A1 Journal article (refereed)
Interactive multiobjective optimization for finding the most preferred exercise therapy modality in knee osteoarthritis (2022)

Shavazipour, B., Afsar, B., Multanen, J., Miettinen, K., & Kujala, U. M. (2022). Interactive multiobjective optimization for finding the most preferred exercise therapy modality in knee osteoarthritis. Annals of Medicine, 54(1), 181-194. https://doi.org/10.1080/07853890.2021.2024876

JYU authors or editors

Publication details

All authors or editors: Shavazipour, Babooshka; Afsar, Bekir; Multanen, Juhani; Miettinen, Kaisa; Kujala, Urho M.

Journal or series: Annals of Medicine

ISSN: 0785-3890

eISSN: 1365-2060

Publication year: 2022

Publication date: 13/01/2022

Volume: 54

Issue number: 1

Pages range: 181-194

Publisher: Taylor & Francis

Publication country: United Kingdom

Publication language: English

DOI: https://doi.org/10.1080/07853890.2021.2024876

Publication open access: Openly available

Publication channel open access: Open Access channel

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/79391

Web address of parallel published publication (pre-print): https://www.researchsquare.com/article/rs-77399/v1


Background: There are no explicit guidelines or tools available to support clinicians in selecting exercise therapy modalities according to the characteristics of individual patients despite the apparent need.
Objective: This study develops a methodology based on a novel multiobjective optimization model and examines its feasibility as a decision support tool to support healthcare professionals in comparing different modalities and identifying the most preferred one based on a patient’s needs.
Methods: Thirty-one exercise therapy modalities were considered from 21 randomized controlled trials. A novel interactive multiobjective optimization model was designed to characterize the efficacy of an exercise therapy modality based on five objectives: minimizing cost, maximizing pain reduction, maximizing disability improvement, minimizing the number of supervised sessions, and minimizing the length of the treatment period. An interactive model incorporates clinicians’ preferences in finding the most preferred exercise therapy modality for each need. Multiobjective optimization methods are mathematical algorithms designed to identify the optimal balance between multiple conflicting objectives among available solutions/alternatives. They explicitly evaluate the conflicting objectives and support decision-makers in identifying the best balance. An experienced research-oriented physiotherapist was involved as a decisionmaker in the interactive solution process testing the proposed decision support tool.
Results: The proposed methodology design and interactive process of the tool, including preference information, graphs, and exercise suggestions following the preferences, can help clinicians to find the most preferred exercise therapy modality based on a patient’s needs and health status; paving the way to individualize recommendations.
Conclusions: We examined the feasibility of our decision support tool using an interactive multiobjective optimization method designed to help clinicians balance between conflicting objectives to find the most preferred exercise therapy modality for patients with knee osteoarthritis. The proposed methodology is generic enough to be applied in any field of medical and healthcare settings, where several alternative treatment options exist.

Keywords: knees; arthrosis; pain; physical functioning; physiotherapy; exercise therapy; optimisation; decision support systems; multi-objective optimisation

Free keywords: knee osteoarthritis; cost-effective exercise therapy modality; pain; physical function; decision making; decision support

Contributing organizations

Related projects

Ministry reporting: Yes

Reporting Year: 2022

Preliminary JUFO rating: 2

Last updated on 2022-20-09 at 15:00