15 results match your criteria: "National Institute of Medical Research-Mbeya Medical Research Centre[Affiliation]"

Digital clinical decision support tools have contributed to improved quality of care at primary care level health facilities. However, data from real-world randomized trials are lacking. We conducted a cluster randomized, open-label trial in Tanzania evaluating the use of a digital clinical decision support algorithm (CDSA), enhanced by point-of-care tests, training and mentorship, compared with usual care, among sick children 2 to 59 months old presenting to primary care facilities for an acute illness in Tanzania (ClinicalTrials.

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Article Synopsis
  • Early detection of at-risk children in low- and middle-income countries (LMICs) is crucial for reducing severe health complications and deaths.
  • The study validated the Emergency Department-Pediatric Early Warning Score (ED-PEWS) using clinical data from various LMICs to assess its effectiveness in identifying children needing urgent care.
  • Results showed that the ED-PEWS is moderately to highly effective at recognizing high-urgency cases, with sensitivity and specificity varying across different locations, highlighting its potential to improve urgent care in these settings.
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Excessive antibiotic use and antimicrobial resistance are major global public health threats. We developed ePOCT+, a digital clinical decision support algorithm in combination with C-reactive protein test, hemoglobin test, pulse oximeter and mentorship, to guide health-care providers in managing acutely sick children under 15 years old. To evaluate the impact of ePOCT+ compared to usual care, we conducted a cluster randomized controlled trial in Tanzanian primary care facilities.

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Many evidence-based health interventions, particularly in low-income settings, have failed to deliver the expected impact. We designed an Adaptive Diseases Control Expert Programme in Tanzania (ADEPT) to address systemic challenges in health care delivery and examined the feasibility, acceptability and effectiveness of the model using tuberculosis (TB) and diabetes mellitus (DM) as a prototype. : This was an effectiveness-implementation hybrid type-3 design that was implemented in Dar es Salaam, Iringa and Kilimanjaro regions.

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Article Synopsis
  • ePOCT+ Development
  • : A new electronic clinical decision support algorithm (CDSA), called ePOCT+, was created to help reduce childhood mortality and improve antibiotic prescribing practices in low- and middle-income countries by guiding clinicians to follow established medical guidelines.
  • medAL-Suite
  • : The medAL-suite software was developed to streamline the creation and application of CDSAs, allowing healthcare professionals without technical skills to design algorithms easily, using tools like medAL-creator and medAL-reader for consultations.
  • Validation and Future Plans
  • : The algorithms underwent thorough reviews and usability tests by experts across several countries to ensure clinical relevance, with ongoing clinical validation studies planned in Tanzania, Rwanda, Kenya, Senegal, and India
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Introduction: Tanzania is adapting a shortened injectable-free multidrug resistant tuberculosis (MDR-TB) regimen, comprising new drugs such as bedaquiline and delamanid and repurposed drugs such as clofazimine and linezolid. The regimen is implemented using a pragmatic prospective cohort study within the National TB and Leprosy Programme and is accompanied by a process evaluation. The process evaluation aims to unpack the implementation processes, their outcomes and the moderating factors in order to understand the clinical effectiveness of the regimen.

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A significant minority of people living with HIV (PLWH) achieve viral suppression (VS) on antiretroviral therapy (ART) but do not regain healthy CD4 counts. Clinical factors affecting this immune non-response (INR) and its effect on incident serious non-AIDS events (SNAEs) have been challenging to understand due to confounders that are difficult to control in many study settings. The U.

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Introduction: Most sub-Saharan African countries endure a high burden of communicable infections but also face a rise of non-communicable diseases (NCDs). Interventions targeting particular epidemics are often executed within vertical programmes. We establish an Adaptive Diseases control Expert Programme in Tanzania (ADEPT) model with three domains; stepwise training approach, integration of communicable and NCDs and a learning system.

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Medicines with a stereogenic center (asymmetric carbon) are mainly present as racemates with a mixture of equal amounts of enantiomers. One enantiomer may be active while the other inactive, alternatively one may produce side-effects and even toxicity. However, there is lack of information on the chirality status (either racemates, single active enantiomer or achiral) of medicines circulated on the market particularly in African countries.

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Consistent condom use is an inexpensive and efficacious HIV prevention strategy. Understanding factors associated with condom use and barriers to use can inform strategies to increase condom uptake. The ongoing African Cohort Study prospectively enrolls adults at 12 clinical sites in Uganda, Kenya, Tanzania, and Nigeria.

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Background: A marked decline in malaria morbidity and mortality has been reported after the introduction of artemisinin-based combination therapy (ACT) in high malaria prevalence countries in Africa. Data on the impact of ACT and on the prevalence of malaria has so far been scarce for Southwest Tanzania.

Methods: Between 2005 and 2011, a large general population cohort in the Mbeya Region in the south-west of Tanzania has been surveyed within the EMINI-study (Evaluation and Monitoring of the Impact of New Interventions).

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The impact of repeated NALC/NaOH- decontamination on the performance of Xpert MTB/RIF assay.

Tuberculosis (Edinb)

May 2018

Division of Infectious Diseases and Tropical Medicine, Medical Centre of the University of Munich (LMU), Munich, Germany; German Centre for Infection Research (DZIF), Partner Site Munich, Germany.

The Xpert MTB/RIF assay detects Mycobacterium tuberculosis in unprocessed or NALC/NaOH- decontaminated sputum. The effect of repeated NALC/NaOH-decontamination on several Xpert performance parameters was assessed in this study. A second NALC/NaOH-decontamination had no effect on the binary Xpert-outcome but increased the value for the quantitative readout (C).

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Why being an expert - despite xpert -remains crucial for children in high TB burden settings.

BMC Infect Dis

February 2017

The Global Tuberculosis Program, Texas Children's Hospital, Global and Immigrant Health, Department of Pediatrics Baylor College of Medicine, Houston, TX, 77030, USA.

Background: As access to Xpert expands in high TB-burden settings, its performance against clinically diagnosed TB as a reference standard provides important insight as the majority of childhood TB is bacteriologically unconfirmed. We aim to describe the characteristics and outcomes of children with presumptive TB and TB disease, and assess performance of Xpert under programmatic conditions against a clinical diagnosis of TB as a reference standard.

Methods: Retrospective review of children evaluated for presumptive TB in Mbeya, Tanzania.

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Ascertaining in vivo virulence of Mycobacterium tuberculosis lineages in patients in Mbeya, Tanzania.

Int J Tuberc Lung Dis

January 2015

German Center for Infection Research, Borstel Site, Borstel, Germany; Molecular Mycobacteriology, Research Center Borstel, Borstel, Germany.

We evaluated the relationship between the degree of immunodeficiency indicated by the number of circulating CD4+ T-cells and Mycobacterium tuberculosis lineages identified by spoligotyping and mycobacterial interspersed repetitive units-variable number of tandem repeats genotyping in human immunodeficiency virus (HIV) infected individuals with pulmonary tuberculosis from Mbeya, Tanzania. Of M. tuberculosis strains from 129 patients, respectively 55 (42.

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Background: An accurate biomarker is urgently needed to monitor the response to treatment in patients with pulmonary tuberculosis. The Xpert MTB/RIF assay is a commercially available real-time PCR that can be used to detect Mycobacterium-tuberculosis-specific DNA sequences in sputum samples. We therefore evaluated this assay with serial sputum samples obtained over 26 weeks from patients undergoing treatment for tuberculosis.

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