Data quality assurance. Module 3. Site assessment of data quality

Data quality assurance. Module 3. Site assessment of data quality
Title Data quality assurance. Module 3. Site assessment of data quality PDF eBook
Author World Health Organization
Publisher World Health Organization
Pages 92
Release 2023-01-17
Genre Medical
ISBN 9240049118

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This publication is one of the three module toolkit and provide technical guidance and tools to support the work on strengthening data quality in countries. This is part of the Division of Data, Analytics and Delivery for Impact’s scope of work providing normative guidance for health information system strengthening.

Data quality assurance. Module 1. Framework and metrics

Data quality assurance. Module 1. Framework and metrics
Title Data quality assurance. Module 1. Framework and metrics PDF eBook
Author World Health Organization
Publisher World Health Organization
Pages 40
Release 2023-02-14
Genre Medical
ISBN 9240047352

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Data quality assurance. Module 2. Discrete desk review of data quality

Data quality assurance. Module 2. Discrete desk review of data quality
Title Data quality assurance. Module 2. Discrete desk review of data quality PDF eBook
Author World Health Organization
Publisher World Health Organization
Pages 56
Release 2023-01-17
Genre Medical
ISBN 9240047379

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This publication is one of the three module toolkit and provide technical guidance and tools to support the work on strengthening data quality in countries. This is part of the Division of Data and Delivery for Impact's scope of work providing normative guidance for health information system strengthening.

Toolkit for analysis and use of routine health facility data

Toolkit for analysis and use of routine health facility data
Title Toolkit for analysis and use of routine health facility data PDF eBook
Author World Health Organization
Publisher World Health Organization
Pages 42
Release 2023-04-21
Genre Medical
ISBN 9240063927

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Analysis and use of health facility data: guidance for maternal, newborn, child and adolescent health programme managers

Analysis and use of health facility data: guidance for maternal, newborn, child and adolescent health programme managers
Title Analysis and use of health facility data: guidance for maternal, newborn, child and adolescent health programme managers PDF eBook
Author World Health Organization
Publisher World Health Organization
Pages 64
Release 2023-11-08
Genre Medical
ISBN 9240080333

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This guidance describes a catalogue of indicators for maternal, newborn, child, and adolescent health (MNCAH) that can be monitored through health management information system data. It is a module of the WHO Toolkit for Routine Health Information Systems (RHIS) Data and links to relevant indicators from other programmatic modules of the WHO toolkit. The document provides guidance on possible analysis and visualization of the indicators, including considerations for interpreting and using the data for decisionmaking. An annex on data quality considerations for MNCAH managers provides suggestions for reviewing and interpreting routine health facility data through a quality lens. Accompanying this guidance are a series of presentations and exercises, including a facilitator guide, that can be used in workshops to strengthen capacity of analysis, interpretation, and use of data by MNCAH managers. The target audience for the guidance and accompanying materials are ministry of health staff working on MNCAH programmes and monitoring and evaluation activities at national and subnational levels; health workers; and partner organizations involved in supporting MNCAH programmes and monitoring. This text will be submitted to Language Services for translation whenever a publication is requested for translation and also provided to WHO Press at the same time as the translation.

Consolidated guidance on tuberculosis data generation and use. Module 1. Tuberculosis surveillance

Consolidated guidance on tuberculosis data generation and use. Module 1. Tuberculosis surveillance
Title Consolidated guidance on tuberculosis data generation and use. Module 1. Tuberculosis surveillance PDF eBook
Author World Health Organization
Publisher World Health Organization
Pages 94
Release 2024-04-29
Genre Medical
ISBN 9240075291

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Since 1995, WHO has ensured a consistent approach to national, regional and global TB surveillance by providing standardized definitions, forms and registers for the recording and reporting of individual-level and aggregated data about people diagnosed with and treated for TB, which are used worldwide. This standardization has facilitated the regular reporting of TB data to WHO from 215 countries and areas in annual rounds of global TB data collection, with findings published in an annual WHO global TB report since 1997 and data made publicly available via the online WHO global TB database. The goal of this 2024 edition of WHO guidance on TB surveillance (following the last major update published in 2013) is to ensure the continued worldwide standardization of TB surveillance, in the context of the WHO End TB Strategy, the latest WHO guidelines on TB screening, prevention, diagnosis and treatment, and commitments made at the 2023 UN high-level meeting on TB, while also promoting the establishment or strengthening of digital, case-based TB surveillance that is integrated within the overall public health architecture. This 2024 edition provides a comprehensive and consolidated package, bringing together both updated guidance as well as (within web annexes) closely related WHO products, tools and documentation related to TB surveillance. The web annexes (and associated links to them) are listed below. The package was informed by (and includes a summary of) lessons learned about TB surveillance during more than 100 national TB epidemiological reviews conducted since 2013.

Module for assessing and strengthening the quality of viral load testing data within HIV programmes and patient monitoring systems: implementation tool, Second edition

Module for assessing and strengthening the quality of viral load testing data within HIV programmes and patient monitoring systems: implementation tool, Second edition
Title Module for assessing and strengthening the quality of viral load testing data within HIV programmes and patient monitoring systems: implementation tool, Second edition PDF eBook
Author World Health Organization
Publisher World Health Organization
Pages 24
Release 2024-03-26
Genre Medical
ISBN 9240085041

Download Module for assessing and strengthening the quality of viral load testing data within HIV programmes and patient monitoring systems: implementation tool, Second edition Book in PDF, Epub and Kindle

This technical update of the 2020 viral load data quality module provides further guidance on the recommended data quality assurance activities, updated web annexes to support country implementation, and generic budgets for viral load testing data quality monitoring activities. These are part of ongoing efforts to standardize approaches to ensure that accurate and timely HIV viral load testing data and results are available for both clinical use and to strengthen programme monitoring. This aligns with recommendations outlined in the 2022 WHO Consolidated guidelines on person-centred HIV strategic information on data quality assessment and improvement. The updated guidance on the priority indicators and the key elements of data quality include: - Key indicators to be included in data quality monitoring activities; - Main activities to be included in the viral load testing data quality assessment process; - The calculation of viral load test turnaround times; - Considerations for data quality assessments for sites with electronic data systems; - Sampling for national data quality assessments of sites and clinical records; - Data quality monitoring via lot-quality assurance sampling; - Considerations for facilities with point-of-care or near point-of-care viral load testing; - Considerations for data quality assessments of viral load testing data for pregnant and breastfeeding women; and - Recording the limitations and challenges of data quality monitoring assurance activities.