SlideShare a Scribd company logo
1 of 67
Variation
           Siân Williams, IPCRG Executive Officer
           IPCRG Biennial Conference May 2008

© IPCRG 2007
The 1980s… “evaluative science”




Page 2 - © IPCRG 2007
                 2008
What this session will cover:

 •      What is meant by variation?
 •      Does it matter?
 •      How should it be analysed?
 •      What can be done by individuals?
 •      What can be done by IPCRG?




Page 3 - © IPCRG 2007
                 2008
What is meant by variation?



© IPCRG 2007
Patient
                                                               variation:
                                                               smoking
                                                               prevalence
                                                               eg 13-15 years

                                                               Data 2001 or later

                                                                Green: 30% and over
                                                                Blue 20%-29%


Page 5 - © IPCRG 2007
                 2008   Mackay J et al The Tobacco Atlas, 2nd ed 2006. American Cancer Society, UICC.
Patient
                                                                          variation:
                                                                          deaths from
                                                                          tobacco use
                                                                            More than 25% of
                                                                            35-69 year old
                                                                            males + 20% of
                                                                            females living above
                                                                            the lines will die
                                                                            from tobacco use


Page 6 - © IPCRG 2007
                 2008   Mackay J et al The Tobacco Atlas, 2nd ed 2006. American Cancer Society, UICC. Also
Variation male/female; incidence and outcome: lung
      cancer in Europe
   Age-standardised cancer incidence rates                          Age-standardised (European)
   per 100,000 population, lung cancer, by                          mortality rates, lung cancer, EU
   sex, EU, 2006                                                    countries, 2002 estimates




Page 7 - © IPCRG 2007
                 2008   http://info.cancerresearchuk.org/cancerstats/types/lung/mortality/
Page 8 - © IPCRG 2007
                 2008
Variation in smoking cessation rates
 Good news in UK - that most deprived areas doing better
 but:

 •      Nearly 50% of health orgs in deprived areas were “excellent” vs
        20% in affluent areas
 •      Those scoring “excellent” most likely to hit quit rate target (87%
        did)
 •      Those with extra resources did better
 •      Those performing poorly not working with other agencies
 •      Most not consulting with public about how to do it
 •      Health orgs not developing expertise of own staff




Page 9 - © IPCRG 2007
                 2008   http://www.healthcarecommission.org.uk
Page 10 - © IPCRG 2007
                  2008
Dartmouth Atlas: variation in preference-
 sensitive care, and in effective care




Page 11 - © IPCRG 2007
                  2008
                         http://www.dartmouthatlas.org/atlases/atlas_series.shtm
Dartmouth Atlas: Variation in
  supply-sensitive care
  •     Hospitalisations for medical conditions
  •     Stays in intensive care units
  •     Visits to physicians
  •     Referrals to specialists




Page 12 - © IPCRG 2007
                  2008   Wennburg J. Unwarranted variations in healthcare delivery: implications for academic medical centres BMJ. 2002 October 26;
Show asthma or COPD variation




Page 13 - © IPCRG 2007
                  2008
Further analysis to inform PCT work programme (Havering PCT)



                                                                                            National Prevalence      PCT Prevalence
                                      120                                                     for COPD (1%)         for COPD (1.4%)

                                               High achievement                                                                       High achievement in COPD Indicators
                                               Low prevalence vs. PCT and National                                                    High prevalence vs. PCT and National

                                      100
% Diagnosis Confirmed by Spirometry




                                      80




                                      60
                                             50% achievement
                                            in COPD Indicator 3

                                      40




                                      20

                                               Low Prevalence                                                                   High Prevalence vs PCT and National
                                               Low Achievement                                                                  Low achievement in COPD Indicators
                                       0
                                       0.0%                       0.4%               0.8%                         1.2%                          1.6%                     2.0%
Page 14 - © IPCRG 2007
                  2008
                                                                                                       % COPD Prevalence
Unwarranted and warranted sources of practice variation
            Unwarranted                                               Warranted
•     Variable access to resources                         •   Clinical differences among
      and expertise                                            patients
•     Insufficient research                                •   Variable risk attitudes
•     Unfounded enthusiasm
                                                           •   Variable preferences
•     Parochial perspectives                                   among health outcomes
•     Faulty interpretation
                                                           •   Variable willingness to
•     Poor information flow                                    make time trade-offs
•     Poor communication
                                                           •   Variable tolerance for
•     Role confusion                                           decision responsibility
                                                           •    Variable coping styles
    Decreasingly knowledge-                                    Increasingly patient-
             based                                                   centered
Page 15 - © IPCRG 2007
                  2008   Prof Al Mulley, Foundation for Informed Medical Decision Making www.fidm.org
There is a gap between
           what we know and what
          we do…and, particularly
               in low income
          countries, there is also a
            gap between what we
          need and what is known
Page 16 - © IPCRG 2007
                  2008
                         Prof Don Berwick www.ihi.org
Underuse, overuse and misuse?
Active symptom                       intensive or acute
management in                        care for people with
end stages of                        COPD
COPD                        Increased use of
                            LABA/ICS combinations
                            for asthma


In UK, in 2005 574 different
head and socket combinations
used in hip replacement ops           Use of inhaled
England and Wales…impossible          medication for
to get meaningful data or gain        asthma in Asia
bulk purchase deals                   Pacific
Page 17 - © IPCRG 2007
                  2008
Why does it matter?



© IPCRG 2007
Why does it matter?

  •     We don‟t use all the science we know - use the
        evidence to improve outcomes
  •     We could reduce health inequalities and achieve global
        targets of EQUITY
  •     We should avoid unnecessary risks for patients and
  •     Use scarce resources efficiently and
  •     Improve self-management



Page 19 - © IPCRG 2007
                  2008
Patients are aware of the
 inequity:
       European Allergy, Asthma & COPD
       Patients’ Sofia Declaration 2 June 2007
 •      Access to good, equal standards of care, no matter
        where you live in Europe

 •      High standards of and access to patient &
        professional education, information and new
        knowledge

 •      Healthy, unpolluted air to breathe indoors and out

Page 20 - © IPCRG 2007
                  2008
                         European Federation of Allergy and Airways Diseases Patient‟s Association (EFA) www.efanet.org
Both “underuse
                         and overuse of
                         treatments are
                         rife in this and
                         most other
                         countries and
                         are enemies of
                         effective
                         healthcare” (UK
                         Chief Medical
                         Officer 2005)
Page 21 - © IPCRG 2007
                  2008
What’s relevance of UK to
 anywhere else?
 • Only 20% of cases of chronic disease occur in
        high income countries
 •      75% of smokers live in low or middle income
        countries
 •      Next 20 years communicable disease is
        predominant problem in low-and middle-income
        countries but then
 •      Epidemic of chronic disease everywhere
 •      Will affect those in poverty most

Page 22 - © IPCRG 2007
                  2008   Ottmani S et al. Respiratory care in primary care services. A survey in 9 countries. WHO 2004. Quoted in Chronic Respiratory
The smoking epidemic
                                                                        Male smokers                                Female smokers
                                                                        Male deaths                                 Female deaths
                                                100                                                                                                         50




                                                 80                                                                                                         40




                                                                                                                                                                 % of d ea ths du e t o sm o ki ng
               % of sm okers am on g a du lts




                                                 60                                                                                                         30




                                                 40                                                                                                         20




                                                 20                                                                                                         10



                                                                                                                                               Year
                                                  0                                                                                                         0
                                                      0        10       20      30     40      50       60          70         80        90           100

                                                            Stage I              Stage II              Stage III                    Stage IV
                                                          Sub-Saharan         China, Japan,           Eastern and                   W Europe,
                                                             Africa              SE Asia,           Southern Europe                 N America
                                                                              Latin America,                                        Australia
                                                                                 N Africa

Page 23 - © IPCRG 2007
                  2008                                                                                       Adapted from Lopez AD, et al.. Tobacco Control 1994; 3: 242-247
Achieving equity is tough
 Patients with low health literacy
 •      Have poorer health status
 •      Are at greater risk of hospitalisation and have longer length of stay
 •      Have higher rates of emergency admission
 •      Are less likely to adhere to plans and treatments
 •      Have more medication and treatment errors
 •      Have less knowledge of disease management and health promoting
        behaviours
 •      Have decreased ability to communicate with HCPs and share decision-
        making
 •      Are less able to make appropriate health decisions
 •      Make less use of preventive service
 •      Incur substantially higher healthcare costs


Page 24 - © IPCRG 2007
                  2008   Coulter and Ellins QEI review Chap 1Health literacy drawing on Ad Hoc Committee on Health Litera
but the evidence exists…
 GP time                                                                                     Increase in
                                                                           5-7 fold
                                                                                                quit rate
                     >5 mins
                                       Intense
                                    intervention

                                                                                         4 fold
         2-5 mins              Moderate intervention



  <1 mins                         Brief intervention
                                                                                                 3 fold



                                                                                                  2 fold
                               A „no-smoking practice‟


Page 25 - © IPCRG 2007
                  2008                                 IPCRG: Adapted from Litt J, et al. Asia Pacific Fam Med. 2003; 2: 175-9
How is it analysed?



