Bibliography

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Bjorkgren M.A, Hakkinen U., Finne-Soveri U.H, Fries B.E.  1999.  Validity and reliability of Resource Utilization Groups (RUG-III) in Finnish long-term care facilities. Scandinavian Journal of Public Health. 27(3):228-34.
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Bula C.J, Wietlisbach V..  2009.  Use of the Cognitive Performance Scale (CPS) to detect cognitive impairment in the acute care setting: concurrent and predictive validity. Brain Res Bull. 80(4-5):173-8.
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Ben Liu C-pun, Leung DSik-yee, Chi I.  2011.  Social functioning, polypharmacy and depression in older Chinese primary care patients. Aging & Mental Health. 15(6):732-41.
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Wipke-Tevis D.D, Rantz M.J, Mehr D.R, Popejoy L., Petroski G., Madsen R., Conn V.S, Grando V.T, Porter R., Maas M..  2000.  Prevalence, incidence, management, and predictors of venous ulcers in the long-term-care population using the MDS. Advances in Skin & Wound Care. 13(5):218-24.
Binder E.F, Kruse R.L, Sherman A.K, Madsen R., Zweig S.C, D'Agostino R., Mehr D.R.  2003.  Predictors of short-term functional decline in survivors of nursing home-acquired lower respiratory tract infection. J Gerontol A Biol Sci Med Sci. 58(1):60-7.
Landi F., Bernabei R., Russo A., Zuccala G., Onder G., Carosella L., Cesari M., Cocchi A..  2002.  Predictors of rehabilitation outcomes in frail patients treated in a geriatric hospital. J Am Geriatr Soc. 50(4):679-84.
Gambassi G., Landi F., Lapane K.L, Sgadari A., Mor V., Bernabei R..  1999.  Predictors of mortality in patients with Alzheimer's disease living in nursing homes. J Neurol Neurosurg Psychiatry. 67(1):59-65.
Langmore S.E, Skarupski K.A, Park P.S, Fries B.E.  2002.  Predictors of aspiration pneumonia in nursing home residents. Dysphagia. 17(4):298-307.
Williams B.C, Li Y., Fries B.E, Warren R.L.  1997.  Predicting patient scores between the functional independence measure and the minimum data set: development and performance of a FIM-MDS "crosswalk".[erratum appears in Arch Phys Med Rehabil 1998 Feb;79(2):231]. Archives of Physical Medicine & Rehabilitation. 78(1):48-54.
Williams B.C, Li Y., Fries B.E, Warren R.L.  1997.  Predicting patient scores between the functional independence measure and the minimum data set: development and performance of a FIM-MDS "crosswalk". Arch Phys Med Rehabil. 78(1):48-54.
Neufeld E., Perlman C.M, Hirdes J.P.  2012.  Predicting inpatient aggression using the InterRAI risk of harm to others clinical assessment protocol: a tool for risk assessment and care planning. J Behav Health Serv Res. 39(4):472-80.
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Gerritsen D.L, Achterberg W.P, Steverink N., Pot A.M, Frijters D.H, Ribbe M.W.  2008.  The MDS Challenging Behavior Profile for long-term care. Aging & Mental Health. 12(1):116-23.
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Ensberg M.D, Paletta M.J, Galecki A.T, Dacko C.L, Fries B.E.  1993.  Identifying elderly patients for early discharge after hospitalization for hip fracture. Journal of Gerontology. 48(5):M187-95.
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Lapane K.L, Gambassi G., Landi F., Sgadari A., Mor V., Bernabei R..  2001.  Gender differences in predictors of mortality in nursing home residents with AD. Neurology. 56(5):650-4.
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Hubbard RE, Peel NM, Samanta M, Gray L.eonardC, Mitnitski A, Rockwood K.  2017.  Frailty status at admission to hospital predicts multiple adverse outcomes. Age Ageing. 46(5):801-806.
Berry S.D, Zullo A.R, Lee Y., Mor V., McConeghy K.W, Banerjee G., D'Agostino, Sr. R.B, Daiello L., Dosa D., Kiel D.P.  2018.  Fracture Risk Assessment in Long-term Care (FRAiL): Development and Validation of a Prediction Model. J Gerontol A Biol Sci Med Sci. 73(6):763-769.
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Armstrong J.J, Stolee P., Hirdes J.P, Poss J.W.  2010.  Examining three frailty conceptualizations in their ability to predict negative outcomes for home-care clients. Age Ageing. 39(6):755-8.
Berlowitz D.R, Brandeis G.H, Anderson J.J, Ash A.S, Kader B., Morris J.N, Moskowitz M.A.  2001.  Evaluation of a risk-adjustment model for pressure ulcer development using the Minimum Data Set. Journal of the American Geriatrics Society. 49(7):872-6.
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Berlowitz D.R, Brandeis G.H, Morris J.N, Ash A.S, Anderson J.J, Kader B., Moskowitz M.A.  2001.  Deriving a risk-adjustment model for pressure ulcer development using the Minimum Data Set.. Journal of the American Geriatrics Society. 49(7):866-71.
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Zulkowski K.  1999.  A conceptual model of pressure ulcer prevalence: MDS+ items and nutrition. Ostomy Wound Manage. 45(2):36-8,40,42-4.
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Kerse N., Boyd M., McLean C., Koziol-McLain J., Robb G..  2008.  The BRIGHT tool. Age Ageing. 37(5):553-88.
Landi F., Onder G., Gambassi G., Pedone C., Carbonin P., Bernabei R..  2000.  Body mass index and mortality among hospitalized patients. Arch Intern Med. 160(17):2641-4.