RAND Corporation, Boston, MA, USA.
Boston University Aram V. Chobanian & Edward Avedisian School of Medicine, Boston, MA, USA.
J Gen Intern Med. 2023 May;38(7):1681-1688. doi: 10.1007/s11606-023-08025-6. Epub 2023 Feb 6.
Insurance status may influence quality of opioid analgesic (OA) prescribing among patients seen by the same clinician.
To explore how high-risk OA prescribing varies by payer type among patients seeing the same prescriber and identify clinician characteristics associated with variable prescribing DESIGN: Retrospective cohort study using the 2016-2018 IQVIA Real World Data - Longitudinal Prescription PARTICIPANTS: New OA treatment episodes for individuals ≥ 12 years, categorized by payer and prescriber. We created three dyads: prescribers with ≥ 10 commercial insurance episodes and ≥ 10 Medicaid episodes; ≥ 10 commercial insurance episodes and ≥ 10 self-pay episodes; and ≥ 10 Medicaid episodes and ≥ 10 self-pay episodes.
MAIN OUTCOME(S) AND MEASURE(S): Rates of high-risk episodes (initial opioid episodes with > 7-days' supply or prescriptions with a morphine milliequivalent daily dose >90) and odds of being an unbalanced prescriber (prescribers with significantly higher percentage of high-risk episodes paid by one payer vs. the other payer) KEY RESULTS: There were 88,352 prescribers in the Medicaid/self-pay dyad, 172,392 in the Medicaid/commercial dyad, and 122,748 in the self-pay/commercial dyad. In the Medicaid/self-pay and the commercial-self-pay dyads, self-pay episodes had higher high-risk episode rates than Medicaid (16.1% and 18.4%) or commercial (22.7% vs. 22.4%). In the Medicaid/commercial dyad, Medicaid had higher high-risk episode rates (21.1% vs. 20.4%). The proportion of unbalanced prescribers was 11-12% across dyads. In adjusted analyses, surgeons and pain specialists were more likely to be unbalanced prescribers than adult primary care physicians (PCPs) in the Medicaid/self-paydyad (aOR 1.2, 95% CI 1.16-1.34 and aOR 1.2, 95% CI 1.03-1.34). For Medicaid/commercial and self-pay/commercial dyads, surgeons had lower odds of being unbalanced compared to PCPs (aOR 0.6, 95% CI 0.57-0.66 and aOR 0.6, 95% CI 0.61-0.68).
Clinicians prescribe high-risk OAs differently based on insurance type. The relationship between insurance and opioid prescribing quality goes beyond where patients receive care.
在接受同一临床医生治疗的患者中,保险状况可能会影响阿片类镇痛药(OA)处方的质量。
探讨在接受同一处方医生治疗的患者中,按付款人类型划分的高危 OA 处方差异,并确定与可变处方相关的临床医生特征。
使用 2016-2018 年 IQVIA 真实世界数据 - 纵向处方进行回顾性队列研究。
新的 OA 治疗发作,参与者年龄≥12 岁,按付款人和处方医生分类。我们创建了三个对子:至少有 10 个商业保险发作和至少 10 个医疗补助发作的处方医生;至少有 10 个商业保险发作和至少 10 个自付发作的处方医生;以及至少有 10 个医疗补助发作和至少 10 个自付发作的处方医生。
高危发作率(初始阿片类发作持续时间超过 7 天或每日吗啡毫克当量剂量超过 90 的处方)和成为不平衡处方医生的可能性(一个付款人支付的高危发作比例显著高于另一个付款人的处方医生)。
在医疗补助/自付对子中有 88352 名处方医生,在医疗补助/商业对子中有 172392 名处方医生,在自付/商业对子中有 122748 名处方医生。在医疗补助/自付和商业自付对子中,自付发作的高危发作率高于医疗补助(16.1%和 18.4%)或商业(22.7%比 22.4%)。在医疗补助/商业对子中,医疗补助的高危发作率较高(21.1%比 20.4%)。在所有对子中,不平衡处方医生的比例为 11-12%。在调整后的分析中,与成人初级保健医生(PCP)相比,外科医生和疼痛专家更有可能成为不平衡的处方医生(在医疗补助/自付对子中为 aOR 1.2,95%CI 1.16-1.34 和 aOR 1.2,95%CI 1.03-1.34)。对于医疗补助/商业和自付/商业对子,与 PCP 相比,外科医生成为不平衡处方医生的可能性较低(aOR 0.6,95%CI 0.57-0.66 和 aOR 0.6,95%CI 0.61-0.68)。
临床医生根据保险类型开具高危 OA 处方的方式不同。保险与阿片类药物处方质量之间的关系不仅仅取决于患者接受治疗的地点。