Purpose
To provide an overview of approaches, indicators and data sources used to capture and measure quality in Maternal and Newborn Health (MNH) in low and middle income countries (LMIC).
Learning Objectives
When you have completed this , you should be able to:
- Identify data sources used to capture aspects of quality in MNH.
- Describe quantitative and qualitative approaches used.
- Become familiar with core global indicators, standards and norms.
Introduction
This will explore the main ways that quality can be measured and improvements monitored. This is important for several reasons:
- The concept of quality-led governance (as defined by OECD forum in 2010) is a driving principle of health systems. One way of ensuring accountability is by providing data and information on whether quality services are being provided.
- Measuring quality also allows the results or outcomes of quality improvement interventions to be assessed.
- Capturing data on quality also allows us to compare performance against standards and norms; and across different health facilities, providers, geographical areas and countries.
- Understanding the level of quality provides a better perspective from which to interpret health care indicators such as mortality and morbidity rates.
This will look at data sources, methods to capture data quality (with regard to the three main dimensions of quality) and global indicators, norms and standards.
Section D – Measuring Quality and Quality Improvement in MNH was last modified: June 18th, 2015 by
References - View all
- Organisation for Economic Co-operation and Development (OECD), Improving Value in Health Care: Measuring Quality Forum on Quality of Care, Paris, 7-8 October 2010