Literature DB >> 27815914

Patient factors associated with increased acute care costs of hip fractures: a detailed analysis of 402 patients.

R Aigner1, T Meier Fedeler2, D Eschbach2, J Hack2, C Bliemel2, S Ruchholtz2, B Bücking2.   

Abstract

The aim of the present study was to identify patient factors associated with higher costs in hip fracture patients. The mean costs of a prospectively observed sample of 402 patients were 8853 €. The ASA score, Charlson comorbidity index, and fracture location were associated with increased costs.
PURPOSE: Fractures of the proximal end of the femur (hip fractures) are of increasing incidence due to demographic changes. Relevant co-morbidities often present in these patients cause high complication rates and prolonged hospital stays, thus leading to high costs of acute care. The aim of this study was to perform a precise cost analysis of the actual hospital costs of hip fractures and to identify patient factors associated with increased costs.
METHODS: The basis of this analysis was a prospectively observed single-center trial, which included 402 patients with fractures of the proximal end of the femur. All potential cost factors were recorded as accurately as possible for each of the 402 patients individually, and statistical analysis was performed to identify associations between pre-existing patient factors and acute care costs.
RESULTS: The mean total acute care costs per patient were 8853 ± 5676 € with ward costs (5828 ± 4294 €) and costs for surgical treatment (1972 ± 956 €) representing the major cost factors. The ASA score, Charlson comorbidity index, and fracture location were identified as influencing the costs of acute care for hip fracture treatment.
CONCLUSION: Hip fractures are associated with high acute care costs. This study underlines the necessity of sophisticated risk-adjusted payment models based on specific patient factors. Economic aspects should be an integral part of future hip fracture research due to limited health care resources.

Entities:  

Keywords:  Co-morbidities; Cost analysis; Fracture patterns; Geriatric; Hip fracture

Mesh:

Year:  2016        PMID: 27815914     DOI: 10.1007/s11657-016-0291-2

Source DB:  PubMed          Journal:  Arch Osteoporos            Impact factor:   2.617


  10 in total

1.  [Analysis of rising treatment cost of elevated BMI in patients with proximal femoral fracture].

Authors:  Alexander Gutwerk; Michael Müller; Moritz Crönlein; Chlodwig Kirchhoff; Peter Biberthaler; Dominik Pförringer; Karl Braun
Journal:  Unfallchirurgie (Heidelb)       Date:  2022-05-23

2.  Frailty, length of stay and cost in hip fracture patients.

Authors:  Beatrix Ling Ling Wong; Yiong Huak Chan; Gavin Kane O'Neill; Diarmuid Murphy; Reshma Aziz Merchant
Journal:  Osteoporos Int       Date:  2022-10-05       Impact factor: 5.071

3.  Admitting Service Affects Cost and Length of Stay of Hip Fracture Patients.

Authors:  Ariana Lott; Jack Haglin; Rebekah Belayneh; Sanjit R Konda; Kenneth A Egol
Journal:  Geriatr Orthop Surg Rehabil       Date:  2018-11-21

4.  The Coming Hip and Femur Fracture Bundle: A New Inpatient Risk Stratification Tool for Care Providers.

Authors:  Sanjit R Konda; Ariana Lott; Kenneth A Egol
Journal:  Geriatr Orthop Surg Rehabil       Date:  2018-09-25

5.  The epidemiology and economic burden of hip fractures in Israel.

Authors:  Royi Barnea; Yossi Weiss; Ifat Abadi-Korek; Joshua Shemer
Journal:  Isr J Health Policy Res       Date:  2018-08-02

6.  The Predictive Value of the "Identification of Seniors at Risk" Score on Mortality, Length of Stay, Mobility and the Destination of Discharge of Geriatric Hip Fracture Patients.

Authors:  Tom Knauf; Benjamin Buecking; Lukas Geiger; Juliana Hack; Ruth Schwenzfeur; Matthias Knobe; Daphne Eschbach; Steffen Ruchholtz; Rene Aigner
Journal:  Clin Interv Aging       Date:  2022-03-31       Impact factor: 4.458

7.  Development and Validation of a New Tool in Predicting In-Hospital Mortality for Hip-Fractured Patients: The PRIMOF Score.

Authors:  Giuseppe Di Martino; Pamela Di Giovanni; Fabrizio Cedrone; Michela D'Addezio; Francesca Meo; Piera Scampoli; Ferdinando Romano; Tommaso Staniscia
Journal:  Medicina (Kaunas)       Date:  2022-08-11       Impact factor: 2.948

8.  Estimated expenditures for hip fractures using merged healthcare insurance data for individuals aged ≥ 75 years and long-term care insurance claims data in Japan.

Authors:  Takahiro Mori; Nanako Tamiya; Xueying Jin; Boyoung Jeon; Satoru Yoshie; Katsuya Iijima; Tatsuro Ishizaki
Journal:  Arch Osteoporos       Date:  2018-03-30       Impact factor: 2.617

9.  Medical and economic consequences of perioperative complications in older hip fracture patients.

Authors:  Tom Knauf; Juliana Hack; Juliane Barthel; Daphne Eschbach; Carsten Schoeneberg; Steffen Ruchholtz; Benjamin Buecking; Rene Aigner
Journal:  Arch Osteoporos       Date:  2020-11-06       Impact factor: 2.617

10.  Prognostic performance of clinical assessment tools following hip fracture in patients with chronic kidney disease.

Authors:  Henry H L Wu; Reinier Van Mierlo; George McLauchlan; Kirsty Challen; Sandip Mitra; Ajay P Dhaygude; Andrew C Nixon
Journal:  Int Urol Nephrol       Date:  2021-03-08       Impact factor: 2.370

  10 in total

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