Incidence Rates of and Mortality after Hip Fracture among German Nursing Home Residents

Int J Environ Res Public Health. 2018 Feb 7;15(2):289. doi: 10.3390/ijerph15020289.

Abstract

Little is known about hip fracture rates and post-fracture mortality among nursing home residents. This retrospective cohort study examined incidence rates (IR) of and mortality after hip fracture in this population focusing on sex differences. A cohort of >127,000 residents ≥65 years, newly admitted to German nursing homes between 2010 and 2014 were used to calculate age-, sex-, care-need- and time after admission-specific IR. To determine mortality, the Kaplan-Meier-method was applied. Using Cox regression, we studied mortality and estimated time-dependent hazard ratios (HRs). For this purpose, to each person with a hip fracture, one resident without a hip fracture was matched by sex, age and care-need using risk-set sampling. 75% were women (mean age: 84.0 years). During 168,588 person-years (PY), 8537 residents with at least one hip fracture were observed. The IR for women and men were 52.9 and 42.5/1000 PY. For both sexes, IR increased with rising age and decreased with increasing care-level. IR were highest in the first months after admission and subsequently declined afterwards. The impact of hip fractures on mortality was time-dependent. Mortality of residents with hip fracture was highest in the first two months after fracture compared to those without (HR): 2.82; 95% CI 2.57-3.11) and after six months, no differences were found (HR: 1.10; 95% CI 0.98-1.22) Further research should always include analyses stratified by sex, age and time period after admission.

Keywords: health services research; hip fracture; incidence rate; mortality; nursing home.

MeSH terms

  • Aged
  • Aged, 80 and over
  • Female
  • Germany / epidemiology
  • Hip Fractures / epidemiology*
  • Hip Fractures / mortality
  • Homes for the Aged*
  • Hospitalization
  • Humans
  • Incidence
  • Male
  • Nursing Homes*
  • Retrospective Studies
  • Risk
  • Survival Analysis