Cochran Gerald, Woo Bongki, Lo-Ciganic Wei-Hsuan, Gordon Adam J, Donohue Julie M, Gellad Walid F
a School of Social Work, University of Pittsburgh , Pittsburgh , Pennsylvania , USA.
Subst Abus. 2015;36(2):192-202. doi: 10.1080/08897077.2014.993491. Epub 2015 Feb 11.
Health insurance claims data may play an important role for health care systems and payers in monitoring the nonmedical use of prescription opioids (NMPO) among patients. However, these systems require valid methods for identifying NMPO if they are to target individuals for intervention. Limited efforts have been made to define NMPO using administrative data available to health systems and payers. We conducted a systematic review of publications that defined and measured NMPO within health insurance claims databases in order to describe definitions of NMPO and identify areas for improvement.
We searched 8 electronic databases for articles that included terms related to NMPO and health insurance claims. A total of 2613 articles were identified in our search. Titles, abstracts, and article full texts were assessed according to predetermined inclusion/exclusion criteria. Following article selection, we extracted general information, conceptual and operational definitions of NMPO, methods used to validate operational definitions of NMPO, and rates of NMPO.
A total of 7 studies met all inclusion criteria. A range of conceptual NMPO definitions emerged, from concrete concepts of abuse to qualified definitions of probable misuse. Operational definitions also varied, ranging from variables that rely on diagnostic codes to those that rely on opioid dosage and/or filling patterns. Quantitative validation of NMPO definitions was reported in 3 studies (e.g., receiver operating curves or logistic regression), with each study indicating adequate validity. Three studies reported qualitative validation, using face and content validity. One study reported no validation efforts. Rates of NMPO among the studies' populations ranged from 0.75% to 10.32%.
Disparate definitions of NMPO emerged from the literature, with little uniformity in conceptualization and operationalization. Validation approaches were also limited, and rates of NMPO varied across studies. Future research should prospectively test and validate a construct of NMPO to disseminate to payers and health officials.
医疗保险理赔数据可能在医疗保健系统和支付方监测患者处方阿片类药物非医疗使用(NMPO)方面发挥重要作用。然而,这些系统若要针对个体进行干预,就需要有效的方法来识别NMPO。利用卫生系统和支付方可获取的行政数据来定义NMPO的工作做得有限。我们对在医疗保险理赔数据库中定义和测量NMPO的出版物进行了系统综述,以描述NMPO的定义并确定改进领域。
我们在8个电子数据库中搜索包含与NMPO和医疗保险理赔相关术语的文章。在搜索中总共识别出2613篇文章。根据预定的纳入/排除标准对标题、摘要和文章全文进行评估。文章筛选后,我们提取了一般信息、NMPO的概念和操作定义、用于验证NMPO操作定义的方法以及NMPO的发生率。
共有7项研究符合所有纳入标准。出现了一系列概念性的NMPO定义,从具体的滥用概念到可能误用的限定定义。操作定义也各不相同——从依赖诊断代码的变量到依赖阿片类药物剂量和/或配药模式的变量。3项研究报告了NMPO定义的定量验证(例如,受试者工作特征曲线或逻辑回归),每项研究都表明有效性良好。3项研究报告了定性验证,采用了表面效度和内容效度。1项研究报告未进行验证工作。各研究人群中的NMPO发生率在0.75%至10.32%之间。
文献中出现了不同的NMPO定义,在概念化和操作化方面几乎没有一致性。验证方法也很有限,且不同研究中的NMPO发生率各不相同。未来的研究应前瞻性地测试和验证NMPO的结构,以便向支付方和卫生官员进行推广。