Feasibility and scalability of a fitness tracker study: Results from a longitudinal analysis of persons with multiple sclerosis.

adherence chronic disease fitbit lessons learned mobile health (mHealth) multiple sclerosis scalability wearable

Journal

Frontiers in digital health
ISSN: 2673-253X
Titre abrégé: Front Digit Health
Pays: Switzerland
ID NLM: 101771889

Informations de publication

Date de publication:
2023
Historique:
received: 29 07 2022
accepted: 06 02 2023
entrez: 17 3 2023
pubmed: 18 3 2023
medline: 18 3 2023
Statut: epublish

Résumé

Consumer-grade fitness trackers offer exciting opportunities to study persons with chronic diseases in greater detail and in their daily-life environment. However, attempts to bring fitness tracker measurement campaigns from tightly controlled clinical environments to home settings are often challenged by deteriorating study compliance or by organizational and resource limitations. By revisiting the study design and patient-reported experiences of a partly remote study with fitness trackers (BarKA-MS study), we aimed to qualitatively explore the relationship between overall study compliance and scalability. On that account, we aimed to derive lessons learned on strengths, weaknesses, and technical challenges for the conduct of future studies. The two-phased BarKA-MS study employed Fitbit Inspire HR and electronic surveys to monitor physical activity in 45 people with multiple sclerosis in a rehabilitation setting and in their natural surroundings at home for up to 8 weeks. We examined and quantified the recruitment and compliance in terms of questionnaire completion and device wear time. Furthermore, we qualitatively evaluated experiences with devices according to participants' survey-collected reports. Finally, we reviewed the BarKA-MS study conduct characteristics for its scalability according to the Intervention Scalability Assessment Tool checklist. Weekly electronic surveys completion reached 96%. On average, the Fitbit data revealed 99% and 97% valid wear days at the rehabilitation clinic and in the home setting, respectively. Positive experiences with the device were predominant: only 17% of the feedbacks had a negative connotation, mostly pertaining to perceived measurement inaccuracies. Twenty-five major topics and study characteristics relating to compliance were identified. They broadly fell into the three categories: "effectiveness of support measures", "recruitment and compliance barriers", and "technical challenges". The scalability assessment revealed that the highly individualized support measures, which contributed greatly to the high study compliance, may face substantial scalability challenges due to the strong human involvement and limited potential for standardization. The personal interactions and highly individualized participant support positively influenced study compliance and retention. But the major human involvement in these support actions will pose scalability challenges due to resource limitations. Study conductors should anticipate this potential compliance-scalability trade-off already in the design phase.

Sections du résumé

Background UNASSIGNED
Consumer-grade fitness trackers offer exciting opportunities to study persons with chronic diseases in greater detail and in their daily-life environment. However, attempts to bring fitness tracker measurement campaigns from tightly controlled clinical environments to home settings are often challenged by deteriorating study compliance or by organizational and resource limitations.
Objectives UNASSIGNED
By revisiting the study design and patient-reported experiences of a partly remote study with fitness trackers (BarKA-MS study), we aimed to qualitatively explore the relationship between overall study compliance and scalability. On that account, we aimed to derive lessons learned on strengths, weaknesses, and technical challenges for the conduct of future studies.
Methods UNASSIGNED
The two-phased BarKA-MS study employed Fitbit Inspire HR and electronic surveys to monitor physical activity in 45 people with multiple sclerosis in a rehabilitation setting and in their natural surroundings at home for up to 8 weeks. We examined and quantified the recruitment and compliance in terms of questionnaire completion and device wear time. Furthermore, we qualitatively evaluated experiences with devices according to participants' survey-collected reports. Finally, we reviewed the BarKA-MS study conduct characteristics for its scalability according to the Intervention Scalability Assessment Tool checklist.
Results UNASSIGNED
Weekly electronic surveys completion reached 96%. On average, the Fitbit data revealed 99% and 97% valid wear days at the rehabilitation clinic and in the home setting, respectively. Positive experiences with the device were predominant: only 17% of the feedbacks had a negative connotation, mostly pertaining to perceived measurement inaccuracies. Twenty-five major topics and study characteristics relating to compliance were identified. They broadly fell into the three categories: "effectiveness of support measures", "recruitment and compliance barriers", and "technical challenges". The scalability assessment revealed that the highly individualized support measures, which contributed greatly to the high study compliance, may face substantial scalability challenges due to the strong human involvement and limited potential for standardization.
Conclusion UNASSIGNED
The personal interactions and highly individualized participant support positively influenced study compliance and retention. But the major human involvement in these support actions will pose scalability challenges due to resource limitations. Study conductors should anticipate this potential compliance-scalability trade-off already in the design phase.

Identifiants

pubmed: 36926468
doi: 10.3389/fdgth.2023.1006932
pmc: PMC10012422
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1006932

Informations de copyright

© 2023 Sieber, Haag, Polhemus, Sylvester, Kool, Gonzenbach and von Wyl.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Chloé Sieber (C)

Institute for Implementation Science in Health Care, Faculty of Medicine, University of Zürich, Zürich, Switzerland.
Epidemiology and Biostatistics and Prevention Institute, Faculty of Medicine, University of Zürich, Zürich, Switzerland.

Christina Haag (C)

Institute for Implementation Science in Health Care, Faculty of Medicine, University of Zürich, Zürich, Switzerland.
Epidemiology and Biostatistics and Prevention Institute, Faculty of Medicine, University of Zürich, Zürich, Switzerland.

Ashley Polhemus (A)

Epidemiology and Biostatistics and Prevention Institute, Faculty of Medicine, University of Zürich, Zürich, Switzerland.

Ramona Sylvester (R)

Research Department Physiotherapy, Rehabilitation Centre, Valens, Switzerland.

Jan Kool (J)

Research Department Physiotherapy, Rehabilitation Centre, Valens, Switzerland.

Roman Gonzenbach (R)

Research Department Physiotherapy, Rehabilitation Centre, Valens, Switzerland.

Viktor von Wyl (V)

Institute for Implementation Science in Health Care, Faculty of Medicine, University of Zürich, Zürich, Switzerland.
Epidemiology and Biostatistics and Prevention Institute, Faculty of Medicine, University of Zürich, Zürich, Switzerland.

Classifications MeSH