Influencing factors and prediction algorithms to estimate public preference for painless medical procedures in China: a national cross-sectional study
Objectives To 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 p...
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BMJ Publishing Group
2025-03-01
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| Series: | BMJ Open |
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| author | Xiangyang Guo Xiaoxiao Wang Yanan Song Chen Luo Zhengqian Li Wei You Sichen Liu Kaixi Liu |
| author_facet | Xiangyang Guo Xiaoxiao Wang Yanan Song Chen Luo Zhengqian Li Wei You Sichen Liu Kaixi Liu |
| author_sort | Xiangyang Guo |
| collection | DOAJ |
| description | Objectives To 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.Design A 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.Setting Peking University Third Hospital, China.Participants Members 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.Results Overall, 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.Conclusion The 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. |
| format | Article |
| id | doaj-art-1d44a4855dd943a2bbd25880f8e7b465 |
| institution | DOAJ |
| issn | 2044-6055 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | BMJ Publishing Group |
| record_format | Article |
| series | BMJ Open |
| spelling | doaj-art-1d44a4855dd943a2bbd25880f8e7b4652025-08-20T02:42:52ZengBMJ Publishing GroupBMJ Open2044-60552025-03-0115310.1136/bmjopen-2024-088015Influencing factors and prediction algorithms to estimate public preference for painless medical procedures in China: a national cross-sectional studyXiangyang Guo0Xiaoxiao Wang1Yanan Song2Chen Luo3Zhengqian Li4Wei You5Sichen Liu6Kaixi Liu7Department of Anesthesiology, Peking University Third Hospital, Beijing, ChinaResearch Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, ChinaPing An Healthcare Technology, Beijing, China1 Institute of Reproduction and Stem Cell Engineering, School of Basic Medical Science,Central South University, Changsha, People`s Republic of ChinaState Key Laboratory of Vascular Homeostasis and Remodeling, Department of Anesthesiology, Peking University Third Hospital, Beijing, ChinaDepartment of Neurosurgery, Beijing Tiantan Hospital and Beijing Neurosurgical Institute, Capital Medical University, Beijing, ChinaShanghai Eye Diseases Prevention and Treatment Center, Shanghai Eye Hospital, Tongji University, Shanghai, ChinaDepartment of Anesthesiology, Peking University Third Hospital, Beijing, ChinaObjectives To 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.Design A 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.Setting Peking University Third Hospital, China.Participants Members 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.Results Overall, 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.Conclusion The 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.https://bmjopen.bmj.com/content/15/3/e088015.full |
| spellingShingle | Xiangyang Guo Xiaoxiao Wang Yanan Song Chen Luo Zhengqian Li Wei You Sichen Liu Kaixi Liu Influencing factors and prediction algorithms to estimate public preference for painless medical procedures in China: a national cross-sectional study BMJ Open |
| title | Influencing factors and prediction algorithms to estimate public preference for painless medical procedures in China: a national cross-sectional study |
| title_full | Influencing factors and prediction algorithms to estimate public preference for painless medical procedures in China: a national cross-sectional study |
| title_fullStr | Influencing factors and prediction algorithms to estimate public preference for painless medical procedures in China: a national cross-sectional study |
| title_full_unstemmed | Influencing factors and prediction algorithms to estimate public preference for painless medical procedures in China: a national cross-sectional study |
| title_short | Influencing factors and prediction algorithms to estimate public preference for painless medical procedures in China: a national cross-sectional study |
| title_sort | influencing factors and prediction algorithms to estimate public preference for painless medical procedures in china a national cross sectional study |
| url | https://bmjopen.bmj.com/content/15/3/e088015.full |
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