Geriatric Nursing
Volume 28, Issue 2 , Pages 90-98 , March 2007

The Development and Testing of a Questionnaire to Measure Complexity of Nursing Work Performed in Nursing Homes: NCCQ-NH

  • Donna Velasquez, PhD, RN, FNP-BC

      Affiliations

    • DONNA VELASQUEZ, PhD, RN, FNP-BC, is a clinical associate professor at the University of Arizona College of Nursing in Tucson, Arizona.

References 

  1. Institute of Medicine. Improving the quality of long-term care. Washington, DC: National Academy Press; 1996;
  2. Jones KR, Fink R, Vojir C, et al. Translation research in long-term care: improving pain management in nursing homes. Worldviews Evid Based Nurs. 2004;1(supp):S13–S20
  3. Ooi WL, Morris JN, Brandeis GH, et al. Nursing home characteristics and the development of pressure sores and disruptive behavior. Age Ageing. 1999;28:45–52
  4. Clarke D, Wahlqvist M, Strauss B. Undereating and undernutrition in old age: integrating bio-psychosocial aspects. Age Aging. 1998;27:527–534
  5. Kayser-Jones J, Schell E. The mealtime experience of cognitively impaired elder: ineffective and effective strategies. J Gerontol Nurs. 1997;23(7):33–39
  6. Schnelle JF, Leung FW. Urinary and fecal incontinence in nursing homes. Gastroenterology. 2004;126:S41–S47
  7. Kane RL. Commentary: nursing home staffing-more is necessary but not necessarily sufficient. Health Serv Res. 2004;39:251–256
  8. Schnelle JF, Simmons SF, Harrington C, et al. Relationship of nursing home staffing to quality of care. Health Ser Res. 2004;39:225–250
  9. Perrow C. A framework for the comparative analysis of organizations. Am Soc Rev. 1967;32:194–208
  10. Van De Ven AH. A framework for organizational Assessment. Acad Man Rev. 1976;64–78
  11. Morgen G. Images of organization. London: Sage Publications; 1997;
  12. Langfred CW, Moye NA. Effects of task autonomy on performance: an extended model considering motivational, informational, and structural mechanisms. J Appl Psychol. 2004;89:934–945
  13. Alexander JW, Mark B. Technology and structure of nursing organizations. Nurs Healthcare. 1990;11:195–199
  14. Alexander JW, Bauerschmidt AD. Implications for nursing administration of the relationship of technology and structure to quality of care. Nurs Adm Q. 1987;11:1–10
  15. Withey M, Daft RL, Cooper WH. Measures of Perrow’s work unit technology: an empirical assessment and a new scale. Acad Manage J. 1983;26:45–63
  16. Lynch BP. An empirical assessment of Perrow’s technology construct. Adm Sci Q. 1974;35:338–356
  17. Deutschman M. Interventions to nurture excellence in the nursing home. J Geron Nurs. 2001;37–43
  18. Colon-Emeric CS, Ammarell N, Bailey D, et al. Patterns of medical and nursing staff communication in nursing homes: implications and insights from complexity science. Qual Health Res. 2006;16:173–188
  19. Maas M, Buckwalter K, Specht J. Nursing staff and quality of care in nursing homes. In: Nursing staff in hospitals and nursing homes: is it adequate?. Washington, DC: National Academy Press; 1996;p. 361–425
  20. Center for Disease and Prevention/National Center for Health Statistics. National Nursing Home Survey 1999. 2007;Available at: www.cdc.gov./nchs/nnhs.htm. Cited January 10
  21. Eaton SC. Frontline caregivers in nursing facilities: can policy help in recruitment and retention crisis?. Public Policy Aging Rep. 2003;13(2):8–11
  22. Ray W. Improving quality of long-term care. Med Care. 2000;38:1151
  23. Banaszak-Holl J, Hines MA. Factors associated with nursing home staff turnover. Gerontologist. 1996;36:512–517
  24. Turnham H. Federal Nursing Home Reform Act from the Omnibus Budget Reconciliation Act of 1987. 2005;Available at: www.ltcombudsman.org/uploads/OBRA87summary.pdf Cited January 30
