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Expectations of telemedicine health service adoption in rural Bangladesh

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  • Zobair, Khondker Mohammad
  • Sanzogni, Louis
  • Sandhu, Kuldeep

Abstract

This study analyzes the antecedent factors that influence patients' expectations of telemedicine adoption in centres hosted by rural public hospitals in Bangladesh. It examines five antecedents of patients' expectations of telemedicine adoption—self-efficacy, telemedicine experience, knowledge, enjoyment, and prior satisfaction. A conceptual research model was formulated, encompassing a set of hypotheses that were developed and tested by employing partial least squares structural equation modelling. Using a structured survey questionnaire, a cross-sectional survey was conducted among 500 telemedicine users in different rural areas in Bangladesh. Except knowledge, four antecedents significantly contribute to patients' expectations of telemedicine health service adoption explaining 66% of the variance (R2) in expectations. These findings provide support for explaining antecedents to the formation of patients’ expectations of telemedicine adoption and the institutionalisation of favourable policy guidelines as an early guidance for the development of successful healthcare industries in Bangladesh and other similar settings. Specific policy interventions and recommendations are provided, including current research limitations leading to opportunities for future research.

Suggested Citation

  • Zobair, Khondker Mohammad & Sanzogni, Louis & Sandhu, Kuldeep, 2019. "Expectations of telemedicine health service adoption in rural Bangladesh," Social Science & Medicine, Elsevier, vol. 238(C), pages 1-1.
    • Handle: RePEc:eee:socmed:v:238:y:2019:i:c:11
    DOI: 10.1016/j.socscimed.2019.112485
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    Cited by:

    1. Khondker Mohammad Zobair & Louis Sanzogni & Luke Houghton & Md Zahidul Islam, 2021. "Forecasting care seekers satisfaction with telemedicine using machine learning and structural equation modeling," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-31, September.
    2. Shafiqul Islam & Khondker Mohammad Zobair & Cordia Chu & James C. R. Smart & Md Samsul Alam, 2021. "Do Political Economy Factors Influence Funding Allocations for Disaster Risk Reduction?," JRFM, MDPI, vol. 14(2), pages 1-20, February.

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