ArticleJournal of primary care & community health
Determinants of Workforce Preparedness during Pandemics Among Healthcare Workers at the U.S. Department of Veterans Affairs.
Article in Journal of primary care & community health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed, 5 citations in OpenAlex.
- Analysis of hospital resilience in public health emergencies using structural equation modeling: based on risk perception, resource preparedness, and team collaboration.Frontiers in public health · 2026Observational
- Improving Nursing Home Disaster Readiness Through Implementation Science.Journal of the American Medical Directors Association · 2024Article
- Review
- Disaster Preparedness Training Needs of Healthcare Workers at the US Department of Veterans Affairs.Southern medical journal · 2022Article
- Responding to COVID-19 While Serving Veterans Experiencing Homelessness: The Pandemic Experiences of Healthcare and Housing Providers.Journal of primary care & community healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveAn infectious disease outbreak can place a significant burden on healthcare systems, however, our understanding of the broader healthcare workforce's preparedness during a pandemic is limited. This study examines factors that influence perceived workforce preparedness at the U.S. Department of Veterans Affairs (VA) during a pandemic.
methodsThe VA Preparedness Survey was a random, anonymous, web-based survey fielded nationwide October to December 2018. Multivariate statistical analyses examined the effects of study relevant factors (sociodemographic, work-related, general health, and household-related characteristics of VA employees) on perceptions of workforce preparedness, including institutional readiness and understanding of individual roles during a pandemic.
resultsFour thousand and twenty-six VA employees responded. Overall, 55% were confident in their VA medical facility's ability to respond; 49% understood their role; and 68% reported their role to be important during a pandemic. After controlling for study-relevant factors, household preparedness, having plans that address the health care needs of family members, and higher self-reported health status were associated with all 3 workforce preparedness variables. Clinical staff (compared to non-clinical staff) were
conclusionThe findings from this study suggest the need for identifying ways to increase VA employees' confidence in their medical facility's ability to respond to a pandemic; develop trainings to improve understanding of their different yet critical roles, for both clinical and non-clinical staff, during a pandemic; create different workforce trainings for newly hired employees; and identify ways to improve household preparedness for a pandemic outbreak.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.