A Framework for Improving the Engagement of Medical Practitioners in an E-Training Platform for Tuberculosis Care and Prevention

Syed Mustafa Ali, Ana Filomena Curralo, Maged N. Kamel Boulos and Sara Paiva
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Syed Mustafa Ali: Mercy Corps, Islamabad 44000, Pakistan
Ana Filomena Curralo: Department, Instituto Politécnico de Viana do Castelo, 4900-367 Viana do Castelo, Portugal
Maged N. Kamel Boulos: Moray College, University of the Highlands and Islands, Elgin IV30 1JJ, UK
Sara Paiva: ARC4DigiT–Applied Research Center for Digital Transformation, Instituto Politécnico de Viana do Castelo, 4900-367 Viana do Castelo, Portugal

Future Internet, 2018, vol. 11, issue 1, 1-15

Abstract: We propose a new framework to improve the engagement of medical practitioners in a planned e-training platform for the successful identification and effective management of presumptive cases of tuberculosis (TB) in Pakistan. Our work is aligned with the World Health Organization’s TB-DOTS (Directly Observed Treatment Short-course) strategy for promoting the effective management of tuberculosis. We start by presenting previous work done at Mercy Corps Pakistan for training medical practitioners, then present the results of a recent survey we administered to a random sample of medical practitioners in Pakistan to learn about their requirements and readiness to embrace a new e-training platform and methodology. Informed by feedback from the survey, we formulated a detailed requirement analysis of the five key learning areas (or phases) that we believe are fundamental to the success of a TB e-training platform. Moreover, survey results revealed that an on-spot, on-demand, and competency-based learning tool can potentially improve the engagement of medical practitioners in the process. Building on the insights gained from the survey, we finally describe our initial UX (user experience) prototypes for phase 1, which corresponds to the identification of presumptive tuberculosis cases.

Keywords: health promotion; tuberculosis; e-training platform (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2018
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