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Using qualitative and quantitative
data: how to structure your research
Daniel Ratchford
Quality Health – Chief Executive
daniel.ratchford@quality-health.co.uk or @danielratchford
Quality Health
A specialist health and social care research organisation, working for public, private and
not-for profit sectors, in the UK and overseas
 We design innovative data collection mechanisms to gather insight from patients, service
users, staff and other stakeholders
 We use our unique expertise and experience to collect, process, analyse and present
information in the most meaningful ways
 We work collaboratively with our clients to support service improvements, inform change,
influence policy, and improve outcomes
25/10/2019 2
We help our clients achieve high quality and positive outcomes
in health, social care and other services
Key steps in generating data for Patient Advocacy
Work out what the problem is
 E.g. Do you have policy ideas you need to back up with evidence?
 E.g. Do you want to test a theory about patient experience?
Consider the bigger picture
 What is already known?
 Is there other relevant research?
 Are other Patient Advocacy organisations planning anything similar?
Have a clear analysis strategy
 Make sure you know from the start how you will analyse the data
 What exactly do you want to show, and to whom?
 Will qualitative findings (e.g. stories) be more powerful than quantitative (e.g. numbers)?
25/10/2019 3
Be clear from the start how you want to use the data
Good data can help your organisation to…
Predict an outcome
 E.g. If patients’ care is changed, how will this affect their overall wellbeing?
Explain a cause or consequence
 E.g. What has caused patients to report a drop in the standards of care?
Evaluate policy
 E.g. what has been the impact on patients of a change in policy or a new procedure?
Describe service provision
 E.g. What does high quality care look like from a patient perspective?
Develop good practice
 E.g. What do patients say would improve their care?
Empower patients
 E.g. What are the best ways to enhance patients’ lives, and the lives of patients in the future?
25/10/2019 4
Work out what your problem is: don’t just run a survey
for the sake of it!
Some good examples of focused patient advocacy
research
European Cancer Patient Coalition
Cancer Associated Thrombosis Awareness Survey
Aims:
 To understand – and compare across countries – patients’ awareness of
CAT
 To map where, and when, patients get their information
 To identify gaps of information and support during the patient pathway
25/10/2019 5
Some good examples of focused patient advocacy
research
Acute Leukemia Advocates Network
ALAN Quality of Life Survey
Aims:
 To understand the quality of life of acute leukaemia patients at different
points in the patient journey
25/10/2019 6
Some good examples of focused patient advocacy
research
All.Can International
Survey of Waste and Inefficiency in Cancer Care
Aims:
 To gather the views of cancer patients and carers into areas of waste and
inefficiency in cancer care
 To gather examples of good practice, and areas for improvement
25/10/2019 7
Some good examples of focused patient advocacy
research
CML Advocates Network
CML Treatment Free Remission Survey
Aims:
 To understand the experiences of CML patients considering and
undertaking Treatment Free Remission
 To compare different patient groups
 To consider the impact of different interventions and communications in
this process
25/10/2019 8
Main types of research to generate data
Literature review and desk research
 Reviewing the main ideas and research relating to your area of interest
 Accessing existing relevant data sets
Quantitative research
 Questionnaires delivered on paper, on-line, in person or by phone
 Structured interviewing
Qualitative research
 In-depth interviews, in person or by phone
 Focus groups
 Workshops
25/10/2019 9
Many of the most successful research programmes
use a combination of the above
Main types of research to generate data – pros and cons
PROs
Literature review and desk research
 Well-respected academic approach
 Relatively cheap
 Doesn’t require external support
Quantitative research
 Best known and accepted research approach
 Gathers views from many patients
 Statistically significant results
Qualitative research
 Produces narrative rather than numbers
 Stories, quotes, and films can have more
impact in advocacy campaigns
25/10/2019 10
CONs
Literature review and desk research
 No new primary data
 Access to academic papers expensive
 Requires research skills
Quantitative research
 Can be expensive
 Sampling bias often an issue
 No depth behind the numbers
Qualitative research
 Expensive
 Usually only involves small numbers
 Difficult to argue it’s representative
Typical research outputs
 Data tables (from qualitative surveys)
 Written commentaries of findings
 Breakdowns
 Powerpoint presentations
 Infographics
 Thematic analyses of qualitative research
 Quotes from interviews
 Films of patient stories
 Improvement events
 Formal papers for scientific journals
 Press releases and advocacy campaigns
25/10/2019 11
You should be clear at the start about what you need,
and how it will be used
25/10/2019 12
Data
Tables
25/10/2019 13
Written commentaries of findings
25/10/2019 14
Main worries after the end of treatment *
- by Gender
*Respondents could select all answer options that applied (tick all that apply)
Q7 / base = all respondents - What are the main worries you had after your treatment ended?
