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Journal Article

Citation

Hogan N, Knapp M, McDaid D, Davies M, Brewin CR. BMJ Open 2021; 11(10): e049472.

Copyright

(Copyright © 2021, BMJ Publishing Group)

DOI

10.1136/bmjopen-2021-049472

PMID

34620659

Abstract

OBJECTIVES: Post-traumatic stress disorder (PTSD) is commonly experienced in the aftermath of major incidents such as terrorism and pandemics. Well-established principles of response include effective and scalable treatment for individuals affected by PTSD. In England, such responses have combined proactive outreach, screening and evidence-based interventions (a 'screen-and-treat' approach), but little is known about its cost-effectiveness. The objective of this paper is to report the first systematic attempt to assess the cost-effectiveness of this approach.

METHODS: A decision modelling analysis was undertaken to estimate the costs per quality-adjusted life-year (QALY) gained from a screen-and-treat approach compared with treatment-as-usual, the latter involving identification of PTSD by general practitioners and referral to psychological therapy services. Model input variables were drawn from relevant empirical studies in the context of terrorism and the unit costs of health and social care in England. The model was run over a 5-year time horizon for a hypothetical cohort of 1000 exposed adults from the perspective of the National Health Service and Personal Social Services in England.

RESULTS: The incremental cost per QALY gained was £7931. This would be considered cost-effective 88% of the time at a willingness-to-pay threshold of £20 000 per QALY gained, the threshold associated with the National Institute for Health and Care Excellence in England. Sensitivity analysis confirmed this result was robust.

CONCLUSIONS: A screen-and-treat approach for identifying and treating PTSD in adults following terrorist attacks appears cost-effective in England compared with treatment-as-usual through conventional primary care routes. Although this finding was in the context of terrorism, the implications might be translatable into other major incident-related scenarios including the current COVID-19 pandemic.


Language: en

Keywords

mental health; COVID-19; health economics

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