Nowadays hospitals have been at the forefront fighting against novel coronavirus pneumonia, with diagnosing and treating of patients as a top priority. In order to ensure the smooth progress of diagnosis and treatment, and prevent the occurrence of nosocomial infection, logistics support needs to make allowances for the isolation ward in time from the perspectives of logistics, facilities and equipment, and to transform the in-and-out double channels of ward access as required, thus setting up the partition of the three zones. Secondly, logistics support needs to optimize the logistics service workflow, including the medical waste management, the environmental disinfection isolation, and to optimize the catering service within hospitals to reduce the gathering and flow of personnel. Thirdly, logistics support needs to increase personnel training, and to eliminate psychological panic as well as to stabilize the logistics support team by putting logistics management cadres on the front line. Meanwhile, the logistics department needs to take over the hospital access screening work, strictly manage those who enter the hospital, maximize the safety and reliability of the logistics support within the hospital, and ensure the smooth progress of the epidemic prevention work. Key words: Hospitals; Novel coronavirus pneumonia; Logistical support; Process reengineering; Epidemic prevention
{"title":"Strategy of hospital logistic support to the battle against novel coronavirus pneumonia/ 中华医院管理杂志","authors":"Changgui Chen, Junfang Xuan, Xiaohua Huang, Hongyan Shou, Jinhong Fu, Gongyi Wang, Zhaobin Cai","doi":"10.3760/CMA.J.ISSN.1000-6672.2020.0002","DOIUrl":"https://doi.org/10.3760/CMA.J.ISSN.1000-6672.2020.0002","url":null,"abstract":"Nowadays hospitals have been at the forefront fighting against novel coronavirus pneumonia, with diagnosing and treating of patients as a top priority. In order to ensure the smooth progress of diagnosis and treatment, and prevent the occurrence of nosocomial infection, logistics support needs to make allowances for the isolation ward in time from the perspectives of logistics, facilities and equipment, and to transform the in-and-out double channels of ward access as required, thus setting up the partition of the three zones. Secondly, logistics support needs to optimize the logistics service workflow, including the medical waste management, the environmental disinfection isolation, and to optimize the catering service within hospitals to reduce the gathering and flow of personnel. Thirdly, logistics support needs to increase personnel training, and to eliminate psychological panic as well as to stabilize the logistics support team by putting logistics management cadres on the front line. Meanwhile, the logistics department needs to take over the hospital access screening work, strictly manage those who enter the hospital, maximize the safety and reliability of the logistics support within the hospital, and ensure the smooth progress of the epidemic prevention work. \u0000 \u0000Key words: \u0000Hospitals; Novel coronavirus pneumonia; Logistical support; Process reengineering; Epidemic prevention","PeriodicalId":56974,"journal":{"name":"中华医院管理杂志","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43450520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-01-02DOI: 10.3760/CMA.J.ISSN.1000-6672.2020.01.016
Y. Qian, Xiaohe Wang, Jie Chen, Jiajun Ren, Gangmei Cheng, Wen Pan
Objective Based on the KAP and Prospect theory, to explore, construct and verify the theoretical model and formation mechanism of driving factors of primary care doctors′ willingness to carry out the primary diagnosis. Methods Using the random cluster sampling method, from April to May 2019, a questionnaire survey was conducted among doctors at 20 primary medical and health service institutions in Hangzhou. The survey covered the primary care doctors′ cognition level of primary diagnosis, their self-evaluation of primary medical care capabilities, evaluation of policies and systems, expectation of primary medical care, and their job satisfaction. Descriptive statistic, multiple linear regression and structural equation model were used to analyze and explore the driving factors and formation mechanism of their willingness to carry out the primary diagnosis. Results Primary care doctors′ willingness rate for primary diagnosis was 76.4%(308/403). Positive expectation(beta=0.309), cognition level(beta=0.216), evaluation of policies and systems(beta=0.184), and self-evaluation of primary diagnosis capability(beta=0.170), all of which directly affect the said willingness. The total