Limits...
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

population Expected Value of Perfect Information (pEVPI) and population Expected Value of Partial Perfect Information (pEVPPI) curve.FFT = Functional Family Therapy. CAFY = Criminal Activity Free Year. pEVPI = population Expected Value of Perfect Information. pEVPPI = population Expected Value of Partial Perfect Information.
© Copyright Policy
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC4493049&req=5

pone.0131255.g004: population Expected Value of Perfect Information (pEVPI) and population Expected Value of Partial Perfect Information (pEVPPI) curve.FFT = Functional Family Therapy. CAFY = Criminal Activity Free Year. pEVPI = population Expected Value of Perfect Information. pEVPPI = population Expected Value of Partial Perfect Information.

Mentions: Perfect information can be valued at different WTP values. The extent of the monetarized uncertainty surrounding the decision for a range of WTP values is represented in the pEVPI curve. Fig 4 presents the pEVPI curve for an eligible population of 3,820 adolescents. As an example we consider the point where research costs society €50 million (i.e. the pEVPI value at the y-axis in Fig 4). At this point further research would potentially be cost-effective if society were willing to pay more than €17,600 per CAFY (i.e. the value at the x-axis, if the pEVPI is €50 million). At lower values of the WTP per CAFY, the benefits of further research cannot offset the costs [11,42]. At a WTP of €39,000 per CAFY, the pEVPI shows a local maximum of €127 million. At this point, the parameter uncertainty in the model is the highest and thus decision uncertainty is highest, as already shown in the CEAF curve (Fig 3).


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)

population Expected Value of Perfect Information (pEVPI) and population Expected Value of Partial Perfect Information (pEVPPI) curve.FFT = Functional Family Therapy. CAFY = Criminal Activity Free Year. pEVPI = population Expected Value of Perfect Information. pEVPPI = population Expected Value of Partial Perfect Information.
© Copyright Policy
Related In: Results  -  Collection

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

pone.0131255.g004: population Expected Value of Perfect Information (pEVPI) and population Expected Value of Partial Perfect Information (pEVPPI) curve.FFT = Functional Family Therapy. CAFY = Criminal Activity Free Year. pEVPI = population Expected Value of Perfect Information. pEVPPI = population Expected Value of Partial Perfect Information.
Mentions: Perfect information can be valued at different WTP values. The extent of the monetarized uncertainty surrounding the decision for a range of WTP values is represented in the pEVPI curve. Fig 4 presents the pEVPI curve for an eligible population of 3,820 adolescents. As an example we consider the point where research costs society €50 million (i.e. the pEVPI value at the y-axis in Fig 4). At this point further research would potentially be cost-effective if society were willing to pay more than €17,600 per CAFY (i.e. the value at the x-axis, if the pEVPI is €50 million). At lower values of the WTP per CAFY, the benefits of further research cannot offset the costs [11,42]. At a WTP of €39,000 per CAFY, the pEVPI shows a local maximum of €127 million. At this point, the parameter uncertainty in the model is the highest and thus decision uncertainty is highest, as already shown in the CEAF curve (Fig 3).

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