Males (n=450) Females (n=560)
Presentations: a breakdown
Infographics
25/10/2019 15
25/10/2019 16
Thematic
analysis
25/10/2019 17
Journal articles
25/10/2019 18https://vimeo.com/292669223/4f1e532e76
Interviews
25/10/2019 19https://www.youtube.com/watch?v=1pRtBtpPLTw
Films of patient stories
Some common problems…and how to avoid them
Not involving patients
 Coproduction of research design
 Patients and patient advocates on Steering Groups
 Patients involved in reviewing and testing survey materials
Not focusing on a specific issue - being too ambitious in scope
 Identify the theme/issue you’re interested in
 Keep it short
 Don’t just run a survey for the sake of it!
Not knowing what’s already been done
 Talk to the experts
 Carry out some form of literature review
25/10/2019 20
Some common problems…and how to avoid them
Not knowing what others are doing
 Network with other patient advocacy groups, in other countries - It’s likely
someone else is interested in the same issue
Lack of testing and piloting before fieldwork
 Don’t rush into implementation
 Test survey materials thoroughly
 Formal Cognitive Testing always identifies issues
Asking the wrong people
 Think about the sample of patients you want to hear from
 Design your research framework to generate a representative sample
 Don’t just listen to the same old voices
25/10/2019 21
Some common problems…and how to avoid them
Choosing the wrong delivery mechanism
 Using an external agency can be expensive and add complexity
 But carrying our research in-house risks lack of independence; and most
organisations don’t have the skills and capacity
 There will be times where both of these are right: consider carefully for each
piece of research
Not knowing how you’ll use the results
 Be clear at the start about what you need, and how it will be used
25/10/2019 22
Talk as much as possible to other Patient Advocacy
Groups about their experiences
0201b rachford   using qualitative and quantitative data how to structure your research

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0201b rachford using qualitative and quantitative data how to structure your research

  • 1. Using qualitative and quantitative data: how to structure your research Daniel Ratchford Quality Health – Chief Executive daniel.ratchford@quality-health.co.uk or @danielratchford
  • 2. Quality Health A specialist health and social care research organisation, working for public, private and not-for profit sectors, in the UK and overseas  We design innovative data collection mechanisms to gather insight from patients, service users, staff and other stakeholders  We use our unique expertise and experience to collect, process, analyse and present information in the most meaningful ways  We work collaboratively with our clients to support service improvements, inform change, influence policy, and improve outcomes 25/10/2019 2 We help our clients achieve high quality and positive outcomes in health, social care and other services
  • 3. Key steps in generating data for Patient Advocacy Work out what the problem is  E.g. Do you have policy ideas you need to back up with evidence?  E.g. Do you want to test a theory about patient experience? Consider the bigger picture  What is already known?  Is there other relevant research?  Are other Patient Advocacy organisations planning anything similar? Have a clear analysis strategy  Make sure you know from the start how you will analyse the data  What exactly do you want to show, and to whom?  Will qualitative findings (e.g. stories) be more powerful than quantitative (e.g. numbers)? 25/10/2019 3 Be clear from the start how you want to use the data
  • 4. Good data can help your organisation to… Predict an outcome  E.g. If patients’ care is changed, how will this affect their overall wellbeing? Explain a cause or consequence  E.g. What has caused patients to report a drop in the standards of care? Evaluate policy  E.g. what has been the impact on patients of a change in policy or a new procedure? Describe service provision  E.g. What does high quality care look like from a patient perspective? Develop good practice  E.g. What do patients say would improve their care? Empower patients  E.g. What are the best ways to enhance patients’ lives, and the lives of patients in the future? 25/10/2019 4 Work out what your problem is: don’t just run a survey for the sake of it!
