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Gasteiger N, Norman G, Grainger R, Eost-Telling C, Jones D, Ali SM, van der Veer SN, Ford CR, Hall A, Law K, Byerly M, Davies A, Paripoorani D, Shi C, Dowding D. Reporting quality of published reviews of commercial and publicly available mobile health apps (mHealth app reviews): a scoping review protocol. BMJ Open 2024; 14:e083364. [PMID: 38964792 PMCID: PMC11227806 DOI: 10.1136/bmjopen-2023-083364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Accepted: 06/14/2024] [Indexed: 07/06/2024] Open
Abstract
INTRODUCTION Reviews of commercial and publicly available smartphone (mobile) health applications (mHealth app reviews) are being undertaken and published. However, there is variation in the conduct and reporting of mHealth app reviews, with no existing reporting guidelines. Building on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we aim to develop the Consensus for APP Review Reporting Items (CAPPRRI) guidance, to support the conduct and reporting of mHealth app reviews. This scoping review of published mHealth app reviews will explore their alignment, deviation, and modification to the PRISMA 2020 items for systematic reviews and identify a list of possible items to include in CAPPRRI. METHOD AND ANALYSIS We are following the Joanna Briggs Institute approach and Arksey and O'Malley's five-step process. Patient and public contributors, mHealth app review, digital health research and evidence synthesis experts, healthcare professionals and a specialist librarian gave feedback on the methods. We will search SCOPUS, CINAHL Plus, AMED, EMBASE, Medline, APA PsycINFO and the ACM Digital Library for articles reporting mHealth app reviews and use a two-step screening process to identify eligible articles. Information on whether the authors have reported, or how they have modified the PRISMA 2020 items in their reporting, will be extracted. Data extraction will also include the article characteristics, protocol and registration information, review question frameworks used, information about the search and screening process, how apps have been evaluated and evidence of stakeholder engagement. This will be analysed using a content synthesis approach and presented using descriptive statistics and summaries. This protocol is registered on OSF (https://osf.io/5ahjx). ETHICS AND DISSEMINATION Ethical approval is not required. The findings will be disseminated through peer-reviewed journal publications (shared on our project website and on the EQUATOR Network website where the CAPPRRI guidance has been registered as under development), conference presentations and blog and social media posts in lay language.
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Affiliation(s)
- Norina Gasteiger
- Division of Nursing, Midwifery & Social Work, The University of Manchester, Manchester, UK
- NIHR Applied Research Collaboration Greater Manchester, Manchester, UK
| | - Gill Norman
- Division of Nursing, Midwifery & Social Work, The University of Manchester, Manchester, UK
- NIHR Applied Research Collaboration Greater Manchester, Manchester, UK
- NIHR Innovation Observatory, Population Health Sciences Institute, Newcastle University, Newcastle, UK
| | - Rebecca Grainger
- Department of Medicine, University of Otago, Wellington, New Zealand
| | - Charlotte Eost-Telling
- Division of Nursing, Midwifery & Social Work, The University of Manchester, Manchester, UK
- NIHR Applied Research Collaboration Greater Manchester, Manchester, UK
| | - Debra Jones
- Division of Nursing, Midwifery & Social Work, The University of Manchester, Manchester, UK
| | - Syed Mustafa Ali
- NIHR Applied Research Collaboration Greater Manchester, Manchester, UK
- Centre for Health Informatics, Division of Informatics, Imaging & Data Sciences, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK
| | - Sabine N van der Veer
- NIHR Applied Research Collaboration Greater Manchester, Manchester, UK
- Centre for Health Informatics, Division of Informatics, Imaging & Data Sciences, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK
| | - Claire R Ford
- Division of Nursing, Midwifery & Social Work, The University of Manchester, Manchester, UK
| | - Alex Hall
- Division of Nursing, Midwifery & Social Work, The University of Manchester, Manchester, UK
| | - Kate Law
- Division of Nursing, Midwifery & Social Work, The University of Manchester, Manchester, UK
- The Christie Hospital NHS Trust, Manchester, UK
| | - Matthew Byerly
- The University of Kansas School of Medicine, Wichita, Kansas, USA
| | - Alan Davies
- Centre for Health Informatics, Division of Informatics, Imaging & Data Sciences, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK
| | - Deborah Paripoorani
- NIHR Applied Research Collaboration Greater Manchester, Manchester, UK
- EMERGING Research Team, Manchester Royal Infirmary, Manchester, UK
| | - Chunhu Shi
- Division of Nursing, Midwifery & Social Work, The University of Manchester, Manchester, UK
- NIHR Applied Research Collaboration Greater Manchester, Manchester, UK
