Objective: The Mid-Level Management (MLM) training course provides managers of immunisation programmes with new, advanced skills in planning, management, monitoring and evaluation. An evaluation was conducted of the MLM training courses held between 2000 and 2004 in the African Region, in order to assess its effectiveness and impact, and its contribution to the management of the Extended Programme on Immunisation (EPI) at country level.
Methods: Evaluation methods included: a desk review of the MLM course reports, WHO/AFRO MLM modules and reference documents; interviews with MLM course participants, facilitators, supervisors, Ministry of Health officials and country-based partners; focus group discussions; and questionnaires.
Results: During 2000-2004, eleven MLM courses were held and 642 participants were trained. Of the 151 course participants interviewed, 85% rated the course as very useful and 15% as useful. Modules on new vaccines, immunisation safety, cold chain and vaccine management, communication and problem solving were most appreciated. According to supervisors, the MLM training has contributed to significant improvements in the performance of the staff after attending the MLM course. Using DTP3 as an indicator, immunisation coverage in the African Region increased from 49% in 1991 to 53% in 2001 and 69% in 2004.
Conclusions: The MLM training has increased the performance of the trained staff and therefore contributed to the improvement of EPI coverage in the African Region. However, MLM training remains a predominantly vertical event and should be harmonised with other health training programmes for various levels of the health system.
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http://dx.doi.org/10.4314/eajph.v7i1.64674 | DOI Listing |
World J Gastrointest Oncol
January 2025
Department of Hepatobiliary and Pancreaticosplenic Surgery, Jingzhou Hospital Affiliated to Yangtze University, Jingzhou 434100, Hubei Province, China.
Background: The liver, as the main target organ for hematogenous metastasis of colorectal cancer, early and accurate prediction of liver metastasis is crucial for the diagnosis and treatment of patients. Herein, this study aims to investigate the application value of a combined machine learning (ML) based model based on the multiparameter magnetic resonance imaging for prediction of rectal metachronous liver metastasis (MLM).
Aim: To investigate the efficacy of radiomics based on multiparametric magnetic resonance imaging images of preoperative first diagnosed rectal cancer in predicting MLM from rectal cancer.
Tunis Med
January 2025
Laboratory of viruses, vectors and hosts: LR20IPT10, Institut Pasteur de Tunis, University of Tunis El Manar, 13, Place Pasteur, 1002 Tunis Belvédère, Tunisia.
Since the World Health Organization declared the Coronavirus Disease 2019 (COVID-19) pandemic as an international concern of public health emergency in the early 2020, several strategies have been initiated in many countries to prevent healthcare services breakdown and collapse of healthcare structures. The most important strategy was the increased testing, diagnosis, isolation, contact tracing to identify, quarantine and test close contacts. In this context, finding a rapid, reliable and affordable tool for COVID-19 screening was the main challenge to address the pandemic.
View Article and Find Full Text PDFInt Forum Allergy Rhinol
January 2025
Department of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, California, USA.
Background: We developed and assessed the performance of a machine learning model (MLM) to identify, classify, and segment sinonasal masses based on endoscopic appearance.
Methods: A convolutional neural network-based model was constructed from nasal endoscopy images from patients evaluated at an otolaryngology center between 2013 and 2024. Images were classified into four groups: normal endoscopy, nasal polyps, benign, and malignant tumors.
J Am Board Fam Med
December 2024
From the Department of Family Medicine, University of Colorado School of Medicine, Aurora, Colorado (MLM); Department of Family Medicine, Indiana University School of Medicine, Indianapolis, IN (MS); Department of Family and Community Medicine, University of North Dakota School of Medicine and Health Sciences, Grand Forks, ND (DFS); Department of Family and Community Medicine, McGovern Medical School, University of Texas Houston, Houston, TX (NJR).
Primary care researchers are increasingly at the forefront of developing innovations and new research methods to address complex issues in health care, including multi-morbidity, social determinants of health, health equity, managing population health in clinical practice, patient satisfaction, and provider burnout. Research demonstrates that "primary care is the only health care component where an increased supply is associated with better population health and more equitable outcomes." As a primary care specialty, family medicine has evolved beyond its initial focus on clinical practice and education to realizing the imperative for the discipline to robustly engage in research and embrace the responsibility to generate the evidence that drives changes in primary care practice and policy.
View Article and Find Full Text PDFFront Plant Sci
November 2024
United States Department of Agriculture (USDA), Agricultural Research Service (ARS), U.S. Arid-Land Agricultural Research Center, Maricopa, AZ, United States.
Cotton ( L.) leaf chlorophyll (Chl) has been targeted as a phenotype for breeding selection to improve cotton tolerance to environmental stress. However, high-throughput phenotyping methods based on hyperspectral reflectance sensing are needed to rapidly screen cultivars for chlorophyll in the field.
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