Mental Health Clinician (May 2021)

Depression-related stigma among primary care providers

  • Andrew Kluemper, PharmD, BCPS, BCPP,
  • Lauren Heath, PharmD, MS, BCACP,
  • Danielle Loeb, MD, MPH,
  • Miranda Kroehl, MS, PhD,
  • Katy Trinkley, PharmD, BCACP

DOI
https://doi.org/10.9740/mhc.2021.05.175
Journal volume & issue
Vol. 11, no. 3
pp. 175 – 180

Abstract

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Introduction: Depression is one of the most common mental illnesses in the United States and is often treated in primary care settings. Despite its prevalence, depression remains underdiagnosed and undertreated for a variety of reasons, including stigma. This may result in suboptimal management of depression. Studies evaluating stigma in US primary care providers (PCP) are scarce. The main objective of this study was to describe stigma in a cohort of PCPs. Methods: We utilized a validated questionnaire to measure stigma (score range 15 to 75 with lower scores indicating lower stigma levels). PCPs in 2 academic internal medicine clinics were sent an electronic questionnaire and received a small monetary incentive for responding. In addition to the stigma survey, we collected demographic data, including age, provider type, gender, and other data related to social proximity to mental illness. To describe stigma, differences in stigma between provider characteristics were evaluated using t tests and ANOVA tests as appropriate. Results: Of 107 PCPs, 71 responded (66.4% response rate). Male responders displayed higher stigma scores than females (31.8 vs 27.4, P=.0021). Medical residents displayed higher stigma scores than nonresidents (31.3 vs 27.2, P=.0045). Providers with personal exposure to mental illness and those who reported they frequently treated depression had less stigma. Discussion: Overall, a range of stigma was present among PCPs surveyed. Higher levels of stigma were found in men, medical residents, those without personal exposure to mental illness, younger PCPs, and those who reported treating depression less frequently. Future studies should utilize larger sample sizes and focus on the impact of stigma on quality of care.

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