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Prevention Science

Erschienen in:

01.12.2014

Research Priorities for Economic Analyses of Prevention: Current Issues and Future Directions

verfasst von: D. Max Crowley, Laura Griner Hill, Margaret R. Kuklinski, Damon E. Jones

Erschienen in: Prevention Science | Ausgabe 6/2014

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Abstract

In response to growing interest in economic analyses of prevention efforts, a diverse group of prevention researchers, economists, and policy analysts convened a scientific panel, on “Research Priorities in Economic Analysis of Prevention” at the 19th annual conference of the Society for Prevention Research. The panel articulated four priorities that, if followed in future research, would make economic analyses of prevention efforts easier to compare and more relevant to policymakers and community stakeholders. These priorities are: (1) increased standardization of evaluation methods, (2) improved economic valuation of common prevention outcomes, (3) expanded efforts to maximize evaluation generalizability and impact as well as (4) enhanced transparency and communicability of economic evaluations. In this paper, we define three types of economic analyses in prevention, provide context and rationale for these four priorities as well as related sub-priorities, and discuss the challenges inherent in meeting them.

Adler, M. D., & Posner, E. A. (1999). Rethinking cost–benefit analysis. The Yale Law Journal, 109, 165. doi:10.2307/797489.CrossRef

Akerlund, K. M. (2000). Prevention program sustainability: The state’s perspective. Journal of Community Psychology, 28, 353–362. doi:10.1002/(SICI)1520-6629(200005)28:3<353::AID-JCOP9>3.0.CO;2-6.CrossRef

Anderson, D., Bowland, B., Cartwright, W., & Bassin, G. (1998). Service-level costing of drug abuse treatment. Journal of Substance Abuse Treatment, 15, 201–211. doi:10.1016/S0740-5472(97)00189-X.CrossRefPubMed

Aos, S., Lee, S., Drake, E. K., Pennucci, A., Klima, T., Millier, M., … Burley, M. (2011). Return on Investment: Evidence-Based Options to Improve Statewide Outcomes. Retrieved from http://www.wsipp.wa.gov/pub.asp?docid=11-07-1201

Aos, S., Lieb, R., Mayfield, J., Miller, M., & Pennucci, A. (2004). Benefits and Costs of Prevention and Early Intervention Programs for Youth. Retrieved from http://www.wsipp.wa.gov/pub.asp?docid=04-07-3901

Armstrong, R., Waters, E., Moore, L., Riggs, E., Cuervo, L. G., Lumbiganon, P., & Hawe, P. (2008). Improving the reporting of public health intervention research: Advancing TREND and CONSORT. Journal of Public Health, 30, 103–109. doi:10.1093/pubmed/fdm082.CrossRefPubMed

August, G. J., Bloomquist, M. L., Lee, S. S., Realmuto, G. M., & Hektner, J. M. (2006). Can evidence-based prevention programs be sustained in community practice settings? The early risers’ advanced-stage effectiveness trial. Prevention Science, 7, 151–165. doi:10.1007/s11121-005-0024-z.CrossRefPubMed

Beatty, A. S. (2009). Strengthening benefit-cost analysis for early childhood interventions workshop summary. Washington, D.C.: National Academies Press.

Belfield, C., Nores, M., Barnett, S., & Scheweinhart, L. (2006). The high/scope Perry preschool program: Cost–benefit analysis using data from the age-40 follow up. Journal of Human Resources, 41, 162–190.CrossRef

Bierman, K. L., Coie, J. D., Dodge, K. A., Foster, E. M., Greenberg, M. T., Lochman, J. E., & Pinderhughes, E. E. (2004). The effects of the fast track program on serious problem outcomes at the end of Elementary School. Journal of Clinical Child and Adolescent Psychology, 33, 650–661. doi:10.1207/s15374424jccp3304_1.CrossRefPubMed

Briggs, A., Sculpher, M., & Buxton, M. (1994). Uncertainty in the economic evaluation of health care technologies: The role of sensitivity analysis. Health Economics, 3, 95–104. doi:10.1002/hec.4730030206.CrossRefPubMed

Brouwer, W. B. F., Koopmanschap, M. A., & Rutten, F. F. H. (1997). Productivity costs in cost-effectiveness analysis: Numerator or denominator: A further discussion. Health Economics, 6, 511–514. doi:10.1002/(SICI)1099-1050(199709)6:5<511::AID-HEC297>3.0.CO;2-K.CrossRefPubMed

