Barnett Ross, Malcolm Laurence
Department of Geography, University of Canterbury, Christchurch, New Zealand.
J Prim Health Care. 2010 Jun;2(2):111-7.
This project aims to provide information to support the planning and implementation of strategies to reduce hospitalisation. It examines variations in hospital discharge rates between practice populations and the use of special general practice access funding.
Practice enrolment data for 345 254 patients enrolled with 102 Partnership Health Primary Health Organisation (PHO) general practices were sent to New Zealand Health Information Service. Data linked to the patient National Health Index (NHI) relating to hospital discharges were attached to the practice enrolment data for the two years ending June 2007 and returned to the researchers with the NHI numbers encrypted. Total discharges were 127426. The data were analysed for rates of hospital discharges for different population groups and by general practice.
There is a substantial variation in hospital discharge rates between general practices, but this is only partly accounted for by practice population characteristics. Furthermore while there is a strong social gradient in European admissions, this is much less true for Maori. There was also a wide variation between practices in the uptake of High Use Health Cards, special funding for frequent attenders at general practices and 'Care Plus' funding for patients with chronic conditions. Practice deprivation, ethnicity and age only explained a minor part of this variation.
The high rate of unexplained practice variation in chronic care management and hospitalisation rates, especially for Maori, is of concern. Further investigation of the causes of such variability is needed as afirst step in reducing hospitalisation.
本项目旨在提供信息,以支持减少住院率策略的规划与实施。它考察了不同执业人群之间的医院出院率差异以及特殊全科医疗准入资金的使用情况。
向新西兰健康信息服务中心发送了102家合作健康初级卫生组织(PHO)全科诊所登记的345254名患者的执业登记数据。与患者国家健康指数(NHI)相关的医院出院数据被附加到截至2007年6月的两年执业登记数据中,并在NHI编号加密后返还给研究人员。出院总数为127426例。对不同人群组和各全科诊所的医院出院率进行了数据分析。
各全科诊所之间的医院出院率存在很大差异,但这只是部分地由执业人群特征所解释。此外,虽然欧洲人住院存在很强的社会梯度,但毛利人的情况则远非如此。在高使用健康卡的使用、对全科诊所频繁就诊者的特殊资金以及对慢性病患者的“关爱加”资金方面,各诊所之间也存在很大差异。执业地区贫困程度、种族和年龄仅解释了这种差异的一小部分。
慢性护理管理和住院率中无法解释的执业差异率很高,尤其是对毛利人而言,这令人担忧。作为降低住院率的第一步,需要进一步调查这种差异的原因。