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Value of Information Analysis Applied to the Economic Evaluation of Interventions Aimed at Reducing Juvenile Delinquency: An Illustration.

Eeren HV, Schawo SJ, Scholte RH, Busschbach JJ, Hakkaart L - PLoS ONE (2015)

Bottom Line: Further research can reduce that parameter uncertainty.Therefore, in this illustrative analysis, the value of information analysis determined that society should be willing to spend a maximum of €176 million in reducing decision uncertainty in the cost-effectiveness of the two interventions.Moreover, the results suggest that reducing uncertainty in some specific model parameters might be more valuable than in others.

View Article: PubMed Central - PubMed

Affiliation: Institute for Medical Technology Assessment, Erasmus University Rotterdam, Rotterdam, the Netherlands; Department of Psychiatry, section Medical Psychology and Psychotherapy, Erasmus Medical Center, Rotterdam, the Netherlands; Viersprong Institute for Studies on Personality Disorders (VISPD), Halsteren, the Netherlands.

ABSTRACT

Objectives: To investigate whether a value of information analysis, commonly applied in health care evaluations, is feasible and meaningful in the field of crime prevention.

Methods: Interventions aimed at reducing juvenile delinquency are increasingly being evaluated according to their cost-effectiveness. Results of cost-effectiveness models are subject to uncertainty in their cost and effect estimates. Further research can reduce that parameter uncertainty. The value of such further research can be estimated using a value of information analysis, as illustrated in the current study. We built upon an earlier published cost-effectiveness model that demonstrated the comparison of two interventions aimed at reducing juvenile delinquency. Outcomes were presented as costs per criminal activity free year.

Results: At a societal willingness-to-pay of €71,700 per criminal activity free year, further research to eliminate parameter uncertainty was valued at €176 million. Therefore, in this illustrative analysis, the value of information analysis determined that society should be willing to spend a maximum of €176 million in reducing decision uncertainty in the cost-effectiveness of the two interventions. Moreover, the results suggest that reducing uncertainty in some specific model parameters might be more valuable than in others.

Conclusions: Using a value of information framework to assess the value of conducting further research in the field of crime prevention proved to be feasible. The results were meaningful and can be interpreted according to health care evaluation studies. This analysis can be helpful in justifying additional research funds to further inform the reimbursement decision in regard to interventions for juvenile delinquents.

No MeSH data available.


Related in: MedlinePlus

Incremental cost-effectiveness plane for Course House compared with FFT (10,000 simulations).FFT = Functional Family Therapy CAFY = Criminal Activity Free Year.
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pone.0131255.g002: Incremental cost-effectiveness plane for Course House compared with FFT (10,000 simulations).FFT = Functional Family Therapy CAFY = Criminal Activity Free Year.

Mentions: The stochastic model resulted in the relative cost-effectiveness outcomes of the Course House intervention compared with FFT, represented as incremental costs/CAFY (Table 1; Fig 2). It showed that the Course House was more effective than FFT, but also produced higher costs. The cumulative number of CAFYs for the Course House exceeded the number of CAFYs for FFT by 0.7, while the incremental costs of the Course House exceeded those of FFT by €26,800, thereby positioning the intervention in the North East quadrant of the cost-effectiveness plane [35] (Fig 2). The incremental cost-effectiveness ratio (ICER) of the Course House compared with FFT was 39,000 €/CAFY.


Value of Information Analysis Applied to the Economic Evaluation of Interventions Aimed at Reducing Juvenile Delinquency: An Illustration.

Eeren HV, Schawo SJ, Scholte RH, Busschbach JJ, Hakkaart L - PLoS ONE (2015)

Incremental cost-effectiveness plane for Course House compared with FFT (10,000 simulations).FFT = Functional Family Therapy CAFY = Criminal Activity Free Year.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4493049&req=5

pone.0131255.g002: Incremental cost-effectiveness plane for Course House compared with FFT (10,000 simulations).FFT = Functional Family Therapy CAFY = Criminal Activity Free Year.
Mentions: The stochastic model resulted in the relative cost-effectiveness outcomes of the Course House intervention compared with FFT, represented as incremental costs/CAFY (Table 1; Fig 2). It showed that the Course House was more effective than FFT, but also produced higher costs. The cumulative number of CAFYs for the Course House exceeded the number of CAFYs for FFT by 0.7, while the incremental costs of the Course House exceeded those of FFT by €26,800, thereby positioning the intervention in the North East quadrant of the cost-effectiveness plane [35] (Fig 2). The incremental cost-effectiveness ratio (ICER) of the Course House compared with FFT was 39,000 €/CAFY.

Bottom Line: Further research can reduce that parameter uncertainty.Therefore, in this illustrative analysis, the value of information analysis determined that society should be willing to spend a maximum of €176 million in reducing decision uncertainty in the cost-effectiveness of the two interventions.Moreover, the results suggest that reducing uncertainty in some specific model parameters might be more valuable than in others.

View Article: PubMed Central - PubMed

Affiliation: Institute for Medical Technology Assessment, Erasmus University Rotterdam, Rotterdam, the Netherlands; Department of Psychiatry, section Medical Psychology and Psychotherapy, Erasmus Medical Center, Rotterdam, the Netherlands; Viersprong Institute for Studies on Personality Disorders (VISPD), Halsteren, the Netherlands.

ABSTRACT

Objectives: To investigate whether a value of information analysis, commonly applied in health care evaluations, is feasible and meaningful in the field of crime prevention.

Methods: Interventions aimed at reducing juvenile delinquency are increasingly being evaluated according to their cost-effectiveness. Results of cost-effectiveness models are subject to uncertainty in their cost and effect estimates. Further research can reduce that parameter uncertainty. The value of such further research can be estimated using a value of information analysis, as illustrated in the current study. We built upon an earlier published cost-effectiveness model that demonstrated the comparison of two interventions aimed at reducing juvenile delinquency. Outcomes were presented as costs per criminal activity free year.

Results: At a societal willingness-to-pay of €71,700 per criminal activity free year, further research to eliminate parameter uncertainty was valued at €176 million. Therefore, in this illustrative analysis, the value of information analysis determined that society should be willing to spend a maximum of €176 million in reducing decision uncertainty in the cost-effectiveness of the two interventions. Moreover, the results suggest that reducing uncertainty in some specific model parameters might be more valuable than in others.

Conclusions: Using a value of information framework to assess the value of conducting further research in the field of crime prevention proved to be feasible. The results were meaningful and can be interpreted according to health care evaluation studies. This analysis can be helpful in justifying additional research funds to further inform the reimbursement decision in regard to interventions for juvenile delinquents.

No MeSH data available.


Related in: MedlinePlus