Bureau of Labor Statistics and the Census Bureau. (2012). Current Population Survey (CPS). Retrieved from http://www.census.gov/cps/

Claxton, K., Sculpher, M., Culyer, A., McCabe, C., Briggs, A., Akehurst, R., & Brazier, J. (2006). Discounting and cost-effectiveness in NICE—Stepping back to sort out a confusion. Health Economics, 15, 1–4. doi:10.1002/hec.1081.CrossRefPubMed

Cochrane Collaboration. (2012). Health Economic Evaluations Database (HEED) extended to all Cochrane contributors. Campbell & Cochrane Economics Methods Group. Retrieved from http://www.cochrane.org/news/blog/health-economic-evaluations-database-heed-extended-all-cochrane-contributors

Cole, S., & Hernan, M. (2008). Constructing inverse probability weights for marginal structural models. American Journal of Epidemiology, 168, 656–664.PubMedCentralCrossRefPubMed

Cookson, R., Drummond, M., & Weatherly, H. (2009). Explicit incorporation of equity considerations into economic evaluation of public health interventions. Health Economics, Policy and Law, 4(02), 231. doi:10.1017/S1744133109004903

Corso, P., Mercy, J., Simon, T., Finkelstein, E., & Miller, T. (2007). Medical Costs and Productivity Losses Due to Interpersonal and Self-Directed Violence in the United States. American Journal of Preventive Medicine, 32(6), 474–482.e2. doi:10.1016/j.amepre.2007.02.010

Corso, P. S., Fang, X., & Mercy, J. A. (2011). Benefits of preventing a death associated with child maltreatment: Evidence from willingness-to-pay survey data. American Journal of Public Health, 101, 487–490. doi:10.2105/AJPH.2010.196584.PubMedCentralCrossRefPubMed

Crowley, D. M., Jones, D. E., Greenberg, M. T., Feinberg, M. E., & Spoth, R. (2012). Resource consumption of a diffusion model for prevention programs: The prosper delivery system. Journal of Adolescent Health, 50, 256–263. doi:10.1016/j.jadohealth.2011.07.001.PubMedCentralCrossRefPubMed

Crowley, D. M., Coffman, D. L., Feinberg, M. E., Greenberg, M. T., & Spoth, R. L. (2013). Evaluating the impact of implementation factors on family-based prevention programming: Methods for strengthening causal inference. Prevention Science. doi:10.1007/s11121-012-0352-8.

Diehr, P., Yanez, D., Ash, A., Hornbrook, M., & Lin, D. Y. (1999). Methods for analyzing health care utilization and costs. Annual Review of Public Health, 20, 125–144. doi:10.1146/annurev.publhealth.20.1.125.CrossRefPubMed

Dino, G., Horn, K., Abdulkadri, A., Kalsekar, I., & Branstetter, S. (2008). Cost-effectiveness analysis of the not on tobacco program for adolescent smoking cessation. Prevention Science, 9, 38–46. doi:10.1007/s11121-008-0082-0.CrossRefPubMed

Doubilet, P., Begg, C. B., Weinstein, M. C., Braun, P., & McNeil, B. J. (1985). Probabilistic sensitivity analysis using Monte Carlo simulation. A practical approach. Medical Decision Making: An International Journal of the Society for Medical Decision Making, 5, 157–177.CrossRef

Drummond, M. F. (2005). Methods for the economic evaluation of health care programmes. Oxford: Oxford University Press.

Drummond, M. F., & Jefferson, T. (1996). Guidelines for authors and peer reviewers of economic submissions to BMJ. BMJ, 313, 275–283.PubMedCentralCrossRefPubMed

Durlak, J. A. (1998). Common risk and protective factors in successful prevention programs. American Journal of Orthopsychiatry, 68, 512–520. doi:10.1037/h0080360.CrossRefPubMed

Elliott, D. S., & Mihalic, S. (2004). Issues in disseminating and replicating effective prevention programs. Prevention Science, 5, 47–53. doi:10.1023/B:PREV.0000013981.28071.52.CrossRefPubMed

Flay, B. R., Biglan, A., Boruch, R. F., Castro, F. G., Gottfredson, D., Kellam, S., & Ji, P. (2005). Standards of evidence: Criteria for efficacy, effectiveness and dissemination. Prevention Science, 6, 151–175. doi:10.1007/s11121-005-5553-y.CrossRefPubMed

Foster, E. M. (2003). Propensity score matching. Medical Care, 41, 1183–1192. doi:10.1097/01.MLR.0000089629.62884.22.CrossRefPubMed

