Evidence map›Paper›PMID 42862086›Full record

SynthesisJMIR mHealth and uHealth2026

Stakeholder Perspectives on Digital Health Technologies in Poststroke Self-Management and Rehabilitation: Systematic Review Based on the NASSS Framework.

Jing Zhao, Jie Zhao, Xiaohan Liu, Yongxin Cao, Xuan Wang, Yanhong Dong, Hong Chang

Abstract readSystematic ReviewReview
In one paragraph

Synthesis in JMIR mHealth and uHealth, 2026. 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

7 authors.

Jing ZhaoDepartment of Neurology, Xuanwu Hospital, Capital Medical University, No. 45 Changchun Street, Beijing, 100053, China, 86 13701034090.ORCID http://orcid.org/0009-0002-5490-9976
Jie ZhaoDepartment of Neurology, Xuanwu Hospital, Capital Medical University, No. 45 Changchun Street, Beijing, 100053, China, 86 13701034090.ORCID http://orcid.org/0009-0009-9962-5302
Xiaohan LiuDepartment of Neurology, Xuanwu Hospital, Capital Medical University, No. 45 Changchun Street, Beijing, 100053, China, 86 13701034090.ORCID http://orcid.org/0009-0003-5520-2558
Yongxin CaoDepartment of Neurology, Xuanwu Hospital, Capital Medical University, No. 45 Changchun Street, Beijing, 100053, China, 86 13701034090.ORCID http://orcid.org/0009-0005-5967-9075
Xuan WangDepartment of Neurology, Xuanwu Hospital, Capital Medical University, No. 45 Changchun Street, Beijing, 100053, China, 86 13701034090.ORCID http://orcid.org/0009-0000-4671-4381
Yanhong DongAlice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.ORCID http://orcid.org/0000-0002-3215-0164
Hong ChangDepartment of Neurology, Xuanwu Hospital, Capital Medical University, No. 45 Changchun Street, Beijing, 100053, China, 86 13701034090.ORCID http://orcid.org/0000-0002-6020-2726

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Digital health technologies (DHTs) offer opportunities to support poststroke self-management and rehabilitation, but their implementation may be hindered by mismatches between technological design, stakeholder needs, and care contexts. Synthesizing stakeholder perspectives can clarify implementation priorities and gaps in the evidence. Objective: This study aimed to synthesize stakeholders' perceptions, experiences, and recommendations regarding DHT implementation in poststroke self-management and rehabilitation and to map the findings to the NASSS (Nonadoption, Abandonment, Scale-Up, Spread, and Sustainability) framework. Methods: Six databases (PubMed, MEDLINE, Embase, Scopus, CINAHL, and Web of Science) were searched from inception through October 2025. Eligible studies were English-language, peer-reviewed primary studies using qualitative, quantitative, or mixed methods designs to report stakeholder perspectives on DHTs in poststroke care. Two reviewers independently screened studies, extracted data, and assessed methodological quality using the Mixed Methods Appraisal Tool (MMAT). A convergent integrated synthesis was conducted: quantitative findings were transformed into textual descriptors, combined with qualitative findings, coded inductively, and subsequently mapped deductively to NASSS domains and subdomains. Disagreements were resolved through consensus or by third-reviewer adjudication. Results: Of 15,262 records identified, 42 studies published between 2019 and 2025 were included: 24 qualitative, 8 quantitative, and 10 mixed methods studies. Patients, health care professionals, caregivers, and members of the public were represented in 32, 19, 8, and 3 studies, respectively, with some studies including multiple groups. Evidence concentrated on the condition, technology, value proposition, and adopter-system domains. Stakeholders valued personalized functions, intuitive interfaces, timely feedback, and digital support that complemented human care. Barriers included stroke-related motor, cognitive, communication, and sensory impairments; unequal digital access and literacy; caregiver demands; staff workload and training needs; and poor integration with clinical routines. Data privacy and unclear payment arrangements also raised concerns. Evidence on organizational readiness and wider-system determinants was limited, and no eligible study directly examined interaction and adaptation over time. Methodological concerns included nonresponse bias and insufficient interpretation of integrated findings in mixed methods studies. Conclusions: Stakeholder perspectives indicate that DHT implementation in poststroke care should combine accessible, personalized design with support for patients, caregivers, and health care professionals, alongside integration into clinical workflows and clear data governance and financing arrangements. The NASSS mapping identified priorities beyond usability, but current evidence does not establish sustained adoption, scale-up, or spread. Longitudinal studies in routine care are needed to evaluate adaptation and sustainability.

Indexed as

Self-ManagementStakeholder ParticipationStrokeStroke RehabilitationDigital HealthHumansPerceptionadoptiondigital health technologiesself-managementstrokestroke caresystematic review

Identifiers

PMID42862086
PMCPMC13656741

What OpenQuestion holds

Textmetadata
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.