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http://dx.doi.org/10.1093/trstmh/trw021 | DOI Listing |
Confl Health
January 2025
London School of Hygiene and Tropical Medicine, Department of Non-Communicable Diseases Epidemiology, Keppel street, London, WC1E 7HT, UK.
Background: Non-communicable diseases (NCDs) are the leading cause of death globally, and many humanitarian crises occur in countries with high NCD burdens. Peer support is a promising approach to improve NCD care in these settings. However, evidence on peer support for people living with NCDs in humanitarian settings is limited.
View Article and Find Full Text PDFPLOS Glob Public Health
January 2025
Bloomberg School of Public Health, Johns Hopkins University, Baltimore, United States of America.
The Quality-of-Care Network (QCN), launched by WHO and partners, links global and national actors across several countries to improve maternal and newborn health. We conducted a prospective qualitative study to examine how QCN in Bangladesh, Ethiopia, Malawi and Uganda facilitated learning, sharing, and innovation within and between network countries. We conducted 227 key informant interviews with QCN actors at global, national, and facility levels iteratively in two to four rounds from June 2019 to March 2022.
View Article and Find Full Text PDFAm J Gastroenterol
January 2025
Division of Gastroenterology, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand.
Background Aims: Non-invasive tests (NITs), e.g. Fibrosis-4 Index (FIB-4) and vibration-controlled elastography (VCTE), have been used to identify metabolic dysfunction-associated steatotic liver disease (MASLD) patients at high risks for hepatocellular carcinoma (HCC).
View Article and Find Full Text PDFBiometrics
January 2025
Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London WC1E 7HT, United Kingdom.
The ICH E9 addendum on estimands in clinical trials provides a framework for precisely defining the treatment effect that is to be estimated, but says little about estimation methods. Here, we report analyses of a clinical trial in type 2 diabetes, targeting the effects of randomized treatment, handling rescue treatment and discontinuation of randomized treatment using the so-called hypothetical strategy. We show how this can be estimated using mixed models for repeated measures, multiple imputation, inverse probability of treatment weighting, G-formula, and G-estimation.
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