Retrospective observational study of emergency admission, readmission and the ‘weekend effect’

Objectives - Excess mortality following weekend hospital admission has been observed but not explained. As readmissions have greater age, comorbidity and social deprivation, outcomes following emergency index admission and readmission were examined for temporal and demographic associations to confirm whether weekend readmissions contribute towards excess mortality. Design - A retrospective observational study. Individual patient Hospital Episode Statistics were linked and 2 categories created: index admissions (not within 60 days of discharge from an emergency hospitalisation) and readmissions (within 60 days of discharge from an emergency hospitalisation). Logistic regression examined associations between admission category, weekend and weekday mortality, age, gender, season, comorbidity and social deprivation. Setting - A single acute National Health Service (NHS) trust serving a population of 550 000 via 3 emergency departments. Participants - Emergency admissions between 1 January 2010 and 31 March 2015. Outcome measure - All-cause 30-day mortality. Results - Over 5 years there were 128 966 index admissions (74.7% weekday/25.3% weekend) and 20 030 readmissions (74.9% weekday/25.1% weekend). Adjusted 30-day death rates for weekday/weekend admissions were 6.93%/7.04% for index cases and 12.26%/13.27% for readmissions. Weekend readmissions had a higher mortality risk relative to weekday readmissions (OR 1.10 (95% CI 1.01 to 1.20)) without differences in comorbidity or deprivation. Weekend index admissions did not have a significantly increased mortality risk (OR 1.04 (95% CI 0.98 to 1.11)) but deaths which did occur were associated with lower deprivation (OR 1.24 (95% CI 1.11 to 1.38)) and an absence of comorbidities (OR 1.17 (1.02 to 1.34)). Conclusions - Associations with emergency hospitalisation were not identical for index admissions and readmissions. Further research is needed to confirm what factors are responsible for the ‘weekend effect’

Sequential Simulation (SqS): an empirical and theoretical model

Ethics statement: The authors declare that they have followed the guidelines for scientific integrity and professional ethics. The article does not contain any studies with human or animal subjects. Introduction & Aim: Stroke is one of the leading causes of morbidity and mortality worldwide. In eligible patients with acute ischemic stroke, early treatment with intravenous thrombolysis is crucial for a good patient outcome. We introduced simulation training sessions in conjunction with an improved treatment protocol as part of a quality improvement project to reduce door-to-needle times in stroke thrombolysis. Methods: A questionnaire assessing our preexisting treatment protocol was sent to all members of the stroke team. A panel of experts reviewed the responses and suggested potential changes to streamline the treatment protocol. In February 2017, we introduced the new protocol along with weekly videotaped in-situ scenario based simulation sessions with all stroke team members as participants. Previous stroke patients acted as markers. Kirkpatrick’s four-level training evaluation model was used for assessment. Here we present 1) Participant reactions (level 1) on a Likert item from 0-10, and 2) Median door-to-needle times in stroke thrombolysis, a measure of clinical behavioral change (level 3), using a statistical process control method. Simulated performance and long term patient outcomes will be assessed in future analysis. Results & Discussion: Participant reactions were predominantly positive. Self-perceived learning scored a median of 8 (IQR 7-9). We compared door-to-needle times for 478 prospectively included patients with acute ischemic stroke treated with intravenous thrombolysis at our hospital from January 2014 – July 2017. There was a significant reduction in median door-to-needle time from 27 (IQR 19-41) to 13 minutes (IQR 9-21, p<0.001) for the 78 patients in the post-intervention group. The results remained significant regardless of time of admission. There were no significant changes in the rate of stroke mimics, prehospital time or fatal intracranial hemorrhage. Simulation training in conjunction with protocol improvement led to an immediate and significant reduction of median door-to-needle time in stroke thrombolysis (Fig. 1). To our knowledge, no other published data have shown lower median treatment times. Combining simulation training with protocol change holds promise as a method both for effective implementation and significant results in attempts to reduce in-hospital delays in stroke thrombolysis. Effects on non-technical skills, provider variability and long term patient outcomes are yet to be evaluated

Effects of the Simulation Using Team Deliberate Practice (Sim-TDP) model on the performance of undergraduate nursing students

