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Background: Tuberculosis is a top-10 cause of under-5 mortality, despite policies promoting tuberculosis preventive therapy (TPT). We previously conducted a cluster randomized trial to evaluate the effectiveness of symptom-based versus tuberculin skin-based screening on child TPT uptake. Symptom-based screening did not improve TPT uptake and nearly two-thirds of child contacts were not identified or not linked to care. Here we qualitatively explored healthcare provider perceptions of factors that impacted TPT uptake among child contacts.
Methods: Sixteen in-depth interviews were conducted with key informants including healthcare providers and administrators who participated in the trial in Matlosana, South Africa. The participants' experience with symptom-based screening, study implementation strategies, and ongoing challenges with child contact identification and linkage to care were explored. Interviews were systematically coded and thematic content analysis was conducted.
Results: Participants' had mixed opinions about symptom-based screening and high acceptability of the study implementation strategies. A key barrier to optimizing child contact screening and evaluation was the supervision and training of community health workers.
Conclusions: Symptom screening is a simple and effective strategy to evaluate child contacts, but additional pediatric training is needed to provide comfort with decision making. New clinic-based child contact files were highly valued by providers who continued to use them after trial completion. Future interventions to improve child contact management will need to address how to best utilize community health workers in identifying and linking child contacts to care.
Trial Registration: The results presented here were from research related to NCT03074799 , retrospectively registered on 9 March 2017.
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http://dx.doi.org/10.1186/s12912-021-00544-z | DOI Listing |
Sci Rep
September 2025
Faculty of Computers and Artificial Intelligence, Benha University, Benha, Egypt.
Citrus fruits, especially lemons, play a vital economic and nutritional role worldwide but are increasingly threatened by a wide range of diseases that diminish yield quality and quantity. Traditional manual and automated methods for disease detection requires domain expert, ample observation time, and is often ineffective during early infection stages. This paper presents a novel automated approach for the symptom based detection and classification of citrus leaf diseases using a nonlinear Fuzzy Rank-Based Ensemble (NL-FuRBE) methodology, enhanced by image quality improvement techniques.
View Article and Find Full Text PDFJ Affect Disord
August 2025
Center for Depression Research and Clinical Care, Peter O'Donnell Jr. Brain Institute and Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA. Electronic address:
Background: Anxious depression is characterized by an earlier onset of symptoms and severity. A systematic assessment of symptoms over time and identification of clinical and neural circuit dysfunction associated with longitudinal symptom profiles may provide a better understanding of the pathophysiology of anxious depression.
Methods: The D2K arm of the Texas Resilience Against Depression (T-RAD) study (NCT02919280) participants, 10 years or older, with a current or a past diagnosis of depression, were included.
Pathogens
July 2025
Department of Medicine, University of Patras, 26504 Rio, Greece.
Artificial intelligence (AI) techniques-ranging from hybrid mechanistic-machine learning (ML) ensembles to gradient-boosted decision trees, support-vector machines, and deep neural networks-are transforming the management of seasonal influenza, respiratory syncytial virus (RSV), human immunodeficiency virus (HIV), and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Symptom-based triage models using eXtreme Gradient Boosting (XGBoost) and Random Forests, as well as imaging classifiers built on convolutional neural networks (CNNs), have improved diagnostic accuracy across respiratory infections. Transformer-based architectures and social media surveillance pipelines have enabled real-time monitoring of COVID-19.
View Article and Find Full Text PDFChildren (Basel)
August 2025
Department of Obstetrics and Gynecology, Hospital St. Hedwig of the Order of St. John, University of Regensburg, Steinmetzstrasse 1-3, 93049 Regensburg, Germany.
In 2020, a lockdown due to COVID-19 was ordered by the German government, resulting in population-wide restrictions. In this retrospective study, we question the extent to which health policy restrictions have influenced medical diagnoses. The incidence rates of relevant pregnancy complications during all trimesters of pregnancy were evaluated for a 6-month pre-pandemic period (April-September 2019), in comparison to the same period during the lockdown in 2020.
View Article and Find Full Text PDFTrials
August 2025
Department of Pediatrics, University of Louisville School of Medicine, Louisville, USA.
Background: Opioid use and misuse during pregnancy rose from 1.5 to 6.5 per 1000 deliveries between 1999 and 2014 and continues as a significant public health concern.
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