Centralisation of acute stroke services in London: Impact evaluation using two treatment groups

The Effect on Travel Distance of a Statewide Regionalization Policy for Initial Breast Cancer Surgery

PURPOSE

Reimbursement strategies to regionalize care can be effective for improving patient outcomes but may adversely affect access to care. We sought to determine the effect on travel distance for surgical treatment of a 2009 New York State (NYS) policy restricting Medicaid reimbursement for breast cancer surgery at low-volume hospitals.

PATIENTS AND METHODS

From a linked data set merging the NYS tumor registry with hospital discharge data, we identified women younger than 65 years with stage I-III first breast tumors from pre- and post-policy periods. We classified patients by urbanicity of their residence into four geographic areas (New York City, other large urban core, suburban/large town, and small town/rural). A multivariable difference-in-difference-in-differences model was used to estimate the policy effect on the distance traveled by Medicaid and non-Medicaid insured patients before and after the policy, by area of residence.

RESULTS

Among the 46,029 study sample, 13.5% were covered by Medicaid. Regardless of insurance, women treated more recently traveled longer distances to their surgical facility than those in the prepolicy period. Regardless of time period, Medicaid beneficiaries drove fewer miles to treatment than women with other insurance. Although all women traveled greater distances postpolicy, the increase was not significantly different by insurance status (Medicaid or not), except for those living in suburban areas in which Medicaid patients traveled further postpolicy (+7.7 miles compared with +3.4 miles for non-Medicaid; P = .007).

CONCLUSION

After a policy regionalizing surgical care, only suburban Medicaid patients experienced a statistically significant (albeit small) increase in travel distance compared with non-Medicaid patients. In the state of NY, regionalization of breast cancer care yielded improved outcomes with minimal decrease in access.

Emergency contracting and the delivery of elective care services across the English National Health Service and independent sector during COVID-19: a descriptive analysis

BACKGROUND

Following a virtual standstill in the delivery of elective procedures in England, a national block contract between the NHS and the independent sector aimed to help restart surgical care. This study aims to describe subsequent changes in trends in elective care service delivery following implementation of the initial iteration of this contract.

METHODS

Population-based retrospective cohort study, assessing the delivery of all publicly funded and privately funded elective care delivered in England between 1 April 2020 and 31 July 2020 compared with the same period in 2019. Discharge data from the Hospital Episode Statistics and private healthcare data from the Private Health Information Network was stratified by specialty, procedure, length of stay and patient complexity in terms of age and Charlson Comorbidity Index.

RESULTS

COVID-19 significantly reduced publicly funded elective care activity, though changes were more pronounced in the independent sector (-65.1%) compared with the NHS (-52.7%), whereas reductions in privately funded elective care activity were similar in both independent sector hospitals (-74.2%) and NHS hospitals (-72.9%). Patient complexity increased in the independent sector compared with the previous year, with mixed findings in NHS hospitals. Most specialties, irrespective of sector or funding mechanisms, experienced a reduction in hospital admissions. However, some specialities, including medical oncology, clinical oncology, clinical haematology and cardiology, experienced an increase in publicly-funded elective care activity in the independent sector.

CONCLUSION

Elective care delivered by the independent sector remained significantly below historic levels, although this overlooks significant variation between regions and specialities. There may be opportunities to learn from regions which achieved more significant increases in publicly funded elective care in independent sector providers as a strategy to address the growing backlog of elective care.

Trends and characteristics of hospitalisations from the harmful use of opioids in England between 2008 and 2018: Population-based retrospective cohort study

OBJECTIVE

To examine the trends and characteristics of opioid-related hospital admissions in England over 10 years, and its burden for the National Health Service and public finances.

DESIGN

Patient-level data from the Hospital Episode Statistics database to examine all opioid-related hospitalisations from 2008 to 2018, stratified by type of opioid admission and patient demographics.

SETTING

All National Health Service hospitals in England.

PARTICIPANTS

Patients hospitalised from the harmful use of opioids.

