Design and Analysis in Dissemination and Implementation Research

Dissemination and Implementation Research in Health: Translating Science to Practice

Volumn , Issue , 2012, Pages

  Landsverk, John ^a   Hendricks Brown, C ^b   Chamberlain, Patricia ^c   Palinkas, Lawrence ^a,d   Ogihara, Mitsunori ^e   Czaja, Sara ^f   Goldhaber Fiebert, Jeremy D ^g   Rolls Reutz, Jennifer A ^a   Horwitz, Sarah McCue ^h  

^a RADY CHILDREN'S HOSPITAL   (United States)

^b UNIVERSITY OF MIAMI MILLER SCHOOL OF MEDICINE   (United States)

^c OREGON SOCIAL LEARNING CENTER   (United States)

^d UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^e Department of Computer Science and Center for Computational Science   (United States)

^f UNIVERSITY OF MIAMI   (United States)

^g STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

^h STANFORD UNIVERSITY   (United States)

Author keywords

D I research; Methodology; Research analysis; Research design

Indexed keywords

EID: 84921666523     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1093/acprof:oso/9780199751877.003.0012     Document Type: Chapter

References (175)

1. Berwick D. The science of improvement. JAMA. 2008;299(10):1182.
2. Brown CH, Wyman PA, Guo J, Peña J. Dynamic wait-listed designs for randomized trials: new designs for prevention of youth suicide. Clin Trials. 2006;3(3):259-271.
3. Brown CH, Ten Have TR, Jo B, et al. Adaptive designs for randomized trials in public health. Annu Rev Public Health. 2009;30:1-25.
4. Flay B. Efficacy and effectiveness trials (and other phases of research) in the development of health promotion programs. Prev Med. 1986;15(5):451-474.
5. Glasgow R, Magid D, Beck A, Ritzwoller D, Estabrooks PA. Practical clinical trials for translating research to practice: design and measurement recommendations. Med Care. 2005;43(6):551.
6. Landsverk J, Brown C, Rolls Reutz J, Palinkas L, Horwitz S. Design elements in implementation research: a structured review of child welfare and child mental health studies. Admin Policy Ment Health and Ment Health Serv Res. 2011:1-10.
7. Palinkas L, Aarons G, Horwitz S, Chamberlain P, Hurlburt M, Landsverk J. Mixed method designs in implementation research. Admin Policy Ment Health and Ment Health Serv Res. 2011:1-10.
8. Pierre RG. Using randomized experiments. In: Wholey J, Hatry H, Newcomer K, eds. Handbook of Practical Program Evaluation. San Francisco, CA: Jossey-Bass Inc.; 2004:150-175.
9. Reichardt C, Mark M. Quasi-experimentation. In: Wholey J, Hatry H, Newcomer K, eds. Handbook of Practical Program Evaluation. San Francisco, CA: Jossey-Bass Inc.; 2004:126-149.
10. West SG, Duan N, Pequegnat W, et al. Alternatives to the randomized controlled trial. Am J Public Health. 2008;98(8):1359-1366.
11. Proctor E, Landsverk J, Aarons G, Chambers D, Glisson C, Mittman B. Implementation research in mental health services: an emerging science with conceptual, methodological, and training challenges. Administration and Policy in Mental Health and Mental Health Services Research. 2009;36(1):24-34.
12. National Research Council and Institute of Medicine. Division of Behavioral and Social Sciences and Education, Board on Children, Youth, and Families, Committee on the Prevention of Mental Disorders and Substance Abuse Among Children, Youth, and Young Adults: Research Advances and Promising Interventions, O'Connell ME, Boat T, and Warner KE, eds. Preventing mental, emotional, and behavioral disorders among young people: Progress and possibilities. Washington, DC: National Academy Press; 2009.
13. Aarons GA, Hurlburt M, Horwitz SM. Advancing a conceptual model of evidence-based practice implementation in public service sectors. Administration and Policy in Mental Health and Mental Health Services Research. 2011;38(1):4-23.
14. Wang W, Saldana L, Brown CH, Chamberlain P. Factors that influenced county system leaders to implement an evidence-based program: a baseline survey within a randomized controlled trial. Implementation Science. 2010;5(1):72.
15. Brown CH, Ten Have TR, Jo B, et al. Adaptive designs for randomized trials in public health. Annual Review of Public Health. 2009;30:1-25.
