Medical Cannabis Use and Healthcare Utilization Among Patients with Chronic Pain: A Causal Inference Analysis Using TMLE.

IF 2 Q3 PHARMACOLOGY & PHARMACY
Pharmacy Pub Date : 2025-07-15 DOI:10.3390/pharmacy13040096
Mitchell L Doucette, Emily Fisher, Junella Chin, Panagiota Kitsantas
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引用次数: 0

Abstract

Introduction: Chronic pain affects approximately 20% of U.S. adults, imposing significant burdens on individuals and healthcare systems. Medical cannabis has emerged as a potential therapy, yet its impact on healthcare utilization remains unclear.

Methods: This retrospective cohort study analyzed administrative data from a telehealth platform providing medical cannabis certifications across 36 U.S. states. Patients were classified as cannabis-exposed if they had used cannabis in the past year, while unexposed patients had no prior cannabis use. Outcomes included self-reported urgent care visits, emergency department (ED) visits, hospitalizations, and quality of life (QoL), measured using the CDC's Healthy Days measure. Targeted Maximum Likelihood Estimation with SuperLearner estimated causal effects, adjusting for numerous covariates.

Results: Medical cannabis users exhibited significantly lower healthcare utilization. Specifically, exposure was associated with a 2.0 percentage point reduction in urgent care visits (95% CI: -0.036, -0.004), a 3.2 percentage point reduction in ED visits (95% CI: -0.051, -0.012) and fewer unhealthy days per month (-3.52 days, 95% CI: -4.28, -2.76). Hospitalization rates trended lower but were not statistically significant. Covariate balance and propensity score overlap indicated well-fitting models.

Conclusions: Medical cannabis use was associated with reduced healthcare utilization and improved self-reported QoL among chronic pain patients.

慢性疼痛患者的医用大麻使用与医疗保健利用:基于TMLE的因果推理分析
慢性疼痛影响了大约20%的美国成年人,给个人和医疗保健系统带来了巨大的负担。医用大麻已成为一种潜在的治疗方法,但其对医疗保健利用的影响尚不清楚。方法:本回顾性队列研究分析了美国36个州提供医用大麻认证的远程医疗平台的管理数据。如果患者在过去一年中使用过大麻,则将其归类为大麻暴露者,而未接触过大麻的患者之前没有使用过大麻。结果包括自我报告的紧急护理访问,急诊(ED)访问,住院治疗和生活质量(QoL),使用疾病预防控制中心的健康日测量。目标最大似然估计与超级学习者估计因果关系,调整了许多协变量。结果:医用大麻使用者的医疗保健利用率显著降低。具体而言,暴露与急诊就诊减少2.0个百分点(95% CI: -0.036, -0.004),急诊科就诊减少3.2个百分点(95% CI: -0.051, -0.012)以及每月不健康天数减少(-3.52天,95% CI: -4.28, -2.76)相关。住院率呈下降趋势,但没有统计学意义。协变量平衡和倾向评分重叠表明模型拟合良好。结论:医用大麻的使用与慢性疼痛患者医疗保健利用率的降低和自我报告生活质量的改善有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Pharmacy
Pharmacy PHARMACOLOGY & PHARMACY-
自引率
9.10%
发文量
141
审稿时长
11 weeks
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