IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i22p12120-d682268.html
   My bibliography  Save this article

Knowledge Update on the Economic Evaluation of Pacemaker Telemonitoring Systems

Author

Listed:
  • Antonio Lopez-Villegas

    (Social Involvement of Critical and Emergency Medicine, CTS-609 Research Group, Poniente Hospital, 04700 El Ejido-Almería, Spain)

  • César Leal-Costa

    (Nursing Department, University of Murcia, 30120 Murcia, Spain)

  • Mercedes Perez-Heredia

    (Research Management Department, Primary Care District Poniente of Almería, 04700 El Ejido-Almería, Spain)

  • Irene Villegas-Tripiana

    (Research Support Unit and Library, Poniente Hospital, 04700 El Ejido-Almería, Spain)

  • Daniel Catalán-Matamoros

    (UC3M MediaLab, Department of Communication and Media Studies, Madrid University Carlos III, 28903 Madrid, Spain
    Health Sciences Research Institute, University of Almería, 04120 Almería, Spain)

Abstract

(1) Introduction: In the last two decades, telemedicine has been increasingly applied to telemonitoring (TM) of patients with pacemakers; however, presently, its growth has significantly accelerated because of the COVID-19 pandemic, which has pushed patients and healthcare workers alike to seek new ways to stay healthy with minimal physical contact. Therefore, the main objective of this study was to update the current knowledge on the differences in the medium-and long-term effectiveness of TM and conventional monitoring (CM) in relation to costs and health outcomes. (2) Methods: Three databases and one scientific registry were searched (PubMed, EMBASE, Scopus, and Google Scholar), with no restrictions on language or year of publication. Studies published until July 2021 were included. The inclusion criteria were: (a) experimental or observational design, (b) complete economic evaluation, (c) patients with implanted pacemakers, and (d) comparison of TM with CM. Measurements of study characteristics (author, study duration, sample size, age, sex, major indication for implantation, and pacemaker used), analysis, significant results of the variables (analysis performed, primary endpoints, secondary endpoints, health outcomes, and cost outcomes), and further miscellaneous measurements (methodological quality, variables coded, instrument development, coder training, and intercoder reliability, etc.) were included. (3) Results: 11 studies met the inclusion criteria, consisting of 3372 enrolled patients; 1773 (52.58%) of them were part of randomized clinical trials. The mean age was 72 years, and the atrioventricular block was established as the main indication for device implantation. TM was significantly effective in detecting the presence or absence of pacemaker problems, leading to a reduction in the number of unscheduled hospital visits (8.34–55.55%). The cost of TM was up to 87% lower than that of CM. There were no significant differences in health-related quality of life (HRQoL) and the number of cardiovascular events. (4) Conclusions: Most of the studies included in this systematic review confirm that in the TM group of patients with pacemakers, cardiovascular events are detected and treated earlier, and the number of unscheduled visits to the hospital is significantly reduced, without affecting the HRQoL of patients. In addition, with TM modality, both formal and informal costs are significantly reduced in the medium and long term.

Suggested Citation

  • Antonio Lopez-Villegas & César Leal-Costa & Mercedes Perez-Heredia & Irene Villegas-Tripiana & Daniel Catalán-Matamoros, 2021. "Knowledge Update on the Economic Evaluation of Pacemaker Telemonitoring Systems," IJERPH, MDPI, vol. 18(22), pages 1-22, November.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:22:p:12120-:d:682268
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/22/12120/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/18/22/12120/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nkiruka D Eze & Céu Mateus & Tiago Cravo Oliveira Hashiguchi, 2020. "Telemedicine in the OECD: An umbrella review of clinical and cost-effectiveness, patient experience and implementation," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-24, August.
    2. Sarah J Iribarren & Kenrick Cato & Louise Falzon & Patricia W Stone, 2017. "What is the economic evidence for mHealth? A systematic review of economic evaluations of mHealth solutions," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-20, February.
    3. Matthew Berman & Andrea Fenaughty, 2005. "Technology and managed care: patient benefits of telemedicine in a rural health care network," Health Economics, John Wiley & Sons, Ltd., vol. 14(6), pages 559-573, June.
    4. Antonio Lopez-Villegas & Daniel Catalan-Matamoros & Salvador Peiro & Knut Tore Lappegard & Remedios Lopez-Liria, 2020. "Cost–utility analysis of telemonitoring versus conventional hospital-based follow-up of patients with pacemakers. The NORDLAND randomized clinical trial," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-17, January.
    Full references (including those not matched with items on IDEAS)

