Literature DB >> 17493312

Using the literature to quantify the learning curve: a case study.

Jonathan A Cook1, Craig R Ramsay, Peter Fayers.   

Abstract

OBJECTIVES: The aim of this study was to assess whether a literature review of a technology can allow a learning curve to be quantified.
METHODS: The literature for fiberoptic intubation was searched for studies reporting information relevant to the learning curve. The Cochrane Library, Medline, Embase, and Science Citation index were searched. Studies that reported a procedure time were included. Data were abstracted on the three features of learning: initial level, rate of learning, and asymptote level. Random effects meta-analysis was performed.
RESULTS: Only twenty-one studies gave explicit information concerning the previous experience of the operator(s). There were thirty-two different definitions of procedure time. From four studies of fiberoptic nasotracheal intubation, the mean starting level and time for the 10th procedure was estimated to be 133 seconds (95 percent confidence interval, 113-153) and 71 seconds (95 percent confidence interval, 62-79), respectively.
CONCLUSIONS: The review approach allowed learning to be quantified for our example technology. Poor and insufficient reporting constrained formal statistical estimation. Standardized reporting of nondrug techniques with adequate learning curve details is needed to inform trial design and cost-effectiveness analysis.

Entities:  

Mesh:

Year:  2007        PMID: 17493312     DOI: 10.1017/S0266462307070341

Source DB:  PubMed          Journal:  Int J Technol Assess Health Care        ISSN: 0266-4623            Impact factor:   2.188


  18 in total

1.  Reverse total shoulder replacement: intraoperative and early postoperative complications.

Authors:  Carl Wierks; Richard L Skolasky; Jong Hun Ji; Edward G McFarland
Journal:  Clin Orthop Relat Res       Date:  2008-08-07       Impact factor: 4.176

Review 2.  The safety of urologic robotic surgery depends on the skills of the surgeon.

Authors:  Erika Palagonia; Elio Mazzone; Geert De Naeyer; Frederiek D'Hondt; Justin Collins; Pawel Wisz; Fijs W B Van Leeuwen; Henk Van Der Poel; Peter Schatteman; Alexandre Mottrie; Paolo Dell'Oglio
Journal:  World J Urol       Date:  2019-08-19       Impact factor: 4.226

3.  A systematic review of the learning curve in robotic surgery: range and heterogeneity.

Authors:  I Kassite; T Bejan-Angoulvant; H Lardy; A Binet
Journal:  Surg Endosc       Date:  2018-09-28       Impact factor: 4.584

4.  Characterizing the learning curve of a virtual intracorporeal suturing simulator VBLaST-SS©.

Authors:  Yaoyu Fu; Lora Cavuoto; Di Qi; Karthikeyan Panneerselvam; Venkata Sreekanth Arikatla; Andinet Enquobahrie; Suvranu De; Steven D Schwaitzberg
Journal:  Surg Endosc       Date:  2019-09-03       Impact factor: 4.584

5.  The Learning Curve in Surgical Practice and Its Applicability to Rhinoplasty.

Authors:  Aditya Yeolekar; Haris Qadri
Journal:  Indian J Otolaryngol Head Neck Surg       Date:  2017-09-06

6.  Sex is not everything: the role of gender in early performance of a fundamental laparoscopic skill.

Authors:  Nicoleta O Kolozsvari; Amin Andalib; Pepa Kaneva; Jiguo Cao; Melina C Vassiliou; Gerald M Fried; Liane S Feldman
Journal:  Surg Endosc       Date:  2010-08-24       Impact factor: 4.584

7.  Challenges in evaluating surgical innovation.

Authors:  Patrick L Ergina; Jonathan A Cook; Jane M Blazeby; Isabelle Boutron; Pierre-Alain Clavien; Barnaby C Reeves; Christoph M Seiler; Douglas G Altman; Jeffrey K Aronson; Jeffrey S Barkun; W Bruce Campbell; Jonathan A Cook; Liane S Feldman; David R Flum; Paul Glasziou; Guy J Maddern; John C Marshall; Peter McCulloch; Jon Nicholl; Steven M Strasberg; Jonathan L Meakins; Deborah Ashby; Nick Black; John Bunker; Martin Burton; Marion Campbell; Kalipso Chalkidou; Iain Chalmers; Marc de Leval; Jon Deeks; Adrian Grant; Muir Gray; Roger Greenhalgh; Milos Jenicek; Sean Kehoe; Richard Lilford; Peter Littlejohns; Yoon Loke; Rajan Madhock; Kim McPherson; Peter Rothwell; Bill Summerskill; David Taggart; Parris Tekkis; Matthew Thompson; Tom Treasure; Ulrich Trohler; Jan Vandenbroucke
Journal:  Lancet       Date:  2009-09-26       Impact factor: 79.321

8.  Validation of the VBLaST pattern cutting task: a learning curve study.

Authors:  Ali M Linsk; Kimberley R Monden; Ganesh Sankaranarayanan; Woojin Ahn; Daniel B Jones; Suvranu De; Steven D Schwaitzberg; Caroline G L Cao
Journal:  Surg Endosc       Date:  2017-10-19       Impact factor: 4.584

9.  Characterizing the learning curve of the VBLaST-PT(©) (Virtual Basic Laparoscopic Skill Trainer).

Authors:  Likun Zhang; Ganesh Sankaranarayanan; Venkata Sreekanth Arikatla; Woojin Ahn; Cristol Grosdemouge; Jesse M Rideout; Scott K Epstein; Suvranu De; Steven D Schwaitzberg; Daniel B Jones; Caroline G L Cao
Journal:  Surg Endosc       Date:  2013-04-10       Impact factor: 4.584

10.  Development of a charting method to monitor the individual performance of surgeons at the beginning of their career.

Authors:  Antoine Duclos; Matthew J Carty; Jean-Louis Peix; Cyrille Colin; Stuart R Lipsitz; Jean-Louis Kraimps; Fabrice Menegaux; François Pattou; Fréderic Sebag; Nicolas Voirin; Sandrine Touzet; Stéphanie Bourdy; Jean-Christophe Lifante
Journal:  PLoS One       Date:  2012-07-31       Impact factor: 3.240

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