Literature DB >> 3185017

Hospital volume and patient outcomes. The case of hip fracture patients.

R G Hughes1, D W Garnick, H S Luft, S J McPhee, S S Hunt.   

Abstract

Patients achieve better outcomes at hospitals that treat larger numbers of patients with certain diagnoses or who are undergoing particular procedures. However, the causal direction underlying this relationship is less well understood. Do patients treated at institutions with higher volumes of patients achieve better outcomes because the hospital staff and physicians have gained expertise by practice (the "practice makes perfect" hypothesis)? Do hospitals with a community reputation for excellent results attract higher volumes of patients because primary care physicians refer patients to specialists who practice there (the "selective referral" hypothesis)? Or, are both explanations important? This article addresses this question through a detailed analysis of patients with a particular diagnosis: hip fracture. In addition, two measures of patient outcomes are compared: long hospital stays as a proxy for in-hospital complications and in-hospital death.

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Year:  1988        PMID: 3185017     DOI: 10.1097/00005650-198811000-00004

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  21 in total

Review 1.  Quality of care: 2. Quality of care studies and their consequences. Health Services Research Group.

Authors: 
Journal:  CMAJ       Date:  1992-07-15       Impact factor: 8.262

2.  Overcoming bias in estimating the volume-outcome relationship.

Authors:  Alexander C Tsai; Mark Votruba; John F P Bridges; Randall D Cebul
Journal:  Health Serv Res       Date:  2006-02       Impact factor: 3.402

3.  Outcome of Pancreaticoduodenectomy at Low-Volume Centre in Tier-II City of India.

Authors:  Kumar Vinchurkar; Vishwanath M Pattanshetti; Manoj Togale; Santosh Hazare; Varadraj Gokak
Journal:  Indian J Surg Oncol       Date:  2018-04-06

4.  The effect of hospital volume on the in-hospital complication rate in knee replacement patients.

Authors:  E C Norton; S A Garfinkel; L J McQuay; D A Heck; J G Wright; R Dittus; R M Lubitz
Journal:  Health Serv Res       Date:  1998-12       Impact factor: 3.402

5.  Effect of hospital volume and experience on in-hospital mortality for pancreaticoduodenectomy.

Authors:  Vivian Ho; Martin J Heslin
Journal:  Ann Surg       Date:  2003-04       Impact factor: 12.969

6.  Risk factors correlated with post-operative mortality for hip fracture surgery in the elderly: a population-based approach.

Authors:  Antonella Franzo; Carlo Francescutti; Giorgio Simon
Journal:  Eur J Epidemiol       Date:  2005       Impact factor: 8.082

7.  Poor outcomes for children on the wait list at low-volume kidney transplant centers in the United States.

Authors:  Abbas Rana; Eileen D Brewer; Brandi B Scully; Michael L Kueht; Matt Goss; Karim J Halazun; Hao Liu; N Thao N Galvan; Ronald T Cotton; Christine A O'Mahony
Journal:  Pediatr Nephrol       Date:  2016-10-18       Impact factor: 3.714

8.  Modeling the volume-effectiveness relationship in the case of hip fracture treatment in Finland.

Authors:  Reijo Sund
Journal:  BMC Health Serv Res       Date:  2010-08-13       Impact factor: 2.655

9.  Does hospital procedure-specific volume affect treatment costs? A national study of knee replacement surgery.

Authors:  B Gutierrez; S D Culler; D A Freund
Journal:  Health Serv Res       Date:  1998-08       Impact factor: 3.402

10.  The value of a special surgical team in preventing complications in the treatment of hip fractures.

Authors:  M J Parker; G A Pryor; J W Myles
Journal:  Int Orthop       Date:  1994-06       Impact factor: 3.075

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