谷歌浏览器插件
订阅小程序
在清言上使用

Why Do Patients Seek Diagnose Dis-accordance With Hierarchical Medical System Related Policies in Tertiary Hospitals? A Qualitative Study in Shanghai From the Perspective of Physicians

FRONTIERS IN PUBLIC HEALTH(2022)

引用 3|浏览4
暂无评分
摘要
BackgroundAlthough the Hierarchical Medical System has been utilized in China for many years, it is inadequate for guiding patients in adopting appropriate diagnose-seeking behaviors in accordance with related policies. This study examined how patients' diagnose-seeking behavior in tertiary hospitals that is dis-accordance with Hierarchical Medical System related policy ("DSB-dis-accordance") arise and ways to guide patients away from such behaviors, both from the perspective of physicians. MethodsA qualitative study based on a mixed method including in-depth interviews and grounded theory. Twenty-seven physicians with more than 2 years of experience serving in tertiary hospitals of Shanghai were involved after reviewing the related purposes and requirements. Patients' "DSB-dis-accordance" was studied from the perspective of physicians. ResultsPatient-related factors (habits, trust, and knowledge), physician-related factors (conservative preference, risk avoidance), and system-related factors (accessibility, operability) affected patients' diagnose-seeking behavior. ConclusionsPatient-related, physician-related, and system-related factors affecting patients' diagnose-seeking behaviors in tertiary hospitals should be addressed by investing more health resources in lower-level hospitals, enhancing dissemination of health-related and policy-related knowledge, refining the classification of diseases, incentivizing physicians, and developing appropriate follow-up measures. Physicians could then become more involved in guiding patients' "DSB-dis-accordance," thereby benefitting development of the Hierarchical Medical System in China.
更多
查看译文
关键词
diagnose-seeking behavior, tertiary hospitals, Hierarchical Medical System, reasons, qualitative study, grounded theory
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要