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Publication date: 14 March 2023

Jennifer Martin, Zuneera Khurshid, Gemma Moore, Michael Carton, John J. Fitzsimons, Colm Henry and Maureen A. Flynn

This paper describes a quality improvement project to improve oversight of quality at national board level using statistical process control (SPC) methods, complimented by a…

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Abstract

Purpose

This paper describes a quality improvement project to improve oversight of quality at national board level using statistical process control (SPC) methods, complimented by a qualitative experience of patients and frontline staff. It demonstrates the application of the “Picture-Understanding-Action” approach and shares the lessons learnt.

Design/methodology/approach

Using co-design and applying the “Picture-Understanding-Action” approach, the project team supported the directors of the Irish health system to identify and test a qualitative and quantitative picture of the quality of care across the health system. A “Quality Profile” consisting of quantitative indicators, analysed using SPC methods was used to provide an overview of the “critical few” indicators across health and social care. Patient and front-line staff experiences added depth and context to the data. These methods were tested and evolved over the course of six meetings, leading to quality of care being prioritised and interrogated at board level.

Findings

This project resulted in the integration of quality as a substantive and prioritised agenda item. Using best practice SPC methods with associated training produced better understanding of performance of the system. In addition, bringing patient and staff experiences of quality to the forefront “people-ised” the data.

Originality/value

The application of the “Picture-Understanding-Action” approach facilitated the development of a co-designed quality agenda item. This is a novel process that shifted the focus from “providing” information to co-designing fit-for-purpose information at board level.

Details

International Journal of Health Governance, vol. 28 no. 1
Type: Research Article
ISSN: 2059-4631

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