Patients with Hip Fracture: Subgroups and Their Outcomes
Elizabeth A. Eastwood PhD
Bronx Department of Veterans Affairs Geriatric Research, Education and Clinical Center, Department of Geriatrics, Mount Sinai School of Medicine, New York, New York;
Search for more papers by this authorJay Magaziner PhD, MSHyg
Department of Epidemiology, University of Maryland, Baltimore, Maryland;
Search for more papers by this authorStacey B. Silberzweig MS, RD
Bronx Department of Veterans Affairs Geriatric Research, Education and Clinical Center, Department of Geriatrics, Mount Sinai School of Medicine, New York, New York;
Search for more papers by this authorEdward L. Hannan PhD
Department of Health Policy, Management, and Behavior, University at Albany School of Public Health, Albany, New York.
Search for more papers by this authorAlbert L. Siu MD, MSPH
Medicine, Mount Sinai School of Medicine, New York, New York; and
Search for more papers by this authorElizabeth A. Eastwood PhD
Bronx Department of Veterans Affairs Geriatric Research, Education and Clinical Center, Department of Geriatrics, Mount Sinai School of Medicine, New York, New York;
Search for more papers by this authorJay Magaziner PhD, MSHyg
Department of Epidemiology, University of Maryland, Baltimore, Maryland;
Search for more papers by this authorStacey B. Silberzweig MS, RD
Bronx Department of Veterans Affairs Geriatric Research, Education and Clinical Center, Department of Geriatrics, Mount Sinai School of Medicine, New York, New York;
Search for more papers by this authorEdward L. Hannan PhD
Department of Health Policy, Management, and Behavior, University at Albany School of Public Health, Albany, New York.
Search for more papers by this authorAlbert L. Siu MD, MSPH
Medicine, Mount Sinai School of Medicine, New York, New York; and
Search for more papers by this authorAbstract
OBJECTIVES: To present several alternative approaches to describing the range and functional outcomes of patients with hip fracture.
DESIGN: Prospective study with concurrent medical records data collection and patient and proxy interviews at the time of hospitalization and 6 months later.
SETTING: Four hospitals in the New York metropolitan area.
PARTICIPANTS: Five hundred seventy-one hospitalized adults aged 50 and older with hip fracture between July 1997 and August 1998.
MEASUREMENTS: Rates of return to function in four physical domains, mortality, and nursing home residence at 6 months. Cluster analysis was used to describe the heterogeneity among the sample and identify variations in 6-month mortality, nursing home residence, and level of functioning and to develop a patient classification tree with associated patient outcomes at 6 months postfracture.
RESULTS: In locomotion, transfers, and self-care, 33% to 37% of patients returned to their prior level of function by 6 months, including those needing assistance, but only 24% were independent in locomotion at 6 months. Cluster analysis identified eight patient subgroups that had distinct baseline features and variable outcomes at 6 months. The patient classification tree used four variables: atypical functional status (independent in locomotion but dependent in other domains); nursing home residence; independence/dependence in self-care; and age younger than 85 or 85 and older that identified five subgroups with variable 6-month outcomes that clinicians may use to predict likely outcomes for their patients.
CONCLUSION: Patients with hip fracture are heterogeneous with respect to baseline and outcome characteristics. Clinicians may be better able to give patients and caregivers information on expected outcomes based on presenting characteristics used in the classification tree.
REFERENCES
- 1 Agency for Health Care Policy and Research DoHaHS. Inpatient Hospital Statistics, 1996 (Publication no. 99–0034). Rockville, MD: Agency for Health Care Policy and Research, 1999.
- 2 Barrett-Connor E. The economic and human costs of osteoporotic fracture. Am J Med 1995; 98: 3S–8S.
- 3 Brainsky A, Glick H, Lydick E et al. The economic cost of hip fractures in community-dwelling older adults: A prospective study. J Am Geriatr Soc 1997; 45: 281–287.
- 4 Cauley JA, Thompson DE, Ensrud KC et al. Risk of mortality following clinical fractures. Osteoporos Int 2000; 11: 556–561.
- 5 Magaziner J, Lydick E, Hawkes W et al. Excess mortality attributable to hip fracture in white women aged 70 years and older. Am J Public Health 1997; 87: 1630–1636.
- 6 Marottoli RA, Berkman LF, Leo-Summers L et al. Predictors of mortality and institutionalization after hip fracture: The New Haven EPESE cohort. Established Populations for Epidemiologic Studies of the Elderly. Am J Public Health 1994; 84: 1807–1812.
- 7 Nettleman MD, Alsip J, Schrader M et al. Predictors of mortality after acute hip fracture. J Gen Intern Med 1996; 11: 765–767.
- 8 Kenzora JE, Magaziner J, Hudson J et al. Outcome after hemiarthroplasty for femoral neck fractures in the elderly. Clin Orthop 1998;51–58.
- 9 Kenzora JE, McCarthy RE, Lowell JD. Hip fracture mortality: Relation to age, treatment, preoperative illness, time of surgery, and complications. Clin Orthop 1984; 186: 45–46.
- 10 Lyons AR. Clinical outcomes and treatment of hip fractures. Am J Med 1997; 103: 51S–63S; discussion 63S–64S.
- 11 Dennison E, Cooper C. Epidemiology of osteoporotic fractures. Horm Res 2000; 54: 58–63.
- 12 Johnson MF, Kramer AM, Lin MK et al. Outcomes of older persons receiving rehabilitation for medical and surgical conditions compared with hip fracture and stroke. J Am Geriatr Soc 2000; 48: 1389–1397.
- 13 Diehr P, Williamson J, Patrick DL et al. Patterns of self-rated health in older adults before and after sentinel health events. J Am Geriatr Soc 2001; 49: 36–44.