16. Poduska J, Kellam S, Brown C, et al. Study protocol for a group randomized controlled trial of a classroom-based intervention aimed at preventing early risk factors for drug abuse: integrating effectiveness and implementation research. Implementation Science. 2009;4(1):56.
17. Zerhouni E. The NIH roadmap. Science (Washington). 2003;302(5642):63-72.
18. Zerhouni E. Translational and clinical science-time for a new vision. New England Journal of Medicine. 2005;353(15):1621.
19. Culliton B. Extracting knowledge from science: a conversation with Elias Zerhouni. Health Affairs. 2006;25(3):w94.
20. Westfall J, Mold J, Fagnan L. Practice-based research-"Blue Highways" on the NIH roadmap. JAMA. 2007;297(4):403.
21. Friedman LM, Furberg C, DeMets DL. Fundamentals of clinical trials. 3rd ed. New York: Springer; 1998.
22. Torgerson D, Torgerson C. Designing and running randomised trials in health and the social sciences. Basingstoke, UK: Palgrave Macmillan; 2008.
23. Brown CH, Wang W, Kellam SG, et al. Methods for testing theory and evaluating impact in randomized field trials: intent-to-treat analyses for integrating the perspectives of person, place, and time. Drug and Alcohol Dependence. Jun 2008;95(Suppl 1):S74-S104; Supplementary data associated with this article can be found, in the online version, at doi:110.1016/j.drugalcdep.2008.1001.1005
24. Flay B. Efficacy and effectiveness trials (and other phases of research) in the development of health promotion programs. Preventive Medicine. 1986;15(5):451-474.
25. Glasgow R, Magid D, Beck A, Ritzwoller D, Estabrooks P. Practical clinical trials for translating research to practice: design and measurement recommendations. Medical Care. 2005;43(6):551.
26. Brown CH, Wyman PA, Guo J, Peña J. Dynamic wait-listed designs for randomized trials: new designs for prevention of youth suicide. Clinical Trials. 2006;3(3):259-271.
27. Berwick D. The science of improvement. JAMA. 2008;299(10):1182.
28. Pawson R, Tilley N. Realistic evaluation. London: Sage Publications Ltd; 1997.
29. Landsverk J, Brown C, Rolls Reutz J, Palinkas L, Horwitz S. Design elements in implementation research: a structured review of child welfare and child mental health studies. Administration and Policy in Mental Health and Mental Health Services Research. 2011:1-10.
30. Evensen A, Sanson-Fisher R, D'Este C, Fitzgerald M. Trends in publications regarding evidence-practice gaps: a literature review. Implementation Science. 2010;5(1):11.
31. Brown CH, Kellam SG, Kaupert S, et al. Partnerships for the design, conduct, and analysis of effectiveness, and implementation research: experiences of the prevention science and methodology group. Administration and Policy in Mental Health. Accepted for publication.
32. Chamberlain P, Marsenich L, Sosna T, Roberts R, Jones H, Price JM. Three collaborative models for scaling up evidence-based practices. Admininstration and Policy in Mental Health and Mental Health Services Research. Published online April 12, 2011. DOI: 10.1007/s10488-011-0349-9.
33. Brown CH, Berndt D, Brinales JM, Zong X, Bhagwat D. Evaluating the evidence of effectiveness for preventive interventions: using a registry system to influence policy through science. Addictive Behaviors. Nov-Dec 2000; 25(6): 955-964.
34. Brown CH, Wyman PA, Brinales JM, Gibbons RD. The role of randomized trials in testing interventions for the prevention of youth suicide. International Review of Psychiatry. Dec 2007;19(6): 617-631.
35. Chamberlain P, Saldana L, Brown CH, Leve LD. Implementation of multidimensional treatment foster care in California: A randomized trial of an evidence-based practice. In: Roberts-DeGennaro M, Fogel S, eds. Empirically supported interventions for community and organizational change. Chicago: Lyceum Books, Inc.; 2010.
36. Chamberlain P, Brown C, Saldana L, et al. Engaging and recruiting counties in an experiment on implementing evidence-based practice in California. Administration and Policy in Mental Health and Mental Health Research. 2008;35:250-260.
37. Marcus SM, Gibbons RD. Estimating the efficacy of receiving treatment in randomized clinical trials with noncompliance. Health Services & Outcomes Research Methodology. Dec 2001;2(3-4):247-257.
38. Stuart EA, Green KM. Using full matching to estimate causal effects in nonexperimental studies: examining the relationship between adolescent marijuana use and adult outcomes. Developmental Psychology. Mar 2008;44(2): 395-406.
39. Shortell SM. Increasing value: a research agenda for addressing the managerial and organizational challenges facing health care delivery in the United States. Medical Care Research and Review. 2004;61:12-30S.
40. Wholey J, Hatry H, Newcomer K. Handbook of practical program evaluation. San Francisco: Jossey-Bass Inc. Pub; 2004.
41. Reichardt C, Mark M. Quasi-experimentation. In: Wholey J, Hatry H, Newcomer K., eds. Handbook of practical program evaluation. San Francisco: Jossey-Bass Inc. Pub; 2004:126-149.
42. Pierre R. Using randomized experiments. In: Wholey J, Hatry H, Newcomer K., eds. Handbook of practical program evaluation. San Francisco: Jossey-Bass Inc. Pub; 2004:150-175.
43. Barrett-Connor E, Grady D, Stefanick M. The rise and fall of menopausal hormone therapy. Annual Review of Public Health. 2004;26:115-140.
44. Concato J, Shah N, Horwitz R. Randomized, controlled trials, observational studies, and the hierarchy of research designs. The New England Journal of Medicine.2000;342(25):1887.
45. Cook T, Shadish W, Wong V. Three conditions under which experiments and observational studies produce comparable causal estimates: new findings from withinstudy comparisons. Journal of Policy Analysis and Management. 2008;27(4):724-750.
46. West SG, Duan N, Pequegnat W, et al. Alternatives to the randomized controlled trial. American Journal of Public Health. August 1, 2008;98(8): 1359-1366.
47. Brown CA, Lilford RJ. The stepped wedge trial design: a systematic review. BMC Medical Research Methodology. 2006;6:54.
48. Bonell CP, Hargreaves J, Cousens S, et al. Alternatives to randomisation in the evaluation of public health interventions: design challenges and solutions. Journal of Epidemiology and Community Health. 2009.
49. Brown CH, Liao J. Principles for designing randomized preventive trials in mental health: an emerging developmental epidemiology paradigm. American Journal of Community Psychology. 1999;27(5):673-710.
50. Raudenbush SW, Liu X. Statistical power and optimal design for multisite randomized trials. Psychological Methods. Jun 2000;5(2): 199-213.
51. Bhaumik DK, Roy A, Aryal S, et al. Sample size determination for studies with repeated continuous outcomes. Psychiatric Annals. 2008;38(12):765-771.
52. Brown CH, Kellam SG, Ialongo N, Poduska J, Ford C. Prevention of aggressive behavior through middle school using a first grade classroom-based intervention. In: Tsuang MT, Lyons MJ, Stone WS, eds. Towards prevention and early intervention of major mental and substance abuse disorders. Arlington, VA: American Psychiatric Publishing, Inc.; 2007:347-370.
53. Kellam SG, Brown CH, Poduska JM, et al. Effects of a universal classroom behavior management program in first and second grades on young adult behavioral, psychiatric, and social outcomes. Drug and Alcohol Dependence. Jun 2008;95(Suppl 1):S5-S28; supplementary data associated with this article can be found in the online version, at doi:10.1016/j.drugalcdep.2008.1001.1004.
54. Jones B, Nachtsheim CJ. Split-plot design: what, why, and how. Journal of Quality Technology. 2009;41(4):340-361.
55. Chambers DA. Advancing the science of implementation: a workshop summary. Administration and Policy in Mental Health and Mental Health Services Research. 2008;35(1-2):3-10.
56. Kraemer HC, Mintz J, Noda A, Tinklenberg J, Yesavage JA. Caution regarding the use of pilot studies to guide power calculations for study proposals. Archives of General Psychiatry. May 2006;63(5): 484-489.
57. Kellam SG, Ling X, Merisca R, Brown CH, Ialongo N. The effect of the level of aggression in the first grade classroom on the course and malleability of aggressive behavior into middle school. Development & Psychopathology. Spr 1998;10(2): 165-185.
58. Frangakis CE, Rubin DB. Principal stratification in causal inference. Biometrics. 2002;58:21-29.
59. Greenland S, Lanes S, Jara M. Estimating effects from randomized trials with discontinuations: the need for intent to treat design and G-estimation. Clinical Trials. 2007;5:5-13.
