Emergency department use and hospital admission in children following ambulatory surgery: a retrospective population-based cohort study.
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ABSTRACT: Introduction
Paediatric ambulatory surgery (same day surgery and planned same day discharge) is more frequently being performed more in Canada and around the world; however, after surgery children may return to hospital, either through the emergency department (ED) or through a hospital admission (HA). The aim of this study was to determine the patient characteristics associated with ED visits and HA in the 3 days following paediatric ambulatory surgery.Methods
This population-based retrospective cohort study used de-identified health administrative database housed at ICES and included residents of Ontario, younger than 18 years of age, who underwent ambulatory surgery between 2014 and 2018. Patients were not involved in the design of this study. The proportion of ED visit and HA were calculated for the total cohort, and the type of surgery. The ORs and 95% CIs were calculated for each outcome using logistic regression.Results
83 468 children underwent select ambulatory surgeries. 2588 (3.1%) had an ED visit and 608 (0.7%) had a HA in the 3 days following surgery. The most common reasons for ED visits included pain (17.2%) and haemorrhage (10.5%). Reasons for HA included haemorrhage (24.8%), dehydration (21.9%), and pain (9.1%).Conclusions
Our findings suggest that pain, bleeding and dehydration symptoms are associated with a return visit to the hospital. Implementing approaches to prevent, identify and manage these symptoms may be helpful in reducing ED visits or hospital admissions.
SUBMITTER: Sawhney M
PROVIDER: S-EPMC8611446 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:BackgroundAdvances in healthcare delivery have allowed for the increase in the number of ambulatory surgery procedures performed in Canada. Despite these advances, patients return to hospital following discharge. However, the reason for unplanned healthcare use after ambulatory surgery in Canada is not well understood.AimsTo examine unplanned healthcare use, specifically emergency department visit and hospital admissions, in the 3 days after ambulatory surgery in Ontario, Canada.MethodsThis population-based retrospective cohort study was conducted using de-identified administrative databases. Participants were residents in the province of Ontario, Canada; 18 years and older; and underwent common ambulatory surgical procedures between 2014 and 2018. The outcomes included emergency department (ED) visit and hospital admission. Incidence rates were calculated for the total cohort, for each patient characteristic and for surgical category. The odds ratios and 95% confidence intervals were calculated for each outcome using bivariate and multivariate logistic regression.Results484,670 adults underwent select common surgical procedures during the study period. Patients had healthcare use in the first 3 days after surgery, with 14,950 (3.1%) ED visits and 14,236 (2.9%) admissions. The incidence of ED use was highest after tonsillectomy (8.1%), cholecystectomy (4.2%) and appendectomy (4.0%). Incidence of admissions was highest after appendectomy (21%). Acute pain (19.7%) and haemorrhage (14.2%) were the most frequent reasons for an ED visit and "convalescence following surgery" (49.2%) followed by acute pain (6.2%) and haemorrhage (4.5%) were the main reasons for admission.ConclusionsThese findings can assist clinicians in identifying and intervening with patients at risk of healthcare use after ambulatory surgery. Pain management strategies that can be tailored to the patient, and earlier follow-up for some patients may be required. In addition, administrative decision-makers could use the results to estimate the impact of specific ambulatory procedures on hospital resources for planning and allocation of resources.
| S-EPMC7436986 | biostudies-literature
Project description:Background:The relationship between postoperative intensive care (ICU) admission following emergency general surgery (EGS) and emergency hospital readmission has not been widely investigated. Methods:Retrospective analysis of registry data for patients undergoing EGS in Scotland, 2005-2007. Exposure of interest was ICU admission status (direct from theatre; indirect after initial care on ward; no ICU admission). The primary outcome was emergency hospital readmission within 30 days of discharge. Results:Thirty-seven thousand one hundred seventy-three patients were included in the analysis. Overall emergency readmission rate was 8% (n?=?2983): 2756 (7.8%) in patients without postoperative ICU admission; 155 (12.1%) with direct ICU admission and 65 (14.7%) with indirect ICU admission. Indirect ICU admission was associated with increased hospital readmission rates (HR 1.24 [1.03, 1.49]; p?=?0.024) compared with direct ICU admission. ICU admission was associated with increased three-year readmission rates (p?=?0.006) and costs (p?<?0.001) compared with initial ward care. Conclusion:Indirect ICU admission is associated with increased emergency hospital readmission and healthcare costs for patients undergoing EGS.
