TY - JOUR
T1 - Organizational Supports for Research Evidence Use in State Public Health Agencies
T2 - A Latent Class Analysis
AU - Hu, Hengrui
AU - Allen, Peg
AU - Yan, Yan
AU - Reis, Rodrigo S.
AU - Jacob, Rebekah R.
AU - Brownson, Ross C.
N1 - Funding Information:
This work was supported by the National Cancer Institute of the National Institutes of Health (NIH) [R01CA160327]. The research presented in this article is that of the authors and does not reflect the official policy of the NIH. The authors appreciate the collaboration of the 12 state health department chronic disease directors and staff and partner survey participation. The input of consultants Leslie Best and Ellen Jones throughout the project is appreciated, as is the survey development input from Jenine Harris, Sonia Sequeira, and consultants Elizabeth A. Baker, Maureen Dobbins, Jon F. Kerner, and Katherine A. Stamatakis. Adriano Akira Ferreira Hino analyzed the test-retest reliability data. Lindsay Elliott, Alicia Manteiga, Amanda Burgess, Anna deRuyter, and Meenakshi Lakshman helped with data collection and reports.
Publisher Copyright:
© 2018 Wolters Kluwer Health, Inc.
PY - 2019/7/1
Y1 - 2019/7/1
N2 - Objective: Use of research evidence in public health decision making can be affected by organizational supports. Study objectives are to identify patterns of organizational supports and explore associations with research evidence use for job tasks among public health practitioners. Design: In this longitudinal study, we used latent class analysis to identify organizational support patterns, followed by mixed logistic regression analysis to quantify associations with research evidence use. Setting: The setting included 12 state public health department chronic disease prevention units and their external partnering organizations involved in chronic disease prevention. Participants: Chronic disease prevention staff from 12 US state public health departments and partnering organizations completed self-report surveys at 2 time points, in 2014 and 2016 (N = 872). Main Outcome Measures: Latent class analysis was employed to identify subgroups of survey participants with distinct patterns of perceived organizational supports. Two classify-analyze approaches (maximum probability assignment and multiple pseudo-class draws) were used in 2017 to investigate the association between latent class membership and research evidence use. Results: The optimal model identified 4 latent classes, labeled as "unsupportive workplace," "low agency leadership support," "high agency leadership support," and "supportive workplace." With maximum probability assignment, participants in "high agency leadership support" (odds ratio = 2.08; 95% CI, 1.35-3.23) and "supportive workplace" (odds ratio = 1.74; 95% CI, 1.10-2.74) were more likely to use research evidence in job tasks than "unsupportive workplace." The multiple pseudo-class draws produced comparable results with odds ratio = 2.09 (95% CI, 1.31-3.30) for "high agency leadership support" and odds ratio = 1.74 (95% CI, 1.07-2.82) for "supportive workplace." Conclusions: Findings suggest that leadership support may be a crucial element of organizational supports to encourage research evidence use. Organizational supports such as supervisory expectations, access to evidence, and participatory decision making may need leadership support as well to improve research evidence use in public health job tasks.
AB - Objective: Use of research evidence in public health decision making can be affected by organizational supports. Study objectives are to identify patterns of organizational supports and explore associations with research evidence use for job tasks among public health practitioners. Design: In this longitudinal study, we used latent class analysis to identify organizational support patterns, followed by mixed logistic regression analysis to quantify associations with research evidence use. Setting: The setting included 12 state public health department chronic disease prevention units and their external partnering organizations involved in chronic disease prevention. Participants: Chronic disease prevention staff from 12 US state public health departments and partnering organizations completed self-report surveys at 2 time points, in 2014 and 2016 (N = 872). Main Outcome Measures: Latent class analysis was employed to identify subgroups of survey participants with distinct patterns of perceived organizational supports. Two classify-analyze approaches (maximum probability assignment and multiple pseudo-class draws) were used in 2017 to investigate the association between latent class membership and research evidence use. Results: The optimal model identified 4 latent classes, labeled as "unsupportive workplace," "low agency leadership support," "high agency leadership support," and "supportive workplace." With maximum probability assignment, participants in "high agency leadership support" (odds ratio = 2.08; 95% CI, 1.35-3.23) and "supportive workplace" (odds ratio = 1.74; 95% CI, 1.10-2.74) were more likely to use research evidence in job tasks than "unsupportive workplace." The multiple pseudo-class draws produced comparable results with odds ratio = 2.09 (95% CI, 1.31-3.30) for "high agency leadership support" and odds ratio = 1.74 (95% CI, 1.07-2.82) for "supportive workplace." Conclusions: Findings suggest that leadership support may be a crucial element of organizational supports to encourage research evidence use. Organizational supports such as supervisory expectations, access to evidence, and participatory decision making may need leadership support as well to improve research evidence use in public health job tasks.
KW - evidence-based practice
KW - knowledge management
KW - organization and administration
UR - http://www.scopus.com/inward/record.url?scp=85060993739&partnerID=8YFLogxK
U2 - 10.1097/PHH.0000000000000821
DO - 10.1097/PHH.0000000000000821
M3 - Article
C2 - 31136511
AN - SCOPUS:85060993739
SN - 1078-4659
VL - 25
SP - 373
EP - 381
JO - Journal of Public Health Management and Practice
JF - Journal of Public Health Management and Practice
IS - 4
ER -