effect of the five types of driving factors on the willingness of the primary diagnosis was as follows: cognitive level of the primary diagnosis(0.536), evaluation of the policy system(0.494), self-evaluation of the primary diagnosis capability(0.436), positive expectations of the primary diagnosis work(0.186), job satisfaction(0.146). Conclusions The cognition of the primary diagnosis, the capability of the primary diagnosis, the policy system and the positive expectation are the important premises, key driving forces, and a strong guarantee and motivation to drive primary care doctors to carry out the primary diagnosis. It is suggested that the government and medical institutions should further improve the cognition level of primary care doctors, focusing on systematically improving the service capability of primary care doctors′ primary consultation, coordinating to improve policy guidance measures such as financial input, medical insurance reimbursement and referral system, establishing and improving incentive measures such as career development, performance appraisal, salary and welfare of primary care doctors. Key words: Initial diagnosis at primary level; Intention of initial diagnosis; Driving factors; Mechanism; Structural equation model
{"title":"Study on the driving factors and forming mechanism of the willingness for primary doctors to make initial diagnosis","authors":"Y. Qian, Xiaohe Wang, Jie Chen, Jiajun Ren, Gangmei Cheng, Wen Pan","doi":"10.3760/CMA.J.ISSN.1000-6672.2020.01.016","DOIUrl":"https://doi.org/10.3760/CMA.J.ISSN.1000-6672.2020.01.016","url":null,"abstract":"Objective \u0000Based on the KAP and Prospect theory, to explore, construct and verify the theoretical model and formation mechanism of driving factors of primary care doctors′ willingness to carry out the primary diagnosis. \u0000 \u0000 \u0000Methods \u0000Using the random cluster sampling method, from April to May 2019, a questionnaire survey was conducted among doctors at 20 primary medical and health service institutions in Hangzhou. The survey covered the primary care doctors′ cognition level of primary diagnosis, their self-evaluation of primary medical care capabilities, evaluation of policies and systems, expectation of primary medical care, and their job satisfaction. Descriptive statistic, multiple linear regression and structural equation model were used to analyze and explore the driving factors and formation mechanism of their willingness to carry out the primary diagnosis. \u0000 \u0000 \u0000Results \u0000Primary care doctors′ willingness rate for primary diagnosis was 76.4%(308/403). Positive expectation(beta=0.309), cognition level(beta=0.216), evaluation of policies and systems(beta=0.184), and self-evaluation of primary diagnosis capability(beta=0.170), all of which directly affect the said willingness. The total effect of the five types of driving factors on the willingness of the primary diagnosis was as follows: cognitive level of the primary diagnosis(0.536), evaluation of the policy system(0.494), self-evaluation of the primary diagnosis capability(0.436), positive expectations of the primary diagnosis work(0.186), job satisfaction(0.146). \u0000 \u0000 \u0000Conclusions \u0000The cognition of the primary diagnosis, the capability of the primary diagnosis, the policy system and the positive expectation are the important premises, key driving forces, and a strong guarantee and motivation to drive primary care doctors to carry out the primary diagnosis. It is suggested that the government and medical institutions should further improve the cognition level of primary care doctors, focusing on systematically improving the service capability of primary care doctors′ primary consultation, coordinating to improve policy guidance measures such as financial input, medical insurance reimbursement and referral system, establishing and improving incentive measures such as career development, performance appraisal, salary and welfare of primary care doctors. \u0000 \u0000 \u0000Key words: \u0000Initial diagnosis at primary level; Intention of initial diagnosis; Driving factors; Mechanism; Structural equation model","PeriodicalId":56974,"journal":{"name":"中华医院管理杂志","volume":"36 1","pages":"66-71"},"PeriodicalIF":0.0,"publicationDate":"2020-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42113412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-01-02DOI: 10.3760/CMA.J.ISSN.1000-6672.2020.01.004
Jie Zhao, Yixuan Yang, Tianlin Wang, Jinghong Gao, Yun-kai Zhai
