Hospitalization Risk Associated With Emergency Department Reasons for Visit and Patient Age: A Retrospective Evaluation of National Emergency Department Survey Data to Help Identify Potentially Avoidable Emergency Department Visits
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SUBMITTER: North F
PROVIDER: S-EPMC10664417 | biostudies-literature | 2023 Jan
REPOSITORIES: biostudies-literature
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Project description:This study characterized potentially avoidable neurological emergency department (ED) visits at a large urban public hospital. This was a retrospective review of Parkland Health (Dallas, TX) data from May 15, 2021, to July 15, 2021. The study population included encounters discharged home from the ED with any of the following: a primary neurological ED diagnosis, a neurological consultation in the ED, or a neurology clinic referral placed during the ED encounter. Neurovascular, strokelike, acute trauma, and nonneurological cases were excluded. The primary outcome was the number of ED visits by diagnosis category. A total of 965 ED discharge encounters met study criteria as potentially avoidable neurological ED visits, far higher than total neurology-related admissions over the same 2-month period. Headache (66%) and seizure/epilepsy (18%) syndromes were the most common. Thirty-five percent of all cases had neurology involvement in either the ED or the outpatient setting. This was lowest for headache (19%). The revisit rate within 3 months of the index ED visit was 29%, and it was highest for seizures/epilepsy (48%). Potentially avoidable nonvascular neurological ED visits occur frequently, especially for headache and seizure disorders. This study highlights the need for quality improvement and delivery innovation initiatives to optimize the site of care for patients with chronic neurological conditions.
| S-EPMC9980619 | biostudies-literature
Project description:ObjectiveTo determine the association between potentially avoidable transfers (PATs) and emergency department (ED) pediatric readiness scores and the score's associated components.Study designThis cross-sectional study linked the 2012 National Pediatric Readiness Project assessment with individual encounter data from California's statewide ED and inpatient databases during the years 2011-2013. A probabilistic linkage, followed by deterministic heuristics, linked pretransfer, and post-transfer encounters. Applying previously published definitions, a transferred child was considered a PAT if they were discharged within 1 day from the ED or inpatient care and had no specialized procedures. Analyses were stratified by injured and noninjured children. We compared PATs with necessary transfers using mixed-effects logistic regression models with random intercepts for hospital and adjustment for patient and hospital covariates.ResultsAfter linkage, there were 6765 injured children (27% PATs) and 18 836 noninjured children (14% PATs) who presented to 283 hospitals. In unadjusted analyses, a 10-point increase in pediatric readiness was associated with lower odds of PATs in both injured (OR 0.93, 95% CI 0.90-0.96) and noninjured children (OR 0.90, 95% CI 0.88-0.93). In adjusted analyses, a similar association was detected in injured patients (aOR 0.92, 95% CI 0.86-0.98) and was not detected in noninjured patients (aOR 0.94, 95% CI 0.88-1.00). Components associated with decreased PATs included having a nurse pediatric emergency care coordinator and a quality improvement plan.ConclusionsHospital ED pediatric readiness is associated with lower odds of a PAT. Certain pediatric readiness components are modifiable risk factors that EDs could target to reduce PATs.
| S-EPMC8830940 | biostudies-literature
Project description:BackgroundEmergency department (ED) visits for nursing home residents lead to higher morbidity and mortality. Therefore, inappropriate visits (for conditions treatable elsewhere) or potentially avoidable visits (those avoidable through adequate chronic care management) must be minimized. This study aimed to investigate factors and resource consumption patterns associated with inappropriate and potentially avoidable visits in a Swiss tertiary hospital.MethodsThis is a single-center retrospective chart review in an urban Swiss university hospital ED. A consecutive sample of 1276 visits by nursing home residents (≥ 65 years old), recorded between January 1, 2015 and December 31, 2017 (three calendar years) were included. Case characteristics were extracted from ED electronic documentation. Appropriateness was assessed via a structured Appropriateness Evaluation Protocol; potentially avoidable visits-measured as ambulatory-care sensitive conditions (ACSCs)-were analyzed separately. Inter-group differences concerning ED resource use were tested respectively with chi-square or Wilcoxon rank sum tests. To identify predictors of inappropriate or potentially-avoidable visits, we used multivariable logistic regression analysis.ResultsSix percent of visits were rated as inappropriate: they had lower triage levels (OR 0.55 [95%-CI 0.33-0.92], p=0.024) and, compared to ambulance calls, they had higher odds of initiation via either patient-initiated walk-in (OR 3.42 [95%-CI 1.79-6.55], p≤0.001) or GP referrals (OR 2.13 [95%-CI 1.16-3.90], p=0.015). For inappropriate visits, overall ED resource use was significantly lower (median 568 vs. 1403 tax points, p≤0.001). Of all visits included, 29% were due to (often potentially-avoidable) ACSCs. In those cases, compared to ambulance initiation, odds of being potentially-avoidable were considerably lower for walk-in patients (OR 0.46 [95%-CI 0.27-0.77], p=0.004) but higher for GP referrals (OR 1.40 [95%-CI 1.00-1.94], p=0.048). Nurse work (93 tax points vs. 64, p≤0.001) and laboratory resource use (334 tax points vs. 214, p≤0.001) were higher for potentially-avoidable ED visits.ConclusionsWe revealed substantial differences between the investigated groups. While nearly one third of ED visits from nursing homes were potentially avoidable, inappropriate visits were lower in numbers and not resource-intensive. Further research is required to differentiate potentially avoidable visits from inappropriate ones and to determine these findings' public health implications.