- 14 Magaziner J, Simonsick EM, Kashner TM et al. Predictors of functional recovery one year following hospital discharge for hip fracture: A prospective study. J Gerontol 1990; 45: M101–M107.
- 15 Koval KJ, Skovron ML, Polatsch D et al. Dependency after hip fracture in geriatric patients: A study of predictive factors. J Orthop Trauma 1996; 10: 531–535.
- 16 Koval KJ, Skovron ML, Aharonoff GB et al. Predictors of functional recovery after hip fracture in the elderly. Clin Orthop 1998;22–28.
- 17 Cohen RA. Trends in the health of older Americans: United States, 1994. National Center for Health Statistics. Vital Health Stat 1995;3.
- 18 Magaziner J, Hawkes W, Hebel JR et al. Recovery from hip fracture in eight areas of function. J Gerontol A Biol Sci Med Sci 2000; 55A: M498–M507.
- 19 Shah MR, Aharonoff GB, Wolinsky P et al. Outcome after hip fracture in individuals ninety years of age and older. J Orthop Trauma 2001; 15: 34–39.
- 20 Inouye SK, Van Dyck CH, Alessi CA et al. Clarifying confusion: The confusion assessment method. A new method for detection of delirium. Ann Intern Med 1990; 113: 941–948.
- 21 Inouye SK, Charpentier PA. Precipitating factors for delirium in hospitalized elderly persons. Predictive model and interrelationship with baseline vulnerability. JAMA 1996; 275: 852–857.
- 22 Keeler EB, Kahn KL, Draper D et al. Changes in sickness at admission following the introduction of the prospective payment system. JAMA 1990; 264: 1962–1968.
- 23 Pitto RP. The mortality and social prognosis of hip fractures. A prospective multifactorial study. Int Orthop 1994; 18: 109–113.
- 24 Knaus WA, Draper EA, Wagner DP et al. APACHE II: A severity of disease classification system. Crit Care Med 1985; 13: 818–829.
- 25 Covinsky KE, Palmer RM, Counsell SR et al. Functional status before hospitalization in acutely ill older adults: Validity and clinical importance of retrospective reports. J Am Geriatr Soc 2000; 48: 164–169.
- 26 Keller SD, Bayliss MS, Ware JE Jr et al. Comparison of responses to SF-36 Health Survey questions with one-week and four-week recall periods. Health Serv Res 1997; 32: 367–384.
- 27 Magaziner J, Hebel JR, Warren JW. The use of proxy responses for aged patients in long-term care settings. Compr Gerontol [B] 1987; 1: 118–121.
- 28 Magaziner J, Bassett SS, Hebel JR et al. Use of proxies to measure health and functional status in epidemiologic studies of community-dwelling women aged 65 years and older. Am J Epidemiol 1996; 143: 283–292.
- 29 Magaziner J, Zimmerman SI, Gruber-Baldini AL et al. Proxy reporting in five areas of functional status. Comparison with self-reports and observations of performance. Am J Epidemiol 1997; 146: 418–428.
- 30 Stineman MG, Shea JA, Jette A et al. The Functional Independence Measure: Tests of scaling assumptions, structure, and reliability across 20 diverse impairment categories. Arch Phys Med Rehabil 1996; 77: 1101–1108.
- 31 Dodds TA, Martin DP, Stolov WC et al. A validation of the functional independence measurement and its performance among rehabilitation inpatients. Arch Phys Med Rehabil 1993; 74: 531–536.
- 32 Ottenbacher KJ, Hsu Y, Granger CV et al. The reliability of the functional independence measure: A quantitative review. Arch Phys Med Rehabil 1996; 77: 1226–1232.
- 33 Hamilton BB, Laughlin JA, Fiedler RC et al. Interrater reliability of the 7-level functional independence measure (FIM). Scand J Rehabil Med 1994; 26: 115–119.
- 34 Disler PB, Roy CW, Smith BP. Predicting hours of care needed. Arch Phys Med Rehabil 1993; 74: 139–143.
- 35 Whitlock JA Jr, Hamilton BB. Functional outcome after rehabilitation for severe traumatic brain injury. Arch Phys Med Rehabil 1995; 76: 1103–1112.
- 36 Grey N, Kennedy P. The Functional Independence Measure: A comparative study of clinician and self ratings. Paraplegia 1993; 31: 457–461.
- 37 Segal ME, Gillard M, Schall R. Telephone and in-person proxy agreement between stroke patients and caregivers for the functional independence measure. Am J Phys Med Rehabil 1996; 75: 208–212.
- 38 Dubey A, Koval KJ, Zuckerman JD. Hip fracture epidemiology: A review. Am J Orthop 1999; 28: 497–506.
- 39 Zuckerman JD. Hip fracture. N Engl J Med 1996; 334: 1519–1525.
- 40 Magaziner J, Bassett SS, Hebel JR. Predicting performance on the Mini-Mental State Examination. Use of age- and education-specific equations. J Am Geriatr Soc 1987; 35: 996–1000.
- 41 Michel JP, Hoffmeyer P, Klopfenstein C et al. Prognosis of functional recovery 1 year after hip fracture: Typical patient profiles through cluster analysis. J Gerontol A Biol Sci Med Sci 2000; 55A: M508–M515.
- 42 Lin A, Lenert LA, Hlatky MA et al. Clustering and the design of preference-assessment surveys in healthcare. Health Serv Res 1999; 34: 1033–1045.
- 43 Conrad KJ, Hughes SL, Hanrahan P et al. Classification of adult day care: A cluster analysis of services and activities. J Gerontol 1993; 48: S112–S122.