Skip to main content
Log in

Understanding health care organization needs and context

Beyond performance gaps

  • Published:
Journal of General Internal Medicine Aims and scope Submit manuscript

Abstract

Significant efforts have been invested in improving our understanding of how to accelerate and magnify the impact of research on clinical practice. While approaches to fostering translation of research into practice are numerous, none appears to be superior and the evidence for their effectiveness is mixed. Lessons learned from formative evaluation have given us a greater appreciation of the contribution of context to successful implementation of quality improvement interventions. While formative evaluation is a powerful tool for addressing context effects during implementation, lessons learned from the social sciences (including management and operations research, sociology, and public health) show us that there are also powerful preimplementation tools available to us. This paper discusses how we might integrate these tools into implementation research. We provide a theoretical framework for our need to understand organizational contexts and how organizational characteristics can alert us to situations where preimplementation tools will prove most valuable.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Plsek PE, Greenhalgh T. Complexity science: the challenge of complexity in health care [see comment]. BMJ. 2001;323:625–8.

    Article  CAS  PubMed  Google Scholar 

  2. Harrison MI, Shirom A. Organizational diagnosis and assessment: bridging theory and practice. Thousand Oaks: Sage; 1999.

    Google Scholar 

  3. Hellerstein J. GAP: a general approach to quantitative diagnosis of performance problems. J Network Systems Manag. 2003;11.

  4. Beer M, Spector B. Organizational diagnosis: its role in organizational learning. J Couns Dev. 1993;71:642–50.

    Google Scholar 

  5. Bray DW. Personnel-Centered Organizational Diagnosis. Ann: Howard; 1994.

    Google Scholar 

  6. Heiming B, Lunze J. Parallel process diagnosis based on qualitative models. Int J Control. 2000;73:1061–77.

    Article  Google Scholar 

  7. Jiao J, Zhang W, Zhao Z, Cha J. An integrated intelligent approach to process diagnosis in process industries. Int J Prod Res. 1999;37:2565–83.

    Article  Google Scholar 

  8. Kim H, Yoon WC, Choi S. Aiding fault diagnosis under symptom masking in dynamic systems. Ergonomics. 1999;42:1472–81.

    Article  Google Scholar 

  9. Lee GB, Song SO, Yoon ES. Multiple-fault diagnosis based on system decomposition and dynamic PLS. Ind Eng Chem Res. 2003;42:6145–54.

    Article  CAS  Google Scholar 

  10. Lo CH, Wong YK, Rad AB. Model-based fault diagnosis in continuous dynamic systems. ISA Trans. 2004;43:459–75.

    Article  CAS  PubMed  Google Scholar 

  11. Malony AD, Helm BR. A theory and architecture for automating performance diagnosis. Future Gener Comp Sys. 2001;18:189–200.

    Article  Google Scholar 

  12. Paul J. Between-method triangulation in organizational diagnosis. Int J Org Anal. 1996;4:135–53.

    Google Scholar 

  13. Rafferty AE, Griffin MA. Expanding organizational diagnosis by assessing the intensity of change activities. Organ Dev J. 2001;19:3–14.

    Google Scholar 

  14. Schaffer J, Cinar A. Multivariable MPC system performance assessment, monitoring, and diagnosis. J Process Control. 2004;14:113–29.

    Article  Google Scholar 

  15. Shastri S, Lam CP, Werner B. A machine learning approach to generate rules for process fault diagnosis. J Chem Eng Jpn. 2004;37:691–7.

    Article  CAS  Google Scholar 

  16. Sperry L. Consultation skills: individual and organizational diagnosis. Individual Psychol. 1994;50:359–71.

    Google Scholar 

  17. Stahl DA. Subacute care: a six-box model. Nurs Manage. 1997;28:18–20.

    CAS  PubMed  Google Scholar 

  18. Tsai CS, Chng CT. Dynamic process diagnosis via integrated neural networks. Comput Chem Eng. 1995;19(suppl S):747–52.

    Article  Google Scholar 

  19. Barrett T, Recor L. Needs assessment: a marketing application. Psychol Rep. 1983;52:702.

    Google Scholar 

  20. Caska BA, Kelley K, Christensen EW. Organizational Needs Assessment: Technology and Use, Vol. 82. Oxford: North-Holland; 1992:229–56.

    Google Scholar 

  21. DeVillaer M. Client-centered community needs assessment. Eval Prog Plann. 1990;13:211–9.

    Article  Google Scholar 

  22. Evans NJ. Needs assessment methodology: a comparison of results. J Coll Stud Personnel. 1985;26:107–14.

    Google Scholar 

  23. Hoover JG. Needs assessment: implications for large scale planning of educational programs. J Instructional Psychol. 1977;4:34–45.

    Google Scholar 

  24. Lau JTF, Tsui HY, Li CK, Chung RWY, Chan MW, Molassiotis A. Needs assessment and social environment of people living with HIV/AIDS in Hong Kong. AIDS Care Psychol Socio Med Aspects AIDS/HIV. 2003;15:699–706.

