精神分裂症医疗补助受益人抗精神病药物患者自付费用的横断面研究。

IF 1.9 Q3 PHARMACOLOGY & PHARMACY
Drugs - Real World Outcomes Pub Date : 2023-09-01 Epub Date: 2023-06-08 DOI:10.1007/s40801-023-00376-0
Dee Lin, Dominic Pilon, Laura Morrison, Aditi Shah, Marie-Hélène Lafeuille, Patrick Lefebvre, Carmela Benson
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引用次数: 0

摘要

背景:患者负担能力是精神分裂症患者获得治疗的一个重要非临床考虑因素。目的:本研究评估并测量了精神分裂症医疗补助受益人中抗精神病药物的自付费用。方法:在MarketScan®医疗补助数据库(2018年1月1日至2018年12月31日)中确定诊断为精神分裂症、申请AP≥1次且连续符合医疗补助资格的成年人。OOP AP药房成本(2019美元)标准化为30天供应。结果通过给药途径[ROA;口服液(OAPs)、长效注射剂(LAIs)]、ROAs内的仿制药/品牌状态以及LAIs内的给药计划进行了描述性报告。描述了AP应占OOP总成本(药房和医疗)的比例。结果:2018年,48656名精神分裂症医疗补助受益人被确认(平均年龄46.7岁,41.1%为女性,43.4%为黑人)。平均年度OOP总成本为59.97美元,其中6.65美元为AP应占成本。总体而言,39.2%、38.3%和42.3%的有相应索赔的受益人的任何AP、OAP和LAI的OOP成本分别大于0美元。OAP和LAI的平均OOP费用分别为0.64美元和0.86美元。根据LAI给药计划,每月两次、每月一次、每2个月一次和每3个月一一次的LAI的平均OOP成本PPPC分别为0.95美元、0.90美元、0.57美元和0.39美元。在ROA和仿制药/品牌状态中,假设完全依从的受益人每年每位患者的OOP AP预计成本在4.52美元至13.70美元之间,占OOP总成本的25%以下。结论:医疗补助受益人的OOP AP费用只占OOP总费用的一小部分。给药时间较长的LAI的平均OOP成本在数字上较低,在所有AP中,每3个月一次的LAI成本最低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A Cross-Sectional Study of Patient Out-of-Pocket Costs for Antipsychotics Among Medicaid Beneficiaries with Schizophrenia.

A Cross-Sectional Study of Patient Out-of-Pocket Costs for Antipsychotics Among Medicaid Beneficiaries with Schizophrenia.

A Cross-Sectional Study of Patient Out-of-Pocket Costs for Antipsychotics Among Medicaid Beneficiaries with Schizophrenia.

A Cross-Sectional Study of Patient Out-of-Pocket Costs for Antipsychotics Among Medicaid Beneficiaries with Schizophrenia.

Background: Patient affordability is an important nonclinical consideration for treatment access among patients with schizophrenia.

Objective: This study evaluated and measured out-of-pocket (OOP) costs for antipsychotics (APs) among Medicaid beneficiaries with schizophrenia.

Methods: Adults with a schizophrenia diagnosis, ≥ 1 AP claim, and continuous Medicaid eligibility were identified in the MarketScan® Medicaid Database (1 January 2018-31 December 2018). OOP AP pharmacy costs ($US 2019) were normalized for a 30-day supply. Results were descriptively reported by route of administration [ROA; orals (OAPs), long-acting injectables (LAIs)], generic/branded status within ROAs, and dosing schedule within LAIs. The proportion of total (pharmacy and medical) OOP costs AP-attributable was described.

Results: In 2018, 48,656 Medicaid beneficiaries with schizophrenia were identified (mean age 46.7 years, 41.1% female, 43.4% Black). Mean annual total OOP costs were $59.97, $6.65 of which was AP attributable. Overall, 39.2%, 38.3%, and 42.3% of beneficiaries with a corresponding claim had OOP costs > $0 for any AP, OAP, and LAI, respectively. Mean OOP costs per patient per 30-day claim (PPPC) were $0.64 for OAPs and $0.86 for LAIs. By LAI dosing schedule, mean OOP costs PPPC were $0.95, $0.90, $0.57, and $0.39 for twice-monthly, monthly, once-every-2-months, and once-every-3-months LAIs, respectively. Across ROAs and generic/branded status, projected OOP AP costs per-patient-per-year for beneficiaries assumed fully adherent ranged from $4.52 to $13.70, representing < 25% of total OOP costs.

Conclusion: OOP AP costs for Medicaid beneficiaries represented a small fraction of total OOP costs. LAIs with longer dosing schedules had numerically lower mean OOP costs, which were lowest for once-every-3-months LAIs among all APs.

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来源期刊
Drugs - Real World Outcomes
Drugs - Real World Outcomes PHARMACOLOGY & PHARMACY-
CiteScore
3.60
自引率
5.00%
发文量
49
审稿时长
8 weeks
期刊介绍: Drugs - Real World Outcomes targets original research and definitive reviews regarding the use of real-world data to evaluate health outcomes and inform healthcare decision-making on drugs, devices and other interventions in clinical practice. The journal includes, but is not limited to, the following research areas: Using registries/databases/health records and other non-selected observational datasets to investigate: drug use and treatment outcomes prescription patterns drug safety signals adherence to treatment guidelines benefit : risk profiles comparative effectiveness economic analyses including cost-of-illness Data-driven research methodologies, including the capture, curation, search, sharing, analysis and interpretation of ‘big data’ Techniques and approaches to optimise real-world modelling.
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