© IPCRG 2007
Statistical process control
                                                                              •Shipman and Bristol
                                                                              Royal Infirmary
                                                                              enquiries in NHS
                                                                              •Study variability of
                                                                              performance over time
                                                                              or between insitutions
                                                                              or areas
                                                                              •Powerful tools for
                                                                              population health
                                                                              surveillance
                                                                              •Software available
                                                                              •Define “control” limits
                                                                              of variation beyond
                                                                              which data points
                                                                              worthy of investigation
Page 27 - © IPCRG 2007
                  2008
                         http://www.erpho.org.uk/viewResource.aspx?id=14882
4 sorts of variation (Bevan, UK)
                                                  Natural
                         Natural + common-cause       Natural variation +
                         Eg patient‟s                 “special cause” eg 1st
                         age, gender, disease         time exceptionally sick
                         etc                          child turns up at clinic
Common
cause =
                                                                                  Special
expected
                                                                                  cause =
within a
                                                                                  unusual,
stable                   Artificial + common          Artificial + “special       unexpected
process                                               cause” eg Test results
or system                cause: ordering
- that‟s                 different tests for the      in wrong pile. Lost
“under                                                paperwork. Wrong code.
                         same clinical
control”
                         presentation

                               Artificial = from systems we‟ve developed
Page 28 - © IPCRG 2007
                  2008    Bevan H. NHS Institute for Innovation and Improvement
Our reaction to data about our services

 • The data are wrong

 • The data are right but they are not a problem

 • The data are right, it is a problem, but it’s not MY
   problem

 • The data are right, it is a problem, and it is my
   problem




Page 29 - © IPCRG 2007
                  2008
                         Don Berwick, IHI
ICU ADMISSION
                                  ICU admission
                            YES
                            YES                 NO
                                               NO


                         1 (1)            2 (14)

              YES


         Comfort
          Care                            4 (34)
                         3 (1)
                NO


Page 30 - © IPCRG 2007
                  2008
So we know what it is, and how it is
           analysed, but so what?


© IPCRG 2007
Model for Improvement


     What are we trying to accomplish?
     How will we know that a change is an improvement?
     What changes can we make that will result in an
     improvement?


                                       Act   Plan

                                     Study    Do


    32
 Page 32 - © IPCRG 2007   Institute of Healthcare Improvement
NHS Institute: the 19 ACS conditions: 19
    conditions

                                               UK:
                                               Admissions
                                               for “ACS
                                               conditions”
                                               account
                                               for 6% -
                                               13.2% of
                                               total
                                               hospital
                                               costs




Page 33 - © IPCRG 2007
                  2008
Why? What is the root
  cause, and how can this
  change?
                                                        For what purpose do you do
                                                        things?

                                                             How do you think of
                                                            yourself? “I am..”

                                                            What‟s important? Why?

                                                           How do you/they do that?

                                                          What you do/communicate

                                                          Does where you are
                                                          help/hinder?


Page 34 - © IPCRG 2007
                  2008   Developed by Gregory Bateson, Enhanced by Robert Dilts
Checkland’s sensemaking questions:
 • What stories do staff tell about their practice
 • What roles are occupied in this practice?
 • What is considered legitimate work?
 • How do you define success?
 • How has this practice responded to external
   events in the past?
 Examining response to change:
 • How do perceptions of legitimate work affect
   approaches to change?
 • How are roles changing in the practice?


Page 35 - © IPCRG 2007
                  2008   Checkland K. B Understanding general practice:a conceptual framework developed from case studies in the UK NHS
The implications for change management in
 primary care

 •      General practices/primary care offices are small
        organisations
 •      Change needs to be bottom up and
 •      Is determined by PCP’s view of organisational reality
 •       Important factors for generating responses to change
        included
          o the story that the practice members told about their
            practice,
          o beliefs about what counted as legitimate work,
          o the role played by the manager, and
          o previous experiences of change.




Page 36 - © IPCRG 2007
                  2008
Identity:

                         Do you
                         identify a
Do you                   hierarchy?
regard
smoking
cessation                Is your
as                       identity a
legitimate               problem-
work for                 solver,
you?                     provider of
                         continuous
                         care, follower
                         of protocol?
Page 37 - © IPCRG 2007
                  2008
Behaviours and beliefs




                          “In early stages of the smoking pandemic, higher status
                            individuals like health professionals tend to exhibit
                         markedly higher smoking prevalence rates than general
                             population. In later stages..health professionals -
                         direct observers of the terrible health consequences,…
                         often quit smoking and initiate national tobacco-control
                                                 movements”


Page 38 - © IPCRG 2007
                  2008
                            WHO Tobacco Atlas
Beliefs: physician smoking (data available 2005)




                                             41% and
                                             above


                                             57% of male
                                             physician in
                                             China are
                                             smokers

Page 39 - © IPCRG 2007
                  2008   WHO Tobacco Atlas
So what does it mean for you, and
           us?


© IPCRG 2007
What does this mean for practice?

 Patient-side                 Clinician-side

 •      Use tools to          •   Pay attention to own beliefs
                                  and identity
        understand level of
                              •   Use tools to identify patient‟s
        knowledge, needs,
                                  needs and beliefs
        beliefs, identity
                              •   Educate
 •      Share decisions       •   Apply the evidence
                              •   Share decisions




Page 41 - © IPCRG 2007
                  2008
IHI chronic care




Page 42 - © IPCRG 2007
                  2008
                         Wagner EH. Chronic disease management: What will it take to improve care for chronic illness? Effective Clinical Practice. 1998;1(1):2-4.
Addressing warranted and
unwarranted variation
    Knowledge-Based                                             Patient-Centered
•      Manage all relevant knowledge and                   •   Tailor evidence for individuals
       expertise                                           •   Frame problems from the patient’s
         o Access and critically appraise                      perspective
           evidence
                                                           •   Communicate options and probabilities
         o Access and selectively use
                                                               of outcomes
           expertise of colleagues
         o Access and use guidelines and                   •   Help patients to accurately imagine
           other support when appropriate                      alternative futures
         o Acknowledge uncertainty                         •   Elicit and accommodate patients’
         o Recognize uniqueness                                informed preferences
•      Avoid over-learning and selective                   •   Elicit motivation when needed
       inattention; maintain
                                                           •   Build patients’ confidence and affirm
       context
                                                               their competence
•      Communicate effectively
                                                           •   Use patients’ experiences as a source
                                                               of knowledge
  Unwarranted variation                                        Warranted variation
Page 44 - © IPCRG 2007
                  2008   Prof Al Mulley, Foundation for Informed Medical Decision Making www.fidm.org
Segment patients




Page 45 - © IPCRG 2007
                  2008
Page 46 - © IPCRG 2007
                  2008
Example of respiratory research on
  segmentation
         A-L Caress, K Beaver, K Luker, M Campbell and A
         Woodcock. Involvement in treatment decisions: what
         do adults with asthma want and what do they get?
         Results of a cross sectional survey
         categorized asthma patients into those who prefer    -
         - an active role
         - collaborative role or
         - passive role
         at a time of routine care and during an acute phase of
         their illness
         + (under diagnosed anxiety and depression)

Page 47 - © IPCRG 2007
                  2008
                         Thorax 2005;60;199-205
Use of different databases…
                               Mosaic groups:
•      Postcode level data:    Symbols of success - career
       17 households           professionals

•      Refreshed yearly
                               Happy families - younger families
                               Ties of community - close-knit inner
•      54% of data from        city
       Census, 46% from        Urban intelligence - educate,
                               young, single, transient
       lifestyle data,
                               Welfare borderline
       financial records,
                               Municipal dependency
       survey data             Blue collar enterprise
•      Data linkage: health,   Twilight subsistence
       lifestyle, attitudes,   Grey perspectives
       crime, etc              Rural isolation

Page 48 - © IPCRG 2007
                  2008
GARD: 3 segments in low
 income countries
 • In urban areas with high income +
        settled, sedentary lifestyle
        o High income, can afford diagnostics and treatments
        o Government workers - reimbursed
        o Industrial, agricultural, service sector workers -
          reimbursed
 •      In urban areas with limited resources or jobless
        OR in low income suburban or periurban areas
 •      Poor people in rural areas

Page 49 - © IPCRG 2007
                  2008
                         Global Alliance Against Respiratory Disease a comprehensive approach
Understand environment, beliefs

 “ in your country
 disclosure is
 empowering…in mine,
 I have to think who to
 tell, even my family”




Page 50 - © IPCRG 2007
                  2008
Effective strategies: informing,educating
 and involving patients
 •      Improve health literacy:
        o Printed leaflets and health information packages
        o Computer based and internet health information
        o Targeted approaches to tackle low health literacy
        o Targeted mass media campaigns
 •      Improve clinical decision making
        o Patient decision aids
        o Training in communication skills for HCPs
        o Coaching and question prompts for patients




Page 51 - © IPCRG 2007
                  2008   Effectiveness of strategies for informing, educating and involving patients. Coulter A. Ellins J. BMJ
Effective strategies: informing,educating and
 involving patients
  •     Improve self care
        o Self management education
        o Self monitoring and self adminstered treatment
        o Self help groups and peer support
        o Patient access to personal medical information
        o Patient centred telecare
  •     Improve patient safety
        o Information to help choose safe providers
        o Patient involvement in infection control
        o Encouraging adherence to treatment regimes
        o Check records and care processes
        o Patient reporting of adverse drug events

Page 52 - © IPCRG 2007
                  2008   Effectiveness of strategies for informing, educating and involving patients. Coulter A. Ellins J. BMJ 2007:335;24-27
The competition for public
 attention:




Page 53 - © IPCRG 2007
                  2008
Dept Health: passive
                         smoking
 Social marketing to
 prevent illness UK
 Dept Health, different
 brands, different
 messages, same goal            CHF
                                charities:
                                “Artery”
                                campaign

