Academic Journal
The Impact of Patient-Generated Health Data From Mobile Health Technologies on Health Care Management and Clinical Decision-Making: Narrative Scoping Review.
| Τίτλος: | The Impact of Patient-Generated Health Data From Mobile Health Technologies on Health Care Management and Clinical Decision-Making: Narrative Scoping Review. |
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| Συγγραφείς: | Keeling A; Centre for Mathematical Sciences, School of Engineering, Computing and Mathematics, University of Plymouth, Kirkby Place, Drake Circus, Plymouth, PL4 8AA, United Kingdom.; Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.; Leverhulme Centre for Demographic Science, University of Oxford, Oxford, United Kingdom., Downey J; Centre for Health Technology, School of Nursing and Midwifery, University of Plymouth, Plymouth, United Kingdom., Halkes M; Anaesthetics, Torbay and South Devon NHS Foundation Trust, Torbay, United Kingdom., Wei Y; Centre for Mathematical Sciences, School of Engineering, Computing and Mathematics, University of Plymouth, Kirkby Place, Drake Circus, Plymouth, PL4 8AA, United Kingdom.; Exeter Medical School, Faculty of Health and Life Sciences, University of Exeter, South Cloisters, St Luke's Campus, College Road, Exeter, EX1 2LU, United Kingdom, 0441392724929.; NIHR Applied Research Collaboration South West Peninsula, Exeter, United Kingdom. |
| Πηγή: | Journal of medical Internet research [J Med Internet Res] 2025 Dec 19; Vol. 27, pp. e77359. Date of Electronic Publication: 2025 Dec 19. |
| Τύπος έκδοσης: | Journal Article; Scoping Review |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: JMIR Publications Country of Publication: Canada NLM ID: 100959882 Publication Model: Electronic Cited Medium: Internet ISSN: 1438-8871 (Electronic) Linking ISSN: 14388871 NLM ISO Abbreviation: J Med Internet Res Subsets: MEDLINE |
| Imprint Name(s): | Publication: <2011- > : Toronto : JMIR Publications Original Publication: [Pittsburgh, PA? : s.n., 1999- |
| Ιατρικοί όροι (MeSH): | Telemedicine* , Clinical Decision-Making* , Patient Generated Health Data*, Humans |
| Περίληψη: | Background: Long-term health conditions and multimorbidity are increasing globally, placing an unsustainable pressure on health care systems. Mobile health (mHealth) technologies enable the collection of patient-generated health data outside clinical settings, offering the potential to support personalized care and inform clinical decision-making. However, the ways in which mHealth patient data are being used in clinical practice remain unclear. Objective: This study aimed to map and synthesize the existing literature on how patient-generated mHealth data are reportedly being used and influencing clinical decision-making for adults with long-term conditions in an outpatient care setting. Methods: A narrative scoping review was conducted on studies published between 2014 and 2025. Studies were eligible for inclusion if they were in English, had data on the use of patient-generated mHealth data, went beyond feasibility testing, and had reference to clinician behavior or patient interactions. Gray literature was not used to maintain a focus on peer-reviewed and published evidence. Studies involving pediatric or adolescent populations were excluded. Searches were conducted across the following databases between 2014 and 2025: Embase, MEDLINE, Knowledge and Library Hub, British Nursing Index, and ProQuest Health Research Premium Collection. Data were charted systematically and synthesized narratively. Key data included study characteristics, mHealth use, data types and visualizations, patient demographics, and the ways the data informed clinical decision-making. Results: A total of 16 studies met the inclusion requirements, which were primarily high-income countries focusing on rheumatoid arthritis and diabetes. The studies reported on