Advantages and disadvantages of using MDS data in nursing research

Journal of Gerontological Nursing

Volumn 35, Issue 1, 2009, Pages 7-17

  Shin, Juh Hyun ^a   Sherer, Yvonne ^a  

^a UNIVERSITY AT BUFFALO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AGED; FACTUAL DATABASE; GERIATRIC ASSESSMENT; HEALTH SURVEY; HUMAN; NURSING HOME; NURSING RESEARCH; PSYCHOMETRY; REPRODUCIBILITY; REVIEW; STATISTICS; UNITED STATES;

AGED; DATABASES, FACTUAL; GERIATRIC ASSESSMENT; HEALTH SURVEYS; HUMANS; NURSING HOMES; NURSING RESEARCH; PSYCHOMETRICS; REPRODUCIBILITY OF RESULTS; UNITED STATES;

EID: 63349088267     PISSN: 00989134     EISSN: None     Source Type: Journal    
DOI: 10.3928/00989134-20090101-09     Document Type: Review

References (66)

1. Aaronson, L.S., & Burman, M.E. (1994). Use of health records in research: Reliability and validity issues. Research in Nursing & Health, 17, 67-73.
2. Anderson, L., Connolly, B., Pratt, M., & Shapiro, R. (2003, June). MDS 3.0 for nursing homes. Retrieved December 1, 2008, from http://www.cms.hhs.gov/NursingHomeQualityInits/25_NHQIMDS30.asp
3. Anderson, R.L., Buckwalter, K.C., Buchanan, R.J., Maas, M.L., & Imhof, S.L. (2003). Validity and reliability of the minimum data set depression rating scale (MDSDRS) for older adults in nursing homes. Age and Ageing, 32, 435-438.
4. Blaum, C.S., O'Neill, E.F., Clements, K.M., Fries, B.E., & Fiatarone, M.A. (1997). Validity of the minimum data set for assessing nutritional status in nursing home residents. American Journal of Clinical Nutrition, 66, 787-794.
5. Burrows, A.B., Morris, J.N., Simon, S.E., Hirdes, J.P., & Phillips, C. (2000). Development of a minimum data set-based depression rating scale for use in nursing homes. Age and Ageing, 29, 165-172.
6. Byar, D.P. (1980). Why data bases should not replace randomized clinical trials. Biometrics, 36, 337-342.
7. Casten, R., Lawton, M.P., Parmelee, P.A., & Kleban, M.H. (1998). Psychometric characteristics of the minimum data set I: Confirmatory factor analysis. Journal of the American Geriatrics Society, 46, 726-735.
8. Castle, J.E. (2003). Maximizing research opportunities: Secondary data analysis. Journal of Neuroscience Nursing, 35, 287-290.
9. Centers for Medicare & Medicaid Services. (2005). MDS 3.0 update. Retrieved June 30, 2006, from http://www.cms.hhs.gov/ NursingHomeQualityInits/downloads/MDS30MDS30Update.pdf
10. Centers for Medicare & Medicaid Services. (2008, July). Revised long-term care facility resident assessment instrument user's manual. Version 2.0. Retrieved November 5, 2008, from http://www.cms.hhs.gov/ nursinghomequalityinits/20_NHQIMDS20.asp (Original work published 2002)
11. Chomiak, A., Eccord, M., Frederickson, E., Glass, R., Glickman, M., Grigsby, J., et al. (2001). Final report: Development and testing of a minimum data set accuracy verification protocol. Baltimore: Centers for Medicare & Medicaid Services.
12. Cohen-Mansfield, J., Taylor, L., McConnell, D., & Horton, D. (1999). Estimating the cognitive ability of nursing home residents from the minimum data set. Outcomes Management for Nursing Practice, 3, 43-46.
13. Connell, F.A., Diehr, P., & Hart, L.G. (1987). The use of large data bases in health care studies. Annual Review of Public Health, 8, 51-74.
14. Fisher, S.E., Burgio, L.D., Thorn, B.E., Allen-Burge, R., Gerstle, J., Roth, D.L., et al. (2002). Pain assessment and management in cognitively impaired nursing home residents: Association of certified nursing assistant pain report, minimum data set pain report, and analgesic medication use. Journal of the American Geriatrics Society, 50, 152-156.
15. Gruber-Baldini, A.L., Zimmerman, S.I., Mortimore, E., & Magaziner, J. (2000). The validity of the minimum data set in measuring the cognitive impairment of persons admitted to nursing homes. Journal of the American Geriatrics Society, 48, 1601-1606.
16. Hartmaier, S.L., Sloane, P.D., Guess, H.A., & Koch, G.G. (1994). The MDS cognition scale: A valid instrument for identifying and staging nursing home residents with dementia using the minimum data set. Journal of the American Geriatrics Society, 42, 1173-1179.
17. Harvell, J. (2004). Addressing the healthcare needs of our aging population with technology. Retrieved March 30, 2005, from the Institute of Electrical and Electronics Engineers Web site: http://www.ieeeusa.org/calendar/conferences/geriatrictech/ JennieHarvellHHS.ppt
