Measuring Exposure to Incarceration Using the Electronic Health Record.
Med Care
; 57 Suppl 6 Suppl 2: S157-S163, 2019 06.
Article
em En
| MEDLINE
| ID: mdl-31095055
ABSTRACT
BACKGROUND:
Electronic health records (EHRs) are a rich source of health information; however social determinants of health, including incarceration, and how they impact health and health care disparities can be hard to extract.OBJECTIVE:
The main objective of this study was to compare sensitivity and specificity of patient self-report with various methods of identifying incarceration exposure using the EHR. RESEARCHDESIGN:
Validation study using multiple data sources and types.SUBJECTS:
Participants of the Veterans Aging Cohort Study (VACS), a national observational cohort based on data from the Veterans Health Administration (VHA) EHR that includes all human immunodeficiency virus-infected patients in care (47,805) and uninfected patients (99,060) matched on region, age, race/ethnicity, and sex. MEASURES AND DATA SOURCES Self-reported incarceration history compared with (1) linked VHA EHR data to administrative data from a state Department of Correction (DOC), (2) linked VHA EHR data to administrative data on incarceration from Centers for Medicare and Medicaid Services (CMS), (3) VHA EHR-specific identifier codes indicative of receipt of VHA incarceration reentry services, and (4) natural language processing (NLP) in unstructured text in VHA EHR.RESULTS:
Linking the EHR to DOC data sensitivity 2.5%, specificity 100%; linking the EHR to CMS data sensitivity 7.9%, specificity 99.3%; VHA EHR-specific identifier for receipt of reentry services sensitivity 7.3%, specificity 98.9%; and NLP, sensitivity 63.5%, specificity 95.9%.CONCLUSIONS:
NLP tools hold promise as a feasible and valid method to identify individuals with exposure to incarceration in EHR. Future work should expand this approach using a larger body of documents and refinement of the methods, which may further improve operating characteristics of this method.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Contexto em Saúde:
1_ASSA2030
Problema de saúde:
1_acesso_equitativo_servicos
/
1_desigualdade_iniquidade
/
1_sistemas_informacao_saude
Assunto principal:
Prisioneiros
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Veteranos
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Processamento de Linguagem Natural
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Registros Eletrônicos de Saúde
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Autorrelato
/
Demandas Administrativas em Assistência à Saúde
Tipo de estudo:
Diagnostic_studies
/
Etiology_studies
/
Incidence_studies
/
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Aspecto:
Determinantes_sociais_saude
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Equity_inequality
/
Patient_preference
Limite:
Adult
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Female
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Humans
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Male
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Middle aged
País/Região como assunto:
America do norte
Idioma:
En
Revista:
Med Care
Ano de publicação:
2019
Tipo de documento:
Article