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MEASUREMENT OF OUTCOMES INMEASUREMENT OF OUTCOMES IN
PharmacoepidemiologyPharmacoepidemiology
Prepared By-
Dr. Ankit Gaur
M.Sc, Pharm.D, RPh
The outcome measures include the
studies on:
Functional status (level of functioning, Supervision
required, ability to work)
Symptom status (days free of pain / an event)
Patient satisfaction with various aspects of care
(delivery of care, effects on daily activities or life
satisfaction) and
QOL studies
The measurement of outcomes in PEY
can be done by two approaches :
Outcome measures
Drug use measures
OUTCOME MEASURESOUTCOME MEASURES
The occurrence of
pharmacoepidemiological outcomes is
commonly expressed by measurements
such as,
 Prevalence
 Cummulative incidence and
 Incidence rate
Morbidity & mortalityMorbidity & mortality are the most
DEFINITON:-
The crude death rate is  the  number 
of deaths occurring among the population of a given 
geographical area during a given year, per 1,000 mid-
year  total  population  of  the  given  geographical  area 
during the same year.
Gender specific
Definition-
Number  of  deaths  within  a  population  due  to  a 
specific disease or cause divided by the total number 
of deaths in the population during a time period such 
as a year.
Definition-
Acc to WHO, case fatality rate (CFR) is a measure of the severity of a disease
and is defined as the proportion of cases of a specified disease or condition
which are fatal within a specified time.
In other words, it is the proportion of people who die from a specified disease
among all individuals diagnosed with the disease over a certain period of time.
Definition -
The survival rate is often stated as a five-year survival rate, which is the
percentage of people in a study or treatment group who are alive five years
after their diagnosis or the start of treatment.
Morbidity is measured as the number of cases
of disease or events that occur per unit of
population (per 100), unit of time (per year)
or both (events/100/year)
Other measures of morbidity are,
the number of hospitalisations resulting from
drug use or prevented by drug use or days
of hospitalisation (or days avoided) and
deaths due to or prevented by the use of
drugs
It is the measure of disease that allows us to determine a
person's probability of being diagnosed with a disease during a
given period of time. Therefore, incidence is the number of
newly diagnosed cases of a disease occurring during a give
period of time.
It is better expressed as proportion or rate.
Cumulative incidence (incidence proportion):
It is the number of new cases with in a specified
time period divided by the size of the population
initially at risk.
Ex. if a population initially contains 1,000 non-
diseased persons and 28 develop a condition
over two years of observation, the incidence
proportion is 28 cases per 1,000 persons, i.e.
2.8%.
 Incidence rate:
It is the number of new cases per unit of person-
time at risk.
It describes the probability of a new case occuring
during a given time interval.
No. of new cases of disease during a period
of time
IR = -------------------------------------------------------
the person-time-at-risk
What is person-time?What is person-time?
 It is an estimate of the actual time-at-risk in years,
months or days that all persons contributed to study
 A measurement combining the number of persons and
their time contribution in a study. This measure is
most often used as denominator in incidence rates. It is
the sum of individual units of time that the persons in
the study population have been exposed or at risk to
the conditions of interest.
 A subject is eligible to contribute person-time to the
study only so long as that person remains disease-free
and therefore, still at risk of developing the disease of
interest
 The denominator for IR (person-time) is a more
exact expression of the population at risk during the
period of time when the change from non-disease to
disease is being measured.
 Person-time changes as persons who are originally at
risk develop disease during the observation period
and are removed from the denominator
Calculating person-time:
 An investigator is conducting a study of the incidence
of second MI. He follows 5 subjects from baseline
(after first MI) for up to 10 weeks
 As we know, person-time is the sum of total time
contributed by all subjects (days each subject
remained as non-case from baseline or during which
they remain disease-free)
Subject A: 53 days
Subject B: 70 days
Subject C: 24 days
Subject D: 70 days
Subject E: 19 days
Total person-days = 236 person-days
Now, 236 p-d becomes denominator in measuring IR
The total no. Of subjects becoming cases (A,C,E) is
the numerator
Therefore,
The IR of sec. MI is 3/ 236 p-d = 0.0127 cases per
person-day
(1.27 cases/ 100 person-days or 12.7 cases/1000
person-days)
PrevalencePrevalence
• It is concerned with the disease status
• It is the proportion of people affected with a disease
or exposed to a particular drug in a population at a
given time
• It is usually determined by surveying the population
of interest
• Prevalence varies between 0-1, it can also be
expressed as a percentage
PREVALENCE =
No. of old and new cases of disease in a
particular time point/period
---------------------------------------------------------------
Total population at risk during same time period
Point prevalence:-Point prevalence:- number of cases that exist at a
given point of time.
