Establishing a global quality of care benchmark report

Author:

Sampurno Fanny1ORCID,Cally Justin1,Opie Jacinta L1ORCID,Kannan Ashwini1,Millar Jeremy L2,Finelli Antonio3,Vickers Andrew J4,Moore Caroline M5,Kowalski Christoph6,Foster Claire7,Barocas Dan A8,Galvin David9,Van Basten Jean-Paul10,Gore John L11,Ferencz Julia12,Lawson Keith A3,Ghani Khurshid R13,Kwan Lorna14,Saarela Olli15,Connor Sarah E14,Dieng Sebastian12,Linsell Susan13,Soeterik Timo FW10,Villanti Paul16,Litwin Mark S14,Evans Sue M17

Affiliation:

1. Monash University, Australia

2. William Buckland Radiotherapy Centre, Alfred Hospital, Australia

3. Princess Margaret Cancer Centre, Canada

4. Memorial Sloan Kettering Cancer Center, USA

5. University College London, UK

6. German Cancer Society – Krebsgesellschaft, Germany

7. University of Southampton, UK

8. Vanderbilt University Medical Center, USA

9. University College Dublin, Ireland

10. Santeon Group, the Netherlands

11. University of Washington, USA

12. OnkoZert, Germany

13. University of Michigan (on behalf of MUSIC), USA

14. University of California, USA

15. University of Toronto, Canada

16. Movember Foundation, Australia

17. Cancer Council Victoria, Australia

Abstract

Background: The Movember funded TrueNTH Global Registry (TNGR) aims to improve care by collecting and analysing a consistent dataset to identify variation in disease management, benchmark care delivery in accordance with best practice guidelines and provide this information to those in a position to enact change. We discuss considerations of designing and implementing a quality of care report for TNGR. Methods: Eleven working group sessions were held prior to and as reports were being built with representation from clinicians, data managers and investigators contributing to TNGR. The aim of the meetings was to understand current data display approaches, share literature review findings and ideas for innovative approaches. Preferred displays were evaluated with two surveys (survey 1: 5 clinicians and 5 non-clinicians, 83% response rate; survey 2: 17 clinicians and 18 non-clinicians, 93% response rate). Results: Consensus on dashboard design and three data-display preferences were achieved. The dashboard comprised two performance summary charts; one summarising site’s relative quality indicator (QI) performance and another to summarise data quality. Binary outcome QIs were presented as funnel plots. Patient-reported outcome measures of function score and the extent to which men were bothered by their symptoms were presented in bubble plots. Time series graphs were seen as providing important information to supplement funnel and bubble plots. R Markdown was selected as the software program principally because of its excellent analytic and graph display capacity, open source licensing model and the large global community sharing program code enhancements. Conclusions: International collaboration in creating and maintaining clinical quality registries has allowed benchmarking of process and outcome measures on a large scale. A registry report system was developed with stakeholder engagement to produce dynamic reports that provide user-specific feedback to 132 participating sites across 13 countries.

Funder

Movember Foundation

Publisher

SAGE Publications

Subject

Health Informatics

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