Sensitivity of hypothetical purchase task indices when studying substance use: A systematic literature review

PREVENTIVE MEDICINE

卷:128

Review

Zvorsky, Ivori^1,2,3  Nighbor, Tyler D.^1,2  Kurti, Allison N.^1,2,3  DeSarno, Michael⁴  Naude, Gideon⁵  Reed, Derek D.⁵  Higgins, Stephen T.^1,2,3 

[1] Vermont Ctr Behav & Hlth, Burlington, VT USA

[2] Univ Vermont, Dept Psychiat, Burlington, VT 05401 USA

[3] Univ Vermont, Dept Psychol Sci, Burlington, VT 05401 USA

[4] Univ Vermont, Dept Biomed Stat, Burlington, VT 05401 USA

[5] Univ Kansas, Cofrin Logan Ctr Addict Res & Treatment, Lawrence, KS 66045 USA

关键词: Hypothetical purchase tasks;    Purchase task;    Alcohol purchase task;    Cigarette purchase task;    Behavioral economics;    Substance use;    Addiction;    Substance use disorders;   

DOI  :  10.1016/j.ypmed.2019.105789

来源: Elsevier

【 摘 要 】

Hypothetical Purchase Tasks (HPTs) simulate demand for a substance as a function of escalating price. HPTs are increasingly used to examine relationships between substance-related correlates and outcomes and demand typically characterized using a common battery of indices (Intensity, O-max, P-max, Breakpoint, Elasticity). This review examines the relative sensitivity of the HPT indices. Reports were identified using the search term purchase task in PubMed and Web of Science. For inclusion, reports had to be original studies in English, examine relationships between HPT indices and substance-related correlates or outcomes, and appear in a peer-reviewed journal through December 2017. Indices were compared using effect sizes (Cohen's d) and the proportion of studies in which statistically significant relationships were observed. The search identified 1274 reports with 114 (9%) receiving full-text review and 82 (6%) meeting inclusion criteria. 41 reports examined alcohol, 34 examined cigarettes/nicotine products, and 10 examined other substances. Overall, statistically significant relationships between HPT indices and substance-related correlates and outcomes were most often reported for Intensity (88.61%, 70/79), followed by O-max (81.16%, 56/69), Elasticity (72.15%, 57/59), Breakpoint (62.12%, 41/66), and P-max (48.08%; 25/52). The largest effect sizes were observed for Intensity (0.75 +/- 0.04, CI 0.67-0.84) and O-max (0.64 +/- 0.04, CI 0.56-0.71), followed by Elasticity (0.44 +/- 0.04, CI 0.37-0.51), Breakpoint (0.30 +/- 0.03, CI 0.25-0.36), and P-max (0.25 +/- 0.04, CI 0.18-0.33). Patterns were largely consistent across substances. In conclusion, HPTs can be highly effective in revealing relationships between demand and substance-related correlates and outcomes, with Intensity and O-max exhibiting the greatest sensitivity.

【 授权许可】

Free