| S-EPMC9367060 | biostudies-literature
Project description:IntroductionPotentially inappropriate medications (PIM) and resulting adverse health outcomes in older adults are a common occurrence. However, PIM prescriptions are still frequent for vulnerable older adults. Here, we sought to estimate the risk of hospitalization and emergency department (ED) visits associated with PIM prescriptions over different exposure periods and PIM drug categories.MethodsWe used the National Health Insurance Service-Elderly Cohort Database (NHIS-ECDB) to construct the cohort and implemented a Self-Controlled Case Series (SCCS) method. Hospitalization or ED visits during the exposure and post-exposure periods were compared to those during the non-exposure period, and six PIM drug categories were evaluated. A conditional Poisson regression model was applied, and the risk of outcomes was presented as the incidence rate ratio (IRR). All potential time-varying covariates were adjusted by year. A total of 43,942 older adults aged ≥65 y who had at least one PIM prescription and the events of either hospitalization or ED visits between Jan 2016 and Dec 2019 were selected..ResultsMean days of each exposure period was 46 d (±123); risk was highest in exposure1 (1-7 d, 37.8%), whereas it was similar during exposure2 (15-28 d), and exposure3 (29-56 d) (16.6%). The mean number of total PIM drugs administered during the study period was 7.34 (±4.60). Both hospitalization and ED visits were significantly higher in both exposure (adjusted IRR 2.14, 95% Confidence Interval (CI):2.11-2.17) and post-exposure periods (adjusted IRR 1.41, 95% CI:1.38-1.44) in comparison to non-exposure period. The risk of adverse health outcomes was highest during the first exposure period (1-14 d), but decreased gradually over time. Among the PIM categories, pain medication was used the most, followed by anticholinergics. All PIM categories significantly increased the risk of hospitalization and ED visits, ranging from 1.18 (other PIM) to 2.85 (pain medication). Sensitivity analyses using the first incidence of PIM exposure demonstrated similar results. All PIM categories significantly increased the risk of hospitalization and ED visits, with the initial period of PIM prescriptions showing the highest risk. In subgroup analysis stratified by the number of medications, PIM effects on the risk of hospitalization and ED visits remained significant but gradually attenuated by the increased number of medications.DiscussionTherefore, the development of deprescribing strategies to control PIM and polypharmacy collectively is urgent and essential.
| S-EPMC10352109 | biostudies-literature
Project description:BackgroundPostoperative visits to the emergency department (ED) generate additional costs on health care systems and consume already limited resources. We sought to determine the rate and reasons why patients who underwent primary knee arthroplasty returned to the ED within 90 days of postoperative discharge, which could guide the development of preventative measures.MethodsWe identified patients who underwent primary knee arthroplasty at 2 hospitals in Nova Scotia, Canada, between April 2021 and March 2022 and who had an ED visit within 90 days of postoperative discharge. We reviewed data for timing and reason for ED visits.ResultsOf 687 patients who had primary knee arthroplasty surgeries, 145 (21.1%) patients visited the ED within 90 days of postoperative discharge. Most visits occurred in the early postoperative period, predominantly for surgical reasons (94.7% within 7 days) and shifting toward medical reasons over time. Pain was the most common surgical reason for ED visits (15.9%), followed by swelling (9.7%), and hematoma drainage (9.7%).ConclusionUnderstanding the reasons for postoperative ED visits after knee arthroplasty is important in developing strategies to reduce ED overcrowding and improve patient outcomes. Implementing targeted interventions, such as enhanced pain management and patient education, may help alleviate the burden on EDs, reduce costs, and improve overall health care delivery for patients undergoing knee arthroplasty.