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Project description:Backgroundinstitutionalisation following acute hospital admission is common and yet poorly described, with policy documents advising against this transition.Objectiveto characterise the individuals admitted to a care home on discharge from an acute hospital admission and to describe their assessment.Design and settinga retrospective cohort study of people admitted to a single large Scottish teaching hospital.Subjects100 individuals admitted to the acute hospital from home and discharged to a care home.Methodsa single researcher extracted data from ward-based case notes.Resultspeople discharged to care homes were predominantly female (62%), widowed (52%) older adults (mean 83.6 years) who lived alone (67%). About 95% had a diagnosed cognitive disorder or evidence of cognitive impairment. One-third of cases of delirium were unrecognised. Hospital stays were long (median 78.5 days; range 14-231 days) and transfers between settings were common. Family request, dementia, mobility, falls risk and behavioural concerns were the commonest reasons for the decision to admit to a care home. About 55% were in the acute hospital when the decision for a care home was made and 44% of that group were discharged directly from the acute hospital.Conclusionscare home admission from hospital is common and yet there are no established standards to support best practice. Decisions should involve the whole multidisciplinary team in partnership with patients and families. Documentation of assessment in the case notes is variable. We advocate the development of interdisciplinary standards to support the assessment of this vulnerable and complex group of patients.
| S-EPMC5860512 | biostudies-literature
Project description:ObjectiveThis study examined family-reported ambulatory care quality and its association with emergency department and hospital utilization, and how these relationships differed across levels of medical complexity.Data sourcesThe 2006-2013 Medical Expenditure Panel Survey (MEPS).Study designSecondary analysis of MEPS data. Variables fitting the National Quality Measures Clearinghouse clinical quality measures domain framework were selected. Exploratory factor analysis grouped ambulatory quality into 12 access, experience, or process measures. Weighted negative binomial regression stratified by health status identified associations between ambulatory quality and ED visits or hospitalizations.Data collection41,497 children ≤18 years were included. The 5-item special health care needs (SHCN) screener categorized health status as complex, less complex, or no SHCN.Principal findingsWeighted SHCN proportions were 1.6 Percent complex, 18.2 Percent less complex, and 80.0 Percent no SHCN. Mean ED visits were 130 and 335 visits/1000 children/year for no/ complex SHCN, respectively. Mean hospitalizations were 20 and 175 hospitalizations/1000 children/year for no/complex SHCN, respectively. ED visits were associated with 8 of 12 quality measures for no/less complex SHCN. For example, usually/always receiving needed care right away was associated with 22 Percent lower ED visit rate (95% CI 0.64-0.96). Hospitalizations were associated with 4 of 12 quality measures for less complex SHCN. In complex SHCN, associations between ambulatory quality and ED/hospital use were weak and inconsistent.ConclusionsAmbulatory quality may best predict ED and hospital use for children with no or less complex SHCN. Whether and how ambulatory care predicts emergency and hospital care in complex SHCN remains an important question.
| S-EPMC7518884 | biostudies-literature
Project description:ObjectivesTo devise an assessment tool to aid discharge and admission decision-making in relation to children and young people in hospital urgent and emergency care facilities, and thereby improve the quality of care that patients receive, using a clinical prediction modelling approach.DesignObservational cohort study with internal and external validation of a predictive tool.SettingTwo general emergency departments (EDs) and an urgent care centre in the North of England.ParticipantsThe eligibility criteria were children and young people 0-16 years of age who attended one of the three hospital sites within one National Health Service (NHS) organisation. Children were excluded if they opted out of the study, were brought to the ED following their death in the community or arrived in cardiac arrest when the heart rate and respiratory rate would be unmeasurable.Main outcome measuresAdmission or discharge. A participant was defined as being admitted to hospital if they left the ED to enter the hospital for further assessment, (including being admitted to an observation and assessment unit or hospital ward), either on first presentation or with the same complaint within 7 days. Those who were not admitted were defined as having been discharged.ResultsThe study collected data on 36 365 participants. 15 328 participants were included in the final analysis cohort (21 045 observations) and 17 710 participants were included in the validation cohort (23 262 observations). There were 14 variables entered into the regression analysis. Of the 13 that remained in the final model, 10 were present in all 500 bootstraps. The resulting Paediatric Admission Guidance in the Emergency Department (PAGE) score demonstrated good internal validity. The C-index (area under the ROC) was 0.779 (95% CI 0.772 to 0.786).ConclusionsFor units without the immediate availability of paediatricians the PAGE score can assist staff to determine risk of admission. Cut-off values will need to be adjusted to local circumstance.Study protocolThe study protocol has been published in an open access journal: Riaz et al Refining and testing the diagnostic accuracy of an assessment tool (Pennine Acute Hospitals NHS Trust-Paediatric Observation Priority Score) to predict admission and discharge of children and young people who attend an ED: protocol for an observational study. BMC Pediatr 18, 303 (2018). https://doi.org/10.1186/s12887-018-1268-7.Trial registration numberThe protocol has been published and the study registered (NIHR RfPB Grant: PB-PG-0815-20034; ClinicalTrials.gov:213469).
| S-EPMC7780516 | biostudies-literature
Project description:ObjectiveTo predict hospital admission at the time of ED triage using patient history in addition to information collected at triage.MethodsThis retrospective study included all adult ED visits between March 2014 and July 2017 from one academic and two community emergency rooms that resulted in either admission or discharge. A total of 972 variables were extracted per patient visit. Samples were randomly partitioned into training (80%), validation (10%), and test (10%) sets. We trained a series of nine binary classifiers using logistic regression (LR), gradient boosting (XGBoost), and deep neural networks (DNN) on three dataset types: one using only triage information, one using only patient history, and one using the full set of variables. Next, we tested the potential benefit of additional training samples by training models on increasing fractions of our data. Lastly, variables of importance were identified using information gain as a metric to create a low-dimensional model.ResultsA total of 560,486 patient visits were included in the study, with an overall admission risk of 29.7%. Models trained on triage information yielded a test AUC of 0.87 for LR (95% CI 0.86-0.87), 0.87 for XGBoost (95% CI 0.87-0.88) and 0.87 for DNN (95% CI 0.87-0.88). Models trained on patient history yielded an AUC of 0.86 for LR (95% CI 0.86-0.87), 0.87 for XGBoost (95% CI 0.87-0.87) and 0.87 for DNN (95% CI 0.87-0.88). Models trained on the full set of variables yielded an AUC of 0.91 for LR (95% CI 0.91-0.91), 0.92 for XGBoost (95% CI 0.92-0.93) and 0.92 for DNN (95% CI 0.92-0.92). All algorithms reached maximum performance at 50% of the training set or less. A low-dimensional XGBoost model built on ESI level, outpatient medication counts, demographics, and hospital usage statistics yielded an AUC of 0.91 (95% CI 0.91-0.91).ConclusionMachine learning can robustly predict hospital admission using triage information and patient history. The addition of historical information improves predictive performance significantly compared to using triage information alone, highlighting the need to incorporate these variables into prediction models.
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Project description:BACKGROUND:Variation in hospitalization rates have been described for decades, yet little is known about variation in emergency department (ED) admission rates across clinical conditions. We sought to describe variation in ED risk-standardized admission rates (RSAR) and the consistency between condition-specific ED admission rates within hospitals. METHODS:Cross-sectional analysis of the 2009 National Emergency Department Sample, an all-payer administrative, claims dataset. We identify the 15 most frequently admitted conditions using Clinical Classification Software. To identify conditions with the highest ED RSAR variation, we compared both the ratio of the 75th percentile to the 25th percentile hospital and coefficient of variation between conditions. We calculate Spearman correlation coefficients to assess within-hospital correlation of condition-specific ED RSARs. RESULTS:Of 21,885,845 adult ED visits, 4,470,105 (20%) resulted in admission. Among the 15 most frequently admitted conditions, the 5 with the highest magnitude of variation were: mood disorders (ratio of 75th:25th percentile, 6.97; coefficient of variation, 0.81), nonspecific chest pain (2.68; 0.66), skin and soft tissue infections (1.82; 0.51), urinary tract infections (1.58; 0.43), and chronic obstructive pulmonary disease (1.57; 0.33). For these 5 conditions, the within-hospital RSAR correlations between each pair of conditions were >0.4, except for mood disorders, which was poorly correlated with all other conditions (r<0.3). CONCLUSIONS:There is significant condition-specific variation in ED admission rates across US hospitals. This variation appears to be consistent between conditions with high variation within hospitals.
