Trends by Acuity for Emergency Department Visits and Hospital Admissions in California, 2012 to 2022.
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ABSTRACT:
SUBMITTER: Ruxin T
PROVIDER: S-EPMC10728761 | biostudies-literature | 2023 Dec
REPOSITORIES: biostudies-literature
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Trends by Acuity for Emergency Department Visits and Hospital Admissions in California, 2012 to 2022.
Ruxin Talia T Feldmeier Madeline M Addo Newton N Hsia Renee Y RY
JAMA network open 20231201 12
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Project description:ImportanceAltruism-putting the patient first-is a fundamental component of physician professionalism. Evidence is lacking about the relationship between physician altruism, care quality, and spending.ObjectiveTo determine whether there is a relationship between physician altruism, measures of quality, and spending, hypothesizing that altruistic physicians have better results.Design, setting, and participantsThis cross-sectional study that used a validated economic experiment to measure altruism was carried out between October 2018 and November 2019 using a nationwide sample of US primary care physicians and cardiologists. Altruism data were linked to 2019 Medicare claims and multivariable regressions were used to examine the relationship between altruism and quality and spending measures. Overall, 250 physicians in 43 medical practices that varied in size, location, and ownership, and 7626 Medicare fee-for-service beneficiaries attributed to the physicians were included. The analysis was conducted from April 2022 to August 2024.ExposurePhysicians completed a widely used modified dictator-game style web-based experiment; based on their responses, they were categorized as more or less altruistic.Main measuresPotentially preventable hospital admissions, potentially preventable emergency department visits, and Medicare spending.ResultsIn all, 1599 beneficiaries (21%) were attributed to the 45 physicians (18%) categorized as altruistic and 6027 patients were attributed to the 205 physicians not categorized as altruistic. Adjusting for patient, physician, and practice characteristics, patients of altruistic physicians had a lower likelihood of any potentially preventable admission (odds ratio [OR], 0.60; 95% CI, 0.38-0.97; P = .03) and any potentially preventable emergency department visit (OR, 0.64; CI, 0.43-0.94; P = .02). Adjusted spending was 9.26% lower (95% CI, -16.24% to -2.27%; P = .01).Conclusions and relevanceThis cross-sectional study found that Medicare patients treated by altruistic physicians had fewer potentially preventable hospitalizations and emergency department visits and lower spending. Policymakers and leaders of hospitals, medical practices, and medical schools may want to consider creating incentives, organizational structures, and cultures that may increase, or at least do not decrease, physician altruism. Further research should seek to identify these and other modifiable factors, such as physician selection and training, that may shape physician altruism. Research could also analyze the relationship between altruism and quality and spending in additional medical practices, specialties, and countries, and use additional measures of quality and of patient experience.
| S-EPMC11581536 | biostudies-literature
Project description:BackgroundPeople with cancer experience symptoms related to the disease and treatments. Symptom distress has a negative impact on quality of life (QoL). Attending to symptoms and side effects of treatment promotes safe and effective delivery of therapies and may prevent or reduce emergency department visits (EDVs) and unplanned hospital admissions (HAs). There is limited evidence examining symptom-related EDVs or HAs (sx-EDV/HAs) and interventions in ambulatory oncology patients.ObjectiveTo examine factors associated with sx-EDV/HAs in ambulatory oncology patients receiving chemotherapy and/or radiation.MethodsThis secondary analysis used data from a randomized controlled trial of ambulatory oncology patients (n = 663) who received the web-based Electronic Self-Report Assessment – Cancer intervention (symptom self-monitoring, tailored education, and communication coaching) or usual care with symptom self-monitoring alone. Group differences were described by summary statistics and compared by t test. Factors associated with the odds of at least 1 sx-EDV/HA were modeled using logistic regression.Results98 patients had a total of 171 sx-EDV/HAs with no difference between groups. Higher odds of at least 1 sx-EDV/HA were associated with socioeconomic and clinical factors. The multivariable model indicated that work status, education level, treatment modality, and on-treatment Symptom Distress Scale-15 scores were signifcantly associated with having at least 1 sx-EDV/HA.LimitationsThis is a secondary analysis not sized to determine cause and effect. The results have limited generalizability.ConclusionMost patients did not experience a sx-EDV/HA. Demographic and clinical factors predicted a sx-EDV/HA.
