IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i2p1244-d1030865.html
   My bibliography  Save this article

Healthcare Workers’ Perspectives of mHealth Adoption Factors in the Developing World: Scoping Review

Author

Listed:
  • Michael Addotey-Delove

    (Department of TeleHealth, School of Nursing & Public Health, College of Health Sciences, University of KwaZulu-Natal, Durban 4041, South Africa)

  • Richard E. Scott

    (Department of TeleHealth, School of Nursing & Public Health, College of Health Sciences, University of KwaZulu-Natal, Durban 4041, South Africa
    Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4Z6, Canada)

  • Maurice Mars

    (Department of TeleHealth, School of Nursing & Public Health, College of Health Sciences, University of KwaZulu-Natal, Durban 4041, South Africa
    College of Nursing and Health Sciences, Flinders University, Adelaide, SA 5042, Australia)

Abstract

Background: mHealth applications provide health practitioners with platforms that enable disease management, facilitate drug adherence, facilitate drug adherence, speed up diagnosis, monitor outbreaks, take and transfer medical images, and provide advice. Many developing economies are investing more in mobile telecommunication infrastructure than in road transport and electric power generation. Despite this, mHealth has not seen widespread adoption by healthcare workers in the developing world. This study reports a scoping review of factors that impact the adoption of mHealth by healthcare workers in the developing world, and based on these findings, a framework is developed for enhancing mHealth adoption by healthcare workers in the developing world. Methods: A structured literature search was performed using PubMed and Scopus, supplemented by hand searching. The searches were restricted to articles in English during the period January 2009 to December 2019 and relevant to the developing world that addressed: mobile phone use by healthcare workers and identified factors impacting the adoption of mHealth implementations. All authors reviewed selected papers, with final inclusion by consensus. Data abstraction was performed by all authors. The results were used to develop the conceptual framework using inductive iterative content analysis. Results and Discussion: Of 919 articles, 181 met the inclusion criteria and, following a review of full papers, 85 reported factors that impact (promote or impede) healthcare worker adoption of mHealth applications. These factors were categorised into 18 themes and, after continued iterative review and discussion were reduced to 7 primary categories (engagement/funding, infrastructure, training/technical support, healthcare workers’ mobile—cost/ownership, system utility, motivation/staffing, patients’ mobile—cost/ownership), with 17 sub-categories. These were used to design the proposed framework. Conclusions: Successful adoption of mHealth by healthcare workers in the developing world will depend on addressing the factors identified in the proposed framework. They must be assessed in each specific setting prior to mHealth implementation. Application of the proposed framework will help shape future policy and practice of mHealth implementation in the developing world and increase adoption by health workers.

