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Predictors of Patient Stigma Perception Appraisal: Testing a Dynamic Stigma Model of Mental Illness

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  • Sebastian Gyamfi
  • Cheryl Forchuk
  • Richard Booth
  • Isaac Luginaah

Abstract

There is a lack of research on stigma as a socio-cultural, religious, and moral phenomenon. This study aimed to test a Dynamic Stigma Model of Mental Illness (DYSMO) among a cohort of outpatients. We used structural equation modeling techniques to examine hypothesized relationships within the DYSMO in a cohort of 330 participants. Confirmatory factor analysis produced a model with five latent variables and 17 indicators. All factor loadings were significant at p  = .05). Mediation analysis on the full structural model produced standardized fit indices that include the following: (χ 2 / df  = 335.403 (105)), p  = .000; RMSEA = 0.08 (90% CI: [0.072, 0.092]; CFI = 0.921; SRMSR = 0.059; TLI = 0.90). Overall, the study revealed that religiocultural, and structural violence perspectives can promote and damage perceptions about mental illness.

Suggested Citation

  • Sebastian Gyamfi & Cheryl Forchuk & Richard Booth & Isaac Luginaah, 2025. "Predictors of Patient Stigma Perception Appraisal: Testing a Dynamic Stigma Model of Mental Illness," SAGE Open, , vol. 15(1), pages 21582440251, February.
    • Handle: RePEc:sae:sagope:v:15:y:2025:i:1:p:21582440251319983
    DOI: 10.1177/21582440251319983
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