Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, Edmonton, Alberta, Canada.
J Clin Densitom. 2012 Jan-Mar;15(1):61-6. doi: 10.1016/j.jocd.2011.07.007. Epub 2011 Nov 9.
In a randomized trial, we demonstrated that a community pharmacist osteoporosis screening intervention doubled the rates of bone mineral density (BMD) testing in high-risk patients. The purpose of this secondary analysis was to evaluate the potentially modifiable factors associated with BMD testing. From 2005 to 2007, 15 pharmacies randomized 262 patients to intervention (education, pamphlets, point-of-care quantitative heel ultrasound [QUS]) or usual care. The main outcome was BMD testing within 4mo. Multivariate regression was used to determine independent correlates of BMD testing. The median age of the cohort was 62yr, 65% were women, and 49% (n=129) were randomized to intervention. Compared with patients who were not tested, those with BMD were more likely to be women (p=0.007) and have excellent or very good health (p<0.001). Postrandomization correlates of BMD test were intervention (p=0.017), greater osteoporosis knowledge (p=0.004), and osteoporosis-specific physician visits (p<0.001). In adjusted analyses, only female sex (adjusted odds ratio [aOR]: 3.0; 95% confidence interval [CI]: 1.3-7.4) and osteoporosis-specific visits (aOR: 3.2; 95% CI: 1.4-7.8) were independently associated with BMD testing. In analyses restricted to intervention patients, abnormal QUS (aOR: 3.7, 95% CI: 1.4-9.1) was the only independent predictor of BMD test. Future interventions should incorporate the finding that osteoporosis-specific visits and abnormal QUS results were strongly associated with getting a BMD testing and should give greater attention to men.
在一项随机试验中,我们证明了社区药剂师骨质疏松症筛查干预措施将高危患者的骨密度(BMD)检测率提高了一倍。本次二次分析的目的是评估与 BMD 检测相关的潜在可改变因素。2005 年至 2007 年,15 家药店将 262 名患者随机分为干预组(教育、宣传册、即时定量足跟超声[QUS])或常规护理组。主要结局是在 4 个月内进行 BMD 检测。多变量回归用于确定 BMD 检测的独立相关因素。队列的中位年龄为 62 岁,65%为女性,49%(n=129)被随机分配到干预组。与未接受检测的患者相比,接受 BMD 检测的患者更有可能为女性(p=0.007)且健康状况极好或非常好(p<0.001)。BMD 检测的随机后相关因素包括干预(p=0.017)、骨质疏松症知识增加(p=0.004)和专门针对骨质疏松症的医生就诊(p<0.001)。在调整分析中,只有女性性别(调整后的优势比[aOR]:3.0;95%置信区间[CI]:1.3-7.4)和专门针对骨质疏松症的就诊(aOR:3.2;95% CI:1.4-7.8)与 BMD 检测独立相关。在仅限于干预患者的分析中,异常 QUS(aOR:3.7,95% CI:1.4-9.1)是 BMD 检测的唯一独立预测因素。未来的干预措施应纳入发现专门针对骨质疏松症的就诊和异常 QUS 结果与进行 BMD 检测密切相关的事实,并应更加关注男性。