End User and Implementer Experiences of mHealth Technologies for Noncommunicable Chronic Disease Management in Young Adults: Systematic Review
Open accessAbstract
BACKGROUND: Chronic noncommunicable diseases (NCDs) such as asthma, diabetes, cancer, and persistent musculoskeletal pain impose an escalating and unsustainable burden on young people, their families, and society. Exploring how mobile health (mHealth) technologies can support management for young people with NCDs is imperative. OBJECTIVE: The aim of this study was to identify, appraise, and synthesize available qualitative evidence on users' experiences of mHealth technologies for NCD management in young people. We explored the perspectives of both end users (young people) and implementers (health policy makers, clinicians, and researchers). METHODS: A systematic review and meta-synthesis of qualitative studies. Eligibility criteria included full reports published in peer-reviewed journals from January 2007 to December 2016, searched across databases including EMBASE, MEDLINE (PubMed), Scopus, and PsycINFO. All qualitative studies that evaluated the use of mHealth technologies to support young people (in the age range of 15-24 years) in managing their chronic NCDs were considered. Two independent reviewers identified eligible reports and conducted critical appraisal (based on the Joanna Briggs Institute Qualitative Assessment and Review Instrument: JBI-QARI). Three reviewers independently, then collaboratively, synthesized and interpreted data through an inductive and iterative process to derive emergent themes across the included data. External validity checking was undertaken by an expert clinical researcher and for relevant content, a health policy expert. Themes were subsequently subjected to a meta-synthesis, with findings compared and contrasted between user groups and policy and practice recommendations derived. RESULTS: Twelve studies met our inclusion criteria. Among studies of end users (N=7), mHealth technologies supported the management of young people with diabetes, cancer, and asthma. Implementer studies (N=5) covered the management of cognitive and communicative disabilities, asthma, chronic self-harm, and attention deficit hyperactivity disorder. Quality ratings were higher for implementer compared with end user studies. Both complementary and unique user themes emerged. Themes derived for end users of mHealth included (1) Experiences of functionality that supported self-management, (2) Acceptance (technical usability and feasibility), (3) Importance of codesign, and (4) Perceptions of benefit (self-efficacy and empowerment). For implementers, derived themes included (1) Characteristics that supported self-management (functional, technical, and behavior change); (2) Implementation challenges (systems level, service delivery level, and clinical level); (3) Adoption considerations for specific populations (training end users; specific design requirements); and (4) Codesign and tailoring to facilitate uptake and person-centered care. CONCLUSIONS: Synthesizing available data revealed both complementary and unique user perspectives on enablers and barriers to designing, developing, and implementing mHealth technologies to support young people's management of their chronic NCDs. TRIAL REGISTRATION: PROSPERO CRD42017056317; http://www.crd.york.ac.uk/PROSPERO/display_record.asp?ID=CRD 42017056317 (Archived by WebCite at http://www.webcitation.org/6vZ5UkKLp).
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Research on the experiences of stakeholders in a policy role is scarce, as is knowledge about the overlap between policy and public (service user) perspectives.
“Although several recent studies have identified factors that influence the perceptions of stakeholders in different populations [10-12], research on the experiences of stakeholders in a policy role is scarce, as is knowledge about the overlap between policy and public (service user) perspectives.”
From Perspectives of Policy Makers and Service Users Concerning the Implementation of eHealth in Sweden: Interview Study (2022) · cites this paper as [12]
Our findings align with two other studies reporting that telemonitoring is likely to improve patients' self-care and sense of security.
“Indeed, our findings align with two other studies reporting that telemonitoring is likely to improve patients’ self-care [28] and sense of security. [12]”
From Use of telemonitoring in patient self-management of chronic disease: a qualitative meta-synthesis (2023) · cites this paper as [28]
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- Authors
- Slater, H., Campbell, J. M., Stinson, J. N., Burley, M. M., & Briggs, A. M.
- Affiliations
- Curtin University (AU)
- The University of Adelaide (AU)
- University of Toronto (CA)
- Government of Western Australia (AU)
- Corresponding author
- Slater, Helen
- Venue
- Journal of Medical Internet Research
- Publisher
- JMIR Publications Inc.
- Published
- 2017-12-12
- Volume
- 19
- Issue
- 12
- Pages
- e406
- ISSN
- 1438-8871 (ISSN-L)
- PMC
- PMC5743925
- OpenAlex
- W2771212050
- Cited by
- 155
- References
- 78
- Citations by year
- 2026: 8 · 2025: 15 · 2024: 17 · 2023: 23 · 2022: 24 · 2021: 26 · 2020: 14 · 2019: 15 · 2018: 12 · 2016: 1
- FWCI
- 1.97
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Journal of Medical Internet Research (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion, cc-by)
- eSpace (Curtin University) (submittedVersion, cc-by)
- Funders
- Curtin University of Technology
- National Health and Medical Research Council (1132548)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Health Sciences › Health Professions › Health Information Management › Health, Technology, Consumer Behavior
- Keywords
- mobile health, non-communicable diseases, young adults, user experience, self-management, diabetes mellitus, asthma, cancer, attention deficit hyperactivity disorder, co-design, technology acceptance, implementation barriers, health policy, digital health adoption, empowerment, self-efficacy, behavior change, service delivery, health professions education
- MeSH terms
- Adolescent, Adult, Chronic Disease, Humans, Telemedicine, Qualitative Research, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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