BACKGROUND: Older adults with acute functional decline may visit emergency departments (EDs) for medical support despite a lack of strict medical urgency. The introduction of transitional care teams (TCT) at the ED has shown promise in reducing avoidable admittances. However, the optimal composition and implementation of TCTs are still poorly defined. We evaluated the effect of TCTs consisting of an elderly care physician (ECP) and transfer nurse versus a transfer nurse only on reducing hospital admissions, as well as the experience of patients and caregivers regarding quality of care.
METHODS: We assessed older adults (≥ 65 years) at the ED with acute functional decline but no medical indication for admission. Data were collected on type and post-ED care, and re-visits were evaluated over a 30-day follow-up period. Semi-structured interviews with stakeholders were based on the Consolidated-Framework-for-Implementation-Research, while patient and caregiver experiences were collected through open-ended interviews.
RESULTS: Among older adults (N = 821) evaluated by the TCT, ECP and transfer nurse prevented unnecessary hospitalization at the same rate (81.2%) versus a transfer nurse alone (79.5%). ED re-visits were 15.6% (ECP and transfer nurse) versus 13.5%. The interviews highlighted the added value of an ECP, which consisted of better staff awareness, knowledge transfer and networking with external organizations. The TCT intervention in general was broadly supported, but adaptability was regarded as an important prerequisite.
CONCLUSIONS: Regardless of composition, a TCT can prevent unnecessary hospitalization of older adults without increasing ED re-visiting rates, while the addition of an ECP has a favourable impact on patient and professional experiences.

Identifying alternatives to acute hospital admission is a priority for many countries. Over 200 decentralised municipal acute units (MAUs) were established in Norway to divert low-acuity patients away from hospitals. MAUs have faced criticism for low mean occupancy and not relieving pressures on hospitals. We developed a discrete time simulation model of admissions and discharges to MAUs to test scenarios for increasing absolute mean occupancy. We also used the model to estimate the number of patients turned away as historical data was unavailable. Our experiments suggest that mergers alone are unlikely to substantially increase MAU absolute mean occupancy as unmet demand is generally low. However, merging MAUs offers scope for up to 20% reduction in bed capacity, without affecting service provision. Our work has relevance for other admissions avoidance units and provides a method for estimating unconstrained demand for beds in the absence of historical data.

BACKGROUND: To identify the impact of enrolment onto a national pulse oximetry remote monitoring programme for COVID-19 (COVID-19 Oximetry @home; CO@h) on health service use and mortality in patients attending Emergency Departments (EDs).
METHODS: We conducted a retrospective matched cohort study of patients enrolled onto the CO@h pathway from EDs in England. We included all patients with a positive COVID-19 test from 1 October 2020 to 3 May 2021 who attended ED from 3 days before to 10 days after the date of the test. All patients who were admitted or died on the same or following day to the first ED attendance within the time window were excluded. In the primary analysis, participants enrolled onto CO@h were matched using demographic and clinical criteria to participants who were not enrolled. Five outcome measures were examined within 28 days of first ED attendance: (1) Death from any cause; (2) Any subsequent ED attendance; (3) Any emergency hospital admission; (4) Critical care admission; and (5) Length of stay.
RESULTS: 15 621 participants were included in the primary analysis, of whom 639 were enrolled onto CO@h and 14 982 were controls. Odds of death were 52% lower in those enrolled (95% CI 7% to 75%) compared with those not enrolled onto CO@h. Odds of any ED attendance or admission were 37% (95% CI 16% to 63%) and 59% (95% CI 32% to 91%) higher, respectively, in those enrolled. Of those admitted, those enrolled had 53% (95% CI 7% to 76%) lower odds of critical care admission. There was no significant impact on length of stay.
CONCLUSIONS: These findings indicate that for patients assessed in ED, pulse oximetry remote monitoring may be a clinically effective and safe model for early detection of hypoxia and escalation. However, possible selection biases might limit the generalisability to other populations.

