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通过基于计算机的测试缩短当前阿片类药物滥用测量:回顾性概念验证研究。

Shortening the Current Opioid Misuse Measure via computer-based testing: a retrospective proof-of-concept study.

机构信息

Department of Public Health and Community Service, Tufts University School of Dental Medicine, Boston, MA 02111, USA.

出版信息

BMC Med Res Methodol. 2013 Oct 20;13:126. doi: 10.1186/1471-2288-13-126.

Abstract

BACKGROUND

The Current Opioid Misuse Measure (COMM) is a self-report questionnaire designed to help identify aberrant drug-related behavior in respondents who have been prescribed opioids for chronic pain. The full-length form of the COMM consists of 17 items. Some individuals, especially compromised individuals, may be deterred from taking the full questionnaire due to its length. This study examined the use of curtailment and stochastic curtailment, two computer-based testing approaches that sequentially determine the test length for each individual, to reduce the respondent burden of the COMM without compromising sensitivity and specificity.

METHODS

Existing data from n = 415 participants, all of whom had taken the full-length COMM and had been classified via the Aberrant Drug Behavior Index (ADBI), were divided into training (n = 214) and test (n = 201) sets. Post-hoc analysis of the test set was performed to evaluate the screening results and test lengths that would have been obtained, if curtailment or stochastic curtailment had been used. Sensitivity, specificity, and average test length were calculated for each method and compared with the corresponding values of the full-length test.

RESULTS

The full-length COMM had a sensitivity of 0.703 and a specificity of 0.701 for predicting the ADBI. Curtailment reduced the average test length by 22% while maintaining the same sensitivity and specificity as the full-length COMM. Stochastic curtailment reduced the average test length by as much as 59% while always obtaining a sensitivity of at least 0.688 and a specificity of at least 0.701 for predicting the ADBI.

CONCLUSIONS

Curtailment and stochastic curtailment have the potential to achieve substantial reductions in respondent burden without compromising sensitivity and specificity. The two sequential methods should be considered for future computer-based administrations of the COMM.

摘要

背景

当前阿片类药物滥用量表(COMM)是一种自我报告问卷,旨在帮助识别因慢性疼痛而开处阿片类药物的受访者中异常的药物相关行为。COMM 全长形式由 17 个项目组成。一些人,尤其是身体不适的人,可能会因为问卷长度而不愿接受完整问卷。本研究探讨了缩减和随机缩减两种基于计算机的测试方法的使用,这两种方法依次确定每个个体的测试长度,在不影响敏感性和特异性的情况下减轻 COMM 的受访者负担。

方法

使用 n = 415 名参与者的现有数据,所有参与者都接受了完整的 COMM 测试,并通过异常药物行为指数(ADBI)进行了分类,将数据分为训练集(n = 214)和测试集(n = 201)。对测试集进行事后分析,以评估如果使用缩减或随机缩减会得到的筛选结果和测试长度。为每种方法计算了敏感性、特异性和平均测试长度,并与全长测试的相应值进行了比较。

结果

完整的 COMM 对预测 ADBI 的敏感性为 0.703,特异性为 0.701。缩减平均测试长度减少了 22%,同时保持了与完整 COMM 相同的敏感性和特异性。随机缩减平均测试长度最多可减少 59%,同时始终为预测 ADBI 获得至少 0.688 的敏感性和至少 0.701 的特异性。

结论

缩减和随机缩减有可能在不影响敏感性和特异性的情况下大幅减轻受访者的负担。这两种连续的方法应考虑用于未来基于计算机的 COMM 管理。

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