The actor network theory, with reference to systems science, sociology and management science, offers a new perspective for research of the technology-society binary view. This theory as introduced by the authors, analyzed the constituent bodies and their relationship of the operation of the precise medical service system, and studied the translation process of the actor network. The analysis showed that the main factors affecting the operation of the precision medical service system were hospitals, patients, governments, scientific research institutions, technology-based enterprises, and universities, which were suppliers, demanders, managers, funders, and technical supporters of precision medical services. Among them, 82.72%(335/405) of clinicians believed that hospitals were the core actor that affected the operation of precision medical service system. 71.60%(290/405) of the clinicians thought that the training of medical workers was the current focus of the hospital, i. e., the mandatory access point for this actor network. Through training, the accurate medical service ability of medical workers and hospitals can be improved. Key words: Precision medicine; Service system; Actor network theory; Operation mechanism
{"title":"Research on operation mechanism of precision medical service system based on the actor network theory","authors":"Jie Zhao, Yixuan Yang, Tianlin Wang, Jinghong Gao, Yun-kai Zhai","doi":"10.3760/CMA.J.ISSN.1000-6672.2020.01.004","DOIUrl":"https://doi.org/10.3760/CMA.J.ISSN.1000-6672.2020.01.004","url":null,"abstract":"The actor network theory, with reference to systems science, sociology and management science, offers a new perspective for research of the technology-society binary view. This theory as introduced by the authors, analyzed the constituent bodies and their relationship of the operation of the precise medical service system, and studied the translation process of the actor network. The analysis showed that the main factors affecting the operation of the precision medical service system were hospitals, patients, governments, scientific research institutions, technology-based enterprises, and universities, which were suppliers, demanders, managers, funders, and technical supporters of precision medical services. Among them, 82.72%(335/405) of clinicians believed that hospitals were the core actor that affected the operation of precision medical service system. 71.60%(290/405) of the clinicians thought that the training of medical workers was the current focus of the hospital, i. e., the mandatory access point for this actor network. Through training, the accurate medical service ability of medical workers and hospitals can be improved. \u0000 \u0000 \u0000Key words: \u0000Precision medicine; Service system; Actor network theory; Operation mechanism","PeriodicalId":56974,"journal":{"name":"中华医院管理杂志","volume":"36 1","pages":"14-18"},"PeriodicalIF":0.0,"publicationDate":"2020-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42935500","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-01-02DOI: 10.3760/CMA.J.ISSN.1000-6672.2020.01.012
Chenyang Wang, Xi-long Pan, Manqi Wu, Yonggang Li
The combination of healthcare and artificial intelligence is an important direction of medical development. The authors summarized the application of artificial intelligence in such fields as diagnosis, treatment, prevention, scientific research, teaching among others. The analysis covers the problems and challenges facing the development of artificial intelligence, and looks forward to the application prospect of artificial intelligence. Key words: Information service; Artificial intelligence; Healthcare; Application area
{"title":"Analysis on the application status of artificial intelligence in healthcare","authors":"Chenyang Wang, Xi-long Pan, Manqi Wu, Yonggang Li","doi":"10.3760/CMA.J.ISSN.1000-6672.2020.01.012","DOIUrl":"https://doi.org/10.3760/CMA.J.ISSN.1000-6672.2020.01.012","url":null,"abstract":"The combination of healthcare and artificial intelligence is an important direction of medical development. The authors summarized the application of artificial intelligence in such fields as diagnosis, treatment, prevention, scientific research, teaching among others. The analysis covers the problems and challenges facing the development of artificial intelligence, and looks forward to the application prospect of artificial intelligence. \u0000 \u0000 \u0000Key words: \u0000Information service; Artificial intelligence; Healthcare; Application area","PeriodicalId":56974,"journal":{"name":"中华医院管理杂志","volume":"36 1","pages":"50-52"},"PeriodicalIF":0.0,"publicationDate":"2020-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45928322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