| S-EPMC11573429 | biostudies-literature
Project description:BackgroundPrior studies suggest that patients with essential tremor (ET) have increased rates of healthcare utilization, but the reason for this increased use is unknown. The objective of this study was to evaluate the reasons for healthcare use among ET patients.MethodsThis was a retrospective cross-sectional study of ET patients with an admission or emergency department (ED) visit at a tertiary health system from 2018-2023. Patients were matched on an encounter level with control patients based on propensity scores incorporating age, sex, race, and co-morbid conditions. The primary outcome was the odds of an encounter for each diagnostic category comparing ET patients with matched controls.ResultsOnly inpatient admissions for neurologic diagnoses were more likely for ET compared to control patients (odds ratio (OR) 3.73, 95% confidence interval (CI) 2.54 - 5.49, p < 0.001). Once admissions related to the surgical treatment of tremor were excluded, admissions for neurologic diagnoses were equally likely among ET and control patients (OR 0.96, 95% CI 0.59 - 1.57, p = 0.88).DiscussionSurgical treatment of tremor appears to be a key driver of healthcare use among ET patients. Future investigations should examine the pattern of healthcare use of ET patients before and after surgery.HighlightsPrior studies have shown increased healthcare use among essential tremor (ET) patients. The objective of this study was to evaluate the reasons for healthcare use among ET patients compared to matched control patients. Surgical treatment of tremor was found to be a key driver of healthcare use among ET patients.
| S-EPMC11428660 | biostudies-literature
Project description:BackgroundAbout 30% of home healthcare patients are hospitalized or visit an emergency department (ED) during a home healthcare (HHC) episode. Novel data science methods are increasingly used to improve identification of patients at risk for negative outcomes.ObjectivesThe aim of the study was to identify patients at heightened risk hospitalization or ED visits using HHC narrative data (clinical notes).MethodsThis study used a large database of HHC visit notes (n = 727,676) documented for 112,237 HHC episodes (89,459 unique patients) by clinicians of the largest nonprofit HHC agency in the United States. Text mining and machine learning algorithms (Naïve Bayes, decision tree, random forest) were implemented to predict patient hospitalization or ED visits using the content of clinical notes. Risk factors associated with hospitalization or ED visits were identified using a feature selection technique (gain ratio attribute evaluation).ResultsBest performing text mining method (random forest) achieved good predictive performance. Seven risk factors categories were identified, with clinical factors, coordination/communication, and service use being the most frequent categories.DiscussionThis study was the first to explore the potential contribution of HHC clinical notes to identifying patients at risk for hospitalization or an ED visit. Our results suggest that HHC visit notes are highly informative and can contribute significantly to identification of patients at risk. Further studies are needed to explore ways to improve risk prediction by adding more data elements from additional data sources.
| S-EPMC7606545 | biostudies-literature
Project description:BackgroundCOVID-19 had a significant impact on Emergency Departments (ED) with early data suggesting an initial decline in avoidable ED visits. However, the sustained impact over time is unclear. In this study, we analyzed ED discharges over a two-year time period after the COVID-19 pandemic began and compared it with a control time period pre-pandemic to evaluate the difference in ED visit categories, including total, avoidable, and unavoidable visits.MethodsThis was a retrospective, cross-sectional study assessing the distribution of visits with ED discharges from two hospitals within a health system over a three-year time period (1/1/2019-12/31/2021). Visits were categorized using the expanded NYU-EDA algorithm modified to include COVID-19-related visits. Categories included: Emergent - Not Preventable/Avoidable, Emergent - Preventable/Avoidable, Emergent - Primary Care Treatable, Non-Emergent, Mental Health, Alcohol, Substance Abuse, Injury, and COVID-19. Chi-square testing was conducted to investigate differences within the time period before COVID-19 (1/1/2019-12/31/2019) and both initial (1/1/2020-12/31/2020) and delayed (1/1/2021-12/31/2021) COVID-19 time frames and ED visit categories, as well as post hoc testing using Fisher's exact tests with Bonferroni correction. ANOVA with post hoc Bonferroni testing was used to determine differences based on daily census for each ED visit category.ResultsA total of 228,010 ED discharges (Hospital #1 = 126,858; Hospital #2 = 101,152) met our inclusion criteria over the three-year period. There was a significant difference in the distribution of NYU-EDA categories between the two time periods (pre-COVID-19 versus during COVID-19) for the combined hospitals (p < 0.001), Hospital #1 (p < 0.001), and Hospital #2 (p < 0.001). When examining daily ED discharges, there was a decline in all categories from 2019 to 2020 except for "Emergent - Not Preventable/Avoidable" which remained stable and "Substance Abuse" which increased. From 2020 to 2021, there were no differences in ED avoidable visits. However, there were increases in discharged visits related to "Injuries", "Alcohol", and "Mental health" and a decrease in "COVID-19".ConclusionOur study identified a sustained decline in discharged avoidable ED visits during the two years following the beginning of the COVID-19 pandemic, which was partially offset by the increase in COVID-19 visits. This work can help inform ED and healthcare systems in resource allocation, hospital staffing, and financial planning during future COVID-19 resurgences and pandemics.
