Brown University School of Public Health, Providence, Rhode Island.
School of Pharmacy, Pharmaceutical Health Services Research, University of Maryland Baltimore, Baltimore, Maryland.
Health Serv Res. 2019 Oct;54(5):1045-1054. doi: 10.1111/1475-6773.13197. Epub 2019 Aug 2.
To estimate the impact of implementing prescription drug monitoring program (PDMP) best practices on prescription opioid use.
2007-2012 Medicare claims for noncancer pain patients, and PDMP attributes from the Prescription Drug Abuse Policy System.
We derived PDMP composite scores using the number of best practices adopted by states (range: 0-14), classifying states as either no PDMP, low strength (0 < score < median), or high strength (score ≥ median). Using generalized linear models, we quantified the association between the PDMP score category and opioid use measures-overall and stratified by disability/age. Sensitivity analyses assessed the general Medicare sample regardless of pain diagnoses, individual PDMP characteristics, and compared GEE model findings to models with state fixed effects.
Compared to non-PDMP states, strong PDMP states had lower opioid cumulative doses (-296 mg; 95% CI: -512, -132), days supplied (-7.84; 95% CI: -10.6, -5.04), prescription fill rates (0.97; 95% CI: 0.95, 0.98), and mean daily doses (-2.31 mg; 95% CI: -3.14, -1.48) but greater prevalence of high opioid doses in disabled adults, whereas there was little or no change in older adults. Findings in states with weak PDMPs were substantively similar to those of strong PDMPs. Results from sensitivity analyses were mostly consistent with main findings except there was a null relationship with mean daily doses and high doses in models with state fixed effects.
Comprehensive or minimal adoption of PDMP best practices was associated with mostly comparable effects on Medicare beneficiaries' opioid use; however, these effects were concentrated among nonelderly disabled adults.
评估实施处方药物监测计划(PDMP)最佳实践对处方阿片类药物使用的影响。
2007 年至 2012 年非癌症疼痛患者的医疗保险索赔数据,以及来自处方药物滥用政策系统的 PDMP 属性。
我们使用各州采用的最佳实践数量(范围:0-14)得出 PDMP 综合评分,将各州分为无 PDMP、低强度(评分<中位数)或高强度(评分≥中位数)。使用广义线性模型,我们量化了 PDMP 评分类别与阿片类药物使用指标之间的关联,包括总体情况以及按残疾/年龄分层的情况。敏感性分析评估了无论疼痛诊断如何,整个普通医疗保险样本、个别 PDMP 特征,并将 GEE 模型的发现与具有州固定效应的模型进行了比较。
与无 PDMP 州相比,PDMP 强州的阿片类药物累积剂量较低(-296 毫克;95%置信区间:-512,-132),供应量减少(-7.84;95%置信区间:-10.6,-5.04),处方配药率降低(0.97;95%置信区间:0.95,0.98),以及平均日剂量降低(-2.31 毫克;95%置信区间:-3.14,-1.48),但残疾成年人中高剂量阿片类药物的患病率较高,而老年成年人的变化较小或没有变化。在 PDMP 较弱的州的发现与 PDMP 强州的发现基本相似。除了与州固定效应模型中的平均日剂量和高剂量呈零关系外,敏感性分析的结果与主要发现基本一致。
全面或最低限度地采用 PDMP 最佳实践与医疗保险受益人的阿片类药物使用情况大多具有可比性的影响;然而,这些影响主要集中在非老年残疾成年人中。