6 research outputs found
Former people of planet Earth v the World Corporate Alliance
This landmark judgment is set in an intergalactic virtual courtroom 800 years into the future. This is a post-Anthropocene judgment where all complex life on Earth has ceased to exist, due to human destruction of the environment. The concurrent application, hearing, and judgment, delivered by Artificial Intelligence in 12 milliseconds, draws on over 1000 years of applied law, discovered by the alien species in computer databanks, maintained by the existing corporate inhabitants of the Earth. In this post-human future, the Intergalactic Court of Justice hears a case against the collective negligence of global corporations which dominated Earth prior to its destruction and determines whether the planet is available for immediate colonisation non-vitae. The case will examine the origin and development of the corporation as the architect of destruction of the biosphere, formerly known by its inhabitants as Earth, using information taken from the extinct species’ global databases
The Boomerang study: increased hospital re-admission via the emergency department
Aims
This research was performed to assess if a reduced length of hospital stay was associated with in-creased re-attendances to, and re-admissions from, the Emergency Department (ED).
Methods
Inpatient discharge and ED attendance records over a ten-year period were sampled and collated. Independent sample t-tests and regression were used to assess changes.
Results
The analyses found a statistically significant decrease in inpatient hospital length of stay (7.34 to 6.69 days) and a significant increase in ED re-attendance for recently discharged inpatients from 8.88% (539/6065) to 10.98% (687/6255). However, the overall percentage of inpatients returning to a hos-pital bed within 30 days of discharge did not change significantly from 12.30% (746/6065) to 12.65% (791/6255).
Conclusion
Results confirm that an increasing percentage of recently discharged inpatients are attending the ED. This finding does not support the hypothesis that increased ED re-attendance of recently discharged inpatients is due to reduced hospital stay because the overall re-admission rate for recently discharged inpatients did not increase. Instead, further analysis revealed a significant change in the re-entry route as the increase in ED attendances is mirrored by a decrease in hospital re-admission via other routes (e.g. outpatient clinics). This change has increased the workload of an already overcrowded ED.</p
The Boomerang study: increased hospital re-admission via the emergency department
Aims
This research was performed to assess if a reduced length of hospital stay was associated with in-creased re-attendances to, and re-admissions from, the Emergency Department (ED).
Methods
Inpatient discharge and ED attendance records over a ten-year period were sampled and collated. Independent sample t-tests and regression were used to assess changes.
Results
The analyses found a statistically significant decrease in inpatient hospital length of stay (7.34 to 6.69 days) and a significant increase in ED re-attendance for recently discharged inpatients from 8.88% (539/6065) to 10.98% (687/6255). However, the overall percentage of inpatients returning to a hos-pital bed within 30 days of discharge did not change significantly from 12.30% (746/6065) to 12.65% (791/6255).
Conclusion
Results confirm that an increasing percentage of recently discharged inpatients are attending the ED. This finding does not support the hypothesis that increased ED re-attendance of recently discharged inpatients is due to reduced hospital stay because the overall re-admission rate for recently discharged inpatients did not increase. Instead, further analysis revealed a significant change in the re-entry route as the increase in ED attendances is mirrored by a decrease in hospital re-admission via other routes (e.g. outpatient clinics). This change has increased the workload of an already overcrowded ED.</p
STIMULATE-ICP-Delphi (Symptoms, Trajectory, Inequalities and Management: Understanding Long-COVID to Address and Transform Existing Integrated Care Pathways Delphi): Study protocol
Introduction As mortality rates from COVID-19 disease fall, the high prevalence of long-term sequelae (Long COVID) is becoming increasingly widespread, challenging healthcare systems globally. Traditional pathways of care for Long Term Conditions (LTCs) have tended to be managed by disease-specific specialties, an approach that has been ineffective in delivering care for patients with multi-morbidity. The multi-system nature of Long COVID and its impact on physical and psychological health demands a more effective model of holistic, integrated care. The evolution of integrated care systems (ICSs) in the UK presents an important opportunity to explore areas of mutual benefit to LTC, multi-morbidity and Long COVID care. There may be benefits in comparing and contrasting ICPs for Long COVID with ICPs for other LTCs. Methods and analysis This study aims to evaluate health services requirements for ICPs for Long COVID and their applicability to other LTCs including multi-morbidity and the overlap with medically not yet explained symptoms (MNYES). The study will follow a Delphi design and involve an expert panel of stakeholders including people with lived experience, as well as clinicians with expertise in Long COVID and other LTCs. Study processes will include expert panel and moderator panel meetings, surveys, and interviews. The Delphi process is part of the overall STIMULATE-ICP programme, aimed at improving integrated care for people with Long COVID. Ethics and dissemination Ethical approval for this Delphi study has been obtained (Research Governance Board of the University of York) as have approvals for the other STIMULATE-ICP studies. Study outcomes are likely to inform policy for ICPs across LTCs. Results will be disseminated through scientific publication, conference presentation and communications with patients and stakeholders involved in care of other LTCs and Long COVID
STIMULATE-ICP-Delphi (Symptoms, Trajectory, Inequalities and Management: Understanding Long-COVID to Address and Transform Existing Integrated Care Pathways Delphi): Study protocol
Introduction As mortality rates from COVID-19 disease fall, the high prevalence of long-term sequelae (Long COVID) is becoming increasingly widespread, challenging healthcare systems globally. Traditional pathways of care for Long Term Conditions (LTCs) have tended to be managed by disease-specific specialties, an approach that has been ineffective in delivering care for patients with multi-morbidity. The multi-system nature of Long COVID and its impact on physical and psychological health demands a more effective model of holistic, integrated care. The evolution of integrated care systems (ICSs) in the UK presents an important opportunity to explore areas of mutual benefit to LTC, multi-morbidity and Long COVID care. There may be benefits in comparing and contrasting ICPs for Long COVID with ICPs for other LTCs. Methods and analysis This study aims to evaluate health services requirements for ICPs for Long COVID and their applicability to other LTCs including multi-morbidity and the overlap with medically not yet explained symptoms (MNYES). The study will follow a Delphi design and involve an expert panel of stakeholders including people with lived experience, as well as clinicians with expertise in Long COVID and other LTCs. Study processes will include expert panel and moderator panel meetings, surveys, and interviews. The Delphi process is part of the overall STIMULATE-ICP programme, aimed at improving integrated care for people with Long COVID. Ethics and dissemination Ethical approval for this Delphi study has been obtained (Research Governance Board of the University of York) as have approvals for the other STIMULATE-ICP studies. Study outcomes are likely to inform policy for ICPs across LTCs. Results will be disseminated through scientific publication, conference presentation and communications with patients and stakeholders involved in care of other LTCs and Long COVID
