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Research Article

Health behaviour change and activation in e-health weight loss intervention for elderly: a randomised clinical trial

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Received 18 Oct 2022, Accepted 24 Mar 2023, Published online: 12 Jun 2023
 

ABSTRACT

Patient activation is associated with treatment adherence, self-accountability for healthcare and a healthy lifestyle change. Mobile health (m-Health) apps can lead to greater patient treatment adherence and health behaviour change. This study aimed to evaluate the health behaviour change of elderly people through a healthcare programme focused on activation with the support of technology. Three phases were conducted: (1) pre-intervention – design of the intervention protocol and the app, (2) intervention – randomised clinical trial with 41 overweight/obese elderly people. m-Health app-supported group psychotherapy was compared with group psychotherapy only and individual psychotherapy (control) and (3) post-intervention – statistical analysis, intervention’s assistant interviews and app heuristics evaluation. By crossing the results, the study has shown that there was no significant difference in the activation level before and after intervention between groups. However, there was a significant increase from the initial mean score to the final one when considering the three groups together. Group therapy, whether with or without the support of the app, was more effective for behaviour change measured by the achievement of the goals, than individual psychotherapy. The lack of impact on group therapy with app support calls into question which and how much technology support is useful.

Acknowledgments

The authors would like to acknowledge the patients and professionals who participated in the assessments, and the professionals who developed the mobile app. The authors acknowledge to the Brazilian National Council of Scientific and Technologic Development – CNPq.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by the Amazonas Research Foundation – FAPEAM, process number 37887.UNI704.54324.03052018.

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