The DHIS2 Health Data Toolkit is a collection of implementation tools and resources developed in collaboration with WHO, UNICEF, CDC and other global health partners to improve the quality and effective use of integrated health information systems at national scale.
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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L'OMS établit des normes et des lignes directrices pour la surveillance des maladies afin d'aider les pays à détecter rapidement les flambées, à évaluer l'impact des interventions et à formuler des politiques de santé publique efficaces. Ces normes varient en fonction du type de maladie, mai...s incluent généralement la définition des cas, la collecte de données, la formation du personnel, le renforcement des capacités des systèmes d'information sanitaire, l'utilisation de plateformes comme DHIS2, et la communication des résultats aux décideurs pour une action rapide
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Surveillance is a core malaria intervention. Data standards, tools and curricula materials have been developed to support countries to strengthen and monitor national routine surveillance systems and to support use of data for decision-making in all transmission settings. These standards have been d...eveloped into malaria modules in DHIS2 for countries using this platform. These tools comprise: modules for burden reduction and elimination settings; aggregate module; case-based module and modules for entomological surveillance and vector control interventions
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The aim of the Annual Inspection Report is to present findings of public sector health establishments inspected by the OHSC to monitor compliance with the National Core Standards (NCS) during the 2016/2017 financial year in South Africa.
The NCS define fundamentals for quality of care based on six ...dimensions of quality: Acceptability,Safety, Reliability, Equity, Accessibility, and Efficiency.
The NCS structured assessment tools were used to collect data during inspections across the seven domains namely: Patient Rights; Patient Safety, Clinical Governance and Clinical Care; Clinical Support Services; Public Health; Leadership and Governance; Operational Management and Facilities and Infrastructure. A total of 851 routine inspections were conducted with 201 of these facilities re-inspected. Inspection data was captured on District Health Information System (DHIS) data entry forms and exported for analysis to Statistical Analysis Software (SAS) version 9.4.
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Le 13ème programme général de travail (PGT) 2019-2023 de l’OMS va amorcer bientôt sa dernière année de mise en oeuvre. Cependant, le chemin vers l’objectif du « triple milliard » semble encore long, à savoir « faire en sorte qu’un milliard de personnes supplémentaires bénéficient ...de la couverture sanitaire universelle, qu’un milliard de personnes supplémentaires soient mieux protégées face aux situations d’urgence et qu’un milliard de personnes supplémentaires bénéficient d’un meilleur état de santé et d’un plus grand bien-être ».
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INTRODUCTION: Health service use among the public can decline during outbreaks and had been predicted among low and middle-income countries during the COVID-19 pandemic. In March 2020, the government of the Democratic Republic of the Congo (DRC) started implementing public health measures across Kin...shasa, including strict lock-down measures in the Gombe health zone.
METHODS: Using monthly time series data from the DRC Health Management Information System (January 2018 to December 2020) and interrupted time series with mixed effects segmented Poisson regression models, we evaluated the impact of the pandemic on the use of essential health services (outpatient visits, maternal health, vaccinations, visits for common infectious diseases and non-communicable diseases) during the first wave of the pandemic in Kinshasa. Analyses were stratified by age, sex, health facility and lockdown policy (i.e, Gombe vs other health zones).
RESULTS: Health service use dropped rapidly following the start of the pandemic and ranged from 16% for visits for hypertension to 39% for visits for diabetes. However, reductions were highly concentrated in Gombe (81% decline in outpatient visits) relative to other health zones. When the lock-down was lifted, total visits and visits for infectious diseases and non-communicable diseases increased approximately twofold. Hospitals were more affected than health centres. Overall, the use of maternal health services and vaccinations was not significantly affected.
CONCLUSION: The COVID-19 pandemic resulted in important reductions in health service utilizsation in Kinshasa, particularly Gombe. Lifting of lock-down led to a rebound in the level of health service use but it remained lower than pre-pandemic levels.
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ПЛАНИРОВАНИЕ И МОНИТОРИНГ ПРОГРЕССА НА ПУТИ К ЭЛИМИНАЦИИ