| S-EPMC9883066 | biostudies-literature
Project description:BackgroundAbout one in five patients receiving home healthcare (HHC) services are hospitalized or visit an emergency department (ED) during a home care episode. Early identification of at-risk patients can prevent these negative outcomes. However, risk indicators, including language in clinical notes that indicate a concern about a patient, are often hidden in narrative documentation throughout their HHC episode.ObjectiveThe aim of the study was to develop an automated natural language processing (NLP) algorithm to identify concerning language indicative of HHC patients' risk of hospitalizations or ED visits.MethodsThis study used the Omaha System-a standardized nursing terminology that describes problems/signs/symptoms that can occur in the community setting. First, five HHC experts iteratively reviewed the Omaha System and identified concerning concepts indicative of HHC patients' risk of hospitalizations or ED visits. Next, we developed and tested an NLP algorithm to identify these concerning concepts in HHC clinical notes automatically. The resulting NLP algorithm was applied on a large subset of narrative notes (2.3 million notes) documented for 66,317 unique patients ( n = 87,966 HHC episodes) admitted to one large HHC agency in the Northeast United States between 2015 and 2017.ResultsA total of 160 Omaha System signs/symptoms were identified as concerning concepts for hospitalizations or ED visits in HHC. These signs/symptoms belong to 31 of the 42 available Omaha System problems. Overall, the NLP algorithm showed good performance in identifying concerning concepts in clinical notes. More than 18% of clinical notes were detected as having at least one concerning concept, and more than 90% of HHC episodes included at least one Omaha System problem. The most frequently documented concerning concepts were pain, followed by issues related to neuromusculoskeletal function, circulation, mental health, and communicable/infectious conditions.ConclusionOur findings suggest that concerning problems or symptoms that could increase the risk of hospitalization or ED visit were frequently documented in narrative clinical notes. NLP can automatically extract information from narrative clinical notes to improve our understanding of care needs in HHC. Next steps are to evaluate which concerning concepts identified in clinical notes predict hospitalization or ED visit.
| S-EPMC9246992 | biostudies-literature
Project description:ImportanceTrauma of hospitalization refers to the depersonalizing and stressful experience of a hospital admission and is hypothesized to increase the risk of readmission after discharge.ObjectivesTo characterize the trauma of hospitalization by measuring patient-reported disturbances in sleep, mobility, nutrition, and mood among medical inpatients, and to examine the association between these disturbances and the risk of unplanned return to hospital after discharge.Design, setting, and participantsThis prospective cohort study enrolled participants between September 1, 2016, and September 1, 2017, at 2 academic hospitals in Toronto, Canada. Participants were adults admitted to the internal medicine ward for more than 48 hours. Participants were interviewed before discharge using a standardized questionnaire to assess sleep, mobility, nutrition, and mood. Responses for each domain were dichotomized as disturbance or no disturbance. Disturbance in 3 or 4 domains (the upper tertile) was considered high trauma of hospitalization, and disturbance in 0 to 2 domains (the lower 2 tertiles) was considered low trauma.Main outcome and measuresThe primary outcome was readmission or emergency department visit within 30 days of discharge. The association between trauma of hospitalization and the primary outcome was examined using logistic regression, adjusted for age; sex; length of stay; Charlson Comorbidity Index Score; Laboratory-Based Acute Physiology Score; and baseline disturbances in sleep, mobility, nutrition, and mood.ResultsA total of 207 patients participated, of whom 82 (39.6%) were women and 125 (60.4%) were men, with a mean (SD) age of 60.3 (16.8) years. Among the 207 participants, 75 (36.2%) reported sleep disturbance, 162 (78.3%) reported mobility disturbance, 114 (55.1%) reported nutrition disturbance, and 48 (23.2%) reported mood disturbance. Nearly all participants (192 [92.8%]) described a disturbance in at least 1 domain, and 61 participants (29.5%) had high trauma exposure. A statistically significant 15.8% greater absolute risk of readmission or emergency department visit was found in participants with high trauma (37.7%; 95% CI, 25.9%-51.1%) compared with those with low trauma (21.9%; 95% CI, 15.7%-29.7%), which remained statistically significant after adjusting for baseline characteristics (adjusted odds ratio, 2.52; 95% CI, 1.24-5.17; P = .01) and propensity score matching (odds ratio, 2.47; 95% CI, 1.11-5.73; P = .03).Conclusions and relevanceDisturbances in sleep, mobility, nutrition, and mood were common in medical inpatients; such trauma of hospitalization may be associated with a greater risk of 30-day readmission or emergency department visit after hospital discharge.
| S-EPMC6583419 | biostudies-literature