Objective To evaluate the service efficiency of nursing homes in China from a medical care integration per-spective and analyze influencing factors.Methods The three-stage Data Envelopment Analysis(DEA)model was applied to e-liminate the influence of environmental factors to analyze the efficiency of nursing homes in various provinces in China.Addition-ally,a Tobit model was used to examine the determinants of efficiency.Results During the research period,the traditional DEA model overestimated the comprehensive efficiency and scale efficiency of nursing homes in 31 provinces,municipalities,and au-tonomous regions in China,and underestimated the pure technical efficiency.Environmental factors such as per capita GDP,the elderly dependency ratio,and the proportion of urban population impacted the input variables to significantly different extents,with a comprehensive efficiency score of 0.785,a pure technical efficiency score of 0.870,and a scale efficiency score of 0.901.Key influencing factors of the service efficiency of elderly care institutions included basic elderly care facilities,regional popula-tion size,residents'consumption capacity,degree of disability of the care recipients,quality of human resources,and capacity of medical services.Conclusion After eliminating the influence of environmental factors through the three-stage DEA,the efficien-cy evaluation is more accurate.The service efficiency of nursing homes varies across different regions in China:the eastern region exhibits the highest efficiency,followed by the central region and the western region.

Objective To evaluate the service efficiency of nursing homes in China from a medical care integration per-spective and analyze influencing factors.Methods The three-stage Data Envelopment Analysis(DEA)model was applied to e-liminate the influence of environmental factors to analyze the efficiency of nursing homes in various provinces in China.Addition-ally,a Tobit model was used to examine the determinants of efficiency.Results During the research period,the traditional DEA model overestimated the comprehensive efficiency and scale efficiency of nursing homes in 31 provinces,municipalities,and au-tonomous regions in China,and underestimated the pure technical efficiency.Environmental factors such as per capita GDP,the elderly dependency ratio,and the proportion of urban population impacted the input variables to significantly different extents,with a comprehensive efficiency score of 0.785,a pure technical efficiency score of 0.870,and a scale efficiency score of 0.901.Key influencing factors of the service efficiency of elderly care institutions included basic elderly care facilities,regional popula-tion size,residents'consumption capacity,degree of disability of the care recipients,quality of human resources,and capacity of medical services.Conclusion After eliminating the influence of environmental factors through the three-stage DEA,the efficien-cy evaluation is more accurate.The service efficiency of nursing homes varies across different regions in China:the eastern region exhibits the highest efficiency,followed by the central region and the western region.