31 Adoption of a single-page best practice algorithm reduces unnecessary stroke risk and improves arrhythmia management decisions in patients with acute atrial fibrillation: improving patient safety at north middlesex university hospital. (June 2018)
- Record Type:
- Journal Article
- Title:
- 31 Adoption of a single-page best practice algorithm reduces unnecessary stroke risk and improves arrhythmia management decisions in patients with acute atrial fibrillation: improving patient safety at north middlesex university hospital. (June 2018)
- Main Title:
- 31 Adoption of a single-page best practice algorithm reduces unnecessary stroke risk and improves arrhythmia management decisions in patients with acute atrial fibrillation: improving patient safety at north middlesex university hospital
- Authors:
- Maclean, Edd
Golding, Daniella de Block
Maden, Samantha
Patel, Shreena
Joseph, Olaminposi
Boot, Jesca
Denning, Max
Rear, Roger - Abstract:
- Abstract : Objectives: In response to a serious incident involving an atrial fibrillation (AF) associated stroke, a quality improvement project was established to examine and abrogate unnecessary thromboembolic risk in patients presenting with acute AF to London's North Middlesex University Hospital (NMUH). Methods: The presenting complaint was examined for 2105 consecutive medical admissions to identify 100 patients (4.7%) with acute AF. For each patient, 36 indices and performance indicators were collected and analysed against international standards and the collective best practice of the local Cardiology team. Deficiencies were identified throughout the inpatient experience, including documentation, risk stratification, anticoagulation and arrhythmia management decisions. With cross-specialty collaboration, a single-page AF management algorithm was subsequently established using sequential PDSA Methodology, and following its Introduction a further 100 consecutive patients with acute AF were analysed prospectively. Results: Algorithm implementation significantly reduced the proportion of patients exposed to unnecessary stroke risk (30% – >4%, p<0.0001); improved identification and documentation of thromboembolic potential (50% ->88%, p<0.0001), reduced incorrect drug decisions (12% ->2%, p=0.01), reduced contraindicated rhythm control (8% ->0%, p=0.007), and increased direct oral anticoagulant (DOAC) prescribing (38% ->86%, p<0.0001) over warfarin. There was a trendAbstract : Objectives: In response to a serious incident involving an atrial fibrillation (AF) associated stroke, a quality improvement project was established to examine and abrogate unnecessary thromboembolic risk in patients presenting with acute AF to London's North Middlesex University Hospital (NMUH). Methods: The presenting complaint was examined for 2105 consecutive medical admissions to identify 100 patients (4.7%) with acute AF. For each patient, 36 indices and performance indicators were collected and analysed against international standards and the collective best practice of the local Cardiology team. Deficiencies were identified throughout the inpatient experience, including documentation, risk stratification, anticoagulation and arrhythmia management decisions. With cross-specialty collaboration, a single-page AF management algorithm was subsequently established using sequential PDSA Methodology, and following its Introduction a further 100 consecutive patients with acute AF were analysed prospectively. Results: Algorithm implementation significantly reduced the proportion of patients exposed to unnecessary stroke risk (30% – >4%, p<0.0001); improved identification and documentation of thromboembolic potential (50% ->88%, p<0.0001), reduced incorrect drug decisions (12% ->2%, p=0.01), reduced contraindicated rhythm control (8% ->0%, p=0.007), and increased direct oral anticoagulant (DOAC) prescribing (38% ->86%, p<0.0001) over warfarin. There was a trend towards reduced mean inpatient stay (4.7 ->3.5 days, p=0.11). Conclusions: Using established quality improvement Methodology and cost-neutral multi-disciplinary expertise, this novel management algorithm has significantly improved the quality and safety of care for patients with acute AF at NMUH. Prospective analysis of long-term adverse outcomes is underway to establish morbidity or mortality benefit [completion date: May 2018]. … (more)
- Is Part Of:
- Heart. Volume 104(2018)Supplement 6
- Journal:
- Heart
- Issue:
- Volume 104(2018)Supplement 6
- Issue Display:
- Volume 104, Issue 6 (2018)
- Year:
- 2018
- Volume:
- 104
- Issue:
- 6
- Issue Sort Value:
- 2018-0104-0006-0000
- Page Start:
- A29
- Page End:
- A29
- Publication Date:
- 2018-06
- Subjects:
- Atrial fibrillation -- Stroke risk -- Algorithm
Heart -- Diseases -- Treatment -- Periodicals
Cardiology -- Periodicals
616.12 - Journal URLs:
- http://www.bmj.com/archive ↗
http://heart.bmj.com ↗
http://www.heartjnl.com ↗ - DOI:
- 10.1136/heartjnl-2018-BCS.31 ↗
- Languages:
- English
- ISSNs:
- 1355-6037
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 19680.xml