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Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
Improving participant selection in disease management programmes: insights gained from propensity score
1Oregon Health & Science University, School of Medicine, Portland, OR, USA. alinden@lindenconsulting.org
Journal of Evaluation in Clinical Practice
|November 21, 2008
Summary
Propensity score matching in disease management (DM) studies often excludes non-participants, missing crucial data. Analyzing hospitalization rates across all strata reveals potential benefits for broader patient groups, not just those targeted.
Area of Science:
- Health Services Research
- Epidemiology
- Biostatistics
Background:
- Randomized controlled trials (RCTs) are gold-standard for treatment effect evaluation.
- Quasi-experimental designs, like propensity score matching, are vital for observational studies.
- Propensity score matching is widely used to assess disease management (DM) program effectiveness.
Purpose of the Study:
- To evaluate the effectiveness of a disease management program using propensity score matching.
- To investigate the impact of excluding unmatched individuals from analyses.
- To examine hospitalization rate changes across the entire population stratified by propensity score quintiles.
Main Methods:
- Utilized propensity score matching on observational data to evaluate DM program effectiveness.
- Analyzed hospitalization rates stratified by propensity score quintiles across the entire study population.
- Compared outcomes between matched participants and the broader, including unmatched, population.
Main Results:
- Propensity score matching typically excludes most non-participants, limiting analysis.
- Exclusion of unmatched data fails to capture the effect of non-treatment in the remaining population.
- Analysis across all strata indicated regression to the mean and potential benefits in lower propensity score groups.
Conclusions:
- Standard propensity score matching may provide a limited view of DM program effectiveness by excluding large population segments.
- The study suggests DM programs might be overly restrictive, potentially missing opportunities to benefit individuals not initially targeted.
- A broader analysis, including all strata, is recommended to fully understand program impact and identify wider patient benefits.
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