60. Robins JM, Greenland S. Identifiability and exchangeability for direct and indirect effects. Epidemiology. 1992;3:143-155.
61. Barnard J, Frangakis CE, Hill JL, Rubin DB. Principal stratification approach to broken randomized experiments: a case study of school choice vouchers in New York City/Comment/Rejoinder. Journal of the American Statistical Association. 2003; 98(462):299-323.
62. Frangakis C, Brookmeyer R, Varadhan R, Safaiean M. Methodology for evaluating a partially controlled longitudinal treatment using principal stratification, with application to a needle exchange program. Baltimore, MD:2002. NEP-06-02.
63. Frangakis CE, Brookmeyer RS, Varadham R, Safaeian M, Vlahov D, Strathdee SA. Methodology for evaluating a partially controlled longitudinal treatment using principal stratification, with application to a needle exchange program. Journal of the American Statistical Association. 2004;99(465):239-250.
64. Barnard J, Frangakis CE, Hill J, Rubin DB. School choice in NY city: A Bayesian analysis of an imperfect randomized experiment. In: Gatsonis C, Kass RE, Carlin BP, et al., eds. Case studies in Bayesian statistics. Vol V. New York: Springer; 2002:3-98.
65. Muthén BO, Jo B, Brown CH. Comment on the Barnard, Frangakis, Hill & Rubin article, Principal stratification approach to broken randomized experiments: a case study of school choice vouchers in New York City. Journal of the American Statistical Association. Jun 2003;98(462): 311-314.
66. Frangakis CE, Rubin DB, Frangakis CE, Rubin DB. Principal stratification in causal inference. Biometrics. Mar 2002;58(1): 21-29.
67. Frangakis CE, Varadham R. Systematizing the evaluation of partially controlled studies using principal stratification: from theory to practice Statistica Sinica. 2004;14:945-947.
68. Jin H, Rubin DB. Principal stratification for causal inference with extended partial compliance. Journal of the American Statistical Association. 2008;103(481):101-111.
69. Rubin DB. Direct and indirect causal effects via potential outcomes. Scandinavian Journal of Statistics. Jun 2004;31(2): 161-170.
70. Angrist JD, Imbens GW, Rubin DB. Identification of causal effects using instrumental variables. Journal of the American Statistical Association. 1996;91(434):444-455.
71. Asparouhov T, Muthén BO. Multilevel mixture models. In: Hancock GR, Samuelsen KM, eds. Advances in latent variable mixture models. Charlotte, NC: Information Age Publishing, Inc.; 2008:27-51.
72. Muthen B. Latent variable mixture modeling. In: Marcoulides GA, Schumacker RE, eds. Advanced structural equational modelling: New developments and techniques. Mahwah, NJ: Lawrence Earlbaum Associates; 2001:1-33.
73. Muthen B. Second-generation structural equation modeling with a combination of categorical and continuous latent variables. In: Collins LM, Sayer AG, eds. New methods for the analysis of change, Decade of behavior. Washington, DC: American Psychological Association, 2001:291-322.
74. Muthen B. Statistical and substantive checking in growth mixture modeling. Psychological Methods. 2003;8(3):369-377.
75. Muthen B. Latent variable modeling of longitudinal and multilevel data. Soiological Methodology. 2005;27:453-480.
76. Muthén B. Latent variable modeling of longitudinal and multilevel data. Sociological Methodology. 1997;27:453-480.
77. Muthén B, Brown CH. Estimating drug effects in the presence of placebo response: causal inference using growth mixture modeling. Statistics in Medicine. 2009;28(27):3363-3395.
78. Brown CH, Indurkhya A, Kellam SG. Power calculations for data missing by design with application to a follow-up study of exposure and attention. Journal of the American Statistical Association. 2000;95:383-395.
79. Guo J. Extending the Principal Stratification Methods to Multi-Level Randomized Trials [Doctoral Dissertation]. Tampa, FL: Epidemiology and Biostatistics, University of South Florida; 2010.
80. Creswell JW, Plano Clark VL. Designing and conducting mixed methods research. Thousand Oaks, CA: Sage Publications, Inc; 2007.
81. Teddlie C, Tashakkori A. Major issues and controversies in the use of mixed methods in the social and behavioral sciences. In: Tashakkori A, Teddlie C, eds. Handbook of mixed methods in the social and behavioral sciences. Thousand Oaks, CA: Sage; 2003:3-50.
