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A framework for conducting economic evaluations alongside natural experiments

Dados Bibliográficos

ID4601147
AutoresManuela Deidda (0000-0002-0921-6970), Claudia Geue (0000-0003-2243-0733), Noemi Kreif (0000-0001-9008-5690), Ruth Dundas (0000-0002-3836-4286), Emma Mcintosh (0000-0001-6340-3083)
Ano2019
Volume220
Páginas353-361
Data de publicação2019-01-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoSocial Science & Medicine (JOURNAL)
Identificadores do periódicoISSN: 0277-9536 • E-ISSN: 1873-5347
EditoraElsevier BV (PUBLISHER)
DOI10.1016/j.socscimed.2018.11.032
PMID30513485
OpenAlexW2902032692
IdiomaEN
Citações recebidas5
Referências citadas60

Internationally, policy makers are increasingly focussed on reducing the detrimental consequences and rising costs associated with unhealthy diets, inactivity, smoking, alcohol and other risk factors on the health of their populations. This has led to an increase in the demand for evidence-based, cost-effective Population Health Interventions (PHIs) to reverse this trend. Given that research designs such as randomised controlled trials (RCTs) are often not suited to the evaluation of PHIs, Natural Experiments (NEs) are now frequently being used as a design to evaluate such complex, preventive PHIs. However, current guidance for economic evaluation focusses on RCT designs and therefore does not address the specific challenges of NE designs. Using such guidance can lead to sub-optimal design, data collection and analysis for NEs, leading to bias in the estimated effectiveness and cost-effectiveness of the PHI. As a consequence, there is a growing recognition of the need to identify a robust methodological framework for the design and conducting of economic evaluations alongside such NEs. This paper outlines the challenges inherent to the design and conduct of economic evaluations of PHIs alongside NEs, providing a comprehensive framework and outlining a research agenda in this area

Business · Clinical study design · Clinical trial · Economic evaluation · Economics · Environmental economics · Environmental health · Management science · Natural experiment · Population · Psychological intervention · Public economics · Public health · Randomized experiment · Research design · Risk analysis (engineering · Sociology · Advanced Causal Inference Techniques · Economic and Environmental Valuation · Health Systems, Economic Evaluations, Quality of Life · Medicine · Nursing

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Obras citantes distintas5
Citações por ano1
Intervalo de citações2021 - 2026 (6)
Velocidade de citaçãocurrent
Altamente citadoNão
Tipos de citaçãoNeutras: 5
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