Stressful life events in electronic health records: a scoping review.

EHR electronic health records life change events negative life events social determinants of health stressful life events

Journal

Research square
Titre abrégé: Res Sq
Pays: United States
ID NLM: 101768035

Informations de publication

Date de publication:
20 Oct 2023
Historique:
pubmed: 27 10 2023
medline: 27 10 2023
entrez: 27 10 2023
Statut: epublish

Résumé

Stressful life events, such as going through divorce, can have an important impact on human health. However, there are challenges in capturing these events in electronic health records (EHR). We conducted a scoping review aimed to answer two major questions: how stressful life events are documented in EHR and how they are utilized in research and clinical care. Three online databases (EBSCOhost platform, PubMed, and Scopus) were searched to identify papers that included information on stressful life events in EHR; paper titles and abstracts were reviewed for relevance by two independent reviewers. 527 unique papers were retrieved, and of these 60 were eligible for data extraction. Most articles (n=24, 40%) were focused on the statistical association between one or several stressful life events and health outcomes, followed by clinical utility (n=14, 23.3%), extraction of events from free-text notes (n=8, 13.3%), discussing privacy and other issues of storing life events (n=5, 8.3%), and new EHR features related to life events (n=4, 6.7%). The most frequently mentioned stressful life events in the publications were child abuse/neglect, arrest/legal issues, divorce/relationship breakup. Half of the papers (n=7) that analyzed clinical utility were focused on decision support systems for child abuse and neglect, while the other half (n=7) were discussing clinical interventions related to social determinants of health in general. Few studies are available on the prevalence and use of stressful life events in EHR reflecting challenges in screening and storage of stressful life events.

Identifiants

pubmed: 37886439
doi: 10.21203/rs.3.rs-3458708/v1
pmc: PMC10602151
pii:
doi:

Types de publication

Preprint

Langues

eng

Subventions

Organisme : NCATS NIH HHS
ID : UL1 TR001450
Pays : United States

Auteurs

Dmitry Scherbakov (D)

Biomedical Informatics Center, Department of Public Health Sciences, Medical University of South Carolina.

Abolfazl Mollalo (A)

Biomedical Informatics Center, Department of Public Health Sciences, Medical University of South Carolina.

Leslie Lenert (L)

Biomedical Informatics Center, Department of Public Health Sciences, Medical University of South Carolina.

Classifications MeSH