As a standard component in medical education in many countries, standardized patients have become professionals who provide valuable opportunities for training and evaluation of clinical skills among medical students and physicians. This paper reviewed the application of standardized patients in health care, discussed its advantages and disadvantages, and advocated continuation of in-depth research on standardized patients in China, and acceleration in the establishment of a formal system of standardized patients in medical education and health systems, so as to improve the quality of medical care. Key words: Medical education; Standardized patients; Health care; Application
{"title":"Progress in the applications of standardized patients in medical education and healthcare research","authors":"Jiahui Li, Cenyi Shao, Tai-Seale Ming, Zhiruo Zhang","doi":"10.3760/CMA.J.ISSN.1000-6672.2020.01.017","DOIUrl":"https://doi.org/10.3760/CMA.J.ISSN.1000-6672.2020.01.017","url":null,"abstract":"As a standard component in medical education in many countries, standardized patients have become professionals who provide valuable opportunities for training and evaluation of clinical skills among medical students and physicians. This paper reviewed the application of standardized patients in health care, discussed its advantages and disadvantages, and advocated continuation of in-depth research on standardized patients in China, and acceleration in the establishment of a formal system of standardized patients in medical education and health systems, so as to improve the quality of medical care. \u0000 \u0000 \u0000Key words: \u0000Medical education; Standardized patients; Health care; Application","PeriodicalId":56974,"journal":{"name":"中华医院管理杂志","volume":"36 1","pages":"72-76"},"PeriodicalIF":0.0,"publicationDate":"2020-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44427663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Objective To evaluate the medical services of tertiary hospitals in Shanxi province from the perspective of patients and provide references for improving the quality of medical services. Methods From April to December 2018, 1 358 patients at 8 tertiary hospitals in Shanxi province were selected for the survey of medical service quality evaluation scale based on patient experience, while the status quo of patient experience in tertiary hospitals in Shanxi province was evaluated, and the multivariate mixed linear model was constructed based on the three-level model of hospital-department-patient to analyze the relevant factors of patient experience. If the quantitative data conform to the normal distribution, it was expressed as ±s. Otherwise, it was expressed as M(QR). Results The patient experience score was 626±126, which was in the middle level. Whether the hospital was directly affiliated to the teaching hospital, and patient factors(marriage, occupation, education, medical insurance, number of hospital stays, etc.)were the main factors that affect the patient experience score(P<0.05). Conclusions Through the investigation, the influence characteristics of patients′ medical experience were discussed to improve the medical service and the overall service level. Key words: Health services administration; Tertiary hospitals; Patient experience; Influencing factors; Shanxi province
{"title":"Analysis on the experience of inpatients at tertiary hospitals in Shanxi province","authors":"Xiaocheng Wang, Zhi Zhao, Jingyi Zhao, Linger Shen, Wenjing Hao, Xiaoqiang Ren","doi":"10.3760/CMA.J.ISSN.1000-6672.2020.01.014","DOIUrl":"https://doi.org/10.3760/CMA.J.ISSN.1000-6672.2020.01.014","url":null,"abstract":"Objective \u0000To evaluate the medical services of tertiary hospitals in Shanxi province from the perspective of patients and provide references for improving the quality of medical services. \u0000 \u0000 \u0000Methods \u0000From April to December 2018, 1 358 patients at 8 tertiary hospitals in Shanxi province were selected for the survey of medical service quality evaluation scale based on patient experience, while the status quo of patient experience in tertiary hospitals in Shanxi province was evaluated, and the multivariate mixed linear model was constructed based on the three-level model of hospital-department-patient to analyze the relevant factors of patient experience. If the quantitative data conform to the normal distribution, it was expressed as ±s. Otherwise, it was expressed as M(QR). \u0000 \u0000 \u0000Results \u0000The patient experience score was 626±126, which was in the middle level. Whether the hospital was directly affiliated to the teaching hospital, and patient factors(marriage, occupation, education, medical insurance, number of hospital stays, etc.)were the main factors that affect the patient experience score(P<0.05). \u0000 \u0000 \u0000Conclusions \u0000Through the investigation, the influence characteristics of patients′ medical experience were discussed to improve the medical service and the overall service level. \u0000 \u0000 \u0000Key words: \u0000Health services administration; Tertiary hospitals; Patient experience; Influencing factors; Shanxi province","PeriodicalId":56974,"journal":{"name":"中华医院管理杂志","volume":"36 1","pages":"56-59"},"PeriodicalIF":0.0,"publicationDate":"2020-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69749259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-01-02DOI: 10.3760/CMA.J.ISSN.1000-6672.2020.01.013
Manqi Wu, Xi-long Pan, D. Cheng, Chenyang Wang, Yonggang Li
With the development of big data, the Internet and information technology, artificial intelligence is gradually being applied to the field of hospital management. The authors used advanced artificial intelligence technology to conduct structured collection and monitor the hospital′s current medical quality data, identifying key points and key events affecting medical quality and safety from the link, and providing medical personnel′s behavior with pre-warning, process monitoring and post-evaluation to improve hospital medical quality management. Key words: Information service; Artificial intelligence; Medical quality; Medical safety; Auxiliary system
{"title":"Discussions on medical quality monitoring auxiliary system based on clinical big data","authors":"Manqi Wu, Xi-long Pan, D. Cheng, Chenyang Wang, Yonggang Li","doi":"10.3760/CMA.J.ISSN.1000-6672.2020.01.013","DOIUrl":"https://doi.org/10.3760/CMA.J.ISSN.1000-6672.2020.01.013","url":null,"abstract":"With the development of big data, the Internet and information technology, artificial intelligence is gradually being applied to the field of hospital management. The authors used advanced artificial intelligence technology to conduct structured collection and monitor the hospital′s current medical quality data, identifying key points and key events affecting medical quality and safety from the link, and providing medical personnel′s behavior with pre-warning, process monitoring and post-evaluation to improve hospital medical quality management. \u0000 \u0000 \u0000Key words: \u0000Information service; Artificial intelligence; Medical quality; Medical safety; Auxiliary system","PeriodicalId":56974,"journal":{"name":"中华医院管理杂志","volume":"36 1","pages":"53-55"},"PeriodicalIF":0.0,"publicationDate":"2020-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42295462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Objective To explore the formation mechanism of the weakening of village clinic′s medical service capacity in the context of new medical reform. Methods Purposive sampling method was used to enroll 38 rural doctors and managers of rural health centers and health offices in the interview from October 2015 to November 2015. And grounded theory was adopted to analyze reasons and their mechanism of the weakening of village clinic′ s medical service capacity. Results 29 first-grade categories and 7 second-grade categories were worked out in text encoding. With the implementation of the ongoing healthcare reform, support from financial, policy and technology increased significantly, but due to the synthetic action of unexpected negative effects of the reform, superposition and accumulation of disturbance and ineffective support, village clinic′ s medical service capacity began to weaken. Conclusions The weakened village clinic′ s medical service capacity is a result of the synthetic action of 3 reasons. The persistence of this status will intensify the vulnerability of rural health service system and be bad for the implementation of hierarchical medical policy and the strategy of rural vitalization. Measures should be taken to optimization the essential medicine system, establish a comprehensive assessment mechanism for basic medical service and basic public health service of village clinic, strength the strategic purchasing of medical insurance, improve the financial compensation mechanism, and complete training system of village doctors, aims to promoting sustainable development of village clinic. Key words: Village clinic; Village doctor; Medical service; Grounded theory; Vulnerability; Shandong province
{"title":"Formation mechanism of the weakening of village clinic′ s medical service capacity in Shandong province","authors":"Zhongming Chen, Guifang Ren, Wenqiang Yin, Lingyu Li, Dong-mei Huang, Hongwei Guo, Lili Zhu","doi":"10.3760/CMA.J.ISSN.1000-6672.2020.01.008","DOIUrl":"https://doi.org/10.3760/CMA.J.ISSN.1000-6672.2020.01.008","url":null,"abstract":"Objective \u0000To explore the formation mechanism of the weakening of village clinic′s medical service capacity in the context of new medical reform. \u0000 \u0000 \u0000Methods \u0000Purposive sampling method was used to enroll 38 rural doctors and managers of rural health centers and health offices in the interview from October 2015 to November 2015. And grounded theory was adopted to analyze reasons and their mechanism of the weakening of village clinic′ s medical service capacity. \u0000 \u0000 \u0000Results \u000029 first-grade categories and 7 second-grade categories were worked out in text encoding. With the implementation of the ongoing healthcare reform, support from financial, policy and technology increased significantly, but due to the synthetic action of unexpected negative effects of the reform, superposition and accumulation of disturbance and ineffective support, village clinic′ s medical service capacity began to weaken. \u0000 \u0000 \u0000Conclusions \u0000The weakened village clinic′ s medical service capacity is a result of the synthetic action of 3 reasons. The persistence of this status will intensify the vulnerability of rural health service system and be bad for the implementation of hierarchical medical policy and the strategy of rural vitalization. Measures should be taken to optimization the essential medicine system, establish a comprehensive assessment mechanism for basic medical service and basic public health service of village clinic, strength the strategic purchasing of medical insurance, improve the financial compensation mechanism, and complete training system of village doctors, aims to promoting sustainable development of village clinic. \u0000 \u0000 \u0000Key words: \u0000Village clinic; Village doctor; Medical service; Grounded theory; Vulnerability; Shandong province","PeriodicalId":56974,"journal":{"name":"中华医院管理杂志","volume":"36 1","pages":"32-36"},"PeriodicalIF":0.0,"publicationDate":"2020-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44783292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Objective To evaluate the new compensation mechanism for primary healthcare institutions in Zhejiang province, in terms of fairness, performance, incentive mechanism and sustainability in pilot areas. Methods Evaluation indicators were constructed based on stakeholder theory, fairness theory, expectation theory and sustainable development theory.Focus group interviews were conducted with stakeholders and quantitative data were collected through questionnaires. Meanwhile, the financial compensation, income and expenditure and work equivalent data were collected from such institutions of the four pilot areas, with quantitative data subject to descriptive analysis. Results This study found the reform used reasonable proportion of funds allocated(the proportion of basic salary for employees was lower than 50%)and adjustment factors(1.0-1.8)of different primary healthcare institutions to guarantee the fairness of the reform; the increase of work equivalents(the per capita work equivalents of medical staff in pilot counties had increased from 38.435 million in the previous year to 42.590 million work equivalents)reflected the performance outcomes of the reform. The incentive and sustainability of the reforms were the weak parts. These were mainly due to the fact that the internal distribution system of primary healthcare institutions failed to make corresponding reforms. Conclusions The reform of the compensation mechanism based on the equivalent method has changed medical staff′s perception of the distribution of funds. The principle of" more pay for more work" and the use of information technology to capture work equivalents have improved the enthusiasm of primary medical staff and the operational efficiency of these institutions, thus, making reform generally scientific and reasonable. Key words: Primary healthcare institutions; Compensation mechanisms; Work equivalents; Evaluation; Zhejiang province
