Alberdi-Ordiozola J C, Sáenz-Bajo N
Subdirección General de Planificación Sanitaria, Dirección General de la Red Sanitaria Unica de Utilización Pública, Consejería de Sanidad y Consumo de la Comunidad de Madrid, Madrid, Spain.
Aten Primaria. 2006 Mar 31;37(5):253-7. doi: 10.1157/13086305.
Identification of the variables relative to the population characteristics and the primary and specialised care services provision which determine the referral rates between both levels.
Cross-sectional ecological study.
Basic health zones (BHZ) of the Community of Madrid (CAM), Spain, 2001.
Population of the CAM.
Dependent variable: population referral rate (PRR) (referrals per BHZ in 2001 divided by BHZ population).
population and their characteristics (income, unemployment, educational level, elderly and dependence level, marital status, immigrant rates); need of services (care frequency index and standardised mortality rate); primary care provision characteristics (number of doctors, distribution by age and sex, organisational model, number of years in primary care; specialised care provision characteristics (number of laboratory specialists, ratio of radio-diagnostic and clinical services doctors).
The average PRR is 31.9 (0.87) per 100 inhabitants, with a tendency for similar values to group into three clusters. Five components which explain 81.87% of the variation have been identified: total population, demographic characteristics, socioeconomic status, need of services, and social mobility. In the regression analysis (R2=0.18), the last 3 reach statistical significance.
The PRR is greater in the BHZ with higher levels of need of services and lower levels of socioeconomic status and social mobility. There is no relationship with either the provision or the organisation of primary care and specialised care. These variables should be included in the planning of the provision of services.
确定与人群特征以及决定两级医疗转诊率的初级和专科护理服务提供相关的变量。
横断面生态研究。
西班牙马德里自治区(CAM)的基本卫生区(BHZ),2001年。
CAM的人群。
因变量:人群转诊率(PRR)(2001年每个BHZ的转诊人数除以BHZ人口数)。
人群及其特征(收入、失业率、教育水平、老年人及依赖程度、婚姻状况、移民率);服务需求(护理频率指数和标准化死亡率);初级护理提供特征(医生人数、按年龄和性别分布、组织模式、从事初级护理的年限);专科护理提供特征(实验室专家人数、放射诊断和临床服务医生比例)。
平均PRR为每100名居民31.9(0.87),相似值倾向于聚为三类。已确定解释81.87%变异的五个组成部分:总人口、人口特征、社会经济地位、服务需求和社会流动性。在回归分析(R2 = 0.18)中,后三项具有统计学意义。
在服务需求水平较高、社会经济地位和社会流动性较低的BHZ中,PRR更高。与初级护理和专科护理的提供或组织均无关联。这些变量应纳入服务提供规划中。