A Multilevel Workforce Study on Drivers of Turnover and Training Needs in State Health Departments: Do Leadership and Staff Agree?

A Multilevel Workforce Study on Drivers of Turnover and Training Needs in State Health Departments: Do Leadership and Staff Agree?

Leider, Jonathon P;Coronado, Fátima;Bogaert, Kyle;Sellers, Katie;
journal of public health management and practice : jphmp 2020
401
leider2020ajournal

Abstract

To characterize agreement between senior governmental public health staff and their subordinates concerning drivers for staff turnover, and skill importance and ability.Data were combined from 2 national surveys conducted in 2017; one was a nationally representative, individual-level survey of public health workers, and one was an individual-level survey of their leadership.State health agencies.Respondents who held scientific, nonsupervisory positions at state health agency central offices (n = 3606) were matched with leadership (n = 193) who provided programmatic area oversight.Drivers of turnover and training needs are the primary outcomes examined in this article.Leaders and their staff agreed on the main 2 drivers of turnover (low salary and lack of opportunities for advancement), but discordance was observed for other major drivers of turnover. Substantial discordance was observed between leaders and their staff in terms of perceived staff proficiency with selected skills.This multilevel assessment of workplace perceptions offers evidence around training needs and drivers of turnover in state health agencies. Although staff and leaders agree on some major drivers of turnover, other potential reasons for leaving cited by staff, and the difference in perceptions of skills, can help target job satisfaction, training, and retention efforts in state health agencies.

Citation

ID: 89610
Ref Key: leider2020ajournal
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
89610
Unique Identifier:
10.1097/PHH.0000000000001082
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet