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核心技术专利:CN118964589B侵权必究
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Development of a Digital Support Application With Evidence-Based Content for Sustainable Return to Work for Persons With Chronic Pain and Their Employers: User-Centered Agile Design Approach.

作者信息

Turesson Christina, Liedberg Gunilla, Björk Mathilda

机构信息

Division of Prevention, Rehabilitation and Community Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Norrköping, Sweden.

Pain and Rehabilitation Centre, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.

出版信息

JMIR Hum Factors. 2022 Mar 14;9(1):e33571. doi: 10.2196/33571.


DOI:10.2196/33571
PMID:35285814
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8961348/
Abstract

BACKGROUND: Persons with chronic pain experience a lack of support after completing rehabilitation and the responsibility for the return-to-work (RTW) process is taken over by the employer. In addition, employers describe not knowing how to support their employees. Smartphone apps have been increasingly used for self-management, but there is a lack of available eHealth apps with evidence-based content providing digital support for persons with chronic pain and their employers when they return to work. OBJECTIVE: This study aims to describe the development of a digital support application with evidence-based content that includes a biopsychosocial perspective on chronic pain for sustainable RTW for persons with chronic pain and their employers (SWEPPE [Sustainable Worker Digital Support for Persons With Chronic Pain and Their Employers]). METHODS: A user-centered agile design approach was applied. The multidisciplinary project team consisted of health care researchers, a user representative, and a software team. A total of 2 reference groups of 7 persons with chronic pain and 4 employers participated in the development process and usability testing. Mixed methods were used for data collection. The design was revised using feedback from the reference groups. The content of SWEPPE was developed based on existing evidence and input from the reference groups. RESULTS: The reference groups identified the following as important characteristics to include in SWEPPE: keeping users motivated, tracking health status and work situation, and following progress. SWEPPE was developed as a smartphone app for the persons with chronic pain and as a web application for their employers. SWEPPE consists of six modules: the action plan, daily self-rating, self-monitoring graphs, the coach, the library, and shared information with the employer. The employers found the following functions in SWEPPE to be the most useful: employees' goals related to RTW, barriers to RTW, support wanted from the employer, and the ability to follow employees' progress. The persons with chronic pain found the following functions in SWEPPE to be the most useful: setting a goal related to RTW, identifying barriers and strategies, and self-monitoring. Usability testing revealed that SWEPPE was safe, useful (ie, provided relevant information), logical, and easy to use with an appealing interface. CONCLUSIONS: This study reports the development of a digital support application for persons with chronic pain and their employers. SWEPPE fulfilled the need of support after an interdisciplinary pain rehabilitation program with useful functions such as setting a goal related to RTW, identification of barriers and strategies for RTW, self-monitoring, and sharing information between the employee and the employer. The user-centered agile design approach contributed to creating SWEPPE as a relevant and easy-to-use eHealth intervention. Further studies are needed to examine the effectiveness of SWEPPE in a clinical setting.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fd5/8961348/baa13b41afa2/humanfactors_v9i1e33571_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fd5/8961348/f14243139ae3/humanfactors_v9i1e33571_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fd5/8961348/de9ea9e02739/humanfactors_v9i1e33571_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fd5/8961348/baa13b41afa2/humanfactors_v9i1e33571_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fd5/8961348/f14243139ae3/humanfactors_v9i1e33571_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fd5/8961348/de9ea9e02739/humanfactors_v9i1e33571_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fd5/8961348/baa13b41afa2/humanfactors_v9i1e33571_fig3.jpg

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[4]
Evaluating the Clinical Use and Utility of a Digital Support App for Employees With Chronic Pain Returning to Work (SWEPPE): Observational Study.

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[5]
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[6]
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[7]
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[9]
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本文引用的文献

[1]
Qualitative Evidence from Studies of Interventions Aimed at Return to Work and Staying at Work for Persons with Chronic Musculoskeletal Pain.

J Clin Med. 2021-3-17

[2]
Mobile Application-Based Interventions for Chronic Pain Patients: A Systematic Review and Meta-Analysis of Effectiveness.

J Clin Med. 2020-11-5

[3]
Factors of importance for return to work, experienced by patients with chronic pain that have completed a multimodal rehabilitation program - a focus group study.

Disabil Rehabil. 2022-3

[4]
Consequences of Chronic Non-Cancer Pain in adulthood. Scoping Review.

Rev Saude Publica. 2020-4-17

[5]
The efficacy of e-health in the self-management of chronic low back pain: A meta analysis.

Int J Nurs Stud. 2020-6

[6]
Educating Patients by Providing Timely Information Using Smartphone and Tablet Apps: Systematic Review.

J Med Internet Res. 2020-4-13

[7]
A User-Centered Approach to an Evidence-Based Electronic Health Pain Management Intervention for People With Chronic Pain: Design and Development of EPIO.

J Med Internet Res. 2020-1-21

[8]
Outcome measures used in the smartphone applications for the management of low back pain: a systematic scoping review.

Health Inf Sci Syst. 2020-1-2

[9]
An Evaluation of the Effectiveness of the Modalities Used to Deliver Electronic Health Interventions for Chronic Pain: Systematic Review With Network Meta-Analysis.

J Med Internet Res. 2019-7-17

[10]
The work of return to work. Challenges of returning to work when you have chronic pain: a meta-ethnography.

BMJ Open. 2019-6-20

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