                                                Cancer
                                                charities:
                                                “light”
                                                still has
                                                same
Page 54 - © IPCRG 2007
                  2008
                                                nicotine
Health coaching
       o IHI testing
         teamlets

       o Health
         Dialog
         selling
         “health
         coaching” to
         create co-
         producers in
         healthcare

Page 55 - © IPCRG 2007
                  2008   Ann Fam Med. 2007 Sep-Oct;5(5):457-61 Bodenheimer T, Laing BY
Education:
cardiothoracic
surgery UK




Page 56 - © IPCRG 2007
                  2008
                         http://heartsurgery.healthcarecommission.org.uk/Survival.aspx
Public expectation is more
  informed: CABG surgery UK: one
  hospital compared to others




Page 57 - © IPCRG 2007
                  2008
                         http://heartsurgery.healthcarecommission.org.uk/Survival.aspx
Public expectation is more
    informed: CABG surgery UK: one
    doctor compared to others




Page 58 - © IPCRG 2007
                  2008   http://heartsurgery.healthcarecommission.org.uk/Survival.aspx
Ideal process is for shared decision-
     making where each offers value:

                   CLINICIAN                          PATIENT
 •      diagnosis                          •   experience of illness
 •      disease aetiology                  •   social circumstances
 •      prognosis                          •   attitude to risk
 •      treatment options                  •   values
 •      outcome probabilities              •   preferences




Page 59 - © IPCRG 2007
                  2008   Angela Coulter, Picker Institute
“Knowing is not enough. We must apply.”
 Johann Wolfgang von Goethe




  •     We are not using all the science we know
  •     Individuals integrate the evidence into their own
        practice in a piecemeal way rather than
        systematically to avoid infringing clinical
        autonomy So:
  •     Practise the science of medicine, consistently
  •     Practise the art of
        medicine, together, altruistically


Page 60 - © IPCRG 2007
                  2008
Reliability science                         [René Amalberti IHI]

    No limit on discretion               Increasing safety margins

             Excessive autonomy of actors                   Becoming team player
                                                               Agreeing to become
                                  Craftmanship attitude
                                                               « equivalent actors »
                                                                                      Accepting the residual
                              Ego-centered safety protections, vertical conflicts risk
                                                                                           Accepting that
                                             Loss of visibility of risk, freezing actions changes can be
                                                                                           destructive
                                                                              Blood transfusion
                                         Fatal Iatrogenic




                                                                                                               No system beyond
                                         adverse events                    Anesthesiology
                                                                                    ASA1




                                                                                                                   this point
             Cardiac Surgery               Medical risk (total)
             Patient ASA 3-5
Himalaya                                                          Chartered Flight
mountaineering                                                                         Civil Aviation

                 Microlight or             Road Safety                               Railways (France)
                 helicopters spreading
                 activity                      Chemical Industry (total)                    Nuclear Industry



   10-2                  10-3                  10-4                       10-5                 10-6                       Fatal
  Very unsafe                                                                                     Ultra safe              Risk
Page 62 - © IPCRG 2007
                  2008
NICE: how to change practice




Page 63 - © IPCRG 2007
                  2008   National Institute of Clinical Effectiveness. How to change practice. Dec 200 www.nice.org.uk
Disseminating innovations in health
 care: 7 principles for managers
 •      Find sound innovations with these perceived attributes:
 •      Find and support innovators
 •      Invest in early adopters: they are the opinion leaders
 •      Make early adopter activity observable
 •      Trust and enable reinvention
 •      Create slack for change
 •      Lead by example




Page 64 - © IPCRG 2007
                  2008
                         Berwick D. Disseminating innovations in Health Care. JAMA 2003; 28:1969-1975
What does it mean for the IPCRG?

 •      Collaborate on real life research
 •      Support research and analytical techniques
 •      Disseminate knowledge to clinicians
 •      Disseminate knowledge to the public
 •      Create tools that can support concordance
        o Elicit beliefs, identity of clinician and patient
        o Support shared decision-making - decision aids
 •      Learn from each other


Page 65 - © IPCRG 2007
                  2008
Four areas of activity




         Endorsement



                                             Education


       Research + Publications   Promotion




Page 66 - © IPCRG 2007
                  2008
Primary Care Respiratory Journal

 Medline listed
 Primary care authors
 Primary care editorial board
 Primary care audience




Page 67 - © IPCRG 2007
                  2008
So what does this mean?
 • Collect data to look for variation
 • Analyse: warranted or unwarranted
 • If unwarranted: common or special cause?
        Misuse, underuse or overuse?
 •      Plan the intervention: seek beliefs, concerns, identity.
        Consider segmentation. Apply the evidence
        consistently.
 •      Aim to make shared decisions: be aware of personal
        identity and beliefs too
 •      IPCRG will collaborate to provide:
        research, publications, endorsement, education +
        promotion
Page 68 - © IPCRG 2007
                  2008

More Related Content

What's hot

Zura '16-JAMA Surg-Epidemiology
Zura '16-JAMA Surg-EpidemiologyZura '16-JAMA Surg-Epidemiology
Zura '16-JAMA Surg-EpidemiologyGrant Steen
 
16 cco korean perspectives of nasopharynx cancer management
16 cco korean perspectives of nasopharynx cancer management16 cco korean perspectives of nasopharynx cancer management
16 cco korean perspectives of nasopharynx cancer managementYong Chan Ahn
 
Selection bias caused by eligibility for bevacizumab
Selection bias caused by eligibility for bevacizumabSelection bias caused by eligibility for bevacizumab
Selection bias caused by eligibility for bevacizumabYusuke Takagi
 
Patterns of opioid use and risk of opioid overdose.
Patterns of opioid use and risk of opioid overdose.Patterns of opioid use and risk of opioid overdose.
Patterns of opioid use and risk of opioid overdose.Paul Coelho, MD
 
IOSR Journal of Pharmacy (IOSRPHR)
IOSR Journal of Pharmacy (IOSRPHR)IOSR Journal of Pharmacy (IOSRPHR)
IOSR Journal of Pharmacy (IOSRPHR)iosrphr_editor
 
Thrombotic microangiopathy-associated-with-intravenous-injection-of-opana-er-...
Thrombotic microangiopathy-associated-with-intravenous-injection-of-opana-er-...Thrombotic microangiopathy-associated-with-intravenous-injection-of-opana-er-...
Thrombotic microangiopathy-associated-with-intravenous-injection-of-opana-er-...Annex Publishers
 
Guidance isth _management_of_coagulopathy_in_covid-19 Dr. Freddy Flores Malpa...
Guidance isth _management_of_coagulopathy_in_covid-19 Dr. Freddy Flores Malpa...Guidance isth _management_of_coagulopathy_in_covid-19 Dr. Freddy Flores Malpa...
Guidance isth _management_of_coagulopathy_in_covid-19 Dr. Freddy Flores Malpa...Freddy Flores Malpartida
 
Levels of Utilization and Socio - Economic Factors Influencing Adherence to U...
Levels of Utilization and Socio - Economic Factors Influencing Adherence to U...Levels of Utilization and Socio - Economic Factors Influencing Adherence to U...
Levels of Utilization and Socio - Economic Factors Influencing Adherence to U...inventionjournals
 
Classification and Regression Tree Analysis in Biomedical Research
Classification and Regression Tree Analysis in Biomedical Research Classification and Regression Tree Analysis in Biomedical Research
Classification and Regression Tree Analysis in Biomedical Research Salford Systems
 
Protons Compared to Photons in Pediatric Patients
Protons Compared to Photons in Pediatric PatientsProtons Compared to Photons in Pediatric Patients
Protons Compared to Photons in Pediatric PatientsDanielle Buswell
 
REIRRADIATION FOR BRAIN TUMORS
REIRRADIATION FOR BRAIN TUMORSREIRRADIATION FOR BRAIN TUMORS
REIRRADIATION FOR BRAIN TUMORSKanhu Charan
 
Risk Factors for Short Term Virologic Outcomes Among HIV Infected Patients Un...
Risk Factors for Short Term Virologic Outcomes Among HIV Infected Patients Un...Risk Factors for Short Term Virologic Outcomes Among HIV Infected Patients Un...
Risk Factors for Short Term Virologic Outcomes Among HIV Infected Patients Un...HMO Research Network
 

What's hot (14)

Zura '16-JAMA Surg-Epidemiology
Zura '16-JAMA Surg-EpidemiologyZura '16-JAMA Surg-Epidemiology
Zura '16-JAMA Surg-Epidemiology
 
16 cco korean perspectives of nasopharynx cancer management
16 cco korean perspectives of nasopharynx cancer management16 cco korean perspectives of nasopharynx cancer management
16 cco korean perspectives of nasopharynx cancer management
 
Beyond Eye Treatment
Beyond Eye TreatmentBeyond Eye Treatment
Beyond Eye Treatment
 
Selection bias caused by eligibility for bevacizumab
Selection bias caused by eligibility for bevacizumabSelection bias caused by eligibility for bevacizumab
Selection bias caused by eligibility for bevacizumab
 
Patterns of opioid use and risk of opioid overdose.
Patterns of opioid use and risk of opioid overdose.Patterns of opioid use and risk of opioid overdose.
Patterns of opioid use and risk of opioid overdose.
 
IOSR Journal of Pharmacy (IOSRPHR)
IOSR Journal of Pharmacy (IOSRPHR)IOSR Journal of Pharmacy (IOSRPHR)
IOSR Journal of Pharmacy (IOSRPHR)
 
Thrombotic microangiopathy-associated-with-intravenous-injection-of-opana-er-...
Thrombotic microangiopathy-associated-with-intravenous-injection-of-opana-er-...Thrombotic microangiopathy-associated-with-intravenous-injection-of-opana-er-...
Thrombotic microangiopathy-associated-with-intravenous-injection-of-opana-er-...
 
