Objective: To compare nurse and non-nurse lead executives' relationship with organizational characteristics supporting performance and health equity in local health departments (LHD).
Design: This was a cross-sectional quantitative study.
Sample: The final national sample consisted of 1447 LHDs using the 2019 Profile of Local Health Departments survey.
Measurements: We used multivariable logistic and negative binomial regression analyses to explore the relationship between nurse versus non-nurse LHD lead executives and involvement in ten organizational characteristics including community health assessment (CHA) and community health improvement plan (CHIP) completion and policy activities related to the social determinants of health (SDOH).
Results: Multivariable logistic regression models showed that, for nurse lead executives, the odds of having completed a CHA is 1.49 times, and the odds of having completed a CHIP is 1.56 times, that of non-nurse lead executives. Negative binomial regression models predicted nurse lead executives, compared to non-nurses, to perform 1.18 times more SDOH-related policy activities.
Conclusion: Results suggest that nurse lead executives are more likely than non-nurses to emphasize assessment in their work and engage in upstream-focused policy activities. As such, they are important partners in work to facilitate health equity.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1111/phn.13109 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Geographical equity in Ethiopian infant feeding practices: a secondary analysis of a birth cohort study.
BMJ Open
January 2025
Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Objectives: To assess the geographical equity in Ethiopian infants' exclusive breastfeeding at 5 months and dietary diversity at 12 months and whether social factors explained the spatial inequities.
Design: Secondary analysis of a birth cohort study.
Setting: Analysis of data from the Ethiopian Performance Monitoring for Action panel study conducted from July 2020 to August 2021 in five regions (ie, Oromia, Amhara, Afar and Southern Nations, Nationalities and Peoples regions and the Addis Ababa City administration).
Basic Science and Pathogenesis.
Alzheimers Dement
December 2024
Department of Genetics and Genomics, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India.
Background: Stroke, a cerebrovascular condition, and neurodegenerative diseases (ND) like Dementia, Multiple sclerosis, Parkinson's Disease, Amyotrophic Lateral Sclerosis are major types of neurological disorders, which are associated with increasing global morbidity and mortality burden. But to what extent shared genetic architecture is involved between stroke and ND is unknown.
Method: We investigated shared genetics between stroke (10 subtypes) and ND (6 diseases) using large scale Genome-Wide Association Study (GWAS) summary statistics data for Cross-Ancestry, European and South Asian samples including Indians.
Clinical Manifestations.
Alzheimers Dement
December 2024
University of Pennsylvania, Philadelphia, PA, USA.
Background: Tau pathology is closely related to cognitive decline in Alzheimer's disease (AD). Neurodegeneration is the putative mechanism by which tau leads to cognitive deficits. However, there is limited work on the associations between tau, neurodegeneration, and specific cognitive domains.
View Article and Find Full Text PDFClinical Manifestations.
Alzheimers Dement
December 2024
Sanatorio de la Trinidad Mitre, Buenos Aires, Argentina.
Background: Dural arteriovenous fistulas (DAVFs) are abnormal communications between dural arteries and cortical, meningeal, or dural sinus veins. They represent 10-15% of intracranial arteriovenous malformations. In rare cases, they have been associated with potentially reversible cognitive impairment and dementia.
View Article and Find Full Text PDFClinical Manifestations.
Alzheimers Dement
December 2024
Emory University School of Medicine, Atlanta, GA, USA.
Background: African Americans (AA) are disproportionately affected by Long COVID, highlighting the need for targeted research to understand the enduring consequences of COVID-19 within this community. Among the array of symptoms associated with post-acute sequelae of SARS-CoV-2 (PASC), cognitive impairments emerge as a significant concern affecting up to 19% of COVID survivors. In this study, our goal is to comprehensively characterize the specific cognitive domains impacted in older AA adults.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!