School asthma intervention programme effectively improved children’s knowledge and attitudes, and led to decreased hospital admission, length of stay and school absences

Dexamethasone is a synthetic glucocorticoid used for its anti-inflammatory and analgesic effect. In addition to these therapeutic indications, it is also recommended for nausea and vomiting treatment which may occur during the postoperative period, with impact on postoperative evolution, regarding the evolution of wound healing and length of stay (LOS), with a reflection on the costs of hospital admission. Therefore, their prevention is very important for both patients� comfort and a good recovery.

Download Full-text

Hospital length of stay for COVID-19 patients: Data-driven methods for forward planning

BMC Infectious Diseases ◽

10.1186/s12879-021-06371-6 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Bindu Vekaria ◽

Christopher Overton ◽

Arkadiusz Wiśniowski ◽

Shazaad Ahmad ◽

Andrea Aparicio-Castro ◽

...

Keyword(s):

Length Of Stay ◽

Hospital Admission ◽

Failure Time ◽

National Level ◽

Hospital Length ◽

Survival Model ◽

Data Driven ◽

Hospital Length Of Stay ◽

Similar Data ◽

Model Complex

Abstract Background Predicting hospital length of stay (LoS) for patients with COVID-19 infection is essential to ensure that adequate bed capacity can be provided without unnecessarily restricting care for patients with other conditions. Here, we demonstrate the utility of three complementary methods for predicting LoS using UK national- and hospital-level data. Method On a national scale, relevant patients were identified from the COVID-19 Hospitalisation in England Surveillance System (CHESS) reports. An Accelerated Failure Time (AFT) survival model and a truncation corrected method (TC), both with underlying Weibull distributions, were fitted to the data to estimate LoS from hospital admission date to an outcome (death or discharge) and from hospital admission date to Intensive Care Unit (ICU) admission date. In a second approach we fit a multi-state (MS) survival model to data directly from the Manchester University NHS Foundation Trust (MFT). We develop a planning tool that uses LoS estimates from these models to predict bed occupancy. Results All methods produced similar overall estimates of LoS for overall hospital stay, given a patient is not admitted to ICU (8.4, 9.1 and 8.0 days for AFT, TC and MS, respectively). Estimates differ more significantly between the local and national level when considering ICU. National estimates for ICU LoS from AFT and TC were 12.4 and 13.4 days, whereas in local data the MS method produced estimates of 18.9 days. Conclusions Given the complexity and partiality of different data sources and the rapidly evolving nature of the COVID-19 pandemic, it is most appropriate to use multiple analysis methods on multiple datasets. The AFT method accounts for censored cases, but does not allow for simultaneous consideration of different outcomes. The TC method does not include censored cases, instead correcting for truncation in the data, but does consider these different outcomes. The MS method can model complex pathways to different outcomes whilst accounting for censoring, but cannot handle non-random case missingness. Overall, we conclude that data-driven modelling approaches of LoS using these methods is useful in epidemic planning and management, and should be considered for widespread adoption throughout healthcare systems internationally where similar data resources exist.

Download Full-text

Time trends in hospital discharges in patients aged 85 years and older in Spain: data from the Spanish National Discharge Database (2000–2015)

BMC Geriatrics ◽

10.1186/s12877-021-02335-2 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Sergio Palacios-Fernandez ◽

Mario Salcedo ◽

Gregorio Gonzalez-Alcaide ◽

Jose-Manuel Ramos-Rincon

Keyword(s):

Length Of Stay ◽

Hospital Admission ◽

Age Groups ◽

Percentage Increase ◽

Very Elderly ◽

Hospital Discharges ◽

Data Set ◽

Common Causes ◽

Discharged Patients ◽

Hospital Systems

Abstract Background The aging population is an increasing concern in Western hospital systems. The aim of this study was to describe the main characteristics and hospitalization patterns in inpatients aged 85 years or more in Spain from 2000 to 2015. Methods Retrospective observational study analyzing data from the minimum basic data set, an administrative registry recording each hospital discharge in Spain since 1997. We collected administrative, economic and clinical data for all discharges between 2000 and 2015 in patients aged 85 years and older, reporting results in three age groups and four time periods to assess differences and compare trends. Results There were 4,387,326 discharges in very elderly patients in Spain from 2000 to 2015, representing 5.32% of total discharges in 2000–2003 and 10.42% in 2012–2015. The pace of growth was faster in older age groups, with an annual percentage increase of 6% in patients aged 85–89 years, 7.79% in those aged 90–94 years, and 8.06% in those aged 95 and older. The proportion of men also rose (37.30 to 39.70%, p < 0.001). The proportion of patients that died during hospital admission decreased from 14.64% in 2000–2003 to 13.83% in 2012–2015 (p < 0.001), and mean length of stay from 9.98 days in 2000–2003 to 8.34 days in 2012–2015. Some of the most frequent primary diagnoses became even more frequent relative to the total number of primary diagnoses, such as heart failure (7.84 to 10.62%), pneumonia (6.36 to 7.36%), other respiratory diseases (3.87 to 8.49%) or other alterations of urinary tract (3.08 to 5.20%). However, there was a relative decrease in the proportion of femoral neck fractures (8.07 to 6.77%), neoplasms (7.65 to 7.34%), ischemic encephalopathy (6.97 to 5.85%), COPD (4.23 to 3.15%), ischemic cardiomyopathy (4.20 to 8.49%) and cholelithiasis (3.07 to 3.28%). Conclusions Discharges in the very elderly population are increasing in both relative and absolute terms in Spanish hospitals. Within this group, discharged patients are getting older and more frequently male. The mean length of stay and the proportion of patients that died during hospital admission are decreasing. Acute-on-chronic organ diseases, neoplasms, acute cardiovascular diseases, and infections are the most common causes of discharge.