Guidance isth _management_of_coagulopathy_in_covid-19 Dr. Freddy Flores Malpa...
Guidance isth _management_of_coagulopathy_in_covid-19 Dr. Freddy Flores Malpa...Guidance isth _management_of_coagulopathy_in_covid-19 Dr. Freddy Flores Malpa...
Guidance isth _management_of_coagulopathy_in_covid-19 Dr. Freddy Flores Malpa...
 
Levels of Utilization and Socio - Economic Factors Influencing Adherence to U...
Levels of Utilization and Socio - Economic Factors Influencing Adherence to U...Levels of Utilization and Socio - Economic Factors Influencing Adherence to U...
Levels of Utilization and Socio - Economic Factors Influencing Adherence to U...
 
Classification and Regression Tree Analysis in Biomedical Research
Classification and Regression Tree Analysis in Biomedical Research Classification and Regression Tree Analysis in Biomedical Research
Classification and Regression Tree Analysis in Biomedical Research
 
Protons Compared to Photons in Pediatric Patients
Protons Compared to Photons in Pediatric PatientsProtons Compared to Photons in Pediatric Patients
Protons Compared to Photons in Pediatric Patients
 
REIRRADIATION FOR BRAIN TUMORS
REIRRADIATION FOR BRAIN TUMORSREIRRADIATION FOR BRAIN TUMORS
REIRRADIATION FOR BRAIN TUMORS
 
Risk Factors for Short Term Virologic Outcomes Among HIV Infected Patients Un...
Risk Factors for Short Term Virologic Outcomes Among HIV Infected Patients Un...Risk Factors for Short Term Virologic Outcomes Among HIV Infected Patients Un...
Risk Factors for Short Term Virologic Outcomes Among HIV Infected Patients Un...
 
American Journal of Anesthesia & Clinical Research
American Journal of Anesthesia & Clinical ResearchAmerican Journal of Anesthesia & Clinical Research
American Journal of Anesthesia & Clinical Research
 

Similar to Variation

MON 2011 - Slide 17 - L. Repetto - Spotlight session - Cancer in the older pe...
MON 2011 - Slide 17 - L. Repetto - Spotlight session - Cancer in the older pe...MON 2011 - Slide 17 - L. Repetto - Spotlight session - Cancer in the older pe...
MON 2011 - Slide 17 - L. Repetto - Spotlight session - Cancer in the older pe...European School of Oncology
 
Aridhia at the 4th Big Data Insight Group Forum
Aridhia at the 4th Big Data Insight Group ForumAridhia at the 4th Big Data Insight Group Forum
Aridhia at the 4th Big Data Insight Group ForumAridhia Informatics Ltd
 
Cancer summitt 2020 buffalo aug 2011
Cancer summitt 2020 buffalo aug 2011 Cancer summitt 2020 buffalo aug 2011
Cancer summitt 2020 buffalo aug 2011 Camp Days
 
Presentation study protocol
Presentation study protocolPresentation study protocol
Presentation study protocolSteven Lips
 
AML and Cell Therapy
AML and Cell TherapyAML and Cell Therapy
AML and Cell Therapyspa718
 
Access to cancer medications in low and middle income countries 2013.03.27
Access to cancer medications in low and middle income countries 2013.03.27Access to cancer medications in low and middle income countries 2013.03.27
Access to cancer medications in low and middle income countries 2013.03.27gilberto lopes
 
2019 AHA Hypertension Management in Older and Frail Older Patients.pdf
2019 AHA Hypertension Management in Older and Frail Older Patients.pdf2019 AHA Hypertension Management in Older and Frail Older Patients.pdf
2019 AHA Hypertension Management in Older and Frail Older Patients.pdfkarimahkhitamiaziz1
 
Utah’s All Payer Claims Dataset: A vital resource for health reform
Utah’s All Payer Claims Dataset: A  vital resource for health reformUtah’s All Payer Claims Dataset: A  vital resource for health reform
Utah’s All Payer Claims Dataset: A vital resource for health reformState of Utah, Salt Lake City
 
Dr. Frank Sullivan - Early diagnosis of lung cancer
Dr. Frank Sullivan - Early diagnosis of lung cancerDr. Frank Sullivan - Early diagnosis of lung cancer
Dr. Frank Sullivan - Early diagnosis of lung cancerpincomm
 
Smoking Cessation after Cancer
Smoking Cessation after CancerSmoking Cessation after Cancer
Smoking Cessation after CancerCancer Council NSW
 
Health literacy
Health literacyHealth literacy
Health literacyjescarra
 
Contemporary Management of HIV.How Common Comorbidities Affect ART Management...
Contemporary Management of HIV.How Common Comorbidities Affect ART Management...Contemporary Management of HIV.How Common Comorbidities Affect ART Management...
Contemporary Management of HIV.How Common Comorbidities Affect ART Management...hivlifeinfo
 
Immunological and clinical assessment of adult hiv
Immunological and clinical assessment of adult hivImmunological and clinical assessment of adult hiv
Immunological and clinical assessment of adult hivMonaYuliari
 
SVMPharma Real World Evidence - Randomised controlled trials were never desig...
SVMPharma Real World Evidence - Randomised controlled trials were never desig...SVMPharma Real World Evidence - Randomised controlled trials were never desig...
SVMPharma Real World Evidence - Randomised controlled trials were never desig...SVMPharma Limited
 

Similar to Variation (20)

MON 2011 - Slide 17 - L. Repetto - Spotlight session - Cancer in the older pe...
MON 2011 - Slide 17 - L. Repetto - Spotlight session - Cancer in the older pe...MON 2011 - Slide 17 - L. Repetto - Spotlight session - Cancer in the older pe...
MON 2011 - Slide 17 - L. Repetto - Spotlight session - Cancer in the older pe...
 
Aridhia at the 4th Big Data Insight Group Forum
Aridhia at the 4th Big Data Insight Group ForumAridhia at the 4th Big Data Insight Group Forum
Aridhia at the 4th Big Data Insight Group Forum
 
Cancer summitt 2020 buffalo aug 2011
Cancer summitt 2020 buffalo aug 2011 Cancer summitt 2020 buffalo aug 2011
Cancer summitt 2020 buffalo aug 2011
 
Presentation study protocol
Presentation study protocolPresentation study protocol
Presentation study protocol
 
AML and Cell Therapy
AML and Cell TherapyAML and Cell Therapy
AML and Cell Therapy
 
Access to cancer medications in low and middle income countries 2013.03.27
Access to cancer medications in low and middle income countries 2013.03.27Access to cancer medications in low and middle income countries 2013.03.27
Access to cancer medications in low and middle income countries 2013.03.27
 
Smoking hazards
Smoking hazardsSmoking hazards
Smoking hazards
 
2019 AHA Hypertension Management in Older and Frail Older Patients.pdf
2019 AHA Hypertension Management in Older and Frail Older Patients.pdf2019 AHA Hypertension Management in Older and Frail Older Patients.pdf
2019 AHA Hypertension Management in Older and Frail Older Patients.pdf
 
5.14.11.public health
5.14.11.public health5.14.11.public health
5.14.11.public health
 
5.14.11.public health
5.14.11.public health5.14.11.public health
5.14.11.public health
 
5.14.11.public health
5.14.11.public health5.14.11.public health
5.14.11.public health
 
5.14.11.public health
5.14.11.public health5.14.11.public health
5.14.11.public health
 
Utah’s All Payer Claims Dataset: A vital resource for health reform
Utah’s All Payer Claims Dataset: A  vital resource for health reformUtah’s All Payer Claims Dataset: A  vital resource for health reform
Utah’s All Payer Claims Dataset: A vital resource for health reform
 
Dr. Frank Sullivan - Early diagnosis of lung cancer
Dr. Frank Sullivan - Early diagnosis of lung cancerDr. Frank Sullivan - Early diagnosis of lung cancer
Dr. Frank Sullivan - Early diagnosis of lung cancer
 
Smoking Cessation after Cancer
Smoking Cessation after CancerSmoking Cessation after Cancer
Smoking Cessation after Cancer
 
Health literacy
Health literacyHealth literacy
Health literacy
 
Contemporary Management of HIV.How Common Comorbidities Affect ART Management...
Contemporary Management of HIV.How Common Comorbidities Affect ART Management...Contemporary Management of HIV.How Common Comorbidities Affect ART Management...
Contemporary Management of HIV.How Common Comorbidities Affect ART Management...
 
Immunological and clinical assessment of adult hiv
Immunological and clinical assessment of adult hivImmunological and clinical assessment of adult hiv
Immunological and clinical assessment of adult hiv
 
onclogy.pptx
onclogy.pptxonclogy.pptx
onclogy.pptx
 
SVMPharma Real World Evidence - Randomised controlled trials were never desig...
SVMPharma Real World Evidence - Randomised controlled trials were never desig...SVMPharma Real World Evidence - Randomised controlled trials were never desig...
SVMPharma Real World Evidence - Randomised controlled trials were never desig...
 

