Carr-Hill R A, Rice N, Roland M
Centre for Health Economics, University of York.
BMJ. 1996 Apr 20;312(7037):1008-12. doi: 10.1136/bmj.312.7037.1008.
To identify the socioeconomic determinants of consultation rates in general practice.
Analysis of data from the fourth national morbidity survey of general practices (MSGP4) including sociodemographic details of individual patients and small area statistics from the 1991 census. Multilevel modelling techniques were used to take account of both individual patient data and small area statistics to relate socioeconomic and health status factors directly to a measure of general practitioner workload.
Higher rates of consultations were found in patients who were classified as permanently sick, unemployed (especially those who became unemployed during the study year), living in rented accommodation, from the Indian subcontinent, living with a spouse or partner (women only), children living with two parents (girls only), and living in urban areas, especially those living relatively near the practice. When characteristics of individual patients are known and controlled for the role of "indices of deprivation" is considerably reduced. The effect of individual sociodemographic characteristics were shown to vary between different areas.
Demographic and socioeconomic factors can act as powerful predictors of consultation patterns. Though it will always be necessary to retain some local planning discretion, the sets of coefficients estimated for individual level factors, area level characteristics, and for practice groupings may be sufficient to provide an indicative level of demand for general medical services. Although the problems in using socioeconomic data from individual patients would be substantial, these results are relevant to the development of a resource allocation formula for general practice.
确定全科医疗中诊疗率的社会经济决定因素。
对第四次全国全科医疗发病率调查(MSGP4)的数据进行分析,包括个体患者的社会人口学细节以及1991年人口普查的小区域统计数据。采用多水平建模技术,综合考虑个体患者数据和小区域统计数据,将社会经济和健康状况因素直接与全科医生工作量的一项指标相关联。
被归类为长期患病、失业(尤其是在研究年度内失业者)、居住在出租房、来自印度次大陆、与配偶或伴侣同住(仅女性)、与双亲同住的子女(仅女孩)以及居住在城市地区(尤其是居住在离诊所相对较近的地方)的患者,诊疗率较高。当个体患者的特征已知并得到控制时,“贫困指数”的作用会大幅降低。个体社会人口学特征的影响在不同地区有所不同。
人口统计学和社会经济因素可作为诊疗模式的有力预测指标。尽管始终需要保留一定的地方规划自主权,但针对个体层面因素、地区层面特征以及诊疗分组所估计的系数集,可能足以提供全科医疗服务需求的指示性水平。虽然使用个体患者的社会经济数据存在诸多问题,但这些结果与全科医疗资源分配公式的制定相关。