Data collection and use

Strengthening the collection and use of data for decision-making and accountability

Purpose

The role of a health information system (HIS) is to enable the use of reliable and timely data by decision makers at all levels of the health system. The HIS is therefore reliant on, and is only as good as, the quality of data collected. High-quality and up-to-date data are necessary for countries to respond quickly to public health crises and ensure the effectiveness of ongoing health service delivery. This includes making information available on vulnerable groups and key populations most affected by health issues, to ensure that services can be effectively tailored to the needs and unique barriers to health access faced by those communities. The strength of the HIS also ensures that when an emergency health situation arises, decision makers are aware of it early and can divert the necessary resources to prevent epidemics.

In many countries, the quality of data gathered at health facilities and the capacity to analyse and use these data remain inadequate to support decision-making that will accelerate the achievement of universal health coverage. Most countries have health facility registries and service-use reporting forms; they maintain medical record rooms and may have health information units overflowing with data. Despite this abundance of data, many still find it challenging to collect high-quality data in a timely manner, produce disaggregated data and use them for policy and planning.

Among the challenges is the fact that data may be incomplete or of poor quality or that there may be duplication and fragmentation of data across reporting systems developed by different users. This makes it difficult to connect the resources invested to the results achieved. Data needs and demands are also changing with the rise in non-communicable diseases. More technical skills in key areas such as epidemiology, biostatistics and database management are needed, as well as skills to analyse statistics across different programmes and sectors. Responsibility for data entry, verification, validation and management is distributed across various individuals, professions, units, departments and facilities at the different levels of the HIS. Programmatic or patient care data are often collected and managed separately from health products or stock data. Staff rotation is another concern in relation to maintaining appropriate standards, as such a situation affects data quality. In addition, data quality is rarely seen as a priority and the resources available are limited.

UNDP’s approach

Key Resources

AUTHOR: WHO
Language: English
File Format: Link
This resource is intended to be the universally accepted standard for guiding the collection, reporting and use of health information by all developing countries and global agencies.
AUTHOR: WHO
Language: English
File Format: PDF
AUTHOR: WHO
Language: English
File Format: Link
Permits formal auditing of data quality for priority HIV/AIDS, tuberculosis, and malaria indicators in programmes or projects.
AUTHOR: WHO
Language: English
File Format: Link
A harmonized approach to assessing the quality of data reported, from the health facility and community levels to the national level.
AUTHOR: WHO, GAVI, The Global Fund, JSI, Measure Evaluation
Language: English
File Format: PDF
AUTHOR: Measure Evaluation
Language: English
File Format: Link
AUTHOR: WHO
Language: English
File Format: Link
AUTHOR: WHO
Language: English
File Format: Link
MEASURE Evaluation
AUTHOR: UNDP
Language: English
File Format: Link
The tool provides information on the preparation for and implementation of an assessment of the national HIV monitoring and evaluation (M&E) system.
AUTHOR: UNAIDS
Language: English
File Format: PDF
The tool helps to enhance entire health information and statistical systems, and to concentrate efforts on strengthening country leadership for health information production and use.
AUTHOR: WHO
Language: English
File Format: PDF