    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. Mary D Adu & Usman H Malabu & Aduli E O Malau-Aduli & Bunmi S Malau-Aduli, 2019. "Enablers and barriers to effective diabetes self-management: A multi-national investigation," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-22, June.
    2. Jieun Chang & Scott J. Savage & Donald M. Waldman, 2017. "Estimating Willingness to Pay for Online Health Services with Discrete-Choice Experiments," Applied Health Economics and Health Policy, Springer, vol. 15(4), pages 491-500, August.
    3. Fuhmei Wang & Jung-Der Wang, 2021. "The Determinants of Telehealth Provision: Empirical Evidence from OECD Countries," IJERPH, MDPI, vol. 18(16), pages 1-13, August.
    4. Matias Busso & Maria P. Gonzalez & Carlos Scartascini, 2022. "On the demand for telemedicine: Evidence from the COVID‐19 pandemic," Health Economics, John Wiley & Sons, Ltd., vol. 31(7), pages 1491-1505, July.
    5. Karolina Kamecka & Calogero Foti & Łukasz Gawiński & Marek Matejun & Anna Rybarczyk-Szwajkowska & Marek Kiljański & Marek Krochmalski & Remigiusz Kozłowski & Michał Marczak, 2022. "Telemedicine Technologies Selection for the Posthospital Patient Care Process after Total Hip Arthroplasty," IJERPH, MDPI, vol. 19(18), pages 1-16, September.
    6. Vainieri, Milena & Vandelli, Andrea & Benvenuti, Stefano Casini & Bertarelli, Gaia, 2023. "Tracking the digital health gap in elderly: A study in Italian remote areas," Health Policy, Elsevier, vol. 133(C).
    7. Taehwan Park & Hyemin Kim & Seunghyun Song & Scott K. Griggs, 2022. "Economic Evaluation of Pharmacist-Led Digital Health Interventions: A Systematic Review," IJERPH, MDPI, vol. 19(19), pages 1-16, September.
    8. Pal, Sumantra, 2022. "Mobile health interventions: A policymakers’ note on the World’s largest Nutrition Surveillance in India," EconStor Preprints 264272, ZBW - Leibniz Information Centre for Economics.
    9. Yeonsoo Jang & Sang Hoon Ahn & Kyunghwa Lee & Oh Young Kwon & Jeong Hyun Kim, 2021. "Development and Pilot Testing of a Smartphone-Based Self-Care Program for Patients with Chronic Hepatitis B," IJERPH, MDPI, vol. 18(21), pages 1-13, October.
    10. Zartashia Ghani & Johan Jarl & Johan Sanmartin Berglund & Martin Andersson & Peter Anderberg, 2020. "The Cost-Effectiveness of Mobile Health (mHealth) Interventions for Older Adults: Systematic Review," IJERPH, MDPI, vol. 17(15), pages 1-13, July.
    11. Youngji Jo & Amnesty E LeFevre & Katherine Healy & Neelu Singh & Kelsey Alland & Sucheta Mehra & Hasmot Ali & Saijuddin Shaikh & Rezawanul Haque & Parul Christian & Alain B Labrique, 2019. "Costs and cost-effectiveness analyses of mCARE strategies for promoting care seeking of maternal and newborn health services in rural Bangladesh," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-13, October.
    12. Sefa Awaworyi Churchill & Janet Exornam Ocloo & Diana Siawor-Robertson, 2017. "Ethnic Diversity and Health Outcomes," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 134(3), pages 1077-1112, December.
    13. Leporatti, Lucia & Montefiori, Marcello, 2024. "Complex role of individual digital skills and eHealth policies in shaping health policy," Socio-Economic Planning Sciences, Elsevier, vol. 93(C).
    14. Janneke F M Scheerm & Alaa H Qari & Harmen Bijwaard & Laura Swinckels & Nicolas Giraudeau & Berno van Meijel & Rodrigo Mariño, 2024. "A Systematic Umbrella Review of the Effects of Teledentistry on Costs and Oral-Health Outcomes," Post-Print hal-04524687, HAL.
    15. Awaworyi Churchill, Sefa & Ocloo, Janet Exornam & Siawor-Robertson, Diana, 2015. "Ethnic diversity makes me sick! An examination of ethnic diversity’s effect on health outcomes," EconStor Preprints 123721, ZBW - Leibniz Information Centre for Economics.
    16. Anca M. Cotet & Daniel K. Benjamin, 2013. "Medical Regulation And Health Outcomes: The Effect Of The Physician Examination Requirement," Health Economics, John Wiley & Sons, Ltd., vol. 22(4), pages 393-409, April.
    17. Edward Simpson & David Bradley & John Palfreyman & Roger White, 2022. "Sustainable Society: Wellbeing and Technology—3 Case Studies in Decision Making," Sustainability, MDPI, vol. 14(20), pages 1-30, October.
    18. Janneke F. M. Scheerman & Alaa H. Qari & Benoit Varenne & Harmen Bijwaard & Laura Swinckels & Nicolas Giraudeau & Berno van Meijel & Rodrigo Mariño, 2024. "A Systematic Umbrella Review of the Effects of Teledentistry on Costs and Oral-Health Outcomes," IJERPH, MDPI, vol. 21(4), pages 1-24, March.
    19. Secinaro, Silvana & Brescia, Valerio & Lanzalonga, Federico & Santoro, Gabriele, 2022. "Smart city reporting: A bibliometric and structured literature review analysis to identify technological opportunities and challenges for sustainable development," Journal of Business Research, Elsevier, vol. 149(C), pages 296-313.
    20. Daniel Avdic & Johannes S. Kunz & Susan J. Méndez & Maria Wisniewska, 2024. "Does telemedicine affect prescribing quality in primary care?," Papers 2024-09, Centre for Health Economics, Monash University.

    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:18:y:2021:i:22:p:12120-:d:682268. 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.