how mHealth data were integrated into workflows, influenced health care decisions, and shaped patient-provider interactions. mHealth patient data were found to support patient-centered care and facilitate proactive holistic care, though in some instances, the data were shown to reinforce medical agendas removing agency from patients. There is also a gap between the intended use of the data and their implementation in clinical practice. The reported barriers included professional skepticism, integration challenges, and concerns about data accuracy. Evidence was focused on feasibility rather than long-term outcomes, with limited evidence on the impacts of mHealth. Conclusions: Patient-generated health data have the potential to enhance clinical decision-making and person-centered practices. However, integration into routine practice is hindered by technological challenges, professional hesitancy, and a lack of standardization. Future research should prioritize supporting integration, improve data presentation, and evaluate the long-term effects on clinical workflows. Addressing these barriers and establishing clear policy frameworks will be crucial for realizing the potential of mHealth in health care delivery. (© Ava Keeling, John Downey, Matthew Halkes, Yinghui Wei. Originally published in the Journal of Medical Internet Research (https://www.jmir.org).) |
| References: | J Rheumatol. 2016 Dec;43(12):2106-2112. (PMID: 27633823) BMC Cardiovasc Disord. 2022 Sep 29;22(1):428. (PMID: 36175861) Eur Respir J. 2014 Oct;44(4):1055-68. (PMID: 25142482) JMIR Form Res. 2021 Nov 3;5(11):e28329. (PMID: 34730545) J Am Med Inform Assoc. 2021 Apr 23;28(5):1051-1056. (PMID: 33822095) Ann Intern Med. 2018 Oct 2;169(7):467-473. (PMID: 30178033) Arthritis Res Ther. 2021 Apr 19;23(1):121. (PMID: 33874994) J Med Internet Res. 2022 Oct 18;24(10):e39584. (PMID: 36256831) J R Soc Med. 2024 Mar;117(3):104-117. (PMID: 37905525) Arthritis Res Ther. 2021 May 27;23(1):151. (PMID: 34044850) JMIR Hum Factors. 2016 Oct 19;3(2):e26. (PMID: 27760726) Curr Probl Pediatr Adolesc Health Care. 2021 Nov;51(11):101103. (PMID: 34799255) Patient Educ Couns. 2022 Mar;105(3):625-631. (PMID: 34238651) Appl Clin Inform. 2019 Oct;10(5):783-793. (PMID: 31618782) Rheumatol Int. 2023 Oct;43(10):1905-1911. (PMID: 37486433) Rheumatology (Oxford). 2020 Feb 1;59(2):367-378. (PMID: 31335942) J Med Internet Res. 2021 Jun 15;23(6):e26991. (PMID: 34128817) Nat Rev Dis Primers. 2022 Jul 14;8(1):48. (PMID: 35835758) Lancet. 2024 May 18;403(10440):2259-2262. (PMID: 38762327) JMIR Cancer. 2021 Mar 17;7(1):e26950. (PMID: 33729162) JAMIA Open. 2020 Dec 05;3(4):619-627. (PMID: 33758798) J Gen Intern Med. 2015 Aug;30(8):1063-70. (PMID: 25691239) Nurs Outlook. 2019 Jul - Aug;67(4):311-330. (PMID: 31277895) Arthritis Rheumatol. 2023 Nov;75(11):1892-1903. (PMID: 37204273) Mhealth. 2021 Jul 20;7:39. (PMID: 34345616) JBI Evid Synth. 2023 Mar 01;21(3):520-532. (PMID: 36081365) JAMIA Open. 2019 Nov 29;3(1):70-76. (PMID: 32607489) Digit Health. 2022 Oct 9;8:20552076221131140. (PMID: 36238753) ACR Open Rheumatol. 2022 Nov;4(11):964-973. (PMID: 36099161) Chest. 2020 Mar;157(3):654-664. (PMID: 31678305) Yearb Med Inform. 2014 Aug 15;9:170-6. (PMID: 25123739) Appl Nurs Res. 2020 Apr;52:151231. (PMID: 31955942) Malays J Med Sci. 2022 Jun;29(3):99-109. (PMID: 35846490) |
| Contributed Indexing: | Keywords: PRISMA; Preferred Reporting Items for Systematic Reviews and Meta-Analyses; clinical decision-making; health care management; long-term conditions; mobile health; multimorbidity; patient-generated health data; service design |
| Entry Date(s): | Date Created: 20251219 Date Completed: 20251219 Latest Revision: 20260112 |
| Update Code: | 20260130 |
| PubMed Central ID: | PMC12716635 |
| DOI: | 10.2196/77359 |
| PMID: | 41417964 |
| Βάση Δεδομένων: | MEDLINE |
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