Evidence map›Paper›PMID 39574802›Full record

ArticleDigital health

Analysis of the influencing factors and spatiotemporal evolution characteristics of telemedicine service supply: Empirical evidence from pilot cities in China.

Zhang Xueyu, Tan Huawei, Chen Yingchun

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Zhang XueyuSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China.ORCID https://orcid.org/0009-0002-3962-6337
Tan HuaweiSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China.
Chen YingchunSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Telemedicine is one of the major trends in the evolution of modern medicine. Telemedicine encompasses a wide range of services with different characteristics. Healthcare organisations know limited information on developing and utilising different types of telemedicine service programmes as well as factors and spatial and temporal characteristics that influence their development. Objective: To analyse the factors influencing the development of telemedicine, and to explore the priority order of different telemedicine services carried out by healthcare institutions, as well as the spatiotemporal evolution characteristics. Methods: This study selected Zunyi City, a national pilot city for telemedicine in China, and employed multinomial logistic regression to analyse factors influencing the provision of different types of telemedicine service programmes by healthcare institutions and evaluate the spatial and temporal evolutionary characteristics of spatially visualised telemedicine service programmes. Results: When the price of services increased, providers were more inclined to conduct teleconsultation (OR: 1.023) and telepathology (OR: 1.058) than tele-imaging, and the willingness to conduct telecardiology (OR: 0.775) and telemetry (OR: 0.997) was relatively low. Patients' out-of-pocket payments increased, and providers' willingness to conduct teleconsultations (OR: 49.401) and telepathology (OR: 5.039) increased. Healthcare organisations at higher level were more willing to carry out teleconsultation (OR: 14.052), telepathology (OR: 8.071) and telemetry (OR: 13.113). Compared with private hospitals, public hospitals were 17.760, 12.248 and 87.860 times more likely to conduct teleconsultations, telecardiology and telepathology than tele-imaging. The effectiveness of telemedicine development may be related to the level of local economic development. Conclusion: Medical institutions carry out telemedicine service programmes with a certain order of priority. Their decisions are often influenced by various factors such as price, out-of-pocket payment ratio and level and attribute of the healthcare organisation. The development of telemedicine may follow an inverted 'U' pattern with the level of regional economic development.

Indexed as

multinomial logistic regressiontelecardiographyteleconsultationtele-imagingtelemedicinetelemetrytelepathology

Identifiers

PMID39574802
PMCPMC11580079

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.