AIM: To assess the impact of early intervention (EI) services on service costs for people with first-episode psychosis. METHODS: A decision model was constructed to map the care pathways following input from EI services and from standard care. A Markov process was used to run the model over 18 2-month cycles. Probabilities and costs for the model of admissions, readmissions and use of community services were obtained from the literature, routine sources and expert opinion. One-way and probabilistic sensitivity analyses were conducted to address uncertainty around the parameter estimates. RESULTS: The model estimated 1 year costs to be £9422 for EI and £14,394 for standard care. The respective figures over 3 years were £26,568 and £40,816. One-way sensitivity analyses revealed that the results were robust to changes in most parameters with the exception of the readmission rate. A relatively small decrease in the readmission rate for standard care patients would eliminate the cost saving. The probabilistic sensitivity analyses also showed that the results were robust to parameter changes. CONCLUSIONS: This study suggests cost savings associated with EI. However, caution is required as the model is relatively simple and relies on a number of assumptions.
AIM: To assess the impact of early intervention (EI) services on service costs for people with first-episode psychosis. METHODS: A decision model was constructed to map the care pathways following input from EI services and from standard care. A Markov process was used to run the model over 18 2-month cycles. Probabilities and costs for the model of admissions, readmissions and use of community services were obtained from the literature, routine sources and expert opinion. One-way and probabilistic sensitivity analyses were conducted to address uncertainty around the parameter estimates. RESULTS: The model estimated 1 year costs to be £9422 for EI and £14,394 for standard care. The respective figures over 3 years were £26,568 and £40,816. One-way sensitivity analyses revealed that the results were robust to changes in most parameters with the exception of the readmission rate. A relatively small decrease in the readmission rate for standard care patients would eliminate the cost saving. The probabilistic sensitivity analyses also showed that the results were robust to parameter changes. CONCLUSIONS: This study suggests cost savings associated with EI. However, caution is required as the model is relatively simple and relies on a number of assumptions.
Authors: Christopher J Cadham; Marie Knoll; Luz María Sánchez-Romero; K Michael Cummings; Clifford E Douglas; Alex Liber; David Mendez; Rafael Meza; Ritesh Mistry; Aylin Sertkaya; Nargiz Travis; David T Levy Journal: Med Decis Making Date: 2021-10-25 Impact factor: 2.749