Changes in opioid and other analgesic prescribing following voluntary and mandatory prescription drug monitoring program implementation: A time series analysis of early outcomes

被引:16
作者
Nielsen, Suzanne [1 ]
Picco, Louisa [1 ]
Russell, Grant [2 ]
Pearce, Christopher [3 ]
Andrew, Nadine E. [4 ,5 ]
Lubman, Dan I. [1 ,6 ]
Bell, Simon [7 ,8 ]
Buchbinder, Rachelle [8 ]
Xia, Ting [1 ]
机构
[1] Monash Univ, Monash Addict Res Ctr, Eastern Hlth Clin Sch, Melbourne, Australia
[2] Monash Univ, Sch Publ Hlth & Prevent Med, Dept Gen Practice, Melbourne, Australia
[3] Outcome Hlth, Melbourne, Australia
[4] Monash Univ, Peninsula Clin Sch, Cent Clin Sch, Melbourne, Australia
[5] Natl Ctr Hlth Ageing, Melbourne, Australia
[6] Eastern Hlth, Turning Point, Melbourne, Australia
[7] Monash Univ, Fac Pharm & Pharmaceut Sci, Ctr Med Use & Safety, Melbourne, Australia
[8] Monash Univ, Sch Publ Hlth & Prevent Med, Melbourne, Australia
基金
英国医学研究理事会; 澳大利亚国家健康与医学研究理事会;
关键词
Prescription drug monitoring program; Opioid; Prescribing; Policy; Substitution effect; Interrupted time series; Real time prescription monitoring; INTERVENTIONS; PREGABALIN; PHYSICIANS; MORTALITY; PATTERNS; ONTARIO;
D O I
10.1016/j.drugpo.2023.104053
中图分类号
R194 [卫生标准、卫生检查、医药管理];
学科分类号
摘要
Background: Australian prescription drug monitoring programs (PDMPs) provide information about a patient's recent medication history for controlled drugs at the point of prescribing and dispensing. Despite their increasing use, the evidence for PDMPs is mixed, and is almost exclusively from the United States. This study examined the impact of PDMP implementation on opioid prescribing among general practitioners in Victoria, Australia. Method: We examined data on analgesic prescribing using electronic records of 464 medical practices in the Australian state of Victoria between 01/04/2017 and 31/12/ 2020. We used interrupted time series analyses, to examine immediate and longer-term trends in medication prescribing following voluntary (from April 2019) and mandatory PDMP implementation (from April 2020). We examined changes in three outcomes (i) 'high' opioid dose (50-100mg oral morphine equivalent daily dose (OMEDD) and over 100mg (OMEDD) prescribing (ii) prescribing of high-risk medication combinations (opioids with either benzodiazepines or pregabalin), and (iii) initiation of non-controlled pain medications (tricyclic antidepressants, pregabalin and tramadol).Results: We found no effect of voluntary or mandatory PDMP implementation on 'high-dose' opioid prescribing with reductions only seen in those prescribed < 20mg OMEDD (i.e., the lowest dose category). Co-prescribing of opioids with benzodiazepines (additional 11.87 [95%CI 2.04 to 21.67] patients/10,000 and pregabalin (addi-tional 3.54 [95% CI 0.82 to 6.26] patients/10,000 increased following mandatory PDMP implementation among those prescribed opioids. In contrast to trends of reduced initiation prior to PDMP implementation, we found increased new initiation of non-monitored medications following PDMP implementation (e.g., an immediate increase of 2.32 [95%CI 0.02 to 4.54], patients/10,000 received pregabalin and 3.06 [95%CI 0.54 to 5.5] pa-tients/10,000 received tricyclic antidepressants after mandatory PDMP implementation), and increased tramadol initiation during the voluntary PDMP period (an increase of 11.26 [95%CI: 5.84, 16.67] patients /10,000).Conclusion: PDMP implementation did not appear to reduce prescribing of high opioid doses or high-risk combi-nations. Increased initiation of tricyclic antidepressants, pregabalin and tramadol may indicate a possible unin-tended effect.
引用
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页数:11
相关论文
共 76 条
[1]  
[Anonymous], 2016, CENSUS POPULATION HO
[2]  
[Anonymous], 2017, Prescription drug monitoring programs: A guide for healthcare providers
[3]  
Australian Bureau of Statistics, 2022, 31010 AUSTR BUR STAT
[4]  
Australian Institute of Health and Welfare, 2022, GEN PRACT ALL HLTH O
[5]   Interrupted time series regression for the evaluation of public health interventions: a tutorial [J].
Bernal, James Lopez ;
Cummins, Steven ;
Gasparrini, Antonio .
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2017, 46 (01) :348-355
[6]  
Bureau of Justice Assistance, 2015, JUST SYST US PRESCR
[7]  
Cangadis-Douglass H., 2022, USING PRIMARY CARE D
[8]   Changes in opioid prescribing after implementation of mandatory registration and proactive reports within California's prescription drug monitoring program [J].
Castillo-Carniglia, Alvaro ;
Gonzalez-Santa Cruz, Andres ;
Cerda, Magdalena ;
Delcher, Chris ;
Shev, Aaron B. ;
Wintemute, Garen J. ;
Henry, Stephen G. .
DRUG AND ALCOHOL DEPENDENCE, 2021, 218
[9]  
Chen Li Hui, 2014, NCHS Data Brief, P1
[10]   Prevention of Prescription Opioid Misuse and Projected Overdose Deaths in the United States [J].
Chen, Qiushi ;
Larochelle, Marc R. ;
Weaver, Davis T. ;
Lietz, Anna P. ;
Mueller, Peter P. ;
Mercaldo, Sarah ;
Wakeman, Sarah E. ;
Freedberg, Kenneth A. ;
Raphel, Tiana J. ;
Knudsen, Amy B. ;
Pandharipande, Pari V. ;
Chhatwal, Jagpreet .
JAMA NETWORK OPEN, 2019, 2 (02) :e187621