MAIN OUTCOME MEASURES

The number of opioid-related hospitalisations, length of stay, in-hospital mortality, 30-day readmission rate and treatment costs.

RESULTS

Opioid-related hospitalisations increased by 48.9%, from 10,805 admissions in 2008 to 16,091 admissions in 2018, with total treatment costs of £137 million. The growth in opioid-related hospitalisations was 21% above the corresponding rate for all other emergency admissions in England. Relative changes showed that hospitalisations increased most for individuals older than 55 years (160%), those living in the most affluent areas of England (93.8%), and suffering from four co-morbidities (627.6%) or more. Hospitals reduced mean patient length of stay from 2.8 days to 1.1 days over 10 years. Mean in-hospital mortality was 0.4% and mean 30-day readmission risk was 16.6%.

CONCLUSION

Opioid use is an increasing public health concern in England, though hospitalisation and mortality rates are less pronounced than in other countries. There are concerns about significant rises in hospitalisations from older, less deprived and sicker population groups. Our findings should prompt policymakers to go beyond monitoring mortality statistics when assessing the impacts of harmful use of opioids.

What underlies the observed hospital volume-outcome relationship?

Background

Studies of the hospital volume-outcome relationship have highlighted that a greater volume activity improves patient outcomes. While this finding has been known for years, most studies to date have failed to delve into what underlies this relationship.

Objective

This study aimed to shed light on the basis of the hospital volume effect on patient outcomes by comparing treatment modalities for epithelial ovarian carcinoma patients.

Data

An exhaustive dataset of 355 patients in first-line treatment for Epithelial Ovarian Carcinoma (EOC) in 2012 in three regions of France was used. These regions account for 15% of the metropolitan French population.

Methods

In the presence of endogeneity induced by a reverse causality between hospital volume and patient outcomes, we used an instrumental variable approach. Hospital volume of activity was instrumented by the distance from patients’ homes to their hospital, the population density, and the median net income of patient municipalities.

Results

Based on our parameter estimates, we found that the rate of complete tumor resection would increase by 15.5 percentage points with centralized care, and by 8.3 percentage points if treatment decisions were coordinated by high-volume centers compared to decentralized care.

Conclusion

As volume alone is an imperfect correlate of quality, policy-makers need to know what volume is a proxy for in order to devise volume-based policies.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-021-07449-2.

Comparing the dangers of a stay in English and German hospitals for high-need patients

OBJECTIVE

To estimate the risk of an avoidable adverse event for high-need patients in England and Germany and the causal impact that has on outcomes.

DATA SOURCES

We use administrative, secondary data for all hospital inpatients in 2018. Patient records for the English National Health Service are provided by the Hospital Episode Statistics database and for the German health care system accessed through the Research Data Center of the Federal Statistical Office.

STUDY DESIGN

We calculated rates of three hospital-acquired adverse events and their causal impact on mortality and length of stay through propensity score matching and estimation of average treatment effects.

DATA COLLECTION/EXTRACTION METHODS

Patients were identified based on diagnoses codes and translated Patient Safety Indicators developed by the Agency for Healthcare Research and Quality.

PRINCIPAL FINDINGS

For the average hospital stay, the risk of an adverse event was 5.37% in the English National Health Service and 3.26% in the German health care system. High-need patients are more likely to experience an adverse event, driven by hospital-acquired infections (2.06%-4.45%), adverse drug reactions (2.37%-2.49%), and pressure ulcers (2.25%-0.45%). Adverse event risk is particularly high for patients with advancing illnesses (10.50%-27.11%) and the frail elderly (17.75%-28.19%). Compared to the counterfactual, high-need patients with an adverse event are more likely to die during their hospital stay and experience a longer length of stay.

CONCLUSIONS

High-need patients are particularly vulnerable with an adverse event risking further deterioration of health status and adding resource use. Our results indicate the need to assess the costs and benefits of a hospital stay, particularly when care could be provided in settings considered less hazardous.

How much does the hospital stay for infusion of anti-CD19 CAR-T cells cost to the French National Health Insurance?

