Evidence map›Paper›PMID 38920080›Full record

ArticleCurrent aging science2025

Assessing Telemedicine Demand and Viability in Indonesian Geriatric Clinics: A Comprehensive HOT FIT and Sociotechnical Analysis

Dewi Shinta Kemala Sari, Nur Indrawati Lipoeto, Hafni Bachtiar, Indra Catri, Nina Kemala Sari, Rima Semiarty

Abstract read
In one paragraph

Article in Current aging science, 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.

Dewi Shinta Kemala SariFaculty of Medicine, Universitas Andalas, Padang, Indonesia.
Nur Indrawati LipoetoFaculty of Medicine, Universitas Andalas, Padang, Indonesia.
Hafni BachtiarFaculty of Medicine, Universitas Andalas, Padang, Indonesia.
Indra CatriFaculty of Medicine, Universitas Andalas, Padang, Indonesia.
Nina Kemala SariFaculty of Medicine, Universitas Indonesia, Indonesia.
Rima SemiartyFaculty of Medicine, Universitas Andalas, Padang, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe growing elderly population in Indonesia presents challenges for the healthcare system, prompting the exploration of telemedicine as a solution. However, its effective implementation in Indonesia faces obstacles

methodThis research aimed to develop a comprehensive geriatric telemedicine framework in Padang City by studying multiple stakeholders. We employed qualitative methods, including in-depth interviews, across two hospitals, a Health Office, and a Community Health Center, involving 18 elderly participants.

resultThe study identified ten key dimensions for geriatric telemedicine services: technology, Human-Computer Interface (HCI), infrastructure, system workflow, clinical content, people (diverse roles), organization (ecosystem, service workflow, internal and external regulations), and financing (social security agency on health and independent). We used the Human-Organization- Technology Fit and Sociotechnical System approaches for analysis.

conclusionThe study suggests implications for future implementation and advocates for broader participant involvement, information technology (IT) studies for system development, and longitudinal evaluations to assess the impact on elderly health outcomes.

Indexed as

GeriatricsHealth Services for the AgedHealth Services Needs and DemandTelemedicineAgedAged, 80 and overFemaleHumansIndonesiaMaleQualitative ResearchStakeholder ParticipationWorkflowgeriatricsgrounded theory.hospitalneedsTelemedicine

Identifiers

PMID38920080
PMCPMC11851141

What OpenQuestion holds

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Registered trials

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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.