Washington State Institute for Public Policy
Communities That Care
Public Health & Prevention: Community-based
Benefit-cost estimates updated December 2016.  Literature review updated April 2012.
Communities that Care (CTC) is a coalition-based community prevention program that aims to prevent youth problem behaviors including underage drinking, tobacco use, violence, delinquency, school dropout, and substance abuse. CTC works through a community board to assess risk and protective factors among the youth in their community using a population-based survey of young people. The board works to implement tested and effective programs to address the issues and needs that are identified.
BENEFIT-COST
META-ANALYSIS
CITATIONS
The estimates shown are present value, life cycle benefits and costs. All dollars are expressed in the base year chosen for this analysis (2015). The chance the benefits exceed the costs are derived from a Monte Carlo risk analysis. The details on this, as well as the economic discount rates and other relevant parameters are described in our Technical Documentation.
Benefit-Cost Summary Statistics Per Participant
Benefits to:
Taxpayers $657 Benefits minus costs $1,853
Participants $709 Benefit to cost ratio $4.17
Others $1,066 Chance the program will produce
Indirect $6 benefits greater than the costs 80 %
Total benefits $2,438
Net program cost ($585)
Benefits minus cost $1,853
1In addition to the outcomes measured in the meta-analysis table, WSIPP measures benefits and costs estimated from other outcomes associated with those reported in the evaluation literature. For example, empirical research demonstrates that high school graduation leads to reduced crime. These associated measures provide a more complete picture of the detailed costs and benefits of the program.

2“Others” includes benefits to people other than taxpayers and participants. Depending on the program, it could include reductions in crime victimization, the economic benefits from a more educated workforce, and the benefits from employer-paid health insurance.

3“Indirect benefits” includes estimates of the net changes in the value of a statistical life and net changes in the deadweight costs of taxation.
Detailed Monetary Benefit Estimates Per Participant
Benefits from changes to:1 Benefits to:
Taxpayers Participants Others2 Indirect3 Total
Crime $257 $0 $617 $128 $1,002
Labor market earnings associated with high school graduation $329 $725 $332 $135 $1,521
Health care associated with smoking $105 $34 $130 $52 $322
Property loss associated with alcohol abuse or dependence $0 $2 $3 $0 $5
Costs of higher education ($35) ($52) ($16) ($17) ($120)
Adjustment for deadweight cost of program $0 $0 $0 ($292) ($292)
Totals $657 $709 $1,066 $6 $2,438
Detailed Annual Cost Estimates Per Participant
Annual cost Year dollars Summary
Program costs $103 2004 Present value of net program costs (in 2015 dollars) ($585)
Comparison costs $0 2004 Cost range (+ or -) 35 %
Weighted average of per-child costs across 12 Communities that Care (CTC) demonstration communities. Provided by M. Kuklinski, Social Development Research Group, January 2013. Earlier estimates (by 8th grade) were reported in Kukliniski, M.R., Briney, J.S., Hawkins, J.D., & Catalano, R.F., Cost-benefit analysis of Communities that Care outcomes at eight grade. Prevention Science, 13(2), 150-161.
The figures shown are estimates of the costs to implement programs in Washington. The comparison group costs reflect either no treatment or treatment as usual, depending on how effect sizes were calculated in the meta-analysis. The cost range reported above reflects potential variation or uncertainty in the cost estimate; more detail can be found in our Technical Documentation.
Estimated Cumulative Net Benefits Over Time (Non-Discounted Dollars)
The graph above illustrates the estimated cumulative net benefits per-participant for the first fifty years beyond the initial investment in the program. We present these cash flows in non-discounted dollars to simplify the “break-even” point from a budgeting perspective. If the dollars are negative (bars below $0 line), the cumulative benefits do not outweigh the cost of the program up to that point in time. The program breaks even when the dollars reach $0. At this point, the total benefits to participants, taxpayers, and others, are equal to the cost of the program. If the dollars are above $0, the benefits of the program exceed the initial investment.

Meta-analysis is a statistical method to combine the results from separate studies on a program, policy, or topic in order to estimate its effect on an outcome. WSIPP systematically evaluates all credible evaluations we can locate on each topic. The outcomes measured are the types of program impacts that were measured in the research literature (for example, crime or educational attainment). Treatment N represents the total number of individuals or units in the treatment group across the included studies.

An effect size (ES) is a standard metric that summarizes the degree to which a program or policy affects a measured outcome. If the effect size is positive, the outcome increases. If the effect size is negative, the outcome decreases.

Adjusted effect sizes are used to calculate the benefits from our benefit cost model. WSIPP may adjust effect sizes based on methodological characteristics of the study. For example, we may adjust effect sizes when a study has a weak research design or when the program developer is involved in the research. The magnitude of these adjustments varies depending on the topic area.

WSIPP may also adjust the second ES measurement. Research shows the magnitude of some effect sizes decrease over time. For those effect sizes, we estimate outcome-based adjustments which we apply between the first time ES is estimated and the second time ES is estimated. We also report the unadjusted effect size to show the effect sizes before any adjustments have been made. More details about these adjustments can be found in our Technical Documentation.

Meta-Analysis of Program Effects
Outcomes measured Primary or secondary participant No. of effect sizes Treatment N Adjusted effect sizes (ES) and standard errors (SE) used in the benefit-cost analysis Unadjusted effect size (random effects model)
First time ES is estimated Second time ES is estimated
ES SE Age ES SE Age ES p-value
Crime 1 1926 -0.059 0.046 17 -0.059 0.046 27 -0.154 0.024
Alcohol use in high school 1 1917 -0.082 0.046 17 -0.082 0.046 18 -0.217 0.048
Smoking in high school 1 2227 -0.051 0.042 17 -0.051 0.042 18 -0.135 0.048
Cannabis use in high school 1 2395 -0.033 0.040 17 -0.033 0.040 18 -0.085 0.253
Illicit drug use in high school 1 2372 -0.019 0.041 17 -0.019 0.041 18 -0.050 0.345
Citations Used in the Meta-Analysis

Kuklinski, M.R., Fagan, A.A., Hawkins, J.D., Briney, J.S., & Catalano, R.F. (2015). Benefit-cost analysis of a randomized evaluation of Communities That Care: monetizing intervention effects on the initiation of delinquency and substance use through grade 12. Journal of Experimental Criminology, 11(2), 165-192.

For more information on the methods
used please see our Technical Documentation.
360.664.9800
institute@wsipp.wa.gov