Effect of Changing Electronic Health Record Opioid Analgesic Dispense Quantity Defaults on the Quantity Prescribed A Cluster Randomized Clinical Trial

被引:13
作者
Bachhuber, Marcus A. [1 ,2 ]
Nash, Denis [3 ,4 ]
Southern, William N. [5 ]
Heo, Moonseong [2 ,6 ]
Berger, Matthew [7 ]
Schepis, Mark [7 ]
Thakral, Manu [8 ]
Cunningham, Chinazo O. [2 ]
机构
[1] Louisiana State Univ, Sect Community & Populat Med, Hlth Sci Ctr New Orleans, 533 Bolivar St,5th Flr, New Orleans, LA 70112 USA
[2] Montefiore Med Ctr, Albert Einstein Coll Med, Dept Med, Div Gen Internal Med, Bronx, NY 10467 USA
[3] CUNY, Inst Implementat Sci Populat Hlth, New York, NY 10021 USA
[4] CUNY, Dept Epidemiol & Biostat, Grad Sch Publ Hlth & Hlth Policy, New York, NY 10021 USA
[5] Montefiore Med Ctr, Albert Einstein Canc Ctr, Div Hosp Med, Bronx, NY 10467 USA
[6] Clemson Univ, Dept Publ Hlth Sci, Coll Behav Social & Hlth Sci, Clemson, SC USA
[7] Montefiore Med Ctr, Montefiore Informat Technol, 111 E 210th St, Bronx, NY 10467 USA
[8] Univ Massachusetts, Coll Nursing & Hlth Sci, Boston, MA 02125 USA
基金
美国国家卫生研究院;
关键词
LEFTOVER PRESCRIPTION OPIOIDS; OVERDOSE; ASSOCIATION; PATTERNS; ABUSE; TERM;
D O I
10.1001/jamanetworkopen.2021.7481
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Importance Interventions to improve judicious prescribing of opioid analgesics for acute pain are needed owing to the risks of diversion, misuse, and overdose. Objective To assess the effect of modifying opioid analgesic prescribing defaults in the electronic health record (EHR) on prescribing and health service use. Design, Setting, and Participants A cluster randomized clinical trial with 2 parallel arms was conducted between June 13, 2016, and June 13, 2018, in a large urban health care system comprising 32 primary care and 4 emergency department (ED) sites in the Bronx, New York. Data were analyzed using a difference-in-differences method from 6 months before implementation through 18 months after implementation. Data were analyzed from January 2019 to February 2020. Interventions A default dispense quantity for new opioid analgesic prescriptions of 10 tablets (intervention) vs no change (control) in the EHR. Main Outcomes and Measures The primary outcome was the quantity of opioid analgesics prescribed with the new default prescription. Secondary outcomes were opioid analgesic reorders and health service use within 30 days after the new prescription. Intention-to-treat analysis was conducted. Results Overall, 21 331 patients received a new opioid analgesic prescription from 490 prescribers. Comparing the intervention and control arms, site, prescriber, and patient characteristics were similar. For the new prescription, compared with the control arm, patients in the intervention arm had significantly more prescriptions for 10 tablets or fewer (7.6 percentage points; 95% CI, 6.1-9.2 percentage points), a lower number of tablets prescribed (-2.1 tablets; 95% CI, -3.3 to -0.9 tablets), and lower morphine milligram equivalents (MME) prescribed (-14.6 MME; 95% CI, -22.6 to -6.6 MME). Within 30 days after the new prescription, significant differences remained in the number of tablets prescribed (-2.7 tablets; 95% CI, -4.8 to -0.6 tablets), but not MME (-15.8 MME; 95% CI, -33.8 to 2.2 MME). Within this 30-day period, there were no significant differences between the arms in health service use. Conclusions and Relevance In this study, implementation of a uniform reduced default dispense quantity of 10 tablets for opioid analgesic prescriptions led to a modest reduction in the quantity prescribed initially, without significantly increasing health service use. However, during 30 days after implementation, the influence on prescribing was mixed. Reducing EHR default dispense quantities for opioid analgesics is a feasible strategy that can be widely disseminated and may modestly reduce prescribing. This cluster randomized clinical trial examines the effect of reducing the default prescribing of opioid analgesics in the electronic health record (EHR) to 10 tablets in primary care and emergency department settings. Question Does reducing the default number of tablets for opioid analgesic prescriptions in the electronic health record influence prescribing or other outcomes? Findings In this cluster randomized clinical trial of 32 primary care and 4 emergency department sites, with a total of 21 331 prescriptions, a reduced uniform default dispense quantity of 10 tablets led to an increase in the percentage of prescriptions for 10 tablets or fewer (7.6 percentage points). No significant difference in health service use was noted. Meaning Findings of this study suggest that implementation of a reduced uniform opioid analgesic prescribing default is a feasible intervention that can modestly reduce prescribing.
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页数:12
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