Evidence map›Paper›PMID 40107695›Full record

ArticleBMJ open2025

Influencing factors and prediction algorithms to estimate public preference for painless medical procedures in China: a national cross-sectional study.

Xiaoxiao Wang, Chen Luo, Wei You, Sichen Liu, Kaixi Liu, Yanan Song, Xiangyang Guo, Zhengqian Li

Abstract read
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Xiaoxiao WangDepartment of Anesthesiology, Peking University Third Hospital, Beijing, China.ORCID http://orcid.org/0000-0002-3712-9823
Chen LuoDepartment of Anesthesiology, Peking University Third Hospital, Beijing, China.
Wei YouDepartment of Anesthesiology, Peking University Third Hospital, Beijing, China.
Sichen LiuDepartment of Intelligent Science, School of Advanced Technology, Xi'an Jiaotong-Liverpool University, Suzhou, China.
Kaixi LiuDepartment of Anesthesiology, Peking University Third Hospital, Beijing, China.
Yanan SongDepartment of Anesthesiology, Peking University Third Hospital, Beijing, China.
Xiangyang GuoDepartment of Anesthesiology, Peking University Third Hospital, Beijing, China zhengqianli@hsc.pku.edu.cn puthmzk@hsc.pku.edu.cn.ORCID http://orcid.org/0000-0002-6746-3929
Zhengqian LiDepartment of Anesthesiology, Peking University Third Hospital, Beijing, China zhengqianli@hsc.pku.edu.cn puthmzk@hsc.pku.edu.cn.ORCID http://orcid.org/0000-0001-6758-0685

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo improve the medical treatment process, the concept of comfortable medical care has been proposed. This concept has been fully implemented in developed countries, but there are still many restrictions on its promotion and implementation in developing countries. This study investigates public preferences about comfortable medical care and identifies the factors influencing these in China.

designA cross-sectional survey using an online questionnaire. We used multivariate logistic regression analysis to identify the factors influencing preferences for comfortable medical care and developed a prediction model of preferences for four types of this care among the general population.

settingPeking University Third Hospital, China.

participantsMembers of the general public with no medical or biomedical background. PRIMARY AND SECONDARY OUTCOME MEASURES: The measures included demographic information and attitudes towards four types of comfortable medical services. The primary outcome was attitude towards general anaesthesia.

resultsOverall, 5330 people participated in the survey. Nearly 80% would choose painless gastroenteroscopy, labour analgesia and postoperative analgesia. Interestingly, just 43.9% preferred general anaesthesia over regional anaesthesia. The impact of general anaesthesia on learning and memory (69.8%) was the most worrying issue. Younger people with higher education levels and incomes, and living in cities, preferred painless medical services. In the prediction model for general anaesthesia, the areas under the receiver operating characteristic curves were 0.790 (95% CI 0.776 to 0.804) in the development group and 0.777 (95% CI 0.754 to 0.799) in the internal validation group.

conclusionThe Chinese public has a good level of acceptance of comfortable medical care, although there are still many obstacles to its popularisation and promotion. Our prediction model could be used to screen the population for targeted popularisation work to expand the implementation of this approach.

Indexed as

Patient PreferencePublic OpinionAdolescentAdultAgedAlgorithmsChinaCross-Sectional StudiesFemaleHumansLogistic ModelsMaleMiddle AgedPrediction AlgorithmsSurveys and QuestionnairesYoung AdultAdult anaesthesiaANAESTHETICSPain management

Identifiers

PMID40107695
PMCPMC11927408

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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.