N A M Suan, S A Soelar, R A Rani, N A Anuar, K A A Aziz, H K Chan, W K Cheah, S S M Sani, R M Said, M R A Hassan
{"title":"探索优化医院医生分配的测量工具。","authors":"N A M Suan, S A Soelar, R A Rani, N A Anuar, K A A Aziz, H K Chan, W K Cheah, S S M Sani, R M Said, M R A Hassan","doi":"","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Equitable healthcare delivery is essential and requires resources to be distributed, which include assets and healthcare workers. To date, there is no gold standard for measuring the correct number of physicians to meet healthcare needs. This rapid review aims to explore measurement tools employed to optimise the distribution of hospital physicians, with a focus on ensuring fair resource allocation for equitable healthcare delivery.</p><p><strong>Materials and methods: </strong>A literature search was performed across PubMed, EMBASE, Emerald Insight and grey literature sources. The key terms used in the search include 'distribution', 'method', and 'physician', focusing on research articles published in English from 2002 to 2022 that described methods or tools to measure hospital-based physicians' distribution. Relevant articles were selected through a two-level screening process and critically appraised. The primary outcome is the measurement tools used to assess the distribution of hospital-based physicians. Study characteristics, tool advantages and limitations were also extracted. The extracted data were synthesised narratively.</p><p><strong>Results: </strong>Out of 7,199 identified articles, 13 met the inclusion criteria. Among the selected articles, 12 were from Asia and one from Africa. The review identified eight measurement tools: Gini coefficients and Lorenz curve, Robin Hood index, Theil index, concentration index, Workload Indicator of Staffing Need method, spatial autocorrelation analysis, mixed integer linear programming model and cohortcomponent model. These tools rely on fundamental data concerning population and physician numbers to generate outputs. Additionally, five studies employed a combination of these tools to gain a comprehensive understanding of physician distribution dynamics.</p><p><strong>Conclusion: </strong>Measurement tools can be used to assess physician distribution according to population needs. Nevertheless, each tool has its own merits and limitations, underscoring the importance of employing a combination of tools. The choice of measuring tool should be tailored to the specific context and research objectives.</p>","PeriodicalId":39388,"journal":{"name":"Medical Journal of Malaysia","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Exploring measurement tools to optimise hospital physician distribution.\",\"authors\":\"N A M Suan, S A Soelar, R A Rani, N A Anuar, K A A Aziz, H K Chan, W K Cheah, S S M Sani, R M Said, M R A Hassan\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Equitable healthcare delivery is essential and requires resources to be distributed, which include assets and healthcare workers. To date, there is no gold standard for measuring the correct number of physicians to meet healthcare needs. This rapid review aims to explore measurement tools employed to optimise the distribution of hospital physicians, with a focus on ensuring fair resource allocation for equitable healthcare delivery.</p><p><strong>Materials and methods: </strong>A literature search was performed across PubMed, EMBASE, Emerald Insight and grey literature sources. The key terms used in the search include 'distribution', 'method', and 'physician', focusing on research articles published in English from 2002 to 2022 that described methods or tools to measure hospital-based physicians' distribution. Relevant articles were selected through a two-level screening process and critically appraised. The primary outcome is the measurement tools used to assess the distribution of hospital-based physicians. Study characteristics, tool advantages and limitations were also extracted. The extracted data were synthesised narratively.</p><p><strong>Results: </strong>Out of 7,199 identified articles, 13 met the inclusion criteria. Among the selected articles, 12 were from Asia and one from Africa. The review identified eight measurement tools: Gini coefficients and Lorenz curve, Robin Hood index, Theil index, concentration index, Workload Indicator of Staffing Need method, spatial autocorrelation analysis, mixed integer linear programming model and cohortcomponent model. These tools rely on fundamental data concerning population and physician numbers to generate outputs. Additionally, five studies employed a combination of these tools to gain a comprehensive understanding of physician distribution dynamics.</p><p><strong>Conclusion: </strong>Measurement tools can be used to assess physician distribution according to population needs. Nevertheless, each tool has its own merits and limitations, underscoring the importance of employing a combination of tools. The choice of measuring tool should be tailored to the specific context and research objectives.</p>\",\"PeriodicalId\":39388,\"journal\":{\"name\":\"Medical Journal of Malaysia\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Medical Journal of Malaysia\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Medical Journal of Malaysia","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
Exploring measurement tools to optimise hospital physician distribution.
Introduction: Equitable healthcare delivery is essential and requires resources to be distributed, which include assets and healthcare workers. To date, there is no gold standard for measuring the correct number of physicians to meet healthcare needs. This rapid review aims to explore measurement tools employed to optimise the distribution of hospital physicians, with a focus on ensuring fair resource allocation for equitable healthcare delivery.
Materials and methods: A literature search was performed across PubMed, EMBASE, Emerald Insight and grey literature sources. The key terms used in the search include 'distribution', 'method', and 'physician', focusing on research articles published in English from 2002 to 2022 that described methods or tools to measure hospital-based physicians' distribution. Relevant articles were selected through a two-level screening process and critically appraised. The primary outcome is the measurement tools used to assess the distribution of hospital-based physicians. Study characteristics, tool advantages and limitations were also extracted. The extracted data were synthesised narratively.
Results: Out of 7,199 identified articles, 13 met the inclusion criteria. Among the selected articles, 12 were from Asia and one from Africa. The review identified eight measurement tools: Gini coefficients and Lorenz curve, Robin Hood index, Theil index, concentration index, Workload Indicator of Staffing Need method, spatial autocorrelation analysis, mixed integer linear programming model and cohortcomponent model. These tools rely on fundamental data concerning population and physician numbers to generate outputs. Additionally, five studies employed a combination of these tools to gain a comprehensive understanding of physician distribution dynamics.
Conclusion: Measurement tools can be used to assess physician distribution according to population needs. Nevertheless, each tool has its own merits and limitations, underscoring the importance of employing a combination of tools. The choice of measuring tool should be tailored to the specific context and research objectives.
期刊介绍:
Published since 1890 this journal originated as the Journal of the Straits Medical Association. With the formation of the Malaysian Medical Association (MMA), the Journal became the official organ, supervised by an editorial board. Some of the early Hon. Editors were Mr. H.M. McGladdery (1960 - 1964), Dr. A.A. Sandosham (1965 - 1977), Prof. Paul C.Y. Chen (1977 - 1987). It is a scientific journal, published quarterly and can be found in medical libraries in many parts of the world. The Journal also enjoys the status of being listed in the Index Medicus, the internationally accepted reference index of medical journals. The editorial columns often reflect the Association''s views and attitudes towards medical problems in the country. The MJM aims to be a peer reviewed scientific journal of the highest quality. We want to ensure that whatever data is published is true and any opinion expressed important to medical science. We believe being Malaysian is our unique niche; our priority will be for scientific knowledge about diseases found in Malaysia and for the practice of medicine in Malaysia. The MJM will archive knowledge about the changing pattern of human diseases and our endeavours to overcome them. It will also document how medicine develops as a profession in the nation. We will communicate and co-operate with other scientific journals in Malaysia. We seek articles that are of educational value to doctors. We will consider all unsolicited articles submitted to the journal and will commission distinguished Malaysians to write relevant review articles. We want to help doctors make better decisions and be good at judging the value of scientific data. We want to help doctors write better, to be articulate and precise.