More from Patients Know Best

From transparency to collaboration
From transparency to collaborationFrom transparency to collaboration
From transparency to collaborationPatients Know Best
 
The challenges and benefits of implementing and using personal health and car...
The challenges and benefits of implementing and using personal health and car...The challenges and benefits of implementing and using personal health and car...
The challenges and benefits of implementing and using personal health and car...Patients Know Best
 
BMJ Feature: Flipping the model for access to patient records
BMJ Feature: Flipping the model for access to patient recordsBMJ Feature: Flipping the model for access to patient records
BMJ Feature: Flipping the model for access to patient recordsPatients Know Best
 
2015 Global Digital Health 100
2015 Global Digital Health 1002015 Global Digital Health 100
2015 Global Digital Health 100Patients Know Best
 
Digital Health in the UK: An industry study for the Office of Life Sciences
Digital Health in the UK: An industry study for the Office of Life SciencesDigital Health in the UK: An industry study for the Office of Life Sciences
Digital Health in the UK: An industry study for the Office of Life SciencesPatients Know Best
 
Smart technology must be at the heart of any gp efficiency drive the inform...
Smart technology must be at the heart of any gp efficiency drive   the inform...Smart technology must be at the heart of any gp efficiency drive   the inform...
Smart technology must be at the heart of any gp efficiency drive the inform...Patients Know Best
 
2014.10.hsj.clinical leaders-2014-1
2014.10.hsj.clinical leaders-2014-12014.10.hsj.clinical leaders-2014-1
2014.10.hsj.clinical leaders-2014-1Patients Know Best
 
PKB Satisfaction St. Mark's Study
PKB Satisfaction St. Mark's StudyPKB Satisfaction St. Mark's Study
PKB Satisfaction St. Mark's StudyPatients Know Best
 
2014.05.online consultations – the future
2014.05.online consultations – the future 2014.05.online consultations – the future
2014.05.online consultations – the future Patients Know Best
 
Keeping your online health and social care records safe and secure
Keeping your online health and social care records safe and secureKeeping your online health and social care records safe and secure
Keeping your online health and social care records safe and securePatients Know Best
 
Royal Society of Medicine Lecture: World's First Patient-controlled Medical R...
Royal Society of Medicine Lecture: World's First Patient-controlled Medical R...Royal Society of Medicine Lecture: World's First Patient-controlled Medical R...
Royal Society of Medicine Lecture: World's First Patient-controlled Medical R...Patients Know Best
 
PKB poster at St Mark's Hospital
PKB poster at St Mark's HospitalPKB poster at St Mark's Hospital
PKB poster at St Mark's HospitalPatients Know Best
 

More from Patients Know Best (14)

From transparency to collaboration
From transparency to collaborationFrom transparency to collaboration
From transparency to collaboration
 
The challenges and benefits of implementing and using personal health and car...
The challenges and benefits of implementing and using personal health and car...The challenges and benefits of implementing and using personal health and car...
The challenges and benefits of implementing and using personal health and car...
 
2015 HSJ Clinical Leaders
2015 HSJ Clinical Leaders2015 HSJ Clinical Leaders
2015 HSJ Clinical Leaders
 
BMJ Feature: Flipping the model for access to patient records
BMJ Feature: Flipping the model for access to patient recordsBMJ Feature: Flipping the model for access to patient records
BMJ Feature: Flipping the model for access to patient records
 
2015 Global Digital Health 100
2015 Global Digital Health 1002015 Global Digital Health 100
2015 Global Digital Health 100
 
Digital Health in the UK: An industry study for the Office of Life Sciences
Digital Health in the UK: An industry study for the Office of Life SciencesDigital Health in the UK: An industry study for the Office of Life Sciences
Digital Health in the UK: An industry study for the Office of Life Sciences
 
NIB report
NIB reportNIB report
NIB report
 
Smart technology must be at the heart of any gp efficiency drive the inform...
Smart technology must be at the heart of any gp efficiency drive   the inform...Smart technology must be at the heart of any gp efficiency drive   the inform...
Smart technology must be at the heart of any gp efficiency drive the inform...
 
2014.10.hsj.clinical leaders-2014-1
2014.10.hsj.clinical leaders-2014-12014.10.hsj.clinical leaders-2014-1
2014.10.hsj.clinical leaders-2014-1
 
PKB Satisfaction St. Mark's Study
PKB Satisfaction St. Mark's StudyPKB Satisfaction St. Mark's Study
PKB Satisfaction St. Mark's Study
 
2014.05.online consultations – the future
2014.05.online consultations – the future 2014.05.online consultations – the future
2014.05.online consultations – the future
 
Keeping your online health and social care records safe and secure
Keeping your online health and social care records safe and secureKeeping your online health and social care records safe and secure
Keeping your online health and social care records safe and secure
 
Royal Society of Medicine Lecture: World's First Patient-controlled Medical R...
Royal Society of Medicine Lecture: World's First Patient-controlled Medical R...Royal Society of Medicine Lecture: World's First Patient-controlled Medical R...
Royal Society of Medicine Lecture: World's First Patient-controlled Medical R...
 
PKB poster at St Mark's Hospital
PKB poster at St Mark's HospitalPKB poster at St Mark's Hospital
PKB poster at St Mark's Hospital
 

Recently uploaded

Call Girls Cuttack Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Cuttack Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Cuttack Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Cuttack Just Call 9907093804 Top Class Call Girl Service AvailableDipal Arora
 
Call Girls Nagpur Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Nagpur Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Nagpur Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Nagpur Just Call 9907093804 Top Class Call Girl Service AvailableDipal Arora
 
All Time Service Available Call Girls Marine Drive 📳 9820252231 For 18+ VIP C...
All Time Service Available Call Girls Marine Drive 📳 9820252231 For 18+ VIP C...All Time Service Available Call Girls Marine Drive 📳 9820252231 For 18+ VIP C...
All Time Service Available Call Girls Marine Drive 📳 9820252231 For 18+ VIP C...Arohi Goyal
 
(Rocky) Jaipur Call Girl - 09521753030 Escorts Service 50% Off with Cash ON D...
(Rocky) Jaipur Call Girl - 09521753030 Escorts Service 50% Off with Cash ON D...(Rocky) Jaipur Call Girl - 09521753030 Escorts Service 50% Off with Cash ON D...
(Rocky) Jaipur Call Girl - 09521753030 Escorts Service 50% Off with Cash ON D...indiancallgirl4rent
 
VIP Service Call Girls Sindhi Colony 📳 7877925207 For 18+ VIP Call Girl At Th...
VIP Service Call Girls Sindhi Colony 📳 7877925207 For 18+ VIP Call Girl At Th...VIP Service Call Girls Sindhi Colony 📳 7877925207 For 18+ VIP Call Girl At Th...
VIP Service Call Girls Sindhi Colony 📳 7877925207 For 18+ VIP Call Girl At Th...jageshsingh5554
 
Manyata Tech Park ( Call Girls ) Bangalore ✔ 6297143586 ✔ Hot Model With Sexy...
Manyata Tech Park ( Call Girls ) Bangalore ✔ 6297143586 ✔ Hot Model With Sexy...Manyata Tech Park ( Call Girls ) Bangalore ✔ 6297143586 ✔ Hot Model With Sexy...
Manyata Tech Park ( Call Girls ) Bangalore ✔ 6297143586 ✔ Hot Model With Sexy...vidya singh
 
Call Girls Varanasi Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Varanasi Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Varanasi Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Varanasi Just Call 9907093804 Top Class Call Girl Service AvailableDipal Arora
 
Top Rated Bangalore Call Girls Richmond Circle ⟟ 9332606886 ⟟ Call Me For Ge...
Top Rated Bangalore Call Girls Richmond Circle ⟟  9332606886 ⟟ Call Me For Ge...Top Rated Bangalore Call Girls Richmond Circle ⟟  9332606886 ⟟ Call Me For Ge...
Top Rated Bangalore Call Girls Richmond Circle ⟟ 9332606886 ⟟ Call Me For Ge...narwatsonia7
 
Call Girls Siliguri Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Siliguri Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Siliguri Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Siliguri Just Call 9907093804 Top Class Call Girl Service AvailableDipal Arora
 
Pondicherry Call Girls Book Now 9630942363 Top Class Pondicherry Escort Servi...
Pondicherry Call Girls Book Now 9630942363 Top Class Pondicherry Escort Servi...Pondicherry Call Girls Book Now 9630942363 Top Class Pondicherry Escort Servi...
Pondicherry Call Girls Book Now 9630942363 Top Class Pondicherry Escort Servi...Genuine Call Girls
 
Call Girls Ooty Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Ooty Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Ooty Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Ooty Just Call 9907093804 Top Class Call Girl Service AvailableDipal Arora
 
Call Girls Bangalore Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Bangalore Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Bangalore Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Bangalore Just Call 9907093804 Top Class Call Girl Service AvailableDipal Arora
 
Call Girls Bareilly Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Bareilly Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Bareilly Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Bareilly Just Call 9907093804 Top Class Call Girl Service AvailableDipal Arora
 
Russian Escorts Girls Nehru Place ZINATHI 🔝9711199012 ☪ 24/7 Call Girls Delhi
Russian Escorts Girls  Nehru Place ZINATHI 🔝9711199012 ☪ 24/7 Call Girls DelhiRussian Escorts Girls  Nehru Place ZINATHI 🔝9711199012 ☪ 24/7 Call Girls Delhi
Russian Escorts Girls Nehru Place ZINATHI 🔝9711199012 ☪ 24/7 Call Girls DelhiAlinaDevecerski
 
Night 7k to 12k Navi Mumbai Call Girl Photo 👉 BOOK NOW 9833363713 👈 ♀️ night ...
Night 7k to 12k Navi Mumbai Call Girl Photo 👉 BOOK NOW 9833363713 👈 ♀️ night ...Night 7k to 12k Navi Mumbai Call Girl Photo 👉 BOOK NOW 9833363713 👈 ♀️ night ...
Night 7k to 12k Navi Mumbai Call Girl Photo 👉 BOOK NOW 9833363713 👈 ♀️ night ...aartirawatdelhi
 
