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Behavioral, mental, and physical health characteristics and opioid medication misuse among community pharmacy patients: A latent class analysis

机译:社区药房患者中的行为,精神和身体健康特征和阿片类药物滥用:潜在阶级分析

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Abstract Background Community pharmacists are well-positioned to address the US opioid medication crisis, which has created a need to detect misuse risk in order to provide optimal patient care. Objectives This study sought to identify community pharmacy patient subgroups at risk for opioid medication misuse. Methods This study was a cross-sectional survey that examined behavioral, mental, and physical health characteristics among patients filling opioid pain medications. A convenience sample of adult patients filling opioid pain medications who were not receiving cancer treatment were screened in 2 urban and 2 rural community pharmacies in southwestern Pennsylvania. Patient subgroups were identified using latent class analysis. Latent class regression analysis was used to examine the association between subgroup membership and misuse. Results A total of 333 patients completed the survey (response rate 71.4%). Latent class analysis results showed that a 3-class solution best fit the data, which were labeled: mental health (8.4%, n?=?28), poor health (79.6%, n?=?265), and hazardous alcohol use (12%, n?=?40). Individuals within the mental health subgroup had an increased risk for opioid medication misuse (Odds Ratio?=?6.23, 95% CI?=?5.13–7.33). Conclusion These findings demonstrate heterogeneity of this population receiving prescribed opioids and the potential to identify subgroups with high misuse risk. These findings also support routine screening of patients filling opioid medications and suggest the need for evidence-based patient-centered intervention development. Highlights ? The US opioid medication epidemic has brought an urgent need for pharmacists to regularly screen patients for misuse. ? Latent class analysis affords an analytical advancement for understanding patient misuse risk. ? Three subgroups of patients immerged from the latent class analysis; each group characterized by pain as well as other unique risk factors. ? Results showed patients within the mental health subgroup had elevated risk for misusing their opioid medication.
机译:摘要背景社区药剂师是良好的,以解决美国阿片类药物危机,这创造了一种需要检测滥用风险,以便提供最佳的患者护理。目的这项研究试图识别适用于阿片类药物滥用风险的社区药学患者亚组。方法本研究是在填充阿片类药物止痛药的患者中检查行为,精神病和身体健康特征的横截面调查。在宾夕法尼亚州西南部的2个城市和2个农村社区药房中筛选了填充未接受癌症治疗的阿片类疼痛药物的成年患者的便利样本。使用潜在阶级分析确定患者子组。潜在类回归分析用于检查子群成员资格和滥用之间的关联。结果共333名患者完成了调查(响应率71.4%)。潜在阶级分析结果表明,3级解决方案最适合标记的数据:心理健康(8.4%,N?28),健康状况不佳(79.6%,N?= 265),危险的酒精使用(12%,n?=?40)。心理健康亚组内的个体对阿片类药物滥用的风险增加(赔率比?=?6.23,95%CI?=?5.13-7.33)。结论这些研究结果表明,这种人群的异质性接受了规定的阿片类药物以及占据滥用风险的亚组的可能性。这些调查结果还支持含有阿片类药物的患者的常规筛查,并表明需要基于证据的患者居中的干预开发。强调 ?美国阿片类药物疫情迫切需要药剂师定期筛选患者滥用。还潜在阶级分析为理解患者滥用风险提供了分析进步。还从潜在阶级分析中灭绝的患者的三个亚组;每组以疼痛和其他独特的风险因素为特征。还结果表明,心理健康亚组内的患者滥用其阿片类药物的风险升高。

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