Literature DB >> 12934954

The practice-makes-perfect hypothesis in the context of other production concepts in health care.

Afschin Gandjour1, Karl W Lauterbach.   

Abstract

Many studies have found a significant relationship between the volume of specific diagnoses and procedures and patient outcomes. Often, these studies have cited the "practice-makes-perfect" hypothesis as a potential explanation. However, the expression "practice-makes-perfect" hypothesis is inappropriate in most circumstances. This article suggests using the expression "routine" hypothesis instead. In addition, this article compares the routine hypothesis with other familiar concepts from industrial production, which also aim at explaining the relationship between factor input and output in health care: economies of scale, economies of scope, the learning curve, and the focused factory. To point out subtle differences among the concepts, this article suggests a taxonomy organized by type of output and outcome. This taxonomy may help ensure the appropriate use of terminology when applying these concepts.

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Year:  2003        PMID: 12934954     DOI: 10.1177/106286060301800407

Source DB:  PubMed          Journal:  Am J Med Qual        ISSN: 1062-8606            Impact factor:   1.852


  6 in total

1.  Cost-effectiveness of referrals to high-volume hospitals: an analysis based on a probabilistic Markov model for hip fracture surgeries.

Authors:  Afschin Gandjour; Eva-Julia Weyler
Journal:  Health Care Manag Sci       Date:  2006-11

2.  The Volume-Outcome Relationship Revisited: Practice Indeed Makes Perfect.

Authors:  Corinna Hentschker; Roman Mennicken
Journal:  Health Serv Res       Date:  2017-09-04       Impact factor: 3.402

3.  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

4.  Volume-outcome relationship in transcatheter aortic valve implantations in Germany 2008-2014: a secondary data analysis of electronic health records.

Authors:  Klaus Kaier; Vera Oettinger; Holger Reinecke; Claudia Schmoor; Lutz Frankenstein; Werner Vach; Philip Hehn; Constantin von Zur Mühlen; Christoph Bode; Manfred Zehender; Jochen Reinöhl
Journal:  BMJ Open       Date:  2018-07-28       Impact factor: 2.692

5.  High Operator and Hospital Volume Are Associated With a Decreased Risk of Death and Stroke After Carotid Revascularization: A Systematic Review and Meta-analysis.

Authors:  Michiel H F Poorthuis; Eelco C Brand; Alison Halliday; Richard Bulbulia; Michiel L Bots; Gert J de Borst
Journal:  Ann Surg       Date:  2019-04       Impact factor: 12.969

6.  Is there a volume-quality relationship within the independent treatment centre sector? A longitudinal analysis.

Authors:  Florien Margareth Kruse; M C van Nieuw Amerongen; I Borghans; A S Groenewoud; E Adang; P P T Jeurissen
Journal:  BMC Health Serv Res       Date:  2019-11-21       Impact factor: 2.655

  6 in total

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