Chimeric antigen receptor T-cells (CAR-T cells) have the potential to be a major innovation as a new type of cancer treatment, but are associated with extremely high prices and a high level of uncertainty. This study aims to assess the cost of the hospital stay for the administration of anti-CD19 CAR-T cells in France. Data were collected from the French Medical Information Systems Program (PMSI) and all hospital stays associated with an administrated drug encoded 9439938 (tisagenlecleucel, Kymriah®) or 9440456 (axicabtagene ciloleucel, Yescarta®) between January 2019 and December 2020 were included. 485 hospital stays associated with an injection of anti-CD19 CAR-T cells were identified, of which 44 (9%), 139 (28.7%), and 302 (62.3%) were for tisagenlecleucel in acute lymphoblastic leukaemia (ALL), tisagenlecleucel in diffuse large B-cell lymphoma (DLBCL), and axicabtagene ciloleucel respectively. The lengths of the stays were 37.9, 23.8, and 25.9 days for tisagenlecleucel in ALL, tisagenlecleucel in DLBCL, and axicabtagene ciloleucel, respectively. The mean costs per hospital stay were € 372,400 for a tisagenlecleucel in ALL, € 342,903 for tisagenlecleucel in DLBCL, and € 366,562 for axicabtagene ciloleucel. CAR T-cells represented more than 80% of these costs. n=13 hospitals performed CAR-T cell injections, with two hospitals accounting for more than 50% of the total number of injections. This study provides original data in a context of limited information regarding the costs of hospitalization for patients undergoing CAR-T cell treatments. In addition to the financial burden, distance may also be an important barrier for accessing CAR T-cell treatment.

'The Lynchpin of the Acute Stroke Service'-An envisioning of the scope and role of the advanced nurse practitioner in stroke care in a qualitative study

BACKGROUND

Stroke prevalence is rising internationally. Advanced practice nursing is established across many jurisdictions; however, its contribution to stroke services is under research.

AIM

To gain insights into the future scope and role of future advanced nurse practitioners in stroke care from the perspectives of key stakeholders.

DESIGN

A qualitative descriptive approach.

METHODS

Interviews were conducted in 2019 with a purposive sample of 18 participants, comprising stroke nurses, stroke unit managers, stroke survivors and their family carers, recruited in one UK healthcare trust. The research is reported in line with COREQ. Data were analysed in accordance with an inductive content analysis approach.

RESULTS

The abstraction process generated four main themes. These were 'The lynchpin of the acute stroke service', 'An expert in stroke care', 'Person and family focussed' and 'Preparation for the role'.

CONCLUSION

These findings offer new perspectives on the potential scope and role of advanced nurse practitioners in stroke service delivery. Further research should focus on how to address the challenges confronted by advanced nurse practitioners when endeavouring to engage in autonomous clinical decision-making.

IMPACT

Study findings may advance postregistration education curricula, clinical supervision models and research directions.

RELEVANCE TO CLINICAL PRACTICE

There is support for the implementation of advanced practice nursing in the hyperacute and acute stroke phases of the care pathway. An interprofessional model of clinical supervision has potential to support the developing advanced nurse practitioner in autonomous clinical decision-making.

Spill Over Effects of Inpatient Bed Capacity on Accident and Emergency Performance in England

The English National Health Service (NHS) has failed to meet the four-hour waiting time target to admit, transfer or discharge 95 per cent of patients attending Accident and Emergency Departments (A&E) since 2013. A growing number of patients requiring inpatient care are waiting on trolleys longer than four hours before admission to a hospital bed. This study examines the role of bed occupancy in the deterioration of A&E performance in the NHS. Longitudinal panel data methods are used to analyse hospital data (n = 72,129,886) for 143 Trusts from 1^st June 2016 to 31^st October 2019. The average bed occupancy rate across the study period was 93.2%. A 1% increase in bed occupancy was associated with a 9.5 percentage point decrease in the Trusts' probabilitay of meeting the waiting target, and an approximately 6 patient increase in four hours to 12 -hs trolley waits per 1,000 admissions. These relationships became more pronounced with rising bed occupancy levels above a 90% threshold. Bed occupancy is associated with significant negative spill-over effects on A&E performance. We estimate a minimum investment in 3,861 additional inpatient beds across the NHS to improve A&E performance in England. Relevant lessons can be derived for health care systems that have observed similar trends in increasing bed occupancy and deteriorations in A&E performance, including Ireland, Canada and Israel.