Period prevalence:-Period prevalence:- number of cases that exist in a
population during a specified time period.
DRUG USE MEASURESDRUG USE MEASURES
Monetary units
Numbers of prescription
Units of drug dispensed
Defined daily doses
Prescribed daily doses
Medication adherence measurement
Monetary unitsMonetary units
 Drug use has been measured in monetary units to
quantify the amounts being consumed by population
 It can indicate the burden on a society from drug use
 Monetary units are convenient & can be converted
to a common unit, which then allows for comparison
 The disadvantage is quantities of drugs actually
consumed are not known & prices may vary widely
Number of prescriptionsNumber of prescriptions
 It has been used in research due to the
availability & ease
 The disadv is, quantities dispensed vary greatly
as duration of treatment
 Ex: Treatment with antibiotics, provide a fairly
good estimate of the no. Of people exposed &
of the no. Of treatment episodes
Units of drug dispensedUnits of drug dispensed
 Units of drug dispensed like tablets, vials is easy
to obtain & can be used to compare usage
trends within population
 The disadv is that no information is available on
the quantities actually taken by the patient
 Hence difficult to determine the actual no. Of
patients exposed to the drug
Defined daily dosesDefined daily doses
 It is the estimated avg. Maintenance dose per day of
a drug when used in its major indication
 It is normally expressed as DDD/1000 ptns/day
Or
DDD/100 bed-days
 It is helpful in describing & comparing patterns of
DU & provides denominator data for estimation of
ADR rates
 Adv is its usefulness for working with readily available
drug statistics
 It allows comparisons b/n drugs in the same therapeutic
class
 Disadv is problems arises when doses vary widely like
with antibiotics or if the drug has more than 1 major
indication
 Ex: ASA low dose- avoid cardiac events
 moderate dose-pain management
 high dose- for inflammatory conditions
Prescribed daily dosesPrescribed daily doses
 It is the avg daily dose of a drug that has actually
been prescribed
 Calculated from representative sample of
prescriptions
 Disadv is that it does not indicate no. Of population
exposed to drug
 However, it provides estimate of no of person-days
of exposure
Medication adherence measurementsMedication adherence measurements
 Biological Assays
 Biological assays measure the concentration of
a drug, its metabolites, or tracer compounds
in the blood or urine of a patient. 
 These measures are intrusive and often
costly to administer. 
 Patients who know that they will be tested
may consciously take medication that they had
been skipping so the tests will not detect
individuals who have been non-adherent. 
Drug or food interactions, physiological differences,
dosing schedules, and the half-life of the drugs may
influence the results
 Biological tracers that have known half lives and do
not interfere with the medication may be used, but
there are ethical concerns
 All of these methods have high costs for the assays
that limit the feasibility of these techniques
 Pill Counts
 Counting the number of pills remaining in a patient's
supply and calculating the number of pills that the
patient has taken since filling the prescription is the
easiest method for calculating patient medication
adherence
 Some data indicate that this technique may
underestimate adherence in older populations
   Patterns of non-adherence are often difficult to
discern with a simple count of pills on a certain date
weeks to months after the prescription was filled
Weight of Topical Medications
The weight of a topical medication remaining in a tube
is used as a measure of adherence. 
When compared with patient log books of daily
medication use, weight estimates of adherence were
considerably lower than patient log estimates. 
In the clinical trials involving topical applications
incorporate medication weights as the primary
measure of adherence. 
In a comparison of methods to measure adherence,
found that estimates calculated from medication logs
and medication weights were consistently higher than
those of electronic monitors
Electronic Monitoring
The Medication Event Monitoring System (MEMS)
manufactured by Aardex corporation allows the
assessment of the number of pills missed during a
period as well as adherence to a dosing schedule
 The system electronically monitors when the pill
bottle is opened, and the researcher can periodically
download the information to a computer
The availability and cost of this system could limit
the feasibility of its use 
Pharmacy Records and Prescription Claims
This method can be used primarily for medications
that are taken for chronic illnesses (such as
hypertension)
 
These records provide only an indirect measure of
drugs consumed
 
Patterns of over and under consumption for periods
less than that between refills cannot be assessed
Patient Interviews
Studies have consistently shown that third-party
assessments of medication adherence by healthcare
providers tend to overestimate patients' adherence
 Interviewing patients to assess their knowledge of the
medications they have been prescribed and the
dosing schedule provide little information as to
whether the patient is adherent with the actual
dosing schedule. 
Subjective assessments by interviewers can bias
adherence estimates. 
This method is rarely used in medical research to
assess adherence
Patient Estimates of Adherence
Direct questioning of patients to assess adherence can
be an effective method
 
However, patients who claim adherence may be
underreporting their non-adherence to avoid
caregiver disapproval
  Other methods may need to be employed to detect
these patients
 Scaled Questionnaires
Morisky et al. (1986) developed a 4-item scaled
questionnaire to assess adherence with antihypertensive
treatment.
Li et al. (2005) developed four instruments to measure
antihypertensive medication adherence in a population
of Chinese immigrants in the US
The Hill-Bone Compliance to High Blood Pressure
Therapy Scale includes 14 items, 8 of which are directed
at assessing medication taking behavior in hypertensive
patients
 
 
Not only is this method relatively simple and
economically feasible to use, but it has the added
advantage of gathering information regarding
situational factors that interfere with medication
adherence (e.g. forgetfulness, remembering to bring
medications along when out of town)
The Compliance-Questionnaire-Rheumatology (CQR)
is a 19-item questionnaire that has been favorably
compared with electronic medication event
monitoring (de Klerk et al. 2003).  This instrument
has good validity and reliability.
Measurement of outcomes in epidemiology

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Measurement of outcomes in epidemiology

  • 1. MEASUREMENT OF OUTCOMES INMEASUREMENT OF OUTCOMES IN PharmacoepidemiologyPharmacoepidemiology Prepared By- Dr. Ankit Gaur M.Sc, Pharm.D, RPh
  • 2. The outcome measures include the studies on: Functional status (level of functioning, Supervision required, ability to work) Symptom status (days free of pain / an event) Patient satisfaction with various aspects of care (delivery of care, effects on daily activities or life satisfaction) and QOL studies
  • 3. The measurement of outcomes in PEY can be done by two approaches : Outcome measures Drug use measures
  • 4. OUTCOME MEASURESOUTCOME MEASURES The occurrence of pharmacoepidemiological outcomes is commonly expressed by measurements such as,  Prevalence  Cummulative incidence and  Incidence rate Morbidity & mortalityMorbidity & mortality are the most
  • 5.
  • 6. DEFINITON:- The crude death rate is  the  number  of deaths occurring among the population of a given  geographical area during a given year, per 1,000 mid- year  total  population  of  the  given  geographical  area  during the same year.
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  • 15. Definition- Number  of  deaths  within  a  population  due  to  a  specific disease or cause divided by the total number  of deaths in the population during a time period such  as a year.
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  • 22. Definition- Acc to WHO, case fatality rate (CFR) is a measure of the severity of a disease and is defined as the proportion of cases of a specified disease or condition which are fatal within a specified time. In other words, it is the proportion of people who die from a specified disease among all individuals diagnosed with the disease over a certain period of time.
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  • 26. Definition - The survival rate is often stated as a five-year survival rate, which is the percentage of people in a study or treatment group who are alive five years after their diagnosis or the start of treatment.
  • 27. Morbidity is measured as the number of cases of disease or events that occur per unit of population (per 100), unit of time (per year) or both (events/100/year) Other measures of morbidity are, the number of hospitalisations resulting from drug use or prevented by drug use or days of hospitalisation (or days avoided) and deaths due to or prevented by the use of drugs
  • 28.
  • 29. It is the measure of disease that allows us to determine a person's probability of being diagnosed with a disease during a given period of time. Therefore, incidence is the number of newly diagnosed cases of a disease occurring during a give period of time. It is better expressed as proportion or rate.
  • 30.
  • 31. Cumulative incidence (incidence proportion): It is the number of new cases with in a specified time period divided by the size of the population initially at risk. Ex. if a population initially contains 1,000 non- diseased persons and 28 develop a condition over two years of observation, the incidence proportion is 28 cases per 1,000 persons, i.e. 2.8%.
  • 32.  Incidence rate: It is the number of new cases per unit of person- time at risk. It describes the probability of a new case occuring during a given time interval. No. of new cases of disease during a period of time IR = ------------------------------------------------------- the person-time-at-risk
  • 33. What is person-time?What is person-time?  It is an estimate of the actual time-at-risk in years, months or days that all persons contributed to study  A measurement combining the number of persons and their time contribution in a study. This measure is most often used as denominator in incidence rates. It is the sum of individual units of time that the persons in the study population have been exposed or at risk to the conditions of interest.  A subject is eligible to contribute person-time to the study only so long as that person remains disease-free and therefore, still at risk of developing the disease of interest
  • 34.  The denominator for IR (person-time) is a more exact expression of the population at risk during the period of time when the change from non-disease to disease is being measured.  Person-time changes as persons who are originally at risk develop disease during the observation period and are removed from the denominator
  • 35. Calculating person-time:  An investigator is conducting a study of the incidence of second MI. He follows 5 subjects from baseline (after first MI) for up to 10 weeks
  • 36.  As we know, person-time is the sum of total time contributed by all subjects (days each subject remained as non-case from baseline or during which they remain disease-free) Subject A: 53 days Subject B: 70 days Subject C: 24 days Subject D: 70 days Subject E: 19 days Total person-days = 236 person-days
  • 37. Now, 236 p-d becomes denominator in measuring IR The total no. Of subjects becoming cases (A,C,E) is the numerator Therefore, The IR of sec. MI is 3/ 236 p-d = 0.0127 cases per person-day (1.27 cases/ 100 person-days or 12.7 cases/1000 person-days)
  • 38. PrevalencePrevalence • It is concerned with the disease status • It is the proportion of people affected with a disease or exposed to a particular drug in a population at a given time • It is usually determined by surveying the population of interest • Prevalence varies between 0-1, it can also be expressed as a percentage
  • 39. PREVALENCE = No. of old and new cases of disease in a particular time point/period --------------------------------------------------------------- Total population at risk during same time period
  • 40. Point prevalence:-Point prevalence:- number of cases that exist at a given point of time. Period prevalence:-Period prevalence:- number of cases that exist in a population during a specified time period.
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  • 45. DRUG USE MEASURESDRUG USE MEASURES Monetary units Numbers of prescription Units of drug dispensed Defined daily doses Prescribed daily doses Medication adherence measurement
  • 46. Monetary unitsMonetary units  Drug use has been measured in monetary units to quantify the amounts being consumed by population  It can indicate the burden on a society from drug use  Monetary units are convenient & can be converted to a common unit, which then allows for comparison  The disadvantage is quantities of drugs actually consumed are not known & prices may vary widely
  • 47. Number of prescriptionsNumber of prescriptions  It has been used in research due to the availability & ease  The disadv is, quantities dispensed vary greatly as duration of treatment  Ex: Treatment with antibiotics, provide a fairly good estimate of the no. Of people exposed & of the no. Of treatment episodes
  • 48. Units of drug dispensedUnits of drug dispensed  Units of drug dispensed like tablets, vials is easy to obtain & can be used to compare usage trends within population  The disadv is that no information is available on the quantities actually taken by the patient  Hence difficult to determine the actual no. Of patients exposed to the drug
  • 49. Defined daily dosesDefined daily doses  It is the estimated avg. Maintenance dose per day of a drug when used in its major indication  It is normally expressed as DDD/1000 ptns/day Or DDD/100 bed-days  It is helpful in describing & comparing patterns of DU & provides denominator data for estimation of ADR rates
  • 50.  Adv is its usefulness for working with readily available drug statistics  It allows comparisons b/n drugs in the same therapeutic class  Disadv is problems arises when doses vary widely like with antibiotics or if the drug has more than 1 major indication  Ex: ASA low dose- avoid cardiac events  moderate dose-pain management  high dose- for inflammatory conditions
  • 51. Prescribed daily dosesPrescribed daily doses  It is the avg daily dose of a drug that has actually been prescribed  Calculated from representative sample of prescriptions  Disadv is that it does not indicate no. Of population exposed to drug  However, it provides estimate of no of person-days of exposure
  • 52. Medication adherence measurementsMedication adherence measurements  Biological Assays  Biological assays measure the concentration of a drug, its metabolites, or tracer compounds in the blood or urine of a patient.   These measures are intrusive and often costly to administer.   Patients who know that they will be tested may consciously take medication that they had been skipping so the tests will not detect individuals who have been non-adherent. 
