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Training needs in data, informatics and technical skills in the US governmental public health workforce
Sripriya Rajamani1,2,3, Divya Rupini Gunashekar2, Umesh Ghimire4
1School of Nursing, University of Minnesota, Minneapolis, MN, United States.
Introduction:
A workforce with data and technology skills is vital to support digital transformation in public health (PH). Using US-based 2024 Public Health Workforce Interests and Needs Survey (PH WINS) national survey data, this study examined informatics/data skills gaps and training needs of governmental PH workers.
Methods:
2024 PH WINS included data from 48 state health agencies-central office (SHA-CO), 34 large local health departments (LHD) from Big Cities Health Coalition (BCHC), and 1,144 other LHDs. Analysis focused on non-supervisory Tier 1 respondents, their education and position. PH workforce classifications (N = 77) were grouped into five categories. Training needs defined as discordance between job importance and skill need (high importance/low skill). Gaps were assessed for six data/informatics-related questions using SAS v9.4, along with time and resource needs.
Results:
Of 56,595 respondents, 72% (N = 40,914) worked in Tier 1 roles. Across three PH settings, half (45-54%) had BS/MS/PhD degrees, but not in public health. Half (50-52%) worked for 0-5 years in current position; one-third had 0-5 years in PH practice. Data/informatics-related roles reported least technical skill gaps across all settings: SHA-CO (8.1%), BCHC (6.9%) and LHD (8.1%). For addressing training needs, nurses self-reported most need for time, and data/informatics roles indicated high resource needs (22% BCHC; 20% LHDs). Analysis showed significant skills gaps (p < 0.05) in SHA-CO for all the six data/informatics topics.
Discussion:
Results highlight a widespread training need in incumbent PH workforce to address the data-related/technical skills gaps. Multi-pronged training approaches are critical to building a data and informatics-savvy PH workforce.
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