Mobile phone‐based interactive voice response as a tool for improving access to healthcare in remote areas in Ghana – an evaluation of user experiences

Brinkel, Johanna; May, Jürgen; Krumkamp, Ralf; Lamshöft, Maike; Kreuels, Benno; Owusu‐Dabo, Ellis; Mohammed, Aliyu; Marinovic, Axel Bonačić; Dako-Gyeke, Phyllis; Krämer, Alexander; Fobil, Julius N.

doi:10.1111/tmi.12864

Cited by 34 publications

(44 citation statements)

References 20 publications

(26 reference statements)

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“…The lack of rigorous evaluation of the pilot mHealth studies threatens the trustworthiness of the mHealth field. To adequately understand the impact of mHealth interventions, it is vital to undertake more rigorous evaluations for the successful pilot mHealth initiatives that have potentials to be scaled-up [18,30]. Currently, there is insufficient empirical and policy evidence on this research area.…”

Section: Resultsmentioning

confidence: 99%

Health systems readiness for adopting mhealth interventions for addressing non-communicable diseases in low- and middle-income countries: a current debate

Feroz

Kadir

Saleem

2018

Global Health Action

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In low-and-middle-income countries, epidemiologic transition is taking place very rapidly from communicable diseases to non-communicable diseases. NCDs mortality rates are increasing faster and nearly 80% of NCDs deaths occur in LMICs. Existing weak health systems of LMICs are undergoing a devastating human and economic toll as a result of increasing treatment costs and losses to productivity from NCDs. At the same time, the increasing penetration of mobile phone technology and the spread of cellular network and infrastructure have led to the introduction of the mHealth field. While mHealth field offers a great promise to prevent and control non-communicable diseases in low-and-middle-income countries: there is a great debate going on to explore health systems readiness for adopting mHealth technology to address NCDs in LMICs. There are a number of factors which determine health systems readiness and response for adoption of mHealth technology including preparedness of healthcare institutions, availability of the resources, willingness of healthcare providers and communities. We have discussed these factors to understand health systems preparedness to adopt mHealth field for prevention and control of NCDs. To adequately integrate mobile-phone-based health interventions into existing health systems, these factors should be dealt up-front through constant effort to improve health systems response for NCDs. Currently, there is insufficient empirical and policy evidence on this research area and therefore future research and policy dialogue should be directed to assess the health systems willingness for mHealth adoption principally to address NCDs in the context of LMICs.

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Section: Resultsmentioning

confidence: 99%

Health systems readiness for adopting mhealth interventions for addressing non-communicable diseases in low- and middle-income countries: a current debate

Feroz

Kadir

Saleem

2018

Global Health Action

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“…Research methods used in the 54 reviewed resources were 25 qualitative papers [6,21,22,48,60,37,31,29,43,82,85,87,38,51,14,44,53,54,49,10,32,33,46,34,84], 9 surveys [7,8,45,4,16,13,23,28,18], mixed methods 7 [9,27,47,86,88,89,90], experimental 4 [19,26,36,91], 3 usability assessments [92,15,5], 2 cohort studies [11,41], and 4 were cross sectional [17,<...>…”

Section: Resultsmentioning

confidence: 99%

A Proposed Framework of Factors Affecting Patient Adoption of mHealth in the Developing World.

Addotey-Delove

Scott

Mars

2019

Preprint

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Patient perceptions and experiences of mobile health (m-health) systems have been recognised as an important element to consider in the adoption of m-health based technologies. Though much research supports this, published studies on m-health use by patients appear to highlight these issues in an isolated rather than holistic manner. Consequently, there is no encompassing framework that serves as a guide for effective implementation and maximum adoption of m-health from patients’ perspective in the developing world. This review documents patient adoption issues, and uses these to develop a framework of patient adoption issues for m-health in the developing world. A structured literature search was conducted using PubMed and Scopus. For PubMed a consolidated search string combined ‘MESH’ terms and ‘All Fields’ terms for selected keywords. For Scopus an equally consolidated search string was used. The searches were restricted to articles in English during the period January 2000 - December2018 and relevant to the developing world. Duplicate articles were removed. Titles and abstracts were screened by all authors for inclusion, and studies that met the inclusion criteria were selected for full-text review. Review and data abstraction was performed by two authors. Fifty four articles reported factors that impact patient adoption. Review and data abstraction identified specific factors, initially classified under 22 categories, that promote or impede m-health adoption in the developing world. Continued iterative review and discussion reduced these to 7 primary categories, with 21 sub-categories. The review showed: great inconsistency in the approach and tools used in published studies; multiple factors impact patient adoption of m-health in the developing world; the specific factors vary from setting to setting (e.g., country, rurality, mobile device type) and by recency of findings. Successful adoption of m-health by patients in the developing world critically depends on addressing the factors identified in the proposed framework, and assessing them prior to implementation of m-health initiatives in any specific setting. The framework will serve to: increase the consistency of patient adoption studies, form the basis for informed policy decisions by stakeholders, and provide the foundation for greater success of future m-health implementations for patients in the developing world.

