Enhancing heart valve disease surveillance: a quality improvement project demonstrating cost-effective triaging and Clinical Scientist-led services to improve patient care.

Loading...
Thumbnail Image
Authors
King, Emily
Clements, Richard
Proudlove, Nathan
Issue Date
2025-10-10
Type
Journal Article
Language
en
Keywords
Cardiac science , Clinical scientist led clinics , Heart valve clinic , Heart valve disease , Process mapping , Productivity , Quality improvement , Statistical process control , Transthoracic echocardiography
Research Projects
Organizational Units
Journal Issue
Alternative Title
Abstract
Heart valve disease (HVD) is increasing in prevalence in the UK due to the ageing population, placing greater demands on diagnostic heart valve clinics. While many services recognise the need to improve efficiency and standardisation, initiating and implementing excellent quality improvement projects (QIPs) remains a challenge. Particularly for time-constrained service leads with limited resources and experience. This QIP describes a practical, replicable intervention to enhance HVD surveillance services using structured process mapping, root cause analysis and iterative Plan-Do-Study-Act (PDSA) cycles. Key issues identified included premature surveillance bookings, delays in result dissemination, and underutilisation of Clinical Scientists, contributing to inefficient workflows for consultant cardiologists and unnecessary visits for patients. The project introduced guidelined-aligned surveillance intervals, a refined triaging system, and a parallel Clinical Scientist-Led Valve Clinic (SLVC) pathway. Over four PDSA cycles, adherence to British Society of Echocardiography surveillance guidelines improved from 33% to 88%. Mean surveillance earliness was reduced from 3.4 months to 1.2 months in the Cardiologist-Led Care (CLC) pathway and to 0.5 months in the SLVC. Result dispatch times also improved significantly, with SLVC letters averaging 1.4 days (93% dispatched within five working days). A simple cost model suggested a 21% cost reduction if the SLVC pathway was scaled across the surveillance population, with estimated productivity gains of 12% in CLC and 17% through the SLVC, yielding a total projected improvement of 15%. These gains are attributed to optimised triaging, reduced overprocessing and the lower per-patient cost of SLVC delivery. This paper provides a detailed, real-world example of an adaptable QIP. It offers a practical framework for improving HVD surveillance services in resource-constrained settings while achieving measurable clinical and operational benefits.
Description
© The Author(s) 2025. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data
Citation
King, E.; Clements, R. and Proudlove, N. (2025) 'Enhancing heart valve disease surveillance: a quality improvement project demonstrating cost-effective triaging and Clinical Scientist-led services to improve patient care', Echo Research & Practice. Available at: https://doi.org/10.1186/s44156-025-00096-x
Publisher
BMC - Springer Nature
License
Journal
Echo research and practice
Volume
12
Issue
1
PubMed ID
ISSN
2055-0464
EISSN
Collections