| | - Dawn Dowding
- Division of Nursing, Midwifery & Social Work, The University of Manchester, Manchester, UK
- NIHR Applied Research Collaboration Greater Manchester, Manchester, UK
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Cargnin ZA, Schneider DG, de Souza MG, Vargas MADO, Tourinho FSV. Low back pain self-management mobile applications: a systematic review on digital platforms. Rev Esc Enferm USP 2024; 58:e20230326. [PMID: 38875500 PMCID: PMC11210980 DOI: 10.1590/1980-220x-reeusp-2023-0326en] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Accepted: 03/27/2024] [Indexed: 06/16/2024] Open
Abstract
OBJECTIVE To identify and analyze the features and quality of self-management support of mobile applications available in Brazil for chronic low back pain in adults. METHOD A systematic review on the Apple Store® and Google Play® digital platforms. The Self-Management Support Assessment Tool scale was used to assess self-management support and the Institute for Healthcare Informatics Functionality Score scale was used to assess functionality. RESULTS Seventeen applications were selected, which included around seven self-management skills. The applications that met the majority of self-management support skills were Pathways, Branch, Pancea, Pain Navigator, and Curable. The Curable, Branch and MoovButh applications had the highest scores, with ten features on the functionality scale. CONCLUSION Some applications have the potential to complement in-person treatment in terms of validity, acceptability and clinical usefulness in pain management. However, barriers such as lack of partnership between healthcare providers and patients, limited evidence-based content, social support, cultural relevance, cost, language, security and privacy can limit their sustained use. PROSPERO Registration: CRD42022382686.
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Affiliation(s)
- Zulamar Aguiar Cargnin
- Universidade Federal de Santa Catarina, Programa de Pós-Graduação em Enfermagem, Florianópolis, SC, Brazil
| | - Dulcinéia Ghizoni Schneider
- Universidade Federal de Santa Catarina, Faculdade de Enfermagem, Programa de Pós-Graduação em Enfermagem, Florianópolis, SC, Brazil
| | | | | | - Francis Solange Vieira Tourinho
- Universidade Federal de Santa Catarina, Faculdade de Enfermagem, Programa de Pós-Graduação em Enfermagem, Florianópolis, SC, Brazil
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Scholz C, Schmigalle P, Plessen CY, Liegl G, Vajkoczy P, Prasser F, Rose M, Obbarius A. The effect of self-management techniques on relevant outcomes in chronic low back pain: A systematic review and meta-analysis. Eur J Pain 2024; 28:532-550. [PMID: 38071425 DOI: 10.1002/ejp.2221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Revised: 11/03/2023] [Accepted: 11/23/2023] [Indexed: 03/19/2024]
Abstract
BACKGROUND AND OBJECTIVE Among many treatment approaches for chronic low back pain (CLBP), self-management techniques are becoming increasingly important. The aim of this paper was to (a) provide an overview of existing digital self-help interventions for CLBP and (b) examine the effect of these interventions in reducing pain intensity, pain catastrophizing and pain disability. DATABASES AND DATA TREATMENT Following the PRISMA guideline, a systematic literature search was conducted in the MEDLINE, EMBASE, PsychInfo, CINAHL and Cochrane databases. We included randomized controlled trials from the last 10 years that examined the impact of digital self-management interventions on at least one of the three outcomes in adult patients with CLBP (duration ≥3 months). The meta-analysis was based on random-effects models. Standardized tools were used to assess the risk of bias (RoB) for each study and the quality of evidence for each outcome. RESULTS We included 12 studies (n = 1545). A small but robust and statistically significant pooled effect was found on pain intensity (g = 0.24; 95% CI [0.09, 0.40], k = 12) and pain disability (g = 0.43; 95% CI [0.27, 0.59], k = 11). The effect on pain catastrophizing was not significant (g = 0.38; 95% CI [-0.31, 1.06], k = 4). The overall effect size including all three outcomes was g = 0.33 (95% CI [0.21, 0.44], k = 27). The RoB of the included studies was mixed. The quality of evidence was moderate or high. CONCLUSION In summary, we were able to substantiate recent evidence that digital self-management interventions are effective in the treatment of CLBP. Given the heterogeneity of interventions, further research should aim to investigate which patients benefit most from which approach. SIGNIFICANCE This meta-analysis examines the effect of digital self-management techniques in patients with CLBP. The results add to the evidence that digital interventions can help patients reduce their pain intensity and disability. A minority of studies point towards the possibility that digital interventions can reduce pain catastrophizing. Future research should further explore which patients benefit most from these kinds of interventions.