Temporal variations in quality of acute stroke care and outcomes in London hyperacute stroke units: a mixed-methods study

Background

Seven-day working in hospitals is a current priority of international health research and policy. Previous research has shown variability in delivering evidence-based clinical interventions across different times of the day and week. We aimed to identify factors influencing such variations in London hyperacute stroke units.

Objectives

To investigate variations in quality of acute stroke care and outcomes by day and time of admission in London hyperacute stroke units, and to identify factors influencing such variations.

Design

This was a prospective cohort study using anonymised patient-level data from the Sentinel Stroke National Audit Programme. Factors influencing variations in care and outcomes were studied through interview and observation data.

Setting

The setting was acute stroke services in London hyperacute stroke units.

Participants

A total of 7094 patients with a primary diagnosis of stroke took part. We interviewed hyperacute stroke unit staff (n = 76), including doctors, nurses, therapists and administrators, and 31 patients and carers. We also conducted non-participant observations of delivery of care at different times of the day and week (n = 45, ≈102 hours).

Intervention

Hub-and-spoke model for care of suspected acute stroke patients in London with performance standards was designed to deliver uniform access to high-quality hyperacute stroke unit care across the week.

Main outcome measures

Indicators of quality of acute stroke care, mortality at 3 days after admission, disability at the end of the inpatient spell and length of stay.

Data sources

Sentinel Stroke National Audit Programme data for all patients in London hyperacute stroke units with a primary diagnosis of stroke between 1 January and 31 December 2014, and nurse staffing data for all eight London hyperacute stroke units for the same period.

Results

We found no variation in quality of care by day and time of admission across the week in terms of stroke nursing assessment, brain scanning and thrombolysis in London hyperacute stroke units, nor in 3-day mortality nor disability at hospital discharge. Other quality-of-care measures significantly varied by day and time of admission. Quality of care was better if the nurse in charge was at a higher band and/or there were more nurses on duty. Staff deliver ‘front-door’ interventions consistently by taking on additional responsibilities out of hours, creating continuities between day and night, building trusting relationships and prioritising ‘front-door’ interventions.

Limitations

We were unable to measure long-term outcomes as our request to the Sentinel Stroke National Audit Programme, the Healthcare Quality Improvement Partnership and NHS Digital for Sentinel Stroke National Audit Programme data linked with patient mortality status was not fulfilled.

Conclusions

Organisational factors influence 24 hours a day, 7 days a week (24/7), provision of stroke care, creating temporal patterns of provision reflected in patient outcomes, including mortality, length of stay and functional independence.

Future work

Further research would help to explore 24/7 stroke systems in other contexts. We need a clearer understanding of variations by looking at absolute time intervals, rather than achievement of targets. Research is needed with longer-term mortality and modified Rankin Scale data, and a more meaningful range of outcomes.

Funding

This project was funded by the National Institute for Health Research (NIHR) Health Services and Delivery Research programme and will be published in full in Health Services and Delivery Research; Vol. 8, No. 34. See the NIHR Journals Library website for further project information.

Centralization of care in high volume hospitals and inequalities in access to care

In 2018, the French National Health Insurance proposed to increase the minimum volume threshold for breast cancer and to set a specific threshold for ovarian cancer in order to get an authorization to treat these patients. Using an exhaustive nationwide data set, the aim of this study is to evaluate the impact of the application of minimum volume thresholds for breast cancer and ovarian cancer in France on socioeconomic and spatial inequalities in patient access to care, taking into account patient preferences for their preferred provider. Our findings indicate that it would increase spatial inequalities and introduce socioeconomic inequalities in access to specialized care in terms of travel distance and will contribute to the medical desertification in rural areas that already have less access to non-specialized care. Our results underline that ignoring patient preferences when assessing the impact of such policies drastically underestimate the deterioration in patient access to care.

