Risk adjusting outcome measures for post-acute care

American Journal of Medical Quality

Volumn 18, Issue 2, 2003, Pages 66-72

  Fries, Brant E ^a   Morris, John N ^b   Aliaga, Pablo ^a   Jones, Richard ^b  

^a UNIVERSITY OF MICHIGAN HEALTH SYSTEM   (United States)

^b RESEARCH AND TRAINING INSTITUTE   (United States)

Author keywords

Cognitive decline; Decubitus ulcers; Functional decline; Outcomes

Indexed keywords

ARTICLE; CLINICAL PRACTICE; HEALTH CARE QUALITY; HOME CARE; HUMAN; LOGISTIC REGRESSION ANALYSIS; OUTCOMES RESEARCH; POPULATION RESEARCH; RISK ASSESSMENT; UNITED STATES; AGED; COGNITIVE DEFECT; DAILY LIFE ACTIVITY; DECUBITUS; HEALTH SERVICES RESEARCH; INTENSIVE CARE; METHODOLOGY; NURSING; STANDARD; STATISTICAL MODEL; STATISTICS; TREATMENT OUTCOME;

ACTIVITIES OF DAILY LIVING; AGED; COGNITION DISORDERS; HEALTH SERVICES RESEARCH; HOME CARE SERVICES; HUMANS; LOGISTIC MODELS; MICHIGAN; OUTCOME AND PROCESS ASSESSMENT (HEALTH CARE); PRESSURE ULCER; QUALITY INDICATORS, HEALTH CARE; RISK ADJUSTMENT; SUBACUTE CARE;

EID: 0037809500     PISSN: 10628606     EISSN: None     Source Type: Journal    
DOI: 10.1177/106286060301800204     Document Type: Article

References (17)

1. Kosecoff J, Kahn KL, Rogers WH, et al. Prospective payment system and impairment at discharge. The "quicker-and-sicker" story revisited. JAMA. 1990;264:1980-1983.
2. Manton KG, Woodbury MA, Vertrees JC, et al. Use of medicare services before and after introduction of the prospective payment system. Health Serv Res. 1993;3:269-292.
3. Shriver K. Outpatient, post-acute care grows. Mod Healthc. 1996;21:86-91.
4. Zimmerman DR, Karon SL, Arling G, et al. Development and testing of nursing home quality indicators. Health Care Financ Rev. 1995;16:107-127.
5. Morris J, Jones R, Harris Y, et al. Pilot field data collection efforts to validate nursing home quality indicators. Baltimore, Md: Centers for Medicare and Medicaid Services. Available at: http://www.cms.gov/providers/nursinghomes/nhi/Pre-Report3_20.pdf. Accessed May 15, 2002.
6. Hirdes JP, Fries BE, Morris JN, et al. Home care quality indicators (HCQIs) based on the MDS-HC. In press.
7. Arling G, Karon SL, Sainfort F, et al. Risk adjustment of nursing home quality indicators. Gerontologist. 1997;37:757-766.
8. Morris JN, Fries BE, Steel K, et al. Comprehensive clinical assessment in community setting: applicability of the MDS-HC. J Am Geriatr Soc. 1997;45:1017-1024.
9. Hawes C, Morris JN, Phillips CD, et al. Reliability estimates for the minimum data set for nursing home resident assessment and care screening (MDS). Gerontologist. 1995;35:172-178.
10. Sgádari A, Morris JN, Fries BE, et al. Efforts to establish the reliability of the resident assessment instrument. Age Ageing. 1997;26:27-31.
11. Fleiss JL. Statistical Methods for Rates and Proportions. New York: John Wiley & Sons, Inc; 1973.
12. Morris JN, Fries BE, Mehr DR, et al. MDS cognitive performance scale. J Gerontol A Biol Sci Med Sci. 1994;49:M174-M182.
13. Hartmaier SL, Sloane PD, Guess HA, 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;50:M128-M133.
14. Morris JN, Fries BE, Morris SA. Scaling ADLs within the MDS. J Gerontol A Biol Sci Med Sci. 1999;54:M546-M553.
15. Fries BE, Simon SE, Morris JN, et al. Pain in US nursing homes: validating a pain scale for the minimum data set. Gerontologist. 2001;41:173-179.
16. Hirdes JP, Frijters DH, Teare GF. The MDS-CHESS scale: a new measure to predict mortality in institutionalized older people. J Am Geriatr Soc. 2003;51:96-100.
17. SAS Language for Personal Computers [computer program]. Version 8.2. Cary, NC: SAS Institute; 1999.