Rueda S, et al. BMJ Open 2016;6:e011453. doi:10.1136/bmjopen-2016-011453
The key aim of this guideline is to present recommendations based on a critical evaluation of the evidence on emerging digital health interventions that are contributing to health system improvements, based on an assessment of the benefits, harms, acceptability, feasibility, resource use and equity... considerations.
This guideline urges readers to recognize that digital health interventions are not a substitute for functioning health systems, and that there are significant limitations to what digital health is able to address
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The classification of digital health interventions (DHIs) categorizes the different ways in which digital and mobile technologies are being used to support health system needs. Historically, the diverse communities working in digital health—including government stakeholders, technologists, clinic...ians, implementers, network operators, researchers, donors— have lacked a mutually understandable language with which to assess and articulate functionality. A shared and standardized vocabulary was recognized as necessary to identify gaps and duplication, evaluate effectiveness, and facilitate alignment across different digital health implementations. Targeted primarily at public health audiences, this Classification framework aims to promote an accessible and bridging language for health program planners to articulate functionalities of digital health implementations.
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What We Know, What We Don’t Know, and What We Need to Do
July 2014
This report was made possible through support provided by the One Million Community Health Workers Campaign, mPowering Frontline Health Workers, Intel, and USAID. This report was authored by Cindil Redick for mPowering Frontline Health Workers under the terms of Contract No. GHS-A-00-08...-00002-00. The opinions expressed herein are those of the authors and do not necessarily reflect the views of USAID.
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This technical guidance aims to provide guidelines to laboratories and relevant stakeholders in the European Union (EU), European Economic Area (EEA) and other countries in the WHO European region in making decisions on establishing sequencing capacities and capabilities, in making decisions on whic...h technologies to use and/or in deciding on the role of sequencing for SARS-CoV-2 diagnostics, research, outbreak investigations and surveillance. It addresses the most used sequencing technologies and their applications and proposes a central standardisation process to analyse and report the findings of SARS-CoV-2 genetic characterisations.
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The article investigates the diagnostic capabilities and prevalence of chronic obstructive pulmonary disease (COPD) in primary care settings in northern Brazil. It highlights that COPD is often underdiagnosed and undertreated in resource-limited regions. The study involved 34 general practitioners a...nd used spirometry to evaluate their diagnostic accuracy compared to clinical assessments. Findings revealed significant discrepancies between GP diagnoses and spirometry results, with many false positives and negatives. The study underscores the need for better training and the use of spirometry to improve COPD diagnosis and case-finding in primary care, emphasizing the importance of targeted strategies to enhance healthcare outcomes in developing countries.
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