| S-EPMC4849131 | biostudies-literature
Project description: Not available
| S-EPMC10140801 | biostudies-literature
Project description:BackgroundAlthough homelessness and opioid overdose are major public health issues in the U.S., evidence is limited as to whether homelessness is associated with an increased risk of opioid overdose.ObjectiveTo compare opioid-related outcomes between homeless versus housed individuals in low-income communities.Design, setting, and participantsCross-sectional analysis of individuals who had at least one ED visit or hospitalization in four states (Florida, Maryland, Massachusetts, and New York) in 2014.MeasurementsRisk of opioid overdose and opioid-related ED visits/hospital admissions were compared between homeless versus low-income housed individuals, adjusting for patient characteristics and hospital-specific fixed effects (effectively comparing homeless versus low-income housed individuals treated at the same hospital). We also examined whether risk of opioid-related outcomes varied by patients' sex and race/ethnicity.ResultsA total of 96,099 homeless and 2,869,230 low-income housed individuals were analyzed. Homeless individuals had significantly higher risk of opioid overdose (adjusted risk, 1.8% for homeless vs. 0.3% for low-income housed individuals; adjusted risk difference [aRD], +1.5%; 95%CI, +1.0% to +2.0%; p < 0.001) and opioid-related ED visit/hospital admission (10.4% vs. 1.5%; aRD, +8.9%; 95%CI, +7.2% to +10.6%; p < 0.001) compared to low-income housed individuals. Non-Hispanic White females had the highest risk among the homeless population, whereas non-Hispanic White males had the highest risk among the low-income housed population.LimitationsIndividuals with no ED visit or hospitalization in 2014 were not included.ConclusionHomeless individuals had disproportionately higher adjusted risk of opioid-related outcomes compared to low-income housed individuals treated at the same hospital. Among homeless individuals, non-Hispanic White females incurred the highest risk. These findings highlight the importance of recognizing the homeless population-especially the non-Hispanic White female homeless population-as a high-risk population for opioid overdose.
| S-EPMC7023863 | biostudies-literature
Project description:BackgroundCanadian pediatric emergency department visits are increasing, with a disproportionate increase in low-acuity visits locally (33% of volume in 2008-09, 41% in 2011-12). We sought to understand: 1) presentation patterns and resource implications; 2) parents' perceptions and motivations; and 3) alternate health care options considered prior to presenting with low-acuity problems.MethodsWe conducted a prospective cohort study at our tertiary pediatric emergency department serving two provinces to explore differences between patients with and without a primary care provider. During four, 2-week study periods over 1 year, parents of low-acuity visits received an anonymous survey. Presentation times, interventions, diagnoses and dispositions were captured on a data collection form linked to the survey by study number.ResultsParents completed 2,443 surveys (74.1% response rate), with survey-data collection form pairs available for 2,146 visits. Overall, 89.7% of respondents had a primary care provider; 68% were family physicians. Surprisingly, 40% of visits occurred during weekday office hours and 27.3% occurred within 4 hours of symptom onset; 67.5% of those early presenters were for injuries. Few parents sought care from their primary care provider (25%), health information line (20.7%), or urgent care clinic (18.5%); 36% reported that they believed their child's problem required the emergency department. Forty-five percent required only a history, physical exam and reassurance; only 11% required an intervention not available in an office setting. Patients without a primary care provider were significantly more likely to present during weekday office hours (p = 0.003), have longer symptom duration (p<0.001), and not know of other options (p = 0.001).ConclusionsMany parents seek pediatric emergency department care for low-acuity problems despite their child having a primary care provider. Ensuring timely access to these providers may help reduce pediatric emergency department overuse. Educational initiatives should inform parents about low-acuity problems and where appropriate care can/should be accessed.
| S-EPMC4471269 | biostudies-literature
Project description:Background Identification of stroke patients at increased risk of emergency department (ED) visits or hospital admissions allows implementation of mitigation strategies. We evaluated the ability of the Patient-Reported Outcomes Information Measurement System (PROMIS) patient-reported outcomes (PROs) collected as part of routine care to predict 1-year emergency department (ED) visits and admissions when added to other readily available clinical variables. Methods and Results This was a cohort study of 1696 patients with ischemic stroke, intracerebral hemorrhage, subarachnoid hemorrhage, or transient ischemic attack seen in a cerebrovascular clinic from February 17, 2015, to June 11, 2018, who completed the following PROs at the visit: Patient Health Questionnaire-9, Quality of Life in Neurological Disorders cognitive function, PROMIS Global Health, sleep disturbance, fatigue, anxiety, social role satisfaction, physical function, and pain interference. A series of logistic regression models was constructed to determine the ability of models that include PRO scores to predict 1-year ED visits and all-cause and unplanned admissions. In the 1 year following the PRO encounter date, 1046 ED visits occurred in 548 patients; 751 admissions occurred in 453 patients. All PROs were significantly associated with future ED visits and admissions except PROMIS sleep. Models predicting unplanned admissions had highest optimism-corrected area under the curve (range, 0.684-0.724), followed by ED visits (range, 0.674-0.691) and then all-cause admissions (range, 0.628-0.671). PROs measuring domains of mental health had stronger associations with ED visits; PROs measuring domains of physical health had stronger associations with admissions. Conclusions PROMIS scales improve the ability to predict ED visits and admissions in patients with stroke. The differences in model performance and the most influential PROs in the prediction models suggest differences in factors influencing future hospital admissions and ED visits.
