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February 27, 20260 citationsOpen Access

Mobile Telemedicine in Mental Health: A Longitudinal Study of South African Communities,

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MTMangosuthu Tshabalala-MsimangNMNkosi Mabaso

Key Points

  • This study aimed to evaluate the impact of mobile telemedicine on mental health service access in South African communities.
  • Participants recruited from four urban and rural communities
  • Data collected through regular mental health surveys
  • Mixed-methods approach used for data analysis including quantitative and qualitative measures
  • Telemedicine metrics and interviews assessed patient experiences
  • Mobile telemedicine improved access to mental health care in urban (52%) and rural (48%) areas
  • Significant increase in treatment-seeking behaviors observed over the study period
  • Findings indicate effectiveness in expanding mental healthcare for vulnerable populations

Abstract

Mobile telemedicine has emerged as a promising tool for delivering mental health services in underserved communities, particularly in South Africa where access to traditional healthcare facilities is limited. Participants were recruited from four randomly selected urban and rural communities, with data collected through regular surveys assessing mental health status and service utilization. Mixed-methods approach including quantitative assessments via standardised telemedicine metrics and qualitative interviews to capture subjective experiences. Mobile telemedicine services significantly improved access to mental health care in both urban (52%) and rural (48%) communities, with a notable increase in treatment-seeking behaviors over the study period. Findings suggest that mobile telemedicine can be an effective means of expanding mental healthcare access in South African communities, particularly for vulnerable populations lacking conventional healthcare options. Further research is warranted to explore cost-effectiveness and scalability of these services. Implementation strategies should focus on community engagement and technological infrastructure development. Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.

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Cite This Study

Tshabalala-Msimang et al. (2003) studied this question.

synapsesocial.com/papers/69a13591ed1d949a99abf91dhttps://doi.org/10.5281/zenodo.18765406
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