Story
Translation and psychometric validation of the Mental Illness: Clinicians Attitudes Scale (MICA-4) to assess attitudes of primary care physicians in Pakistan
Key takeaway
Researchers validated a tool to measure mental health stigma in Pakistani doctors, which is important since stigma can prevent people from getting the care they need.
Quick Explainer
The study aimed to develop a culturally tailored tool to assess negative attitudes towards mental illness among primary care physicians in Pakistan. The researchers translated and validated the Mental Illness: Clinicians' Attitudes (MICA-4) scale, which captures three key conceptual domains: clinicians' general views, stereotyped beliefs, and stigmatizing attitudes. This psychometric validation process involved exploring the underlying factor structure, confirming its reliability, and examining its convergent validity. The findings suggest the Urdu MICA-4 can be cautiously used in Pakistani primary care settings, while highlighting the need for further refinement of the scale across diverse healthcare contexts to strengthen its measurement stability and comparability.
Deep Dive
Translation and Psychometric Validation of MICA-4 in Pakistan
Overview
This study aimed to translate and psychometrically validate the Mental Illness: Clinicians' Attitudes (MICA-4) scale to assess negative attitudes among primary care physicians (PCPs) in Pakistan.
Problem & Context
Negative and stigmatizing attitudes towards people with mental disorders among healthcare providers can act as a barrier to mental healthcare access. A robust, culturally tailored psychometric tool is crucial to assess these attitudes in primary care settings.
Methodology
- Two independent samples of PCPs (n=191, n=329) were recruited using non-probability sampling.
- The MICA-4 scale was forward-translated to Urdu by three bilingual mental health professionals, reviewed, and back-translated.
- Cognitive interviews were conducted with 15 PCPs to assess comprehension and clarity.
- Exploratory factor analysis (EFA) was conducted on Sample 1 to examine the underlying factor structure.
- Confirmatory factor analysis (CFA) was performed on Sample 2 to cross-validate the factor structure.
- Internal consistency and convergent validity were also assessed.
Results
- A three-factor solution was retained:
- Views (7 items): Clinicians' general evaluative perspectives toward mental illness and professional roles
- Stereotypes (5 items): Generalized beliefs and disclosure-related concerns about individuals with mental illness
- Stigma (3 items): Social distancing and perceived threat-related attitudes
- The CFA indicated good model fit (CFI = .958, TLI = .946).
- Three items (9, 13, and 12) were removed due to weak loadings (<.40).
- Composite reliability was adequate for Views (ω = .70) and Stereotypes (ω = .74), but lower for Stigma (ω ≈ .53).
- Convergent validity was modest (.40 to .44).
Limitations & Uncertainties
- The factor structure variability of the MICA-4 across cultures suggests the need for evidence-based refinement to strengthen measurement stability and comparability.
- The modest convergent validity indicates a need for further validation against other relevant measures.
Conclusion
The findings support the cautious use of the Urdu MICA-4 in Pakistani primary care settings, while highlighting the need for continued psychometric evaluation and refinement of the scale across diverse healthcare contexts.