| S-EPMC8174209 | biostudies-literature
Project description:Study objectivePrevious studies have shown that charges for inpatient and clinic procedures vary substantially; however, there are scant data on variation in charges for emergency department (ED) visits. Outpatient ED visits are typically billed with current procedural terminology-coded levels to standardize the intensity of services received, providing an ideal element on which to evaluate charge variation. Thus, we seek to analyze the variation in charges for each level of ED visits and examine whether hospital- and market-level factors could help predict these charges.MethodsUsing 2011 charge data provided by every nonfederal California hospital to the Office of Statewide Health Planning and Development, we analyzed the variability in charges for each level of ED visits and used linear regression to assess whether hospital and market characteristics could explain the variation in charges.ResultsCharges for each ED visit level varied widely; for example, charges for a level 4 visit ranged from $275 to $6,662. Government hospitals charged significantly less than nonprofit hospitals, whereas hospitals that paid higher wages, served higher proportions of Medicare and Medicaid patients, and were located in areas with high costs of living charged more. Overall, our models explained only 30% to 41% of the between-hospital variation in charges for each level of ED visits.ConclusionOur findings of extensive charge variation in ED visits add to the literature in demonstrating the lack of systematic charge setting in the US health care system. These widely varying charges affect the hospital bills of millions of uninsured patients and insured patients seeking care out of network and continue to play a role in many aspects of health care financing.
| S-EPMC4215935 | biostudies-literature
Project description:BackgroundAs a result of the novel coronavirus disease 2019 (COVID-19), there have been widespread changes in healthcare access. We conducted a retrospective population-based study in Alberta, Canada (population 4.4 million), where there have been approximately 1550 hospital admissions for COVID-19, to determine the impact of COVID-19 on hospital admissions and emergency department (ED visits), following initiation of a public health emergency act on March 15, 2020.MethodsWe used multivariable negative binomial regression models to compare daily numbers of medical/surgical hospital admissions via the ED between March 16-September 23, 2019 (pre COVID-19) and March 16-September 23, 2020 (post COVID-19 public health measures). We compared the most frequent diagnoses for hospital admissions pre/post COVID-19 public health measures. A similar analysis was completed for numbers of daily ED visits for any reason with a particular focus on ambulatory care sensitive conditions (ACSC).FindingsThere was a significant reduction in both daily medical (incident rate ratio (IRR) 0.86, p<0.001) and surgical (IRR 0.82, p<0.001) admissions through the ED in Alberta post COVID-19 public health measures. There was a significant decline in daily ED visits (IRR 0.65, p<0.001) including ACSC (IRR 0.75, p<0.001). The most common medical/surgical diagnoses for hospital admissions did not vary substantially pre and post COVID-19 public health measures, though there was a significant reduction in admissions for chronic obstructive pulmonary disease and a significant increase in admissions for mental and behavioral disorders due to use of alcohol.ConclusionsDespite a relatively low volume of COVID-19 hospital admissions in Alberta, there was an extensive impact on our healthcare system with fewer admissions to hospital and ED visits. This work generates hypotheses around causes for reduced hospital admissions and ED visits which warrant further investigation. As most publicly funded health systems struggle with health-system capacity routinely, understanding how these reductions can be safely sustained will be critical.
| S-EPMC8168854 | biostudies-literature
Project description:Limited data are available regarding adverse drug reactions (ADRs) and medication-related hospitalisations or emergency department (ED) visits in older adults with diabetes, especially since the emergence of newer antidiabetic agents. This systematic review aimed to explore the nature of hospital admissions and ED visits that are medication-related in older adults with diabetes. The review was conducted according to the PRISMA guidelines. Studies in English that reported on older adults (mean age ≥ 60 years) with diabetes admitted to the hospital or presenting to ED due to medication-related problems and published between January 2000 and October 2023 were identified using Medline, Embase, and International Pharmaceutical Abstracts databases. Thirty-five studies were included. Medication-related hospital admissions and ED visits were all reported as episodes of hypoglycaemia and were most frequently associated with insulins and sulfonylureas. The studies indicated a decline in hypoglycaemia-related hospitalisations or ED presentations in older adults with diabetes since 2015. However, the associated medications remain the same. This finding suggests that older patients on insulin or secretagogue agents should be closely monitored to prevent potential adverse events, and newer agents should be used whenever clinically appropriate.
| S-EPMC10817070 | biostudies-literature
Project description:ObjectivesNumerous studies have identified information overload as a key issue for electronic health records (EHRs). This study describes the amount of text data across all notes available to emergency physicians in the EHR, trended over the time since EHR establishment.Materials and methodsWe conducted a retrospective analysis of EHR data from a large healthcare system, examining the number of notes and a corresponding number of total words and total tokens across all notes available to physicians during patient encounters in the emergency department (ED). We assessed the change in these metrics over a 17-year period between 2006 and 2023.ResultsThe study cohort included 730 968 ED visits made by 293 559 unique patients and a total note count of 132 574 964. The median note count for all encounters in 2006 was 5 (IQR 1-16), accounting for 1735 (IQR 447-5521) words. By the last full year of the study period, 2022, the median number of notes had grown to 359 (IQR 84-943), representing 359 (IQR 84-943) words. Note and word counts were higher for admitted patients.DiscussionThe volume of notes available for review by providers has increased by over 30-fold in the 17 years since the implementation of the EHR at a large health system. The task of reviewing these notes has become commensurately more difficult. These data point to the critical need for new strategies and tools for filtering, synthesizing, and summarizing information to achieve the promise of the medical record.
| S-EPMC11110617 | biostudies-literature