Literature DB >> 35640038

Associations Between Different Self-reported Social Risks and Neighborhood-level Resources in Medicaid Patients.

Chris Miller-Rosales1, Jodi McCloskey2, Connie S Uratsu2, James D Ralston3, Elizabeth A Bayliss4,5, Richard W Grant2.   

Abstract

BACKGROUND: Adverse social conditions are a key contributor to health disparities. Improved understanding of how social risk factors interact with each other and with neighborhood characteristics may inform efforts to reduce health disparities. DATA: A questionnaire of 29,281 patients was collected through the enrollment of Medicaid beneficiaries in a large Northern California integrated health care delivery system between May 2016 and February 2020. EXPOSURES: Living in the least resourced quartile of neighborhoods as measured by a census-tract level Neighborhood Deprivation Index score. MAIN OUTCOMES: Five self-reported social risk factors: financial need, food insecurity, housing barriers, transportation barriers, and functional limitations.
RESULTS: Nearly half (42.0%) of patients reported at least 1 social risk factor; 22.4% reported 2 or more. Mean correlation coefficient between social risk factors was ρ=0.30. Multivariable logistic models controlling for age, race/ethnicity, sex, count of chronic conditions, and insurance source estimated that living in the least resourced neighborhoods was associated with greater odds of food insecurity (adjusted odds ratio=1.07, 95% confidence interval: 1.00-1.13) and transportation barriers (adjusted odds ratio=1.20, 95% confidence interval: 1.11-1.30), but not financial stress, housing barriers, or functional limitations. CONCLUSIONS AND RELEVANCE: We found that among 5 commonly associated social risk factors, Medicaid patients in a large Northern California health system typically reported only a single factor and that these factors did not correlate strongly with each other. We found only modestly greater social risk reported by patients in the least resourced neighborhoods. These results suggest that individual-level interventions should be targeted to specific needs whereas community-level interventions may be similarly important across diverse neighborhoods.
Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.

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Year:  2022        PMID: 35640038      PMCID: PMC9262842          DOI: 10.1097/MLR.0000000000001735

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   3.178


  44 in total

1.  Association Between Residential Neighborhood Social Conditions and Health Care Utilization and Costs.

Authors:  Yongkang Zhang; Jessica S Ancker; Jaclyn Hall; Dhruv Khullar; Yiyuan Wu; Rainu Kaushal
Journal:  Med Care       Date:  2020-07       Impact factor: 2.983

2.  Harnessing Geographic Information Systems (GIS) to enable community-oriented primary care.

Authors:  Andrew Bazemore; Robert L Phillips; Thomas Miyoshi
Journal:  J Am Board Fam Med       Date:  2010 Jan-Feb       Impact factor: 2.657

3.  Live Discharge From Hospice Due to Acute Hospitalization: The Role of Neighborhood Socioeconomic Characteristics and Race/Ethnicity.

Authors:  David Russell; Elizabeth A Luth; Miriam Ryvicker; Kathryn H Bowles; Holly G Prigerson
Journal:  Med Care       Date:  2020-04       Impact factor: 2.983

4.  "Community vital signs": incorporating geocoded social determinants into electronic records to promote patient and population health.

Authors:  Andrew W Bazemore; Erika K Cottrell; Rachel Gold; Lauren S Hughes; Robert L Phillips; Heather Angier; Timothy E Burdick; Mark A Carrozza; Jennifer E DeVoe
Journal:  J Am Med Inform Assoc       Date:  2015-07-13       Impact factor: 4.497

5.  Implementing Community Resource Referral Technology: Facilitators And Barriers Described By Early Adopters.

Authors:  Yuri Cartier; Caroline Fichtenberg; Laura M Gottlieb
Journal:  Health Aff (Millwood)       Date:  2020-04       Impact factor: 6.301

6.  The prevalence and effects of hunger in an emergency department patient population.

Authors:  M A Kersey; M S Beran; P G McGovern; M H Biros; N Lurie
Journal:  Acad Emerg Med       Date:  1999-11       Impact factor: 3.451

7.  Clinician Experiences and Attitudes Regarding Screening for Social Determinants of Health in a Large Integrated Health System.

Authors:  Adam Schickedanz; Courtnee Hamity; Artair Rogers; Adam L Sharp; Ana Jackson
Journal:  Med Care       Date:  2019-06       Impact factor: 2.983

8.  Latent Class Analysis to Represent Social Determinant of Health Risk Groups in the Medicaid Cohort of the District of Columbia.

Authors:  Melissa L McCarthy; Zhaonian Zheng; Marcee E Wilder; Angelo Elmi; Paige Kulie; Samuel Johnson; Scott L Zeger
Journal:  Med Care       Date:  2021-03-01       Impact factor: 3.178

9.  Comparison of Community-Level and Patient-Level Social Risk Data in a Network of Community Health Centers.

Authors:  Erika K Cottrell; Michelle Hendricks; Katie Dambrun; Stuart Cowburn; Matthew Pantell; Rachel Gold; Laura M Gottlieb
Journal:  JAMA Netw Open       Date:  2020-10-01

10.  Associations between historical redlining and birth outcomes from 2006 through 2015 in California.

Authors:  Anthony L Nardone; Joan A Casey; Kara E Rudolph; Deborah Karasek; Mahasin Mujahid; Rachel Morello-Frosch
Journal:  PLoS One       Date:  2020-08-07       Impact factor: 3.240

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