Long-term trends in death and dependence after ischaemic strokes: A retrospective cohort study using the South London Stroke Register (SLSR)

BACKGROUND

There have been reductions in stroke mortality over recent decades, but estimates by aetiological subtypes are limited. This study estimates time trends in mortality and functional dependence by ischaemic stroke (IS) aetiological subtype over a 16-year period.

METHODS AND FINDINGS

The study population was 357,308 in 2011; 50.4% were males, 56% were white, and 25% were of black ethnic backgrounds. Population-based case ascertainment of stroke was conducted, and all participants who had their first-ever IS between 2000 and 2015 were identified. Further classification was concluded according to the underlying mechanism into large-artery atherosclerosis (LAA), cardio-embolism (CE), small-vessel occlusion (SVO), other determined aetiologies (OTH), and undetermined aetiologies (UND). Temporal trends in survival rates were examined using proportional-hazards survival modelling, adjusted for demography, prestroke risk factors, case mix variables, and processes of care. We carried out additional regression analyses to explore patterns in case-fatality rates (CFRs) at 30 days and 1 year and to explore whether these trends occurred at the expense of greater functional dependence (Barthel Index [BI] < 15) among survivors. A total of 3,128 patients with first-ever ISs were registered. The median age was 70.7 years; 50.9% were males; and 66.2% were white, 25.5% were black, and 8.3% were of other ethnic groups. Between 2000-2003 and 2012-2015, the adjusted overall mortality decreased by 24% (hazard ratio [HR] per year 0.976; 95% confidence interval [CI] 0.959-0.993). Mortality reductions were equally noted in both sexes and in the white and black populations but were only significant in CE strokes (HR per year 0.972; 95% CI 0.945‒0.998) and in patients aged ≥55 years (HR per year 0.975; 95% CI 0.959‒0.992). CFRs within 30 days and 1 year after an IS declined by 38% (rate ratio [RR] per year 0.962; 95% CI 0.941‒0.984) and 37% (RR per year 0.963; 95% CI 0.949‒0.976), respectively. Recent IS was independently associated with a 23% reduced risk of functional dependence at 3 months after onset (RR per year 0.983; 95% CI 0.968-0.998; p = 0.002 for trend). The study is limited by small number of events in certain subgroups (e.g., LAA), which could have led to insufficient power to detect significant trends.

CONCLUSIONS

Both mortality and 3-month functional dependence after IS decreased by an annual average of around 2.4% and 1.7%, respectively, during 2000‒2015. Such reductions were particularly evident in strokes of CE origins and in those aged ≥55 years.

Impact of transforming mental health services for young people in England on patient access, resource use and health: a quasi-experimental study

OBJECTIVE

To evaluate the impact of child and adolescent mental health services (CAMHS) transformation in South East England on patient access, resource utilisation and health outcomes.

DESIGN

In an observational study, we use difference-in-differences analysis with propensity score matching to analyse routinely collected patient level data.

SETTING

Three CAMHS services in South East England.

PARTICIPANTS

All patients attending CAMHS between April 2012 and December 2018, with more than 57 000 spells of care included.

MAIN OUTCOME MEASURES

The rate and volume of people accessing CAMHS; waiting times to the first contact and waiting times between the first and second contact; and health outcomes, including the Strengths and Difficulties Questionnaire (SDQ) and the Revised Child Anxiety and Depression Scale (RCADS).

