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Developing a Health-Economic Model to Assess Cost-Effectiveness of Preventive Interventions for Children of Parents
Yara M Meijer1, Ben F M Wijnen2, Anne Kleijburg3
1Trimbos Institute, The Netherlands Institute of Mental Health and Addiction, Utrecht, The Netherlands; Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands.
Insights
Preventive group-based cognitive behavioral therapy (CBT) for children of parents with mental illness (COPMI) is a cost-effective strategy. This intervention shows a high probability of being cost-effective, supporting mental health care decisions.
Area of Science:
- Public Health
- Mental Health Economics
- Preventive Medicine
Background:
- Children of parents with mental illness (COPMI) have an elevated risk of developing mental health disorders.
- Existing preventive interventions for COPMI lack comprehensive cost-effectiveness analyses and long-term outcome modeling.
- Societal and healthcare costs associated with untreated mental disorders in COPMI are substantial.
Purpose of the Study:
- To develop and apply a Markov model for evaluating the cost-effectiveness of preventive interventions targeting COPMI in the Netherlands.
- To simulate long-term health and economic outcomes for COPMI from healthcare and societal perspectives.
- To assess the cost-utility of a group-based cognitive behavioral therapy (CBT) intervention for COPMI.
Main Methods:
- A decision-analytic Markov model was constructed using data from the Avon Longitudinal Study of Parents and Children.
- The model simulates COPMI progression through health states (healthy, depression/anxiety, comorbidity, remission, death) over a 28-year period (ages 7-35).
- Cost-effectiveness was evaluated using quality-adjusted life years (QALYs) and incremental cost-effectiveness ratios (ICERs), comparing group CBT to a reference scenario.
Main Results:
- The group-based CBT intervention resulted in an additional 0.02 QALYs at an incremental cost of €188 per patient.
- The incremental cost-effectiveness ratio (ICER) was calculated at €9,495 per QALY.
- There was a 74% probability that the CBT intervention would be cost-effective at a willingness-to-pay threshold of €20,000 per QALY.
Conclusions:
- The developed Markov model offers a flexible framework for assessing the cost-utility of various COPMI interventions.
- Group-based cognitive behavioral therapy (CBT) appears to be a potentially cost-effective strategy for preventing mental disorders in children of parents with mental illness.
- The model is available for academic use to aid informed decision-making in mental health care for COPMI.
Objectives:
Children of parents with a mental illness (COPMI) face a higher risk of developing mental disorders, leading to significant long-term societal and health-related costs. Although preventive interventions exist, few studies assess their cost-effectiveness, and, to our knowledge, none model long-term outcomes. This study aims to develop a Markov model to evaluate the cost-effectiveness of preventive interventions for COPMI in The Netherlands.
Methods:
A decision-analytic model was constructed using data from the Avon Longitudinal Study of Parents and Children. The model simulates COPMI progression over time, with health states including healthy, depression/anxiety, comorbidity, remission, and death. The time horizon spans 28 years, from ages 7 to 35, and outcomes are evaluated from both healthcare and societal perspectives. Results are expressed as total costs, quality-adjusted life-years (QALYs), and incremental cost-effectiveness ratios. A group-based cognitive behavioral therapy (GB-CBT) intervention was evaluated against a reference scenario.
Results:
The preventive CBT intervention yielded an additional 0.02 QALYs at an additional cost of €188 per patient, resulting in an incremental cost-effectiveness ratio of €9495 per QALY. The intervention had a 74% probability of being cost-effective at a willingness-to-pay threshold of €20 000 per QALY.
Conclusions:
The Markov model provides a flexible tool for evaluating the cost-utility of user-defined COPMI interventions to support informed decision making in mental health care. It is freely available for academic purposes from the authors upon request. Results suggest GB-CBT may be a cost-effective strategy for preventing mental disorders in COPMI.
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