메뉴 건너뛰기




Volumn 74, Issue 2, 2019, Pages 219-225

Development and Validation of the Nursing Home Minimum Data Set 3.0 Mortality Risk Score (MRS3)

Author keywords

Mortality; Nursing home; Prognosis; Risk adjustment

Indexed keywords

ADULT; ARTICLE; CALIBRATION; CHARLSON COMORBIDITY INDEX; CLINICAL ASSESSMENT; CLINICIAN; COHORT ANALYSIS; CONTROLLED STUDY; DECISION MAKING; FEMALE; GROUPS BY AGE; HUMAN; MAJOR CLINICAL STUDY; MALE; MEDICARE; MORTALITY RATE; MORTALITY RISK; NURSING HOME; PROGNOSIS; RISK ASSESSMENT; SAMPLE SIZE; STATISTICS; UNITED STATES; VALIDATION PROCESS; AGED; CAUSE OF DEATH; EPIDEMIOLOGY; FOLLOW UP; PROCEDURES; RETROSPECTIVE STUDY; SURVIVAL RATE; TIME FACTOR; VALIDATION STUDY; VERY ELDERLY;

EID: 85060061890     PISSN: 10795006     EISSN: 1758535X     Source Type: Journal    
DOI: 10.1093/gerona/gly044     Document Type: Article
Times cited : (27)

References (44)
  • 1
    • 34250002843 scopus 로고    scopus 로고
    • Nursing home use by dual-eligible beneficiaries in the last year of life
    • Liu K, Wissoker D, Swett A. Nursing home use by dual-eligible beneficiaries in the last year of life. Inquiry. 2007;44:88-103. doi:10.5034/ inquiryjrnl-44.1.88
    • (2007) Inquiry , vol.44 , pp. 88-103
    • Liu, K.1    Wissoker, D.2    Swett, A.3
  • 2
    • 0348047527 scopus 로고    scopus 로고
    • Family perspectives on end-of-life care at the last place of care
    • Teno JM, Clarridge BR, Casey V, et al. Family perspectives on end-of-life care at the last place of care. JAMA. 2004;291:88-93. doi:10.1001/jama.291.1.88
    • (2004) JAMA , vol.291 , pp. 88-93
    • Teno, J.M.1    Clarridge, B.R.2    Casey, V.3
  • 3
    • 0032479034 scopus 로고    scopus 로고
    • Relationship between cancer patients' predictions of prognosis and their treatment preferences
    • Weeks JC, Cook EF, O'Day SJ, et al. Relationship between cancer patients' predictions of prognosis and their treatment preferences. JAMA. 1998;279:1709-1714. doi:10.1001/jama.279.21.1709
    • (1998) JAMA , vol.279 , pp. 1709-1714
    • Weeks, J.C.1    Cook, E.F.2    O'Day, S.J.3
  • 4
    • 0028014594 scopus 로고
    • The influence of the probability of survival on patients' preferences regarding cardiopulmonary resuscitation
    • Murphy DJ, Burrows D, Santilli S, et al. The influence of the probability of survival on patients' preferences regarding cardiopulmonary resuscitation. N Engl J Med. 1994;330:545-549. doi:10.1056/ NEJM199402243300807
    • (1994) N Engl J Med , vol.330 , pp. 545-549
    • Murphy, D.J.1    Burrows, D.2    Santilli, S.3
  • 5
    • 33845257322 scopus 로고    scopus 로고
    • Prediction of risk of death and myocardial infarction in the six months after presentation with acute coronary syndrome: Prospective multinational observational study (GRACE)
    • Fox KA, Dabbous OH, Goldberg RJ, et al. Prediction of risk of death and myocardial infarction in the six months after presentation with acute coronary syndrome: Prospective multinational observational study (GRACE). BMJ. 2006;333:1091. doi:10.1136/bmj.38985.646481.55
    • (2006) BMJ , vol.333 , pp. 1091
    • Fox, K.A.1    Dabbous, O.H.2    Goldberg, R.J.3
  • 6
    • 0034675059 scopus 로고    scopus 로고
    • The TIMI risk score for unstable angina/non-ST elevation MI: A method for prognostication and therapeutic decision making
    • Antman EM, Cohen M, Bernink PJ, et al. The TIMI risk score for unstable angina/non-ST elevation MI: A method for prognostication and therapeutic decision making. JAMA. 2000;284:835-842.