RESULTS

The intervention led to 20% (incidence rate ratio: 1.20; 95% CI: 1.15 to 1.24) more new patients starting per month. There was mixed evidence on waiting times for the first contact. The intervention led to 10% (incidence rate ratio: 1.10; 95% CI: 1.02 to 1.18) higher waiting time for the second contact. The number of contacts per spell (OR: 1.08; 95% CI: 0.94 to 1.25) and the rereferral rate (OR: 1.06; 95% CI: 0.96 to 1.17) were not significantly different. During the post intervention period, patients in the intervention group scored on average 3.3 (95% CI: -5.0 to -1.6) points lower on the RCADS and 1.0 (95% CI: -1.8 to -0.3) points lower on the SDQ compared with the control group after adjusting for the baseline score.

CONCLUSIONS

Overall, there are signs that transformation can help CAMHS achieve the objectives of greater access and improved health outcomes, but trade-offs exist among different performance metrics, particularly between access and waiting times. Commissioners and providers should be conscious of any trade-offs when undertaking service redesign and transformation.

Variations in hospital resource use across stroke care teams in England, Wales and Northern Ireland: a retrospective observational study

OBJECTIVE

To identify the main drivers of inpatient stroke care resource use, estimate the influence of stroke teams on the length of stay (LoS) of its patients and analyse the variation in relative performance across teams.

DESIGN

For each of four types of stroke care teams, a two-level count data model describing the variation in LoS and identifying the team influence on LoS purged of patient and treatment characteristics was estimated. Each team effect was interpreted as a measure of stroke care relative performance and its variation was analysed.

SETTING

This study used data from 145 396 admissions in 256 inpatient stroke care teams between June 2013 and July 2015 included in the national stroke register of England, Wales and Northern Ireland-Sentinel Stroke National Audit Programme.

RESULTS

The main driver of LoS, and thus resource use, was the need for stroke therapy even after stroke severity was taken into account. Conditional on needing the therapy in question, an increase in the average amount of therapy received per inpatient day was associated with shorter LoS. Important variations in stroke care performance were found within each team category.

CONCLUSIONS

Resource use was strongly associated with stroke severity, the need for therapy and the amount of therapy received. The variations in stroke care performance were not explained by measurable patient or team characteristics. Further operational and financial analyses are needed to unmask the causes of this unexplained variation.

Structural Equation Model (SEM) of Stroke Mortality in Spanish Inpatient Hospital Settings: The Role of Individual and Contextual Factors

Introduction: Traditionally, predictive models of in-hospital mortality in ischemic stroke have focused on individual patient variables, to the neglect of in-hospital contextual variables. In addition, frequently used scores are betters predictors of risk of sequelae than mortality, and, to date, the use of structural equations in elaborating such measures has only been anecdotal. Aims: The aim of this paper was to analyze the joint predictive weight of the following: (1) individual factors (age, gender, obesity, and epilepsy) on the mediating factors (arrhythmias, dyslipidemia, hypertension), and ultimately death (exitus); (2) contextual in-hospital factors (year and existence of a stroke unit) on the mediating factors (number of diagnoses, procedures and length of stay, and re-admission), as determinants of death; and (3) certain factors in predicting others. Material and Methods: Retrospective cohort study through observational analysis of all hospital stays of Diagnosis Related Group (DRG) 14, non-lysed ischemic stroke, during the time period 2008-2012. The sample consisted of a total of 186,245 hospital stays, taken from the Minimum Basic Data Set (MBDS) upon discharge from Spanish hospitals. MANOVAs were carried out to establish the linear effect of certain variables on others. These formed the basis for building the Structural Equation Model (SEM), with the corresponding parameters and restrictive indicators. Results: A consistent model of causal predictive relationships between the postulated variables was obtained. One of the most interesting effects was the predictive value of contextual variables on individual variables, especially the indirect effect of the existence of stroke units on reducing number of procedures, readmission and in-hospital mortality. Conclusion: Contextual variables, and specifically the availability of stroke units, made a positive impact on individual variables that affect prognosis and mortality in ischemic stroke. Moreover, it is feasible to determine this impact through the use of structural equation methodology. We analyze the methodological and clinical implications of this type of study for hospital policies.

Impact and sustainability of centralising acute stroke services in English metropolitan areas: retrospective analysis of hospital episode statistics and stroke national audit data

OBJECTIVES

To investigate whether further centralisation of acute stroke services in Greater Manchester in 2015 was associated with changes in outcomes and whether the effects of centralisation of acute stroke services in London in 2010 were sustained.

