Behavior Change Approaches in Digital Technology-Based Physical Rehabilitation Interventions Following Stroke : Scoping Review

©Helen J Gooch, Kathryn A Jarvis, Rachel C Stockley. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 24.04.2024..

BACKGROUND: Digital health technologies (DHTs) are increasingly used in physical stroke rehabilitation to support individuals in successfully engaging with the frequent, intensive, and lengthy activities required to optimize recovery. Despite this, little is known about behavior change within these interventions.

OBJECTIVE: This scoping review aimed to identify if and how behavior change approaches (ie, theories, models, frameworks, and techniques to influence behavior) are incorporated within physical stroke rehabilitation interventions that include a DHT.

METHODS: Databases (Embase, MEDLINE, PsycINFO, CINAHL, Cochrane Library, and AMED) were searched using keywords relating to behavior change, DHT, physical rehabilitation, and stroke. The results were independently screened by 2 reviewers. Sources were included if they reported a completed primary research study in which a behavior change approach could be identified within a physical stroke rehabilitation intervention that included a DHT. Data, including the study design, DHT used, and behavior change approaches, were charted. Specific behavior change techniques were coded to the behavior change technique taxonomy version 1 (BCTTv1).

RESULTS: From a total of 1973 identified sources, 103 (5%) studies were included for data charting. The most common reason for exclusion at full-text screening was the absence of an explicit approach to behavior change (165/245, 67%). Almost half (45/103, 44%) of the included studies were described as pilot or feasibility studies. Virtual reality was the most frequently identified DHT type (58/103, 56%), and almost two-thirds (65/103, 63%) of studies focused on upper limb rehabilitation. Only a limited number of studies (18/103, 17%) included a theory, model, or framework for behavior change. The most frequently used BCTTv1 clusters were feedback and monitoring (88/103, 85%), reward and threat (56/103, 54%), goals and planning (33/103, 32%), and shaping knowledge (33/103, 32%). Relationships between feedback and monitoring and reward and threat were identified using a relationship map, with prominent use of both of these clusters in interventions that included virtual reality.

CONCLUSIONS: Despite an assumption that DHTs can promote engagement in rehabilitation, this scoping review demonstrates that very few studies of physical stroke rehabilitation that include a DHT overtly used any form of behavior change approach. From those studies that did consider behavior change, most did not report a robust underpinning theory. Future development and research need to explicitly articulate how including DHTs within an intervention may support the behavior change required for optimal engagement in physical rehabilitation following stroke, as well as establish their effectiveness. This understanding is likely to support the realization of the transformative potential of DHTs in stroke rehabilitation.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:26

Enthalten in:

Journal of medical Internet research - 26(2024) vom: 24. Apr., Seite e48725

Sprache:

Englisch

Beteiligte Personen:

Gooch, Helen J [VerfasserIn]
Jarvis, Kathryn A [VerfasserIn]
Stockley, Rachel C [VerfasserIn]

Links:

Volltext

Themen:

Behavior change
Behavior therapy
Digital health
Digital health technology
Digital technology
Health behavior
Journal Article
Physical and rehabilitation medicine
Research Support, Non-U.S. Gov't
Review
Scoping review
Stroke rehabilitation

Anmerkungen:

Date Completed 24.04.2024

Date Revised 26.04.2024

published: Electronic

Citation Status MEDLINE

doi:

10.2196/48725

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM371456622