    • (2000) JAMA , vol.284 , pp. 835-842
    • Antman, E.M.1    Cohen, M.2    Bernink, P.J.3
  • 9
    • 84881373945 scopus 로고    scopus 로고
    • The surgical Apgar score is strongly associated with intensive care unit admission after high-risk intraabdominal surgery
    • Sobol JB, Gershengorn HB, Wunsch H, Li G. The surgical Apgar score is strongly associated with intensive care unit admission after high-risk intraabdominal surgery. Anesth Analg. 2013;117:438-446. doi:10.1213/ ANE.0b013e31829180b7
    • (2013) Anesth Analg , vol.117 , pp. 438-446
    • Sobol, J.B.1    Gershengorn, H.B.2    Wunsch, H.3    Li, G.4
  • 10
    • 85027936848 scopus 로고    scopus 로고
    • Expansion of the surgical Apgar score across all surgical subspecialties as a means to predict postoperative mortality
    • Reynolds PQ, Sanders NW, Schildcrout JS, Mercaldo ND, St Jacques PJ. Expansion of the surgical Apgar score across all surgical subspecialties as a means to predict postoperative mortality. Anesthesiology. 2011;114:1305-1312. doi:10.1097/ALN.0b013e318219d734.
    • (2011) Anesthesiology , vol.114 , pp. 1305-1312
    • Reynolds, P.Q.1    Sanders, N.W.2    Schildcrout, J.S.3    Mercaldo, N.D.4    St Jacques, P.J.5
  • 11
    • 84873409832 scopus 로고    scopus 로고
    • An internationally generalizable risk index for mortality after one year of antiretroviral therapy
    • Tate JP, Justice AC, Hughes MD, et al. An internationally generalizable risk index for mortality after one year of antiretroviral therapy. AIDS. 2013;27:563-572. doi:10.1097/QAD.0b013e32835b8c7f
    • (2013) AIDS , vol.27 , pp. 563-572
    • Tate, J.P.1    Justice, A.C.2    Hughes, M.D.3
  • 12
    • 84872860181 scopus 로고    scopus 로고
    • Predictive accuracy of the Veterans Aging Cohort Study index for mortality with HIV infection: A North American cross cohort analysis
    • NA-ACCORD and VACS Project Teams
    • Justice AC, Modur SP, Tate JP, et al.; NA-ACCORD and VACS Project Teams. Predictive accuracy of the Veterans Aging Cohort Study index for mortality with HIV infection: A North American cross cohort analysis. J Acquir Immune Defic Syndr. 2013;62:149-163. doi:10.1097/ QAI.0b013e31827df36c
    • (2013) J Acquir Immune Defic Syndr , vol.62 , pp. 149-163
    • Justice, A.C.1    Modur, S.P.2    Tate, J.P.3
  • 13
    • 84860427159 scopus 로고    scopus 로고
    • Derivation and validation of a multivariate model to predict mortality from pulmonary embolism with cancer: The POMPE-C tool
    • Kline JA, Roy PM, Than MP, et al. Derivation and validation of a multivariate model to predict mortality from pulmonary embolism with cancer: The POMPE-C tool. Thromb Res. 2012;129:e194-e199. doi:10.1016/j. thromres.2012.03.015
    • (2012) Thromb Res , vol.129 , pp. e194-e199
    • Kline, J.A.1    Roy, P.M.2    Than, M.P.3
  • 14
    • 84904335836 scopus 로고    scopus 로고
    • Meta-analysis of the efficacy and safety of new oral anticoagulants in patients with cancer-associated acute venous thromboembolism
