Health information system data
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A health information system is only as good as the data entered into it.
Health information system data
The role of a health information system is to enable the use of reliable and timely data by decision makers at all levels of the health system. The health information system is therefore reliant on the quality of data collected. Having quality and up-to-date data is necessary for countries to respond quickly to public health crises.
Health planners and decision makers need different kinds of information including
- health determinants (socioeconomic, environmental, behavioural and genetic factors) and the contextual environments within which the health system operates)
- inputs to the health system and related processes (health infrastructure, facilities and equipment, human and financial resources)
- the performance or outputs of the health system (availability, accessibility, quality of health information and services, responsiveness of the system to user needs)
- health outcomes (mortality, morbidity, disease outbreaks, health status, disability and well-being)
- health inequalities (sex, socioeconomic status, ethnic group and geographical location)
Uses of data
Clinicians use the information from the health information system to manage patients’ care and coordinate integrated services.
Hospital administrators use information to monitor patient safety and quality of care.
Policymakers track the incidence and prevalence of health conditions, and quantity of service consumption, to decide on the best use of financial resources.
UNDP works with national entities to improve the quality and timeliness of data to:
- support the assessment of where ICT can deliver better, more coordinated data
- improve the infrastructure to implement ICT
- review and develop standards for indicators
- support the implementation of District Health Information Systems to manage data
- implement electronic Patient Management Systems (ePMS)
- strengthen skills in analysing data and its use in decision-making
- support the integration of data systems to consolidate indicators and their use in decision making
Types of data
Health information systems use data from different levels of the health-care system.
Indicators are signposts of change along the path to development. They describe the way to track intended results and are critical for monitoring and evaluation. Good performance indicators are a critical part of the results framework.
In particular, indicators can help to:
- inform decision making for ongoing programme
- measure progress and achievements, as understood by the different stakeholders
- clarify consistency between activities, outputs, outcomes and impacts
- ensure legitimacy and accountability to all stakeholders by demonstrating progress
- assess activities and staff performance
Health indicators should be valid, reliable, specific, sensitive and feasible/affordable to measure. They must also be relevant and useful for decision-making.
The main challenge is to identify a small set of indicators. Individual programme areas often have a defined minimum list of indicators, often at the instigation of external partners and donors. When combined, these indicators can create a huge burden in terms of data collection. A rational selection of a set of core health indicators is therefore essential.
The Health Data Collaborative (HDC) is a joint effort by WHO and other global health partners to work alongside countries to improve the availability, quality and use of data for local decision-making and tracking progress toward the Sustainable Development Goals.
Achieving these goals will require accurate and timely data in order to understand how much work needs to be done, to stay on track, and to keep leaders accountable.
The HDC objective is to strengthen country capacity for health data by getting global partners to work together to support country needs and agree a common agenda for measurement and accountability.
The HDC’s first product is a list of 100 core health indicators to support data collection, which attempts to reduce the more than 600 indicators that some countries have previously reported on under their various relationships with donors.
Data sources for a comprehensive HIS
The main data sources of a comprehensive national health information system that are essential for measurement and accountability for results:
Challenges to the use of health information
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. However, despite this, many still find it challenging to collect quality data in a timely manner, to produce disaggregated data and use it for policy and planning.
Data may be incomplete or of poor quality or there may be duplication and fragmentation of data across reporting systems that have been 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.
Suggested capacity development indicators
- A national set of indicators to inform annual health sector reviews and other planning cycles
- Completeness in defining baselines and targets of indicators
- Measurement methods/tools identified
- Data quality assessments carried out, using internationally agreed quality criteria