Objective: To assess healthcare workers' (HCWs) confidence level in diagnosing and managing mpox disease and its associated factors in hospitals in the Amhara Region.

Design: Institution-based cross-sectional study.

Setting: Hospitals in the Amhara Region, Northwest Ethiopia.

Participants: A total of 640 HCWs, with a response rate of 96.9%, participated from 1 October to 30 December 2022. A multistage stratified random sampling technique with proportional allocation was used to recruit study participants. Data were collected using the KoboCollect toolbox and exported to STATA V.17 for analysis. Descriptive statistics were used to describe data. Ordinal logistic regression analysis was used to identify predictors of confidence level to diagnose and manage mpox at p<0.05.

Primary Outcome: HCWs' confidence level in diagnosing and managing mpox disease and its associated factors.

Results: The overall proportion of HCWs who had high confidence level in diagnosing and managing mpox disease was found to be 31.5% (95% CI: 27.9%, 35.2%). Similarly, 26.8% (95% CI: 23.2%, 30.3%) and 41.8% (95% CI: 38.1%, 45.4%) of HCWs expressed medium and low confidence level to diagnose and manage the disease, respectively. The odds of higher confidence versus lower or medium confidence level in diagnosing and managing mpox were greater for HCWs who regularly visit amenable websites (adjusted OR (AOR)=1.59, 95% CI: 1.16, 2.2), were physicians (AOR=1.9, 95% CI: 1.32, 2.73), were aged 30-35 years old (AOR=1.64, 95% CI: 1.12, 2.39), had got public health emergency epidemic disease management training (AOR=2.8, 95% CI: 1.94, 4.04) and had positive attitudes (AOR=1.72, 95% CI: 1.26, 2.36) compared with their counterparts.

Conclusion: The overall confidence level of HCWs in diagnosing and managing mpox disease in the study area was low. Therefore, the HCWs should be regularly updated about mpox disease through morning sessions and training in the diagnosis and clinical management of mpox disease including infection prevention and control.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11227793PMC
http://dx.doi.org/10.1136/bmjopen-2023-080791DOI Listing

Publication Analysis

Top Keywords

confidence level
12
hospitals amhara
12
healthcare workers'
8
level diagnosing
8
diagnosing managing
8
amhara region
8
region northwest
8
institution-based cross-sectional
8
assessing healthcare
4
workers' confidence
4

Similar Publications

Comprehensive data on the epidemiology of cancer-related thrombosis in Africa has been sparse until recently. Thus, this review was aimed to investigate the magnitude of cancer-related thrombosis in Africa. To obtain key articles, comprehensive search was conducted using various databases.

View Article and Find Full Text PDF

Investigating BoLA Class II DRB3*009:02 carrying cattle in Japan.

Vet Anim Sci

March 2025

Veterinary Virology, School of Veterinary Medicine, Rakuno Gakuen University, 582 Midorimachi Bunkyodai, Ebetsu, Hokkaido, 0698501, Japan.

Enzootic bovine leukosis (EBL) is a malignant lymphoma of cattle that is mainly caused by bovine leukemia virus (BLV) infection. In this study, PCR-RFLP was used to investigate the frequency of the DRB3*009:02 allele in several farms with different herd management practices in Japan. A total of 742 Holsteins (384) and Japanese Blacks (230) were used as the sample size for the study, which was larger than the number of cattle in the study area with a confidence level of 95 % and a margin of error of 8.

View Article and Find Full Text PDF

This study evaluates three Machine Learning (ML) models-Temporal Kolmogorov-Arnold Networks (TKAN), Long Short-Term Memory (LSTM), and Temporal Convolutional Networks (TCN)-focusing on their capabilities to improve prediction accuracy and efficiency in streamflow forecasting. We adopt a data-centric approach, utilizing large, validated datasets to train the models, and apply SHapley Additive exPlanations (SHAP) to enhance the interpretability and reliability of the ML models. The results show that TKAN outperforms LSTM but slightly lags behind TCN in streamflow forecasting.

View Article and Find Full Text PDF

Objective: Waist circumference measurement is commonly used as a method for predicting the visceral fat area. However, waist circumference is difficult to measure, and there is a large margin of error between measurements. Visceral fat is adipose tissue that accumulates in the abdominal cavity, and when it accumulates in excess, abdominal computed tomography reveals a prominent protrusion of the anterior-posterior diameter of the abdomen in a coronal section at the umbilicus level.

View Article and Find Full Text PDF

Prognostic factors for disease progression of central high-grade conventional osteosarcoma of the appendicular skeleton: Single-centre experience within South Africa with minimum 3-year follow-up.

J Orthop

July 2025

Head of School, Sepsis, and Limb Reconstruction, Nelson Mandela School of Clinical Medicine, College of Health Sciences, University of KwaZulu-Natal, 719 Umbilo Road, 4001, Durban, South Africa.

Background: Disease progression (DP) of osteosarcomas, albeit with aggressive treatments, hinders improving survival. The DP patterns are unique in low- and middle-income countries like South Africa. We determine the prognostic factors associated with disease progression (DP) of the appendicular skeleton's central high-grade conventional osteosarcoma (COS).

View Article and Find Full Text PDF

Want 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!