82. Palinkas L, Aarons G, Horwitz S, Chamberlain P, Hurlburt M, Landsverk J. Mixed method designs in implementation research. Administration and Policy in Mental Health and Mental Health Services Research. 2011;38(1):44-53.
83. Whitley R, Gingerich S, Lutz W, Mueser K. Implementing the illness management and recovery program in community mental health settings: facilitators and barriers. Psychiatric Services. 2009;60(2):202.
84. Marshall T, Rapp C, Becker D, Bond G. Key factors for implementing supported employment. Psychiatric Services. 2008;59(8):886.
85. Marty D, Rapp C, McHugo G, Whitley R. Factors influencing consumer outcome monitoring in implementation of evidence-based practices: results from the National EBP Implementation Project. Administration and Policy in Mental Health and Mental Health Services Research. 2008;35(3):204-211.
86. Rapp C, Etzel-Wise D, Marty D, et al. Barriers to evidence-based practice implementation: results of a qualitative study. Community Mental Health Journal. 2009;46(2):112-118.
87. Trochim WMK. An introduction to concept mapping for planning and evaluation. Evaluation and Program Planning. 1989;12(1):1-16.
88. Patton MQ. Qualitative evaluation and research methods (3rd Ed). Thousand Oaks, CA: Sage; 2002.
89. Chambers D. Advancing the science of implementation: a workshop summary. Administration and Policy in Mental Health and Mental Health Services Research. 2008;35(1):3-10.
90. Henke R, Chou A, Chanin J, Zides A, Scholle S. Physician attitude toward depression care interventions: implications for implementation of quality improvement initiatives. Implementation Science. 2008;3(1):40.
91. Sharkey S, Maciver S, Cameron D, Reynolds W, Lauder W, Veitch T. An exploration of factors affecting the implementation of a randomized controlled trial of a transitional discharge model for people with a serious mental illness. Journal of Psychiatric and Mental Health Nursing. 2005;12(1):51-56.
92. Slade M, Gask L, Leese M, et al. Failure to improve appropriateness of referrals to adult community mental health services-lessons from a multi-site cluster randomized controlled trial. Family Practice. 2008;25(3):181.
93. Bernard H, ed. Research methods in anthropology. 3rd ed. Newbury Park, CA: Sage; 1994.
94. Sofaer S. Qualitative methods: what are they and why use them? Health Services Research. 1999;34(5):1101-1118.
95. Palinkas L, Aarons G, Chorpita B, Hoagwood K, Landsverk J, Weisz J. Cultural exchange and the implementation of evidence-based practices. Research on Social Work Practice. 2009;19(5):602.
96. Aarons GA, Palinkas LA. Implementation of evidence-based practice in child welfare: service provider perspectives. Administration and Policy in Mental Health. Jul 2007;34(4): 411-419.
97. Palinkas L, Aarons G. A view from the top: executive and management challenges in a statewide implementation of an evidence-based practice to reduce child neglect. International Journal of Child Health and Human Development. 2009;2(1):47-55.
98. Forrester JW. System dynamics and the lessons of 35 years. In: De Greene KB, ed. The systemic basis of policy making in the 1990s. Cambridge, MA: MIT Press, 1991:199-240.
99. George Warren Brown School of Social Work Social System Design Lab. "What is System Dynamics?". Accessed 2/3/2011.
100. Proctor EK, Knudsen KJ, Fedoravicius N, Hovmand P, Rosen A, Perron B. Implementation of evidence-based practice in community behavioral health: agency director perspectives. Administration and Policy in Mental Health and Mental Health Services Research. 2007;34(5):479-488.
101. Hovmand PS, Gillespie DF. Implementation of evidence-based practice and organizational performance. The Journal of Behavioral Health Services and Research. 2010;37(1):79-94.
102. Epstein JM, Axtell R. Growing artificial societies. Cambridge, MA: MIT Press; 1996.
103. Epstein JM. Nonlinear dynamics, mathematical biology, and social science. Boston, MA: Addison-Wesley; 1997.
104. Miller JH, Page SE. Complex adaptive systems: An introduction to computational models of social life. Princeton, NJ: Princeton University Press; 2007.
