Economic evaluation of deimplementation interventions: a systematic review.

IF 6.8 1区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Comlan Lucien Hountongbé, Jason Robert Guertin, Soualio Gnanou, Blanchard Conombo, Pier-Alexandre Tardif, Noah Michael Ivers, Rohit Gandhi, Lynne Moore
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引用次数: 0

Abstract

Background: Low-value practices, defined as tests or treatments that are used in practice despite not being supported by evidence, account for 20%-30% of healthcare expenditure; moreover, some identified low-value practices represent 16%-26% of primary care clinical services. Given the growing financial constraints healthcare systems face, evaluating the cost-effectiveness of interventions designed to reduce these practices is becoming urgent.

Objective: We aimed to synthesise data on the economic value of deimplementation interventions.

Methods: We evaluated the cost-effectiveness of interventions targeting the deimplementation of low-value practices among healthcare professionals and organisations (clinicians, hospitals and medical centres). Our comparator was either no intervention or a deimplementation intervention limited to a subset of the intervention components. Outcomes were incremental cost-effectiveness ratios, incremental cost-utility ratios and benefit-to-cost ratios. Studies where the intervention was dominant or dominated by the comparator were also considered. We developed search strategies for Cochrane, EMBASE, MEDLINE, CINAHL and Web of Science to February 2025. Pairs of independent reviewers sequentially screened titles, abstracts and full texts for eligibility and extracted data using a prepiloted extraction sheet. Methodological quality was assessed by two reviewers using the 19-item Consensus on Health Economic Criteria (CHEC), and results were synthesised visually using permutation matrices globally and for predefined subgroups.

Results: Of the 35 575 unique records identified, 19 met our eligibility criteria. Deimplementation interventions were found to be dominant (ie, effective with lower cost) in 10 evaluations (53%), potentially favourable (more effective with higher cost) in 8 (42%) and unfavourable in 1 (5%). Deimplementation interventions were more likely to be economically favourable in studies accounting for both medical and intervention costs, those targeting healthcare professionals and those with high methodological quality.

Conclusion: Our findings suggest that deimplementation interventions targeting low-value practices are highly likely to be cost-effective. However, the results should be interpreted with caution due to the low methodological quality of the studies and the lack of consideration of the societal perspective.

失效干预措施的经济评价:系统回顾。
背景:低价值做法,定义为尽管没有证据支持,但在实践中使用的检测或治疗,占卫生保健支出的20%-30%;此外,一些确定的低价值做法占初级保健临床服务的16%-26%。鉴于卫生保健系统面临的日益增长的财政限制,评估旨在减少这些做法的干预措施的成本效益变得紧迫。目的:我们的目的是综合数据的经济价值的去实施干预。方法:我们评估了针对医疗保健专业人员和组织(临床医生、医院和医疗中心)中低价值做法的实施的干预措施的成本效益。我们的比较国要么不进行干预,要么只对干预成分的一个子集进行去实施干预。结果是增量成本-效果比、增量成本-效用比和效益-成本比。干预措施占主导地位或由比较者主导的研究也被考虑在内。我们制定了Cochrane, EMBASE, MEDLINE, CINAHL和Web of Science到2025年2月的搜索策略。一对对独立审稿人依次筛选标题、摘要和全文的合格性,并使用预先编制的提取表提取数据。两名审稿人使用19项健康经济标准共识(CHEC)评估方法学质量,并使用全局排列矩阵和预定义子组直观地综合结果。结果:在确定的35 575个独特记录中,有19个符合我们的资格标准。在10项评估(53%)中,去执行干预措施占主导地位(即有效且成本较低),8项评估(42%)中潜在有利(更有效但成本较高),1项评估(5%)中不利。在考虑医疗和干预成本的研究中,针对医疗保健专业人员和具有高方法质量的研究,去实施干预措施更有可能在经济上有利。结论:我们的研究结果表明,针对低价值实践的去实施干预措施极有可能具有成本效益。然而,由于研究的方法学质量较低,缺乏对社会视角的考虑,结果应谨慎解释。
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来源期刊
BMJ Quality & Safety
BMJ Quality & Safety HEALTH CARE SCIENCES & SERVICES-
CiteScore
9.80
自引率
7.40%
发文量
104
审稿时长
4-8 weeks
期刊介绍: BMJ Quality & Safety (previously Quality & Safety in Health Care) is an international peer review publication providing research, opinions, debates and reviews for academics, clinicians and healthcare managers focused on the quality and safety of health care and the science of improvement. The journal receives approximately 1000 manuscripts a year and has an acceptance rate for original research of 12%. Time from submission to first decision averages 22 days and accepted articles are typically published online within 20 days. Its current impact factor is 3.281.
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