Literature DB >> 16322007

Rationing of joint replacements raises fears of further cuts.

Rebecca Coombes.   

Abstract

Mesh：

Year:  2005        PMID： 16322007      PMCID： PMC1298842          DOI： 10.1136/bmj.331.7528.1290

Source DB:  PubMed          Journal:  BMJ        ISSN： 0959-8138


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  9 in total

1.  Rationing in response to NHS deficits: rural patients are likely to be affected most.

Authors:  Sheena Asthana; Alex Gibson
Journal:  BMJ       Date:  2005-12-17

2.  Rationing joint replacements: ...and is false economy resulting in overall damage.

Authors:  Martin W McNicol
Journal:  BMJ       Date:  2005-12-17

3.  Rationing joint replacements: trust's decision seems to be based on prejudice or attributing blame...

Authors:  Nicholas Finer
Journal:  BMJ       Date:  2005-12-17

Review 4.  Joint replacement in the overweight patient: a logical approach or new form of rationing?

Authors:  Warren Davis; Matthew Porteous
Journal:  Ann R Coll Surg Engl       Date:  2007-04       Impact factor: 1.891

5.  Obesity and joint replacement surgery in Canada: findings from the Canadian Joint Replacement Registry (CJRR).

Authors:  Nicole de Guia; Naisu Zhu; Margaret Keresteci; Juqing Ellen Shi
Journal:  Healthc Policy       Date:  2006-03

6.  Obesity and racial characteristics drive utilization of total joint arthroplasty at a younger age.

Authors:  J Logan Brock; Atul F Kamath
Journal:  J Clin Orthop Trauma       Date:  2018-04-17

7.  Rationing of total knee replacement: a cost-effectiveness analysis on a large trial data set.

Authors:  Helen Dakin; Alastair Gray; Ray Fitzpatrick; Graeme Maclennan; David Murray
Journal:  BMJ Open       Date:  2012-01-30       Impact factor: 2.692

8.  Relationship between obesity and early failure of total knee prostheses.

Authors:  Barbara Bordini; Susanna Stea; Sara Cremonini; Marco Viceconti; Rossana De Palma; Aldo Toni
Journal:  BMC Musculoskelet Disord       Date:  2009-03-05       Impact factor: 2.362

9.  Analysis of change in patient-reported outcome measures with floor and ceiling effects using the multilevel Tobit model: a simulation study and an example from a National Joint Register using body mass index and the Oxford Hip Score.

Authors:  Adrian Sayers; Michael R Whitehouse; Andrew Judge; Alex J MacGregor; Ashley W Blom; Yoav Ben-Shlomo
Journal:  BMJ Open       Date:  2020-08-27       Impact factor: 2.692
  9 in total

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