C. C. Wyles, M. Hevesi, R. T. Trousdale, M. W. Pagnano, T. M. Mabry Department of Orthopedic Surgery, Mayo Clinic, Rochester, MN, USA E. R. Trousdale, H. M. Gazelka Department of Anesthesiology, Mayo Clinic, Rochester, MN, USA D. S. Ubl, E. B. Habermann Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery Surgical Outcomes Program, Mayo Clinic, Rochester, MN, USA.
Clin Orthop Relat Res. 2019 Jan;477(1):104-113. doi: 10.1007/s11999.0000000000000292.
BACKGROUND: Opioid prescription management is challenging for orthopaedic surgeons, and we lack evidence-based guidelines for responsible opioid prescribing. Our institution recently developed opioid prescription guidelines for patients undergoing several common orthopaedic procedures including TKA and THA in an effort to reduce and standardize prescribing patterns. QUESTIONS/PURPOSES: (1) How do opioid prescriptions at discharge and 30-day refill rates change in opioid-naïve patients undergoing primary TKA and THA before and after implementation of a novel prescribing guideline strategy? (2) What patient, surgical, and in-hospital factors influence opioid prescription quantity and refill rate? METHODS: New institutional guidelines for patients undergoing TKA and THA recommend a maximum postoperative prescription of 400 oral morphine equivalents (OME), comparable to 50 tablets of 5 mg oxycodone or 80 tablets of 50 mg tramadol. All opioid-naïve patients, defined as those who did not take any opioids within 90 days preceding surgery, undergoing primary TKA and THA at a single tertiary care institution were evaluated from program initiation on August 1, 2017, through December 31, 2017, as the postguideline era cohort. This group (n = 751 patients) was compared with all opioid-naïve patients undergoing TKA and THA from 2016 at the same institution (n = 1822 patients). Some providers were early adopters of the guidelines as they were being developed, which is why January to July 2017 was not evaluated. Patients in the preguideline and postguideline eras were not different in terms of age, sex, race, body mass index, education level, employment status, psychiatric illness, marital status, smoking history, outpatient use of benzodiazepines or gabapentinoids, or diagnoses of diabetes mellitus, peripheral neuropathy, or cancer. The primary outcome assessed was adherence to the new guidelines with a secondary outcome of opioid medication refills ordered within 30 days from any provider. Multivariable logistic regression analyses were performed with outcomes of guideline compliance and refills and adjusted for demographic, surgical, and patient care factors. Patients were followed for 30 days after surgery and no patients were lost to followup. RESULTS: Median opioid prescription and range of prescriptions decreased in the postguideline era compared with the preguideline era (750 OME, interquartile range [IQR] 575-900 OME versus 388 OME, IQR 350-389; difference of medians = 362 OME; p < 0.001). There was no difference among patients undergoing TKA before and after guideline implementation in terms of the 30-day refill rate (35% [349 of 1011] versus 35% [141 of 399]; p = 0.77); this relationship was similar among patient undergoing THA (16% [129 of 811] versus 17% [61 of 352]; p = 0.55). After controlling for relevant patient-level factors, we found that implementation of an institutional guideline was the strongest factor associated with a prescription of ≤ 400 OME (adjusted odds ratio, 36; 95% confidence interval, 25-52; p < 0.001); although a number of patient-level factors also were associated with prescription quantity, the effect sizes were much smaller. CONCLUSIONS: This study provides a proof of concept that institutional guidelines to reduce postoperative opioid prescribing can improve aftercare in patients undergoing arthroplasty in a short period of time. The current report evaluates our experience with the first 5 months of this program; therefore, longer term data will be mandatory to determine longitudinal guideline adherence and whether the cutoffs established by this pilot initiative require further refinement for individual procedures. LEVEL OF EVIDENCE: Level II, therapeutic study.
背景:对于骨科医生来说,阿片类药物处方管理具有挑战性,而且我们缺乏负责任的阿片类药物处方开具的循证指南。我们的机构最近为接受几种常见骨科手术(包括 TKA 和 THA)的患者制定了阿片类药物处方指南,旨在减少和规范处方模式。
问题/目的:(1)在实施新的处方指南策略前后,接受初次 TKA 和 THA 的阿片类药物初治患者出院时和 30 天内的阿片类药物处方率和再开率如何变化?(2)哪些患者、手术和住院因素会影响阿片类药物的处方量和再开率?
方法:对于接受 TKA 和 THA 的患者,新的机构指南建议术后最大处方剂量为 400 个口服吗啡等效物(OME),相当于 50 片 5mg 羟考酮或 80 片 50mg 曲马多。所有阿片类药物初治患者(定义为在手术前 90 天内未服用任何阿片类药物的患者)都被评估,研究时间段为 2017 年 8 月 1 日至 12 月 31 日,为指南实施后的队列。该组(n = 751 例患者)与同一机构 2016 年接受 TKA 和 THA 的所有阿片类药物初治患者(n = 1822 例患者)进行了比较。一些医生在指南制定过程中是早期采用者,因此 2017 年 1 月至 7 月没有进行评估。在指南实施前后,患者在年龄、性别、种族、体重指数、教育水平、就业状况、精神疾病、婚姻状况、吸烟史、门诊使用苯二氮䓬类或加巴喷丁类药物、糖尿病、周围神经病变或癌症的诊断方面无差异。主要结局是评估新指南的遵守情况,次要结局是评估在任何医生处开具的 30 天内的阿片类药物药物再开情况。对结局为指南遵守情况和再开情况的多变量逻辑回归分析进行了调整,以调整人口统计学、手术和患者护理因素。患者在手术后随访 30 天,没有患者失访。
结果:与指南实施前相比,指南实施后阿片类药物处方和处方范围中位数降低(750 OME,四分位距 [IQR] 575-900 OME 与 388 OME,IQR 350-389;中位数差值=362 OME;p < 0.001)。在指南实施前后,接受 TKA 的患者在 30 天内再开率方面没有差异(35%[349/1011]与 35%[141/399];p = 0.77);在接受 THA 的患者中,这种关系也相似(16%[129/811]与 17%[61/352];p = 0.55)。在控制相关患者水平因素后,我们发现实施机构指南是与开具≤400 OME 处方最相关的因素(调整后的优势比,36;95%置信区间,25-52;p < 0.001);尽管一些患者水平因素也与处方数量相关,但效应大小要小得多。
结论:本研究提供了一个概念验证,即减少术后阿片类药物处方开具的机构指南可以在短时间内改善接受关节置换术患者的术后护理。本报告评估了该项目实施的头 5 个月的经验;因此,需要进行更长时间的数据评估,以确定长期的指南遵守情况,以及该试点计划确定的截止值是否需要进一步细化,以适用于个别手术。
证据水平:2 级,治疗性研究。
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