Evaluating associations between social risks and health care utilization in patients with chronic low back pain.

Sang S Pak, Yuxi Jiang, Dmytro S Lituiev, Emilia H De Marchis, Thomas A Peterson
Author Information
  1. Sang S Pak: Department of Physical Therapy and Rehabilitation Science, School of Medicine, University of California San Francisco, San Francisco, CA, USA.
  2. Yuxi Jiang: Department of Physical Therapy and Rehabilitation Science, School of Medicine, University of California San Francisco, San Francisco, CA, USA.
  3. Dmytro S Lituiev: Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA, USA.
  4. Emilia H De Marchis: Department of Family & Community Medicine, University of California San Francisco, San Francisco, CA, USA.
  5. Thomas A Peterson: Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA, USA.

Abstract

Introduction: Care and outcomes for patients with chronic low back pain (cLBP) are influenced by the social risk factors that they experience. Social risk factors such as food insecurity and housing instability have detrimental effects on patient health and wellness, healthcare outcomes, and health disparities.
Objectives: This retrospective cross-sectional study examined how social risk factors identified in unstructured and structured electronic health record (EHR) data for 1,295 patients with cLBP were associated with health care utilization. We also studied the impact of social risk factors, controlling for back pain-related disability on health care utilization.
Methods: Included patients who received outpatient spine and/or physical therapy services at an urban academic medical center between 2018 and 2020. Five identified social risks were financial insecurity, housing instability, food insecurity, transportation barriers, and social isolation. Outcomes included 4 categories of health care utilization: emergency department (ED) visits/hospitalizations, imaging, outpatient specialty visits related to spine care, and physical therapy (PT) visits. Poisson regression models tested associations between the presence of identified social risks and each outcome measure.
Results: Identified social risks in 12.8% of the study population (N = 166/1,295). In multivariate models, social isolation was positively associated with imaging, specialty visits, and PT visits; housing instability was positively associated with ED visits/hospitalizations and imaging; food insecurity was positively associated with ED visits/hospitalizations and specialty visits but negatively associated with PT visits; and financial strain was positively associated with PT visits but negatively associated with ED visits/hospitalization.
Conclusion: These associations were seen above and beyond other factors used as markers of socioeconomic marginalization, including neighborhood-level social determinants of health, race/ethnicity, and insurance type. Identifying and intervening on social risk factors that patients with cLBP experience may improve outcomes and be cost-saving.

Keywords

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Word Cloud

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