School of Health Sciences, University of Tampere, Finland.
Scand J Public Health. 2011 Jun;39(4):361-70. doi: 10.1177/1403494810396399. Epub 2011 Jan 26.
To describe and analyse municipal differences in health and social service use among old people in the last 2 years of life.
The data were derived from national registers. All those who died in 2002 or 2003 at the age of ≥ 70 years were included except those who lived in very small municipalities. The services included were different types of hospitals, long-term care, and home care. The variation in service use was described by coefficients of variation (CV). To analyse local differences, three-level (individual, municipal, and regional) binary logistic and Poisson regression analyses were performed.
A total of 67,027 decedents from 315 municipalities in 20 hospital districts were included. There was considerable variation in service use between residents of different municipalities, especially in the types of hospital used. Of the individual-level variables age and use of other services were associated (p < 0.05) with use of all services. Of the municipal-level variables, indicators describing the service pattern in the municipality were associated with use of all services and average age of decedents with most of the services. The presence of a university hospital in the hospital district increased the probability of using university and general hospitals, but among the users increased days in university hospital and decreased days in general hospital.
Considerable differences between municipalities exist, but these cannot be exhaustively explained. Behind the differences are probably factors which are difficult to describe and quantify, such as historical developments and political realities.
描述和分析老年人在生命最后 2 年中健康和社会服务使用的市级差异。
数据来源于国家登记处。所有在 2002 年或 2003 年 70 岁以上死亡的人都包括在内,除非他们居住在非常小的城市。所包括的服务包括不同类型的医院、长期护理和家庭护理。通过变异系数(CV)描述服务使用的变化。为了分析地方差异,进行了个体、市级和区域三级(个体、市级和区域)二元逻辑和泊松回归分析。
共纳入来自 20 个医院区的 315 个城市的 67027 名死者。不同城市的居民之间的服务使用存在很大差异,特别是在使用的医院类型上。在个体水平的变量中,年龄和其他服务的使用与所有服务的使用相关(p<0.05)。在市级变量中,描述该市服务模式的指标与所有服务以及大多数服务的死者平均年龄相关。医院区有一所大学医院增加了使用大学和综合医院的概率,但在使用者中,使用大学医院的天数增加,使用综合医院的天数减少。
存在着相当大的市级差异,但这些差异无法详尽解释。在这些差异的背后,可能存在着难以描述和量化的因素,如历史发展和政治现实。