Warren Jim, Warren Debra, Yang Hong Yul, Mabotuwana Thusitha, Kennelly John, Kenealy Tim, Harrison Jeff
National Institute for Health Innovation, The University of Auckland, New Zealand.
Stud Health Technol Inform. 2011;169:634-8.
Poor adherence to long-term prescription medication is a frequent problem that undermines pharmacological control of important risk factors such as hypertension. A medication possession ratio (MPR) can be calculated from Practice Management System (PMS) data to provide a convenient indicator of adherence. We investigate how well prior MPR predicts later MPR, taking MPR<80% as indicative of 'non-adherence,' to assess the potential value of MPR calculation on PMS data for targeting adherence promotion activities by general practices. We examine PMS data for two New Zealand metropolitan general practices, one with a predominantly Pacific caseload, across 2008 and 2009. We find prevalence of non-adherence in 2009 to be 51.63% (95% confidence interval [CI] 47.9-55.3) for patients at the Pacific practice and 28.09% (95% CI 25.0-31.1) at the other practice for patients who are demonstrably active with the practice in 2009. The positive predictive value (PPV) of 2008 non-adherence for 2009 non-adherence is 71.80% (95% CI, 66.5-77.1) and negative predictive value (NPV) 61.52% (95% CI 56.9-66.1) for the Pacific practice; PPV is 61.38% (95% CI 54.6-68.2) and NPV is 82.19% (95% CI 79.2-85.2) for the other practice. The results indicate good potential for decision support tools to target adherence promotion.
长期处方药的依从性差是一个常见问题,它会削弱对高血压等重要风险因素的药物控制。可以根据实践管理系统(PMS)数据计算药物持有率(MPR),以提供一个方便的依从性指标。我们研究先前的MPR对后期MPR的预测效果如何,将MPR<80%视为“不依从”的指标,以评估根据PMS数据计算MPR对于基层医疗实践针对促进依从性活动的潜在价值。我们研究了2008年和2009年新西兰两个大都市基层医疗实践的PMS数据,其中一个主要服务太平洋岛民患者。我们发现,在2009年,太平洋岛民患者所在实践中,明显在该实践就诊的患者不依从率为51.63%(95%置信区间[CI] 47.9 - 55.3),另一个实践中为28.09%(95% CI 25.0 - 31.1)。对于太平洋岛民患者所在实践,2008年不依从对2009年不依从的阳性预测值(PPV)为71.80%(95% CI,66.5 - 77.1),阴性预测值(NPV)为61.52%(95% CI 56.9 - 66.1);另一个实践的PPV为61.38%(95% CI 54.6 - 68.2),NPV为82.19%(95% CI 79.2 - 85.2)。结果表明决策支持工具在针对促进依从性方面具有良好潜力。