@article {7379, title = {The aftermath of hip fracture: discharge placement, functional status change, and mortality.}, journal = {Am J Epidemiol}, volume = {170}, year = {2009}, month = {2009 Nov 15}, pages = {1290-9}, publisher = {170}, abstract = {

The authors prospectively explored the consequences of hip fracture with regard to discharge placement, functional status, and mortality using the Survey on Assets and Health Dynamics Among the Oldest Old (AHEAD). Data from baseline (1993) AHEAD interviews and biennial follow-up interviews were linked to Medicare claims data from 1993-2005. There were 495 postbaseline hip fractures among 5,511 respondents aged >or=69 years. Mean age at hip fracture was 85 years; 73\% of fracture patients were white women, 45\% had pertrochanteric fractures, and 55\% underwent surgical pinning. Most patients (58\%) were discharged to a nursing facility, with 14\% being discharged to their homes. In-hospital, 6-month, and 1-year mortality were 2.7\%, 19\%, and 26\%, respectively. Declines in functional-status-scale scores ranged from 29\% on the fine motor skills scale to 56\% on the mobility index. Mean scale score declines were 1.9 for activities of daily living, 1.7 for instrumental activities of daily living, and 2.2 for depressive symptoms; scores on mobility, large muscle, gross motor, and cognitive status scales worsened by 2.3, 1.6, 2.2, and 2.5 points, respectively. Hip fracture characteristics, socioeconomic status, and year of fracture were significantly associated with discharge placement. Sex, age, dementia, and frailty were significantly associated with mortality. This is one of the few studies to prospectively capture these declines in functional status after hip fracture.

}, keywords = {Activities of Daily Living, Aged, Aged, 80 and over, depression, Female, Health Status, Health Status Indicators, Hip Fractures, Humans, Interviews as Topic, Iowa, Length of Stay, Logistic Models, Medicare, Patient Discharge, Prospective Studies, Psychometrics, Socioeconomic factors, Time Factors, Treatment Outcome, United States}, issn = {1476-6256}, doi = {10.1093/aje/kwp266}, author = {Suzanne E Bentler and Li Liu and Maksym Obrizan and Elizabeth A Cook and Kara B Wright and John F Geweke and Elizabeth A Chrischilles and Claire E Pavlik and Robert B Wallace and Robert L. Ohsfeldt and Michael P Jones and Gary E Rosenthal and Frederic D Wolinsky} } @article {7405, title = {Recent hospitalization and the risk of hip fracture among older Americans.}, journal = {J Gerontol A Biol Sci Med Sci}, volume = {64}, year = {2009}, month = {2009 Feb}, pages = {249-55}, publisher = {64}, abstract = {

BACKGROUND: We identified hip fracture risks in a prospective national study.

METHODS: Baseline (1993-1994) interview data were linked to Medicare claims for 1993-2005. Participants were 5,511 self-respondents aged 70 years and older and not in managed Medicare. ICD9-CM 820.xx (International Classification of Diseases, 9th Edition, Clinical Modification) codes identified hip fracture. Participants were censored at death or enrollment into managed Medicare. Static risk factors included sociodemographic, socioeconomic, place of residence, health behavior, disease history, and functional and cognitive status measures. A time-dependent marker reflecting postbaseline hospitalizations was included.

RESULTS: A total of 495 (8.9\%) participants suffered a postbaseline hip fracture. In the static proportional hazards model, the greatest risks involved age (adjusted hazard ratios [AHRs] of 2.01, 2.82, and 4.91 for 75-79, 80-84, and > or =85 year age groups vs those aged 70-74 years; p values <.001), sex (AHR = 0.45 for men vs women; p < .001), race (AHRs of 0.37 and 0.46 for African Americans and Hispanics vs whites; p values <.001 and <.01), body mass (AHRs of 0.40, 0.77, and 1.73 for obese, overweight, and underweight vs normal weight; p values <.001, <.05, and <.01), smoking status (AHRs = 1.49 and 1.52 for current and former smokers vs nonsmokers; p values <.05 and <.001), and diabetes (AHR = 1.99; p < .001). The time-dependent recent hospitalization marker did not alter the static model effect estimates, but it did substantially increase the risk of hip fracture (AHR = 2.51; p < .001).

CONCLUSIONS: Enhanced discharge planning and home care for non-hip fracture hospitalizations could reduce subsequent hip fracture rates.

}, keywords = {Accidental Falls, Age Distribution, Aged, Aged, 80 and over, Aging, Cohort Studies, Female, Follow-Up Studies, Geriatric Assessment, Hip Fractures, Hospitalization, Humans, Logistic Models, Male, Multivariate Analysis, Probability, Proportional Hazards Models, Prospective Studies, Risk Factors, Sex Distribution, Survival Analysis, United States}, issn = {1758-535X}, doi = {10.1093/gerona/gln027}, author = {Frederic D Wolinsky and Suzanne E Bentler and Li Liu and Maksym Obrizan and Elizabeth A Cook and Kara B Wright and John F Geweke and Elizabeth A Chrischilles and Claire E Pavlik and Robert L. Ohsfeldt and Michael P Jones and Kelly K Richardson and Gary E Rosenthal and Robert B Wallace} }