在乳腺癌和前列腺癌治疗期间,移动电子患者报告的结果和互动支持:来自两项随机对照试验的健康经济评价。

IF 3.3 Q2 ONCOLOGY
JMIR Cancer Pub Date : 2025-03-11 DOI:10.2196/53539
Marie-Therése Crafoord, Joakim Ekstrand, Kay Sundberg, Marie I Nilsson, Maria Fjell, Ann Langius-Eklöf
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引用次数: 0

摘要

背景:结合电子患者报告结果(ePROs)的癌症治疗期间支持性护理的数字干预措施可以增强症状的早期发现并促进及时的症状管理。但是,需要进行经济评价。目的:本研究旨在从支付方(斯德哥尔摩地区卫生保健组织)的角度对ePRO及互动支持应用程序进行成本-效用分析,并探讨其对患者医疗保健利用和成本的影响。方法:进行两项开放标签随机对照试验(rct),包括接受乳腺癌新辅助化疗的患者(B-RCT;N=149)和放疗治疗前列腺癌(P-RCT;N=150),从瑞典斯德哥尔摩2所大学医院的肿瘤诊所招募。将EORTC QLQ-C30评分映射到EQ-5D-3L,计算质量调整生命年(QALYs)。从管理数据库中获得的干预和实施成本以及医疗成本用于以三种方式计算增量成本-效果比(ICERs):包括所有医疗成本(ICERa),不包括非急性医疗成本(ICERb),不包括所有医疗成本(ICERc)。非参数自举法用于探索ICER的不确定性。通过将医疗费用分类为疾病相关或急性,对医疗费用进行了分析。结果:在两个RCT干预组中,与对照组相比,更少的QALYs丢失(p结论:ePRO和通过应用程序的交互式支持在低干预成本下产生了QALYs的小幅改善,并且可能具有成本效益,取决于所考虑的成本。患者医疗保健费用的巨大差异带来了估算的不确定性,妨碍了对成本效益的有力确定。需要从社会角度对成本效益进行更大规模的研究。该研究为癌症治疗期间的急性医疗保健利用提供了有价值的见解。试验注册:ClinicalTrials.gov NCT02479607;https://clinicaltrials.gov/ct2/show/NCT02479607, ClinicalTrials.gov NCT02477137;https://clinicaltrials.gov/ct2/show/NCT02477137.International注册报告标识符(irrid): RR2-10.1186/s12885-017-3450-y。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mobile Electronic Patient-Reported Outcomes and Interactive Support During Breast and Prostate Cancer Treatment: Health Economic Evaluation From Two Randomized Controlled Trials.

Background: Digital interventions for supportive care during cancer treatment incorporating electronic patient-reported outcomes (ePROs) can enhance early detection of symptoms and facilitate timely symptom management. However, economic evaluations are needed.

Objective: This study aims to conduct a cost-utility analysis of an app for ePRO and interactive support from the perspective of the payer (Region Stockholm Health Care Organization) and to explore its impact on patient health care utilization and costs.

Methods: Two open-label randomized controlled trials (RCTs) were conducted, including patients undergoing neoadjuvant chemotherapy for breast cancer (B-RCT; N=149) and radiotherapy for prostate cancer (P-RCT; N=150), recruited from oncology clinics at 2 university hospitals in Stockholm, Sweden. EORTC QLQ-C30 scores were mapped to EQ-5D-3L to calculate quality-adjusted life years (QALYs). Intervention and implementation costs and health care costs, obtained from an administrative database, were used to calculate incremental cost-effectiveness ratios (ICERs) in 3 ways: including all health care costs (ICERa), excluding nonacute health care costs (ICERb), and excluding health care costs altogether (ICERc). Nonparametric bootstrapping was used to explore ICER uncertainty. Health care costs were analyzed by classifying them as disease-related or acute.

Results: In both RCT intervention groups, fewer QALYs were lost compared with the control group (P<.001). In the B-RCT, the mean intervention cost was €92 (SD €2; €1=US $1.03). The mean cost for the intervention and all health care was €36,882 (SD €1032) in the intervention group and €35,427 (SD €959) in the control group (P<.001), with an ICERa of €202,368 (95% CI €152,008-€252,728). The mean cost for the intervention and acute health care was €3585 (SD €480) in the intervention group and €3235 (SD €494) in the control group (P<.001). ICERb was €49,903 (95% CI €37,049-€62,758) and ICERc was €13,213 (95% CI €11,145-€15,281); 22 out of 74 (30%) intervention group patients and 24 out of 75 (32%) of the control group patients required acute inpatient care for fever. In the P-RCT, the mean intervention cost was €43 (SD €0.2). The mean cost for the intervention and all health care was €3419 (SD €739) in the intervention group and €3537 (SD €689) in the control group (P<.001), with an ICERa of -€1,092,136 (95% CI -€3,274,774 to €1,090,502). The mean cost for the intervention and acute health care was €1219 (SD €593) in the intervention group and €802 (SD €281) in the control group (P<.001). ICERb was €745,987 (95% CI -€247,317 to €1,739,292) and ICERc was €13,118 (95% CI -68,468 to €94,704). As many as 10 out of the 75 (13%) intervention group patients had acute inpatient care, with the most common symptom being dyspnea, while 9 out of the 75 (12%) control group patients had acute inpatient care, with the most common symptom being urinary tract infection.

Conclusions: ePRO and interactive support via an app generated a small improvement in QALYs at a low intervention cost and may be cost-effective, depending on the costs considered. Considerable variability in patient health care costs introduced uncertainty around the estimates, preventing a robust determination of cost-effectiveness. Larger studies examining cost-effectiveness from a societal perspective are needed. The study provides valuable insights into acute health care utilization during cancer treatment.

Trial registration: ClinicalTrials.gov NCT02479607; https://clinicaltrials.gov/ct2/show/NCT02479607, ClinicalTrials.gov NCT02477137; https://clinicaltrials.gov/ct2/show/NCT02477137.

International registered report identifier (irrid): RR2-10.1186/s12885-017-3450-y.

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来源期刊
JMIR Cancer
JMIR Cancer ONCOLOGY-
CiteScore
4.10
自引率
0.00%
发文量
64
审稿时长
12 weeks
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