期刊论文详细信息
BMC Geriatrics
Effects of impairment in activities of daily living on predicting mortality following hip fracture surgery in studies using administrative healthcare databases
Paula A Rochon1  Chaim M Bell2  Sudeep S Gill5  Andrea Gruneir1  Peter C Austin3  Geoffrey M Anderson3  Dallas P Seitz4 
[1] Women’s College Research Institute, Women’s College Hospital, Toronto, Ontario, Canada;Department of Medicine, Mt. Sinai Hospital, Toronto, Ontario, Canada;Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada;Department of Psychiatry, Queen’s University, Kingston, Ontario, Canada;Institute for Clinical Evaluative Sciences, Queen’s University, Kingston, Ontario, Canada
关键词: Risk adjustment;    Confounding;    Activities of daily living;    Outcomes;    Mortality;    Predictive models;    Hip fracture;   
Others  :  855480
DOI  :  10.1186/1471-2318-14-9
 received in 2013-06-24, accepted in 2014-01-13,  发布年份 2014
PDF
【 摘 要 】

Background

Impairment in activities of daily living (ADL) is an important predictor of outcomes although many administrative databases lack information on ADL function. We evaluated the impact of ADL function on predicting postoperative mortality among older adults with hip fractures in Ontario, Canada.

Methods

Sociodemographic and medical correlates of ADL impairment were first identified in a population of older adults with hip fractures who had ADL information available prior to hip fracture. A logistic regression model was developed to predict 360-day postoperative mortality and the predictive ability of this model were compared when ADL impairment was included or omitted from the model.

Results

The study sample (N = 1,329) had a mean age of 85.2 years, were 72.8% female and the majority resided in long-term care (78.5%). Overall, 36.4% of individuals died within 360 days of surgery. After controlling for age, sex, medical comorbidity and medical conditions correlated with ADL impairment, addition of ADL measures improved the logistic regression model for predicting 360 day mortality (AIC = 1706.9 vs. 1695.0; c -statistic = 0.65 vs 0.67; difference in - 2 log likelihood ratios: χ2 = 16.9, p = 0.002).

Conclusions

Direct measures of ADL impairment provides additional prognostic information on mortality for older adults with hip fractures even after controlling for medical comorbidity. Observational studies using administrative databases without measures of ADLs may be potentially prone to confounding and bias and case-mix adjustment for hip fracture outcomes should include ADL measures where these are available.