| S-EPMC4858175 | biostudies-literature
Project description:Around 42,000 children suffer from severe sepsis each year in the US alone, resulting in significant morbidity, mortality and billion dollar expenditures in the US healthcare system. Sepsis recognition is a clinical challenge in children. Biomarkers are needed to tailor appropriate antimicrobial therapies and improve risk stratification. The goal of this study was to determine if gene expression profiles from peripheral blood were associated with pathogen type and sepsis severity in children treated for suspected sepsis.
2020-01-01 | GSE119217 | GEO
Project description:ObjectiveTo examine whether hospitals are more likely to temporarily close their emergency departments (EDs) to ambulances (through ambulance diversions) if neighboring diverting hospitals are public vs private.Data sources/study settingAmbulance diversion logs for California hospitals, discharge data, and hospital characteristics data from California's Office of Statewide Health Planning and Development and the American Hospital Association (2007).Study designWe match public and private (nonprofit or for-profit) hospitals by distance and size. We use random-effects models examining diversion probability and timing of private hospitals following diversions by neighboring public vs matched private hospitals.Data collection/extraction methodsN/A.Principal findingsHospitals are 3.6 percent more likely to declare diversions if neighboring diverting hospitals are public vs private (P < 0.001). Hospitals declaring diversions have lower ED occupancy (P < 0.001) after neighboring public (vs private) hospitals divert. Hospitals have 4.2 percent shorter diversions if neighboring diverting hospitals are public vs private (P < 0.001). When the neighboring hospital ends its diversion first, hospitals terminate diversions 4.2 percent sooner if the neighboring hospital is public vs private (P = 0.022).ConclusionsSample hospitals respond differently to diversions by neighboring public (vs private) hospitals, suggesting that these hospitals might be strategically declaring ambulance diversions to avoid treating low-paying patients served by public hospitals.
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Project description:Background: Far less is known about the reasons for hospitalization or mortality during and after hospitalization among school-aged children than among under-fives in low- and middle-income countries. This study aimed to describe common types of illness causing hospitalisation; inpatient mortality and post-discharge mortality among school-age children at Kilifi County Hospital (KCH), Kenya. Methods: A retrospective cohort study of children 5-12 years old admitted at KCH, 2007 to 2016, and resident within the Kilifi Health Demographic Surveillance System (KHDSS). Children discharged alive were followed up for one year by quarterly census. Outcomes were inpatient and one-year post-discharge mortality. Results: We included 3,907 admissions among 3,196 children with a median age of 7 years 8 months (IQR 74-116 months). Severe anaemia (792, 20%), malaria (749, 19%), sickle cell disease (408, 10%), trauma (408, 10%), and severe pneumonia (340, 8.7%) were the commonest reasons for admission. Comorbidities included 623 (16%) with severe wasting, 386 (10%) with severe stunting, 90 (2.3%) with oedematous malnutrition and 194 (5.0%) with HIV infection. 132 (3.4%) children died during hospitalisation. Inpatient death was associated with signs of disease severity, age, bacteraemia, HIV infection and severe stunting. After discharge, 89/2,997 (3.0%) children died within one year during 2,853 child-years observed (31.2 deaths [95%CI, 25.3-38.4] per 1,000 child-years). 63/89 (71%) of post-discharge deaths occurred within three months and 45% of deaths occurred outside hospital. Post-discharge mortality was positively associated with weak pulse, tachypnoea, severe anaemia, HIV infection and severe wasting and negatively associated with malaria. Conclusions: Reasons for admissions are markedly different from those reported in under-fives. There was significant post-discharge mortality, suggesting hospitalisation is a marker of risk in this population. Our findings inform guideline development to include risk stratification, targeted post-discharge care and facilitate access to healthcare to improve survival in the early months post-discharge in school-aged children.
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