105. Heath B, Hill R, Ciarallo F. A survey of agent-based modeling practices (January 1998 to July 2008). Journal of Artificial Societies and Social Simulation. Oct 2009;12(4):A143-A177.
106. Sun R, ed. Cognitive and multi-agent interaction: From cognitive modeling to social simulation. New York: Cambridge University Press; 2006.
107. Epstein JM. Generative social science: Studies in agent-based computational modeling. Princeton, NJ: Princeton University Press; 2007.
108. Epstein JM. Why model? Journal of Artificial Societies and Social Simulation. 2008;11(4):12.
109. Anderies JM, ed. The transition from local to global dynamics: A proposed framework for agent-based thinking in social-ecological systems. Northhampton, MA: Edward Elgar; 2002.
110. Alam SJ, Meyer R, Ziervogel G, Moss S. The impact of HIV/AIDS in the context of socioeconomic stressors: an evidence-driven approach. Journal of Artificial Societies and Social Simulation. 2007;10(4):7.
111. Grimm V, Revilla E, Berger U, et al. Pattern-oriented modeling of agent-based complex systems: lessons from ecology. Science. Nov 11 2005;310(5750): 987-991.
112. Wang C-P, Brown CH, Bandeen-Roche K, Jaccard J. Residual diagnostics for growth mixture models: examining the impact of a preventive intervention on multiple trajectories of aggressive behavior. Journal of the American Statistical Association. 2005;100(471):1054-1076.
113. Borgatti SP, Everett MG, Freeman LC. Ucinet for Windows: Software for social network analysis. Lexington, KY: Analytic Technologies; 2005.
114. Monge PR, Contractor NS. Theories of communication networks. New York: Oxford University Press; 2002.
115. Scott J. Network analysis: A handbook. 2nd ed. Newbury Park, CA: Sage; 2000.
116. Wasserman S, Faust K. Social networks analysis: Methods and applications. Cambridge, UK: Cambridge University Press; 1994.
117. Valente TW, Mouttapa M, Gallaher M. Social network analysis for understanding substance abuse: a transdisciplinary perspective. Substance Use & Misuse. 2004; 39:1685-1712.
118. Burt R. Social contagion and innovation: cohesion versus structural equivalence. American Journal of Sociology. 1987;92:1287-1335.
119. Marsden MG, Treacy S, Stewart D. Reduced injection risk and sexual risk behaviours after drug misuse treatment: results from the National Treatment Outcome Research Study. AIDS Care. 2002;14(1):77-93.
120. Valente TW. Network models of the diffusion of innovations. Cresskill, NJ: Hampton Press; 1995.
121. Valente TW. Models and methods for innovation diffusion. Cambridge, UK: Cambridge University Press; 2005.
122. Knoke D, Kuklinski JH. Network analysis. Thousand Oaks, CA: Sage; 1982.
123. Kwait J, Valente TW, Celentano DD. Interorganizational relationships among HIV/AIDS service organizations in Baltimore: a network analysis. Journal of Urban Health. 2001;78:468-487.
124. Brass DJ, Galaskiewicz J, Greve HR, Tsui W. Taking stock of networks and organizations: a multilevel perspective. Academy of Management Journal. 2004;47: 795-799.
125. Valente TW, Chou CP, Pentz MA. Community coalition networks as systems: effects of network change on adoption of evidence-based prevention. American Journal of Public Health. 2007;97:880-886.
126. Valente TW, Fosados R. Diffusion of innovations and network segmentation: the part played by people in the promotion of health. Journal of Sexually Transmitted Diseases. 2006;33:S23-S31.
127. Valente TW, Fujimoto K, Palmer P, et al. A network assessment of community-based participatory research: linking communities and universities to reduce cancer disparities. American Journal of Public Health. 2010;100(7):1319-1325.
128. Lomas J, Enkin M, Anderson GM, Hanna WJ, Vayda E, Singer J. Opinion leaders vs. audit feedback to implement practice guidelines: delivery after previous cesarean section. Journal of American Medical Association. 1991;265:2202-2207.
129. Valente TW, Pumpuang P. Identifying opinion leaders to promote behavior change. Health Education & Behavior. 2007;34:881-896.
130. Valente TW, Hoffman BR, Ritt-Olson A, Lichtman K, Johnson CA. The effects of a social network method for group assignment strategies on peer led tobacco prevention programs in schools. American Journal of Public Health. 2003;93:1837-1843.
