Implementation of the Resident Assessment Instrument/Minimum Data Set in the Nursing Home as Organization: Implications for Quality Improvement in RN Clinical Assessment

Geriatric Nursing

Volumn 28, Issue 6, 2007, Pages 377-386

  Dellefield, Mary Ellen ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

AGED; ARTICLE; CLINICAL COMPETENCE; GERIATRIC ASSESSMENT; HEALTH CARE PLANNING; HUMAN; MEDICAID; MEDICARE; METHODOLOGY; NURSING ASSESSMENT; NURSING HOME; STANDARD; TOTAL QUALITY MANAGEMENT; UNITED STATES;

AGED; CLINICAL COMPETENCE; GERIATRIC ASSESSMENT; HEALTH PLAN IMPLEMENTATION; HUMANS; MEDICAID; MEDICARE; NURSING ASSESSMENT; NURSING HOMES; REFERENCE STANDARDS; TOTAL QUALITY MANAGEMENT; UNITED STATES;

EID: 36649009492     PISSN: 01974572     EISSN: 15283984     Source Type: Journal    
DOI: 10.1016/j.gerinurse.2007.03.002     Document Type: Article

References (73)

1. Mor V. A comprehensive clinical assessment tool to inform policy and practice: applications of the Minimum Data Set. Med Care 42 (2004) III50-III59
2. Morris J.A., Hawes C., Fries B.E., et al. Designing the national resident assessment instrument for nursing homes. Gerontologist 30 (1990) 293-302
3. Arling G., Kane R.L., Lewis T., et al. Future development of nursing home quality indicators. Gerontologist 45 (2005) 147-156
4. Shortell S.M., Bennett C.L., and Byck G.R. Assessing the impact of continuous quality improvement on clinical practice: what it will take to accelerate progress. Milbank Quarterly 76 (1998) 593-624
5. Grol R., Wensing M., and Eccles M. Improving patient care: the implementation of change in clinical practice (2003), Elsevier, Butterworth, Heinemann, London
6. Phillips C.D. Yali's question and the study of nursing homes as organizations. Gerontologist 42 (2002) 154-155
7. Morris JN, Nonemaker S, Murphy K, et al. A commitment to change: revision of HCFA's RAI;1997;45:1011-16.
8. Saliba D., and Maslow K. Revising the MDS to increase nursing home resident voice. 58th Annual Scientific Meeting of the Gerontological Society of America. Nov. 18-22, Orlando, Florida. p. 373. (2005)
9. Centers for Medicare and Medicaid Services. Revised long-term care resident assessment instrument user's manual (version 2.0) (2002), Author, Baltimore
10. Dellefield M.E. Interdisciplinary care planning and the written care plan in nursing homes: a critical review. Gerontologist 46 (2006) 128-133
11. Fries B.E., Schneider D.P., Foley W.J., et al. Refining a case-mix measure for nursing homes: resource utilization groups (RUG-III). Med Care 32 (1994) 668 5
12. Centers for Medicare and Medicaid Services. http://new.cms.hhs.gov/SNFPPS/ Cited December 20, 2006
13. Zimmerman D.R. Improving nursing home quality of care through outcomes data: the MDS quality indicators. Int J Geriatr Psychiatry 18 (2002) 250-257
14. Arling G.K., Kane R.L., Lewis T., et al. Future development of nursing home quality indicators. Gerontologist 45 (2005) 147-156
15. Bates-Jensen B.M., Simmons S.F., Schnelle J., et al. Evaluating the accuracy of minimum data set bed mobility ratings against independent performance assessments: systematic error and directions for improvement. Gerontologist 45 (2005) 731-738
16. Lum T.Y., Lin W., and Kane R.L. Use of proxy respondents and accuracy of minimum data set assessments of activities of daily living. J Gerontol A Biol Sci Med Sci 60 (2005) 654-659
17. Schnelle J.F., Bates-Jensen B.M., Chu L., et al. Accuracy of nursing home medical record information about care-process delivery: implications for staff management and improvement. Am J Geriatr Soc 52 (2004) 1378-1383
18. Schnelle J.F., Cadogan M.P., Yoshii J., et al. The minimum data set urinary incontinence quality indicators: do they reflect differences in care processes related to incontinence?. Med Care 41 (2003) 909-922
19. Bates-Jensen B.M., Cadogan M., Osterweil D., et al. The minimum data set pressure ulcer indicator: does it reflect differences in care processes related to pressure ulcer prevention and treatment in nursing homes. J Am Geriatr Soc 51 (2003) 1203-1212
20. Simmons S.F., Garcia E.T., Cadogan M.P., et al. The minimum data set weight-loss quality indicator: does it reflect differences in care processes related to weight loss?. J Am Geriatr Soc 51 (2003) 1410-1418