  25. Beck C, Heacock P, Mercer SO, et al. Improving dressing behavior in cognitively impaired nursing home residents. Nurs Res. 1997;46:126–132
  26. Wells L, Dawson P, Sidani S, et al. Effects of an abilities-focused program of morning care on residents who have dementia and on caregivers. J Am Geriatr Soc. 2000;48:442–449
  27. Barrick AL, Rader J, Hoeffer B. Bathing without a battle: personal care of individuals with dementia. New York: Springer Publishing Company; 2002;
  28. Mark BA, Salyer J, Smith CS. A theoretical model for nursing systems outcomes research. Nurs Adm Q. 1996;20(4):12–27
  29. Mark BA. Structural contingency theory. In:  Henry B,  Amdt C,  DiVincenti M, et al. editor. Dimensions of nursing administration. Boston: Blackwell Scientific Publication; 1998;p. 175–184
  30. Hickson DJ, Pugh DS, Phesey DC. Operations technology and organization structure: an empirical reappraisal. Adm Sci Q. 1969;14:378–397
  31. Verran JA. Testing a classification instrument for the ambulatory care setting. Res Nurs Health. 1986;9:279–287
  32. Verran JA, Reid PJ. Replicated testing of the nursing technology model. Nurs Res. 1987;36:190–194
  33. Polit DF, Beck CT. Nursing research: principles and methods. 7th ed.. Philadelphia: Lippincott, Williams, & Wilkins; 2004;
  34. Polit DF, Beck CT. The content validity index: are you sure you know what’s being reported? (Critique and recommendations). Res Nurs Health. 2006;29:489–497
  35. Waltz CF, Strickland OL, Lenz ER. Measurement in nursing and health research. 3rd ed.. New York: Springer Publishing Company; 2005;
  36. Lynn MR. Determination and quantification of content validity. Nurs Res. 1986;35:382–385
  37. Streiner DL, Norman GR. Health measurement scales. 2nd ed.. New York: Oxford University Press; 1995;
  38. Polit DF, Beck CT, Hungler BP. Essentials of nursing research: methods, appraisal, and utilization. 5th ed.. Philadelphia: Lippincott Williams & Wilkins; 2001;
  39. van Herk R, van Dijk M, Barr FPM, et al. Observation scales for pain assessment in older adults with cognitive impairments or communication difficulties. Nurs Res. 2007;56:34–43
  40. Nunnally JC. Psychometric theory. 2nd ed.. New York: McGraw-Hill; 1978;
  41. Field A. Discovering statistics using SPSS for Windows. London: Sage; 2000;
  42. Pett MA, Lackey NR, Sullivan JJ. Making sense of factor analysis. Thousand Oaks, CA: Sage; 2003;
  43. Nunnally JC, Bernstein IH. Psychometric theory. 3rd ed.. New York: McGraw-Hill; 1994;
  44. Salkind NJ. Statistics for people who think they hate statistics. London: Sage; 2004;
  45. Glisson CA. Dependence of technological routinization on structural variables in human services organizations. Admin Sci Q. 1978;23:383–395
  46. Overton P, Schneck R, Hazlett CB. An empirical study of the technology of nursing subunits. Adm Sc Q. 1977;22:203–219
  47. Alexander J, Kroposki M. Using a management perspective to define and measure changes in nursing technology. J Ad Nurs. 2001;35:776–783
  48. Alexander JW, Randolph WA. The fit between technology and structure as a predictor of performance in nursing subunits. Acad of Manage J. 1985;28:844–859
  49. Cumbey DA, Alexander JW. The relationship of job satisfaction with organizational variables in public health nursing. J Nurs Adm 28(5):39-46.
  50. Loveridge CE. Contingency theory: explaining staff nurse retention. J Nur Adm. 1988;18(6):22–25
  51. Leatt P, Schneck R. Nursing subunit technology: a replication. Adm Sc Q. 1981;26:225–236

PII: S0197-4572(07)00037-7

doi: 10.1016/j.gerinurse.2007.01.009

Geriatric Nursing
Volume 28, Issue 2 , Pages 90-98 , March 2007