Download Full-text

Can dedicated emergency team and area for older people reduce the hospital admission rate? - An observational pre- and post-intervention study

BMC Geriatrics ◽

10.1186/s12877-021-02044-w ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Jenny Liu ◽

Therese Palmgren ◽

Sari Ponzer ◽

Italo Masiello ◽

Nasim Farrokhnia

Keyword(s):

Length Of Stay ◽

Hospital Admission ◽

Older Patients ◽

Outcome Measure ◽

Admission Rate ◽

Intervention Period ◽

Total Hospital ◽

Hospital Admission Rate ◽

Emergency Team ◽

Interprofessional Team

Abstract Background Emergency department (ED) care of older patients is often complex. Geriatric ED guidelines can help to meet this challenge. However, training requirements, the use of time-consuming tools for comprehensive geriatric assessment (CGA), a lack of golden standard to identify the frail patients, and the weak evidence of positive outcomes of using CGA in EDs pose barriers to introduce the guidelines. Dedicating an interprofessional team of regular ED medical and nursing staff and an older-friendly ED area can be another approach. Previous studies of geriatrician-led CGA in EDs have reported a reduced hospital admission rate. The aim of this study was to investigate whether a dedicated interprofessional emergency team also can reduce the hospital admission rate without the resources required by the formal use of CGA. Methods An observational pre-post study at a large adult ED, where all patients 80 years or older arriving on weekdays in the intervention period from 2016.09.26 to 2016.11.28 and the corresponding weekdays in the previous year from 2015.09.28 to 2015.11.30 were included. In the intervention period, older patients either received care in the geriatric module by the dedicated team or in the regular team modules for patients of mixed ages. In 2015, all patients received care in regular team modules. The primary outcome measure was the total hospital admission rate and the ED length of stay was the secondary outcome measure. Results We included 2377 arrivals in the intervention period, when 26.7% (N = 634) received care in the geriatric module, and 2207 arrivals in the 2015 period. The total hospital admission rate was 61.7% (N = 1466/2377) in the intervention period compared to 64.8% (N = 1431/2207) in 2015 (p = 0.03). The difference was larger for patients treated in the geriatric module, 51.1% compared to 62.1% (95% CI: 56.3 to 68.0%) for patients who would have been eligible in 2015. The ED length of stay was longer in the intervention period. Conclusions An interprofessional team and area dedicated to older patients was associated to a lower hospital admission rate. Further studies are needed to confirm the results.

Download Full-text

Association between home insulation and hospital admission rates: retrospective cohort study using linked data from a national intervention programme

BMJ ◽

10.1136/bmj.m4571 ◽

2020 ◽

pp. m4571 ◽

Cited By ~ 1

Author(s):

Caroline Fyfe ◽

Lucy Telfar ◽

Barnard ◽

Philippa Howden-Chapman ◽

Jeroen Douwes

Keyword(s):

Cohort Study ◽

Heart Disease ◽

Confidence Interval ◽

Hospital Admission ◽

Retrospective Cohort ◽

Rate Ratio ◽

Hospital Admissions ◽

Relative Rate ◽

Intervention Programme ◽

Admission Rates

Abstract Objectives To investigate whether retrofitting insulation into homes can reduce cold associated hospital admission rates among residents and to identify whether the effect varies between different groups within the population and by type of insulation. Design A quasi-experimental retrospective cohort study using linked datasets to evaluate a national intervention programme. Participants 994 317 residents of 204 405 houses who received an insulation subsidy through the Energy Efficiency and Conservation Authority Warm-up New Zealand: Heat Smart retrofit programme between July 2009 and June 2014. Main outcome measure A difference-in-difference approach was used to compare the change in hospital admissions of the study population post-insulation with the change in hospital admissions of the control population that did not receive the intervention over the same two timeframes. Relative rate ratios were used to compare the two groups. Results 234 873 hospital admissions occurred during the study period. Hospital admission rates after the intervention increased in the intervention and control groups for all population categories and conditions with the exception of acute hospital admissions among Pacific Peoples (rate ratio 0.94, 95% confidence interval 0.90 to 0.98), asthma (0.92, 0.86 to 0.99), cardiovascular disease (0.90, 0.88 to 0.93), and ischaemic heart disease for adults older than 65 years (0.79, 0.74 to 0.84). Post-intervention increases were, however, significantly lower (11%) in the intervention group compared with the control group (relative rate ratio 0.89, 95% confidence interval 0.88 to 0.90), representing 9.26 (95% confidence interval 9.05 to 9.47) fewer hospital admissions per 1000 in the intervention population. Effects were more pronounced for respiratory disease (0.85, 0.81 to 0.90), asthma in all age groups (0.80, 0.70 to 0.90), and ischaemic heart disease in those older than 65 years (0.75, 0.66 to 0.83). Conclusion This study showed that a national home insulation intervention was associated with reduced hospital admissions, supporting previous research, which found an improvement in self-reported health.

Download Full-text