Evidence map›Paper›PMID 30720615›Full record

ArticleJournal of public health management and practice : JPHMP

The First Nationally Representative Benchmark of the Local Governmental Public Health Workforce: Findings From the 2017 Public Health Workforce Interests and Needs Survey.

Nathalie Robin, Brian C Castrucci, Meghan D McGinty, Ashley Edmiston, Kyle Bogaert

Open access · hybridAbstract read
In one paragraph

Article in Journal of public health management and practice : JPHMP. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
8.1field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Reasons for Turnover of Kansas Public Health Officials during the COVID-19 Pandemic.International journal of environmental research and public health · 2022
    Article
  7. Article
  8. Perceptions of Barriers: An Examination of Public Health Practice in Kansas.International journal of environmental research and public health · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Master's-Level Education in the Governmental Public Health Workforce.Public health reports (Washington, D.C. : 1974)
    Article
  16. Article
  17. Understanding the Dynamics of Diversity in the Public Health Workforce.Journal of public health management and practice : JPHMP
    Article
  18. Article
  19. Article
  20. Rising to Meet the Moment: What Does the Public Health Workforce Need to Modernize?Journal of public health management and practice : JPHMP
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Nathalie RobinNational Association of County & City Health Officials, Washington, District of Columbia (Ms Robin, Dr McGinty, and Ms Edmiston); de Beaumont Foundation, Bethesda, Maryland (Dr Castrucci); and Association of State and Territorial Health Officials, Arlington, Virginia (Ms Bogaert).
Brian C Castrucci
Meghan D McGinty
Ashley Edmiston
Kyle Bogaert
National Association of County and City Health Officials · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextA changing public health landscape requires local governmental health departments (LHDs) to have a workforce prepared to meet complex challenges. While previous assessments looked at organizational data on the LHD workforce, the Public Health Workforce Interests and Needs Survey (PH WINS) is the first nationally representative survey to examine individual perceptions of training needs, workplace environment, job satisfaction, and awareness of emerging concepts in public health.

objectivesCharacterize key interests and needs of the local governmental public health workforce.

designSurvey invitations were sent to individual LHD employees on the basis of a stratified sampling approach. The LHDs had to employ a minimum of 25 staff and serve a population of 25 000 or greater to be eligible for inclusion.

setting399 LHDs across the United States.

participantsA total of 26 533 LHD employees completed the survey (59% response rate).

resultsThe majority of local public health workers are female (81%, 95% confidence interval [CI]: 78%-84%) and white non-Hispanic (68%, 95% CI: 64%-72%). Of the nearly quarter of workers who declared an intent to leave within the next year excluding retirement (22%, 95% CI: 19%-25%), the most common reasons included pay (46%, 95% CI: 42%-50%), lack of opportunities for advancement (40%, 95% CI: 38%-50%), and workplace environment (30%, 95% CI: 27%-32%). Across jurisdiction size and supervisory level, skills gaps were noted in budget and financial management, systems and strategic thinking, developing a vision for a healthy community, and change management.

conclusionsAs the first nationally representative sample of the local governmental public health workforce, these data create a national benchmark against which LHDs can measure their workforce. Given the similarities found across LHDs serving different jurisdiction sizes, a unified approach to workforce development should be employed across all LHDs. The LHD leadership should address retention, reward creativity and innovation, improve communication between leadership and employees, and provide opportunities for advancement.

Indexed as

Local GovernmentAdultAgedFemaleHumansIntentionMaleMiddle AgedNeeds AssessmentPublic HealthStaff DevelopmentSurveys and QuestionnairesUnited StatesWorkforceWorkplace

Identifiers

PMID30720615
PMCPMC6519887
OpenAlexW2912004578

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.