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Research on Maternal Service Area and Referral System in Hubei Province, China

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单位: [1]Beijing Normal Univ, Fac Geog Sci, 19 XinJieKouWai St, Beijing 100875, Peoples R China [2]Huazhong Univ Sci & Technol, Tongji Hosp, Tongji Med Coll, Dept Obstet & Gynecol, 1095 Jiefang Rd, Wuhan 430030, Peoples R China [3]Sichuan Univ, West China Second Univ Hosp, Dept Obstet & Gynecol, Chengdu 610041, Peoples R China
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关键词: hospital service area hospital referral region hierarchical medical system dartmouth method

摘要:
Hospital service area (HSA) and Hospital referral region (HRR) are significant in organizing maternal care resources in hierarchical medical systems. This quantitative study aims to delineate HAS and HRR by using obstetrics medical record data reflecting patients' medical behavior to improve the efficiency of the utilization of medical resources. The Dartmouth method and an improved version that considers the administrative division was applied to delineate HSA and HRR by using the obstetrics medical records in Hubei Province of China in 2016. The result shows that 117 Dartmouth HSAs have a strong correlation with the county boundaries and 22 Dartmouth HRRs are highly coincident with the prefecture boundaries in Hubei. In addition, 25 improved Dartmouth HRRs within prefecture boundaries and core areas serving patients across prefecture boundaries have been identified. Based on the above results, two sets of hierarchical healthcare systems were constructed, respectively, which can provide methods and references for delineating HAS and HRR in the hierarchical medical systems in other regions of China and developing countries. The findings of this study shed light on future research and policymaking in the spatial organization of medical resources for improving the efficiency and equity in maternal care delivery.

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出版当年[2021]版:
大类 | 3 区 医学
小类 | 3 区 环境科学 3 区 公共卫生、环境卫生与职业卫生
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Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Q2 ENVIRONMENTAL SCIENCES
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第一作者单位: [1]Beijing Normal Univ, Fac Geog Sci, 19 XinJieKouWai St, Beijing 100875, Peoples R China
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