Dataset Information

Determinants of workplace perceptions among federal, state, and local public health staff in the US, 2014 to 2017.

ABSTRACT:

Background

The governmental public health workforce in the United States comprises almost 300,000 staff at federal, state, and local levels. The workforce is poised for generational change, experiencing significant levels of retirement. However, intent to leave for other reasons is also substantial, and diversity is lacking in the workforce.

Methods

Workforce perception data from 76,000 staff from Health and Human Services (HHS) including 14,000 from the Centers for Disease Control and Prevention were analyzed across 2014 and 2017. Additionally, data from 32,000 state and local health department staff in 46 agencies reporting in both years. Estimates were constructed accounting for survey design and non-response.

Results

In 2017, women made up 43% of the total US government workforce and 33% of supervisors or higher, compared to 73 and 68% generally in State Health Agencies (p < .0001); and 62% vs 52% in HHS (p < .0001). Among state staff, intent to leave increased from 22 to 31% (p < .0001), but fell in 2017 from 33 to 28% for HHS (p < .0001). Correlates of intent to leave included low job satisfaction, pay satisfaction, and agency type. Federal entities saw the highest proportion respondents that indicated they would recommend their organization as a good place to work.

Conclusions

While intent to leave fell at federal agencies from 2014 to 2017, it increased among staff in state and local health departments. Additionally, while public health is more diverse than the US government overall, significant underrepresentation is observed in supervisory positions for staff of color, especially women.

SUBMITTER: Leider JP

PROVIDER: S-EPMC8431955 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:BackgroundUS public health authorities use syndromic surveillance to monitor and detect public health threats, conditions, and trends in near real-time. Nearly all US jurisdictions that conduct syndromic surveillance send their data to the National Syndromic Surveillance Program (NSSP), operated by the US. Centers for Disease Control and Prevention. However, current data sharing agreements limit federal access to state and local NSSP data to only multi-state regional aggregations. This limitation was a significant challenge for the national response to COVID-19. This study seeks to understand state and local epidemiologists' views on increased federal access to state NSSP data and identify policy opportunities for public health data modernization.MethodsIn September 2021, we used a virtual, modified nominal group technique with twenty regionally diverse epidemiologists in leadership positions and three individuals representing national public health organizations. Participants individually generated ideas on benefits, concerns, and policy opportunities relating to increased federal access to state and local NSSP data. In small groups, participants clarified and grouped the ideas into broader themes with the assistance of the research team. An web-based survey was used to evaluate and rank the themes using five-point Likert importance questions, top-3 ranking questions, and open-ended response questions.ResultsParticipants identified five benefit themes for increased federal access to jurisdictional NSSP data, with the most important being improved cross-jurisdiction collaboration (mean Likert = 4.53) and surveillance practice (4.07). Participants identified nine concern themes, with the most important concerns being federal actors using jurisdictional data without notice (4.60) and misinterpretation of data (4.53). Participants identified eleven policy opportunities, with the most important being involving state and local partners in analysis (4.93) and developing communication protocols (4.53).ConclusionThese findings identify barriers and opportunities to federal-state-local collaboration critical to current data modernization efforts. Syndromic surveillance considerations warrant data-sharing caution. However, identified policy opportunities share congruence with existing legal agreements, suggesting that syndromic partners are closer to agreement than they might realize. Moreover, several policy opportunities (i.e., including state and local partners in data analysis and developing communication protocols) received consensus support and provide a promising path forward.