Slovis Benjamin H, Kairys John, Babula Bracken, Girondo Melanie, Martino Cara, Roke Lindsey M, Riggio Jeffrey
Office of the Chief Medical Information Officer, Thomas Jefferson University, Philadelphia, PA, United States.
Department of Emergency Medicine, Thomas Jefferson University, Philadelphia, PA, United States.
JMIR Med Inform. 2020 Mar 31;8(3):e16199. doi: 10.2196/16199.
The United States is in the midst of an opioid epidemic. Long-term use of opioid medications is associated with an increased risk of dependence. The US Centers for Disease Control and Prevention makes specific recommendations regarding opioid prescribing, including that prescription quantities should not exceed the intended duration of treatment.
The purpose of this study was to determine if opioid prescription quantities written at our institution exceed intended duration of treatment and whether enhancements to our electronic health record system improved any discrepancies.
We examined the opioid prescriptions written at our institution for a 22-month period. We examined the duration of treatment documented in the prescription itself and calculated a duration based on the quantity of tablets and doses per day. We determined whether requiring documentation of the prescription duration affected these outcomes.
We reviewed 72,314 opioid prescriptions, of which 16.96% had a calculated duration that was greater than what was documented in the prescription. Making the duration a required field significantly reduced this discrepancy (17.95% vs 16.21%, P<.001) but did not eliminate it.
Health information technology vendors should develop tools that, by default, accurately represent prescription durations and/or modify doses and quantities dispensed based on provider-entered durations. This would potentially reduce unintended prolonged opioid use and reduce the potential for long-term dependence.
美国正处于阿片类药物流行之中。长期使用阿片类药物与成瘾风险增加有关。美国疾病控制与预防中心针对阿片类药物处方提出了具体建议,包括处方量不应超过预期治疗时长。
本研究旨在确定我们机构开具的阿片类药物处方量是否超过预期治疗时长,以及电子健康记录系统的改进是否能改善任何差异。
我们检查了我们机构在22个月期间开具的阿片类药物处方。我们检查了处方中记录的治疗时长,并根据药片数量和每日剂量计算了一个时长。我们确定要求记录处方时长是否会影响这些结果。
我们审查了72314份阿片类药物处方,其中16.96%的计算时长大于处方中记录的时长。将时长设为必填字段显著减少了这种差异(17.95%对16.21%,P<0.001),但并未消除。
健康信息技术供应商应开发工具,默认情况下能准确体现处方时长和/或根据医生输入的时长调整发放的剂量和数量。这可能会减少意外的阿片类药物长期使用,并降低长期成瘾的可能性。