    CAS  Google Scholar 

  25. Levy SR, Anderson EE, Issel LM, et al. Using multilevel, multisource needs assessment data for planning community interventions. Health Promotion Pract. 2004;5:59–68.

    Article  Google Scholar 

  26. Monfils MK. Needs assessment and implementation of an employee assistance program: promoting a healthier work force. AAOHN J. 1995;43:263–9.

    CAS  PubMed  Google Scholar 

  27. Murphy JW. Qualitative methodology, hypothesis testing and the needs assessment. J Sociol Social Welfare. 1983;10:136–48.

    Google Scholar 

  28. Murrell SA. Utilization of needs assessment for community decision-making. Am J Community Psychol. 1977;5:461–8.

    Article  Google Scholar 

  29. Simeone RS, Frank B, Aryan Z. Needs assessment in substance misuse: a comparison of approaches and case study. Int J Addictions. 1993;28:767–92.

    CAS  Google Scholar 

  30. Stabb SD. Needs Assessment Methodologies. Springfield, IL: Charles C. Thomas; 1995.

    Google Scholar 

  31. Wiener RL, Wiley D, Huelsman T, et al. Needs assessment: combining qualitative interviews and concept mapping methodology. Eval Rev. 1994;18:227–40.

    Article  Google Scholar 

  32. Witkin BR, Altschuld JW. Planning and Conducting Needs Assessments: A Practical Guide. 1995.

  33. Deming W. The New Economics for Industry, Government & Education. Cambridge: Massachusetts Institute of Technology Center for Advanced Engineering Study; 1993.

    Google Scholar 

  34. Juran JM, Blanton A, Godfrey AB, Hoogstoel RE, Schilling EG, eds. Juran’s Quality Handbook. 5th edn. McGraw Hill: New York; 1998.

    Google Scholar 

  35. Rogers E. Diffusion of Innovations. 4th edn. New York: Free Press; 1962/1995.

    Google Scholar 

  36. Grol R. Improving the quality of medical care: building bridges among professional pride, payer profit, and patient satisfaction. JAMA. 2001;286:2578–85.

    Article  CAS  PubMed  Google Scholar 

  37. Bero LA, Roberto GR, Grimshaw JM, Harvey E, Oxman AD, Thomson MA. Getting research findings into practice—closing the gap between research and practice—an overview of systematic reviews of interventions to promote the implementation of research findings. Br Med J. 1998;317:465–8.

    CAS  Google Scholar 

  38. Hulscher M, Laurant M, Grol R. Process evaluation on quality improvement interventions. Qual Saf Health Care. 2003;12:40–6.

    Article  CAS  PubMed  Google Scholar 

  39. Greco PJ, Eisenberg JM. Changing physicians’ practices [see comment]. New Engl J Med. 1993;329:1271–3.

    Article  CAS  PubMed  Google Scholar 

  40. Flottorp S, Havelsrud K, Oxman AD. Process evaluation of a cluster randomized trial of tailored interventions to implement guidelines in primary care—why is it so hard to change practice? Fam Pract. 2003;20:333–9.

    Article  PubMed  Google Scholar 

  41. Paton SM. Four Days with W. Edwards Deming. Potomac, MD: The W. Edwards Deming Institute; 1993.

    Google Scholar 

  42. Demakis JG, Lynn McQueen L, Kenneth W, Kizer KW, Feussner JR. Quality Enhancement Research Initiative (QUERI): a collaboration between research and clinical practice. Med Care. 2000;38(suppl 1):117–25.

    Google Scholar 

  43. Burns CM, Vicente KJ. A participant-observer study of ergonomics in engineering design: how constraints drive design process. Appl Ergon. 2000;31:73–82.

    Article  CAS  PubMed  Google Scholar 

  44. Burns CM, Vicente KJ, Christoffersen K, Pawlak WS. Towards viable, useful and usable human factors design guidance. Appl Ergon. 1997;28:311–22.

    Article  CAS  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Laura K. Kochevar PhD.

Additional information

The authors have no conflict of interest to declare for this article.

See Editorial by Catarina I. Kiefe and Anne Sales, p. S67.

This paper was provided as background material for the VA State of the Art Conference on Implementation Research, August 30–September 1, 2004. This work has been supported by VA HSR&D grants CAN 01-133, CRS 02-162, CRT 02-059, and CRS 02-163-1. The authors wish to thank the Colorectal Cancer QUERI Executive Committee and research affiliates and the VA HSR&D QUERI Director’s office, Research Coordinators, and Implementation Research Coordinators for their valuable input.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Kochevar, L.K., Yano, E.M. Understanding health care organization needs and context. J Gen Intern Med 21 (Suppl 2), S25–S29 (2006). https://doi.org/10.1007/s11606-006-0271-0

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11606-006-0271-0

Key words

Navigation