TY - JOUR
T1 - Mapping the growing discipline of dissemination and implementation science in health
AU - Norton, Wynne E.
AU - Lungeanu, Alina
AU - Chambers, David A.
AU - Contractor, Noshir
N1 - Funding Information:
The authors would like to thank everyone who completed the survey and the D&I researchers who graciously donated their time for a 1-h consultation as part of the raffle drawing for participant incentives. Preparation of this manuscript is supported in part by NIH 5U01GM112623-02. Data collection and analysis was supported in part by discretionary funds provided by UAB to WEN. NSC is the co-founder and Chairman of Syndio. WEN, AL and DAC have no competing interests.
Publisher Copyright:
© 2017, Akadémiai Kiadó, Budapest, Hungary.
PY - 2017/9/1
Y1 - 2017/9/1
N2 - The field of dissemination and implementation (D&I) research in health has grown considerably in the past decade. Despite the potential for advancing the science, limited research has focused on mapping the field. We administered an online survey to individuals in the D&I field to assess participants’ demographics and expertise, as well as engagement with journals and conferences, publications, and grants. A combined roster-nomination method was used to collect data on participants’ advice networks and collaboration networks; participants’ motivations for choosing collaborators was also assessed. Frequency and descriptive statistics were used to characterize the overall sample; network metrics were used to characterize both networks. Among a sub-sample of respondents who were researchers, regression analyses identified predictors of two metrics of academic performance (i.e., publications and funded grants). A total of 421 individuals completed the survey, representing a 30.75% response rate of eligible individuals. Most participants were White (n = 343), female (n = 284, 67.4%), and identified as a researcher (n = 340, 81%). Both the advice and the collaboration networks displayed characteristics of a small world network. The most important motivations for selecting collaborators were aligned with advancing the science (i.e., prior collaborators, strong reputation, and good collaborators) rather than relying on human proclivities for homophily, proximity, and friendship. Among a sub-sample of 295 researchers, expertise (individual predictor), status (advice network), and connectedness (collaboration network) were significant predictors of both metrics of academic performance. Network-based interventions can enhance collaboration and productivity; future research is needed to leverage these data to advance the field.
AB - The field of dissemination and implementation (D&I) research in health has grown considerably in the past decade. Despite the potential for advancing the science, limited research has focused on mapping the field. We administered an online survey to individuals in the D&I field to assess participants’ demographics and expertise, as well as engagement with journals and conferences, publications, and grants. A combined roster-nomination method was used to collect data on participants’ advice networks and collaboration networks; participants’ motivations for choosing collaborators was also assessed. Frequency and descriptive statistics were used to characterize the overall sample; network metrics were used to characterize both networks. Among a sub-sample of respondents who were researchers, regression analyses identified predictors of two metrics of academic performance (i.e., publications and funded grants). A total of 421 individuals completed the survey, representing a 30.75% response rate of eligible individuals. Most participants were White (n = 343), female (n = 284, 67.4%), and identified as a researcher (n = 340, 81%). Both the advice and the collaboration networks displayed characteristics of a small world network. The most important motivations for selecting collaborators were aligned with advancing the science (i.e., prior collaborators, strong reputation, and good collaborators) rather than relying on human proclivities for homophily, proximity, and friendship. Among a sub-sample of 295 researchers, expertise (individual predictor), status (advice network), and connectedness (collaboration network) were significant predictors of both metrics of academic performance. Network-based interventions can enhance collaboration and productivity; future research is needed to leverage these data to advance the field.
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U2 - 10.1007/s11192-017-2455-2
DO - 10.1007/s11192-017-2455-2
M3 - Article
C2 - 29249842
AN - SCOPUS:85023209660
SN - 0138-9130
VL - 112
SP - 1367
EP - 1390
JO - Scientometrics
JF - Scientometrics
IS - 3
ER -