【 授权许可】

   
2014 Seitz et al.; licensee BioMed Central Ltd.

【 预 览 】
附件列表
Files Size Format View
20140722034158316.pdf 241KB PDF download
【 参考文献 】
  • [1]Naglie G, Gill SS: Review of risk factors associated with dependency in basic and instrumental activities of daily living. Can J Geriatr 2009, 12:160-176.
  • [2]Schoeni RF, Freedman VA, Wallace RB: Persistent, consistent, widespread, and robust? Another look at recent trends in old-age disability. J Gerontol B Psychol Sci Soc Sci 2001, 56(4):S206-S218.
  • [3]Crimmins EM, Saito Y, Reynolds SL: Further evidence on recent trends in the prevalence and incidence of disability among older Americans from two sources: the LSOA and the NHIS. J Gerontol B Psychol Sci Soc Sci 1997, 52(2):S59-S71.
  • [4]Wilkins K, Park E: Home care in Canada. Health Rep 1998, 10:29-37.
  • [5]Manton KG, Corder L, Stallard E: Chronic disability trends in elderly United States populations: 1982–1994. Proc Natl Acad Sci USA 1997, 94(6):2593-2598.
  • [6]Manton KG, Gu X: Changes in the prevalence of chronic disability in the United States black and non-black population above age 65 from 1982 to 1999. Proc Natl Acad Sci USA 2001, 98:6354-6359.
  • [7]Narain P, Rubenstein LZ, Wieland GD, Rosbrook B, Strome LS, Pietruszka F, Morley JE: Predictors of immediate and 6-month outcomes in hospitalized elderly patients. The importance of functional status. J Am Geriatr Soc 1988, 36(9):775-783.
  • [8]Inouye SK, Peduzzi PN, Robison JT, Hughes JS, Horwitz RI, Concato J: Importance of functional measures in predicting mortality among older hospitalized patients. JAMA 1998, 279(15):1187-1193.
  • [9]Ponzetto M, Maero B, Maina P, Rosato R, Ciccone G, Merletti F, Rubenstein LZ, Fabris F, Ponzetto M, Maero B, et al.: Risk factors for early and late mortality in hospitalized older patients: the continuing importance of functional status. J Gerontol A Biol Sci Med Sci 2003, 58(11):1049-1054.
  • [10]Reuben DB, Rubenstein LV, Hirsch SH, Hays RD: Value of functional status as a predictor of mortality: results of a prospective study. Am J Med 1992, 93(6):663-669.
  • [11]Naeim A, Keeler EB, Reuben D: Perceived causes of disability added prognostic value beyond medical conditions and functional status. J Clin Epidemiol 2007, 60(1):79-85.
  • [12]Coughlin TA, McBride TD, Liu K: Determinants of transitory and permanent nursing home admissions. Med Care 1990, 29(7):616-631.
  • [13]Greene VL, Ondrich JI: Risk factors for nursing home admissions and exits: a discrete-time hazard function approach. J Gerontology 1990, 45(6):S250-S258.
  • [14]Banaszak-Holl J, Fendrick A, Foster NL, Herzog A, Kabeto MU, Kent DM, Straus WL, Langa KM: Predicting nursing home admission: estimates from a 7-year follow-up of a nationally representative sample of older Americans. Alzheimer Dis Assoc Disord 2004, 18(2):83-89.
  • [15]Ebly EM, Hogan DB, Rockwood K: Living alone with dementia. Dement Geriatr Cogn Dis 1999, 10(6):541-548.
  • [16]Jackson LA, Nelson JC, Benson P, Neuzil KM, Reid RJ, Psaty BM, Heckbert SR, Larson EB, Weiss NS: Functional status is a confounder of the association of influenza vaccine and risk of all cause mortality in seniors. Int J Epidemiol 2006, 35(2):345-352.
  • [17]Pressley JC, Patrick CH: Frailty bias in comorbidity risk adjustments of community-dwelling elderly populations. J Clin Epidemiol 1999, 52(8):753-760.
  • [18]Landi F, Bernabei R, Russo A, Zuccala G, Onder G, Carosella L, Cesari M, Cocchi A: Predictors of rehabilitation outcomes in frail patients treated in a geriatric hospital. J Am Geriatr Soc 2002, 50(4):679-684.
  • [19]Mayo NE, Nadeau L, Levesque L, Miller S, Poissant L, Tamblyn R, Mayo NE, Nadeau L, Levesque L, Miller S, et al.: Does the addition of functional status indicators to case-mix adjustment indices improve prediction of hospitalization, institutionalization, and death in the elderly? Med care 2005, 43(12):1194-1202.
