Related Experiment Video
Updated: Aug 13, 2026

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
Overcoming bias in estimating the volume-outcome relationship
Alexander C Tsai1, Mark Votruba, John F P Bridges
1Department of Epidemiology and Biostatistics, Case Western Reserve University School of Medicine WG-57, Cleveland, OH 44106-4945, USA.
Hospital volume does not significantly impact 30-day mortality for congestive heart failure (CHF) patients. Incorporating clinical data and advanced methods reveals that concentrating care in high-volume hospitals may not improve outcomes for elderly CHF patients.
Area of Science:
- Health Services Research
- Cardiology
- Health Economics
Background:
- Hospital volume is often presumed to correlate with patient outcomes.
- Previous studies on congestive heart failure (CHF) outcomes have primarily used administrative data.
- The impact of hospital volume on CHF patient mortality requires further investigation using comprehensive data.
Purpose of the Study:
- To evaluate the association between hospital volume and 30-day mortality in congestive heart failure (CHF) patients.
- To compare findings using conventional regression and instrumental variables (IV) estimation.
- To determine if clinical data significantly alter the perceived volume-outcome relationship.
Main Methods:
- Analysis of longitudinal data for 21,555 Medicare patients aged 65+ hospitalized for CHF (1991-1997).
- Utilized both administrative and clinical data for risk adjustment in linear probability models.
- Employed instrumental variables (IV) estimation using linear distances to address endogeneity of hospital volume.
Main Results:
- Initial analysis with administrative data showed a significant, but small, volume-outcome effect (p=.029).
- Adding clinical data attenuated the effect's magnitude and statistical significance (p=.39).
- Instrumental variables (IV) analysis indicated potential contamination from selective referral, but estimates remained consistent.
Conclusions:
- Relying solely on administrative data for volume-outcomes research may yield misleading results.
- Conventional estimates of the hospital volume-outcome relationship can be biased by patient selection.
- Current evidence does not support concentrating CHF care in high-volume hospitals to reduce elderly patient mortality.
Related Concept Videos
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Bias in Epidemiological Studies
Bias
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
Strategies for Assessing and Addressing Confounding
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
Regression Toward the Mean
Confounding in Epidemiological Studies