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Implementation barriers for mHealth for non-communicable diseases management in low and middle income countries: A scoping review and field-based views from implementers

  • Josefien van Olmen
  • , Erica Erwin
  • , Ana Cristina García-Ulloa
  • , Bruno Meessen
  • , J. Jaime Miranda
  • , Kirsty Bobrow
  • , Juliet Iwelunmore
  • , Ucheoma Nwaozuru
  • , Chisom Obiezu Umeh
  • , Carter Smith
  • , Chris Harding
  • , Pratap Kumar
  • , Clicerio Gonzales
  • , Sergio Hernández-Jiménez
  • , Karen Yeates
  • University of Antwerp
  • Institute of Tropical Medicine
  • Queen's University
  • Pamoja Tunaweza Research Center
  • Instituto Nacional de Ciencias Médicas y Nutrición “Salvador Zubirán”
  • Collectivity
  • Universidad Peruana Cayetano Heredia
  • University of Cape Town
  • University of Oxford
  • Saint Louis University
  • New York University
  • ConnectMed
  • Institute of Healthcare Management

Research output: Contribution to journalArticlepeer-review

40 Scopus citations

Abstract

Background: Mobile health (mHealth) has been hailed as a potential gamechanger for non-communicable disease (NCD) management, especially in low- and middle-income countries (LMIC). Individual studies illustrate barriers to implementation and scale-up, but an overview of implementation issues for NCD mHealth interventions in LMIC is lacking. This paper explores implementation issues from two perspectives: information in published papers and field-based knowledge by people working in this field. Methods: Through a scoping review publications on mHealth interventions for NCDs in LMIC were identified and assessed with the WHO mHealth Evidence Reporting and Assessment (mERA) tool. A two-stage web-based survey on implementation barriers was performed within a NCD research network and through two online platforms on mHealth targeting researchers and implementors. Results: 16 studies were included in the scoping review. Short Message Service (SMS) messaging was the main implementation tool. Most studies focused on patient-centered outcomes. Most studies did not report on process measures and on contextual conditions influencing implementation decisions. Few publications reported on implementation barriers. The websurvey included twelve projects and the responses revealed additional information, especially on practical barriers related to the patients' characteristics, low demand, technical requirements, integration with health services and with the wider context. Many interventions used low-cost software and devices with limited capacity that not allowed linkage with routine data or patient records, which incurred fragmented delivery and increased workload. Conclusion: Text messaging is a dominant mHealth tool for patient-directed of quality improvement interventions in LMIC. Publications report little on implementation barriers, while a questionnaire among implementors reveals significant barriers and strategies to address them. This information is relevant for decisions on scale-up of mHealth in the domain of NCD. Further knowledge should be gathered on implementation issues, and the conditions that allow universal coverage.

Original languageEnglish
Article number7
JournalWellcome Open Research
Volume5
DOIs
StatePublished - 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 17 - Partnerships for the Goals
    SDG 17 Partnerships for the Goals

Keywords

  • Diabetes
  • Implementation research
  • Low and middle income countries
  • Mobile health

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