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March 6, 2026Indian Journal of Community Medicine0 citationsOpen Access

“Barriers to Accessing Targeted Interventions among Key Populations in Jharkhand, India: A Mixed-Methods Study in Two Mining Towns”

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RJRavi Ranjan JhaRSRatnesh SinhaJRJai Ranjan

Key Points

  • The research seeks to uncover barriers to healthcare access for men who have sex with men, transgender individuals, and female sex workers in Jharkhand.
  • Used a mixed-methods approach combining quantitative surveys and qualitative focus group discussions.
  • Surveyed 104 participants via phone or in-person, with 30 participating in focus group discussions.
  • Quantitative data analyzed using SPSS and qualitative data using ATLAS.ti.
  • Key barriers identified include stigma, discrimination, lack of awareness, and infrastructural challenges.
  • Discrimination was notably higher for transgender individuals.
  • High acceptability scores on the Likert scale, with gender being a significant factor (P < 0.05).
  • MSMs expressed fear of disclosure, while reluctance for partner testing was common.
  • Significant levels of alcohol and drug abuse were reported.

Abstract

Abstract Introduction: This study investigates the barriers faced by key populations, men who have sex with men (MSM), transgender individuals (TGs), and female sex workers (FSWs), in two districts of Jharkhand in accessing healthcare services through targeted interventions (TIs). The objectives were to identify service delivery gaps, gain insights into participant experiences, and inform recommendations for improving healthcare access. Methods: A mixed-methods approach combining quantitative data collection was used. A total of 104 participants were surveyed by phone or in person, 30 of whom participated in FGDs. For qualitative data. The quantitative responses were scored on a five-point Likert scale for acceptability across the intervention’s four dimensions: accessibility, approachability, availability, and appropriateness. SPSS was used for quantitative data analysis, whereas ATLAS.ti was used for qualitative data analysis. Statistical significance was set at P < 0.05. Results: Stigma, discrimination, lack of awareness and infrastructural challenges were the key thematic areas revealed. Discrimination, particularly for TGs, was greater. Scoring on a Likert scale revealed a high level of acceptability; however, only gender was found to be statistically significant ( P < 0.05). MSMs reported fear of disclosure, whereas partner testing reluctance was commonly noted. Alcohol and drug abuse was noted to be significantly high. Conclusion: This study highlighted the need for culturally sensitive outreach, peer-based inclusion, and structural changes in health care settings. The findings provide actionable insights for policy makers to enhance inclusivity within national healthcare programs and address the unique challenges faced by key populations.

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Cite This Study

Jha et al. (2026) studied this question.

synapsesocial.com/papers/69aa7066531e4c4a9ff5a1dchttps://doi.org/10.4103/ijcm.ijcm_133_25
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