131. Buller D, Buller MK, Larkey L, et al. Implementing a 5-a-day peer health educator program for public sector labor and trades employees. Health Education & Behavior. 2000;27(2):232-240.
132. Valente TW, Sussman S, Unger J, Ritt-Olson A, Okamoto J, Stacy A. Peer acceleration: effects of a network tailored substance abuse prevention program among high risk adolescents. Addiction. 2007;102:1804-1815.
133. Kossisakoff A, Sweet WN. Systems engineering principles and practice. Hoboken, NJ: John Wiley & Sons Inc.; 2003.
134. Czaja SJ, Nair SN. Human factors engineering and systems design. In: Salvendy G, ed. Handbook of human factors and ergonomics. 3rd ed. Hoboken, NJ: John Wiley & Sons Inc; 2006:32-49.
135. Schulz R, Belle SH, Czaja SJ, Gitlin LN, Wisniewski SR, Ory MG. Introduction to the special section on Resources for Enhancing Alzheimer's Caregiver Health (REACH). Psychology and Aging. 2003;18(3):357-360.
136. Saaty TL. The Analytic Hierarchy Process in conflict management. International Journal of Conflict Management. 1990;1(1):47-68.
137. Czaja SJ, Schulz R, Lee CC, Belle SH. A methodology for describing and decomposing complex psychosocial and behavioral interventions. Psychology and Aging. 2003;18(3):385-395.
138. Rabiner LR. A tutorial on hidden Markov models and selected applications in speech recognition. Proceedings of the IEEE. 1989;77(2):257-286.
139. Deerwester S, Dumais ST, Furnas GW, Landauer TK, Harshman R. Indexing by latent semantic analysis. Journal of the American Society for Information Science. 1990;41(6):391-407.
140. Hofmann T. Probabilistic latent semantic indexing. SIGIR '99: Proceedings of the 22nd annual international ACM SIGIR conference on research and development in information retrieval. Berkeley, CA: ACM; 1999:50-57.
141. Li T, Zhu S, Ogihara M. Hierarchical document classification using automatically generated hierarchy. Journal of Intelligent Information Systems. 2007;29(2):211-230.
142. Li T, Zhu S, Ogihara M. Text categorization via generalized discriminant analysis. Information Processing & Management. 2008;44(5):1684-1697.
143. Frazier AL, Colditz GA, Fuchs CS, Kuntz KM. Cost-effectiveness of screening for colorectal cancer in the general population. JAMA. 2000;284(15):1954.
144. Gaspoz JM, Coxson PG, Goldman PA, et al. Cost effectiveness of aspirin, clopidogrel, or both for secondary prevention of coronary heart disease. New England Journal of Medicine. 2002;346(23):1800.
145. Goldhaber-Fiebert JD, Stout NK, Salomon JA, Kuntz KM, Goldie SJ. Costeffectiveness of cervical cancer screening with human papillomavirus DNA testing and HPV-16, 18 vaccination. Journal of the National Cancer Institute.2008;100(5):308.
146. CDC Diabetes Cost-effectiveness Group. Cost-effectiveness of intensive glycemic control, intensified hypertension control, and serum cholesterol level reduction for type 2 diabetes. JAMA. 2002;287(19):2542-2551.
147. Sanders GD, Bayoumi AM, Sundaram V, et al. Cost-effectiveness of screening for HIV in the era of highly active antiretroviral therapy. New England Journal of Medicine. 2005;352(6):570.
148. Tosteson ANA, Stout NK, Fryback DG, et al. Cost-effectiveness of digital mammography breast cancer screening. Annals of Internal Medicine. 2008;148(1):1.
149. Ruiz MS. No time to lose: Getting more from HIV prevention. Washington, DC: National Academies Press; 2001.
150. Gold MR, Siegel JE, Russell LB, Weinstein MC, eds. Cost-effectiveness in health and medicine. New York: Oxford University Press; 1996.
151. Goldhaber-Fiebert JD, Snowden LR, Wulczyn F, Landsverk J, Horwitz SM. Economic evaluation research in the context of child welfare policy: a structured literature review and recommendations. Child Abuse and Neglect. 2011;35(9):722-740.
152. Goldhaber-Fiebert, JD. "Evaluating Child Welfare Policies with Decision-analytic Simulation Models." Paper presented at the 4th Annual NIH Conference on the Science of Dissemination and Implementation: Policy and Practice, Bethesda, Maryland, March 21-22, 2011.
153. Price JM, Chamberlain P, Landsverk J, Reid J. KEEP foster parent training intervention: model description and effectiveness. Child & Family Social Work. 2009;14(2):233-242.
