Literature DB >> 29385446

A comparison of outcomes between Canada and the United States in patients recovering from hip fracture repair: secondary analysis of the FOCUS trial.

Lauren A Beaupre1, Eugene K Wai2,3,4, Donald R Hoover5, Helaine Noveck6, Darren M Roffey2, Donald R Cook7, Jay S Magaziner8, Jeffrey L Carson6.   

Abstract

OBJECTIVE: To determine if adjusted mortality, walking ability or return home differed after hip fracture surgery between Canada and the USA.
DESIGN: Secondary analysis of the Functional Outcomes in Cardiovascular Patients Undergoing Surgical Hip Fracture Repair (FOCUS) trial data.
SETTING: Data were collected from 47 American and Canadian hospitals. PARTICIPANTS: Overall, 2016 subjects with a hip fracture (USA = 1222 (60.6%); Canada = 794 (39.4%)) were randomized to a liberal or restrictive transfusion strategy. Subjects were 50 years and older, with cardiovascular disease and/or risk factors and hemoglobin <100 g/L within 3 days post-surgery. The average age was 82 years and 1527(76%) subjects were females. INTERVENTION: Demographics, health status and health services data were collected up to 60 days post-surgery and mortality to a median of 3 years post-surgery. MAIN OUTCOMES: Mortality, inability to walk and return home.
RESULTS: US subjects had higher adjusted mortality than Canadians at 30 days (odds ratio = 1.78; 95% confidence interval: 1.09-2.90), 60 days (1.53; 1.02-2.29) and up to 3 years (hazard ratio = 1.25; 1.07-1.45). There were no differences in adjusted outcomes for walking ability or return home at 30 or 60 days post-surgery. Median hospital length of stay was longer (P < 0.0001) in Canada (9 days; interquartile range: 5-18 days) than the US (3 days; 2-5 days). US subjects (52.9%) were more likely than Canadians (16.8%) to be discharged to nursing homes for rehabilitation (P < 0.001).
CONCLUSIONS: Adjusted survival favored Canadians post hip fracture while walking ability and return home were not different between countries. The reason(s) for mortality differences warrant further investigation.

Entities:  

Mesh:

Year:  2018        PMID: 29385446      PMCID: PMC5890863          DOI: 10.1093/intqhc/mzx199

Source DB:  PubMed          Journal:  Int J Qual Health Care        ISSN: 1353-4505            Impact factor:   2.038


  20 in total

1.  Liberal or restrictive transfusion in high-risk patients after hip surgery.

Authors:  Jeffrey L Carson; Michael L Terrin; Helaine Noveck; David W Sanders; Bernard R Chaitman; George G Rhoads; George Nemo; Karen Dragert; Lauren Beaupre; Kevin Hildebrand; William Macaulay; Courtland Lewis; Donald Richard Cook; Gwendolyn Dobbin; Khwaja J Zakriya; Fred S Apple; Rebecca A Horney; Jay Magaziner
Journal:  N Engl J Med       Date:  2011-12-14       Impact factor: 91.245

Review 2.  Prevention of falls and consequent injuries in elderly people.

Authors:  Pekka Kannus; Harri Sievänen; Mika Palvanen; Teppo Järvinen; Jari Parkkari
Journal:  Lancet       Date:  2005-11-26       Impact factor: 79.321

Review 3.  Transfusion trigger trial for functional outcomes in cardiovascular patients undergoing surgical hip fracture repair (FOCUS).

Authors:  Jeffrey L Carson; Michael L Terrin; Jay Magaziner; Bernard R Chaitman; Fred S Apple; David A Heck; David Sanders
Journal:  Transfusion       Date:  2006-12       Impact factor: 3.157

Review 4.  A systematic review of medical practice variation in OECD countries.

Authors:  Ashley N Corallo; Ruth Croxford; David C Goodman; Elisabeth L Bryan; Divya Srivastava; Therese A Stukel
Journal:  Health Policy       Date:  2013-08-23       Impact factor: 2.980

5.  Evaluating patient safety indicators in orthopedic surgery between Italy and the USA.

Authors:  Dario Tedesco; Tina Hernandez-Boussard; Elisa Carretta; Paola Rucci; Maurizia Rolli; Patrizio Di Denia; Kathryn McDonald; Maria Pia Fantini
Journal:  Int J Qual Health Care       Date:  2016-06-06       Impact factor: 2.038

6.  The injured elderly: a rising tide.

Authors:  David J Ciesla; Etienne E Pracht; Joseph J Tepas; John Y Cha; Barbara Langland-Orban; Lewis M Flint
Journal:  Surgery       Date:  2013-08       Impact factor: 3.982

7.  Long-term mortality of patients with acute myocardial infarction in the United States and Canada: comparison of patients enrolled in Global Utilization of Streptokinase and t-PA for Occluded Coronary Arteries (GUSTO)-I.

Authors:  Padma Kaul; Paul W Armstrong; Wei-Ching Chang; C David Naylor; Christopher B Granger; Kerry L Lee; Eric D Peterson; Robert M Califf; Eric J Topol; Daniel B Mark
Journal:  Circulation       Date:  2004-09-20       Impact factor: 29.690

8.  A World Health Organization field trial assessing a proposed ICD-11 framework for classifying patient safety events.

Authors:  Alan J Forster; Burnand Bernard; Saskia E Drösler; Yana Gurevich; James Harrison; Jean-Marie Januel; Patrick S Romano; Danielle A Southern; Vijaya Sundararajan; Hude Quan; Saskia E Vanderloo; Harold A Pincus; William A Ghali
Journal:  Int J Qual Health Care       Date:  2017-08-01       Impact factor: 2.038

9.  Falling behind: life expectancy in US counties from 2000 to 2007 in an international context.

Authors:  Sandeep C Kulkarni; Alison Levin-Rector; Majid Ezzati; Christopher Jl Murray
Journal:  Popul Health Metr       Date:  2011-06-15

10.  A systematic review of studies comparing health outcomes in Canada and the United States.

Authors:  Gordon H Guyatt; Pj Devereaux; Joel Lexchin; Samuel B Stone; Armine Yalnizyan; David Himmelstein; Steffie Woolhandler; Qi Zhou; Laurie J Goldsmith; Deborah J Cook; Ted Haines; Christina Lacchetti; John N Lavis; Terrence Sullivan; Ed Mills; Shelley Kraus; Neera Bhatnagar
Journal:  Open Med       Date:  2007-04-14
View more
  2 in total

1.  Discharge destination following hip fracture in Canada among previously community-dwelling older adults, 2004-2012: database study.

Authors:  L Beaupre; B Sobolev; P Guy; J D Kim; L Kuramoto; K J Sheehan; J M Sutherland; E Harvey; S N Morin
Journal:  Osteoporos Int       Date:  2019-04-01       Impact factor: 4.507

2.  Predicting discharge placement after elective surgery for lumbar spinal stenosis using machine learning methods.

Authors:  Paul T Ogink; Aditya V Karhade; Quirina C B S Thio; William B Gormley; Fetullah C Oner; Jorrit J Verlaan; Joseph H Schwab
Journal:  Eur Spine J       Date:  2019-04-02       Impact factor: 3.134

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.