scholarly journals P81 The efficacy of a nurse led, primary care, acute asthma service in reducing short stay hospital admissions

Thorax ◽  
2011 ◽  
Vol 66 (Suppl 4) ◽  
pp. A101-A101
Author(s):  
G. J. Connett ◽  
P. Lovegrove ◽  
S. Lovick ◽  
J. P. Legg
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Steve Turner ◽  
Edwin-Amalraj Raja

Abstract Background Many inpatient facilities in Scotland have opened short stay paediatric assessment units (SSPAU) which are clinical areas separate from the usual inpatient ward area and these are where most short stay (also called zero day) admissions are accommodated. Here we describe the effect of opening short stay paediatric assessment units (SSPAU) on the proportion of zero day admissions relative to all emergency admissions. Methods Details of all emergency medical paediatric admissions to Scottish hospitals between 2000 and 2013 were obtained, including the number of zero day admissions per month and health board (i.e. geographic region). The month and year that an SSPAU opened in each health board was provided by local clinicians. Results SSPAUs opened in 7 health boards, between 2004 and 2012. Health boards with an SSPAU had a slower rise in zero day admissions compared to those without SSPAU (0.6% per month [95% CI 0.04, 0.09]. Across all 7 health boards, opening an SSPAU was associated with a 13% [95% CI 10, 15] increase in the proportion of zero day admissions. When considered individually, zero day admissions rose in four health boards after their SSPAU opened, were unchanged in one and fell in two health boards. Independent of SSPAUs opening, there was an increase in the proportion of all admissions which were zero day admissions (0.1% per month), and this accelerated after SSPAUs opened. Conclusion Opening an SSPAU has heterogeneous outcomes on the proportion of zero day admissions in different settings. Zero day admissions could be reduced in some health boards by understanding differences in clinical referral pathways between health boards with contrasting trends in zero day admissions after their SSPAU opens.


2020 ◽  
Author(s):  
Steve Turner ◽  
Edwin Raja

Abstract Background. Rising acute paediatric hospital admissions in Scotland are explained by rising numbers of admissions lasting less than 24 hours (zero day admissions). Many inpatient facilities in Scotland have opened short stay paediatric assessment units (SSPAU) which are clinical areas separate from the usual inpatient ward area and these are where most zero day admissions are accommodated. Here we describe the effect of opening short stay paediatric assessment units (SSPAU) on the proportion of zero day admissions relative to all emergency admissions.Methods. Details of all emergency medical paediatric admissions to Scottish hospitals between 2000 and 2013 were obtained, including the number of zero day admissions per month and health board (i.e. geographic region). The month and year that an SSPAU opened in each health board was provided by local clinicians.Results. SSPAUs opened in 7 health boards, between 2004 and 2012. The rise in zero day admissions was greater in health boards with no SSPAU compared to those with an SSPAU. Across all 7 health boards, opening an SSPAU was associated with a 13% [95% CI 10, 15] increase in the proportion of zero day admissions. When considered individually, zero day admissions rose in four health boards after their SSPAU opened, were unchanged in one and fell in two health boards. Independent of SSPAUs opening, there was an increase in the proportion of all admissions which were zero day admissions (0.1% per month), and this accelerated after SSPAUs opened.Conclusion. Opening an SSPAU may increase in the proportion of zero day admissions, but in some settings may reduce this proportion. Zero day admissions could be reduced in some health boards by understanding differences in clinical referral pathways between health boards with contrasting trends in zero day admissions after their SSPAU opens.


2018 ◽  
Vol 53 (6) ◽  
pp. 4747-4766 ◽  
Author(s):  
Benjamin C. Silver ◽  
Momotazur Rahman ◽  
Brad Wright ◽  
Richard Besdine ◽  
Pedro Gozalo ◽  
...  

BMJ Open ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. e039996
Author(s):  
Anders Hammerich Riis ◽  
Pia Kjær Kristensen ◽  
Matilde Grøndahl Petersen ◽  
Ninna Hinchely Ebdrup ◽  
Simon Meyer Lauritsen ◽  
...  