BACKGROUND: We investigate whether admission from a consultant-led ED is associated with ED occupancy or crowding and inpatient (bed) occupancy.
METHODS: We used general additive logistic regression to explore the relationship between the probability of an ED patient being admitted, ED crowding and inpatient occupancy levels. We adjust for patient, temporal and attendance characteristics using data from 13 English NHS Hospital Trusts in 2019. We define quintiles of occupancy in ED and for four types of inpatients: emergency, overnight elective, day case and maternity.
RESULTS: Compared with periods of average occupancy in ED, a patient attending during a period of very high (upper quintile) occupancy was 3.3% less likely (relative risk (RR) 0.967, 95% CI 0.958 to 0.977) to be admitted, whereas a patient arriving at a time of low ED occupancy was 3.9% more likely (RR 1.039 95% CI 1.028 to 1.050) to be admitted. When the number of overnight elective, day-case and maternity inpatients reaches the upper quintile then the probability of admission from ED rises by 1.1% (RR 1.011 95% CI 1.001 to 1.021), 3.8% (RR 1.038 95% CI 1.025 to 1.051) and 1.0% (RR 1.010 95% CI 1.001 to 1.020), respectively. Compared with periods of average emergency inpatient occupancy, a patient attending during a period of very high emergency inpatient occupancy was 1.0% less likely (RR 0.990 95% CI 0.980 to 0.999) to be admitted and a patient arriving at a time of very low emergency inpatient occupancy was 0.8% less likely (RR 0.992 95% CI 0.958 to 0.977) to be admitted.
CONCLUSIONS: Admission thresholds are modestly associated with ED and inpatient occupancy when these reach extreme levels. Admission thresholds are higher when the number of emergency inpatients is particularly high. This may indicate that riskier discharge decisions are taken when beds are full. Admission thresholds are also high when pressures within the hospital are particularly low, suggesting the potential to safely reduce avoidable admissions.

Annual outbreaks of seasonal influenza cause a substantial health burden. The aim of this study was to compare patient demographic/clinical data in two influenza patient groups presenting to hospital; those requiring O2 or critical care admission and those requiring less intensive treatment. The study was conducted from 1 December 2017 until 1 April 2019 at a district general hospital in East London. Patient demographic and clinical information was collected for all patients who had tested influenza positive by near-patient testing. χ2 test was used for categorical variables to see if there were significant differences for those admitted and the Wilcoxon rank-sum test to compare the length of inpatient stay. Of 127 patients, 56 (44.1%) required oxygen or critical care. There were significant increases in National Early Warning Score (NEWS) observations (P %3C .001), Charlson comorbidity index (P = .049), length of inpatient stay (P %3C .001), and a strong association with increasing age (P = .066) when the more intensive treatment group was compared with the less intensive treatment group. A total of 13 (18.3%) of 71 patients not requiring oxygen or critical care were not admitted to the hospital. Following rapid influenza testing, NEWS scores, comorbidities, and age should be incorporated into a decision tool in Accident and Emergency to aid hospital admission or discharge decisions.

Paramedics are increasingly required to make complex decisions as to whether they should convey a patient to hospital or manage their condition at the scene. Dementia can be a significant barrier to the assessment process. However, to our knowledge no research has specifically examined the process of decision-making by paramedics in relation to people with dementia. This qualitative study was designed to investigate the factors influencing the decision-making process during Emergency Medical Services (EMS) calls to older people with dementia who did not require immediate clinical treatment.
This qualitative study used a combination of observation, interview and document analysis to investigate the factors influencing the decision-making process during EMS calls to older people with dementia. A researcher worked alongside paramedics in the capacity of observer and recruited eligible patients to participate in case studies. Data were collected from observation notes of decision-making during the incident, patient care records and post incident interviews with participants, and analysed thematically.
Four main themes emerged from the data concerning the way that paramedics make conveyance decisions when called to people with dementia: 1) Physical condition; the key factor influencing paramedics\' decision-making was the physical condition of the patient. 2) Cognitive capacity; most of the participants preferred not to remove patients with a diagnosis of dementia from surroundings familiar to them, unless they deemed it absolutely essential. 3) Patient circumstances; this included the patient\'s medical history and the support available to them. 4) Professional influences; participants also drew on other perspectives, such as advice from colleagues or information from the patient\'s General Practitioner, to inform their decision-making.
The preference for avoiding unnecessary conveyance for patients with dementia, combined with difficulties in obtaining an accurate patient medical history and assessment, mean that decision-making can be particularly problematic for paramedics. Further research is needed to find reliable ways of assessing patients and accessing information to support conveyance decisions for EMS calls to people with dementia.

