Literature DB >> 36269531

Evaluating Social Determinants of Health in a Mobile Integrated Healthcare-Community Paramedicine Program.

Sean Naimi1, Benoit Stryckman2, Yuanyuan Liang3, Kristin Seidl4,5, Erinn Harris6, Colleen Landi7, Jessica Thomas6, David Marcozzi2, Daniel B Gingold2.   

Abstract

In 2018, the University of Maryland Medical Center and the Baltimore City Fire Department implemented a community paramedicine program to help medically or socially complex patients transition from hospital to home and avoid hospital utilization. This study describes how patients' social determinants of health (SDoH) needs were identified, and measures the association between needs and hospital utilization. SDoH needs were categorized into ten domains. Multinomial logistic regression was used to measure association between identified SDoH domains and predicted risk of readmission. Poisson regression was used to measure association between SDoH domains and actual 30-day hospital utilization. The most frequently identified SDoH needs were in the Coordination of Healthcare (37.7%), Durable Medical Equipment (18.8%), and Medication (16.3%) domains. Compared with low-risk patients, patients with an intermediate risk of readmission were more likely to have needs within the Coordination of Healthcare (RRR [95% CI] 1.12 [1.01, 1.24], p = 0.032) and Durable Medical Equipment (RRR = 1.13 [1.00, 1.27], p = 0.046) domains. Patients with the highest risk for readmission were more likely to have needs in the Utilities domain (RRR = 1.76 [0.97, 3.19], p = 0.063). Miscellaneous domain needs, such as requiring a social security card, were associated with increased 30-day hospital utilization (IRR = 1.23 [0.96, 1.57], p = 0.095). SDoH needs within the Coordination of Healthcare, Durable Medical Equipment, and Utilities domains were associated with higher predicted 30-day readmission, while identification documentation and social services needs were associated with actual readmission. These results suggest where to allocate resources to effectively diminish hospital utilization.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Community paramedicine; Hospital utilization; Mobile integrated healthcare; Social determinants of health

Year:  2022        PMID: 36269531     DOI: 10.1007/s10900-022-01148-7

Source DB:  PubMed          Journal:  J Community Health        ISSN: 0094-5145


  14 in total

1.  Hospital readmissions--not just a measure of quality.

Authors:  Shreya Kangovi; David Grande
Journal:  JAMA       Date:  2011-10-26       Impact factor: 56.272

2.  Social Determinants of Health: A Missing Link in Emergency Medicine Training.

Authors:  Daniel J Axelson; Matthew J Stull; Wendy C Coates
Journal:  AEM Educ Train       Date:  2017-09-18

3.  Social determinants and emergency department utilization: Findings from the Veterans Health Administration.

Authors:  Camille I Davis; Ann Elizabeth Montgomery; Melissa E Dichter; Laura D Taylor; John R Blosnich
Journal:  Am J Emerg Med       Date:  2020-05-27       Impact factor: 2.469

4.  Association of the Hospital Readmissions Reduction Program Implementation With Readmission and Mortality Outcomes in Heart Failure.

Authors:  Ankur Gupta; Larry A Allen; Deepak L Bhatt; Margueritte Cox; Adam D DeVore; Paul A Heidenreich; Adrian F Hernandez; Eric D Peterson; Roland A Matsouaka; Clyde W Yancy; Gregg C Fonarow
Journal:  JAMA Cardiol       Date:  2018-01-01       Impact factor: 14.676

5.  Social determinants of health, emergency department utilization, and people with intellectual and developmental disabilities.

Authors:  Carli Friedman
Journal:  Disabil Health J       Date:  2020-06-24       Impact factor: 2.554

6.  Neighborhood socioeconomic disadvantage and 30-day rehospitalization: a retrospective cohort study.

Authors:  Amy J H Kind; Steve Jencks; Jane Brock; Menggang Yu; Christie Bartels; William Ehlenbach; Caprice Greenberg; Maureen Smith
Journal:  Ann Intern Med       Date:  2014-12-02       Impact factor: 25.391

7.  Adding socioeconomic data to hospital readmissions calculations may produce more useful results.

Authors:  Elna M Nagasako; Mat Reidhead; Brian Waterman; W Claiborne Dunagan
Journal:  Health Aff (Millwood)       Date:  2014-05       Impact factor: 6.301

8.  Systematic Review of Community Paramedicine and EMS Mobile Integrated Health Care Interventions in the United States.

Authors:  Abbey Gregg; Joshua Tutek; Matthew D Leatherwood; William Crawford; Richard Friend; Martha Crowther; Robert McKinney
Journal:  Popul Health Manag       Date:  2019-01-03       Impact factor: 2.459

9.  The Association of Health Literacy With Preventable Emergency Department Visits: A Cross-sectional Study.

Authors:  Meenakshi P Balakrishnan; Jill Boylston Herndon; Jingnan Zhang; Thomas Payton; Jonathan Shuster; Donna L Carden
Journal:  Acad Emerg Med       Date:  2017-08-14       Impact factor: 3.451

10.  High utilizers of emergency health services in a population-based cohort of homeless adults.

Authors:  Catharine Chambers; Shirley Chiu; Marko Katic; Alex Kiss; Donald A Redelmeier; Wendy Levinson; Stephen W Hwang
Journal:  Am J Public Health       Date:  2013-10-22       Impact factor: 9.308

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