What does this research mean for the field?

Individual-level social risk factors documented in unstructured electronic health record data are significantly associated with increased risks of unplanned hospital readmissions, post-discharge emergency department visits, and extended length of stay. Novelty: ClaimNovelty.INCREMENTAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

August 29, 2022SSM - Population HealthOpen Access

Identifying individual social risk factors using unstructured data in electronic health records and their relationship with adverse clinical outcomes

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Why the study?

To determine the prevalence of individual-level social risk factors documented in unstructured EHR data and evaluate their relationship with adverse clinical outcomes.

Are individual social risk factors documented in EHRs associated with increased risk of unplanned readmissions, ED visits, and extended length of stay in adult inpatients?

Population

15,116 unique adult patients across 21,402 inpatient admissions

Comparison

Individual social risk factors vs absence across clinical outcomes

Design

Retrospective cohort study

Follow-up

30 days

Authors

SRS. Michaela RikardCenters for Disease Control and Prevention BKBommae KimUniversity of Virginia Health System JMJonathan D. MichelUniversity of Virginia Health System

Discussion

Member takes

Implication

EHR social factors may guide targeted discharge planning; leaves open whether mitigating economic instability reduces readmissions.

Structured PICO

Are individual social risk factors documented in EHRs associated with increased risk of unplanned readmissions, ED visits, and extended length of stay in adult inpatients?

Population

15,116 unique adult patients (≥18 years) with 21,402 inpatient admissions at the University of Virginia Medical Center between July 2018 and June 2019. Excluded: labor and delivery, discharged to hospice, left against medical advice, or expired in hospital.

Intervention

Presence of individual social risk factors (economic stability, education, social and community context, neighborhood and built environment) documented in unstructured EHR data

Comparator

Absence of documented social risk factors

Outcome

30-day unplanned inpatient readmissions, 30-day post-discharge emergency department (ED) visits, and extended length of stay (LOS)hard clinical

Social risk factors documented in unstructured EHR data are significant predictors of adverse clinical outcomes including 30-day readmissions and ED visits.

Cite This Study

Rikard et al. (2022) studied this question.

synapsesocial.com/papers/6a1bf16800ee29383e9d2fed https://doi.org/10.1016/j.ssmph.2022.101210

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Identifying individual social risk factors using unstructured data in electronic health records and their relationship with adverse clinical outcomes

Discussion

Member takes

Implication

Structured PICO

Cite This Study

Identifying individual social risk factors using unstructured data in electronic health records and their relationship with adverse clinical outcomes

Discussion

Member takes

Implication

Structured PICO

Cite This Study

Also Consider

Also Consider