The Most Attractive Hyderabad Call Girls Kothapet 𖠋 6297143586 𖠋 Will You Mis...
The Most Attractive Hyderabad Call Girls Kothapet 𖠋 6297143586 𖠋 Will You Mis...The Most Attractive Hyderabad Call Girls Kothapet 𖠋 6297143586 𖠋 Will You Mis...
The Most Attractive Hyderabad Call Girls Kothapet 𖠋 6297143586 𖠋 Will You Mis...chandars293
 
Best Rate (Hyderabad) Call Girls Jahanuma ⟟ 8250192130 ⟟ High Class Call Girl...
Best Rate (Hyderabad) Call Girls Jahanuma ⟟ 8250192130 ⟟ High Class Call Girl...Best Rate (Hyderabad) Call Girls Jahanuma ⟟ 8250192130 ⟟ High Class Call Girl...
Best Rate (Hyderabad) Call Girls Jahanuma ⟟ 8250192130 ⟟ High Class Call Girl...astropune
 
♛VVIP Hyderabad Call Girls Chintalkunta🖕7001035870🖕Riya Kappor Top Call Girl ...
♛VVIP Hyderabad Call Girls Chintalkunta🖕7001035870🖕Riya Kappor Top Call Girl ...♛VVIP Hyderabad Call Girls Chintalkunta🖕7001035870🖕Riya Kappor Top Call Girl ...
♛VVIP Hyderabad Call Girls Chintalkunta🖕7001035870🖕Riya Kappor Top Call Girl ...astropune
 
Top Quality Call Girl Service Kalyanpur 6378878445 Available Call Girls Any Time
Top Quality Call Girl Service Kalyanpur 6378878445 Available Call Girls Any TimeTop Quality Call Girl Service Kalyanpur 6378878445 Available Call Girls Any Time
Top Quality Call Girl Service Kalyanpur 6378878445 Available Call Girls Any TimeCall Girls Delhi
 
Call Girls Tirupati Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Tirupati Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Tirupati Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Tirupati Just Call 9907093804 Top Class Call Girl Service AvailableDipal Arora
 

Recently uploaded (20)

Call Girls Cuttack Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Cuttack Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Cuttack Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Cuttack Just Call 9907093804 Top Class Call Girl Service Available
 
Call Girls Nagpur Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Nagpur Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Nagpur Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Nagpur Just Call 9907093804 Top Class Call Girl Service Available
 
All Time Service Available Call Girls Marine Drive 📳 9820252231 For 18+ VIP C...
All Time Service Available Call Girls Marine Drive 📳 9820252231 For 18+ VIP C...All Time Service Available Call Girls Marine Drive 📳 9820252231 For 18+ VIP C...
All Time Service Available Call Girls Marine Drive 📳 9820252231 For 18+ VIP C...
 
(Rocky) Jaipur Call Girl - 09521753030 Escorts Service 50% Off with Cash ON D...
(Rocky) Jaipur Call Girl - 09521753030 Escorts Service 50% Off with Cash ON D...(Rocky) Jaipur Call Girl - 09521753030 Escorts Service 50% Off with Cash ON D...
(Rocky) Jaipur Call Girl - 09521753030 Escorts Service 50% Off with Cash ON D...
 
VIP Service Call Girls Sindhi Colony 📳 7877925207 For 18+ VIP Call Girl At Th...
VIP Service Call Girls Sindhi Colony 📳 7877925207 For 18+ VIP Call Girl At Th...VIP Service Call Girls Sindhi Colony 📳 7877925207 For 18+ VIP Call Girl At Th...
VIP Service Call Girls Sindhi Colony 📳 7877925207 For 18+ VIP Call Girl At Th...
 
Manyata Tech Park ( Call Girls ) Bangalore ✔ 6297143586 ✔ Hot Model With Sexy...
Manyata Tech Park ( Call Girls ) Bangalore ✔ 6297143586 ✔ Hot Model With Sexy...Manyata Tech Park ( Call Girls ) Bangalore ✔ 6297143586 ✔ Hot Model With Sexy...
Manyata Tech Park ( Call Girls ) Bangalore ✔ 6297143586 ✔ Hot Model With Sexy...
 
Call Girls Varanasi Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Varanasi Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Varanasi Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Varanasi Just Call 9907093804 Top Class Call Girl Service Available
 
Top Rated Bangalore Call Girls Richmond Circle ⟟ 9332606886 ⟟ Call Me For Ge...
Top Rated Bangalore Call Girls Richmond Circle ⟟  9332606886 ⟟ Call Me For Ge...Top Rated Bangalore Call Girls Richmond Circle ⟟  9332606886 ⟟ Call Me For Ge...
Top Rated Bangalore Call Girls Richmond Circle ⟟ 9332606886 ⟟ Call Me For Ge...
 
Call Girls Siliguri Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Siliguri Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Siliguri Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Siliguri Just Call 9907093804 Top Class Call Girl Service Available
 
Pondicherry Call Girls Book Now 9630942363 Top Class Pondicherry Escort Servi...
Pondicherry Call Girls Book Now 9630942363 Top Class Pondicherry Escort Servi...Pondicherry Call Girls Book Now 9630942363 Top Class Pondicherry Escort Servi...
Pondicherry Call Girls Book Now 9630942363 Top Class Pondicherry Escort Servi...
 
Call Girls Ooty Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Ooty Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Ooty Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Ooty Just Call 9907093804 Top Class Call Girl Service Available
 
Call Girls Bangalore Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Bangalore Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Bangalore Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Bangalore Just Call 9907093804 Top Class Call Girl Service Available
 
Call Girls Bareilly Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Bareilly Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Bareilly Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Bareilly Just Call 9907093804 Top Class Call Girl Service Available
 
Russian Escorts Girls Nehru Place ZINATHI 🔝9711199012 ☪ 24/7 Call Girls Delhi
Russian Escorts Girls  Nehru Place ZINATHI 🔝9711199012 ☪ 24/7 Call Girls DelhiRussian Escorts Girls  Nehru Place ZINATHI 🔝9711199012 ☪ 24/7 Call Girls Delhi
Russian Escorts Girls Nehru Place ZINATHI 🔝9711199012 ☪ 24/7 Call Girls Delhi
 
Night 7k to 12k Navi Mumbai Call Girl Photo 👉 BOOK NOW 9833363713 👈 ♀️ night ...
Night 7k to 12k Navi Mumbai Call Girl Photo 👉 BOOK NOW 9833363713 👈 ♀️ night ...Night 7k to 12k Navi Mumbai Call Girl Photo 👉 BOOK NOW 9833363713 👈 ♀️ night ...
Night 7k to 12k Navi Mumbai Call Girl Photo 👉 BOOK NOW 9833363713 👈 ♀️ night ...
 
The Most Attractive Hyderabad Call Girls Kothapet 𖠋 6297143586 𖠋 Will You Mis...
The Most Attractive Hyderabad Call Girls Kothapet 𖠋 6297143586 𖠋 Will You Mis...The Most Attractive Hyderabad Call Girls Kothapet 𖠋 6297143586 𖠋 Will You Mis...
The Most Attractive Hyderabad Call Girls Kothapet 𖠋 6297143586 𖠋 Will You Mis...
 
Best Rate (Hyderabad) Call Girls Jahanuma ⟟ 8250192130 ⟟ High Class Call Girl...
Best Rate (Hyderabad) Call Girls Jahanuma ⟟ 8250192130 ⟟ High Class Call Girl...Best Rate (Hyderabad) Call Girls Jahanuma ⟟ 8250192130 ⟟ High Class Call Girl...
Best Rate (Hyderabad) Call Girls Jahanuma ⟟ 8250192130 ⟟ High Class Call Girl...
 
♛VVIP Hyderabad Call Girls Chintalkunta🖕7001035870🖕Riya Kappor Top Call Girl ...
♛VVIP Hyderabad Call Girls Chintalkunta🖕7001035870🖕Riya Kappor Top Call Girl ...♛VVIP Hyderabad Call Girls Chintalkunta🖕7001035870🖕Riya Kappor Top Call Girl ...
♛VVIP Hyderabad Call Girls Chintalkunta🖕7001035870🖕Riya Kappor Top Call Girl ...
 