  • 5. Some good examples of focused patient advocacy research European Cancer Patient Coalition Cancer Associated Thrombosis Awareness Survey Aims:  To understand – and compare across countries – patients’ awareness of CAT  To map where, and when, patients get their information  To identify gaps of information and support during the patient pathway 25/10/2019 5
  • 6. Some good examples of focused patient advocacy research Acute Leukemia Advocates Network ALAN Quality of Life Survey Aims:  To understand the quality of life of acute leukaemia patients at different points in the patient journey 25/10/2019 6
  • 7. Some good examples of focused patient advocacy research All.Can International Survey of Waste and Inefficiency in Cancer Care Aims:  To gather the views of cancer patients and carers into areas of waste and inefficiency in cancer care  To gather examples of good practice, and areas for improvement 25/10/2019 7
  • 8. Some good examples of focused patient advocacy research CML Advocates Network CML Treatment Free Remission Survey Aims:  To understand the experiences of CML patients considering and undertaking Treatment Free Remission  To compare different patient groups  To consider the impact of different interventions and communications in this process 25/10/2019 8
  • 9. Main types of research to generate data Literature review and desk research  Reviewing the main ideas and research relating to your area of interest  Accessing existing relevant data sets Quantitative research  Questionnaires delivered on paper, on-line, in person or by phone  Structured interviewing Qualitative research  In-depth interviews, in person or by phone  Focus groups  Workshops 25/10/2019 9 Many of the most successful research programmes use a combination of the above
  • 10. Main types of research to generate data – pros and cons PROs Literature review and desk research  Well-respected academic approach  Relatively cheap  Doesn’t require external support Quantitative research  Best known and accepted research approach  Gathers views from many patients  Statistically significant results Qualitative research  Produces narrative rather than numbers  Stories, quotes, and films can have more impact in advocacy campaigns 25/10/2019 10 CONs Literature review and desk research  No new primary data  Access to academic papers expensive  Requires research skills Quantitative research  Can be expensive  Sampling bias often an issue  No depth behind the numbers Qualitative research  Expensive  Usually only involves small numbers  Difficult to argue it’s representative
  • 11. Typical research outputs  Data tables (from qualitative surveys)  Written commentaries of findings  Breakdowns  Powerpoint presentations  Infographics  Thematic analyses of qualitative research  Quotes from interviews  Films of patient stories  Improvement events  Formal papers for scientific journals  Press releases and advocacy campaigns 25/10/2019 11 You should be clear at the start about what you need, and how it will be used
  • 14. 25/10/2019 14 Main worries after the end of treatment * - by Gender *Respondents could select all answer options that applied (tick all that apply) Q7 / base = all respondents - What are the main worries you had after your treatment ended? Males (n=450) Females (n=560) Presentations: a breakdown
  • 20. Some common problems…and how to avoid them Not involving patients  Coproduction of research design  Patients and patient advocates on Steering Groups  Patients involved in reviewing and testing survey materials Not focusing on a specific issue - being too ambitious in scope  Identify the theme/issue you’re interested in  Keep it short  Don’t just run a survey for the sake of it! Not knowing what’s already been done  Talk to the experts  Carry out some form of literature review 25/10/2019 20
  • 21. Some common problems…and how to avoid them Not knowing what others are doing  Network with other patient advocacy groups, in other countries - It’s likely someone else is interested in the same issue Lack of testing and piloting before fieldwork  Don’t rush into implementation  Test survey materials thoroughly  Formal Cognitive Testing always identifies issues Asking the wrong people  Think about the sample of patients you want to hear from  Design your research framework to generate a representative sample  Don’t just listen to the same old voices 25/10/2019 21
  • 22. Some common problems…and how to avoid them Choosing the wrong delivery mechanism  Using an external agency can be expensive and add complexity  But carrying our research in-house risks lack of independence; and most organisations don’t have the skills and capacity  There will be times where both of these are right: consider carefully for each piece of research Not knowing how you’ll use the results  Be clear at the start about what you need, and how it will be used 25/10/2019 22 Talk as much as possible to other Patient Advocacy Groups about their experiences