sábado, 8 de febrero de 2014

Preventing Chronic Disease | The Program Sustainability Assessment Tool: A New Instrument for Public Health Programs - CDC

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Preventing Chronic Disease | The Program Sustainability Assessment Tool: A New Instrument for Public Health Programs - CDC



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The Program Sustainability Assessment Tool: A New Instrument for Public Health Programs

Douglas A. Luke, PhD; Annaliese Calhoun, MSW; Christopher B. Robichaux, MS; Michael B. Elliott, PhD; Sarah Moreland-Russell, MPH, PhD

Suggested citation for this article: Luke DA, Calhoun A, Robichaux CB, Elliott MB, Moreland-Russell S. The Program Sustainability Assessment Tool: A New Instrument for Public Health Programs. Prev Chronic Dis 2014;11:130184. DOI:http://dx.doi.org/10.5888/pcd11.130184External Web Site Icon.
PEER REVIEWED

Abstract

Introduction
Public health programs can deliver benefits only if they are able to sustain programs, policies, and activities over time. Although numerous sustainability frameworks and models have been developed, there are almost no assessment tools that have demonstrated reliability or validity or have been widely disseminated. We present the Program Sustainability Assessment Tool (PSAT), a new and reliable instrument for assessing the capacity for program sustainability of various public health and other programs.
Methods
A measurement development study was conducted to assess the reliability of the PSAT. Program managers and staff (n = 592) representing 252 public health programs used the PSAT to rate the sustainability of their program. State and community-level programs participated, representing 4 types of chronic disease programs: tobacco control, diabetes, obesity prevention, and oral health.
Results
The final version of the PSAT contains 40 items, spread across 8 sustainability domains, with 5 items per domain. Confirmatory factor analysis shows good fit of the data with the 8 sustainability domains. The subscales have excellent internal consistency; the average Cronbach’s α is 0.88, ranging from 0.79 to 0.92. Preliminary validation analyses suggest that PSAT scores are related to important program and organizational characteristics.




Conclusion
The PSAT is a new and reliable assessment instrument that can be used to measure a public health program’s capacity for sustainability. The tool is designed to be used by researchers, evaluators, program managers, and staff for large and small public health programs.

Author Information

Corresponding Author: Douglas A. Luke, PhD, Center for Public Health Systems Science, George Warren Brown School of Social Work, Washington University in St Louis, 700 Rosedale Ave, Campus Box 1009, St Louis, MO 63112. Telephone: 314-935-3794. E-mail: dluke@wustl.edu.
Author Affiliations: Annaliese Calhoun, Christopher B. Robichaux, Sarah Moreland-Russell, Washington University in St Louis, Missouri; Michael B. Elliott, Saint Louis University, St Louis, Missouri.

References

  1. Proctor EK, 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. Adm Policy Ment Health 2009;36(1):24–34. CrossRefExternal Web Site Icon PubMedExternal Web Site Icon
  2. Brownson RC, Colditz GA, Proctor EK, editors. Dissemination and implementation research in health: translating science to practice. New York (NY): Oxford University Press; 2012.
  3. Scheirer MA, Dearing JW. An agenda for research on the sustainability of public health programs. Am J Public Health 2011;101(11):2059–67.CrossRefExternal Web Site Icon PubMedExternal Web Site Icon
  4. Schell SF, Luke DA, Schooley MW, Elliott MB, Herbers SH, Mueller NB, et al. Public health program capacity for sustainability: a new framework. Implement Sci 2013;8:15. PubMedExternal Web Site Icon
  5. Hutchinson K. Literature review of program sustainability assessment tools. Vancouver (BC): The Capture Project, Simon Fraser University; 2010. http://www.thecaptureplatform.ca/intervention/379/. Accessed January 9, 2013.
  6. Scheirer MA. Is sustainability possible? A review and commentary on empirical studies of program sustainability. American Journal of Evaluation 2005;26(3):320–47. CrossRefExternal Web Site Icon
  7. Shediac-Rizkallah MC, Bone LR. Planning for the sustainability of community-based health programs: conceptual frameworks and future directions for research, practice and policy. Health Educ Res 1998;13(1):87–108. CrossRefExternal Web Site Icon PubMedExternal Web Site Icon
  8. Evashwick C, Ory M. Organizational characteristics of successful innovative health care programs sustained over time. Fam Community Health 2003;26(3):177–93. CrossRefExternal Web Site Icon PubMedExternal Web Site Icon
  9. Sustainability Framework. Atlanta (GA): Georgia Health Policy Center; 2011. http://www.raconline.org/sustainability/pdf/georgia-health-policy-center-sustainability-framework.pdf. Accessed December 13, 2012.
  10. Trochim WM. An introduction to concept mapping for planning and evaluation. Eval Program Plann 1989;12(1):1–16. CrossRefExternal Web Site Icon
  11. Rosseel Y. Lavaan: an R package for structural equation modeling. J Stat Softw 2012;48(2):1–36. http://www.jstatsoft.org/v48/i02/. Accessed July 30, 2013.
  12. Floyd FJ, Widaman KF. Factor analysis in the development and refinement of clinical assessment instruments. Psychol Assess 1995;7(3):286–99.CrossRefExternal Web Site Icon
  13. Luke DA, Ribisi KM, Walton MA, Davidson WS. Assessing the diversity of personal beliefs about addiction: development of the Addiction Belief Inventory. Subst Use Misuse 2002;37(1):89–120. CrossRefExternal Web Site Icon PubMedExternal Web Site Icon
  14. Brown T. Confirmatory factor analysis for applied research. New York (NY): Guilford Press: 2006.
  15. Hu LT, Bentler PM. Evaluating model fit. In: Hoyle RH, editor. Structural equation modeling: concepts, issues, and applications. Thousand Oaks (CA): Sage Publications; 1995. p 76–99.
  16. Hu LT, Bentler PM. Fit indices in covariance structure modeling: sensitivity to underparameterized model misspecification. Psychol Methods 1998;3(4):424–53. CrossRefExternal Web Site Icon
  17. Kenny DA, McCoach DB. Effect of the number of variables on measures of fit in structural equation modeling. Struct Equ Modeling 2003;10(3):333–51. CrossRefExternal Web Site Icon
  18. Schmitt N. Uses and abuses of coefficient alpha. Psychol Assess 1996;8(4):350–3. CrossRefExternal Web Site Icon
  19. Calhoun A, Mainor A, Moreland-Russell S, Maier RC, Brossart L, Luke DA. Using the Program Sustainability Assessment Tool to assess and plan for sustainability. Prev Chronic Dis 2014;11:130185. CrossRefExternal Web Site Icon
  20. Best A, Greenhalgh T, Lewis S, Saul JE, Carroll S, Bitz J. Large-system transformation in health care: a realist review. Milbank Q 2012;90(3):421–56.CrossRefExternal Web Site Icon PubMedExternal Web Site Icon
  21. Scheirer MA. Linking sustainability research to intervention types. Am J Public Health 2013;103(4):e73–80. CrossRefExternal Web Site Icon PubMedExternal Web Site Icon

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