Collecting Health Data in Africa - Peter Hessels - KITPresentation Transcript
Collecting Health data in Africa Peter Hessels, senior ICT advisor/trainer
What can we learn?
Collecting health data
Existing datasets: Demographic Health Survey, HMR
OSS: District Health Information System
My question: What do we learn from this example: Do’s and don’ts
Why? “Reliable and timely health information is an essential foundation of public health action and health systems strengthening, both nationally and internationally.” “Health workers are overburdened by excessive data and reporting demands from multiple and poorly coordinated subsystems” - Health Metrics Network
Health Metrics Network As of June 2010, 83 countries are applying the principles and approaches of the HMN Framework to strengthen their national Health Information System (HIS) and to improve their health status by using better health information.
Call to action
Global Health Information Forum 2010
500 health information experts
HMN, WHO, World Bank, …
Call to action
guaranteeing transparency of all health data with due considerations for privacy and confidentiality
strengthening intersectoral collaboration and coordination to develop and govern national health information system policies
investing in appropriate technology – based on open standards – that permits rapid expansion to rural populations that empowers frontline employees with real time access to information and permits rapid action in public health emergencies
Collecting Health Data (for research) Reliability of data:
Levels of authority
Understanding the research
Understanding the questions
Language issues (understanding and vocabulary)
Collecting Health Data: Privacy and consent
Understanding what is consented
Privacy & fears
Demographic Health Surveys (DHS)
Data quality: coherent, consistent
Can be used as reference data
Preservation of data
Demographic Health Survey (DHS) Data Policy: Thank you for your request to access the DHS geographic data files. Your request is on hold at this time because you did not submit a sufficiently detailed description of your project. To fulfill our ethical obligation to survey respondents and our sponsoring agency, we must know how the geographic data in these files will be used before authorizing its distribution. Please explain in detail how you will make use of the geographic attributes that are contained in the geographic dataset. As a reminder, the DHS geographic data file is separate from the regular DHS data files and contains only the DHS cluster ID, corresponding latitude/longitude coordinates, DHS region, and altitude. If you have made this request in error, no further action is needed. If you still wish to access the DHS geographic data, please provide an expanded description of your project clearly stating how the geographic data will be used. You can make these changes by logging in at the following location: http://www.measuredhs.com/login.cfm Use the email and password you selected on the registration form to login. Thank you. LOGIN INFORMATION: Login Email: firstname.lastname@example.org Password: ODDC
technical assistance to more than 240 surveys
over 85 countries
understanding of health and population trends in developing countries.
fertility, family planning, maternal and child health, gender, HIV/AIDS, malaria, and nutrition.
Demographic Health Survey STAT compiler - include multiple indicators, residence breakdown, and age categories associated with an indicator topic. STAT mapper - Geographic representation of data Multiple Indicator Cluster Survey (MICS)
Health Metrics Network
Strengthening national health systems
Health System Assement Tool Maternal Mortality Measurement Resource Resources
HISP – Health Information Systems Program HISP is a global south-south-north collaborative network. Our aim is better health care in developing countries through the combination of research on and implementation of Health Information Systems.