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How, in what contexts, and why do quality dashboards lead to improvements in care quality in acute hospitals? Protocol for a realist feasibility evaluation.
Randell, Rebecca; Alvarado, Natasha; McVey, Lynn; Greenhalgh, Joanne; West, Robert M; Farrin, Amanda; Gale, Chris; Parslow, Roger; Keen, Justin; Elshehaly, Mai; Ruddle, Roy A; Lake, Julia; Mamas, Mamas; Feltbower, Richard; Dowding, Dawn.
Affiliation
  • Randell R; Faculty of Health Studies, University of Bradford, Bradford, West Yorkshire, UK r.randell@bradford.ac.uk.
  • Alvarado N; Wolfson Centre for Applied Health Research, Bradford, UK.
  • McVey L; Wolfson Centre for Applied Health Research, Bradford, UK.
  • Greenhalgh J; School of Healthcare, University of Leeds, Leeds, West Yorkshire, UK.
  • West RM; Wolfson Centre for Applied Health Research, Bradford, UK.
  • Farrin A; School of Healthcare, University of Leeds, Leeds, West Yorkshire, UK.
  • Gale C; Sociology and Social Policy, University of Leeds, Leeds, UK.
  • Parslow R; Leeds Institute of Health Sciences, University of Leeds, Leeds, UK.
  • Keen J; Clinical Trials Research Unit, University of Leeds, Leeds, UK.
  • Elshehaly M; School of Medicine, University of Leeds, Leeds, UK.
  • Ruddle RA; School of Medicine, University of Leeds, Leeds, UK.
  • Lake J; Leeds Institute of Health Sciences, University of Leeds, Leeds, UK.
  • Mamas M; Faculty of Engineering & Informatics, University of Bradford, Bradford, UK.
  • Feltbower R; School of Computing, University of Leeds, Leeds, West Yorkshire, UK.
  • Dowding D; Leeds Teaching Hospitals NHS Trust, Leeds, UK.
BMJ Open ; 10(2): e033208, 2020 02 25.
Article in En | MEDLINE | ID: mdl-32102812
INTRODUCTION: National audits are used to monitor care quality and safety and are anticipated to reduce unexplained variations in quality by stimulating quality improvement (QI). However, variation within and between providers in the extent of engagement with national audits means that the potential for national audit data to inform QI is not being realised. This study will undertake a feasibility evaluation of QualDash, a quality dashboard designed to support clinical teams and managers to explore data from two national audits, the Myocardial Ischaemia National Audit Project (MINAP) and the Paediatric Intensive Care Audit Network (PICANet). METHODS AND ANALYSIS: Realist evaluation, which involves building, testing and refining theories of how an intervention works, provides an overall framework for this feasibility study. Realist hypotheses that describe how, in what contexts, and why QualDash is expected to provide benefit will be tested across five hospitals. A controlled interrupted time series analysis, using key MINAP and PICANet measures, will provide preliminary evidence of the impact of QualDash, while ethnographic observations and interviews over 12 months will provide initial insight into contexts and mechanisms that lead to those impacts. Feasibility outcomes include the extent to which MINAP and PICANet data are used, data completeness in the audits, and the extent to which participants perceive QualDash to be useful and express the intention to continue using it after the study period. ETHICS AND DISSEMINATION: The study has been approved by the University of Leeds School of Healthcare Research Ethics Committee. Study results will provide an initial understanding of how, in what contexts, and why quality dashboards lead to improvements in care quality. These will be disseminated to academic audiences, study participants, hospital IT departments and national audits. If the results show a trial is feasible, we will disseminate the QualDash software through a stepped wedge cluster randomised trial.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Hospital Information Systems / Quality Improvement / Hospital Bed Capacity Type of study: Clinical_trials / Prognostic_studies / Qualitative_research Limits: Humans Language: En Journal: BMJ Open Year: 2020 Type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Hospital Information Systems / Quality Improvement / Hospital Bed Capacity Type of study: Clinical_trials / Prognostic_studies / Qualitative_research Limits: Humans Language: En Journal: BMJ Open Year: 2020 Type: Article