  • [20]Deyo RA, Cherkin DC, Ciol MA: Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J Clin Epidemiol 1992, 45(6):613-619.
  • [21]Southern DA, Quan H, Ghali WA: Comparison of the Elixhauser and Charlson/Deyo methods of comorbidity measurement in administrative data. Med Care 2004, 42(4):355-360.
  • [22]Reid RJ, Roos NP, MacWilliams L, Frohlich N, Black C: Assessing population health care need using a claims-based ACG morbidity measure: a validation in the province of manitoba. Health Serv Res 2002, 37:1345-1364.
  • [23]Schneeweiss S, Seeger JD, Maclure M, Wang PS, Avorn J, Glynn RJ: Performance of comorbidity scores to control for confounding in epidemiologic studies using claims data. Am J Epidemiol 2001, 154(9):854-864.
  • [24]Afilalo J, Mottillo S, Eisenberg MJ, Alexander KP, Noiseux N, Perrault LP, Morin J-F, Langlois Y, Ohayon SM, Monette J, et al.: Addition of frailty and disability to cardiac surgery risk scores identifies elderly patients at high risk of mortality or major morbidity. Cardiovasc Qual Outcom 2012, 5(2):222-228.
  • [25]Tan WS, Ding YY, Chong WF, Tay JC, Tan JT-L: Impact of data source and time reference of functional status on hospital mortality prediction. BMC Health Serv Res 2012, 12:115. BioMed Central Full Text
  • [26]Stuck AE, Walthert JM, Nikolaus T, Bula CJ, Hohmann C, Beck JC: Risk factors for functional decline in community-living elderly people: a systematic literature review. Soc Sci Med 1999, 48:445-469.
  • [27]Boult C, Kane RL, Louis TA, Boult L, McCaffrey D: Chronic conditions that lead to functional limitation in the elderly. J Gerontol 1994, 49:M28-M36.
  • [28]McCusker J, Kakuma R, Abrahamowicz M: Predictors of functional decline in hospitalized elderly patients: a systematic review. J Gerontol 2002, 57A:M569-M577.
  • [29]Katz S: Assesing self-maintenance: activities of daily living, mobility and instrumental activities of daily living. J Am Geriatr Soc 1983, 31:721-727.
  • [30]Law M, Letts L: A critical review of scales of activities of daily living. Am J Occup Ther 1989, 43:522-528.
  • [31]Williams JI, O’Brien BJ, Sellors C, Grootendorst P, Willison D: A summary of studies on the quality of health care administrative databases in Canada. In Patterns of health care in Ontario The ICES practice atlas. Edited by Goel V, Williams JI, Anderson GM, Blacksterin-Hirsch P, Fooks C, Naylor CD. Ottawa,ON: Canadian Medical Association; 1996:339-345.
  • [32]Levy AR, O’Brien BJ, Sellors C, Grootendorst P, Willison D: Coding accuracy of administrative drug claims in the Ontario drug benefit database. Can J Clin Pharmacol 2003, 10(2):67-71.
  • [33]Charlson ME, Pompei P, Ales KL, MacKenzie CR: A new method of classifying comorbidity in longitudinal studies: development and validation. J Chron Dis 1987, 40:373-383.
  • [34]Charlson M, Szatrowski TP, Peterson J, Gold J: Validation of a combined comorbidity index. J Clin Epidemiol 1994, 47:1245-1251.
  • [35]Quan H, Sundararajan V, Halfon P, Fong A, Burnand B, Luthi JC, Saunders LD, Beck CA, Feasby TE, Ghali WA: Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data. Med Care 2005, 43(11):1130-1139.
  • [36]Starfield B, Weiner J, Murla P: Ambulatory care groups: a categorization of diagnoses for research and management. Health Serv Res 1991, 26:53-74.
  • [37]Baldwin L-M, Klabunde CN, Green P, Barlow W, Wright G: In search of the perfect comorbidity measure for Use with administrative claims data. Med Care 2006, 44:744-753.
  • [38]Seitz DP, Adunuri N, Gill SS, Rochon PA: Prevalence of dementia and cognitive impairment among older adults with hip fractures. J Am Med Dir Assoc 2011, 12(8):556-564.