{"title":"Study on compensation mechanism reform of primary healthcare institutions in Zhejiang province","authors":"Minzhuo Huang, Yuanyuan Li, Xiaoqian Hu, Yuxuan Gu, X. Zhen, Xueshan Sun, Jingming Wei","doi":"10.3760/CMA.J.ISSN.1000-6672.2020.01.002","DOIUrl":"https://doi.org/10.3760/CMA.J.ISSN.1000-6672.2020.01.002","url":null,"abstract":"Objective \u0000To evaluate the new compensation mechanism for primary healthcare institutions in Zhejiang province, in terms of fairness, performance, incentive mechanism and sustainability in pilot areas. \u0000 \u0000 \u0000Methods \u0000Evaluation indicators were constructed based on stakeholder theory, fairness theory, expectation theory and sustainable development theory.Focus group interviews were conducted with stakeholders and quantitative data were collected through questionnaires. Meanwhile, the financial compensation, income and expenditure and work equivalent data were collected from such institutions of the four pilot areas, with quantitative data subject to descriptive analysis. \u0000 \u0000 \u0000Results \u0000This study found the reform used reasonable proportion of funds allocated(the proportion of basic salary for employees was lower than 50%)and adjustment factors(1.0-1.8)of different primary healthcare institutions to guarantee the fairness of the reform; the increase of work equivalents(the per capita work equivalents of medical staff in pilot counties had increased from 38.435 million in the previous year to 42.590 million work equivalents)reflected the performance outcomes of the reform. The incentive and sustainability of the reforms were the weak parts. These were mainly due to the fact that the internal distribution system of primary healthcare institutions failed to make corresponding reforms. \u0000 \u0000 \u0000Conclusions \u0000The reform of the compensation mechanism based on the equivalent method has changed medical staff′s perception of the distribution of funds. The principle of\" more pay for more work\" and the use of information technology to capture work equivalents have improved the enthusiasm of primary medical staff and the operational efficiency of these institutions, thus, making reform generally scientific and reasonable. \u0000 \u0000 \u0000Key words: \u0000Primary healthcare institutions; Compensation mechanisms; Work equivalents; Evaluation; Zhejiang province","PeriodicalId":56974,"journal":{"name":"中华医院管理杂志","volume":"36 1","pages":"5-9"},"PeriodicalIF":0.0,"publicationDate":"2020-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45225729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Objective To define the connotation of village doctors′ vulnerability. Methods On the basis of document analysis, Delphic method was used to consult and argument the connotation of village doctors′ vulnerability from October 2015 to November 2015. Results Twenty and 16 specialists were consulted in two rounds of the consulting. According to these consultations, the acceptance rate of the specialists for the seven consulting units increased from 74.29% to 93.16%. Conclusions The vulnerability of village doctors was identified, as a status in which their self-ability and support against their exterior environment could not to cope with the disturbances they faced, while the vulnerability was co-determined by disturbance and response ability of village doctors. Key words: Health human resource; Village doctor; Vulnerability; Connotation
{"title":"Connotation of village doctors′ vulnerability based on Delphi method","authors":"Wenqiang Yin, Ziying Chen, Longde Zhou, Cheng Cheng, Hongwei Guo, Dong-mei Huang, Qianqian Yu, Lili Zhu, Zhongming Chen","doi":"10.3760/CMA.J.ISSN.1000-6672.2020.01.006","DOIUrl":"https://doi.org/10.3760/CMA.J.ISSN.1000-6672.2020.01.006","url":null,"abstract":"Objective \u0000To define the connotation of village doctors′ vulnerability. \u0000 \u0000 \u0000Methods \u0000On the basis of document analysis, Delphic method was used to consult and argument the connotation of village doctors′ vulnerability from October 2015 to November 2015. \u0000 \u0000 \u0000Results \u0000Twenty and 16 specialists were consulted in two rounds of the consulting. According to these consultations, the acceptance rate of the specialists for the seven consulting units increased from 74.29% to 93.16%. \u0000 \u0000 \u0000Conclusions \u0000The vulnerability of village doctors was identified, as a status in which their self-ability and support against their exterior environment could not to cope with the disturbances they faced, while the vulnerability was co-determined by disturbance and response ability of village doctors. \u0000 \u0000 \u0000Key words: \u0000Health human resource; Village doctor; Vulnerability; Connotation","PeriodicalId":56974,"journal":{"name":"中华医院管理杂志","volume":"36 1","pages":"23-26"},"PeriodicalIF":0.0,"publicationDate":"2020-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42751931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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