DESIGN

Retrospective analyses of patient level data from the Hospital Episode Statistics (HES) database linked to mortality data from the Office for National Statistics, and the Sentinel Stroke National Audit Programme (SSNAP).

SETTING

Acute stroke services in Greater Manchester and London, England.

PARTICIPANTS

509 182 stroke patients in HES living in urban areas admitted between January 2008 and March 2016; 218 120 stroke patients in SSNAP between April 2013 and March 2016.

INTERVENTIONS

Hub and spoke models for acute stroke care.

MAIN OUTCOME MEASURES

Mortality at 90 days after hospital admission; length of acute hospital stay; treatment in a hyperacute stroke unit; 19 evidence based clinical interventions.

RESULTS

In Greater Manchester, borderline evidence suggested that risk adjusted mortality at 90 days declined overall; a significant decline in mortality was seen among patients treated at a hyperacute stroke unit (difference-in-differences -1.8% (95% confidence interval -3.4 to -0.2)), indicating 69 fewer deaths per year. A significant decline was seen in risk adjusted length of acute hospital stay overall (-1.5 (-2.5 to -0.4) days; P<0.01), indicating 6750 fewer bed days a year. The number of patients treated in a hyperacute stroke unit increased from 39% in 2010-12 to 86% in 2015/16. In London, the 90 day mortality rate was sustained (P>0.05), length of hospital stay declined (P<0.01), and more than 90% of patients were treated in a hyperacute stroke unit. Achievement of evidence based clinical interventions generally remained constant or improved in both areas.

CONCLUSIONS

Centralised models of acute stroke care, in which all stroke patients receive hyperacute care, can reduce mortality and length of acute hospital stay and improve provision of evidence based clinical interventions. Effects can be sustained over time.

National trends in emergency readmission rates: a longitudinal analysis of administrative data for England between 2006 and 2016

OBJECTIVE

To assess trends in 30-day emergency readmission rates across England over one decade.

DESIGN

Retrospective study design.

SETTING

150 non-specialist hospital trusts in England.

PARTICIPANTS

23 069 134 patients above 18 years of age who were readmitted following an initial admission (n=62 584 297) between April 2006 and February 2016.

PRIMARY AND SECONDARY OUTCOMES

We examined emergency admissions that occurred within 30 days of discharge from hospital ('emergency readmissions') as a measure of healthcare quality. Presented are overall readmission rates, and disaggregated by the nature of the indexed admission, including whether it was elective or emergency, and by clinical health condition recorded. All rates were risk-adjusted for patient age, gender, ethnicity, socioeconomic status, comorbidities and length of stay.

RESULTS

The average risk-adjusted, 30-day readmission rate increased from 6.56% in 2006/2007 to 6.76% (P<0.01) in 2012/2013, followed by a small decrease to 6.64% (P<0.01) in 2015/2016. Emergency readmissions for patients discharged following elective procedures decreased by 0.13% (P<0.05), whereas those following emergency admission increased by 1.27% (P<0.001). Readmission rates for hip or knee replacements decreased (-1.29%; P<0.001); for acute myocardial infarction (-0.04%; P<0.49), stroke (+0.62%; P<0.05), chronic obstructive pulmonary disease (+0.41%; P<0.05) and heart failure (+0.15%; P<0.05) remained stable; and for pneumonia (+2.72%; P<0.001), diabetes (+7.09%; P<0.001), cholecystectomy (+1.86%; P<0.001) and hysterectomy (+2.54%; P<0.001) increased.

CONCLUSIONS

Overall, emergency readmission rates in England remained relatively stable across the observation period, with trends of slight increases contained post 2012/2013. However, there were large variations in trends across clinical areas, with some experiencing marked increases in readmission rates. This highlights the need to better understand variations in outcomes across clinical subgroups to allow for targeted interventions that will ensure highest standards of care provided for all patients.