Identification of potential opinion leaders in child health promotion in Sweden using network analysis

BackgroundOpinion leaders are often local individuals with high credibility who can influence other people. Robust effects using opinion leaders in diffusing innovations have been shown in several randomized controlled trials, for example regarding sexually transmitted infections (STI), human immunodeficiency virus (HIV) prevention, mammography rates and caesarean birth delivery rates. In a Cochrane review 2010 it was concluded that the use of opinion leaders can successfully promote evidence-based practice. Thus, using opinion leaders within the public health sector might be one means to speed up the dissemination of health promoting and disease preventing innovations. Social network analysis has been used to trace and map networks, with focus on relationships and positions, in widely spread arenas and topics. The purpose of this study was to use social network analysis in order to identify potential opinion leaders at the arena of child health promotion in Sweden.ResultsBy using snowball technique a short e-mail question was spread in up to five links, starting from seven initially invited persons. This inquiry resulted in a network consisting of 153 individuals. The most often mentioned actors were researchers, public health officials and paediatricians, or a combination of these professions. Four single individuals were mentioned by five to seven other persons in the network. These individuals obviously possess qualities that make other professionals within the public health sector listen to and trust them.ConclusionsSocial network analysis seemed to be a useful method to identify influential persons with high credibility, i.e. potential opinion leaders, at the arena of child health promotion in Sweden. If genuine opinion leaders could be identified directed measures can be carried out in order to spread new and relevant knowledge. This may facilitate for public health actors at the local, regional and national level to more rapidly progress innovations into everyday practice. However, effectiveness studies of opinion leaders in the public health sector still have to be performed.

[1]  E. Rogers,et al.  Diffusion of Innovations, 5th Edition , 2003 .

[2]  M. Wensing,et al.  Information exchange networks for chronic illness care in primary care practices: an observational study , 2010, Implementation science : IS.

[3]  E. Rogers,et al.  Diffusion of Innovations , 1964 .

[4]  Valdis E. Krebs,et al.  Mapping Networks of Terrorist Cells , 2001 .

[5]  Keri K. Stephens,et al.  Rogers' diffusion of innovations , 2008 .

[6]  Elena Parmelli,et al.  Local opinion leaders: effects on professional practice and health care outcomes. , 2011, The Cochrane database of systematic reviews.

[7]  T. Valente,et al.  Identifying Opinion Leaders to Promote Behavior Change , 2007, Health education & behavior : the official publication of the Society for Public Health Education.

[8]  Frank Sullivan,et al.  Is the involvement of opinion leaders in the implementation of research findings a feasible strategy? , 2006, Implementation science : IS.

[9]  E. Eng,et al.  Increasing use of mammography among older, rural African American women: results from a community trial. , 2002, American journal of public health.

[10]  J. Dearing Applying Diffusion of Innovation Theory to Intervention Development , 2009, Research on social work practice.

[11]  H. Pollack,et al.  Social marginalization of overweight children. , 2003, Archives of pediatrics & adolescent medicine.

[12]  Steve Hanney,et al.  Assessing the benefits of health research: lessons from research into the use of antenatal corticosteroids for the prevention of neonatal respiratory distress syndrome. , 2005, Social science & medicine.

[13]  Jane M. Young,et al.  Audit and feedback: effects on professional practice and healthcare outcomes. , 2012, The Cochrane database of systematic reviews.

[14]  N. Christakis,et al.  Dynamic spread of happiness in a large social network: longitudinal analysis over 20 years in the Framingham Heart Study , 2008, BMJ : British Medical Journal.

[15]  P. Hedström,et al.  Interaction Domains and Suicide: A Population-based Panel Study of Suicides in Stockholm, 1991-1999 , 2008 .

[16]  Eugene Vayda,et al.  Opinion leaders vs audit and feedback to implement practice guidelines. Delivery after previous cesarean section. , 1991, JAMA.

[17]  J. Grimshaw,et al.  Knowledge translation of research findings , 2012, Implementation Science.

[18]  Vladimir Batagelj,et al.  Pajek - Program for Large Network Analysis , 1999 .

[19]  C. Beyrer,et al.  Preventive intervention to reduce sexually transmitted infections: a field trial in the Royal Thai Army. , 2000, Archives of internal medicine.

[20]  C. Hogstedt,et al.  The Swedish public health policy and the National Institute of Public Health. , 2004, Scandinavian journal of public health. Supplement.

[21]  F. Liljeros,et al.  Spatial Bridges and the Spread of Chlamydia: The Case of a County in Sweden , 2007, Sexually transmitted diseases.