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1.
JMIR Form Res ; 6(3): e32669, 2022 Mar 08.
Artigo em Inglês | MEDLINE | ID: mdl-35258462

RESUMO

BACKGROUND: Musculoskeletal conditions such as joint pain are a growing problem, affecting 18.8 million people in the United Kingdom. Digital health interventions (DHIs) are a potentially effective way of delivering information and supporting self-management. It is vital that the development of such interventions is transparent and can illustrate how individual components work, how they link back to the theoretical constructs they are attempting to change, and how this might influence outcomes. getUBetter is a DHI developed to address the lack of personalized, supported self-management tools available to patients with musculoskeletal conditions by providing knowledge, skills, and confidence to navigate through a self-management journey. OBJECTIVE: The aim of this study was to map a logic model of behavior change for getUBetter to illustrate how the content and functionality of the DHI are aligned with recognized behavioral theory, effective behavior change techniques, and clinical guidelines. METHODS: A range of behavior change models and frameworks were used, including the behavior change wheel and persuasive systems design framework, to map the logic model of behavior change underpinning getUBetter. The three main stages included understanding the behavior the intervention is attempting to change, identifying which elements of the intervention might bring about the desired change in behavior, and describing intervention content and how this can be optimally implemented. RESULTS: The content was mapped to 25 behavior change techniques, including information about health consequences, instruction on how to perform a behavior, reducing negative emotions, and verbal persuasion about capability. Mapping to the persuasive system design framework illustrated the use of a number of persuasive design principles, including tailoring, personalization, simulation, and reminders. CONCLUSIONS: This process enabled the proposed mechanisms of action and theoretical foundations of getUBetter to be comprehensively described, highlighting the key techniques used to support patients to self-manage their condition. These findings provide guidance for the ongoing evaluation of the effectiveness (including quality of engagement) of the intervention and highlight areas that might be strengthened in future iterations.

2.
Musculoskeletal Care ; 20(2): 271-278, 2022 06.
Artigo em Inglês | MEDLINE | ID: mdl-34859560

RESUMO

INTRODUCTION: Musculoskeletal (MSK) conditions are the leading cause of disability in the United Kingdom, leading to ever-growing waiting lists. Clinical guidelines highlight that most musculoskeletal conditions resolve in time and with little clinical input, and so supporting people to self-manage is recommended to optimise healthcare resources. Despite this, the term self-management remains ambiguous and to date no systematic review has evaluated if self-management is a suitable, acceptable, and effective intervention/strategy for managing all MSK conditions. METHODS AND ANALYSIS: This protocol is informed and reported in line with the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA). An advanced convergent qualitative meta-integration mixed-studies design will be used. Using a comprehensive predetermined search strategy, databases, key journals and grey literature will be searched independently by two reviewers. The reviewers will independently assess eligibility, complete data extraction, and evaluate for risk of bias using the Mixed Methods Appraisal Tool (MMAT). The overall quality of included studies will be evaluated using Grading of Recommendations, Assessment, Development and Evaluation (GRADE) guidelines. Data from mixed-methods studies will be transformed using a process of fractionation and analysed alongside the data extracted from the quantitative and qualitative studies, using descriptive analysis and thematic analysis, respectively. ETHICS AND DISSEMINATION: No research ethics are required for this systematic review since patient data will not be collected. The review will help to inform healthcare professionals and researchers on the most suitable, acceptable, and effective intervention/strategy for self-managing MSK conditions. Results of this review will be submitted for publication in a peer-reviewed journal and conference presentations.


Assuntos
Doenças Musculoesqueléticas , Sistema Musculoesquelético , Autogestão , Humanos , Doenças Musculoesqueléticas/terapia , Pesquisa Qualitativa , Projetos de Pesquisa , Revisões Sistemáticas como Assunto
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