Literature DB >> 14572848

Networked for change? Identifying obstetric opinion leaders and assessing their opinions on caesarean delivery.

Richard L Kravitz1, David Krackhardt, Joy Melnikow, Carol E Franz, William M Gilbert, Andra Zach, Debora A Paterniti, Patrick S Romano.   

Abstract

The objective was to determine whether obstetric opinion leaders can be identified and to characterize them in terms of their demographic and professional characteristics and their attitudes toward caesarean delivery. In late 1998, we surveyed 527 obstetricians, 138 family physicians, and 80 certified nurse midwives (overall response rate, 57.8%) practicing in a stratified random sample of California hospitals with at least 1000 annual deliveries (n=52). Participants reported on demographic and professional characteristics and attitudes towards caesarean delivery; they also checked off those hospital colleagues from whom they had sought or would seek advice on labour and delivery. A composite measure of nomination frequency was used to characterize each respondent's degree of "opinion leadership". All analyses were corrected for the complex survey design. Using a nomination cutoff of 0.4 (0-1 scale), opinion leaders were identified in 31% of California hospitals; they were identified in 81% of hospitals using a cutoff of 0.2. Compared with their peers in the lowest fifth of the nomination distribution, clinicians in the top fifth were younger and more likely to be male, to speak English as a first language, to practice obstetrics, to have a maternal-foetal medicine subspecialty, and to practice in higher volume hospitals (p<0.05). Regardless of discipline, opinion leaders held attitudes concordant with reducing the caesarean delivery rate more often than non-opinion leaders. However, only 48% of obstetrical opinion leaders would support reducing the caesarean delivery rate to levels targeted by Healthy People 2000. In conclusion, obstetric opinion leaders could be identified in many California hospitals. However, they did not consistently support policies designed to reduce the caesarean delivery rate. The results have implications for the generalizability of opinion leader strategies.

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Year:  2003        PMID: 14572848     DOI: 10.1016/s0277-9536(03)00137-0

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   4.634


  10 in total

1.  Communication, advice exchange and job satisfaction of nursing staff: a social network analyses of 35 long-term care units.

Authors:  Adriana P A van Beek; Cordula Wagner; Peter P M Spreeuwenberg; Dinnus H M Frijters; Miel W Ribbe; Peter P Groenewegen
Journal:  BMC Health Serv Res       Date:  2011-06-01       Impact factor: 2.655

2.  Exploring the use of social network methods in designing healthcare quality improvement teams.

Authors:  David Meltzer; Jeanette Chung; Parham Khalili; Elizabeth Marlow; Vineet Arora; Glen Schumock; Ron Burt
Journal:  Soc Sci Med       Date:  2010-05-25       Impact factor: 4.634

3.  The impact of social networks on knowledge transfer in long-term care facilities: Protocol for a study.

Authors:  Anne E Sales; Carole A Estabrooks; Thomas W Valente
Journal:  Implement Sci       Date:  2010-06-23       Impact factor: 7.327

Review 4.  The role of human agents in facilitating clinical and translational science.

Authors:  J David Johnson
Journal:  Clin Transl Sci       Date:  2012-02-23       Impact factor: 4.689

5.  An exploratory study of networks constructed using access data from an electronic health record.

Authors:  Nengliang Yao; Xi Zhu; Alan Dow; Vimal K Mishra; Allison Phillips; Shin-Ping Tu
Journal:  J Interprof Care       Date:  2018-07-17       Impact factor: 2.338

Review 6.  Social network analysis in healthcare settings: a systematic scoping review.

Authors:  Duncan Chambers; Paul Wilson; Carl Thompson; Melissa Harden
Journal:  PLoS One       Date:  2012-08-03       Impact factor: 3.240

7.  A blended knowledge translation initiative to improve colorectal cancer staging [ISRCTN56824239].

Authors:  Frances C Wright; Calvin H L Law; Linda D Last; Neil Klar; David P Ryan; Andrew J Smith
Journal:  BMC Health Serv Res       Date:  2006-01-16       Impact factor: 2.655

8.  Gathering opinion leader data for a tailored implementation intervention in secondary healthcare: a randomised trial.

Authors:  Katherine Farley; Andria Hanbury; Carl Thompson
Journal:  BMC Med Res Methodol       Date:  2014-03-10       Impact factor: 4.615

9.  "Us and them": a social network analysis of physicians' professional networks and their attitudes towards EBM.

Authors:  Daniele Mascia; Americo Cicchetti; Gianfranco Damiani
Journal:  BMC Health Serv Res       Date:  2013-10-22       Impact factor: 2.655

10.  Identification of Safety-Related Opinion Leaders among Construction Workers: Evidence from Scaffolders of Metro Construction in Wuhan, China.

Authors:  Chaohua Xiong; Kongzheng Liang; HanBin Luo; Ivan W H Fung
Journal:  Int J Environ Res Public Health       Date:  2018-10-04       Impact factor: 3.390

  10 in total

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