Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Evaluating quality improvement at scale

A pilot study on routine reporting for executive board governance in a UK National Health Service organisation

Bibliographic Data

ID21456814
AuthorsKia‐Chong Chua (0000-0002-6693-6333, King's College London, corresponding author), Claire Henderson (0000-0002-6998-5659, King's College London), Barbara Grey (South London and Maudsley NHS Foundation Trust), Michael Holland (0000-0002-9173-4100, South London and Maudsley NHS Foundation Trust), Nick Sevdalis (0000-0001-7560-8924, King's College London)
Year2023
Volume97
Pages102222
Publication date2023-04-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEvaluation and Program Planning (JOURNAL)
Journal identifiersISSN: 0149-7189 • E-ISSN: 1873-7870
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.evalprogplan.2022.102222
PMID36586303
OpenAlexW4313367989
LanguageEN
References cited25

BACKGROUND: Quality improvement (QI) in healthcare is a cultural transformation process. We explored how routine reporting could be developed to aid visibility of the process for QI governance. METHOD: A retrospective evaluation of QI projects in a large healthcare organisation was conducted. We used an online survey so that the data accrual process resembled routine reporting to help identify implementation challenges. A purposive sample of QI projects was targeted to maximise contrast between projects that were or were not successful as determined by the resident QI team. To hone strategic focus in what should be reported, we also compared factors that might affect project outcomes. RESULTS: Out of 52 QI projects, 10 led to a change in routine practice ('adoption'). Details of project outcomes were limited. Project team outcomes, indicative of capacity building, were not systematically documented. Service user involvement, quality of measurement plan, fidelity of plan-do-study-act (PDSA) cycles had a major impact on adoption. CONCLUSION: Designing a routine reporting framework requires an iterative process to navigate data accrual demands. A retrospective evaluation, as in this study, can yield empirical insights to support development of QI governance, thereby honing the implementation science of QI in a healthcare organisation

Business · Corporate governance · Economics · Executive board · Executive summary · Geography · Management · Political science · Process management · Quality (philosophy) · Scale (ratio) · Service (business) · Service quality · Accounting · Finance · Health Policy Implementation Science · Healthcare Quality and Management · Marketing · Patient Safety and Medication Errors · Public Administration

  • How Big is a Big Odds Ratio? Interpreting the Magnitudes of Odds Ratios in Epidemiological Studies

    Henian Chen, Patricia Cohen et al.•Communications in Statistics -…•2010

  • Learning behaviours in the workplace

    Open Access•Abraham Carmeli, Daphna Brueller et al.•Systems Research and Behavioral…•2009

  • Systematic review of the application of the plan–do–study–act method to improve quality in healthcare

    Michael J Taylor, Chris McNicholas et al.•BMJ Quality & Safety•2014

  • Redesigning mental health services

    Open Access•Glenn Robert, Jeanne Hardacre et al.•Health Expectations•2003

  • Optimizing patient involvement in quality improvement

    Open Access•N Armstrong, Georgia Herbert et al.•Health Expectations•2013

  • Making it safe

    Open Access•Ingrid M Nembhard, Amy C Edmondson•Journal of Organizational Behavior•2006

  • Measuring Success for Health Care Quality Improvement Interventions

    Kristy Gonzalez Morganti, Susan Lovejoy et al.•Medical Care•2012

  • Taking the heat or taking the temperature? A qualitative study of a large-scale exercise in seeking to measure for improvement, not blame

    Open Access•N Armstrong, Liz Brewster et al.•Social Science & Medicine•2018

Citation velocityhistorical
Highly citedNo
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae