Utilization of the propensity score method: an exploratory comparison of proxy-completed to self-completed responses in the Medicare Health Outcomes Survey.
BACKGROUND
This research examined the use of the propensity score method to compare proxy-completed responses to self-completed responses in the first three baseline cohorts of the Medicare Health Outcomes Survey, administered in 1998, 1999, and 2000, respectively. A proxy is someone other than the respondent who completes the survey for the respondent.


METHODS
The propensity score method of matched sampling was used to compare proxy and self-completed responses. A propensity score is a value that equals the estimated probability of a given individual belonging to a treatment group given the observed background characteristics of that individual. Proxy and self-completed responses were compared on demographics, the SF-36, chronic conditions, activities of daily living, and depression-screening questions. For each individual survey respondent, logistic regression was used to calculate the probability that this individual belonged to the proxy respondent group (propensity score). Pre and post adjustment comparisons were tested by calculating effect sizes.


RESULTS
Differences between self and proxy-completed responses were substantially reduced with the use of the propensity score method. However, differences were still found in the SF-36, several demographics, several impaired activities of daily living, several chronic conditions, and one depression-screening question.


CONCLUSIONS
The propensity score method helped to reduce differences between proxy-completed and self-completed survey responses, thereby providing an approximation to a randomized controlled experiment of proxy-completed versus self-completed survey responses.
Ellis
Beth Hartman
BH
Surveys, Research & Analysis Health Services Advisory Group, Inc, Phoenix, AZ 85020 United States of America. bellis@AZQIO.sdps.org
Bannister
Wade M
WM
Cox
Jacquilyn Kay
JK
Fowler
Brenda M
BM
Shannon
Erin Dowd
ED
Drachman
David
D
Adams
Randall W
RW
Giordano
Laura A
LA
D000203:Activities of Daily Living; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D002908:Chronic Disease; D015331:Cohort Studies; D003625:Data Collection / Q000379:methods*; D003863:Depression / Q000175:diagnosis; D005260:Female; D006304:Health Status; D006306:Health Surveys; D006801:Humans; D016015:Logistic Models; D008297:Male; D006278:Medicare; D008603:Mental Health; D008875:Middle Aged; D017063:Outcome Assessment, Health Care; D019727:Proxy; D011594:Psychometrics / Q000379:methods*; D011788:Quality of Life; D014481:United States