Background The use of simulation has grown in prominence, but variation in the quality of provision has been reported, leading to calls for further research into the most effective instructional designs. Simulation Using Team Deliberate Practice (Sim-TDP) was developed in response. It combines the principles of simulation with deliberate practice, therefore, providing participants with opportunities to work towards well-defined goals, rehearse skills and reflect on performance whilst receiving expert feedback. This study aimed to compare the effects of Sim-TDP, versus the use of traditional simulation, on the performance of second year adult nursing students. Methods Using a longitudinal quasi-experimental design, the effects of the two approaches were compared over a 1-year period. Sixteen groups, each containing an average of six participants, were randomised into an intervention arm (n=8) or comparison arm (n=8). Data collection took place at 3 monthly intervals, at which point the performance and time to complete the scenario objectives/tasks, as a team, were recorded and analysed using a validated performance tool. Results The independent t-tests, comparing the performance of the groups, did not demonstrate any notable differences during the three phases. However, in phase 1, the independent t-tests suggested an improvement in the Sim-TDP participants’ time spent on task (t (14) = 5.12, p<0.001), with a mean difference of 7.22 min. The mixed analysis of covariance inferred that the use of the Sim-TDP led to an improvement, over time, in the participants’ performance (F(1, 5) = 12.91, p=0.016), and thus, an association between Sim-TDP and the enhanced performance of participants. Conclusion The results suggest that Sim-TDP, potentially, optimised participant performance, while maximising the use of Simulation-based education (SBE) resources, such as simulation facilities and equipment. The model could be of practical benefit to nurse educators wishing to integrate SBE into their programmes

Economic evaluation of integrated new technologies for health and social care: suggestions for policy makers, users and evaluators

With an ageing population there is a move towards the use of assisted living technologies (ALTs) to provide social care and health care services, and to improve service processes. These technologies are at the forefront of the integration of health and social care. However, economic evaluations of ALTs, and indeed economic evaluations of any interventions providing both health benefits and benefits beyond health are complex. This paper considers the challenges faced by evaluators and presents a method of economic evaluation for use with interventions where traditional methods may not be suitable for informing funders and decision makers. We propose a method, combining economic evaluation techniques, that can accommodate health outcomes and outcomes beyond health through the use of a common numeraire. Such economic evaluations can benefit both the public and private sector, firstly by ensuring the efficient allocation of resources. And secondly, by providing information for individuals who, in the market for ALTs, face consumption decisions that are infrequent and for which there may be no other sources of information. We consider these issues in the welfarist, extra-welfarist and capabilities framework, which we link to attributes in an individual production model. This approach allows for the valuation of the health component of any such intervention and the valuation of key social care attributes and processes. Finally, we present a set of considerations for evaluators highlighting the key issues that need to be considered in this type of economic evaluation

Process and Systems: A cohort study to evaluate the impact of service centralisation for emergency admissions with acute heart failure

The aim of our study was to describe the impact of emergency care centralisation on unscheduled admissions with a primary discharge diagnosis of acute heart failure (HF). We carried out a retrospective cohort study of HF admissions 1 year before and 1 year after centralisation of three accident and emergency departments into one within a single large NHS trust. Outcomes included mortality, length of stay, readmissions, specialist inpatient input and follow-up, and prescription rates of stabilising medication. Baseline characteristics were similar for 211 patients before and for 307 following reconfiguration. Median length of stay decreased from 8 to 6 days (p=0.020) without an increase in readmissions (4.7% versus 4.2%, p=0.813). The proportion with specialist follow-up increased (60% to 72%, p=0.036). There was a trend towards decreased mortality (32.2% versus 27.7% at 90 days; p=0.266). Contact with the cardiology team was associated with decreased mortality. In conclusion, centralisation of specialist emergency care was associated with greater service efficiency and a trend towards reduced mortality

Preferences for centralised emergency medical services: discrete choice experiment

Objectives It is desirable that public preferences are established and incorporated in emergency healthcare reforms. The aim of this study was to investigate preferences for local versus centralised provision of all emergency medical services (EMS) and explore what individuals think are important considerations for EMS delivery. Design A discrete choice experiment was conducted. The attributes used in the choice scenarios were: travel time to the hospital, waiting time to be seen, length of stay in the hospital, risks of dying, readmission and opportunity for outpatient care after emergency treatment at a local hospital. Setting North East England. Participants Participants were a randomly sampled general population, aged 16 years or above recruited from Healthwatch Northumberland network database of lay members and from clinical contact with Northumbria Healthcare National Health Service Foundation Trust via Patient Experience Team. Primary and secondary outcome measures Analysis used logistic regression modelling techniques to determine the preference of each attribute. Marginal rates of substitution between attributes were estimated to understand the trade-offs individuals were willing to make. Results Responses were obtained from 148 people (62 completed a web and 86 a postal version). Respondents preferred shorter travel time to hospital, shorter waiting time, fewer number of days in hospital, low risk of death, low risk of readmission and outpatient follow-up care in their local hospital. However, individuals were willing to trade off increased travel time and waiting time for high-quality centralised care. Individuals were willing to travel 9 min more for a 1-day reduction in length of stay in the hospital, 38 min for a 1% reduction in risk of death and 112 min for having outpatient follow-up care at their local hospital. Conclusions People value centralised EMS if it provides higher quality care and are willing to travel further and wait longer