PurposeThis paper describes the open cohort CROSS-TRACKS, which comprises population-based data from primary care, secondary care and national registries to study patient pathways and transitions across sectors while adjusting for sociodemographic characteristics.ParticipantsA total of 221 283 individuals resided in the four Danish municipalities that constituted the catchment area of Horsens Regional Hospital in 2012–2018. A total of 96% of the population used primary care, 35% received at least one transfer payment and 66% was in contact with a hospital at least once in the period. Additional clinical information is available for hospital contacts (eg, alcohol intake, smoking status, body mass index and blood pressure). A total of 23% (n=8191) of individuals aged ≥65 years had at least one potentially preventable hospital admission, and 73% (n=5941) of these individuals had more than one.Findings to dateThe cohort is currently used for research projects in epidemiology and artificial intelligence. These projects comprise a prediction model for potentially preventable hospital admissions, a clinical decision support system based on artificial intelligence, prevention of medication errors in the transition between sectors, health behaviour and sociodemographic characteristics of men and women prior to fertility treatment, and a recently published study applying machine learning methods for early detection of sepsis.Future plansThe CROSS-TRACKS cohort will be expanded to comprise the entire Central Denmark Region consisting of 1.3 million residents. The cohort can provide new knowledge on how to best organise interventions across healthcare sectors and prevent potentially preventable hospital admissions. Such knowledge would benefit both the individual citizen and society as a whole.


2021 ◽  
pp. 135581962110127
Author(s):  
Irina Lut ◽  
Kate Lewis ◽  
Linda Wijlaars ◽  
Ruth Gilbert ◽  
Tiffany Fitzpatrick ◽  
...  

Objectives To demonstrate the challenges of interpreting cross-country comparisons of paediatric asthma hospital admission rates as an indicator of primary care quality. Methods We used hospital administrative data from >10 million children aged 6–15 years, resident in Austria, England, Finland, Iceland, Ontario (Canada), Sweden or Victoria (Australia) between 2008 and 2015. Asthma hospital admission and emergency department (ED) attendance rates were compared between countries using Poisson regression models, adjusted for age and sex. Results Hospital admission rates for asthma per 1000 child-years varied eight-fold across jurisdictions. Admission rates were 3.5 times higher when admissions with asthma recorded as any diagnosis were considered, compared with admissions with asthma as the primary diagnosis. Iceland had the lowest asthma admission rates; however, when ED attendance rates were considered, Sweden had the lowest rate of asthma hospital contacts. Conclusions The large variations in childhood hospital admission rates for asthma based on the whole child population reflect differing definitions, admission thresholds and underlying disease prevalence rather than primary care quality. Asthma hospital admissions among children diagnosed with asthma is a more meaningful indicator for inter-country comparisons of primary care quality.


2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Mark Ashworth ◽  
◽  
Antonis Analitis ◽  
David Whitney ◽  
Evangelia Samoli ◽  
...  

Abstract Background Although the associations of outdoor air pollution exposure with mortality and hospital admissions are well established, few previous studies have reported on primary care clinical and prescribing data. We assessed the associations of short and long-term pollutant exposures with General Practitioner respiratory consultations and inhaler prescriptions. Methods Daily primary care data, for 2009–2013, were obtained from Lambeth DataNet (LDN), an anonymised dataset containing coded data from all patients (1.2 million) registered at general practices in Lambeth, an inner-city south London borough. Counts of respiratory consultations and inhaler prescriptions by day and Lower Super Output Area (LSOA) of residence were constructed. We developed models for predicting daily PM2.5, PM10, NO2 and O3 per LSOA. We used spatio-temporal mixed effects zero inflated negative binomial models to investigate the simultaneous short- and long-term effects of exposure to pollutants on the number of events. Results The mean concentrations of NO2, PM10, PM2.5 and O3 over the study period were 50.7, 21.2, 15.6, and 49.9 μg/m3 respectively, with all pollutants except NO2 having much larger temporal rather than spatial variability. Following short-term exposure increases to PM10, NO2 and PM2.5 the number of consultations and inhaler prescriptions were found to increase, especially for PM10 exposure in children which was associated with increases in daily respiratory consultations of 3.4% and inhaler prescriptions of 0.8%, per PM10 interquartile range (IQR) increase. Associations further increased after adjustment for weekly average exposures, rising to 6.1 and 1.2%, respectively, for weekly average PM10 exposure. In contrast, a short-term increase in O3 exposure was associated with decreased number of respiratory consultations. No association was found between long-term exposures to PM10, PM2.5 and NO2 and number of respiratory consultations. Long-term exposure to NO2 was associated with an increase (8%) in preventer inhaler prescriptions only. Conclusions We found increases in the daily number of GP respiratory consultations and inhaler prescriptions following short-term increases in exposure to NO2, PM10 and PM2.5. These associations are more pronounced in children and persist for at least a week. The association with long term exposure to NO2 and preventer inhaler prescriptions indicates likely increased chronic respiratory morbidity.