Foster, E. M., Dodge, K. A., & Jones, D. (2003). Issues in the economic evaluation of prevention programs. Applied Developmental Science, 7, 76–86. doi:10.1207/S1532480XADS0702_4.PubMedCentralCrossRefPubMed

Foster, E. M., Jones, D., & And the Conduct Problems Prevention Research Group. (2006). Can a costly intervention be cost-effective?: An analysis of violence prevention. Archives of General Psychiatry, 63, 1284–1291. doi:10.1001/archpsyc.63.11.1284.PubMedCentralCrossRefPubMed

Foster, E. M., Porter, M. M., Ayers, T. S., Kaplan, D. L., & Sandler, I. (2007). Estimating the costs of preventive interventions. Evaluation Review, 31, 261–286. doi:10.1177/0193841X07299247.CrossRefPubMed

Foster, E. M., Prinz, R. J., Sanders, M. R., & Shapiro, C. J. (2008). The costs of a public health infrastructure for delivering parenting and family support. Children and Youth Services Review, 30, 493–501. doi:10.1016/j.childyouth.2007.11.002.CrossRef

Frangakis, C., & Rubin, D. (2002). Principal stratification in causal inference. Biometrics, 58, 21–29. doi:10.1111/j.0006-341X.2002.00021.x.PubMedCentralCrossRefPubMed

French, M. T., Salomé, H. J., Sindelar, J. L., & Thomas McLellan, A. (2002). Benefit–cost analysis of addiction treatment: Methodological guidelines and empirical application using the DATCAP and ASI. Health Services Research, 37, 433–455. doi:10.1111/1475-6773.031.PubMedCentralCrossRefPubMed

Gold, M. R., Stevenson, D., & Fryback, D. G. (2002). HALYS and QALYS and DALYS, oh my: Similarities and differences in summary measures of population health. Annual Review of Public Health, 23, 115–134. doi:10.1146/annurev.publhealth.23.100901.140513.CrossRefPubMed

Gravelle, H., Brouwer, W., Niessen, L., Postma, M., & Rutten, F. (2007). Discounting in economic evaluations: Stepping forward towards optimal decision rules. Health Economics, 16, 307–317. doi:10.1002/hec.1168.CrossRefPubMed

Greenberg, M. T., Domitrovich, C., & Bumbarger, B. (2001). The prevention of mental disorders in school-aged children: Current state of the field. Prevention & Treatment, 4. doi:10.1037/1522-3736.4.1.41a

Gruen, R., Elliott, J., Nolan, M., Lawton, P., Parkhill, A., Mclaren, C., & Lavis, J. (2008). Sustainability science: An integrated approach for health-programme planning. The Lancet, 372, 1579–1589. doi:10.1016/S0140-6736(08)61659-1.CrossRef

Haddix, A. C., Teutsch, S. M., & Corso, P. S. (2003). Prevention effectiveness: A guide to decision analysis and economic evaluation. Oxford: Oxford University Press.

Hansen, R. N., Oster, G., Edelsberg, J., Woody, G. E., & Sullivan, S. D. (2011). Economic costs of nonmedical use of prescription opioids. The Clinical Journal of Pain, 27, 194–202. doi:10.1097/AJP.0b013e3181ff04ca.CrossRefPubMed

Hawkins, J. D., Catalano, R. F., Arthur, M. W., Egan, E., Brown, E. C., Abbott, R. D., & Murray, D. M. (2008). Testing communities that care: The rationale, design anduran behavioral baseline equivalence of the community youth development study. Prevention Science, 9, 178–190. doi:10.1007/s11121-008-0092-y.PubMedCentralCrossRefPubMed

Hawkins, J. D., Catalano, R. F., & Miller, J. Y. (1992). Risk and protective factors for alcohol and other drug problems in adolescence and early adulthood: Implications for substance abuse prevention. Psychological Bulletin, 112, 64–105. doi:10.1037/0033-2909.112.1.64.CrossRefPubMed

Heckman, J. (2006). Skill formation and the economics of investing in disadvantaged children. Science, 312, 1900–1902. doi:10.1126/science.1128898.CrossRefPubMed

Heckman, J., Moon, S. H., Pinto, R., Savelyev, P. A., & Yavitz, A. (2010). The rate of return to the highscope Perry Preschool program. Journal of Public Economics, 94, 114–128. doi:10.1016/j.jpubeco.2009.11.001.PubMedCentralCrossRefPubMed

