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Patient and societal indicators for mHealth apps’ evaluation using Health Technology Assessment framework

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  • Katsaliaki, Korina
  • Kumar, Sameer
  • Galetsi⁠, Panagiota

Abstract

Health Technology Assessment (HTA) is an evaluation and decision-support tool used by healthcare decision-makers, payers, and policymakers to inform decisions regarding the adoption, reimbursement, and utilization of health technologies. mHealth apps offer new ways of prognosis and treatment and their use is rapidly growing. Yet, they need to undergo an HTA process to justify their credibility, usability and acceptance. The aim of this study is to analyze specific domains of the HTA framework and tailor them to mHealth apps by considering patient and societal perspectives retrieved from app store information and analytics. An example of the mental mHealth apps is examined to showcase the factors affecting patients' engagement and a specific mental mHealth app performance is benchmarked against overall sector's (mental mHealth apps) and immediate competitors' performance and user preferences. This is achieved through in-depth analysis of the observed features and market characteristics of 172 mental mHealth apps and the associations observed among user preferences and app capabilities/features. The study aims to provide guidance to HTA agencies for rigorous evaluation of mHealth apps and app developers for complying with required standards and user preferences.

Suggested Citation

  • Katsaliaki, Korina & Kumar, Sameer & Galetsi⁠, Panagiota, 2025. "Patient and societal indicators for mHealth apps’ evaluation using Health Technology Assessment framework," Technovation, Elsevier, vol. 140(C).
    • Handle: RePEc:eee:techno:v:140:y:2025:i:c:s0166497224001937
    DOI: 10.1016/j.technovation.2024.103143
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    1. Shoji, Masahiro & Cato, Susumu & Ito, Asei & Iida, Takashi & Ishida, Kenji & Katsumata, Hiroto & McElwain, Kenneth Mori, 2022. "Mobile health technology as a solution to self-control problems: The behavioral impact of COVID-19 contact tracing apps in Japan," Social Science & Medicine, Elsevier, vol. 306(C).
    2. Nicod, Elena & Kanavos, Panos, 2016. "Developing an evidence-based methodological framework to systematically compare HTA coverage decisions: A mixed methods study," Health Policy, Elsevier, vol. 120(1), pages 35-45.
    3. Baines, Darrin & Disegna, Marta & Hartwell, Christopher A., 2021. "Portfolio frontier analysis: Applying mean-variance analysis to health technology assessment for health systems under pressure," Social Science & Medicine, Elsevier, vol. 276(C).
    4. Biancone, Paolo & Secinaro, Silvana & Marseglia, Roberto & Calandra, Davide, 2023. "E-health for the future. Managerial perspectives using a multiple case study approach," Technovation, Elsevier, vol. 120(C).
    5. Bamel, Umesh & Talwar, Shalini & Pereira, Vijay & Corazza, Laura & Dhir, Amandeep, 2023. "Disruptive digital innovations in healthcare: Knowing the past and anticipating the future," Technovation, Elsevier, vol. 125(C).
    6. Gunn, Callum J. & Bertelsen, Neil & Regeer, Barbara J. & Schuitmaker-Warnaar, Tjerk Jan, 2021. "Valuing patient engagement: Reflexive learning in evidence generation practices for health technology assessment," Social Science & Medicine, Elsevier, vol. 280(C).
    7. Yuqian Xu & Mor Armony & Anindya Ghose, 2021. "The Interplay Between Online Reviews and Physician Demand: An Empirical Investigation," Management Science, INFORMS, vol. 67(12), pages 7344-7361, December.
    8. Galetsi, Panagiota & Katsaliaki, Korina & Kumar, Sameer, 2023. "Exploring benefits and ethical challenges in the rise of mHealth (mobile healthcare) technology for the common good: An analysis of mobile applications for health specialists," Technovation, Elsevier, vol. 121(C).
    9. Milon Biswas & Marzia Hoque Tania & M Shamim Kaiser & Russell Kabir & Mufti Mahmud & Atika Ahmad Kemal, 2021. "ACCU3RATE: A mobile health application rating scale based on user reviews," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-24, December.
    10. Addo, Rebecca & Hall, Jane & Haas, Marion & Goodall, Stephen, 2020. "The knowledge and attitude of Ghanaian decision-makers and researchers towards health technology assessment," Social Science & Medicine, Elsevier, vol. 250(C).
    11. Rosanna Tarricone & Francesco Petracca & Maria Cucciniello & Oriana Ciani, 2022. "Recommendations for developing a lifecycle, multidimensional assessment framework for mobile medical apps," Health Economics, John Wiley & Sons, Ltd., vol. 31(S1), pages 73-97, September.
    12. Kanavos, Panos & Visintin, Erica & Gentilini, Arianna, 2023. "Algorithms and heuristics of health technology assessments: A retrospective analysis of factors associated with HTA outcomes for new drugs across seven OECD countries," Social Science & Medicine, Elsevier, vol. 331(C).
    13. Bloemen, Bart & Jansen, Maarten & Rijke, Wouter & Oortwijn, Wija & van der Wilt, Gert Jan, 2021. "Mixed claims in Health Technology Assessment: The case of Non-Invasive Prenatal Testing," Social Science & Medicine, Elsevier, vol. 270(C).
    14. Angelis, A. & Linch, M. & Montibeller, G. & Molina-Lopez, T. & Zawada, A. & Orzel, K. & Arickx, F. & Espin, J. & Kanavos, P., 2020. "Multiple Criteria Decision Analysis for HTA across four EU Member States: Piloting the Advance Value Framework," Social Science & Medicine, Elsevier, vol. 246(C).
    15. Wang, Yi & Rattanavipapong, Waranya & Teerawattananon, Yot, 2021. "Using health technology assessment to set priority, inform target product profiles, and design clinical study for health innovation," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    16. Chih-Hao Yang & Yen-Chi Chen & Wei Hsu & Yu-Hui Chen, 2023. "Evaluation of smart long-term care information strategy portfolio decision model: the national healthcare environment in Taiwan," Annals of Operations Research, Springer, vol. 326(1), pages 505-536, July.
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