Suggested Citation

  • Michael Addotey-Delove & Richard E. Scott & Maurice Mars, 2023. "Healthcare Workers’ Perspectives of mHealth Adoption Factors in the Developing World: Scoping Review," IJERPH, MDPI, vol. 20(2), pages 1-27, January.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:2:p:1244-:d:1030865
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/2/1244/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/20/2/1244/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    2. Madon, Shirin & Amaguru, Jackline Olanya & Malecela, Mwele Ntuli & Michael, Edwin, 2014. "Can mobile phones help control neglected tropical diseases? Experiences from Tanzania," Social Science & Medicine, Elsevier, vol. 102(C), pages 103-110.
    3. Kamal, Syeda Ayesha & Shafiq, Muhammad & Kakria, Priyanka, 2020. "Investigating acceptance of telemedicine services through an extended technology acceptance model (TAM)," Technology in Society, Elsevier, vol. 60(C).
    4. van Heerden, Alastair & Harris, Danielle M. & van Rooyen, Heidi & Barnabas, Ruanne V. & Ramanathan, Nithya & Ngcobo, Nkosinathi & Mpiyakhe, Zukiswa & Comulada, W. Scott, 2017. "Perceived mHealth barriers and benefits for home-based HIV testing and counseling and other care: Qualitative findings from health officials, community health workers, and persons living with HIV in S," Social Science & Medicine, Elsevier, vol. 183(C), pages 97-105.
    5. Forenbacher, Ivan & Husnjak, Siniša & Cvitić, Ivan & Jovović, Ivan, 2019. "Determinants of mobile phone ownership in Nigeria," Telecommunications Policy, Elsevier, vol. 43(7), pages 1-1.
    6. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jiexiang Jin & Mi Hyun Ryu, 2024. "Sustainable Healthcare in China: Analysis of User Satisfaction, Reuse Intention, and Electronic Word-of-Mouth for Online Health Service Platforms," Sustainability, MDPI, vol. 16(17), pages 1-18, September.
    2. Ji Luo & Sayed Fayaz Ahmad & Asma Alyaemeni & Yuhan Ou & Muhammad Irshad & Randah Alyafi-Alzahri & Ghadeer Alsanie & Syeda Taj Unnisa, 2024. "Role of perceived ease of use, usefulness, and financial strength on the adoption of health information systems: the moderating role of hospital size," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rajak, Manindra & Shaw, Krishnendu, 2021. "An extension of technology acceptance model for mHealth user adoption," Technology in Society, Elsevier, vol. 67(C).
    2. Taheri, Fatemeh & D'Haese, Marijke & Fiems, Dieter & Azadi, Hossein, 2022. "The intentions of agricultural professionals towards diffusing wireless sensor networks: Application of technology acceptance model in Southwest Iran," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    3. Yu Wang & Shanyong Wang & Jing Wang & Jiuchang Wei & Chenglin Wang, 2020. "An empirical study of consumers’ intention to use ride-sharing services: using an extended technology acceptance model," Transportation, Springer, vol. 47(1), pages 397-415, February.
    4. Mäntymäki, Matti & Salo, Jari, 2013. "Purchasing behavior in social virtual worlds: An examination of Habbo Hotel," International Journal of Information Management, Elsevier, vol. 33(2), pages 282-290.
    5. Cong Cheng & Hongfang Cui, 2024. "Combining digital and legacy technologies: firm digital transformation strategies—evidence from Chinese manufacturing companies," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    6. Lim, Joon Soo & Zhang, Jun, 2022. "Adoption of AI-driven personalization in digital news platforms: An integrative model of technology acceptance and perceived contingency," Technology in Society, Elsevier, vol. 69(C).
    7. Globisch, Joachim & Dütschke, Elisabeth & Schleich, Joachim, 2018. "Acceptance of electric passenger cars in commercial fleets," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 122-129.
    8. repec:zna:indecs:v:19:y:2021:i:4:p:420-436 is not listed on IDEAS
    9. Meena, Rahul & Sarabhai, Samar, 2023. "Extrinsic and intrinsic motivators for usage continuance of hedonic mobile apps," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    10. Nistor, Cristian, 2013. "A conceptual model for the use of social media in companies," MPRA Paper 44224, University Library of Munich, Germany.
    11. Kawsar Ahmad & Arifuzzaman Arifuzzaman & Abdullah Al Mamun & Junayed Md Khaled Bin Oalid, 2021. "Impact of consumer’s security, benefits and usefulness towards cashless transaction within Malaysian university student," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 10(2), pages 238-250, March.
    12. Peter Bou Saba & Régis Meissonier, 2016. "Conflict contagion effects from previous IT projects: action research during preliminary phases of a DST implementation project [Effets de contagion de conflits de projets TI antérieurs:Une recherc," Post-Print hal-02161336, HAL.
    13. Sarv Devaraj & Ming Fan & Rajiv Kohli, 2002. "Antecedents of B2C Channel Satisfaction and Preference: Validating e-Commerce Metrics," Information Systems Research, INFORMS, vol. 13(3), pages 316-333, September.
    14. Youngcheoul Kang & Nakbum Choi & Seoyong Kim, 2021. "Searching for New Model of Digital Informatics for Human–Computer Interaction: Testing the Institution-Based Technology Acceptance Model (ITAM)," IJERPH, MDPI, vol. 18(11), pages 1-36, May.
    15. Md. Alamgir Hossain & Ruhul Amin & Abdullah Al Masud & Md. Imran Hossain & Mohammad Awal Hossen & Mohammad Kamal Hossain, 2023. "What Drives People’s Behavioral Intention Toward Telemedicine? An Emerging Economy Perspective," SAGE Open, , vol. 13(3), pages 21582440231, July.
    16. Meng Tao & Muhammad Zahid Nawaz & Shahid Nawaz & Asad Hassan Butt & Hassan Ahmad, 2018. "Users’ acceptance of innovative mobile hotel booking trends: UK vs. PRC," Information Technology & Tourism, Springer, vol. 20(1), pages 9-36, December.
    17. Al-Qeisi, Kholoud & Dennis, Charles & Alamanos, Eleftherios & Jayawardhena, Chanaka, 2014. "Website design quality and usage behavior: Unified Theory of Acceptance and Use of Technology," Journal of Business Research, Elsevier, vol. 67(11), pages 2282-2290.
    18. Oghuma, Apollos Patricks & Chang, Younghoon & Libaque-Saenz, Christian Fernando & Park, Myeong-Cheol & Rho, Jae Jeung, 2015. "Benefit-confirmation model for post-adoption behavior of mobile instant messaging applications: A comparative analysis of KakaoTalk and Joyn in Korea," Telecommunications Policy, Elsevier, vol. 39(8), pages 658-677.
    19. Shafiqul Islam & Mohammad Fakhrul Islam & Noor-E- Zannat, 2023. "Behavioral Intention to Use Online for Shopping in Bangladesh: A Technology Acceptance Model Analysis," SAGE Open, , vol. 13(3), pages 21582440231, September.
    20. Netsanet Haile & Jörn Altmann, 2016. "Structural analysis of value creation in software service platforms," Electronic Markets, Springer;IIM University of St. Gallen, vol. 26(2), pages 129-142, May.
    21. McLean, Graeme & Osei-Frimpong, Kofi & Al-Nabhani, Khalid & Marriott, Hannah, 2020. "Examining consumer attitudes towards retailers' m-commerce mobile applications – An initial adoption vs. continuous use perspective," Journal of Business Research, Elsevier, vol. 106(C), pages 139-157.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:20:y:2023:i:2:p:1244-:d:1030865. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.