Top Quality Call Girl Service Kalyanpur 6378878445 Available Call Girls Any Time
Top Quality Call Girl Service Kalyanpur 6378878445 Available Call Girls Any TimeTop Quality Call Girl Service Kalyanpur 6378878445 Available Call Girls Any Time
Top Quality Call Girl Service Kalyanpur 6378878445 Available Call Girls Any Time
 
Call Girls Tirupati Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Tirupati Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Tirupati Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Tirupati Just Call 9907093804 Top Class Call Girl Service Available
 

Variation

  • 1. Variation Siân Williams, IPCRG Executive Officer IPCRG Biennial Conference May 2008 © IPCRG 2007
  • 2. The 1980s… “evaluative science” Page 2 - © IPCRG 2007 2008
  • 3. What this session will cover: • What is meant by variation? • Does it matter? • How should it be analysed? • What can be done by individuals? • What can be done by IPCRG? Page 3 - © IPCRG 2007 2008
  • 4. What is meant by variation? © IPCRG 2007
  • 5. Patient variation: smoking prevalence eg 13-15 years Data 2001 or later Green: 30% and over Blue 20%-29% Page 5 - © IPCRG 2007 2008 Mackay J et al The Tobacco Atlas, 2nd ed 2006. American Cancer Society, UICC.
  • 6. Patient variation: deaths from tobacco use More than 25% of 35-69 year old males + 20% of females living above the lines will die from tobacco use Page 6 - © IPCRG 2007 2008 Mackay J et al The Tobacco Atlas, 2nd ed 2006. American Cancer Society, UICC. Also
  • 7. Variation male/female; incidence and outcome: lung cancer in Europe Age-standardised cancer incidence rates Age-standardised (European) per 100,000 population, lung cancer, by mortality rates, lung cancer, EU sex, EU, 2006 countries, 2002 estimates Page 7 - © IPCRG 2007 2008 http://info.cancerresearchuk.org/cancerstats/types/lung/mortality/
  • 8. Page 8 - © IPCRG 2007 2008
  • 9. Variation in smoking cessation rates Good news in UK - that most deprived areas doing better but: • Nearly 50% of health orgs in deprived areas were “excellent” vs 20% in affluent areas • Those scoring “excellent” most likely to hit quit rate target (87% did) • Those with extra resources did better • Those performing poorly not working with other agencies • Most not consulting with public about how to do it • Health orgs not developing expertise of own staff Page 9 - © IPCRG 2007 2008 http://www.healthcarecommission.org.uk
  • 10. Page 10 - © IPCRG 2007 2008
  • 11. Dartmouth Atlas: variation in preference- sensitive care, and in effective care Page 11 - © IPCRG 2007 2008 http://www.dartmouthatlas.org/atlases/atlas_series.shtm
  • 12. Dartmouth Atlas: Variation in supply-sensitive care • Hospitalisations for medical conditions • Stays in intensive care units • Visits to physicians • Referrals to specialists Page 12 - © IPCRG 2007 2008 Wennburg J. Unwarranted variations in healthcare delivery: implications for academic medical centres BMJ. 2002 October 26;
  • 13. Show asthma or COPD variation Page 13 - © IPCRG 2007 2008
  • 14. Further analysis to inform PCT work programme (Havering PCT) National Prevalence PCT Prevalence 120 for COPD (1%) for COPD (1.4%) High achievement High achievement in COPD Indicators Low prevalence vs. PCT and National High prevalence vs. PCT and National 100 % Diagnosis Confirmed by Spirometry 80 60 50% achievement in COPD Indicator 3 40 20 Low Prevalence High Prevalence vs PCT and National Low Achievement Low achievement in COPD Indicators 0 0.0% 0.4% 0.8% 1.2% 1.6% 2.0% Page 14 - © IPCRG 2007 2008 % COPD Prevalence
  • 15. Unwarranted and warranted sources of practice variation Unwarranted Warranted • Variable access to resources • Clinical differences among and expertise patients • Insufficient research • Variable risk attitudes • Unfounded enthusiasm • Variable preferences • Parochial perspectives among health outcomes • Faulty interpretation • Variable willingness to • Poor information flow make time trade-offs • Poor communication • Variable tolerance for • Role confusion decision responsibility • Variable coping styles Decreasingly knowledge- Increasingly patient- based centered Page 15 - © IPCRG 2007 2008 Prof Al Mulley, Foundation for Informed Medical Decision Making www.fidm.org
  • 16. There is a gap between what we know and what we do…and, particularly in low income countries, there is also a gap between what we need and what is known Page 16 - © IPCRG 2007 2008 Prof Don Berwick www.ihi.org
  • 17. Underuse, overuse and misuse? Active symptom intensive or acute management in care for people with end stages of COPD COPD Increased use of LABA/ICS combinations for asthma In UK, in 2005 574 different head and socket combinations used in hip replacement ops Use of inhaled England and Wales…impossible medication for to get meaningful data or gain asthma in Asia bulk purchase deals Pacific Page 17 - © IPCRG 2007 2008
  • 18. Why does it matter? © IPCRG 2007
  • 19. Why does it matter? • We don‟t use all the science we know - use the evidence to improve outcomes • We could reduce health inequalities and achieve global targets of EQUITY • We should avoid unnecessary risks for patients and • Use scarce resources efficiently and • Improve self-management Page 19 - © IPCRG 2007 2008
  • 20. Patients are aware of the inequity: European Allergy, Asthma & COPD Patients’ Sofia Declaration 2 June 2007 • Access to good, equal standards of care, no matter where you live in Europe • High standards of and access to patient & professional education, information and new knowledge • Healthy, unpolluted air to breathe indoors and out Page 20 - © IPCRG 2007 2008 European Federation of Allergy and Airways Diseases Patient‟s Association (EFA) www.efanet.org
  • 21. Both “underuse and overuse of treatments are rife in this and most other countries and are enemies of effective healthcare” (UK Chief Medical Officer 2005) Page 21 - © IPCRG 2007 2008
  • 22. What’s relevance of UK to anywhere else? • Only 20% of cases of chronic disease occur in high income countries • 75% of smokers live in low or middle income countries • Next 20 years communicable disease is predominant problem in low-and middle-income countries but then • Epidemic of chronic disease everywhere • Will affect those in poverty most Page 22 - © IPCRG 2007 2008 Ottmani S et al. Respiratory care in primary care services. A survey in 9 countries. WHO 2004. Quoted in Chronic Respiratory
  • 23. The smoking epidemic Male smokers Female smokers Male deaths Female deaths 100 50 80 40 % of d ea ths du e t o sm o ki ng % of sm okers am on g a du lts 60 30 40 20 20 10 Year 0 0 0 10 20 30 40 50 60 70 80 90 100 Stage I Stage II Stage III Stage IV Sub-Saharan China, Japan, Eastern and W Europe, Africa SE Asia, Southern Europe N America Latin America, Australia N Africa Page 23 - © IPCRG 2007 2008 Adapted from Lopez AD, et al.. Tobacco Control 1994; 3: 242-247
  • 24. Achieving equity is tough Patients with low health literacy • Have poorer health status • Are at greater risk of hospitalisation and have longer length of stay • Have higher rates of emergency admission • Are less likely to adhere to plans and treatments • Have more medication and treatment errors • Have less knowledge of disease management and health promoting behaviours • Have decreased ability to communicate with HCPs and share decision- making • Are less able to make appropriate health decisions • Make less use of preventive service • Incur substantially higher healthcare costs Page 24 - © IPCRG 2007 2008 Coulter and Ellins QEI review Chap 1Health literacy drawing on Ad Hoc Committee on Health Litera
  • 25. but the evidence exists… GP time Increase in 5-7 fold quit rate >5 mins Intense intervention 4 fold 2-5 mins Moderate intervention <1 mins Brief intervention 3 fold 2 fold A „no-smoking practice‟ Page 25 - © IPCRG 2007 2008 IPCRG: Adapted from Litt J, et al. Asia Pacific Fam Med. 2003; 2: 175-9
  • 26. How is it analysed? © IPCRG 2007
  • 27. Statistical process control •Shipman and Bristol Royal Infirmary enquiries in NHS •Study variability of performance over time or between insitutions or areas •Powerful tools for population health surveillance •Software available •Define “control” limits of variation beyond which data points worthy of investigation Page 27 - © IPCRG 2007 2008 http://www.erpho.org.uk/viewResource.aspx?id=14882
  • 28. 4 sorts of variation (Bevan, UK) Natural Natural + common-cause Natural variation + Eg patient‟s “special cause” eg 1st age, gender, disease time exceptionally sick etc child turns up at clinic Common cause = Special expected cause = within a unusual, stable Artificial + common Artificial + “special unexpected process cause” eg Test results or system cause: ordering - that‟s different tests for the in wrong pile. Lost “under paperwork. Wrong code. same clinical control” presentation Artificial = from systems we‟ve developed Page 28 - © IPCRG 2007 2008 Bevan H. NHS Institute for Innovation and Improvement
  • 29. Our reaction to data about our services • The data are wrong • The data are right but they are not a problem • The data are right, it is a problem, but it’s not MY problem • The data are right, it is a problem, and it is my problem Page 29 - © IPCRG 2007 2008 Don Berwick, IHI
  • 30. ICU ADMISSION ICU admission YES YES NO NO 1 (1) 2 (14) YES Comfort Care 4 (34) 3 (1) NO Page 30 - © IPCRG 2007 2008
  • 31. So we know what it is, and how it is analysed, but so what? © IPCRG 2007
  • 32. Model for Improvement What are we trying to accomplish? How will we know that a change is an improvement? What changes can we make that will result in an improvement? Act Plan Study Do 32 Page 32 - © IPCRG 2007 Institute of Healthcare Improvement
  • 33. NHS Institute: the 19 ACS conditions: 19 conditions UK: Admissions for “ACS conditions” account for 6% - 13.2% of total hospital costs Page 33 - © IPCRG 2007 2008
  • 34. Why? What is the root cause, and how can this change? For what purpose do you do things? How do you think of yourself? “I am..” What‟s important? Why? How do you/they do that? What you do/communicate Does where you are help/hinder? Page 34 - © IPCRG 2007 2008 Developed by Gregory Bateson, Enhanced by Robert Dilts
