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17547 Transitions of Care among Patients with Diabetes in the Deep South: Factors Associated with Hospital Readmissions
ABSTRACT IMPACT: Because diabetes disproportionately affects residents in the Deep South, identifying factors increasing the risk of hospital readmissions unique to this population can translate to tailored interventions and strategies to improve transitions of care and patients’ health outcomes. OB...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8827928/ http://dx.doi.org/10.1017/cts.2021.706 |
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author | McDaniel, Cassidi C. Chou, Chiahung |
author_facet | McDaniel, Cassidi C. Chou, Chiahung |
author_sort | McDaniel, Cassidi C. |
collection | PubMed |
description | ABSTRACT IMPACT: Because diabetes disproportionately affects residents in the Deep South, identifying factors increasing the risk of hospital readmissions unique to this population can translate to tailored interventions and strategies to improve transitions of care and patients’ health outcomes. OBJECTIVES/GOALS: Patients with diabetes (PWD) are susceptible to hospital readmissions due to inadequate transitions of care (TOC). To better understand how to improve TOC, the objective of the study is to identify factors associated with readmissions among PWD in Alabama disproportionally affected by diabetes. METHODS/STUDY POPULATION: This retrospective cohort study utilizes electronic health record data from an urban health system in Alabama. The study population includes adults (≥18 years old) diagnosed with diabetes who were hospitalized between 2016 and 2020. Women who are pregnant during hospitalization or diagnosed with gestational diabetes are excluded. Patient’s index hospitalization is identified with a 3-month washout period preceding admission. The primary outcome is all-cause 30-day readmission. Characteristics are compared between patients with and without readmissions. Factors significantly associated with readmissions are identified with multiple logistic regression, adjusted for potential confounders. RESULTS/ANTICIPATED RESULTS: The sample size is expected to be around 30,000 individual PWD. Anticipated results include estimation of the all-cause 30-day readmission rate experienced by the PWD in Alabama. It is expected that various factors will be associated with either higher or lower odds of readmission, interpreted via odds ratios and 95% confidence intervals. Factors investigated are driven by previously identified risk factors of readmission from the literature, including but not limited to sociodemographic variables, lab values (A1C, glucose, serum albumin, serum sodium, etc.), vital signs (blood pressure), comorbidities, medications, length of stay, insurance coverage, geographic location, and social history. DISCUSSION/SIGNIFICANCE OF FINDINGS: Findings will establish evidence-based knowledge about TOC for PWD in the Deep South, specifically Alabama. Identifying factors associated with readmissions among PWD in Alabama will inform TOC intervention studies tailored to populations in the Deep South to effectively mitigate readmissions. |
format | Online Article Text |
id | pubmed-8827928 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-88279282022-02-28 17547 Transitions of Care among Patients with Diabetes in the Deep South: Factors Associated with Hospital Readmissions McDaniel, Cassidi C. Chou, Chiahung J Clin Transl Sci Translational Science, Policy, & Health Outcomes Science ABSTRACT IMPACT: Because diabetes disproportionately affects residents in the Deep South, identifying factors increasing the risk of hospital readmissions unique to this population can translate to tailored interventions and strategies to improve transitions of care and patients’ health outcomes. OBJECTIVES/GOALS: Patients with diabetes (PWD) are susceptible to hospital readmissions due to inadequate transitions of care (TOC). To better understand how to improve TOC, the objective of the study is to identify factors associated with readmissions among PWD in Alabama disproportionally affected by diabetes. METHODS/STUDY POPULATION: This retrospective cohort study utilizes electronic health record data from an urban health system in Alabama. The study population includes adults (≥18 years old) diagnosed with diabetes who were hospitalized between 2016 and 2020. Women who are pregnant during hospitalization or diagnosed with gestational diabetes are excluded. Patient’s index hospitalization is identified with a 3-month washout period preceding admission. The primary outcome is all-cause 30-day readmission. Characteristics are compared between patients with and without readmissions. Factors significantly associated with readmissions are identified with multiple logistic regression, adjusted for potential confounders. RESULTS/ANTICIPATED RESULTS: The sample size is expected to be around 30,000 individual PWD. Anticipated results include estimation of the all-cause 30-day readmission rate experienced by the PWD in Alabama. It is expected that various factors will be associated with either higher or lower odds of readmission, interpreted via odds ratios and 95% confidence intervals. Factors investigated are driven by previously identified risk factors of readmission from the literature, including but not limited to sociodemographic variables, lab values (A1C, glucose, serum albumin, serum sodium, etc.), vital signs (blood pressure), comorbidities, medications, length of stay, insurance coverage, geographic location, and social history. DISCUSSION/SIGNIFICANCE OF FINDINGS: Findings will establish evidence-based knowledge about TOC for PWD in the Deep South, specifically Alabama. Identifying factors associated with readmissions among PWD in Alabama will inform TOC intervention studies tailored to populations in the Deep South to effectively mitigate readmissions. Cambridge University Press 2021-03-30 /pmc/articles/PMC8827928/ http://dx.doi.org/10.1017/cts.2021.706 Text en © The Association for Clinical and Translational Science 2021 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Translational Science, Policy, & Health Outcomes Science McDaniel, Cassidi C. Chou, Chiahung 17547 Transitions of Care among Patients with Diabetes in the Deep South: Factors Associated with Hospital Readmissions |
title | 17547 Transitions of Care among Patients with Diabetes in the Deep South: Factors Associated with Hospital Readmissions |
title_full | 17547 Transitions of Care among Patients with Diabetes in the Deep South: Factors Associated with Hospital Readmissions |
title_fullStr | 17547 Transitions of Care among Patients with Diabetes in the Deep South: Factors Associated with Hospital Readmissions |
title_full_unstemmed | 17547 Transitions of Care among Patients with Diabetes in the Deep South: Factors Associated with Hospital Readmissions |
title_short | 17547 Transitions of Care among Patients with Diabetes in the Deep South: Factors Associated with Hospital Readmissions |
title_sort | 17547 transitions of care among patients with diabetes in the deep south: factors associated with hospital readmissions |
topic | Translational Science, Policy, & Health Outcomes Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8827928/ http://dx.doi.org/10.1017/cts.2021.706 |
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