21. Cadogan M.P., Schnelle J.F., Yamamoto-Mitani N., et al. A minimum data set prevalence of pain quality indicator: is it accurate and does it reflect differences in care processes?. J Gerontol A Biol Sci Med Sci 59 (2004) 281-285
22. Schnelle J.F., Bates-Jensen B.M., Levy-Storms L., et al. The minimum data set prevalence of restraint quality indicator: does it reflect differences in care?. Gerontologist 44 (2004) 245-255
23. Simmons S.F., Cadogan M.P., Cabrera G.R., et al. The minimum data set depression quality indicator: does it reflect differences in care processes?. Gerontologist 44 (2004) 554-564
24. Topping S., and Hernandez S.R. Health care strategy research, 1985-1990: a critical review. Med Care Rev 48 (1991) 47-89
25. Kane R.L. The implications of assessment. J Gerontol 48 Special Issue (1993) 27-31
26. American Health Care Association. The long-term care survey (2005), American Health Care Association, Washington, DC
27. Institute of Medicine (US). Nursing staff in hospitals and nursing homes: is it adequate? (1996), National Academy Press, Washington, DC
28. Center for health Workforce Distribution Studies University of California San Francisco. Supply, demand, and use of licensed practical nurses (2004), Department of Health and Human Services, Washington, DC Grant No. 1-U79-HP-00032-01
29. Mueller C. The legalities of nursing supervision: the interchangeability of the RN and LPN role in nursing homes. The 58th Annual Scientific Meeting of the Gerontological Society of America; Nov. 18-22, 2005; Orlando, Florida. p. 387.
30. United States General Accounting Office. Nursing home resident assessment data (2001), Author, Washington, DC
31. Harrington C., Carrillo H., and Mullan J.H. Nurse staffing in nursing homes in the United States. J Gerontol Nurs 31 (2005) 18-23
32. Hawes C., Morris J.N., Phillips C.D., et al. Reliability estimates for the minimum data set for nursing home resident assessment and care screening (MDS). Gerontologist 35 (1995) 172-178
33. Fries B.E., Hawes C., Morris J.N., et al. Effect of the national resident assessment instrument on selected health conditions and problems. Am J Geriatr Soc 45 (1997) 994-1001
34. Hawes C., Mor V., Phillips C.D., et al. The OBRA-87 nursing home regulations and implementation of the resident assessment instrument: effects on process quality. Am J Geriatr Soc 45 (1997) 977-985
35. Mor V., Intrator O., Fries B.E., et al. Changes in hospitalization associated with introducing the resident assessment instrument. Am J Geriatr Soc 45 (1997) 1002-1010
36. Phillips C.D., Morris J.N., Hawes C., et al. Association of the resident assessment instrument (RAI) with changes in function, cognition, and psychosocial status. Am J Geriatr Soc 45 (1997) 986-993
37. Casten R., Lawton M.P., Parmelee P.A., et al. Psychometric characteristics of the minimum data set I: confirmatory factor analysis. Gerontologist 46 (1998) 726-735
38. Lawton M.P., Casten R., Parmelee P.A., et al. Psychometric characteristics of the minimum data set II: validity. Gerontologist 46 (1998) 736-744
39. Snowdon M., McCormick W., Russo J., et al. Validity and responsiveness of the minimum data set. Am J Geriatr Soc 47 (1999) 1000-1004
40. Crooks V.C., Schnelle J.F., Ouslander J.P., et al. Use of the minimum data set to rate incontinence severity. Am J Geriatr Soc 43 (1995) 1363-1369
41. Gambassi G., Landi F., Peng L., et al. Validity of diagnostic and drug data in standardized nursing home resident assessments: potential for geriatric pharmacoepidemiology. Med Care 36 (1998) 167-179
42. Mentes J., Culp K., Maas M., et al. Acute confusion indicators: risk factors and prevalence using MDS data. Res Nurs Health 22 (1999) 95-105
43. Culp K., Mentes J.C., and McConnel E.S. Studying acute confusion in long-term care: clinical investigation or secondary data analysis using the minimum data set?. J Gerontol Nurs (2001) 41-48 April
44. Hendrix C., Sakauye K.M., Karabatsos G., et al. The use of the minimum data set to identify depression in the elderly. J Am Med Dir Assoc (2003) 308-312 November/December
45. Stevenson K.B., Moore J.W., and Sleeper B. Validity of the minimum data set in identifying urinary tract infections in residents of long-term care facilities. Am J Geriatr Soc 52 (2004) 707-711