18. Hawes, C., Mor, V., Phillips, C.D., Fries, B.E., Morris, J.N., Steele-Friedlob, E., et al. (1997). The OBRA-87 nursing home regulations and implementation of the resident assessment instrument: Effects on process quality. Journal of the American Geriatrics Society, 45, 977-985.
19. Hawes, C., Morris, J.N., Phillips, C.D., Mor, V., Fries, B.E., & Nonemaker, S. (1995). Reliability estimates for the minimum data set for nursing home resident assessment and care screening (MDS). The Gerontologist, 35, 172-178.
20. Hendrix, C.C., Sakauye, K.M., Karabatsos, G., & Daigle, D. (2003). The use of the minimum data set to identify depression in the elderly. Journal of the American Medical Directors Association, 4, 308-312.
21. Home at last. (1999). Elder Care, 11(5), 32.
22. Horgas, A.L., & Margrett, J.A. (2001). Measuring behavioral and mood disruptions in nursing home residents using the minimum data set. Outcomes Management for Nursing Practice, 5, 28-35.
23. Institute of Medicine. (2001). Improving the quality of long-term care. Retrieved November 6, 2008, from the National Academies Press Web site: http://books.nap.edu/html/improving_long_term/
24. Jacob, H. (1984). Using published data: Errors and remedies. Newbury Park, CA: Sage.
25. Karon, S.L., Sainfort, F., & Zimmerman, D.R. (1999). Stability of nursing home quality indicators over time. Medical Care, 37, 570-579.
26. Koehler, M., Rabinowitz, T., Hirdes, J., Stones, M., Carpenter, G.I., Fries, B.E., et al. (2005). Measuring depression in nursing home residents with the MDS and GDS: An observational psychometric study. BMC Geriatrics, 5, 1. Retrieved November 5, 2008, from http://www.biomedcentral.com/1471-2318/5/1
27. Kovner, C.T., Mezey, M., & Harrington, C. (2002). Who cares for older adults? Workforce implications of an aging society. Health Affairs (Millwood), 21, 78-89.
28. Lange, L.L., & Jacox, A. (1993). Using large data bases in nursing and health policy research. Journal of Professional Nursing, 9, 204-211.
29. Lawton, M.P., Casten, R., Parmelee, P.A., Van Haitsma, K., Corn, J., & Kleban, M.H. (1998). Psychometric characteristics of the minimum data set II: Validity. Journal of the American Geriatrics Society, 46, 736-744.
30. Lum, T.Y., Lin, W.C., & Kane, R.L. (2005). Use of proxy respondents and accuracy of minimum data set assessments of activities of daily living. Journals of Gerontology. Series A, Biological Sciences and Medical Sciences, 60, 654-659.
31. Lyons, T.F., & Payne, B.C. (1974). The relationship of physicians' medical recording performance to their medical care performance. Medical Care, 12, 714-720.
32. Marek, K.D., Rantz, M.J., Fagin, C.M., & Krejci, J.W. (1996). OBRA '87: Has it resulted in better quality of care? Journal of Gerontological Nursing, 22(10), 28-36.
33. McCurren, C. (2002). Assessment for depression among nursing home elders: Evaluation of the MDS mood assessment. Geriatric Nursing, 23, 103-108.
34. Meeks, S. (2004). Further evaluation of the MDS depression scale versus the Geriatric Depression Scale among nursing home residents. Journal of Mental Health and Aging, 10, 325-335.
35. Mezey, M.D., Mitty, E.L., Bottrell, M.M., Ramsey, G.C., & Fisher, T. (2000). Advance directives: Older adults with dementia. Clinics in Geriatric Medicine, 16, 255-268.
36. Migdail, K.J. (1992). Nursing home reform: Five years later. Journal of American Health Policy, 2(5), 41-46.
37. Mohler, M.M. (2001). Nursing home staffing adequacy: Nurses speak out. Policy, Politics, & Nursing Practice, 2, 128-133.
38. Mor, V., Berg, K., Angelelli, J., Gifford, D., Morris, J., & Moore, T. (2003). The quality of quality measurement in U.S. nursing homes. The Gerontologist, 43(Special No. 2), 37-46.
39. Morris, J.N., Fries, B.E., Mehr, D.R., Hawes, C., Phillips, C., Mor, V., et al. (1994). MDS cognitive performance scale. Journal of Gerontology, 49, M174-M182.
40. Morris, J.N., Fries, B.E., & Morris, S.A. (1999). Scaling ADLs within the MDS. Journals of Gerontology. Series A, Biological Sciences and Medical Sciences, 54, M546-M553.
41. Morris, J.N., Nonemaker, S., Murphy, K., Hawes, C., Fries, B.E., Mor, V., et al. (1997). A commitment to change: Revision of HCFA's RAI. Journal of the American Geriatrics Society, 45, 1011-1016.
42. Mukamel, D.B., & Spector, W.D. (2003). Quality report cards and nursing home quality. The Gerontologist, 43(Special No. 2), 58-66.
43. National Academy on an Aging Society. (2000). Alzheimer's disease and dementia: A growing challenge. Retrieved November 5, 2008, from http://www.agingsociety.org/agingsociety/pdf/Alzheimers.pdf
44. Nicoll, L.H., & Beyea, S.C. (1999). Using secondary data analysis for nursing research. AORN Journal, 69, 428, 430, 433.
45. Omnibus Budget Reconciliation Act of 1987, Pub. L. No. 100-203, §2, 101 Stat. 1330 (1987).
46. Ouslander, J.G. (1994). Maximizing the minimum data set. Journal of the American Geriatrics Society, 42, 1212-1213.
47. Pabst, M.K. (2001). Methodological considerations: Using large data sets. Outcomes Management for Nursing Practice, 5, 6-10.
48. Phillips, C.D., Hawes, C., Mor, V., Fries, B., & Morris, J. (1996). Evaluation of the nursing home resident assessment instrument. Research Triangle Park, NC: Research Triangle Institute.
49. Polit, D.F., & Beck, C.T. (2006). Essentials of nursing research: Methods, appraisal, and utilization (6th ed.). Philadelphia: Lippincott Williams & Wilkins.
50. Rantz, M.J., & Connolly, R.P. (2004). Measuring nursing care quality and using large data sets in nonacute care settings: State of the science. Nursing Outlook, 52, 23-37.
51. Rantz, M.J., Mehr, D.R., Conn, V.S., Hicks, L.L., Porter, R., Madsen, R.W., et al. (1996). Assessing quality of nursing home care: The foundation for improving resident outcomes. Journal of Nursing Care Quality, 10, 1-9.
52. Rantz, M.J., Petroski, G.F., Madsen, R.W., Mehr, D.R., Popejoy, L., Hicks, L.L., et al. (2000). Setting thresholds for quality indicators derived from MDS data for nursing home quality improvement reports: An update. Joint Commission Journal on Quality Improvement, 26, 101-110.
53. Reilly, K.E. (2001). Development and testing of a minimum data set accuracy verification protocol: Final report. Bethesda, MD: Abt Associates.
54. Ryan, J., Stone, R.I., & Raynor, C.R. (2004). Using large data sets in long-term care to measure and improve quality. Nursing Outlook, 52, 38-44.
55. Schnelle, J.F., Wood, S., Schnelle, E.R., & Simmons, S.F. (2001). Measurement sensitivity and the minimum data set depression quality indicator. The Gerontologist, 41, 401-405.
56. Simmons, S.F., Lim, B., & Schnelle, J.F. (2002). Accuracy of minimum data set in identifying residents at risk for undernutrition: Oral intake and food complaints. Journal of the American Medical Directors Association, 3, 140-145.
57. Snowden, M., McCormick, W., Russo, J., Srebnik, D., Comtois, K., Bowen, J., et al. (1999). Validity and responsiveness of the minimum data set. Journal of the American Geriatrics Society, 47, 1000-1004.
58. Stevenson, K.B., Moore, J.W., & Sleeper, B. (2004). Validity of the minimum data set in identifying urinary tract infections in residents of long-term care facilities. Journal of the American Geriatrics Society, 52, 707-711.
59. Suri, D.N., Egleston, B.L., Brody, J.A., & Rudberg, M.A. (1999). Nursing home resident use of care directives. Journals of Gerontology. Series A, Biological Sciences and Medical Sciences, 54, M225-M229.
60. Toth, A.M., Bliss, D.Z., Savik, K., & Wyman, J.F. (2008). Validating MDS data about risk factors for perineal dermatitis by comparing with nursing home records. Journal of Gerontological Nursing, 34(5), 12-18.
61. U.S. Department of Health and Human Services, Office of the Inspector General. (2001). Nursing home resident assessment quality of care (OEI-02-99-00040). Retrieved November 5, 2008, from http://www.oig.hhs.gov/oei/reports/oei-02-99-00040.pdf
62. U.S. General Accounting Office. (2002). Nursing homes. Federal efforts to monitor resident assessment data should complement state activities (Report No. GAO-02-279). Retrieved March 21, 2005, from http://www.gao.gov/new.items/d02279.pdf
63. VonKoss Krowchuk, H., Moore, M.L., & Richardson, L. (1995). Using health care records as sources of data for research. Journal of Nursing Measurement, 3, 3-12.
64. Won, A., Morris, J., Nonemaker, S., & Lipsitz, L.A. (1999). A foundation for excellence in long-term care: The minimum data set. Annals of Long-Term Care, 7, 92-97.
65. Zimmerman, D.R. (2003). Improving nursing home quality of care through outcomes data: The MDS quality indicators. International Journal of Geriatric Psychiatry, 18, 250-257.
66. Zimmerman, D.R. (2005). The MDS QI's: A potential resource for consumers in monitoring care. Retrieved March 1, 2005, from the National Long Term Care Ombudsman Resource Center Web site: http://www.ltcombudsman.org/ombpublic/49_369_3131.cfm