Evidence map›Paper›PMID 40011865›Full record

ArticleBMC public health2025

Telehealth, medical decisions and new health inequality in China.

Zhaopeng Xu, Liuliu Zhou, Weibang Gu, Zhixin Yang, Lufa Zhang

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

5 authors.

Zhaopeng XuSchool of International and Public Affairs, Shanghai Jiao Tong University, Shanghai, 200030, China.
Liuliu ZhouDepartment of Gastroenterology, Chongming Branch, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 202157, China.
Weibang GuSchool of International and Public Affairs, Shanghai Jiao Tong University, Shanghai, 200030, China.
Zhixin YangChongming District Changxing Town Community Health Service Center, Shanghai, 201913, China.
Lufa ZhangSchool of International and Public Affairs, Shanghai Jiao Tong University, Shanghai, 200030, China. zhanglf@sjtu.edu.cn.

Funding

National Social Science Fund of China 22AZD082
6 · The paper itself

Abstract

backgroundThe widespread of telehealth has not only improved medical service accessibility and convenience, and has also played an active role in the COVID-19 Epidemic. This suggests that telehealth is becoming increasingly important in both normality and emergency. It is therefore essential to evaluate the use of the technology and its impact on the healthcare system.

objectiveThis paper studied the use of telehealth in China, the socio-demographic characteristics of users, its impact on patients' choice of first-visit, and potential health inequalities.

methodsWe obtained 14,944 valid questionnaires from a multistage stratified sample of 41 cities in the Yangtze River Delta, China, and multinomial logit was mainly used.

resultsThe utilization rate of telehealth in the study area was 10.43%. Residents that were younger, more educated, had higher household incomes, were more health literate, used more adequate medical insurance, ordered food delivery more often, and had chronic diseases were more likely to use telehealth. Residents who used telehealth had significantly higher odds of choosing high-level hospital instead of primary care provider as their first visit (B = 0.168, P < 0.05;B = 0.192, P < 0.05). And this substitution effect is more pronounced among the younger, more educated, and higher household income residents.

conclusionsTelehealth is still underutilized in China's actual healthcare services, and use of telehealth is more likely to be seen among younger, higher-income, and well-educated groups. The use of telehealth may lead residents to skip primary health care more easily and occupy secondary and tertiary health care inappropriately. It maybe impacts China's hierarchical medical system, and further leading to new potential health inequalities due to the "digital divide".

Indexed as

Healthcare DisparitiesHealth Status DisparitiesTelemedicineAdolescentAdultAgedChinaCOVID-19FemaleHumansMaleMiddle AgedSocioeconomic FactorsSurveys and QuestionnairesYoung AdultHealth inequalityMedical choiceTelehealthThe hierarchical medical system

Identifiers

PMID40011865
PMCPMC11866627

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.