Winterstein Almut G, Sauer Brian C, Hepler Charles D, Poole Charles
Department of Pharmacy Health Care Administration, College of Pharmacy, University of Florida, Gainesville, FL 32610-0496, USA.
Ann Pharmacother. 2002 Jul-Aug;36(7-8):1238-48. doi: 10.1345/aph.1A225.
To estimate the prevalence of preventable drug-related hospital admissions (PDRAs) and to explore if selected study characteristics affect prevalence estimates.
Keyword search of MEDLINE (1966-December 1999), International Pharmaceutical Abstracts (1970-December 1999), and hand search. Two reviewers independently selected studies published in peer-reviewed journals and extracted crude prevalence estimates and study characteristics. Trials had to specifically address consequences of drug therapy requiring hospital admission and include a quantitative preventability assessment. Stratified analysis and meta-regression were used to explore the association between study characteristics and prevalence estimates.
Fifteen studies reported a median PDRA prevalence of 4.3% (interquartile range [IQR] 3.1-9.5%). The median preventability rate of drug-related admissions was 59% (IQR 50-73%). No evidence of publication bias related to study size could be determined. Because the individual study results were highly heterogeneous (Cochran's Q = 176, df = 14; p < 0.001), no meta-analytic summary estimate was computed. Stratified analysis suggested an association between prevalence estimates and 3 study characteristics: exclusion of first admissions (readmission studies: average PDRA prevalence of 14.0 %, estimated prevalence OR = 3.7); mean age of admissions >70 (OR = 2.1); and inclusion of "indirect" drug-related morbidity, such as omission errors or therapeutic failure (OR = 1.9). There was little evidence of other associations with prevalence estimates, such as selection of specific hospital units, exclusion/inclusion of planned admissions, country, and specified methods of PDRA case ascertainment.
Drug-related morbidity is a significant healthcare problem, and a great proportion is preventable. Study methods in prevalence reports vary and should be considered when interpreting findings or planning future research.
评估可预防的药物相关住院率,并探讨特定研究特征是否会影响患病率估计。
对MEDLINE(1966年至1999年12月)、国际药学文摘(1970年至1999年12月)进行关键词检索,并进行手工检索。两名评审员独立选择发表在同行评审期刊上的研究,并提取粗略的患病率估计值和研究特征。试验必须专门针对需要住院治疗的药物治疗后果,并包括定量的可预防性评估。采用分层分析和meta回归来探讨研究特征与患病率估计值之间的关联。
15项研究报告的药物相关住院率中位数为4.3%(四分位间距[IQR]3.1 - 9.5%)。药物相关住院的可预防率中位数为59%(IQR 50 - 73%)。未发现与研究规模相关的发表偏倚证据。由于各个研究结果高度异质性(Cochran's Q = 176,自由度df = 14;p < 0.001),未计算meta分析汇总估计值。分层分析表明患病率估计值与3个研究特征之间存在关联:排除首次入院患者(再入院研究:药物相关住院率平均患病率为14.0%,估计患病率比值比[OR] = 3.7);入院患者平均年龄>70岁(OR = 2.1);纳入“间接”药物相关发病率,如用药遗漏错误或治疗失败(OR = 1.9)。几乎没有证据表明与患病率估计值存在其他关联,如特定医院科室的选择、计划内入院的排除/纳入、国家以及药物相关住院病例确定的特定方法。
药物相关发病率是一个重大的医疗保健问题,且很大一部分是可预防的。患病率报告中的研究方法各不相同,在解释研究结果或规划未来研究时应予以考虑。