Evaluating the comparability of patient-level social risk data extracted from electronic health records: A systematic scoping review.
Health Informatics J
; 29(3): 14604582231200300, 2023.
Article
em En
| MEDLINE
| ID: mdl-37677012
ABSTRACT
Objective:
To evaluate how and from where social risk data are extracted from EHRs for research purposes, and how observed differences may impact study generalizability.Methods:
Systematic scoping review of peer-reviewed literature that used patient-level EHR data to assess 1 ± 6 social risk domains housing, transportation, food, utilities, safety, social support/isolation.Results:
111/9022 identified articles met inclusion criteria. By domain, social support/isolation was most often included (N = 68/111), predominantly defined by marital/partner status (N = 48/68) and extracted from structured sociodemographic data (N = 45/48). Housing risk was defined primarily by homelessness (N = 39/49). Structured housing data was extracted most from billing codes and screening tools (N = 15/30, 13/30, respectively). Across domains, data were predominantly sourced from structured fields (N = 89/111) versus unstructured free text (N = 32/111).Conclusion:
We identified wide variability in how social domains are defined and extracted from EHRs for research. More consistency, particularly in how domains are operationalized, would enable greater insights across studies.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Contexto em Saúde:
1_ASSA2030
Base de dados:
MEDLINE
Assunto principal:
Apoio Social
/
Registros Eletrônicos de Saúde
Tipo de estudo:
Etiology_studies
/
Prognostic_studies
/
Risk_factors_studies
/
Systematic_reviews
Aspecto:
Determinantes_sociais_saude
/
Equity_inequality
Limite:
Humans
Idioma:
En
Revista:
Health Informatics J
Ano de publicação:
2023
Tipo de documento:
Article