    • van der Hulle T, den Exter PL, Kooiman J, van der Hoeven JJ, Huisman MV, Klok FA. Meta-analysis of the efficacy and safety of new oral anticoagulants in patients with cancer-associated acute venous thromboembolism. J Thromb Haemost. 2014;12:1116-1120. doi:10.1111/jth.12605
    • (2014) J Thromb Haemost , vol.12 , pp. 1116-1120
    • Van Der Hulle, T.1    Den Exter, P.L.2    Kooiman, J.3    Van Der Hoeven, J.J.4    Huisman, M.V.5    Klok, F.A.6
  • 15
    • 33750219137 scopus 로고    scopus 로고
    • Selecting patients for randomized trials: A systematic approach based on risk group
    • Vickers AJ, Kramer BS, Baker SG. Selecting patients for randomized trials: A systematic approach based on risk group. Trials. 2006;7:30. doi:10.1186/1745-6215-7-30
    • (2006) Trials , vol.7 , pp. 30
    • Vickers, A.J.1    Kramer, B.S.2    Baker, S.G.3
  • 16
    • 2942592425 scopus 로고    scopus 로고
    • Covariate adjustment in randomized controlled trials with dichotomous outcomes increases statistical power and reduces sample size requirements
    • Hernandez AV, Steyerberg EW, Habbema JD. Covariate adjustment in randomized controlled trials with dichotomous outcomes increases statistical power and reduces sample size requirements. J Clin Epidemiol. 2004;57:454-460. doi:10.1016/j.jclinepi.2003.09.014
    • (2004) J Clin Epidemiol , vol.57 , pp. 454-460
    • Hernandez, A.V.1    Steyerberg, E.W.2    Habbema, J.D.3
  • 17
    • 28944433350 scopus 로고    scopus 로고
    • Randomized controlled trials with time-to-event outcomes: How much does prespecified covariate adjustment increase power?
    • Hernandez AV, Eijkemans MJ, Steyerberg EW. Randomized controlled trials with time-to-event outcomes: How much does prespecified covariate adjustment increase power? Ann Epidemiol. 2006;16:41-48. doi:10.1016/j.annepidem.2005.09.007
    • (2006) Ann Epidemiol , vol.16 , pp. 41-48
    • Hernandez, A.V.1    Eijkemans, M.J.2    Steyerberg, E.W.3
  • 20
    • 85049136428 scopus 로고    scopus 로고
    • Centers for Medicare & Medicaid Services
    • Centers for Medicare & Medicaid Services. MDS 3.0 RAI Manual. 2017.
    • (2017) MDS 3.0 RAI Manual
  • 21
    • 2642545027 scopus 로고    scopus 로고
    • Estimating prognosis for nursing home residents with advanced dementia
    • Mitchell SL, Kiely DK, Hamel MB, Park PS, Morris JN, Fries BE. Estimating prognosis for nursing home residents with advanced dementia. JAMA. 2004;291:2734-2740. doi:10.1001/jama.291.22.2734
    • (2004) JAMA , vol.291 , pp. 2734-2740
    • Mitchell, S.L.1    Kiely, D.K.2    Hamel, M.B.3    Park, P.S.4    Morris, J.N.5    Fries, B.E.6
  • 22
    • 78349273598 scopus 로고    scopus 로고
    • The advanced dementia prognostic tool: A risk score to estimate survival in nursing home residents with advanced dementia
    • Mitchell SL, Miller SC, Teno JM, Davis RB, Shaffer ML. The advanced dementia prognostic tool: A risk score to estimate survival in nursing home residents with advanced dementia. J Pain Symptom Manage. 2010;40:639-651. doi:10.1016/j.jpainsymman.2010.02.014
    • (2010) J Pain Symptom Manage , vol.40 , pp. 639-651
    • Mitchell, S.L.1    Miller, S.C.2    Teno, J.M.3    Davis, R.B.4    Shaffer, M.L.5
  • 23
    • 0033122252 scopus 로고    scopus 로고
    • The minimum data set 2.0: A functional assessment to predict mortality in nursing home residents
    • Abicht-Swensen LM, Debner LK. The minimum data set 2.0: A functional assessment to predict mortality in nursing home residents. Am J Hosp Palliat Care. 1999;16:527-532. doi:10.1177/104990919901600308
    • (1999) Am J Hosp Palliat Care , vol.16 , pp. 527-532
    • Abicht-Swensen, L.M.1    Debner, L.K.2
  • 24
    • 0037318834 scopus 로고    scopus 로고
    • Mortality-related factors and 1-year survival in nursing home residents
    • Flacker JM, Kiely DK. Mortality-related factors and 1-year survival in nursing home residents. J Am Geriatr Soc. 2003;51:213-221. doi:10.1046/j.1532-5415.2003.51060.x
    • (2003) J Am Geriatr Soc , vol.51 , pp. 213-221
    • Flacker, J.M.1    Kiely, D.K.2
  • 25
    • 19044364143 scopus 로고    scopus 로고
    • Predicting death in the nursing home: Development and validation of the 6-month Minimum Data Set mortality risk index
    • Porock D, Oliver DP, Zweig S, et al. Predicting death in the nursing home: Development and validation of the 6-month Minimum Data Set mortality risk index. J Gerontol A Biol Sci Med Sci. 2005;60:491-498. doi:10.1093/ gerona/60.4.491
    • (2005) J Gerontol A Biol Sci Med Sci , vol.60 , pp. 491-498
    • Porock, D.1    Oliver, D.P.2    Zweig, S.3
  • 26
    • 85032970917 scopus 로고    scopus 로고
    • Death in long-term care: A brief report examining factors associated with death within 31 days of assessment
    • Brink P, Kelley ML. Death in long-term care: A brief report examining factors associated with death within 31 days of assessment. Palliat Care. 2015;9:1-5. doi:10.4137/PCRT.S20347
    • (2015) Palliat Care , vol.9 , pp. 1-5
    • Brink, P.1    Kelley, M.L.2
  • 27
    • 18944368335 scopus 로고    scopus 로고
    • Comorbidity and 1-year mortality risks in nursing home residents
    • van Dijk PT, Mehr DR, Ooms ME, et al. Comorbidity and 1-year mortality risks in nursing home residents. J Am Geriatr Soc. 2005;53:660-665. doi:10.1111/j.1532-5415.2005.53216.x
    • (2005) J Am Geriatr Soc , vol.53 , pp. 660-665
    • Van Dijk, P.T.1    Mehr, D.R.2    Ooms, M.E.3
  • 28
    • 84921880177 scopus 로고    scopus 로고
    • Predictors of six-month mortality among nursing home residents: Diagnoses may be more predictive than functional disability
    • Levy C, Kheirbek R, Alemi F, et al. Predictors of six-month mortality among nursing home residents: Diagnoses may be more predictive than functional disability. J Palliat Med. 2015;18:100-106. doi:10.1089/ jpm.2014.0130
    • (2015) J Palliat Med , vol.18 , pp. 100-106
    • Levy, C.1    Kheirbek, R.2    Alemi, F.3
  • 29
    • 77955394979 scopus 로고    scopus 로고
    • The MDS mortality risk index: The evolution of a method for predicting 6-month mortality in nursing home residents
    • Porock D, Parker-Oliver D, Petroski GF, Rantz M. The MDS mortality risk index: The evolution of a method for predicting 6-month mortality in nursing home residents. BMC Res Notes. 2010;3:200. doi:10.1186/1756-0500-3-200
    • (2010) BMC Res Notes , vol.3 , pp. 200
