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Using Intervention Mapping to Develop a Decision Support System-Based Smartphone App (selfBACK) to Support Self-management of Nonspecific Low Back Pain: Development and Usability Study.
Svendsen, Malene Jagd; Sandal, Louise Fleng; Kjær, Per; Nicholl, Barbara I; Cooper, Kay; Mair, Frances; Hartvigsen, Jan; Stochkendahl, Mette Jensen; Søgaard, Karen; Mork, Paul Jarle; Rasmussen, Charlotte.
Afiliação
  • Svendsen MJ; The National Research Centre for the Working Environment, Copenhagen, Denmark.
  • Sandal LF; Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark.
  • Kjær P; Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark.
  • Nicholl BI; Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark.
  • Cooper K; Health Sciences Research Centre, UCL University College, Odense, Denmark.
  • Mair F; Institute of Health and Wellbeing, General Practice & Primary Care, University of Glasgow, Glasgow, United Kingdom.
  • Hartvigsen J; School of Health Sciences, Robert Gordon University, Aberdeen, United Kingdom.
  • Stochkendahl MJ; Institute of Health and Wellbeing, General Practice & Primary Care, University of Glasgow, Glasgow, United Kingdom.
  • Søgaard K; Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark.
  • Mork PJ; Chiropractic Knowledge Hub, Odense, Denmark.
  • Rasmussen C; Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark.
J Med Internet Res ; 24(1): e26555, 2022 01 24.
Article em En | MEDLINE | ID: mdl-35072645
ABSTRACT

BACKGROUND:

International guidelines consistently endorse the promotion of self-management for people with low back pain (LBP); however, implementation of these guidelines remains a challenge. Digital health interventions, such as those that can be provided by smartphone apps, have been proposed as a promising mode of supporting self-management in people with chronic conditions, including LBP. However, the evidence base for digital health interventions to support self-management of LBP is weak, and detailed descriptions and documentation of the interventions are lacking. Structured intervention mapping (IM) constitutes a 6-step process that can be used to guide the development of complex interventions.

OBJECTIVE:

The aim of this paper is to describe the IM process for designing and creating an app-based intervention designed to support self-management of nonspecific LBP to reduce pain-related disability.

METHODS:

The first 5 steps of the IM process were systematically applied. The core processes included literature reviews, brainstorming and group discussions, and the inclusion of stakeholders and representatives from the target population. Over a period of >2 years, the intervention content and the technical features of delivery were created, tested, and revised through user tests, feasibility studies, and a pilot study.

RESULTS:

A behavioral outcome was identified as a proxy for reaching the overall program goal, that is, increased use of evidence-based self-management strategies. Physical exercises, education, and physical activity were the main components of the self-management intervention and were designed and produced to be delivered via a smartphone app. All intervention content was theoretically underpinned by the behavior change theory and the normalization process theory.

CONCLUSIONS:

We describe a detailed example of the application of the IM approach for the development of a theory-driven, complex, and digital intervention designed to support self-management of LBP. This description provides transparency in the developmental process of the intervention and can be a possible blueprint for designing and creating future digital health interventions for self-management.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Dor Lombar / Aplicativos Móveis / Autogestão Tipo de estudo: Qualitative_research Limite: Humans Idioma: En Revista: J Med Internet Res Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Dinamarca

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Dor Lombar / Aplicativos Móveis / Autogestão Tipo de estudo: Qualitative_research Limite: Humans Idioma: En Revista: J Med Internet Res Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Dinamarca