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“…Most without access to reliable electricity live in sub-Saharan Africa where about 6 out of 10 people do not have access to electricity. Even those with access to an electrical grid can face increasingly regular electricity blackouts and brownouts (50 to 4,600 hours annually) due to capacity shortages and infrastructure failures, forcing the population to seek alternative sources, often diesel generators [23].…”

Section: Discussionmentioning

confidence: 99%

Review of patients perspective’s of m-health adoption factors in the developing world. Development of a framework

Addotey-Delove¹,

Scott²,

Mars³

2020

Preprint

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Background: Patient perceptions and experiences of mobile health (m-health) systems have been recognised as an important element to consider in the adoption of m-health based technologies. Though much research supports this, published studies that identify m-health use by patients appear to highlight these issues in an indirect rather than holistic manner. Consequently, there is no encompassing framework that serves as a guide for effective implementation and maximum adoption of m-health from the perspective of patients in the developing world. This review documents patient adoption issues specifically and uses these to develop a proposed framework of patient adoption issues for m-health in the developing world. Methods: A structured literature search was conducted using PubMed and Scopus. For PubMed a consolidated search string combined ‘MeSH’ terms and ‘All Fields’ terms for selected keywords. For Scopus an equally consolidated search string was used. The searches were restricted to articles in English during the period January 2000 to December 2019 and relevant to the developing world. Duplicate articles were removed. Titles and abstracts were screened by all authors for inclusion, and those studies that met the inclusion criteria were selected for full-text review. Review and data abstraction was performed by two authors.Results: Fifty four (54) articles reported factors that impact patient adoption. Review and data abstraction identified specific factors, initially classified under 22 categories, that promote or impede m-health adoption in the developing world. Continued iterative review and discussion reduced these to 7 primary categories, with 21 sub-categories, which were used to design the proposed framework.Conclusions: The review showed: great inconsistency in the approach and tools used in published studies; multiple factors impact patient adoption of m-health in the developing world; the specific factors vary from setting to setting (e.g., country, rurality, mobile device type) and by recency of findings. Successful adoption of m-health by patients in the developing world critically depends on addressing the factors identified in the proposed framework and assessing them prior to implementation of m-health initiatives in any specific setting. The proposed framework will serve to increase the consistency of patient adoption studies, form the basis for informed policy decisions by stakeholders, and provide the foundation for greater success of future m-health implementations for patients in the developing world.

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Mobile phone‐based interactive voice response as a tool for improving access to healthcare in remote areas in Ghana – an evaluation of user experiences

Abstract: The principles of the tested mHealth system could be of interest during infectious disease outbreaks, such as Ebola or Lassa fever, when there might be a special need for disease-specific health information within populations.

Cited by 34 publications

References 20 publications

Health systems readiness for adopting mhealth interventions for addressing non-communicable diseases in low- and middle-income countries: a current debate

Health systems readiness for adopting mhealth interventions for addressing non-communicable diseases in low- and middle-income countries: a current debate

A Proposed Framework of Factors Affecting Patient Adoption of mHealth in the Developing World.

Review of patients perspective’s of m-health adoption factors in the developing world. Development of a framework

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Mobile phone‐based interactive voice response as a tool for improving access to healthcare in remote areas in Ghana – an evaluation of user experiences

Abstract: The principles of the tested mHealth system could be of interest during infectious disease outbreaks, such as Ebola or Lassa fever, when there might be a special need for disease-specific health information within populations.

Cited by 34 publications

References 20 publications

Health systems readiness for adopting mhealth interventions for addressing non-communicable diseases in low- and middle-income countries: a current debate

Health systems readiness for adopting mhealth interventions for addressing non-communicable diseases in low- and middle-income countries: a current debate

A Proposed Framework of Factors Affecting Patient Adoption of mHealth in the Developing World.

Review of patients perspective’s of m-health adoption factors in the developing world.&nbsp;Development of a framework

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Product

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Review of patients perspective’s of m-health adoption factors in the developing world. Development of a framework