Faculty of Medicine and Health Technology, c/o coordinator Leena Kiuru, Tampere University, Tampere, Finland.
Pirkkala Municipal Health Centre, Pirkkala, Finland.
Health Expect. 2020 Oct;23(5):1129-1143. doi: 10.1111/hex.13091. Epub 2020 Jun 29.
Patient enablement is a concept developed to measure quality in primary health care. The comparative analysis of patient enablement in an international context is lacking.
To explain variation in patient enablement between patients, general practitioners (GPs) and countries. To find independent variables associated with enablement.
We constructed multi-level logistic regression models encompassing variables from patient, GP and country levels. The proportions of explained variances at each level and odds ratios for independent variables were calculated.
A total of 7210 GPs and 58 930 patients in 31 countries were recruited through the Quality and Costs of Primary Care in Europe (QUALICOPC) study framework. In addition, data from the Primary Health Care Activity Monitor for Europe (PHAMEU) study and Hofstede's national cultural dimensions were combined with QUALICOPC data.
In the final model, 50.6% of the country variance and 18.4% of the practice variance could be explained. Cultural dimensions explained a major part of the variation between countries. Several patient-level and only a few practice-level variables showed statistically significant associations with patient enablement. Structural elements of the relevant health-care system showed no associations. From the 20 study hypotheses, eight were supported and four were partly supported.
There are large differences in patient enablement between GPs and countries. Patient characteristics and patients' perceptions of consultation seem to have the strongest associations with patient enablement. When comparing patient-reported measures as an indicator of health-care system performance, researchers should be aware of the influence of cultural elements.
患者赋权是一个旨在衡量初级保健质量的概念。缺乏国际背景下患者赋权的比较分析。
解释患者、全科医生(GP)和国家之间患者赋权的差异。寻找与赋权相关的独立变量。
我们构建了多水平逻辑回归模型,包含患者、GP 和国家层面的变量。计算了每个层面的解释方差比例和独立变量的优势比。
通过欧洲初级保健质量和成本(QUALICOPC)研究框架共招募了 31 个国家的 7210 名 GP 和 58930 名患者。此外,还结合了欧洲初级保健活动监测器(PHAMEU)研究和霍夫斯泰德国家文化维度的数据与 QUALICOPC 数据。
在最终模型中,50.6%的国家差异和 18.4%的实践差异可以解释。文化维度解释了国家之间差异的很大一部分。一些患者层面和只有少数实践层面的变量与患者赋权呈统计学显著关联。相关卫生保健系统的结构要素没有关联。在 20 项研究假设中,有 8 项得到支持,4 项得到部分支持。
GP 和国家之间的患者赋权存在很大差异。患者特征和患者对咨询的看法似乎与患者赋权有最强的关联。当将患者报告的衡量标准作为卫生保健系统绩效的指标进行比较时,研究人员应该意识到文化因素的影响。