  • 35. Checkland’s sensemaking questions: • What stories do staff tell about their practice • What roles are occupied in this practice? • What is considered legitimate work? • How do you define success? • How has this practice responded to external events in the past? Examining response to change: • How do perceptions of legitimate work affect approaches to change? • How are roles changing in the practice? Page 35 - © IPCRG 2007 2008 Checkland K. B Understanding general practice:a conceptual framework developed from case studies in the UK NHS
  • 36. The implications for change management in primary care • General practices/primary care offices are small organisations • Change needs to be bottom up and • Is determined by PCP’s view of organisational reality • Important factors for generating responses to change included o the story that the practice members told about their practice, o beliefs about what counted as legitimate work, o the role played by the manager, and o previous experiences of change. Page 36 - © IPCRG 2007 2008
  • 37. Identity: Do you identify a Do you hierarchy? regard smoking cessation Is your as identity a legitimate problem- work for solver, you? provider of continuous care, follower of protocol? Page 37 - © IPCRG 2007 2008
  • 38. Behaviours and beliefs “In early stages of the smoking pandemic, higher status individuals like health professionals tend to exhibit markedly higher smoking prevalence rates than general population. In later stages..health professionals - direct observers of the terrible health consequences,… often quit smoking and initiate national tobacco-control movements” Page 38 - © IPCRG 2007 2008 WHO Tobacco Atlas
  • 39. Beliefs: physician smoking (data available 2005) 41% and above 57% of male physician in China are smokers Page 39 - © IPCRG 2007 2008 WHO Tobacco Atlas
  • 40. So what does it mean for you, and us? © IPCRG 2007
  • 41. What does this mean for practice? Patient-side Clinician-side • Use tools to • Pay attention to own beliefs and identity understand level of • Use tools to identify patient‟s knowledge, needs, needs and beliefs beliefs, identity • Educate • Share decisions • Apply the evidence • Share decisions Page 41 - © IPCRG 2007 2008
  • 42. IHI chronic care Page 42 - © IPCRG 2007 2008 Wagner EH. Chronic disease management: What will it take to improve care for chronic illness? Effective Clinical Practice. 1998;1(1):2-4.
  • 43. Addressing warranted and unwarranted variation Knowledge-Based Patient-Centered • Manage all relevant knowledge and • Tailor evidence for individuals expertise • Frame problems from the patient’s o Access and critically appraise perspective evidence • Communicate options and probabilities o Access and selectively use of outcomes expertise of colleagues o Access and use guidelines and • Help patients to accurately imagine other support when appropriate alternative futures o Acknowledge uncertainty • Elicit and accommodate patients’ o Recognize uniqueness informed preferences • Avoid over-learning and selective • Elicit motivation when needed inattention; maintain • Build patients’ confidence and affirm context their competence • Communicate effectively • Use patients’ experiences as a source of knowledge Unwarranted variation Warranted variation Page 44 - © IPCRG 2007 2008 Prof Al Mulley, Foundation for Informed Medical Decision Making www.fidm.org
  • 44. Segment patients Page 45 - © IPCRG 2007 2008
  • 45. Page 46 - © IPCRG 2007 2008
  • 46. Example of respiratory research on segmentation A-L Caress, K Beaver, K Luker, M Campbell and A Woodcock. Involvement in treatment decisions: what do adults with asthma want and what do they get? Results of a cross sectional survey categorized asthma patients into those who prefer - - an active role - collaborative role or - passive role at a time of routine care and during an acute phase of their illness + (under diagnosed anxiety and depression) Page 47 - © IPCRG 2007 2008 Thorax 2005;60;199-205
  • 47. Use of different databases… Mosaic groups: • Postcode level data: Symbols of success - career 17 households professionals • Refreshed yearly Happy families - younger families Ties of community - close-knit inner • 54% of data from city Census, 46% from Urban intelligence - educate, young, single, transient lifestyle data, Welfare borderline financial records, Municipal dependency survey data Blue collar enterprise • Data linkage: health, Twilight subsistence lifestyle, attitudes, Grey perspectives crime, etc Rural isolation Page 48 - © IPCRG 2007 2008
  • 48. GARD: 3 segments in low income countries • In urban areas with high income + settled, sedentary lifestyle o High income, can afford diagnostics and treatments o Government workers - reimbursed o Industrial, agricultural, service sector workers - reimbursed • In urban areas with limited resources or jobless OR in low income suburban or periurban areas • Poor people in rural areas Page 49 - © IPCRG 2007 2008 Global Alliance Against Respiratory Disease a comprehensive approach
  • 49. Understand environment, beliefs “ in your country disclosure is empowering…in mine, I have to think who to tell, even my family” Page 50 - © IPCRG 2007 2008
  • 50. Effective strategies: informing,educating and involving patients • Improve health literacy: o Printed leaflets and health information packages o Computer based and internet health information o Targeted approaches to tackle low health literacy o Targeted mass media campaigns • Improve clinical decision making o Patient decision aids o Training in communication skills for HCPs o Coaching and question prompts for patients Page 51 - © IPCRG 2007 2008 Effectiveness of strategies for informing, educating and involving patients. Coulter A. Ellins J. BMJ
  • 51. Effective strategies: informing,educating and involving patients • Improve self care o Self management education o Self monitoring and self adminstered treatment o Self help groups and peer support o Patient access to personal medical information o Patient centred telecare • Improve patient safety o Information to help choose safe providers o Patient involvement in infection control o Encouraging adherence to treatment regimes o Check records and care processes o Patient reporting of adverse drug events Page 52 - © IPCRG 2007 2008 Effectiveness of strategies for informing, educating and involving patients. Coulter A. Ellins J. BMJ 2007:335;24-27
  • 52. The competition for public attention: Page 53 - © IPCRG 2007 2008
  • 53. Dept Health: passive smoking Social marketing to prevent illness UK Dept Health, different brands, different messages, same goal CHF charities: “Artery” campaign Cancer charities: “light” still has same Page 54 - © IPCRG 2007 2008 nicotine
  • 54. Health coaching o IHI testing teamlets o Health Dialog selling “health coaching” to create co- producers in healthcare Page 55 - © IPCRG 2007 2008 Ann Fam Med. 2007 Sep-Oct;5(5):457-61 Bodenheimer T, Laing BY
  • 55. Education: cardiothoracic surgery UK Page 56 - © IPCRG 2007 2008 http://heartsurgery.healthcarecommission.org.uk/Survival.aspx
  • 56. Public expectation is more informed: CABG surgery UK: one hospital compared to others Page 57 - © IPCRG 2007 2008 http://heartsurgery.healthcarecommission.org.uk/Survival.aspx
  • 57. Public expectation is more informed: CABG surgery UK: one doctor compared to others Page 58 - © IPCRG 2007 2008 http://heartsurgery.healthcarecommission.org.uk/Survival.aspx
  • 58. Ideal process is for shared decision- making where each offers value: CLINICIAN PATIENT • diagnosis • experience of illness • disease aetiology • social circumstances • prognosis • attitude to risk • treatment options • values • outcome probabilities • preferences Page 59 - © IPCRG 2007 2008 Angela Coulter, Picker Institute
  • 59. “Knowing is not enough. We must apply.” Johann Wolfgang von Goethe • We are not using all the science we know • Individuals integrate the evidence into their own practice in a piecemeal way rather than systematically to avoid infringing clinical autonomy So: • Practise the science of medicine, consistently • Practise the art of medicine, together, altruistically Page 60 - © IPCRG 2007 2008
  • 60. Reliability science [René Amalberti IHI] No limit on discretion Increasing safety margins Excessive autonomy of actors Becoming team player Agreeing to become Craftmanship attitude « equivalent actors » Accepting the residual Ego-centered safety protections, vertical conflicts risk Accepting that Loss of visibility of risk, freezing actions changes can be destructive Blood transfusion Fatal Iatrogenic No system beyond adverse events Anesthesiology ASA1 this point Cardiac Surgery Medical risk (total) Patient ASA 3-5 Himalaya Chartered Flight mountaineering Civil Aviation Microlight or Road Safety Railways (France) helicopters spreading activity Chemical Industry (total) Nuclear Industry 10-2 10-3 10-4 10-5 10-6 Fatal Very unsafe Ultra safe Risk
  • 61. Page 62 - © IPCRG 2007 2008
  • 62. NICE: how to change practice Page 63 - © IPCRG 2007 2008 National Institute of Clinical Effectiveness. How to change practice. Dec 200 www.nice.org.uk
  • 63. Disseminating innovations in health care: 7 principles for managers • Find sound innovations with these perceived attributes: • Find and support innovators • Invest in early adopters: they are the opinion leaders • Make early adopter activity observable • Trust and enable reinvention • Create slack for change • Lead by example Page 64 - © IPCRG 2007 2008 Berwick D. Disseminating innovations in Health Care. JAMA 2003; 28:1969-1975
  • 64. What does it mean for the IPCRG? • Collaborate on real life research • Support research and analytical techniques • Disseminate knowledge to clinicians • Disseminate knowledge to the public • Create tools that can support concordance o Elicit beliefs, identity of clinician and patient o Support shared decision-making - decision aids • Learn from each other Page 65 - © IPCRG 2007 2008
  • 65. Four areas of activity Endorsement Education Research + Publications Promotion Page 66 - © IPCRG 2007 2008
  • 66. Primary Care Respiratory Journal Medline listed Primary care authors Primary care editorial board Primary care audience Page 67 - © IPCRG 2007 2008
  • 67. So what does this mean? • Collect data to look for variation • Analyse: warranted or unwarranted • If unwarranted: common or special cause? Misuse, underuse or overuse? • Plan the intervention: seek beliefs, concerns, identity. Consider segmentation. Apply the evidence consistently. • Aim to make shared decisions: be aware of personal identity and beliefs too • IPCRG will collaborate to provide: research, publications, endorsement, education + promotion Page 68 - © IPCRG 2007 2008