ArticleApplied clinical informatics2020
Toward Understanding the Value of Missing Social Determinants of Health Data in Care Transition Planning.
Article in Applied clinical informatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Social determinant of health patterns and mortality outcomes in US adults.BMC public health · 2025Article
- Extracting Social Determinants of Health from Dental Clinical Notes.Applied clinical informatics · 2025Article
- Healthcare Continuity in Crisis: Addressing Gaps in Longitudinal Care Through Inferential Statistics.Cureus · 2025Article
- Predicting Provider Workload Using Predicted Patient Risk Score and Social Determinants of Health in Primary Care Setting.Applied clinical informatics · 2024Article
- A Neurosurgical Readmissions Reduction Program in an Academic Hospital Leveraging Machine Learning, Workflow Analysis, and Simulation.Applied clinical informatics · 2024Article
- Voice-Enabled Response Analysis Agent (VERAA): Leveraging Large Language Models to Map Voice Responses in SDoH Survey.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2024Article
- Leveraging informative missing data to learn about acute respiratory distress syndrome and mortality in long-term hospitalized COVID-19 patients throughout the years of the pandemic.medRxiv : the preprint server for health sciences · 2023Article
- Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record?Journal of biomedical informatics · 2023Article
- Leveraging informative missing data to learn about acute respiratory distress syndrome and mortality in long-term hospitalized COVID-19 patients throughout the years of the pandemic.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2023Article
- Repeatable enhancement of healthcare data with social determinants of health.Frontiers in big data · 2022Article
- Care transitions and social needs: A Geriatric Emergency care Applied Research (GEAR) Network scoping review and consensus statement.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2021Article
- Models Predicting Hospital Admission of Adult Patients Utilizing Prehospital Data: Systematic Review Using PROBAST and CHARMS.JMIR medical informatics · 2021Review
- Effect of a Real-Time Risk Score on 30-day Readmission Reduction in Singapore.Applied clinical informatics · 2021Article
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Authors and funding
3 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundSocial determinants of health play an important role in the likelihood of readmission and therefore should be considered in care transition planning. Unfortunately, some social determinants that can be of value to care transition planners are missing in the electronic health record. Rather than trying to understand the value of data that are missing, decision makers often exclude these data. This exclusion can lead to failure to design appropriate care transition programs, leading to readmissions.
objectivesThis article examines the value of missing social determinants data to emergency department (ED) revisits, and subsequent readmissions.
methodsA deidentified data set of 123,697 people (18+ years), with at least one ED visit in 2017 at the University of Alabama at Birmingham Medical Center was used. The dependent variable was all-cause 30-day revisits (yes/no), while the independent variables were missing/nonmissing status of the social determinants of health measures. Logistic regression was used to test the relationship between likelihood of revisits and social determinants of health variables. Moreover, relative weight analysis was used to identify relative importance of the independent variables.
resultsTwelve social determinants were found to be most often missing. Of those 12, only "lives with" (alone or with family/friends) had higher odds of ED revisits. However, relative logistic weight analysis suggested that "pain score" and "activities of daily living" (ADL) accounted for almost 50% of the relevance for ED revisits when compared among all 12 variables.
conclusionIn the process of care transition planning, data that are documented are factored into the care transition plan. One of the most common challenges in health services practice is to understand the value of missing data in effective program planning. This study suggests that the data that are
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