Yongchuang Gao, Yuangeng Guo, Zhennan Wu, Wenhao Deng
{"title":"探索个人因素对中国北京居民接受初级医疗初诊意愿的影响:混合方法研究。","authors":"Yongchuang Gao, Yuangeng Guo, Zhennan Wu, Wenhao Deng","doi":"10.3390/healthcare12232451","DOIUrl":null,"url":null,"abstract":"<p><p><b>Background</b>: As the foundation and core strength of the healthcare system, the primary care initial diagnosis system has been receiving attention from both the medical and management communities. This study aimed to analyze residents' attitudes toward the system and explore the influencing factors relating to the system in Beijing; <b>Methods</b>: Different methods were used to analyze the multidimensional data. This study selected 610 Beijing residents to complete the survey and used a purposeful sampling method to recruit 15 participants aged 25 to 70 for face-to-face individual semi-structured interviews, using both quantitative and qualitative research methods to carry out statistical analysis. <b>Results</b>: The tie-breaking age of the interviewees was 46 years old, and the questionnaire showed that highly educated and aging populations had low willingness to undergo primary care initial diagnosis, 97.7% of chronic disease patients were unwilling to undergo primary care initial diagnosis, and different people have different levels of willingness to undergo primary care initial diagnosis. Factors such as level of confidence in the government and health literacy significantly affected residents' willingness. <b>Conclusions</b>: This study suggests that the government needs to foster a positive policy image and actively publicize policy content and effects to increase the confidence of the population in the government. Community health service centers need to use Internet technology to perform chronic disease archiving and management efficiently in order to solve the problems of chronic disease management. The government and hospitals need to focus on the characteristics of different groups of residents and enhance their health literacy so as to implement the primary care initial diagnosis policy.</p>","PeriodicalId":12977,"journal":{"name":"Healthcare","volume":"12 23","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Exploring the Impact of Personal Factors on Residents' Willingness to Undergo Primary Care Initial Diagnosis in Beijing, China: A Mixed Methods Research.\",\"authors\":\"Yongchuang Gao, Yuangeng Guo, Zhennan Wu, Wenhao Deng\",\"doi\":\"10.3390/healthcare12232451\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><b>Background</b>: As the foundation and core strength of the healthcare system, the primary care initial diagnosis system has been receiving attention from both the medical and management communities. This study aimed to analyze residents' attitudes toward the system and explore the influencing factors relating to the system in Beijing; <b>Methods</b>: Different methods were used to analyze the multidimensional data. This study selected 610 Beijing residents to complete the survey and used a purposeful sampling method to recruit 15 participants aged 25 to 70 for face-to-face individual semi-structured interviews, using both quantitative and qualitative research methods to carry out statistical analysis. <b>Results</b>: The tie-breaking age of the interviewees was 46 years old, and the questionnaire showed that highly educated and aging populations had low willingness to undergo primary care initial diagnosis, 97.7% of chronic disease patients were unwilling to undergo primary care initial diagnosis, and different people have different levels of willingness to undergo primary care initial diagnosis. Factors such as level of confidence in the government and health literacy significantly affected residents' willingness. <b>Conclusions</b>: This study suggests that the government needs to foster a positive policy image and actively publicize policy content and effects to increase the confidence of the population in the government. Community health service centers need to use Internet technology to perform chronic disease archiving and management efficiently in order to solve the problems of chronic disease management. The government and hospitals need to focus on the characteristics of different groups of residents and enhance their health literacy so as to implement the primary care initial diagnosis policy.</p>\",\"PeriodicalId\":12977,\"journal\":{\"name\":\"Healthcare\",\"volume\":\"12 23\",\"pages\":\"\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2024-12-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Healthcare\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.3390/healthcare12232451\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Healthcare","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3390/healthcare12232451","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
Exploring the Impact of Personal Factors on Residents' Willingness to Undergo Primary Care Initial Diagnosis in Beijing, China: A Mixed Methods Research.
Background: As the foundation and core strength of the healthcare system, the primary care initial diagnosis system has been receiving attention from both the medical and management communities. This study aimed to analyze residents' attitudes toward the system and explore the influencing factors relating to the system in Beijing; Methods: Different methods were used to analyze the multidimensional data. This study selected 610 Beijing residents to complete the survey and used a purposeful sampling method to recruit 15 participants aged 25 to 70 for face-to-face individual semi-structured interviews, using both quantitative and qualitative research methods to carry out statistical analysis. Results: The tie-breaking age of the interviewees was 46 years old, and the questionnaire showed that highly educated and aging populations had low willingness to undergo primary care initial diagnosis, 97.7% of chronic disease patients were unwilling to undergo primary care initial diagnosis, and different people have different levels of willingness to undergo primary care initial diagnosis. Factors such as level of confidence in the government and health literacy significantly affected residents' willingness. Conclusions: This study suggests that the government needs to foster a positive policy image and actively publicize policy content and effects to increase the confidence of the population in the government. Community health service centers need to use Internet technology to perform chronic disease archiving and management efficiently in order to solve the problems of chronic disease management. The government and hospitals need to focus on the characteristics of different groups of residents and enhance their health literacy so as to implement the primary care initial diagnosis policy.
期刊介绍:
Healthcare (ISSN 2227-9032) is an international, peer-reviewed, open access journal (free for readers), which publishes original theoretical and empirical work in the interdisciplinary area of all aspects of medicine and health care research. Healthcare publishes Original Research Articles, Reviews, Case Reports, Research Notes and Short Communications. We encourage researchers to publish their experimental and theoretical results in as much detail as possible. For theoretical papers, full details of proofs must be provided so that the results can be checked; for experimental papers, full experimental details must be provided so that the results can be reproduced. Additionally, electronic files or software regarding the full details of the calculations, experimental procedure, etc., can be deposited along with the publication as “Supplementary Material”.