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Feb 17, 2020 · This toolkit is a set of resources to optimize the analysis and use of data collected through routine health facility information systems, also known as health management information systems (HMIS). The comprehensive toolkit includes a series of integrated modules shown below.
- Data collection and analysis tools - World Health Organization (WHO)
Data collection and analysis tools. Monitoring the health...
- ANALYSIS AND USE OF HEALTH FACILITY DATA
WHAT IS MEANT BY ROUTINE HEALTH FACILITY DATA? Routine...
- Health information system: Types and sources of health data ...
Routine health facility data represent services...
- TOOLKIT FOR ANALYSIS AND USE OF ROUTINE HEALTH FACILITY DATA
Routine health facility data comprise data that are reported...
- WHO Toolkit for Routine Health Information Systems Data
Routine data collected from health facilities on eye and ear...
- Data collection and analysis tools - World Health Organization (WHO)
- LEARNING OBJECTIVES
- KEY AUTHORS
- Acknowledgements
- WHAT IS MEANT BY ROUTINE HEALTH FACILITY DATA?
- USES AND VIRTUES OF ROUTINE HEALTH FACILITY DATA
- HOW IS THE CURRICULUM STRUCTURED?
- 2. Data quality
- Assess reporting completeness
- Assess completeness of reporting from hospitals and from private sector facilities
- Internal consistency of reported data
- External consistency with other data sources
- External comparison of population data
- INTERNATIONAL STANDARDS FOR RHIS FACILITY INDICATORS
- BASIC STATISTICAL TERMS
- EQUITY
- OTHER ANALYTICAL CONCEPTS: TRIANGULATION AND COMPARISON OF DATA WITH SYSTEMS REPORTING SAME HEALTH EVENTS
- 6. Presentation and communication
- KEY RULES FOR REPORTS AND GRAPHICAL PRESENTATIONS
This module provides an overview of the analysis curriculum, its objectives and structure and key principles that are relevant for all managers and analysts of health facility data. By the end of this module, participants will be able to: Understand the objectives and structure of the curriculum for the analysis of routine health facility data; Ex...
Kathryn O’Neill | Chelsea Taylor |Kavitha Viswanathan |Robert Pond |Ties Boerma
This guidance document has been developed by the World Health Organization, with the support of grants from Bloomberg Philanthropies Data for Health Initiative, Gavi, the Vaccine Alliance, The Global Fund to Fight AIDS, Tuberculosis and Malaria, and The Norwegian Agency for Development Cooperation.
Routine health facility data are collected at clinics, hospitals and other health service points (public; private; community-based) at the time that services are provided. These data are processed at the health facility and summary reports are sent to the appropriate administrative authority. The system for collection, management and reporting on ...
Routine health facility data are widely used for national and sub-national health sector reviews and planning. They form the basis of national annual reports of health statistics and periodic analytical reviews of health system performance, and they are used to assess health program at all levels of the health system. Analysts and program manager...
This curriculum is divided into seven key modules. The first two are cross-cutting. This introduction provides an overview of the basic steps and standards for analysing health facility data. These steps and standards relate to the selection of appropriate indicators, ensuring data quality, key analytic concepts, and effective presentation and co...
All data have limitations that affect their reliability and interpretation; facility data are no exception. Before conducting analysis and interpretation, the analyst should review the facility data for completeness and quality to determine inconsistencies and errors and make adjustments if necessary. Data quality reviews can be completed as a 1...
Completeness is the percentage of expected reports3 which have been submitted to a higher level. The analysts should assess both the completeness of facility reports (submitted to district level) and the completeness of district reports (aggregated data from multiple facilities which have been submitted to the national level). To key steps in asses...
Hospitals report the great majority of inpatient deaths and admissions and a significant percentage of outpatient services. Yet, in some health systems, the completeness of reporting is significantly lower from hospitals than from health centres and health posts. While private, not-for-profit facilities may reliably report routine data, this is ...
Internal consistency of the data relates to the coherence of the data being evaluated. Internal consistency metrics examine: 1) coherence between the same data items at different points in time (outliers and consistency over time), 2) coherence between related data items (consistency between indicators), and 3) comparison of data in source document...
The level of agreement between two sources of data measuring the same health indicator is assessed. The two sources of data usually compared are data flowing through the HMIS or the programme-specific information system and data from a periodic population-based survey. The HMIS can also be compared to pharmacy records or other types of data to ensu...
This involves determining the adequacy of the population data used in evaluating the performance of health indicators. Population data serve as the denominator in the calculation of a rate or proportion and provide important information on coverage. This data quality measurement compares two different sources of population estimates (for which the ...
Analysis and use of routine facility start with the indicators and the related data elements. This module presents a recommended list of core indicators for health management information systems (HMIS) that include programme-specific indicators. Countries can add or modify this recommended list based on their country priorities and epidemiological ...
Once data are collected, they must be analysed to uncover the story that they tell and to create output that can be used to inform strategy and policy. Data analysis can help answer questions pertaining to many aspects of a health system. Some common questions answered include: The level of workforce and infrastructure available in the system The...
Inequity in the delivery and access to health service persist even when overall service coverage is high. Measurement of equity is especially critical as it is fundamental to Universal Health Coverage (UHC) and Sustainable Development Goals (SDG). Commonly equity has been measured by comparing coverage or access to services based on a household’s...
A manager/planner should aim to compare/reconcile results from the RHIS with other data sources (e.g. household surveys). While estimates derived from household surveys are frequently cited as the “gold standard” measurements of coverage, analysts should keep in mind that these estimates are subject to both sampling error (i.e. for sub-national es...
At present, many health information systems are “data-rich” but “information-poor”. This is a consequence of the belief that data can be used directly for decision-making. Raw data alone are rarely useful. The point of a health information system is not just to generate high-quality data and hope that it will be used, but to convert it into credibl...
On the cover page of a report, always specify the month and year that the document was finalized. Don’t forget to discuss the methods used for estimating denominators. Include in the report a table of key denominators. In any report, and for each table or figure, always analyze data quality and present and discuss notable findings about date quali...
Routine health facility data represent services provided/utilized at clinics, hospitals and other health service delivery points at the time that services are provided. These data may be entered at the health service delivery (e.g. health facility) point or at subnational level (e.g. district office).
adolescents’ health (2016–2030) recognizes routine health facility data as an important source of information on the readiness of a facility to provide key MNCAH services (e.g. the availability of so-called inputs such as essential medicines and devices and human resources), utilization of services, and proxy measures for quality of care (6).
Jan 21, 2021 · Routine health facility data comprise data that are reported at regular intervals from facilities providing health services. The system of regular recording, reporting, analysis and presentation of health facility data is known as the routine health information system (RHIS).1
Routine data collected from health facilities on eye and ear and hearing care, provide information on morbidity, estimates of services utilization, and quality and coverage of services, to allow management and clinical decision-making.
This document provides guidance on the integrated analysis and use, at district and facility levels, of data collected from health facilities through routine health information systems (RHIS). The integrated approach provides a “cross-cutting” view of health services, based on a limited set of tracer