    • Porock, D.1    Parker-Oliver, D.2    Petroski, G.F.3    Rantz, M.4
  • 30
    • 0037241774 scopus 로고    scopus 로고
    • The MDS-CHESS scale: A new measure to predict mortality in institutionalized older people
    • 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. doi:10.1034/j.1601-5215.2002.51017.x
    • (2003) J Am Geriatr Soc , vol.51 , pp. 96-100
    • Hirdes, J.P.1    Frijters, D.H.2    Teare, G.F.3
  • 31
    • 84865553585 scopus 로고    scopus 로고
    • Making the investment count: Revision of the Minimum Data Set for nursing homes, MDS 3.0
    • Saliba D, Buchanan J. Making the investment count: Revision of the Minimum Data Set for nursing homes, MDS 3.0. J Am Med Dir Assoc. 2012;13(7):602-610. doi:10.1016/j.jamda.2012.06.002
    • (2012) J Am Med Dir Assoc , vol.13 , Issue.7 , pp. 602-610
    • Saliba, D.1    Buchanan, J.2
  • 32
    • 84865564505 scopus 로고    scopus 로고
    • MDS 3.0: Brief interview for mental status
    • Saliba D, Buchanan J, Edelen MO, et al. MDS 3.0: Brief interview for mental status. J Am Med Dir Assoc. 2012;13(7):611-617. doi:10.1016/j. jamda.2012.06.004
    • (2012) J Am Med Dir Assoc , vol.13 , Issue.7 , pp. 611-617
    • Saliba, D.1    Buchanan, J.2    Edelen, M.O.3
  • 33
  • 34
    • 84865532262 scopus 로고    scopus 로고
    • Overview of significant changes in the Minimum Data Set for nursing homes version 3.0
    • Saliba D, Jones M, Streim J, Ouslander J, Berlowitz D, Buchanan J. Overview of significant changes in the Minimum Data Set for nursing homes version 3.0. J Am Med Dir Assoc. 2012;13:595-601. doi:10.1016/j. jamda.2012.06.001
    • (2012) J Am Med Dir Assoc , vol.13 , pp. 595-601
    • Saliba, D.1    Jones, M.2    Streim, J.3    Ouslander, J.4    Berlowitz, D.5    Buchanan, J.6
  • 35
    • 85017175828 scopus 로고    scopus 로고
    • Delirium during postacute nursing home admission and risk for adverse outcomes
    • Kosar CM, Thomas KS, Inouye SK, Mor V. Delirium during postacute nursing home admission and risk for adverse outcomes. J Am Geriatr Soc. 2017;65:1470-1475. doi:10.1111/jgs.14823
    • (2017) J Am Geriatr Soc , vol.65 , pp. 1470-1475
    • Kosar, C.M.1    Thomas, K.S.2    Inouye, S.K.3    Mor, V.4
  • 36
    • 84908244412 scopus 로고    scopus 로고
    • Sensitivity and specificity of the Minimum Data Set 3.0 discharge data relative to Medicare claims
    • Rahman M, Tyler D, Acquah JK, Lima J, Mor V. Sensitivity and specificity of the Minimum Data Set 3.0 discharge data relative to Medicare claims. J Am Med Dir Assoc. 2014;15:819-824. doi:10.1016/j.jamda.2014.06.017
    • (2014) J Am Med Dir Assoc , vol.15 , pp. 819-824
    • Rahman, M.1    Tyler, D.2    Acquah, J.K.3    Lima, J.4    Mor, V.5
  • 37
    • 85028652972 scopus 로고    scopus 로고
    • The Minimum Data Set 3.0 cognitive function scale
    • Thomas KS, Dosa D, Wysocki A, Mor V. The Minimum Data Set 3.0 cognitive function scale. Med Care. 2017;55(9):e68-e72. doi:10.1097/ MLR.0000000000000334
    • (2017) Med Care , vol.55 , Issue.9 , pp. e68-e72
    • Thomas, K.S.1    Dosa, D.2    Wysocki, A.3    Mor, V.4
  • 38
    • 84908295487 scopus 로고    scopus 로고
