TY - JOUR
T1 - Understanding epidemiologists who serve as preceptors
AU - Arrazola, Jessica
AU - Shah, Gulzar H.
AU - Jones, Jeffery A.
AU - Yin, Jingjing
AU - Harper, Elizabeth
N1 - Publisher Copyright:
© 2018 Elsevier Inc.
PY - 2018/4
Y1 - 2018/4
N2 - Purpose: This study describes factors associated with epidemiologists from state health departments (HDs) who served as preceptors. Methods: We used the 2014 Public Health Workforce Interests and Needs Survey, a national survey of state health agency workers, and selected those who identify their role in the organization as an epidemiologist and a state HD employee for analysis. Variables related to recruitment and retention were studied, and predictor variables were assessed. We applied statistical analysis of complex sampling design based on weights generated by the distribution of the epidemiologists. Logistic regression was used to determine factors that are significant predictors of preceptorship. Results: Significant factors of increased preceptorship included being black (adjusted odds ratios [AOR] = 3.98, 95% confidence interval [CI], 2.01–7.88), being a team leader (AOR = 2.09, 95% CI, 1.07–4.05), a supervisor (AOR = 2.75, 95% CI, 1.25–6.08), or a manager (AOR = 2.70, 95% CI, 1.15–6.34), and collaborating with academia (AOR = 3.11, 95% CI, 1.82–5.34). Conclusions: State HDs and academic institutions should collaborate to offer applied epidemiology practicum opportunities to (1) increase job satisfaction among applied epidemiologists and (2) prepare the incoming workforce to work in applied epidemiology.
AB - Purpose: This study describes factors associated with epidemiologists from state health departments (HDs) who served as preceptors. Methods: We used the 2014 Public Health Workforce Interests and Needs Survey, a national survey of state health agency workers, and selected those who identify their role in the organization as an epidemiologist and a state HD employee for analysis. Variables related to recruitment and retention were studied, and predictor variables were assessed. We applied statistical analysis of complex sampling design based on weights generated by the distribution of the epidemiologists. Logistic regression was used to determine factors that are significant predictors of preceptorship. Results: Significant factors of increased preceptorship included being black (adjusted odds ratios [AOR] = 3.98, 95% confidence interval [CI], 2.01–7.88), being a team leader (AOR = 2.09, 95% CI, 1.07–4.05), a supervisor (AOR = 2.75, 95% CI, 1.25–6.08), or a manager (AOR = 2.70, 95% CI, 1.15–6.34), and collaborating with academia (AOR = 3.11, 95% CI, 1.82–5.34). Conclusions: State HDs and academic institutions should collaborate to offer applied epidemiology practicum opportunities to (1) increase job satisfaction among applied epidemiologists and (2) prepare the incoming workforce to work in applied epidemiology.
KW - Epidemiology
KW - Practicum
KW - Preceptorship
KW - Public health
KW - Workforce development
UR - http://www.scopus.com/inward/record.url?scp=85042018492&partnerID=8YFLogxK
U2 - 10.1016/j.annepidem.2018.01.013
DO - 10.1016/j.annepidem.2018.01.013
M3 - Article
SN - 1047-2797
VL - 28
SP - 258
EP - 263
JO - Annals of Epidemiology
JF - Annals of Epidemiology
IS - 4
ER -