A healthcare workers’ mHealth adoption instrument for the developing world

Addotey-Delove, Michael; Scott, Richard E.; Mars, Maurice

doi:10.1186/s12913-022-08592-0

Cited by 3 publications

(2 citation statements)

References 45 publications

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“…mHealth adoption is affected or promoted by certain factors, some of which are peculiar to the developing world. Identifying these factors and evaluating them will help develop a valid and reliable measuring instrument for more successful prediction of mHealth adoption in the future, Addotey-Delove et al (2022). Despite the high usage of mobile phones in daily life in developing countries like Bangladesh, the adoption and usage of mHealth services have been significantly low among the elderly population.…”

Section: Literature Reviewmentioning

confidence: 99%

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Exploring factors influencing the adoption of mobile healthcare technologies: perspectives from designers, consultants and users’ preferences

Namirad,

Deiranlou,

Sajadi

2023

AJB

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PurposeToday, the use of smart technologies in healthcare systems is experiencing exponential growth, and the future of healthcare is seemingly closely intertwined with such technologies. Thus, any exploration of the factors that influence human health and healthcare systems inevitably touches upon the subject of new technologies. This study aims to design a conceptual model to investigate the elements that affect individuals' openness to accepting and using mobile healthcare applications (mHealth apps) and their reciprocal effects.Design/methodology/approachAfter a brief review of the literature, the authors identify the influential factors in the acceptance of smart technologies in healthcare systems and present a conceptual model in this regard. Next, the authors analyze the factors and variables and the extent of their impact by a structural equation modeling (SEM) approach. The statistical population of this study consists of 421 individuals including the developers, consultants and users (i.e. patients) of mHealth apps. Data analysis was done on the statistical software SPSS v.26, while SEM was carried out using the partial least squares (PLS) method on the modeling software SmartPLS.FindingsThe results indicate that user, consultant and developer preferences have a positive and significant impact on time, quality of life, managing chronic conditions and cooperation, and these constructs (system performance) finally have a positive and significant impact on the acceptance of mobile healthcare technologies.Originality/valueThis paper shows that mHealth apps can have a remarkable role in the prevention and treatment of medical conditions, and it is strongly recommended that this technology be utilized in the studied region.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Exploring factors influencing the adoption of mobile healthcare technologies: perspectives from designers, consultants and users’ preferences

Namirad,

Deiranlou,

Sajadi

2023

AJB

View full text Add to dashboard Cite

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The adoption of mobile health applications by physicians during the COVID-19 pandemic in developing countries: The case of Saudi Arabia

Alsahli,

Hor

2024

International Journal of Information Management Data Insights

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Factors Affecting mHealth Technology Adoption in Developing Countries: The Case of Egypt

Said

2022

Computers

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Mobile health apps are seeing rapid growth in the potential to improve access to healthcare services for disadvantaged communities, while enhancing the efficiency of the healthcare delivery value chain. Still, the adoption of mHealth apps is relatively low, especially in developing countries. In Egypt, an initiative for national-level healthcare coverage was launched in 2021, accompanied by a rise in mHealth start-ups. However, many of these projects did not progress beyond the pilot stage, with very little known about the antecedents of mHealth adoption for the Egyptian user. Semi-structured interviews were conducted with 22 Egyptians, aiming to uncover factors affecting the use of mHealth apps for Egyptian citizens. Some of these factors were introduced by previous studies, such as Perceived Service Quality, Perceived Risk, Perceived Ease of Use, and Trust. Others were not well established in the mHealth research strand, such as Perceived Reputation and Perceived Familiarity, while Governance, Personalized Experience, Explain-ability, Interaction, Language, and Cultural Issues, are novel factors introduced by the current research. The effect of these suggested independent variables on the willingness to adopt mHealth apps was validated using a survey administered to 150 Egyptians, confirming the significant positive effect of most of these factors on mHealth adoption in Egypt. This research contributes to methodology by introducing novel constructs in the mHealth research context, which might be specific to the target developing country. Practical implications were suggested for designers and healthcare service providers might increase the adoption of their apps in developing countries, such as Egypt.

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A healthcare workers’ mHealth adoption instrument for the developing world

Cited by 3 publications

References 45 publications

Exploring factors influencing the adoption of mobile healthcare technologies: perspectives from designers, consultants and users’ preferences

Exploring factors influencing the adoption of mobile healthcare technologies: perspectives from designers, consultants and users’ preferences

The adoption of mobile health applications by physicians during the COVID-19 pandemic in developing countries: The case of Saudi Arabia

Factors Affecting mHealth Technology Adoption in Developing Countries: The Case of Egypt

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