Cost-effectiveness of implementing a suicide prediction tool (OxMIS) in severe mental illness: economic modelling study
<p>Background Cost-effectiveness analysis needs to be considered when introducing new tools and treatments to clinical services. The number of new assessment tools in mental health has rapidly expanded, including in suicide risk assessment. Such suicide-based assessments, when linked to preven...
| Main Authors: | , , , |
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| Format: | Journal article |
| Language: | English |
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Cambridge University Press
2022
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| _version_ | 1797109244246360064 |
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| author | Botchway, S Tsiachristas, A Pollard, J Fazel, S |
| author_facet | Botchway, S Tsiachristas, A Pollard, J Fazel, S |
| author_sort | Botchway, S |
| collection | OXFORD |
| description | <p>Background Cost-effectiveness analysis needs to be considered when introducing new tools and treatments to clinical services. The number of new assessment tools in mental health has rapidly expanded, including in suicide risk assessment. Such suicide-based assessments, when linked to preventative interventions, are integral to high quality mental health care for people with severe mental illness (SMI). We examined the cost implications of implementing OXMIS, an evidence-based,scalable suicide risk assessment tool that provides probabilistic estimates of suicide risk over 12 months for people with SMI in England. Methods We developed a decision analytic model using secondary data to estimate the potential costeffectiveness of incorporating OxMIS into clinical decision-making in secondary care as compared to usual care. Cost-effectiveness was measured in terms of costs per quality adjusted life years (QALYs) gained. Uncertainty was addressed with deterministic and probabilistic sensitivity analysis. Results Conducting suicide risk assessment with OxMIS was potentially cheaper than clinical risk assessment alone by £250 (95% confidence interval, -786;31) to £599 (-1,321;-156) (in 2020-2021 prices) per person with SMI and associated with a small increase in quality of life (0.01 (-0.03;0.05) to 0.01 QALY, (-0.04;0.07)). The estimated incremental cost-effectiveness ratio of implementing OxMIS was cost saving. Using probabilistic sensitivity analysis, 99.96% of 10,000 simulations remained cost saving. Conclusion Cost-effectiveness analysis can be conducted on risk prediction models. Implementing one such model that focuses on suicide risk in a high-risk population can lead to cost savings and improved health outcomes, especially if explicitly linked to preventative treatments.</p> |
| first_indexed | 2024-03-07T07:39:03Z |
| format | Journal article |
| id | oxford-uuid:36e31b94-8e9b-48d7-a7b8-64885c775404 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T07:39:03Z |
| publishDate | 2022 |
| publisher | Cambridge University Press |
| record_format | dspace |
| spelling | oxford-uuid:36e31b94-8e9b-48d7-a7b8-64885c7754042023-04-06T09:36:40ZCost-effectiveness of implementing a suicide prediction tool (OxMIS) in severe mental illness: economic modelling studyJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:36e31b94-8e9b-48d7-a7b8-64885c775404EnglishSymplectic ElementsCambridge University Press2022Botchway, STsiachristas, APollard, JFazel, S<p>Background Cost-effectiveness analysis needs to be considered when introducing new tools and treatments to clinical services. The number of new assessment tools in mental health has rapidly expanded, including in suicide risk assessment. Such suicide-based assessments, when linked to preventative interventions, are integral to high quality mental health care for people with severe mental illness (SMI). We examined the cost implications of implementing OXMIS, an evidence-based,scalable suicide risk assessment tool that provides probabilistic estimates of suicide risk over 12 months for people with SMI in England. Methods We developed a decision analytic model using secondary data to estimate the potential costeffectiveness of incorporating OxMIS into clinical decision-making in secondary care as compared to usual care. Cost-effectiveness was measured in terms of costs per quality adjusted life years (QALYs) gained. Uncertainty was addressed with deterministic and probabilistic sensitivity analysis. Results Conducting suicide risk assessment with OxMIS was potentially cheaper than clinical risk assessment alone by £250 (95% confidence interval, -786;31) to £599 (-1,321;-156) (in 2020-2021 prices) per person with SMI and associated with a small increase in quality of life (0.01 (-0.03;0.05) to 0.01 QALY, (-0.04;0.07)). The estimated incremental cost-effectiveness ratio of implementing OxMIS was cost saving. Using probabilistic sensitivity analysis, 99.96% of 10,000 simulations remained cost saving. Conclusion Cost-effectiveness analysis can be conducted on risk prediction models. Implementing one such model that focuses on suicide risk in a high-risk population can lead to cost savings and improved health outcomes, especially if explicitly linked to preventative treatments.</p> |
| spellingShingle | Botchway, S Tsiachristas, A Pollard, J Fazel, S Cost-effectiveness of implementing a suicide prediction tool (OxMIS) in severe mental illness: economic modelling study |
| title | Cost-effectiveness of implementing a suicide prediction tool (OxMIS) in severe mental illness: economic modelling study |
| title_full | Cost-effectiveness of implementing a suicide prediction tool (OxMIS) in severe mental illness: economic modelling study |
| title_fullStr | Cost-effectiveness of implementing a suicide prediction tool (OxMIS) in severe mental illness: economic modelling study |
| title_full_unstemmed | Cost-effectiveness of implementing a suicide prediction tool (OxMIS) in severe mental illness: economic modelling study |
| title_short | Cost-effectiveness of implementing a suicide prediction tool (OxMIS) in severe mental illness: economic modelling study |
| title_sort | cost effectiveness of implementing a suicide prediction tool oxmis in severe mental illness economic modelling study |
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