Co-prescription network reveals social dynamics of opioid doctor shopping

被引:13
|
作者
Perry, Brea L. [1 ,2 ]
Yang, Kai Cheng [3 ]
Kaminski, Patrick [2 ,3 ]
Odabas, Meltem [2 ]
Park, Jaehyuk [3 ]
Martel, Michelle [4 ]
Oser, Carrie B. [5 ]
Freeman, Patricia R. [6 ]
Ahn, Yong-Yeol [1 ,3 ]
Talbert, Jeffery [6 ]
机构
[1] Indiana Univ, Network Sci Inst, 1001 45-46 Bypass, Bloomington, IN 47408 USA
[2] Indiana Univ, Dept Sociol, Bloomington, IN 47408 USA
[3] Indiana Univ, Sch Informat Comp & Engn, Bloomington, IN USA
[4] Univ Kentucky, Dept Psychol, Lexington, KY 40506 USA
[5] Univ Kentucky, Dept Sociol, Lexington, KY USA
[6] Univ Kentucky, Dept Pharm Practice & Sci, Lexington, KY USA
来源
PLOS ONE | 2019年 / 14卷 / 10期
关键词
DRUG-MONITORING PROGRAMS; HEROIN USE; UNITED-STATES; SHOPPERS; IMPACT;
D O I
10.1371/journal.pone.0223849
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
This paper examines network prominence in a co-prescription network as an indicator of opioid doctor shopping (i.e., fraudulent solicitation of opioids from multiple prescribers). Using longitudinal data from a large commercially insured population, we construct a network where a tie between patients is weighted by the number of shared opioid prescribers. Given prior research suggesting that doctor shopping may be a social process, we hypothesize that active doctor shoppers will occupy central structural positions in this network. We show that network prominence, operationalized using PageRank, is associated with more opioid prescriptions, higher predicted risk for dangerous morphine dosage, opioid overdose, and opioid use disorder, controlling for number of prescribers and other variables. Moreover, as a patient's prominence increases over time, so does their risk for these outcomes, compared to their own average level of risk. Results highlight the importance of co-prescription networks in characterizing high-risk social dynamics.
引用
收藏
页数:16
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