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A protocol for a scoping review highlights the increasing role of digital health technologies in rural primary care, driven by factors like telehealth adoption and physician shortages. The review's findings could shape future strategies for sustainable rura...
For clinicians working in rural primary care, understanding the methodology behind research is crucial. This scoping review protocol emphasizes transparency and rigor in evaluating digital health technologies.
Croatia's 2013 primary care payment reforms, transitioning to a mixed capitation and fee-for-service model, significantly impacted rural family practices. Understanding these shifts can help practices optimize patient panel sizes, preventative care strategi...
In preventive health services, a quasi-experimental analysis from India examines how health insurance shifts cardiometabolic risk through financial access to screening and treatment . Effect estimates appear modest and heterogeneous, with several 95% CIs ov...
In India, quasi-experimental analyses of health insurance expansion and cardiometabolic risk examined blood pressure, glycemia, and adiposity. Coverage improved financial protection but showed limited and heterogeneous shifts in risk-factor levels over shor...
Elderly refugee health service utilization was examined using a retrospective cohort within an integrated Israeli health system. Refugee status functioned as the exposure, and utilization metrics spanned primary care, specialty, emergency, and inpatient dom...
Streptococcus salivarius OSTIA SALI-10, a candidate oral probiotic, underwent a comprehensive safety evaluation integrating genomic, in vitro, and toxicology approaches. Investigators reported a favorable safety profile under intended conditions of use, wit...
Mpox surveillance in African settings could be strengthened by AI-enabled tools that combine machine learning risk models, mobile reporting, natural language processing signal detection, and geospatial analytics. These approaches promise earlier anomaly det...
Mpox surveillance in Africa can be strengthened by integrating AI into IDSR workflows to filter syndromic signals, prioritize lab testing, support triage and contact tracing, and guide alert thresholds. A pragmatic framework highlights where machine learnin...