Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
A roadmap for using DHIS2 data to track progress in key health indicators in the Global South: experience from sub-saharan Africa
by
Loss, Georg
, Farnham, Andrea
, Lyatuu, Isaac
, Kulinkina, Alexandra V.
, Winkler, Mirko S.
, Cossa, Herminio
in
Acquired immune deficiency syndrome
/ Africa South of the Sahara - epidemiology
/ AIDS
/ Biostatistics
/ Case reports
/ Child
/ Children
/ Cluster analysis
/ Clustering
/ Coronaviruses
/ Data Accuracy
/ Data collection
/ Data Collection - methods
/ Data entry
/ Data management
/ Decision analysis
/ Decision making
/ DHIS2
/ Economic aspects
/ Environmental aspects
/ Environmental Health
/ Epidemiology
/ Health aspects
/ Health care facilities
/ Health Facilities
/ Health Information Systems
/ Health systems
/ HIV
/ Human immunodeficiency virus
/ Humans
/ Immunization
/ Indicators
/ Information management
/ Information systems
/ Management information systems
/ Maternal & child health
/ Medical informatics
/ Medicine
/ Medicine & Public Health
/ Methods
/ Mortality
/ Pandemics
/ Pipe cleaning
/ Public Health
/ Research in Practice
/ Routine health management information system
/ Software
/ Streamlining
/ Sustainable development
/ Vaccine
/ Vector quantization
2023
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
A roadmap for using DHIS2 data to track progress in key health indicators in the Global South: experience from sub-saharan Africa
by
Loss, Georg
, Farnham, Andrea
, Lyatuu, Isaac
, Kulinkina, Alexandra V.
, Winkler, Mirko S.
, Cossa, Herminio
in
Acquired immune deficiency syndrome
/ Africa South of the Sahara - epidemiology
/ AIDS
/ Biostatistics
/ Case reports
/ Child
/ Children
/ Cluster analysis
/ Clustering
/ Coronaviruses
/ Data Accuracy
/ Data collection
/ Data Collection - methods
/ Data entry
/ Data management
/ Decision analysis
/ Decision making
/ DHIS2
/ Economic aspects
/ Environmental aspects
/ Environmental Health
/ Epidemiology
/ Health aspects
/ Health care facilities
/ Health Facilities
/ Health Information Systems
/ Health systems
/ HIV
/ Human immunodeficiency virus
/ Humans
/ Immunization
/ Indicators
/ Information management
/ Information systems
/ Management information systems
/ Maternal & child health
/ Medical informatics
/ Medicine
/ Medicine & Public Health
/ Methods
/ Mortality
/ Pandemics
/ Pipe cleaning
/ Public Health
/ Research in Practice
/ Routine health management information system
/ Software
/ Streamlining
/ Sustainable development
/ Vaccine
/ Vector quantization
2023
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
A roadmap for using DHIS2 data to track progress in key health indicators in the Global South: experience from sub-saharan Africa
by
Loss, Georg
, Farnham, Andrea
, Lyatuu, Isaac
, Kulinkina, Alexandra V.
, Winkler, Mirko S.
, Cossa, Herminio
in
Acquired immune deficiency syndrome
/ Africa South of the Sahara - epidemiology
/ AIDS
/ Biostatistics
/ Case reports
/ Child
/ Children
/ Cluster analysis
/ Clustering
/ Coronaviruses
/ Data Accuracy
/ Data collection
/ Data Collection - methods
/ Data entry
/ Data management
/ Decision analysis
/ Decision making
/ DHIS2
/ Economic aspects
/ Environmental aspects
/ Environmental Health
/ Epidemiology
/ Health aspects
/ Health care facilities
/ Health Facilities
/ Health Information Systems
/ Health systems
/ HIV
/ Human immunodeficiency virus
/ Humans
/ Immunization
/ Indicators
/ Information management
/ Information systems
/ Management information systems
/ Maternal & child health
/ Medical informatics
/ Medicine
/ Medicine & Public Health
/ Methods
/ Mortality
/ Pandemics
/ Pipe cleaning
/ Public Health
/ Research in Practice
/ Routine health management information system
/ Software
/ Streamlining
/ Sustainable development
/ Vaccine
/ Vector quantization
2023
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
A roadmap for using DHIS2 data to track progress in key health indicators in the Global South: experience from sub-saharan Africa
Journal Article
A roadmap for using DHIS2 data to track progress in key health indicators in the Global South: experience from sub-saharan Africa
2023
Request Book From Autostore
and Choose the Collection Method
Overview
High quality health data as collected by health management information systems (HMIS) is an important building block of national health systems. District Health Information System 2 (DHIS2) software is an innovation in data management and monitoring for strengthening HMIS that has been widely implemented in low and middle-income countries in the last decade. However, analysts and decision-makers still face significant challenges in fully utilizing the capabilities of DHIS2 data to pursue national and international health agendas. We aimed to (i) identify the most relevant health indicators captured by DHIS2 for tracking progress towards the Sustainable Development goals in sub-Saharan African countries and (ii) present a clear roadmap for improving DHIS2 data quality and consistency, with a special focus on immediately actionable solutions. We identified that key indicators in child and maternal health (e.g. vaccine coverage, maternal deaths) are currently being tracked in the DHIS2 of most countries, while other indicators (e.g. HIV/AIDS) would benefit from streamlining the number of indicators collected and standardizing case definitions. Common data issues included unreliable denominators for calculation of incidence, differences in reporting among health facilities, and programmatic differences in data quality. We proposed solutions for many common data pitfalls at the analysis level, including standardized data cleaning pipelines, k-means clustering to identify high performing health facilities in terms of data quality, and imputation methods. While we focus on immediately actionable solutions for DHIS2 analysts, improvements at the point of data collection are the most rigorous. By investing in improving data quality and monitoring, countries can leverage the current global attention on health data to strengthen HMIS and progress towards national and international health priorities.
Publisher
BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
This website uses cookies to ensure you get the best experience on our website.