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Affiliation(s)
- C Scholz
- Department of Psychosomatic Medicine, Center for Internal Medicine and Dermatology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - P Schmigalle
- Department of Psychosomatic Medicine, Center for Internal Medicine and Dermatology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - C Y Plessen
- Department of Psychosomatic Medicine, Center for Internal Medicine and Dermatology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - G Liegl
- Department of Psychosomatic Medicine, Center for Internal Medicine and Dermatology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - P Vajkoczy
- Department for Neurosurgery with Pediatric Neurosurgery, Center for Neurology, Neurosurgery und Psychiatry, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - F Prasser
- Center of Health Data Sciences, Berlin Institut of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - M Rose
- Department of Psychosomatic Medicine, Center for Internal Medicine and Dermatology, Charité - Universitätsmedizin Berlin, Berlin, Germany
- Department of Quantitative Health Sciences, Medical School, University of Massachusetts, Boston, Massachusetts, USA
| | - A Obbarius
- Department of Psychosomatic Medicine, Center for Internal Medicine and Dermatology, Charité - Universitätsmedizin Berlin, Berlin, Germany
- BIH Charité Digital Clinician Scientist Program, Berlin Institute of Health, Charité - Universitätsmedizin Berlin, BIH Biomedical Innovation Academy, Berlin, Germany
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Turesson C, Liedberg G, Björk M. Evaluating the Clinical Use and Utility of a Digital Support App for Employees With Chronic Pain Returning to Work (SWEPPE): Observational Study. JMIR Hum Factors 2023; 10:e52088. [PMID: 38079212 PMCID: PMC10750230 DOI: 10.2196/52088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 10/17/2023] [Accepted: 10/25/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND The digital app SWEPPE (sustainable worker, a digital support for persons with chronic pain and their employers) was developed to improve the support of people with chronic pain in their return-to-work process after sick leave and includes functions such as the action plan, daily self-rating, self-monitoring graphs, the coach, the library, and shared information with the employer. OBJECTIVE This study aims to describe the use of the smartphone app SWEPPE among people with chronic pain who have participated in an interdisciplinary pain rehabilitation program. METHODS This is a case study including 16 people participating in a feasibility study. The analyses were based on user data collected for 3 months. Quantitative data regarding used functions were analyzed with descriptive statistics, and qualitative data of identified needs of support from the employer were grouped into 8 categories. RESULTS Self-monitoring was used by all participants (median 26, IQR 8-87 daily registrations). A total of 11 (N=16, 69%) participants set a work-related goal and performed weekly evaluations of goal fulfillment and ratings of their work ability. In total, 9 (56%) participants shared information with their employer and 2 contacted the coach. A total of 15 (94%) participants identified a total of 51 support interventions from their employer. Support to adapt to work assignments and support to adapt to work posture were the 2 biggest categories. The most common type of support identified by 53% (8/15) of the participants was the opportunity to take breaks and short rests. CONCLUSIONS Participants used multiple SWEPPE functions, such as daily self-registration, goal setting, self-monitoring, and employer support identification. This shows the flexible nature of SWEPPE, enabling individuals to select functions that align with their needs. Additional research is required to investigate the extended use of SWEPPE and how employers use shared employee information.
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Affiliation(s)
- Christina Turesson
- Division of Prevention, Rehabilitation and Community Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Gunilla Liedberg
- Division of Prevention, Rehabilitation and Community Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Mathilda Björk
- Pain and Rehabilitation Centre, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
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