Literature DB >> 10172857

Diffusion of six surgical endoscopic procedures in the Netherlands. Stimulating and restraining factors.

C D Dirksen1, A J Ament, P M Go.   

Abstract

The diffusion of six surgical endoscopic procedures in the Netherlands was investigated. Questionnaires were sent to 138 laparoscopic surgeons. They were asked which of the following laparoscopic procedures they had adopted in their hospital: cholecystectomy, appendicectomy, Nissen fundoplication, inguinal hernia repair, large bowel resection and thoracoscopic procedures. Furthermore, they were asked to indicate the influence of 13 pre-defined factors: "budget', "competition', "conference', "extra benefit', "media', "nature of the technology', "patient demand', "planning/logistics', "reimbursement', "service industry', "support industry', "surgical technique' and "training/course' on the adoption of those procedures. The adoption rates for the procedures were: 100%, 69%, 19%, 43%, 19% and 52%, respectively. In general, factors were assessed more positively by adopters than by non-adopters. Significant differences were mainly found for "extra benefit', "nature of the technology', "surgical technique' and "conference'. The surgeon's perception of the additional benefits of an endoscopic technique and, to a lesser degree, of its technical aspects were the most important factors in deciding whether or not to adopt a procedure. In an ideal diffusion model, a description is given of when and how the 13 factors can influence the diffusion of an endoscopic procedure in the desired direction. In this model, the extra benefit of a new procedure must be proven before other factors are allowed to influence the diffusion.

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Mesh:

Year:  1996        PMID: 10172857     DOI: 10.1016/s0168-8510(96)90054-8

Source DB:  PubMed          Journal:  Health Policy        ISSN: 0168-8510            Impact factor:   2.980


  10 in total

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Review 2.  Diffusion of innovations in service organizations: systematic review and recommendations.

Authors:  Trisha Greenhalgh; Glenn Robert; Fraser Macfarlane; Paul Bate; Olivia Kyriakidou
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3.  Uptake of an innovation in surgery: observations from the cluster-randomized Quality Initiative in Rectal Cancer trial.

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Journal:  Can J Surg       Date:  2013-12       Impact factor: 2.089

4.  Dynamics of intervention adoption, implementation, and maintenance inside organizations: The case of an obesity prevention initiative.

Authors:  Mohammad S Jalali; Hazhir Rahmandad; Sally Lawrence Bullock; Seung Hee Lee-Kwan; Joel Gittelsohn; Alice Ammerman
Journal:  Soc Sci Med       Date:  2018-12-23       Impact factor: 4.634

5.  Laparoscopic surgery for common surgical emergencies: a population-based study.

Authors:  C M Lam; A W Yuen; B Chik; A C Wai; S T Fan
Journal:  Surg Endosc       Date:  2005-05-04       Impact factor: 4.584

Review 6.  Measures for Predictors of Innovation Adoption.

Authors:  Ka Ho Brian Chor; Jennifer P Wisdom; Su-Chin Serene Olin; Kimberly E Hoagwood; Sarah M Horwitz
Journal:  Adm Policy Ment Health       Date:  2015-09

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Journal:  BMC Health Serv Res       Date:  2011-01-31       Impact factor: 2.908

8.  Can international health programmes be sustained after the end of international funding: the case of eye care interventions in Ghana.

Authors:  Karl Blanchet; Philip James
Journal:  BMC Health Serv Res       Date:  2014-02-19       Impact factor: 2.655

9.  Dealing with the complex dynamics of teaching hospitals.

Authors:  Tiuri R van Rossum; Fedde Scheele; Albert J J A Scherpbier; Henk E Sluiter; Ide C Heyligers
Journal:  BMC Med Educ       Date:  2016-04-05       Impact factor: 2.463

10.  Impact of Guidelines on the Diffusion of Medical Technology: A Case Study of Cardiac Resynchronization Therapy in the UK.

Authors:  Rucha Vadia; Tom Stargardt
Journal:  Appl Health Econ Health Policy       Date:  2020-09-24       Impact factor: 2.561

  10 in total

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