Hospital admissions for stroke and bleeding in Hounslow following a quality improvement initiative. Issue 1 (1st March 2021)

• Record Type: Journal Article
• Authors: Wong, Kam Ying; Davies, Bethan; Adeleke, Yewande; Woodcock, Thomas; Matthew, Dionne; Sekelj, Sara; Orlowski, Andi; Porter, Bradley; Hashmy, Sophia; Mathew, Ammu; Grant, Ron; Kaba, Agnes; Unger-Graeber, Brigitte; Petrungaro, Bruno; Wallace, Jordan; Bell, Derek; Cowie, Martin R; Khan, Sadia
• Is Part Of: Open heart. Volume 8:Issue 1(2021)
• Publication Date: 2021-03-01
• Subjects: electrocardiography -- atrial fibrillation -- stroke -- quality of health care -- translational medical research; Cardiology -- Periodicals; Heart -- Diseases -- Periodicals; Heart -- Diseases -- Patients -- Periodicals; 616.12005
• DOI: 10.1136/openhrt-2020-001558
• Languages: English
• ISSNs: 2398-595X

Abstract

Abstract : Objective: Atrial fibrillation (AF) is the most common arrhythmia. Undiagnosed and poorly managed AF increases risk of stroke. The Hounslow AF quality improvement (QI) initiative was associated with improved quality of care for patients with AF through increased detection of AF and appropriate anticoagulation. This study aimed to evaluate whether there has been a change in stroke and bleeding rates in the Hounslow population following the QI initiative. Methods: Using hospital admissions data from January 2011 to August 2018, interrupted time series analysis was performed to investigate the changes in standardised rates of admission with stroke and bleeding, following the start of the QI initiative in October 2014. Results: There was a 17% decrease in the rate of admission with stroke as primary diagnosis (incidence rate ratio (IRR) 0.83; 95% CI 0.712 to 0.963; p<0.014). There was an even larger yet not statistically significant decrease in admission with stroke as primary diagnosis and AF as secondary diagnosis (IRR 0.75; 95% CI 0.550 to 1.025; p<0.071). No significant changes were observed in bleeding admissions. For each outcome, an additional regression model including both the level change and an interaction term for slope change was created. In all cases, the slope change was small and not statistically significant. Conclusion: Reduction in stroke admissions may be associated with the AF QI initiative. However, the immediate level change and non-significant slope change suggests a lack of effect of the intervention over time and that the decrease observed may be attributable to other events.