长期护理保险制度政策评价:基于PMC指数模型

目的:以首批9个试点城市的长期护理保险政策作为研究对象进行政策分析,探索上海等9个城市的政策特色,为完善长期护理保险政策提供建议。方法:基于PMC指数模型对9个试点城市的政策进行评价,结合气泡图分析政策制定的影响因素。结果:9个城市的PMC得分均值为6.922分,政策制定总体尚可,但政策时效及激励约束方面略显不足;政策制定与千人床位数、人均医疗保健支出构成比成正相关。结论:长期护理保险政策规划有待完善,可从政策体系完善、激励机制建立、医护资源配置等方面着手。

Evaluation of Long Term Care Insurance System Policy Based on PMC Index Model

Objective To study the long-term care insurance policies in the first nine pilot cities, and provide suggestions for improving the long-term care insurance policies. Methods Based on the PMC index model, the long-term care insurance policies of the nine pilot cities were evaluated, and its influencing factors were analyzed with a bubble chart. Results The average PMC score of nine pilot cities was 6.922. The overall policy formulation was acceptable, but the policy timeliness and incentive constraints were slightly inadequate. Policy formulation was positively related to the number of sickbeds per thousand people and per capita medical expenditure. Conclusion Long-term care insurance policy planning needs to be improved from the aspects of perfecting policy system, establishing incentive mechanism, and allocating medical resources.