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. Author manuscript; available in PMC: 2022 Jun 27.
Published in final edited form as: Hepatology. 2021 Nov 27;75(4):1026–1037. doi: 10.1002/hep.32143

TABLE 1.

Large databases that can be leveraged for the study of ALD

Description Strengths Weaknesses
Organ Procurement and Transplantation Network US national transplant registry Longitudinal; includes wait-list and transplant outcomes; low cost Lacks data on several comorbidities
National Health and Nutrition Examination Survey Survey of US residents Accurate; includes alcohol use, laboratory, and imaging data (e.g., FIB-4, steatosis) Selection bias; cross-sectional design
Medicare Health care claims for inpatient, outpatient, and pharmacy services Beneficiary-level and provider-level data; comprehensive Expensive; no laboratory data; predominantly older adults age ≥ 65
Optum Clinformatics DataMart Commercial claims for inpatient, outpatient, and pharmacy services Longitudinal; clinical use and expenditures; some laboratory data Expensive; only privately insured; cannot cross over geographic, socioeconomic, and mortality files
Truven Marketscan Claims from commercial and employer health plans, Medicare, and Medicaid Longitudinal; person-specific clinical use and expenditures Expensive; claims cannot be aggregated at provider level
Veterans Health Administration Health system Longitudinal and granular data; annual AUDIT-C Not representative of US population; can be resource-intensive to access data
Nationwide Inpatient Sample All-payer inpatient claims database; survey of participating hospitals Low cost; easily accessible Unable to track patients longitudinally; no laboratory data; no data from veterans

Abbreviations: AUDIT-C, Alcohol Use Disorders Identification Test–Concise; and FIB-4, Fibrosis-4 Index.