Literature DB >> 19859643

Burden of hip fracture on inpatient care: a before and after population-based study.

A Duclos1, S Couray-Targe, M Randrianasolo, S Hedoux, C M Couris, C Colin, A M Schott.   

Abstract

SUMMARY: We estimated the excess hospital expenditure attributable to osteoporotic hip fracture (HF) within a population of 6,019 patients. Post-fracture excess of hospital days was 23.1, including 22.7 days in rehabilitation care. HF might result from a patient's pre-fracture poor health status rather than predispose to a worsening of such pre-existing conditions.
INTRODUCTION: Hip fracture represents a large burden on hospital services. It is unclear whether the post-fracture expenditure is linked to a worsening of pre-fracture comorbid conditions. We estimated the excess hospital expenditure attributable to osteoporotic HF following the initial hospitalization for acute care (index stay).
METHODS: We identified 6,019 patients (> or = 50 years) who experienced HF in 2005 and compared their hospitalizations 1 year before and 1 year after the index stay. Excess expenditure was estimated by subtracting the utilization of hospital days or costs (Euros 2005) before the index stay from those after the index stay. Factors associated with hospitalization during the pre-fracture and post-fracture years were identified using multivariate logistic regressions.
RESULTS: Beside the index stay, post-fracture excess of hospital days was 23.1 (95% Confidence Interval (CI) [21.8-24.3]), including 22.7 days (95% CI [21.7-23.7]) in rehabilitation care and 0.3 days (95% CI [0-0.9]) in acute care. Estimated excess cost per patient was <euro>5,986 (95% CI [5,638-6,335]) after the index stay, including <euro>5,673 (95% CI [5,419-5,928]) in rehabilitation care. Male and elderly patients were at higher risk to be hospitalized in acute care during the year preceding and succeeding HF.
CONCLUSIONS: Osteoporotic HF represents a pronounced excess expenditure in hospital, which is mostly linked to rehabilitation care. Considering that utilization of inpatient acute care was quite similar before and after the index stay, HF might result from a patient's pre-fracture poor health status, rather than predispose to a worsening of such pre-existing conditions.

Entities:  

Mesh:

Year:  2009        PMID: 19859643     DOI: 10.1007/s00198-009-1087-7

Source DB:  PubMed          Journal:  Osteoporos Int        ISSN: 0937-941X            Impact factor:   4.507


  43 in total

Review 1.  Treatment of established osteoporosis: a systematic review and cost-utility analysis.

Authors:  J A Kanis; J E Brazier; M Stevenson; N W Calvert; M Lloyd Jones
Journal:  Health Technol Assess       Date:  2002       Impact factor: 4.014

2.  The use and interpretation of quasi-experimental studies in infectious diseases.

Authors:  Anthony D Harris; Douglas D Bradham; Mona Baumgarten; Ilene H Zuckerman; Jeffrey C Fink; Eli N Perencevich
Journal:  Clin Infect Dis       Date:  2004-05-12       Impact factor: 9.079

Review 3.  Will my patient fall?

Authors:  David A Ganz; Yeran Bao; Paul G Shekelle; Laurence Z Rubenstein
Journal:  JAMA       Date:  2007-01-03       Impact factor: 56.272

4.  [Transfer to a rehabilitation center after hip replacement surgery, frequency and related factors].

Authors:  Philippe Ha-Vinh; Daniel Berdeu; Laurent Sauze
Journal:  Presse Med       Date:  2005-07-23       Impact factor: 1.228

5.  Incidence and economic burden of osteoporosis-related fractures in the United States, 2005-2025.

Authors:  Russel Burge; Bess Dawson-Hughes; Daniel H Solomon; John B Wong; Alison King; Anna Tosteson
Journal:  J Bone Miner Res       Date:  2007-03       Impact factor: 6.741

6.  Costs and quality of life associated with osteoporosis-related fractures in Sweden.

Authors:  Fredrik Borgström; Niklas Zethraeus; Olof Johnell; Lars Lidgren; Sari Ponzer; Olle Svensson; Peter Abdon; Ewald Ornstein; Karl Lunsjö; Karl Göran Thorngren; Ingemar Sernbo; Clas Rehnberg; Bengt Jönsson
Journal:  Osteoporos Int       Date:  2005-11-09       Impact factor: 4.507

7.  The human cost of fracture.

Authors:  Julie A Pasco; Kerrie M Sanders; Frouckje M Hoekstra; Margaret J Henry; Geoffrey C Nicholson; Mark A Kotowicz
Journal:  Osteoporos Int       Date:  2005-10-14       Impact factor: 4.507

8.  Cost analysis of fracture of the neck of femur.

Authors:  F H French; D J Torgerson; R W Porter
Journal:  Age Ageing       Date:  1995-05       Impact factor: 10.668

9.  Excess mortality following hip fracture: the role of underlying health status.

Authors:  A N A Tosteson; D J Gottlieb; D C Radley; E S Fisher; L J Melton
Journal:  Osteoporos Int       Date:  2007-08-29       Impact factor: 4.507

10.  The effect of hip fracture on mortality, hospitalization, and functional status: a prospective study.

Authors:  F D Wolinsky; J F Fitzgerald; T E Stump
Journal:  Am J Public Health       Date:  1997-03       Impact factor: 9.308

View more
  3 in total

1.  The epidemiology of osteoporosis--Bone Evaluation Study (BEST): an analysis of routine health insurance data.

Authors:  Peyman Hadji; Silvia Klein; Holger Gothe; Bertram Häussler; Thomas Kless; Torsten Schmidt; Thomas Steinle; Frank Verheyen; Roland Linder
Journal:  Dtsch Arztebl Int       Date:  2013-01-25       Impact factor: 5.594

2.  Total hospital stay for hip fracture: measuring the variations due to pre-fracture residence, rehabilitation, complications and comorbidities.

Authors:  Anthony W Ireland; Patrick J Kelly; Robert G Cumming
Journal:  BMC Health Serv Res       Date:  2015-01-22       Impact factor: 2.655

3.  The ratchet effect: dramatic and sustained changes in health care utilization following admission to hospital with chronic disease.

Authors:  David Whyatt; Raji Tenneti; Julie Marsh; Sarah E Bolt; Anna Kemp; Laura Firth; Kevin Murray; Berwin Turlach; Alistair Vickery
Journal:  Med Care       Date:  2014-10       Impact factor: 2.983

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.