Author(s):  
Aoife Watson ◽  
Donna McConnell ◽  
Vivien Coates

Abstract Aim To determine which community-based interventions are most effective at reducing unscheduled hospital care for hypoglycaemic events in adults with diabetes. Methods Medline Ovid, CINAHL Plus and ProQuest Health and Medical Collection were searched using both key search terms and medical subject heading terms (MeSH) to identify potentially relevant studies. Eligible studies were those that involved a community-based intervention to reduce unscheduled admissions in adults with diabetes. Papers were initially screened by the primary researcher and then a secondary reviewer. Relevant data were then extracted from papers that met the inclusion criteria. Results The search produced 2226 results, with 1360 duplicates. Of the remaining 866 papers, 198 were deemed appropriate based on titles, 90 were excluded following abstract review. A total of 108 full papers were screened with 19 full papers included in the review. The sample size of the 19 papers ranged from n = 25 to n = 104,000. The average ages within the studies ranged from 41 to 74 years with females comprising 57% of the participants. The following community-based interventions were identified that explored reducing unscheduled hospital care in people with diabetes; telemedicine, education, integrated care pathways, enhanced primary care and care management teams. Conclusions This systematic review shows that a range of community-based interventions, requiring different levels of infrastructure, are effective in reducing unscheduled hospital care for hypoglycaemia in people with diabetes. Investment in effective community-based interventions such as integrated care and patient education must be a priority to shift the balance of care from secondary to primary care, thereby reducing hospital admissions.


BMJ Open ◽  
2019 ◽  
Vol 9 (11) ◽  
pp. e028744 ◽  
Author(s):  
Geraldine McDarby ◽  
Breda Smyth

BackgroundIn 2016, the Irish acute hospital system operated well above internationally recommended occupancy targets. Investment in primary care can prevent hospital admissions of ambulatory care sensitive conditions (ACSCs).ObjectiveTo measure the impact of ACSCs on acute hospital capacity in the Irish public system and identify specific care areas for enhanced primary care provision.DesignNational Hospital In-patient Enquiry System data were used to calculate 2011–2016 standardised bed day rates for selected ACSC conditions. A prioritisation exercise was undertaken to identify the most significant contributors to bed days within our hospital system. Poisson regression was used to determine change over time using incidence rate ratios (IRR).ResultsIn 2016 ACSCs accounted for almost 20% of acute public hospital beds (n=871 328 bed days) with adults over 65 representing 69.1% (n=602 392) of these. Vaccine preventable conditions represented 39.1% of ACSCs. Influenza and pneumonia were responsible for 99.8% of these, increasing by 8.2% (IRR: 1.02; 95% CI 1.02 to 1.03) from 2011 to 2016. Pyelonephritis represented 47.6% of acute ACSC bed days, increasing by 46.5% (IRR: 1.07; 95% CI 1.06 to 1.08) over the 5 years examined.ConclusionsPrioritisation for targeted investment in integrated care programmes is enabled through analysis of ACSC’s in terms of acute hospital bed days. This analysis demonstrates that primary care investment in integrated care programmes for respiratory ACSC’s from prevention to rehabilitation at scale could assist with bed capacity in acute hospitals in Ireland. In adults 65 years and over, including chronic obstructive pulmonary disease patients, the current analysis supports targeting community based pulmonary rehabilitation including pneumococcal and influenza vaccination programmes in order to reduce the burden of infection and hospitalisations. Further exploration of pyelonephritis is necessary in order to ascertain patient profile and appropriateness of admissions.


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