Health care and social care: complements, substitutes and attributes

Ageing populations are a major challenge for most developed countries, where social security systems were developed in the post war period. It has been suggested that the costs of caring for the ageing population places a considerable strain on individuals, as well as on the public purse, and many countries are looking for ways to reduce costs. One of the major issues is the relationship between health care and social care. This paper considers health care and social care as complements and substitutes through a household production framework. We demonstrate how health care and social care are attributes that are valued by individuals and how in the presence of a perfect market individuals would choose combinations of these attributes. We highlight how, even with technical efficiency, sub-optimal combinations of health and social care may be chosen. We also show, through the introduction of a new good, how there may be opportunities to alleviate the costs of the ageing population

Impact of emergency care centralisation on mortality and efficiency: a retrospective service evaluation

Objective: Evidence favours centralisation of emergency care for specific conditions, but it remains unclear whether broader implementation improves outcomes and efficiency. Routine healthcare data examined consolidation of three district general hospitals with mixed medical admission units (MAU) into a single high-volume site directing patients from the ED to specialty wards with consultant presence from 08:00 to 20:00. Methods: Consecutive unscheduled adult index admissions from matching postcode areas were identified retrospectively in Hospital Episode Statistics over a 3-year period: precentralisation baseline (from 16 June 2014 to 15 June 2015; n=18 586), year 1 postcentralisation (from 16 June 2015 to 15 June 2016; n=16 126) and year 2 postcentralisation (from 16 June 2016 to 15 June 2017; n=17 727). Logistic regression including key demographic covariates compared baseline with year 1 and year 2 probabilities of mortality and daily discharge until day 60 after admission and readmission within 60 days of discharge. Results: Relative to baseline, admission postcentralisation was associated with favourable OR (95% CI) for day 60 mortality (year 1: 0.95 (0.88 to 1.02), p=0.18; year 2: 0.94 (0.91 to 0.97), p<0.01), mainly among patients aged 80+ years (year 1: 0.88 (0.79 to 0.97); year 2: 0.91 (0.87 to 0.96)). The probability of being discharged alive on any day since admission increased (year 1: 1.07 (1.04 to 1.10), p<0.01; year 2: 1.04 (1.02 to 1.05), p<0.01) and the risk of readmission decreased (year 1: 0.90 (0.87 to 0.94), p<0.01; year 2: 0.92 (0.90 to 0.94), p<0.01). Conclusion: A centralised site providing early specialist care was associated with improved short-term outcomes and efficiency relative to lower volume ED admitting to MAU, particularly for older patients

Health care and social care: complements, substitutes and attributes

Ageing populations are a major challenge for most developed countries, where social security systems were developed in the post war period. It has been suggested that the costs of caring for the ageing population places a considerable strain on individuals, as well as on the public purse, and many countries are looking for ways to reduce costs. One of the major issues is the relationship between health care and social care. This paper considers health care and social care as complements and substitutes through a household production framework. We demonstrate how health care and social care are attributes that are valued by individuals and how in the presence of a perfect market individuals would choose combinations of these attributes. We highlight how, even with technical efficiency, sub-optimal combinations of health and social care may be chosen. We also show, through the introduction of a new good, how there may be opportunities to alleviate the costs of the ageing population

Patients’ Preferences Regarding Osteoarthritis Medications: An Adaptive Choice-Based Conjoint Analysis Study

Background and Objective: Osteoarthritis (OA) patients consider ranges of harms and benefits offered by alternative pharmaceutical treatments. Choice-based experiments provide a mechanism to value outcomes, but they can pose a significant burden on respondents. Thus, the number of attributes studied is typically artificially restricted. We used an adaptive choice-based conjoint (ACBC) method that allows the inclusion of more attributes affecting patients’ preferences regarding non-invasive pharmaceutical treatment for OA than traditional choice-based technique to better understand the trade-offs that OA patients consider, without increasing respondents’ burden. Methods: After consulting with OA patients and public involvement (PPI) group, we constructed an online ACBC survey consisting of 9 attributes and a total of 31 levels (two benefits, four harms and three concerning the availability and modality of treatment). A cohort of patients with a diagnosis of OA and reporting joint pain within the last 12 months were recruited. Results: Our study (n 43) showed that the most important factor in choosing OA medication was the risk of heart attacks and strokes (19.5%), followed by the risk of addiction (18.4%), risk of kidney and liver side effects (17.5%), risk stomach side effects (14.6%), availability (11.6%), frequency of use (5.3%), pain reduction (5%), way of taking medication (4.6%) and mobility improvement (3.5%). Conclusion: ACBC provides a mechanism for understanding patient preferences that address the limitations of traditional choice-based experiments. For OA patients, avoidance of the risk of side effects were the most affecting medication choices, and reductions in pain and mobility were the least. Clinicians discussing options for medication with OA patients should discuss the potential trade-offs in terms of risks and benefits