BACKGROUND: Attempts to design services to support the delivery of healthcare closer to home have taken various forms as countries respond to an increase in hospital admission rates for older people, who are at risk of hospital-acquired morbidity, prolonged lengths of stay and readmission. Evidence to support the development of these services is limited. We are conducting a process evaluation, alongside a UK multi-site randomised trial, to understand the contexts and practices of implementing geriatrician-led admission avoidance hospital at home services and to explore ways that the intervention might be effective, under what conditions, for whom, and how it differs from inpatient care.
METHODS: We are interviewing patients and their caregivers, from sites that are purposively sampled from participating National Health Service (NHS) trusts across the UK. We are also visiting sites to observe local processes and discuss the establishment and running of services with a range of multidisciplinary staff, managers, commissioners, primary care and social services representatives. We aim to interview approximately 36 patients and their caregivers with experience of hospital at home or inpatient services; 12 at each of three sites. We will use a content analysis approach to explore data across participants, services and sites.
CONCLUSIONS: This process evaluation will enable evaluation of implementation processes prior to knowing trial outcomes. We encompass domains of reach, delivery, change, context and response to the intervention by patients, their carers, health professionals and the health system.
BACKGROUND: ISRCTN60477865 . Registered on 10 March 2014. Trial sponsor: University of Oxford. Version 3.1, registered on 14 June 2016.

An increasing number of older people are calling ambulances and presenting to accident and emergency departments. The presence of comorbidities and dementia can make managing these patients more challenging and hospital admission more likely, resulting in poorer outcomes for patients. However, we do not know how many of these patients are conveyed to hospital by ambulance. This study aims to determine: how often ambulances are called to older people; how often comorbidities including dementia are recorded; the reason for the call; provisional diagnosis; the amount of time ambulance clinicians spend on scene; the frequency with which these patients are transported to hospital.
We conducted a retrospective cross-sectional study of ambulance patient care records (PCRs) from calls to patients aged 65 years and over. Data were collected from two ambulance services in England during 24 or 48 hours periods in January 2017 and July 2017. The records were examined by two researchers using a standard template and the data were extracted from 3037 PCRs using a coding structure.
Results were reported as percentages and means with 95% CIs. Dementia was recorded in 421 (13.9%) of PCRs. Patients with dementia were significantly less likely to be conveyed to hospital following an emergency call than those without dementia. The call cycle times were similar for patients regardless of whether or not they had dementia. Calls to people with dementia were more likely to be due to injury following a fall. In the overall sample, one or more comorbidities were reported on the PCR in over 80% of cases.
Rates of hospital conveyance for older people may be related to comorbidities, frailty and complex needs, rather than dementia. Further research is needed to understand the way in which ambulance clinicians make conveyance decisions at scene.

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Many patients with intentional drug overdose (IDO) are admitted to a medium (MC) or intensive care unit (IC) without ever requiring MC/IC related interventions. The objective of this study was to develop a decision tool, using parameters readily available in the emergency room (ER) for patients with an IDO, to identify patients requiring admission to a monitoring unit.
Retrospective cohort study among cases of IDO with drugs having potentially acute effects on neurological, circulatory or ventilatory function, admitted to the MC/IC unit between 2007 and 2013. A decision tool was developed, using 6 criteria, representing intubation, breathing, oxygenation, cardiac conduction, blood pressure, and consciousness. Cases were labeled as \'high acuity\' if one or more criteria were present.
Among 255 cases of IDO that met the inclusion criteria, 197 were identified as \"high acuity\". Only 70 of 255 cases underwent one or more MC/IC related interventions, of which 67 were identified as \'high acuity by the decision tool (sensitivity 95.7%).
In a population of patients with intentional drug overdose with agents having potentially acute effect on vital functions, 95.7% of MC/IC interventions could be predicted by clinical assessment, supplemented with electrocardiogram and blood gas analysis, in the ER.