  • [39]Hannan EL, Magaziner J, Wang JJ, Eastwood EA, Silberzweig SB, Gilbert M, Morrison RS, McLaughlin MA, Orosz GM, Siu AL: Mortality and locomotion 6 months after hospitalization for hip fracture: risk factors and risk-adjusted hospital outcomes. JAMA 2001, 285(21):2736-2742.
  • [40]Bellelli G, Mazzola P, Corsi M, Zambon A, Corrao G, Castoldi G, Zatti G, Annoni G: The combined effect of ADL impairment and delay in time from fracture to surgery on 12-month mortality: an observational study in orthogeriatric patients. J Am Med Dir Assoc 2012, 13(7):664. e9-664 doi:10.1016/jamda.2012.06.007
  • [41]Rapp K, Becker C, Cameron ID, Klenk J, Kleiner A, Bleibler F, König H-H, Büchele G: Femoral fracture rates in people with and without disability. Age Ageing 2012, 41(5):653-658.
  • [42]Landi F, Tua E, Onder G, Carrara B, Sgadari A, Rinaldi C, Gambassi G, Lattanzio F, Bernabei R: Minimum data Set for home care: a valid instrument to assess frail older people living in the community. Med Care 2000, 38(12):1184-1190.
  • [43]Canadian Institute of Health Information: Minimum dataset (2.0) Canadian version 2002: Canadian Institutes of Health Information. Ontario, Canada: Ottawa; 2010.
  • [44]Morris JN, Fries BE, Morris SA: Scaling ADLs within the MDS. J Gerontol A Biol Sci Med Sci 1999, 54(11):M546-M553.
  • [45]Hirdes JP, Ljunggren G, Morris JN, Frijters DH, Soveri HF, Gray L, Björkgren M, Gilgen R: Reliability of the interRAI suite of assessment instruments: a 12-country study of an integrated health information system. BMC Health Serv Res 2008, 8(1):277. BioMed Central Full Text
  • [46]Gruneir A, Forrester J, Camacho X, Gill S, Bronskill S: Gender differences in home care clients and admission to long-term care in Ontario, Canada: a population-based retrospective cohort study. BMC Geriatr 2012, 13:48.
  • [47]Daneman N, Gruneir A, Newman A, Fischer HD, Bronskill SE, Rochon PA, Anderson GM, Bell CM: Antibiotic use in long-term care facilities. J Antimicrob Chemothe 2011, 66(12):2856-2863.
  • [48]Jiang H, Majumdar S, Dick D, Moreau M, Raso J, Otto D, Johnston D: Development and initial validation of a risk score for predicting in-hospital and 1-year mortality in patients with hip fractures. J Bone Miner Res 2005, 20(3):494.
  • [49]Iron K: Living and dying in Ontario: an opportunity for improved health information: institute for clinical evaluative sciences. 2008.
  • [50]Peduzzi P, Concato J, Kemper E, Holford T, Feinstein A: A simulation study of the number of events per variable in logistic regression analysis. J Clin Epidemiol 1996, 49(12):1373.
  • [51]Miller EA, Weissert WG: Predicting elderly People’s risk for nursing home placement, hospitalization, functional impairment, and mortality: a synthesis. Med Care Res Rev 2000, 57:259-297.
  • [52]Understanding your options http://healthcareathome.ca/#Long-Term webcite Care Homes.
  • [53]Njegovan V, Hing MM, Mitchell SL, Molnar FJ: The hierarchy of functional loss associated with cognitive decline in older persons. J Gerontol A Biol Sci Med Sci 2001, 56(10):M638-M643.
  • [54]Reddy M, Gill SS, Rochon PA: Preventing pressure ulcers: a systematic review. JAMA 2006, 296(8):974-984.
  • [55]Brandeis GH, Ooi WL, Hossain M, Morris JN, Lipsitz LA: A longitudinal study of risk factors associated with the formation of pressure ulcers in nursing homes. J Am Geriatr Soc 1994, 42(4):388-393.
  • [56]Elixhauser A, Steiner C, Harris DR, Coffey RM: Comorbidity measures for use with administrative data. Med Care 1998, 36(1):8-27.
  • [57]Humphries KH, Rankin JM, Carere RG, Buller CE, Kiely FM, Spinelli JJ: Co-morbidity data in outcomes research: are clinical data derived from administrative databases a reliable alternative to chart review? J Clin Epidemiol 2000, 53(4):343-349.
  文献评价指标  
  下载次数:9次 浏览次数:10次