IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v16y2019i12p2086-d239345.html
   My bibliography  Save this article

Effectiveness and Estimation of Cost-Effectiveness of a Group-Based Multicomponent Physical Exercise Programme on Risk of Falling and Frailty in Community-Dwelling Older Adults

Author

Listed:
  • Tamara Alhambra-Borrás

    (Polibienestar Research Institute, Universitat de València, 46022 Valencia, Spain)

  • Estrella Durá-Ferrandis

    (Polibienestar Research Institute, Universitat de València, 46022 Valencia, Spain)

  • Maite Ferrando-García

    (Kveloce I+D+i, R&D+i Consultancy, 46002 Valencia, Spain)

Abstract

This study analyses the effectiveness and cost-effectiveness of a group-based multicomponent physical exercise programme aimed at reducing the risk of falling and frailty in community-dwelling older adults. This is a pretest–posttest non-equivalent control group design, with an intervention group and a comparison group. Participants were evaluated at baseline and after 9 months. The effectiveness analyses showed significant reduction in the risk of falling (−45.5%; p = 0.000) and frailty (−31%; p = 0.000) after the intervention for the participants in the physical exercise programme. Moreover, these participants showed an improvement in limitations in activities of daily living, self-care ability and the use of health resources, physical performance, balance and body mass index. The cost-effectiveness analyses showed that the intervention was cost-saving and more effective than usual care scenario. A novel group-based multicomponent physical exercise programme showed to be more effective and cost-effective than usual care for older adults suffering from risk of falling and frailty.

