Wund(er)heilung mit Amnion – DGFG erhält deutschen Wundpreis 2021
Ausschreibung DGNI-Pflege- und Therapiepreis 2022
Ausschreibung: Otsuka Team Award Psychiatry+ 2021
BGW-Gesundheitspreis 2022: Gute Praxis aus der Altenpflege gesucht!
Aktionsbündnis Patientensicherheit vergibt Deutschen Preis für Patientensicherheit 2021 an herausragende…
8.-10. September 2021: Weimar Sepsis Update 2021 – Beyond the…
13.09. – 18.09.2021: Viszeralmedizin 2021
24.06. – 26.06.2021: 27. Jahrestagung der Deutschen Gesellschaft für Radioonkologie
17.06. – 19.06.2021: 47. Jahrestagung der Gesellschaft für Neonatologie und…
16. bis 18. Juni 2021: Deutscher Kongress für Psychosomatische Medizin…
Researchers have identified the point at which hospitals begin to fail, resulting in deaths of critically ill patients
Researchers identify the safety ‘tipping point’ at which hospitals fail
Cambridge, UK (March, 17 2014) – The Safety Tipping Point for hospitals occurs when they reach occupancy levels far below 100% according to a new study to be released shortly in US journal Management Science. The three academics involved investigated bed occupancy levels and death tolls in 256 clinical departments of 83 German hospitals during 2004/05 and identified a severe mortality tipping point at 92.5% occupancy.
In their paper, Stress on the Ward: Evidence of Safety Tipping Points in Hospitals, Stefan Scholtes (Professor of Health Management at Cambridge Judge Business School), Ludwig Kuntz (Professor of Health Management, University of Cologne) and Roman Mennicken (Researcher, RWI Essen*) studied the discharge records of 82,280 patients with a high risk of mortality from six conditions – acute myocardial infarction, congestive heart failure, gastrointestinal haemorrhage, hip replacement after fracture, pneumonia, and stroke.
Of these patients, 17.4% experienced occupancy levels above the estimated tipping point of 92.5% on at least one day during their first week in hospital. The researchers estimate that one in seven deaths (14.4%) among these patients is attributable to occupancy alone and could have been avoided had these patients not been exposed to high occupancy levels.
Scholtes said: “We all suspected that outcomes would deteriorate, but previously there were assumptions of gradual deterioration. What our research revealed is that there is, in fact, a tipping point which was triggered strongly at midnight occupancy levels of around 92% in our data. When the tipping point was exceeded, patients began dying in significant numbers. We were shocked by the size of the effect: if, as the data suggests, one in seven deaths are attributable to high occupancy, when hospital departments exceed the tipping point, then we have a Mid Staffs situation in many hospitals – every once in a while.
“If the tipping point is reached frequently, the hospital will experience a sustained quality problem, which may threaten its survival. Even more worryingly, if the tipping point is only exceeded occasionally, the dangerous situation may go unnoticed because it is not statistically detectable in aggregate hospital data. The hospital appears safe when it isn’t.”
The tipping point occurs when managers’ escalation policies and staff workload ‘buffers’ have been exhausted, says Scholtes: “At very high occupancy levels, the buffers in place to cope with an influx of patients are depleted and the managers’ response is inhibited because they are effectively out of options. The pressure is passed on to front-line staff, who are unable to escape it. They then respond in two ways: first, by consciously cutting corners and second, by subconsciously committing more errors as a result of elevated stress levels. As a consequence, quality of care and safety will deteriorate during periods of high utilisation in hospitals.”
The researchers go on to suggest a simple strategy for avoiding the tipping point – making better use of capacity pooling with neighbouring hospitals.
When they factored pooling with nearby hospitals into their research they found that, if pooling had happened at the hospitals they examined, it would have reduced the 71,510 patient-days with peak occupancy above the tipping point, down to 50,302 – a reduction of 30% that would have saved lives. Scholtes commented:
“We have estimated that, in our sample, more than a third of the deaths that are attributable to high occupancy could have been avoided if capacity had been pooled with nearby hospitals.”
The researchers also stress the importance of flexible capacity in managing the tipping point. When hospitals reduce costs by closing beds, they could mitigate the safety effect by keeping the bed infrastructure, but staffing these beds only when a department approaches the safety tipping point. They estimate that, at the margin, flexible capacity can save up to 40% of a fully staffed bed, while maintaining comparable safety standards.
The results of their research should make hospitals re-think their strategies for high occupancy, Scholtes, Kuntz and Mennicken conclude:
“Our results provide ammunition for operations managers when their finance colleagues argue that capacity can be reduced while activity and safety levels are maintained.”
*The Rheinisch-Westfälisches Institut für Wirtschaftsforschung
Cambridge Judge Business School, University of Cambridge, 17.03.2014 (tB) Thomas Backe