潜能模型广泛应用于就医空间可达性评价,现有模型综合了医疗设施服务能力、居民点人口数量、医疗设施与居民点之间的出行阻抗。在此基础上通过考虑"医疗设施不同等级规模对居民就医选择行为的影响"对模型进行修正。结果表明,改进的潜能模型能够更为合理地评价就医空间可达性,准确揭示居民实际所能获取的医疗资源,结合医疗资源配置相关标准,则能有效判定缺医地区,为政府相关部门规划决策提供依据。
Potential model has been widely applied in measurement of spatial accessibility to health care services, and such approach can be used to evaluate the fairness of the distribution of health care facilities. The existing formulas had integrated three main factors including the service capacity of health care facilities, the population in demands and travel impedance between population location and provider location. It is worth mentioned that a vital factor that the impact from the health care facilities with different levels (different grades and scales) to the selections of residents with some approximate service demands was considered in the study, and such factor was integrated into the existing formulas to improve the comprehensiveness and accuracy of potential model when measuring spatial accessibility. Based on the data of Rudong county in Jiangsu Province by the end of 2007 which refer to hospitals, residents, traffic network and so on, the improved potential model was applied to assess the variation of spatial accessibility to hospitals in Rudong county as positive area. Through the study, the following conclusions were reached: Based on the proper travel friction coefficients, the improved potential model proposed can be more reasonable and comprehensive to measure spatial accessibility to health care facilities, and can be accurate to reveal the health care resource quantity which any population location can access in the context of competition by those demanders due to travel impedance within certain threshold travel time, furthermore, health professional shortage areas of positive area can be defined effectively with certain standards developed by public health management sector, which can support the basis for decision-making of health service planning. On the whole, such approach was explored for spatial accessibility to health care services and the designation of health professional shortage areas by covering more factors closer to reality in this research.