Suggested Citation

  • Tamara Alhambra-Borrás & Estrella Durá-Ferrandis & Maite Ferrando-García, 2019. "Effectiveness and Estimation of Cost-Effectiveness of a Group-Based Multicomponent Physical Exercise Programme on Risk of Falling and Frailty in Community-Dwelling Older Adults," IJERPH, MDPI, vol. 16(12), pages 1-15, June.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:12:p:2086-:d:239345
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/16/12/2086/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/16/12/2086/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Alastair M. Gray & Oliver Rivero-Arias & Philip M. Clarke, 2006. "Estimating the Association between SF-12 Responses and EQ-5D Utility Values by Response Mapping," Medical Decision Making, , vol. 26(1), pages 18-29, 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. Mark Oppe & Daniela Ortín-Sulbarán & Carlos Vila Silván & Anabel Estévez-Carrillo & Juan M. Ramos-Goñi, 2021. "Cost-effectiveness of adding Sativex® spray to spasticity care in Belgium: using bootstrapping instead of Monte Carlo simulation for probabilistic sensitivity analyses," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(5), pages 711-721, July.
    2. Ning Gu & Chris Bell & Marc Botteman & Xiang Ji & John Carter & Ben Hout, 2012. "Estimating Preference-Based EQ-5D Health State Utilities or Item Responses from Neuropathic Pain Scores," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 5(3), pages 185-197, September.
    3. Brazier, JE & Yang, Y & Tsuchiya, A, 2008. "A review of studies mapping (or cross walking) from non-preference based measures of health to generic preference-based measures," MPRA Paper 29808, University Library of Munich, Germany.
    4. Duncan Mortimer & Leonie Segal, 2008. "Comparing the Incomparable? A Systematic Review of Competing Techniques for Converting Descriptive Measures of Health Status into QALY-Weights," Medical Decision Making, , vol. 28(1), pages 66-89, January.
    5. Peiyi Lu & Ying Liang, 2016. "Health-Related Quality of Life of Young Chinese Civil Servants Working in Local Government: Comparison of SF-12 and EQ5D," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 11(4), pages 1445-1464, December.
    6. Haomiao Jia & Erica I. Lubetkin, 2008. "Estimating EuroQol EQ-5D Scores from Population Healthy Days Data," Medical Decision Making, , vol. 28(4), pages 491-499, July.
    7. Rowen, D & Brazier, J & Tsuchiya, A & Hernández, M & Ibbotson, R, 2009. "The simultaneous valuation of states from multiple instruments using ranking and VAS data: methods and preliminary results," MPRA Paper 29841, University Library of Munich, Germany.
    8. Alexander Silbersdorff & Julia Lynch & Stephan Klasen & Thomas Kneib, 2017. "Reconsidering the Income-Illness Relationship using Distributional Regression: An Application to Germany," Courant Research Centre: Poverty, Equity and Growth - Discussion Papers 231, Courant Research Centre PEG.
    9. Nicholas Graves & Mary Courtney & Helen Edwards & Anne Chang & Anthony Parker & Kathleen Finlayson, 2009. "Cost-Effectiveness of an Intervention to Reduce Emergency Re-Admissions to Hospital among Older Patients," PLOS ONE, Public Library of Science, vol. 4(10), pages 1-9, October.
    10. Hernández-Alava, Mónica & Pudney, Stephen, 2017. "Econometric modelling of multiple self-reports of health states: The switch from EQ-5D-3L to EQ-5D-5L in evaluating drug therapies for rheumatoid arthritis," Journal of Health Economics, Elsevier, vol. 55(C), pages 139-152.
    11. Ralph Crott & Andrew Briggs, 2010. "Mapping the QLQ-C30 quality of life cancer questionnaire to EQ-5D patient preferences," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 11(4), pages 427-434, August.
    12. Oliver Rivero-Arias & Melissa Ouellet & Alastair Gray & Jane Wolstenholme & Peter M. Rothwell & Ramon Luengo-Fernandez, 2010. "Mapping the Modified Rankin Scale (mRS) Measurement into the Generic EuroQol (EQ-5D) Health Outcome," Medical Decision Making, , vol. 30(3), pages 341-354, May.
    13. Kailu Wang & Xiaopeng Guo & Siyue Yu & Lu Gao & Zihao Wang & Huijuan Zhu & Bing Xing & Shuyang Zhang & Dong Dong, 2021. "Mapping of the acromegaly quality of life questionnaire to ED-5D-5L index score among patients with acromegaly," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(9), pages 1381-1391, December.
    14. McCarthy, Ian M., 2016. "Eliminating composite bias in treatment effects estimates: Applications to quality of life assessment," Journal of Health Economics, Elsevier, vol. 50(C), pages 47-58.
    15. Beth Woods & Andrea Manca & Helen Weatherly & Pedro Saramago & Eleftherios Sideris & Christina Giannopoulou & Stephen Rice & Mark Corbett & Andrew Vickers & Matthew Bowes & Hugh MacPherson & Mark Scul, 2017. "Cost-effectiveness of adjunct non-pharmacological interventions for osteoarthritis of the knee," PLOS ONE, Public Library of Science, vol. 12(3), pages 1-18, March.
    16. Fan Yang & Nancy Devlin & Nan Luo, 2019. "Impact of mapped EQ-5D utilities on cost-effectiveness analysis: in the case of dialysis treatments," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(1), pages 99-105, February.
    17. Mark Helfand & Lauren Saxton, 2007. "Medical Decision Making and Electronic Publishing," Medical Decision Making, , vol. 27(2), pages 98-100, March.
    18. Carlos Crespo & Estela Moreno & Jordi Sierra & Suzan Serip & Marta Rubio, 2013. "Cost-effectiveness analysis of azacitidine in the treatment of high-risk myelodysplastic syndromes in Spain," Health Economics Review, Springer, vol. 3(1), pages 1-10, December.
    19. Rowen, D & Brazier, J & Roberts, J, 2008. "Mapping SF-36 onto the EQ-5D index: how reliable is the relationship?," MPRA Paper 29831, University Library of Munich, Germany.
    20. Tracey A. Young & Clara Mukuria & Donna Rowen & John E. Brazier & Louise Longworth, 2015. "Mapping Functions in Health-Related Quality of Life," Medical Decision Making, , vol. 35(7), pages 912-926, October.

    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:16:y:2019:i:12:p:2086-:d:239345. 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.