Evaluating the generalizability of commercial healthcare claims data.

ABSTRACT: Commercial healthcare claims datasets area nonrandom sample of the US population, affecting generalizability. Rigorous comparisons of claims-derived results to ground-truth data that quantify external validity bias are lacking. Our goal is to (1) quantify external validity of commercial healthcare claims data and (2) to evaluate how socioeconomic/demographic factors are related to the bias. We analyzed inpatient discharge records occurring between January 1, 2019 and December 31, 2019 in five states: California, Iowa, Maryland, Massachusetts, and New Jersey, and compared rates (per person-year) of the 250 most common inpatient procedures between claims and reference data for each target population. We used Merative MarketScan Commercial Database for the claims data and State Inpatient Data

SUBMITTER: Dahlen A 

PROVIDER: S-EPMC12527232 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature