Descartes - alive and well ...

... within the Incident Reporting System

'Policy guidance on recording patient safety events and levels of harm 

This guidance is for users of the new Learn from Patient Safety Events (LFPSE) service, to provide context and guidance on selection of appropriate categories when recording incidents. It focuses on which Event Type is appropriate for different circumstances, and how to select the most appropriate options for the Levels of Harm categorisation required within Patient Safety Incidents.'

Previous harm grades

No harm

Low harm

Moderate harm

Severe harm

Death

individual

|

INTERPERSONAL : SCIENCES

humanistic -------------------------------------------  mechanistic

SOCIOLOGY : POLITICAL

|

group-population

New psychological harm grades No psychological harm Low psychological harm  Moderate psychological harm Severe psychological harm n/a	New physical harm grades No physical harm Low physical harm Moderate physical harm Severe physical harm Fatal

Q. 'n/a'. Discuss.

CPD reading.                      

The Role of Generative AI Use in 2024 Elections Worldwide

A high-level précis of the Technical Paper can be found in the Summary for Policymakers report, Generative AI in Electoral Campaigns: Mapping Global Patterns.

IPIE 

GenAI is being deployed in many ways during elections, ranging from the creation of deepfake video and audio messages, to sophisticated voter targeting. What are the implications of GenAI for election administration and voter participation around the world? This assessment delivers the first global, data-driven analysis of its kind, designed to inform policy recommendations that enhance election administration, foster trust in electoral processes, and boost voter turnout.

Based on an analysis of an original data set of 215 incidents, covering all 50 countries holding competitive national elections in 2024, we find that:

• Fully four-fifths (80%) of the countries holding elections in 2024 had GenAI incidents.  
• The vast majority (90%) of incidents involved content creation, such as audio messages, images, videos, and social media posts.
• Almost half of the incidents have no known source (46%), a quarter were produced by political candidates and parties (25%), a fifth were produced by foreign actors (20%), and the remainder came from other sources (9%).
• More than two-thirds (69%) of the incidents were described as having a harmful role in the election.

We encourage you to check out the full report, Summary for Policymakers, and press release announcement on our website.

My source: IPIE email.

Conference: Safety and Quality in Mental Health: Improvement - Led Care c/o RSM

'This event will explore successful strategies for enhancing patient safety and driving quality improvement in mental health services.

This timely event addresses the critical issues highlighted by recent high-profile incidents in mental health care. Keynote speakers, including Adrian James, the National Clinical Director of Mental Health, and Shubulade Smith, President of the Royal College of Psychiatrists, will share their experiences of leading organisations through challenging situations. Jonathan Warren, co-author of the Edenfield report, will also provide unique insights.

Key Themes:

• Supporting staff through traumatic incidents
• Amplifying patient and family voices
• Service redesign for safer care
• Innovative use of data for improved outcomes
• Learning from significant events to prevent recurrence
• Balancing human rights with public protection ...'

at: Royal Society of Medicine, 

1 Wimpole St, 

Marylebone, 

London, 

W1G 0AE, United Kingdom

more details ...

"Registered Nurse RN": What is in a Title?

or, Here is Saturday's Multidisciplinary Team selection;
Registered Nurses on the subs bench;
On the Roll, or Roll with the Times?

While never a union/professional body (formal) representative, I have as a nursing assistant then student nurse been aware of the 'political' in health. Once again perhaps another way in which I was primed to the reality of staff as a key (the) resource and hence the centrality of the workforce. Abbreviations are ever present and I remember RAWP - Resource Allocation Working Party; which also drew attention to geography and scale. Unfortunately, the vitality of the workforce has suffered with workforce planning inconsistently exercised.

Once again, I also recall a presentation by Derek Hoy on the need for information systems (data - information - knowledge . . .) through nurse informatics to help make nursing visible. It seems this is still an issue, for example:

Lyu, XC., Huang, SS., Ye, XM. et al. What influences newly graduated registered nurses’ intention to leave the nursing profession? An integrative review. BMC Nurs 23, 57 (2024). https://doi.org/10.1186/s12912-023-01685-z

Leamy, M., Sims, S., Levenson, R. et al. Intentional rounding: a realist evaluation using case studies in acute and care of older people hospital wards. BMC Health Serv Res 23, 1341 (2023). https://doi.org/10.1186/s12913-023-10358-1

Stadnicka, S.K., Zarzycka, D. Perception of the professional self-image by nurses and midwives. Psychometric adaptation of the Belimage questionnaire. BMC Nurs 22, 412 (2023). https://doi.org/10.1186/s12912-023-01564-7

 
Last month on a trip to Hay-on-Wye I picked up some back-issues of London Review of Books. Needless to say, in light of space and the clearing exercise I was very selective. The pearl of an essay cited below prompted me to wonder on the silence, quietness, lack of noise - invisibility even - of certain wards where registered nurses are present: or not? How and what data is captured and interpreted for reporting purposes and how meaning is gleaned and by whom? Making a difference in terms of patient safety and the quality of care:

LRB 45:18

"Call​ it the Jaap Stam conundrum. The story is told in Rory Smith’s entertaining book about the use of data in football, Expected Goals. Stam was a very talented but ageing central defender who had for three years been crucial to the success of Alex Ferguson’s Manchester United. Stam got into Ferguson’s bad books, and Ferguson decided to get rid of him, backed by data showing that Stam was now making fewer tackles. Stam was sold to Lazio for £16.5 million. Simon Kuper, co-author of Soccernomics (2009), about the use of numbers in football, wrote that this might have been the first deal in football based partly on data. It was, as Ferguson later admitted, a ‘bad decision’. Stam went on to have several productive years at the top of Italian football. The mistake was based on the fact that the data were Delphic. The question Man U wanted to have answered was ‘Should we keep Stam?’ Instead, the oracle answered the question ‘How many tackles is Stam making?’ But, as Smith writes,

'the best defenders do not need to make many tackles. The tackle itself is an act of last resort; great defenders intervene long before anything so tawdry is required. That Stam was making fewer tackles was not a sign that he was getting worse; if anything, it may have been a sign that his anticipation and his positioning and his reading of the game were all improving.'

Football, like Mao’s China, has discovered that getting hold of the data is one thing, interpretation of the data is another. The terms ‘data’ and ‘analytics’ are used interchangeably in sport, Smith points out, but in fact the gathering of data, fuelled by surging interest from sports teams and professional gamblers, has tended significantly to outpace the intelligent analytic use of that data."

("Delphic. It answers the question you ask, but it doesn’t tell you what to do.")

John Lanchester. Get a rabbit. Vol. 45 No. 18 · 21 September 2023.
https://www.lrb.co.uk/the-paper/v45/n18/john-lanchester/get-a-rabbit 

See also:

Gorsky M, Millward G. Resource Allocation for Equity in the British National Health Service, 1948-89: An Advocacy Coalition Analysis of the RAWP. J Health Polit Policy Law. 2018 Feb 1;43(1):69-108. doi: 10.1215/03616878-4249814. PMID: 28972019; PMCID: PMC6312698.

RAWP

https://www.kcl.ac.uk/sspp/assets/icbh-witness/rawp.pdf