    • Finding gertrude: The resident's voice in Minimum Data Set 3.0
    • Thomas KS, Wysocki A, Intrator O, Mor V. Finding gertrude: The resident's voice in Minimum Data Set 3.0. J Am Med Dir Assoc. 2014;15(11):802-806. doi:10.1016/j.jamda.2014.01.012
    • (2014) J Am Med Dir Assoc , vol.15 , Issue.11 , pp. 802-806
    • Thomas, K.S.1    Wysocki, A.2    Intrator, O.3    Mor, V.4
  • 39
    • 84929957481 scopus 로고    scopus 로고
    • Functional improvement among shortstay nursing home residents in the MDS 3.0
    • Wysocki A, Thomas KS, Mor V. Functional improvement among shortstay nursing home residents in the MDS 3.0. J Am Med Dir Assoc. 2015;16:470-474. doi:10.1016/j.jamda.2014.11.018
    • (2015) J Am Med Dir Assoc , vol.16 , pp. 470-474
    • Wysocki, A.1    Thomas, K.S.2    Mor, V.3
  • 40
    • 49849105414 scopus 로고    scopus 로고
    • Youden index and optimal cut-point estimated from observations affected by a lower limit of detection
    • Ruopp MD, Perkins NJ, Whitcomb BW, Schisterman EF. Youden index and optimal cut-point estimated from observations affected by a lower limit of detection. Biom J. 2008;50:419-430. doi:10.1002/ bimj.200710415
    • (2008) Biom J , vol.50 , pp. 419-430
    • Ruopp, M.D.1    Perkins, N.J.2    Whitcomb, B.W.3    Schisterman, E.F.4
  • 41
    • 84992364291 scopus 로고    scopus 로고
    • Algorithm for identifying nursing home days using medicare claims and minimum data set assessment data
    • Wei YJ, Simoni-Wastila L, Zuckerman IH, Brandt N, Lucas JA. Algorithm for identifying nursing home days using medicare claims and minimum data set assessment data. Med Care. 2016;54:e73-e77. doi:10.1097/ MLR.0000000000000109
    • (2016) Med Care , vol.54 , pp. e73-e77
    • Wei, Y.J.1    Simoni-Wastila, L.2    Zuckerman, I.H.3    Brandt, N.4    Lucas, J.A.5
  • 42
    • 85021659006 scopus 로고    scopus 로고
    • Operationalizing a frailty index using routine blood and urine tests
    • Ritt M, Jager J, Ritt JI, Sieber CC, Gasmann KG. Operationalizing a frailty index using routine blood and urine tests. Clin Interv Aging. 2017;12:1029-1040. doi:10.2147/CIA.S131987
    • (2017) Clin Interv Aging , vol.12 , pp. 1029-1040
    • Ritt, M.1    Jager, J.2    Ritt, J.I.3    Sieber, C.C.4    Gasmann, K.G.5
  • 43
    • 0036558622 scopus 로고    scopus 로고
    • Some mathematical models of frailty and their clinical implications
    • Rockwood K, Mitnitski AB, MacKnight C. Some mathematical models of frailty and their clinical implications. Rev Clin Gerontol. 2002;12:109-117. doi:10.1017/S0959259802012236
    • (2002) Rev Clin Gerontol , vol.12 , pp. 109-117
    • Rockwood, K.1    Mitnitski, A.B.2    MacKnight, C.3
  • 44
    • 24044485648 scopus 로고    scopus 로고
    • A global clinical measure of fitness and frailty in elderly people
    • Rockwood K, Song X, MacKnight C, et al. A global clinical measure of fitness and frailty in elderly people. CMAJ. 2005;173:489-495. doi:10.1503/ cmaj.050051
    • (2005) CMAJ , vol.173 , pp. 489-495
    • Rockwood, K.1    Song, X.2    MacKnight, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.