Hill, L. G., Goates, S. G., & Rosenman, R. (2010). Detecting selection effects in community implementations of family-based substance abuse prevention programs. American Journal of Public Health, 100, 623–630. doi:10.2105/AJPH.2008.154112.PubMedCentralCrossRefPubMed

Hoffmann, C., Stoykova, B. A., Nixon, J., Glanville, J. M., Misso, K., & Drummond, M. F. (2002). Do health-care decision makers find economic evaluations useful? The findings of focus group research in UK health authorities. Value in Health, 5, 71–78. doi:10.1046/j.1524-4733.2002.52109.x.CrossRefPubMed

Karoly, L. A. (1998). Investing in our children: What we know and don’t know about the costs and benefits of early childhood interventions. Santa Monica: Rand.

Karoly, L. A. (2010). Principles and standards for benefit–cost analysis of early childhood interventions. RAND.

Kautt, P., & Spohn, C. (2002). Crack-ing down on black drug offenders? Testing for interactions among offenders’ race, drug type, and sentencing strategy in federal drug sentences*. Justice Quarterly, 19, 1–35. doi:10.1080/07418820200095151.CrossRef

Kilburn, K., & Karoly, L. A. (2008). The Economics of Early Childhood Policy What the Dismal Science Has to Say About Investing in Children. Retrieved from http://www.rand.org/pubs/occasional_papers/OP227.html

Kuklinski, M. R., Briney, J. S., Hawkins, J. D., & Catalano, R. F. (2012). Cost–benefit analysis of communities that care outcomes at eighth grade. Prevention Science. doi:10.1007/s11121-011-0259-9.PubMedCentralPubMed

Lave, L. B., & Joshi, S. V. (1996). Benefit–cost analysis in public health. Annual Review of Public Health, 17, 203–219. doi:10.1146/annurev.pu.17.050196.001223.CrossRefPubMed

Lazaro, A. (2002). Theoretical arguments for the discounting of health consequences: Where do we go from here? PharmacoEconomics, 20, 943–961.CrossRefPubMed

Lee, S., Aos, S., Drake, E. K., Pennucci, A., Miller, G. E., & Anderson, L. (2012). Return on Investment: Evidence-Based Options to Improve Statewide Outcomes April 2012 Update. Olympia, WA: Washington State Institute for Public Policy. Retrieved from http://www.wsipp.wa.gov/pub.asp?docid=12-04-1201

Lunceford, J. K., & Davidian, M. (2004). Stratification and weighting via the propensity score in estimation of causal treatment effects: A comparative study. Statistics in Medicine, 23, 2937–2960. doi:10.1002/sim.1903.CrossRefPubMed

McCaffrey, D. F., Ridgeway, G., & Morral, A. R. (2004). Propensity score estimation with boosted regression for evaluating causal effects in observational studies. Psychological Methods, 9, 403–425. doi:10.1037/1082-989X.9.4.403.CrossRefPubMed

Miller, & Hendrie, D. (2008). Substance Abuse Prevention Dollars and Cents: A Cost-Benefit Analysis (No. DHHS Pub. No. (SMA) 07-4298). Rockville, MD: Center for Substance Abuse Prevention, Substance Abuse and Mental Health Services Administration.

Miller, T., Levy, D., Spicer, R., & Taylor, D. (2006). Societal costs of underage drinking. Journal of Studies on Alcohol, 67.

Mishan, E. J., & Quah, E. (2007). Cost–benefit analysis. London: Routledge.

Nicosia, N., Pacula, R., Kilmer, B., Lundberg, R., & Chiesa, J. (2009). The costs of methamphetamine use. Santa Monica: RAND.

Noble, P. V. (2002). Safe and drug free schools. New York: Novinka Books.

O’Connell, M. E., Boat, T. F., & Warner, K. E. (2009). Preventing mental, emotional, and behavioral disorders among young people: Progress and possibilities. Washington, D.C.: National Academies Press.

