Job Satisfaction and Expected Turnover Among Federal, State, and Local Public Health Practitioners

Bibliographic Data

ID11032301
AuthorsJonathon P Leider (0000-0001-9905-476X, At the time of the study, Jonathon P. Leider and Brian C. Castrucci were with the de Beaumont Foundation, Bethesda MD. Elizabeth Harper and Katie Sellers were with the Association of State and Territorial Health Officials, Arlington, VA. Ji Won Shon was with the Department of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD.), C M Studness (corresponding author), Elizabeth Harper (0000-0003-4251-212X, At the time of the study, Jonathon P. Leider and Brian C. Castrucci were with the de Beaumont Foundation, Bethesda MD. Elizabeth Harper and Katie Sellers were with the Association of State and Territorial Health Officials, Arlington, VA. Ji Won Shon was with the Department of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD.), Ji Won Shon (At the time of the study, Jonathon P. Leider and Brian C. Castrucci were with the de Beaumont Foundation, Bethesda MD. Elizabeth Harper and Katie Sellers were with the Association of State and Territorial Health Officials, Arlington, VA. Ji Won Shon was with the Department of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD.), Katie Sellers (At the time of the study, Jonathon P. Leider and Brian C. Castrucci were with the de Beaumont Foundation, Bethesda MD. Elizabeth Harper and Katie Sellers were with the Association of State and Territorial Health Officials, Arlington, VA. Ji Won Shon was with the Department of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD.), Brian C Castrucci (0000-0002-4117-2832, At the time of the study, Jonathon P. Leider and Brian C. Castrucci were with the de Beaumont Foundation, Bethesda MD. Elizabeth Harper and Katie Sellers were with the Association of State and Territorial Health Officials, Arlington, VA. Ji Won Shon was with the Department of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD.)
Year2016
Volume106
Issue10
Pages1782-1788
Publication date2016-10-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueAmerican Journal of Public Health (JOURNAL)
Journal identifiersISSN: 0090-0036 • E-ISSN: 1541-0048
PublisherAmerican Public Health Association (PUBLISHER • US)
DOI10.2105/ajph.2016.303305
OpenAlexW27552269
LanguageEN
Citations received16
References cited23

Objectives. To use data on the governmental public health workforce to examine demographics and elucidate drivers of job satisfaction and intent to leave one’s organization. Methods. Using microdata from the 2014 Federal Employee Viewpoint Survey and 2014 Public Health Workforce Interests and Needs Survey, we drew comparisons between federal, state, and local public health staff. We fitted logistic regressions to examine correlates of both job satisfaction and intent to leave one’s organization within the coming year. Results. Correlates of job satisfaction included pay satisfaction, organizational support, and employee involvement. Approximately 40% of federal, state, and local staff said they were either considering leaving their organization in the next year or were planning to retire by 2020. Conclusions. Public health practitioners largely like their jobs, but many are dissatisfied with their pay and are considering working elsewhere. More should be done to understand the determinants of job satisfaction and how to successfully retain high-quality staff. Public Health Implications. Public health is at a crossroads. Significant turnover is expected in the coming years. Retention efforts should engage staff across all levels of public health

Actuarial science · Business · Economics · Law and economics · Management · Political science · Supreme court · Computer Science · Law · Property Rights and Legal Doctrine · Underground infrastructure and sustainability · Water Systems and Optimization

Tools

Open DOISci-Hub