11 Uptick/downtick – the future of morbidity and mortality meetings. (1st December 2018)
- Record Type:
- Journal Article
- Title:
- 11 Uptick/downtick – the future of morbidity and mortality meetings. (1st December 2018)
- Main Title:
- 11 Uptick/downtick – the future of morbidity and mortality meetings
- Authors:
- Walker, Helen
Harris, Steve
Rashan, Aasiyah - Abstract:
- Abstract: Introduction: Morbidity and mortality (M and M) meetings are a national requirement for all departments in hospital. While they should confer improvement in education and patient care, they often 'lack defined structure, resource support and…heterogeneity in case evaluation'. 1 UK critical care has an embedded routine audit data collection on outcomes which is exported to a central body, Intensive Care National Audit and Research Centre (ICNARC), for cleaning and analysis. This data is submitted monthly but is returned on a quarterly basis preventing the timely identification of deaths or survivals that are unexpected (based on case-mix). In critical care, where the expected mortality is high, attention is fatigued if all mortality is reviewed and a more specific approach is required. A fundamental prerequisite for a good M and M meeting is appropriate, targeted case selection. Currently, time is wasted reviewing cases that are selected without systematic focus on 'important variation', so contemporaneous feedback on care is lost and learning and engagement are diminished. To combat this, we have developed a timely, targeted and transformative M and M meeting based on data-driven case selection. Methods: Using code in R to generate an automated variable life-adjusted display (VLAD) chart using near real-time routine data from our electronic health record. This reveals the high yield outlying 'uptick/downtick' patients (patients who survived and should have died andAbstract: Introduction: Morbidity and mortality (M and M) meetings are a national requirement for all departments in hospital. While they should confer improvement in education and patient care, they often 'lack defined structure, resource support and…heterogeneity in case evaluation'. 1 UK critical care has an embedded routine audit data collection on outcomes which is exported to a central body, Intensive Care National Audit and Research Centre (ICNARC), for cleaning and analysis. This data is submitted monthly but is returned on a quarterly basis preventing the timely identification of deaths or survivals that are unexpected (based on case-mix). In critical care, where the expected mortality is high, attention is fatigued if all mortality is reviewed and a more specific approach is required. A fundamental prerequisite for a good M and M meeting is appropriate, targeted case selection. Currently, time is wasted reviewing cases that are selected without systematic focus on 'important variation', so contemporaneous feedback on care is lost and learning and engagement are diminished. To combat this, we have developed a timely, targeted and transformative M and M meeting based on data-driven case selection. Methods: Using code in R to generate an automated variable life-adjusted display (VLAD) chart using near real-time routine data from our electronic health record. This reveals the high yield outlying 'uptick/downtick' patients (patients who survived and should have died and vice-versa) (figure 1 ). Identifying crucial learning points from the clinical documentation of those selected 'uptick/downtick' patients using a specially developed Intensive Care Unit Structured Case Note Judgement Review format. Presentation of these targeted cases in a structured multi-disciplinary setting with key personnel highlighting the impact of timely narrative feedback, promoting staff engagement and morale and encouraging the growth of a proactive culture of safety and quality. Results: The VLAD cumulatively charts the effect of each individual admission using the ICNARC generated probability of death. Each death represents a 'downtick' in the plot and each survivor represents an 'uptick'. When a patient predicted to survive dies, then the downtick will be prominent (conversely a patient who survives despite a high predicted mortality will make a prominent uptick). Conclusion: Our M and M model is an original in-depth and specific data mine of critical care patient morbidity and mortality. This unique process seeks to provides an enabled and focussed method of case selection and emphasise the potential marginal gains that can be made in patient care. Over time, it will improve future clinical decision making and therefore patient outcomes. Reference: Vreugdenburg, et al . Morbidity and mortality meetings: gold, silver or bronze?ANZ Journal of Surgery2018;88:966–974. … (more)
- Is Part Of:
- Postgraduate medical journal. Volume 94(2018)Supplement 1
- Journal:
- Postgraduate medical journal
- Issue:
- Volume 94(2018)Supplement 1
- Issue Display:
- Volume 94, Issue 1 (2018)
- Year:
- 2018
- Volume:
- 94
- Issue:
- 1
- Issue Sort Value:
- 2018-0094-0001-0000
- Page Start:
- A10
- Page End:
- A10
- Publication Date:
- 2018-12-01
- Subjects:
- Medicine -- Periodicals
610 - Journal URLs:
- http://pmj.bmj.com/ ↗
https://academic.oup.com/pmj ↗
http://www.bmj.com/archive ↗ - DOI:
- 10.1136/postgradmedj-2018-fpm.22 ↗
- Languages:
- English
- ISSNs:
- 0032-5473
- 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:
- 26923.xml