Olds, D., Hill, P., Obrien, R., Racine, D., & Moritz, P. (2003). Taking preventive intervention to scale: The nurse-family partnership*. Cognitive and Behavioral Practice, 10, 278–290. doi:10.1016/S1077-7229(03)80046-9.CrossRef

Ramsey, S., Willke, R., Briggs, A., Brown, R., Buxton, M., Chawla, A., & Reed, S. (2005). Good research practices for cost-effectiveness analysis alongside clinical trials: The ISPOR RCT-CEA task force report. Value in Health, 8, 521–533. doi:10.1111/j.1524-4733.2005.00045.x.CrossRefPubMed

Reynolds, A. J., Temple, J. A., White, B. A. B., Ou, S.-R., & Robertson, D. L. (2011). Age 26 cost-benefit analysis of the child–parent center early education program. Child Development, 82, 379–404. doi:10.1111/j.1467-8624.2010.01563.x.CrossRefPubMed

Ringwalt, C. L., Hanley, S., Vincus, A. A., Ennett, S. T., Rohrbach, L. A., & Bowling, J. M. (2008). The prevalence of effective substance use prevention curricula in the nation’s high schools. The Journal of Primary Prevention, 29, 479–488. doi:10.1007/s10935-008-0158-4.PubMedCentralCrossRefPubMed

Rosenbaum, P. R., & Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70, 41–55. doi:10.1093/biomet/70.1.41.CrossRef

Rosenbaum, P. R., & Rubin, D. B. (1984). Reducing bias in observational studies using subclassification on the propensity score. Journal of the American Statistical Association, 79, 516. doi:10.2307/2288398.CrossRef

Russell, L. B., Gold, M. R., Siegel, J. E., Daniels, N., & Weinstein, M. C. (1996). The role of cost-effectiveness analysis in health and medicine. JAMA: The Journal of the American Medical Association, 276, 1172–1177. doi:10.1001/jama.1996.03540140060028.CrossRefPubMed

Savaya, R., & Spiro, S. E. (2011). Predictors of sustainability of social programs. American Journal of Evaluation. doi:10.1177/1098214011408066.

Spoth, R., & Greenberg, M. T. (2005). Toward a comprehensive strategy for effective practitioner–scientist partnerships and larger-scale community health and well-being. American Journal of Community Psychology, 35, 107–126. doi:10.1007/s10464-005-3388-0.PubMedCentralCrossRefPubMed

The Pew Charitable Trusts. (2012). Results First. Retrieved from http://www.pewstates.org/projects/results-first-328069.

U.S. Department of Health and Human Services. (2012). Preventing Tobacco Use Among Youth and Young Adults: A Report of the Surgeon General. Atlanta, GA: Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health. Retrieved from http://www.surgeongeneral.gov/library/reports/preventing-youth-tobacco-use/full-report.pdf

Weinstein, M. C., Siegel, J. E., Gold, M. R., Kamlet, M. S., & Russell, L. B. (1996). Recommendations of the panel on cost-effectiveness in health and medicine. JAMA: The Journal of the American Medical Association, 276, 1253–1258. doi:10.1001/jama.1996.03540150055031.CrossRefPubMed

Welsh, B. C., Sullivan, C. J., & Olds, D. L. (2009). When early crime prevention goes to scale: A new look at the evidence. Prevention Science, 11, 115–125. doi:10.1007/s11121-009-0159-4.CrossRef

Williams, A. (1972). Cost–benefit analysis: Bastard science? and/or insidious poison in the body politick? Journal of Public Economics, 1, 199–225. doi:10.1016/0047-2727(72)90002-3.CrossRef

Wolfenstetter, S. B. (2011). Conceptual framework for standard economic evaluation of physical activity programs in primary prevention. Prevention Science. doi:10.1007/s11121-011-0235-4.PubMed

Yates, B. T. (1994). Toward the incorporation of costs, cost-effectiveness analysis, and cost–benefit analysis into clinical research. Journal of Consulting and Clinical Psychology, 62, 729–736. doi:10.1037/0022-006X.62.4.729.CrossRefPubMed

Yates, B. T. (1996). Analyzing costs, procedures, processes, and outcomes in human services. Thousand Oaks: Sage Publications.CrossRef

Zerbe, R. O., Davis, T., Garland, N., & Scott, T. (2010). Toward principles and standards in the use of benefit-cost analysis. Seattle, WA: Benefit-Cost Analysis Center, Evans School of Public Affairs, University of Washington. Retrieved from http://evans.washington.edu/files/Final-Principles-and%20Standards-Report--6_23_2011.pdf.

Titel: Research Priorities for Economic Analyses of Prevention: Current Issues and Future Directions
verfasst von: D. Max Crowley
Laura Griner Hill
Margaret R. Kuklinski
Damon E. Jones
Publikationsdatum: 01.12.2014
Verlag: Springer US
Erschienen in: Prevention Science / Ausgabe 6/2014
Print ISSN: 1389-4986
Elektronische ISSN: 1573-6695
DOI: https://doi.org/10.1007/s11121-013-0429-z

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