46. Avidan A.Y., Fries B.E., James M.L., et al. Insomnia and hypnotic use, recorded in the minimum data set as predictors of falls and hip fractures in Michigan nursing homes. Am J Geriatr Soc 53 (2005) 955-962
47. Morris J.N., Fries B.E., Mehr D.R., et al. MDS cognitive performance scale. J Gerontol A Biol Sci Med Sci 49 (1994) M174-M182
48. Mor V., Branco K., Fleishman J., et al. The structure of social engagement among nursing home residents. J Gerontol B Psychol Sci Med Sci 50B (1995) P1-P8
49. Hartmaier S.L., Sloane P.D., Guess H.A., et al. Validation of the minimum data set cognitive performance scale: agreement with the mini-mental state examination. J Gerontol A Biol Sci Med Sci (1995) M128-M133
50. Williams B.C., Li Y., Fries B.E., and Warren R.L. Predicting patient score between the functional independence measure and the minimum data set: development and performance of a FIM-MDS "crosswalk.". Arch Phys Med Rehabil 78 (1997) 48-54
51. Fries B.E., Simon S.E., Morris J.N., et al. Pain in U.S. nursing homes: validating a pain scale for the minimum data set. Gerontologist 41 (2001) 173-179
52. Hides J.P., Frijters D.H., and Teare G.F. The MDS-CHESS scale: a new measure to predict mortality in institutionalized older people. Am J Geriatr Soc 51 (2003) 96-100
53. Fries B.E., Schroll M., Hawes C., et al. Approaching cross-national comparisons of nursing home residents. Age Ageing 26 S2 (1997) 13-18
54. Ikegami N., Morris J.N., and Fries B.E. Low-care cases in long-term care settings: variations among nations. Age Ageing 26 Suppl 2 (1997) 67-71
55. Hill A., and Yu W. Evaluation of the VA nursing home resident assessment instrument minimum data set: resource utilization group III in FY2001 and FY 2002 (2004), Health Economics Resource Center, Menlo Park, CA
56. Office of Inspector General, and Nursing home resident assessment resource utilization groups (2000), Department of Health and Human Services, Washington, DC
57. Office of Inspector General. Nursing home resident assessment quality of care (2001), Department of Health and Human Services, Washington, DC
58. Rantz M.J., Popejoy L., Zwygart-Stauffacher M., et al. Minimum data set and resident assessment instrument: can using standardized assessment improve clinical practice and outcomes of care?. J Gerontol Nurs (1999) 35-43 June
59. Rantz M.J., Zwygart-Stauffacher M., Popejoy L.L., et al. The minimum data set: no longer just for clinical assessment. Ann Long-Term Care 7 (1999) 354-360
60. Teresi J.A., and Holmes D. Should MDS data be used for research. Gerontologist 32 (1992) 148-149
61. Hawes C., Phillips C.D., Mor V., et al. MDS data should be used for research. Gerontologist 32 (1992) 563-564
62. Oatway D. AANAC membership survey results. American Association of Nurse Assessment Coordinators. The Quarterly Newsletter for Nurse Assessment Coordinators (2001) 4-6
63. Nichols C.L., and Willis L.A. The paired RAI/MDS specialist model. J Gerontol Nurs (2004) 6-11 October
64. American Association of Nurse Assessment Coordinators. http://www.AANAC.org Cited September 20, 2006
65. Brown L, editor. The new shorter oxford English dictionary on historical principles, Vol 1. Oxford;Clarendon Press.
66. Piven M.L., Ammarell N., Bailey D., et al. MDS coordinator relationships and nursing home process. West J Nurs Res 28 (2006) 294-309
67. Tauton R.L., Swagerty D.L., Smith B., et al. Care planning for nursing home residents: incorporating the minimum data set requirements into practice. J Geront Nurs (2004) 40-49 December
68. Donabedian A. The role of outcomes in quality assessment and assurance. Qual Rev Bul 11:356-60.
69. Weiner A., and Ronich J. Culture change in long-term care (2003), Haworth Press, New York
70. Shephard R. SNF PPS revisions. Adv Prov Post-Acute Care 9/10 (2006) 18-19
71. Krichbaum KE, Pearson V, Hanscom J. Better care in nursing homes: advanced practice nurses' strategies for improving staff use of protocols. Clin Nurse Spec;14:40-6.
72. Hanley T. Our system rewards poor quality. NH Mag 2 (2004) 8
73. Konetzka R.T., Norton E.C., Sloane P.D., et al. Medicare prospective payment and quality of care for long-stay nursing facility residents. Med Care 44 (2006) 270-276