Evidence map›Paper›PMID 40882221›Full record

ArticleJMIR human factors2025

Exploring Clinician Experiences With a Digital Platform Supporting Orthopedic Care That Integrates Patient-Generated Health Data: Qualitative Study of Early Users.

Dmitri S Katz, Daniel Gooch, Linda Price, Irum Rauf, Oliver Pearce, Blaine Price

Abstract read
In one paragraph

Article in JMIR human factors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Dmitri S KatzSchool of Computing and Communications, The Open University, Walton Hall, Milton Keynes, MK7 6AA, United Kingdom, 44 1908858234.ORCID 0000-0003-1345-7539
Daniel GoochSchool of Computing and Communications, The Open University, Walton Hall, Milton Keynes, MK7 6AA, United Kingdom, 44 1908858234.ORCID 0000-0003-1936-3103
Linda PriceSchool of Computing and Communications, The Open University, Walton Hall, Milton Keynes, MK7 6AA, United Kingdom, 44 1908858234.ORCID 0000-0001-5291-0469
Irum RaufSchool of Computing and Communications, The Open University, Walton Hall, Milton Keynes, MK7 6AA, United Kingdom, 44 1908858234.ORCID 0000-0002-6650-0679
Oliver PearceSchool of Computing and Communications, The Open University, Walton Hall, Milton Keynes, MK7 6AA, United Kingdom, 44 1908858234.ORCID 0000-0001-9584-1395
Blaine PriceSchool of Computing and Communications, The Open University, Walton Hall, Milton Keynes, MK7 6AA, United Kingdom, 44 1908858234.ORCID 0000-0002-2247-9804

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Digital care platforms that integrate patient-generated health data (PGHD) alongside education and communication tools have been recognized as potential instruments in transforming health care from clinician-centered to a more patient-centered approach. This transformation is driven by the potential of PGHD to provide deeper insights into patients' conditions, facilitate personalized care, improve patient quality of life, reduce inefficiencies in data collection, and empower patients. Yet, actual implementation within clinical settings is still at early stages; therefore, impacts on clinical care remain limited. Objective: This study sought to explore the benefits, challenges, and opportunities of integrating PGHD into orthopedic care by analyzing the reflections of early adopter surgeons and physiotherapists who have used a digital care management platform. Methods: This qualitative study used thematic analysis of interviews conducted with surgeons and physiotherapists (n=9) from a clinical unit that was among the first to trial "mymobility," an industry-produced software platform (Zimmer Biomet). The participants were recruited using snowball sampling, and interviews were conducted from June to July 2022. The interviews focused on work practices, use of digital tools, experiences with PGHD, and experiences with the mymobility software. Thematic analysis was conducted using NVivo software (QSR International Pty Ltd), focusing on identifying key themes and insights. Results: The study identified several benefits of integrating PGHD into orthopedic care, including improved patient education, enhanced communication and assessment, and increased patient motivation and adherence. However, several challenges were also noted, such as increased clinician workload, questionable data utility, lack of patient centricity, and inability to tailor software to clinical contexts. Suggested opportunities included improving dashboard design, personalizing physiotherapy, and using collected data for improving clinical care. Conclusions: The integration of PGHD into orthopedic care shows promise, largely in areas suggested by the literature. However, significant challenges remain. Future research should focus on addressing solvable challenges, such as improving software user interface design and functionality, while embracing the possibility that some challenges lack clear solutions and will likely require careful balancing of design tensions. The findings highlight the need for ongoing development and refinement of PGHD-inclusive systems to better support clinical practice and patient outcomes.

Indexed as

OrthopedicsPatient Generated Health DataPhysical TherapistsFemaleHumansMaleQualitative Researchclinician workloaddigital healthhealth informaticsorthopedic careorthopedicspatient-centered carepatient engagementpatient-generated health dataPGHDphysiotherapistsquality of liferemote monitoringsurgeons

Identifiers

PMID40882221
PMCPMC12396794

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.