154. Price J, Chamberlain P, Landsverk J, Reid J, Leve L, Laurent H. Effects of a foster parent training intervention on placement changes of children in foster care. Child Maltreatment. 2008;13(1):64.
155. Chamberlain P, Price J, Reid J, Landsverk J. Cascading implementation of a foster and kinship parent intervention. Child Welfare. 2008;87(5):27.
156. Larzelere RE, Daly DL, Davis JL, Chmelka MB, Handwerk ML. Outcome evaluation of Girls and Boys Town's Family Home Program. Education & Treatment of Children. 2004;27(2):130-150.
157. Dodge KA, Sherrill MR. Deviant peer group effects in youth mental health interventions. In: Dodge K, Dishion T, Lansford J, eds. Deviant peer influences in programs for youth. New York: Guilford Press; 2006:97-121.
158. Ryan J, Marshall J, Herz D, Hernandez P. Juvenile delinquency in child welfare: investigating group home effects. Children and Youth Services Review. 2008;30(9): 1088-1099.
159. Wulczyn F, Orlebeke B, Melamid E. Measuring contract agency performance with administrative data. Child Welfare. 2000 Sep-Oct 2000;79(5): 457-474.
160. Chamberlain P, Leve L, DeGarmo D. Multidimensional treatment foster care for girls in the juvenile justice system: 2-year follow-up of a randomized clinical trial. Journal of Consulting and Clinical Psychology. 2007;75(1):187.
161. Eddy J, Bridges Whaley R, Chamberlain P. The prevention of violent behavior by chronic and serious male juvenile offenders. Journal of Emotional and Behavioral Disorders. 2004;12(1):2.
162. U.S. Department of Education, Office of Special Educational Research and Improvement, Office of Reform Assistance and Dissemination. Safe, Disciplined, and Drug-Free Schools Programs. Washington, DC: 2001.
163. U.S. Department of Health and Human Services, ed. Youth Violence: A Report of the Surgeon General. Rockville, MD: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Injury Prevention and Control; Substance Abuse and Mental Health Services Administration, Center for Mental Health Services; and National Institutes of Health, National Institute of Mental Health; 2001.
164. U.S. Department of Health and Human Services, ed. Mental Health: A Report of the Surgeon General. Rockville, MD: U.S. Department of Health and Human Services, Substance Abuse and Mental Health Services Administration, Center for Mental Health Services, National Institutes of Health, National Institute of Mental Health; 1999.
165. Aos S, Phipps P, Barnoski R, Leib R, eds. The comparative costs and benefits of programs to reduce crime, 4.0. Olympia, WA: Washington State Institute for Public Policy; 1999.
166. Rogers E. Diffusion of innovations. New York: Free Press; 1995.
167. Sosna T, Marsenich L. Community Development Team Model: Supporting the model adherent implementation of programs and practices. Sacramento, CA: California Institute for Mental Health; 2006.
168. Kalbfleisch JD, Prentice RL. The statistical analysis of failure time data. 2nd ed. New York: Wiley; 2002.
169. Liang K-Y, Zeger SL. Longitudinal data analysis using generalized estimating equations. Biometrika. 1986;73(1):13-22.
170. Zeger SL, Liang KY, Albert PS. Models for longitudinal data: a generalized estimating equation approach. [erratum appears in Biometrics 1989 Mar;45(1):347]. Biometrics. Dec 1988;44(4): 1049-1060.
171. Pulver AE, Liang K-y, Brown C, et al. Risk factors in schizophrenia: season of birth, gender, and familial risk. British Journal of Psychiatry. 1992;160:65-71.
172. Chamberlain P, Brown CH. Observational measure of implementation progress: the stages of implementation completion (SIC). Submitted for publication.
173. Palinkas L, Fuentes D, Holloway I, Wu Q, Chamberlain P. Social Networks and Implementation of Evidence-Based Practices in Public Youth-Serving Systems. Sunbelt XXX, International Network for Social Network Analysis Conference. Vol Riva del Garda, Italy: 2010.
174. Tunis, SR., Stryer, DB., and Clancy, CM. Practical Clinical Trials Increasing the Value of Clinical Research for Decision Making in Clinical and Health Policy. JAMA. 2003;290(12):1624-1632.
175. Raudenbush, S.W., Spybrook, J., Congdon, R., Liu, X., Martinez, A. (2011). Optimal Design Plus Empirical Evidence (Version 3.0)