Mobile health and the performance of maternal health care workers in low- and middle-income countries: A realist review

Research output: Contribution to JournalReview articleAcademicpeer-review

Abstract

Introduction: Maternal health and the performance of health workers is a key concern in low- and middle-income countries. Mobile health technologies are reportedly able to improve workers’ performance. However, how this has been achieved for maternal health workers in low-resource settings is not fully substantiated. To address this gap by building theoretical explanations, two questions were posed: How does mobile health influence the performance of maternal health care workers in low- and middle-income countries? What mechanisms and contextual factors are associated with mobile health use for maternal health service delivery in low- and middle-income countries? Methods: Guided by established guidelines, a realist review was conducted. Five databases were searched for relevant English language articles published between 2009 and 2016. A three-stage framework was developed and populated with explanatory configurations of Intervention–Context–Actors–Mechanism–Outcome. Articles were analyzed retroductively, with identified factors grouped into meaningful clusters. Results: Of 1254 records identified, 23 articles representing 16 studies were retained. Four main mechanisms were identified: usability and empowerment explaining mobile health adoption, third-party recognition explaining mobile health utilization, and empowerment of health workers explaining improved competence. Evidence was skewed toward the adoption and utilization stage of the framework, with weak explanations for performance outcomes. Conclusions: Findings suggest that health workers can be empowered to adopt and utilize mobile health in contexts where it is aligned to their needs, workload, training, and skills. In turn, mobile health can empower health workers with skills and confidence when it is perceived as useful and easy to use, in contexts that foster recognition from clients, peers, or supervisors.

Original languageEnglish
Pages (from-to)73-86
Number of pages14
JournalInternational Journal of Care Coordination
Volume21
Issue number3
Early online date19 Jun 2018
DOIs
Publication statusPublished - Sep 2018

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Telemedicine
Delivery of Health Care
Health
Maternal Health Services
Biomedical Technology
Maternal Health
Workload
Mental Competency
Language
Databases
Guidelines

Keywords

  • developing countries
  • health personnel
  • maternal health services
  • Mobile health
  • work performance

Cite this

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title = "Mobile health and the performance of maternal health care workers in low- and middle-income countries: A realist review",
abstract = "Introduction: Maternal health and the performance of health workers is a key concern in low- and middle-income countries. Mobile health technologies are reportedly able to improve workers’ performance. However, how this has been achieved for maternal health workers in low-resource settings is not fully substantiated. To address this gap by building theoretical explanations, two questions were posed: How does mobile health influence the performance of maternal health care workers in low- and middle-income countries? What mechanisms and contextual factors are associated with mobile health use for maternal health service delivery in low- and middle-income countries? Methods: Guided by established guidelines, a realist review was conducted. Five databases were searched for relevant English language articles published between 2009 and 2016. A three-stage framework was developed and populated with explanatory configurations of Intervention–Context–Actors–Mechanism–Outcome. Articles were analyzed retroductively, with identified factors grouped into meaningful clusters. Results: Of 1254 records identified, 23 articles representing 16 studies were retained. Four main mechanisms were identified: usability and empowerment explaining mobile health adoption, third-party recognition explaining mobile health utilization, and empowerment of health workers explaining improved competence. Evidence was skewed toward the adoption and utilization stage of the framework, with weak explanations for performance outcomes. Conclusions: Findings suggest that health workers can be empowered to adopt and utilize mobile health in contexts where it is aligned to their needs, workload, training, and skills. In turn, mobile health can empower health workers with skills and confidence when it is perceived as useful and easy to use, in contexts that foster recognition from clients, peers, or supervisors.",
keywords = "developing countries, health personnel, maternal health services, Mobile health, work performance",
author = "Abejirinde, {Ibukun Oluwa Omolade} and Onaedo Ilozumba and Bruno Marchal and Marjolein Zweekhorst and Marjolein Dieleman",
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AU - Abejirinde, Ibukun Oluwa Omolade

AU - Ilozumba, Onaedo

AU - Marchal, Bruno

AU - Zweekhorst, Marjolein

AU - Dieleman, Marjolein

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N2 - Introduction: Maternal health and the performance of health workers is a key concern in low- and middle-income countries. Mobile health technologies are reportedly able to improve workers’ performance. However, how this has been achieved for maternal health workers in low-resource settings is not fully substantiated. To address this gap by building theoretical explanations, two questions were posed: How does mobile health influence the performance of maternal health care workers in low- and middle-income countries? What mechanisms and contextual factors are associated with mobile health use for maternal health service delivery in low- and middle-income countries? Methods: Guided by established guidelines, a realist review was conducted. Five databases were searched for relevant English language articles published between 2009 and 2016. A three-stage framework was developed and populated with explanatory configurations of Intervention–Context–Actors–Mechanism–Outcome. Articles were analyzed retroductively, with identified factors grouped into meaningful clusters. Results: Of 1254 records identified, 23 articles representing 16 studies were retained. Four main mechanisms were identified: usability and empowerment explaining mobile health adoption, third-party recognition explaining mobile health utilization, and empowerment of health workers explaining improved competence. Evidence was skewed toward the adoption and utilization stage of the framework, with weak explanations for performance outcomes. Conclusions: Findings suggest that health workers can be empowered to adopt and utilize mobile health in contexts where it is aligned to their needs, workload, training, and skills. In turn, mobile health can empower health workers with skills and confidence when it is perceived as useful and easy to use, in contexts that foster recognition from clients, peers, or supervisors.

AB - Introduction: Maternal health and the performance of health workers is a key concern in low- and middle-income countries. Mobile health technologies are reportedly able to improve workers’ performance. However, how this has been achieved for maternal health workers in low-resource settings is not fully substantiated. To address this gap by building theoretical explanations, two questions were posed: How does mobile health influence the performance of maternal health care workers in low- and middle-income countries? What mechanisms and contextual factors are associated with mobile health use for maternal health service delivery in low- and middle-income countries? Methods: Guided by established guidelines, a realist review was conducted. Five databases were searched for relevant English language articles published between 2009 and 2016. A three-stage framework was developed and populated with explanatory configurations of Intervention–Context–Actors–Mechanism–Outcome. Articles were analyzed retroductively, with identified factors grouped into meaningful clusters. Results: Of 1254 records identified, 23 articles representing 16 studies were retained. Four main mechanisms were identified: usability and empowerment explaining mobile health adoption, third-party recognition explaining mobile health utilization, and empowerment of health workers explaining improved competence. Evidence was skewed toward the adoption and utilization stage of the framework, with weak explanations for performance outcomes. Conclusions: Findings suggest that health workers can be empowered to adopt and utilize mobile health in contexts where it is aligned to their needs, workload, training, and skills. In turn, mobile health can empower health workers with skills and confidence when it is perceived as useful and easy to use, in contexts that foster recognition from clients, peers, or supervisors.

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