Evidence map›Paper›PMID 42912961›Full record

ArticleJMIR research protocols2026

Development of Guidelines for Hospital Adoption of Wearable Telemonitoring Systems in Chronic Disease Management: Protocol for a Multiphase Mixed Methods Study.

Janatarum Srihandono, Winny Setyonugroho, Adi Utarini

Abstract read
In one paragraph

Article in JMIR research protocols, 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
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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

3 authors.

Janatarum Srihandono *Department of Health Policy and Management, Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada, Jl. Farmako Sekip Utara, Senolowo, Sinduadi, Mlati, Sleman, Yogyakarta, 55281, Indonesia, 62 274 545458.ORCID http://orcid.org/0000-0003-1552-1717
Winny Setyonugroho *Department of Information Technology, Universitas Muhammadiyah Yogyakarta, Bantul, Yogyakarta, Indonesia.ORCID http://orcid.org/0000-0002-0073-3090
Adi Utarini *Department of Health Policy and Management, Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada, Jl. Farmako Sekip Utara, Senolowo, Sinduadi, Mlati, Sleman, Yogyakarta, 55281, Indonesia, 62 274 545458.ORCID http://orcid.org/0000-0002-3908-5975

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The integration of wearable device-based telemonitoring into hospital systems presents a transformative opportunity for chronic disease management, particularly in settings such as Indonesia facing a high burden of noncommunicable diseases. However, widespread adoption is hindered by multifaceted operational barriers, including workflow integration, data management, and unclear adoption pathways, highlighting a critical need for structured, evidence-based guidance. Objective: This study protocol aims to develop a role-specific adoption guideline for integrating wearable telemonitoring systems into routine workflow in Indonesian hospitals for chronic disease management. Methods: An exploratory sequential mixed methods design is employed across 3 phases. Phase 1 involves a critical interpretive synthesis of the literature to synthesize evidence on wearable technology adoption to populate the Domain-by-Actor matrix. Phase 2 comprises qualitative semistructured interviews with 32 to 44 key stakeholders (administrators, IT staff, and clinicians) from 4 purposively selected hospitals in Yogyakarta, Indonesia, to explore contextual barriers and facilitators. Phase 3 uses a modified nominal group technique with a panel of 12 experts to build consensus and finalize the guideline. Results: As of December 13, 2025, this study is in progress. Ethical approval has been obtained. The critical interpretive synthesis (phase 1) is completed, yielding preliminary thematic data on adoption factors. Data collection for the qualitative interviews (phase 2) has commenced, with interviews conducted at 1 hospital and administrative permissions secured for 2 sites. Recruitment and data collection are ongoing. Conclusions: This protocol offers a systematic methodology to bridge the gap between digital health pilot studies and routine use in clinical operations. By mapping complex adoption factors onto an anticipated Domain-by-Actor matrix, the proposed study has the potential to guide sustainable, role-specific wearable telemonitoring integration across diverse hospital structures.

Indexed as

Disease ManagementGuidelines as TopicTelemedicineWearable Electronic DevicesChronic DiseaseDigital HealthHospitalsHumansIndonesiaQualitative Researchchronic diseasediabetes mellitusguidelinehospitalsimplementation scienceIndonesiaremote monitoringtechnology adoptiontelemonitoringwearable devices

Identifiers

PMID42912961
PMCPMC13690334

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