Kularatna Sanjeewa, Jadambaa Amarzaya, Senanayake Sameera, Brain David, Hawker Nadia, Kasparian Nadine A, Abell Bridget, Auld Benjamin, Eagleson Karen, Justo Robert, McPhail Steven M
Australian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health and Social Work, Queensland University of Technology, Brisbane, QLD, Australia.
Metro South Health, Queensland Health, Brisbane, QLD, Australia.
Clinicoecon Outcomes Res. 2022 Oct 18;14:665-682. doi: 10.2147/CEOR.S370311. eCollection 2022.
The provision of effective care models for children with neurodevelopmental delay or disability can be challenging in resource constrained healthcare systems. Economic evaluations have an important role in informing resource allocation decisions. This review systematically examined the scope and methods of economic models evaluating interventions for supporting neurodevelopment among children with common neurodevelopmental disorders and identified methods of economic models and presented policy implications. This scoping review employed the Arksey and O'Malley framework and aligned with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR). Four electronic databases were systematically searched to identify eligible model-based economic evaluations of neurodevelopmental care models published since 2000. The Consolidated Health Economic Evaluation Reporting Standards (CHEERS) checklist was used to assess quality of reporting. Data were systematically extracted, tabulated, and qualitatively synthesised across diagnostic categories. Searches identified 1431 unique articles. Twelve studies used a decision analytic model to evaluate care for neurodevelopmental disorders and were included in the review. Included studies focused on attention-deficit/hyperactivity disorder (ADHD, n=6), autism spectrum disorder (ASD, n=3), cerebral palsy (n=2), and dyslexia (n=1). The most used decision analytic modelling approach was a Markov model (n=6), followed by a decision tree (n=3), and a combination of decision tree and Markov model (n=3). Most studies (n=7) adopted a societal perspective for reporting costs. None of the reviewed studies modelled impact on families and caregivers. Four studies reported cost-savings, three identified greater quality of life, and three identified cost increases.
在资源有限的医疗保健系统中,为神经发育迟缓或残疾儿童提供有效的护理模式可能具有挑战性。经济评估在为资源分配决策提供信息方面发挥着重要作用。本综述系统地研究了评估常见神经发育障碍儿童神经发育支持干预措施的经济模型的范围和方法,确定了经济模型的方法并提出了政策建议。本范围综述采用了阿克西和奥马利框架,并与系统评价和元分析扩展的首选报告项目(PRISMA-ScR)保持一致。系统检索了四个电子数据库,以识别自2000年以来发表的基于模型的神经发育护理模型的合格经济评估。使用综合卫生经济评估报告标准(CHEERS)清单来评估报告质量。对数据进行系统提取、制表,并按诊断类别进行定性综合。检索共识别出1431篇独特文章。12项研究使用决策分析模型来评估神经发育障碍的护理,并被纳入综述。纳入的研究集中在注意力缺陷多动障碍(ADHD,n = 6)、自闭症谱系障碍(ASD,n = 3)、脑瘫(n = 2)和诵读困难(n = 1)。最常用的决策分析建模方法是马尔可夫模型(n = 6),其次是决策树(n = 3),以及决策树和马尔可夫模型相结合的方法(n = 3)。大多数研究(n = 7)采用社会视角报告成本。所审查的研究均未对家庭和照顾者的影响进行建模。四项研究报告了成本节约,三项研究确定了更高的生活质量,三项研究确定了成本增加。