  • 53. Drug or food interactions, physiological differences, dosing schedules, and the half-life of the drugs may influence the results  Biological tracers that have known half lives and do not interfere with the medication may be used, but there are ethical concerns  All of these methods have high costs for the assays that limit the feasibility of these techniques
  • 54.  Pill Counts  Counting the number of pills remaining in a patient's supply and calculating the number of pills that the patient has taken since filling the prescription is the easiest method for calculating patient medication adherence  Some data indicate that this technique may underestimate adherence in older populations    Patterns of non-adherence are often difficult to discern with a simple count of pills on a certain date weeks to months after the prescription was filled
  • 55. Weight of Topical Medications The weight of a topical medication remaining in a tube is used as a measure of adherence.  When compared with patient log books of daily medication use, weight estimates of adherence were considerably lower than patient log estimates.  In the clinical trials involving topical applications incorporate medication weights as the primary measure of adherence.  In a comparison of methods to measure adherence, found that estimates calculated from medication logs and medication weights were consistently higher than those of electronic monitors
  • 56. Electronic Monitoring The Medication Event Monitoring System (MEMS) manufactured by Aardex corporation allows the assessment of the number of pills missed during a period as well as adherence to a dosing schedule  The system electronically monitors when the pill bottle is opened, and the researcher can periodically download the information to a computer The availability and cost of this system could limit the feasibility of its use 
  • 57. Pharmacy Records and Prescription Claims This method can be used primarily for medications that are taken for chronic illnesses (such as hypertension)   These records provide only an indirect measure of drugs consumed   Patterns of over and under consumption for periods less than that between refills cannot be assessed
  • 58. Patient Interviews Studies have consistently shown that third-party assessments of medication adherence by healthcare providers tend to overestimate patients' adherence  Interviewing patients to assess their knowledge of the medications they have been prescribed and the dosing schedule provide little information as to whether the patient is adherent with the actual dosing schedule.  Subjective assessments by interviewers can bias adherence estimates.  This method is rarely used in medical research to assess adherence
  • 59. Patient Estimates of Adherence Direct questioning of patients to assess adherence can be an effective method   However, patients who claim adherence may be underreporting their non-adherence to avoid caregiver disapproval   Other methods may need to be employed to detect these patients
  • 60.  Scaled Questionnaires Morisky et al. (1986) developed a 4-item scaled questionnaire to assess adherence with antihypertensive treatment. Li et al. (2005) developed four instruments to measure antihypertensive medication adherence in a population of Chinese immigrants in the US The Hill-Bone Compliance to High Blood Pressure Therapy Scale includes 14 items, 8 of which are directed at assessing medication taking behavior in hypertensive patients    
  • 61. Not only is this method relatively simple and economically feasible to use, but it has the added advantage of gathering information regarding situational factors that interfere with medication adherence (e.g. forgetfulness, remembering to bring medications along when out of town) The Compliance-Questionnaire-Rheumatology (CQR) is a 19-item questionnaire that has been favorably compared with electronic medication event monitoring (de Klerk et al. 2003).  This instrument has good validity and reliability.