Academic Journal
Barriers and Enablers to Integrating Patient-Generated Health Data in Shared Decision-Making From Health Care Professional and Patient Perspectives: Scoping Review.
| Τίτλος: | Barriers and Enablers to Integrating Patient-Generated Health Data in Shared Decision-Making From Health Care Professional and Patient Perspectives: Scoping Review. |
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| Συγγραφείς: | V S Pakianathan P; Human-Centered Ubiquitous Media Group, Faculty of Mathematics, Informatics and Statistics, LMU Munich, Munich, Germany.; Ludwig Boltzmann Institute for Digital Health and Prevention, 22 Lindhofstrasse, Salzburg, 5020, Austria, 43 5725582701., Kumar D; The Maersk Mc-Kinney Moller Institute, The Faculty of Engineering, University of Southern Denmark, Odense, Denmark., Prabath J; Ludwig Boltzmann Institute for Digital Health and Prevention, 22 Lindhofstrasse, Salzburg, 5020, Austria, 43 5725582701.; University of Applied Sciences Technikum Wien, Vienna, Austria., Hussein R; Ludwig Boltzmann Institute for Digital Health and Prevention, 22 Lindhofstrasse, Salzburg, 5020, Austria, 43 5725582701., Niebauer J; Ludwig Boltzmann Institute for Digital Health and Prevention, 22 Lindhofstrasse, Salzburg, 5020, Austria, 43 5725582701.; University Institute of Sports Medicine, Prevention and Rehabilitation, Paracelsus Medical University, Salzburg, Salzburg, Austria., Schmidt A; Human-Centered Ubiquitous Media Group, Faculty of Mathematics, Informatics and Statistics, LMU Munich, Munich, Germany., Smeddinck J; Ludwig Boltzmann Institute for Digital Health and Prevention, 22 Lindhofstrasse, Salzburg, 5020, Austria, 43 5725582701. |
| Πηγή: | JMIR mHealth and uHealth [JMIR Mhealth Uhealth] 2026 Aug 10; Vol. 14, pp. e85197. Date of Electronic Publication: 2026 Aug 10. |
| Τύπος έκδοσης: | Journal Article; Scoping Review |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: JMIR Publications Inc Country of Publication: Canada NLM ID: 101624439 Publication Model: Electronic Cited Medium: Internet ISSN: 2291-5222 (Electronic) Linking ISSN: 22915222 NLM ISO Abbreviation: JMIR Mhealth Uhealth Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: Toronto: JMIR Publications Inc., [2013]- |
| Ιατρικοί όροι (MeSH): | Patient Generated Health Data*/standards , Patient Generated Health Data*/statistics & numerical data , Health Personnel*/psychology , Health Personnel*/statistics & numerical data , Patients*/psychology , Patients*/statistics & numerical data , Decision Making, Shared*, Patient Participation/methods ; Patient Participation/psychology ; Humans ; Digital Health |
| Περίληψη: | Background: Advances in sensor technologies and increased adoption of wearables and smartphones by individuals have led to an abundance of patient-generated health data (PGHD). This data, when used effectively, could help to further augment the process of shared decision-making (SDM) to enable patient-centered care. However, the possible integration and usage of PGHD introduces complexities and challenges, which warrant considering both health care professional (HCP) and patient perspectives. Objective: Summarize the relevant works from the past 10 years that reflect the perspectives of both HCPs and patients as key stakeholders on potential barriers and enablers to the integration of PGHD for SDM. We analyzed both perspectives to surface key challenges and opportunities with integrating PGHD throughout patient journeys, as well as clinical workflows. Methods: Electronic searches were done using 3 databases: PubMed, ACM Digital Library, and IEEE Xplore for papers published between March 2013 and March 2023. Enablers and barriers mentioned by the stakeholders in included papers were extracted and analyzed using thematic analysis. An existing six-stage workflow model for integrating PGHD was used as a reference for deductive coding. Subsequently, considering barriers and enablers faced by both the HCPs and patients uncovered various tensions and alignments of perspectives, which could be addressed in future work and can inform concepts, designs, and development in PGHD for SDM. Results: A total of 53 publications were included in the scoping review. Six main overarching themes for barriers and enablers were identified: (1) patient-provider relationship, (2) patient characteristics, (3) organizational factors, (4) medical ethics and law, (5) data-driven workflow, and (6) design and technology. The 6-stage workflow was further expanded based on the new findings to include 4 additional stages, which include contextual considerations outside of traditional clinical environments. In addition to partially corroborating previously established barriers in the 6-stage workflow model, several new barriers and enablers were identified throughout all stages. This model helps to further align the needs of HCPs and patients beyond the clinical setting and could benefit system designers who plan to integrate PGHD for SDM. Conclusions: This scoping review demonstrates that there are several factors to consider for effectively integrating PGHD into health-related SDM. Notably, such factors extend outside the boundaries of traditional clinical settings. Although there is agreement between HCPs and patients on certain factors, there are also tensions to be addressed. Our augmented 10-stage workflow model offers system designers an overview of the challenges and enablers to consider while designing for PGHD integration in clinical workflows and patient journeys to improve SDM. (© Pavithren V S Pakianathan, Devender Kumar, Jayathissa Prabath, Rada Hussein, Josef Niebauer, Albrecht Schmidt, Jan Smeddinck. Originally published in JMIR mHealth and uHealth (https://mhealth.jmir.org).) |
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| Contributed Indexing: | Keywords: data integration; PGHD; digital biomarkers; digital health; digital health interventions; mHealth; patient-generated health data; personal informatics; scoping review; shared decision-making; technologies |
| Entry Date(s): | Date Created: 20260810 Date Completed: 20260810 Latest Revision: 20260914 |
| Update Code: | 20260914 |
| PubMed Central ID: | PMC13456309 |
| DOI: | 10.2196/85197 |
| PMID: | 42574670 |
| Βάση Δεδομένων: | MEDLINE |
| ISSN: | 2291-5222 |
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| DOI: | 10.2196/85197 |