Association of Lowering Default Pill Counts in Electronic Medical Record Systems With Postoperative Opioid Prescribing

被引:134
|
作者
Chiu, Alexander S. [1 ]
Jean, Raymond A. [1 ,2 ]
Hoag, Jessica R. [3 ]
Freedman-Weiss, Mollie [1 ]
Healy, James M. [4 ]
Pei, Kevin Y. [1 ]
机构
[1] Yale Sch Med, Dept Surg, 330 Cedar St,Ste BB310, New Haven, CT 06519 USA
[2] Yale Sch Med, Dept Internal Med, Natl Clinician Scholars Program, New Haven, CT USA
[3] Yale Sch Med, Canc Outcomes Publ Policy & Effectiveness Res COP, Gen Internal Med Sect, Dept Internal Med, New Haven, CT USA
[4] Connecticut Childrens Med Ctr, Dept Pediat Surg, Hartford, CT USA
基金
美国国家卫生研究院;
关键词
PRESCRIPTION OPIOIDS; UNITED-STATES; PAIN; INTERVENTION; ANALGESICS; OVERDOSE; DEATHS;
D O I
10.1001/jamasurg.2018.2083
中图分类号
R61 [外科手术学];
学科分类号
摘要
IMPORTANCE Reliance on prescription opioids for postprocedural analgesia has contributed to the opioid epidemic. With the implementation of electronic medical record (EMR) systems, there has been increasing use of computerized order entry systems for medication prescriptions, which is now more common than handwritten prescriptions. The EMR can autopopulate a default number of pills prescribed, and 1 potential method to alter prescriber behavior is to change the default number presented via the EMR system. OBJECTIVE To investigate the association of lowering the default number of pills presented when prescribing opioids in an EMR system with the amount of opioid prescribed after procedures. DESIGN, SETTING, AND PARTICIPANTS A prepost intervention study was conducted to compare postprocedural prescribing patterns during the 3 months before the default change (February 18 to May 17, 2017) with the 3 months after the default change (May 18 to August 18, 2017). The setting was a multihospital health care system that uses Epic EMR (Hyperspace 2015 IU2; Epic Systems Corporation). Participants were all patients in the study period undergoing lof the 10 most common operations and discharged by postoperative day 1. INTERVENTION The default number of opioid pills autopopulated in the EMR when prescribing discharge analgesia was lowered from 30 to 12. MAIN OUTCOMES AND MEASURES Linear regression estimating the change in the median number of opioid pills and the total dose of opioid prescribed was performed. Opioid doses were converted into morphine milligram equivalents (MME) for comparison. The frequency of patients requiring analgesic prescription refills was also evaluated. RESULTS There were 1447 procedures (mean [SD] age, 54.4 [17.3] years; 66.9% female) before the default change and 1463 procedures (mean [SD] age, 54.5 [16.4] years; 67.0% female) after the default change. After the default change, the median number of opioid pills prescribed decreased from 30 (interquartile range, 15-30) to 20 (interquartile range, 12-30) per prescription (P < .001). The percentage of prescriptions written for 30 pills decreased from 39.7% (554 of 1397) before the default change to 12.9% (183 of 1420) after the default change (P < .001), and the percentage of prescriptions written for 12 pills increased from 2.1% (29 of 1397) before the default change to 24.6% (349 of 1420) after the default change (P < .001). Regression analysis demonstrated a decrease of 5.22(95% CI, -6.12 to -4.32) opioid pills per prescription after the default change, for a total decrease of 34.41 (95% CI, -41.36 to -27.47) MME per prescription. There was no statistical difference in opioid refill rates (3.0% [4 of 135] before the default change vs 1.5% [2 of 135] after the default change, P = .41). CONCLUSIONS AND RELEVANCE Lowering the default number of opioid pills prescribed in an EMR system is a simple, effective, cheap, and potentially scalable intervention to change prescriber behavior and decrease the amount of opioid medication prescribed after procedures.
引用
收藏
页码:1012 / 1019
页数:8
相关论文
共 50 条
  • [41] Primary care chronic and high dose opioid prescribing in 2011-2018: An observational study using electronic medical record data
    Bai, Isaac
    Sabri, Sarah
    Neville, Heather
    Lawson, Beverley
    McIntyre, Virginia
    Burge, Fred
    Sketris, Ingrid
    Grandy, Mathew
    [J]. PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2020, 29 : 648 - 648
  • [42] Impact of Electronic Health Record Systems on Prescribing Errors in Pediatric Clinics
    Gildon, Brooke L.
    Condren, Michelle
    Hughes, Christine C.
    [J]. HEALTHCARE, 2019, 7 (02)
  • [43] Opioid and Naloxone Prescribing Following Insertion of Prompts in the Electronic Health Record to Encourage Compliance With California State Opioid Law
    Duan, Lewei
    Lee, Ming-Sum
    Adams, John L.
    Sharp, Adam L.
    Doctor, Jason N.
    [J]. JAMA NETWORK OPEN, 2022, 5 (05) : E229723
  • [44] Association Between State Limits on Opioid Prescribing and the Incidence of Persistent Postoperative Opioid Use Among Surgical Patients
    Sun, Eric C.
    Rishel, Chris A.
    Waljee, Jennifer F.
    Brummett, Chad M.
    Jena, Anupam B.
    [J]. ANNALS OF SURGERY, 2023, 277 (04) : e759 - e765
  • [45] Securing Electronic Medical Record and Electronic Health Record Systems Through an Improved Access Control
    Vimalachandran, Pasupathy
    Wang, Hua
    Zhang, Yanchun
    [J]. HEALTH INFORMATION SCIENCE (HIS 2015), 2015, 9085 : 17 - 30
  • [46] Electronic Medical Record Systems for Developing Countries: Review
    Kalogriopoulos, Nicholas A.
    Baran, Jonathan
    Nimunkar, Amit J.
    Webster, John G.
    [J]. 2009 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-20, 2009, : 1730 - +
  • [47] Recent perspectives of electronic medical record systems (Review)
    Zhang, Xiao-Ying
    Zhang, Peiying
    [J]. EXPERIMENTAL AND THERAPEUTIC MEDICINE, 2016, 11 (06) : 2083 - 2085
  • [48] The impact of electronic medical record systems on hospital efficiency
    Lee, C. Christopher
    Shin, Heechang
    Klimm, Caroline
    Palmero, Christopher
    Hughes, Stephanie
    [J]. International Journal of Technology, Policy and Management, 2023, 23 (01) : 1 - 19
  • [49] Special requirements for electronic medical record systems in pediatrics
    Lustig, J
    Gotlieb, EM
    Deutsch, L
    Gerstle, R
    Lieberthal, A
    Shiffman, R
    Spooner, SA
    Stern, M
    [J]. PEDIATRICS, 2001, 108 (02) : 513 - 515
  • [50] Savings in electronic medical record systems? Do it for the quality
    Goodman, C
    [J]. HEALTH AFFAIRS, 2005, 24 (05) : 1124 - 1126