Dataset Information

A Population-Based Assessment of Emergency Department Observation Status for Older Adults With Cancer.

ABSTRACT: Background: Hospitals' use of observation status for patients with cancer presenting to the emergency department (ED) is not well understood. This model of care delivery may be a viable alternative to inpatient admission for patients with cancer presenting with certain conditions. Our objective was to assess the use of observation status among Medicare beneficiaries with and without cancer. Methods: Population-based SEER-Medicare data were used to assess differences in the use of observation status between Medicare beneficiaries aged ?66 years with and without cancer using a matched analysis (n=151,183 per cohort). We assessed the ratio of observation unit use to inpatient admission, between cancer and noncancer cohorts, and for patients diagnosed with breast, colon, lung, and prostate cancers. Poisson regression models were used to calculate observation rate estimates and 95% CIs while adjusting for selected patient characteristics. Results: When considering the volume of hospitalizations, observation status is used less frequently among beneficiaries with cancer than those without (43 vs 69 observation status visits per 1,000 inpatient admissions, respectively). The estimated observation rate per 1,000 inpatient admissions was higher for beneficiaries aged <75 years versus those aged ?75 years, those with a Charlson comorbidity index of 0 vs 1 or ?2, and those without a prior hospitalization versus those with ?1 prior hospitalizations. Patients with breast and prostate cancers had higher adjusted and unadjusted observation rates per 1,000 inpatient admissions compared with those with colon and lung cancers. Conclusions: Observation status is used proportionately less for beneficiaries with cancer than those without. There may be opportunities to develop standards for ED staff to manage certain conditions for patients with cancer in observation status, and to reserve hospital resources for those who need it most.

SUBMITTER: Lipitz-Snyderman A

PROVIDER: S-EPMC7539684 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

A Population-Based Assessment of Emergency Department Observation Status for Older Adults With Cancer.

Lipitz-Snyderman Allison A Klotz Adam A Gennarelli Renee L RL Groeger Jeffrey J

Journal of the National Comprehensive Cancer Network : JNCCN 20171001 10

<b>Background:</b> Hospitals' use of observation status for patients with cancer presenting to the emergency department (ED) is not well understood. This model of care delivery may be a viable alternative to inpatient admission for patients with cancer presenting with certain conditions. Our objective was to assess the use of observation status among Medicare beneficiaries with and without cancer. <b>Methods:</b> Population-based SEER-Medicare data were used to assess differences in the use of o ...[more]

PMID: 28982749

Similar Datasets

Project description:BackgroundUnscheduled emergency department return visits (EDRVs) are key indicators for monitoring the quality of emergency medical care. A high return rate implies that the medical services provided by the emergency department (ED) failed to achieve the expected results of accurate diagnosis and effective treatment. Older adults are more susceptible to diseases and comorbidities than younger adults, and they exhibit unique and complex clinical characteristics that increase the difficulty of clinical diagnosis and treatment. Older adults also use more emergency medical resources than people in other age groups. Many studies have reviewed the causes of EDRVs among general ED patients; however, few have focused on older adults, although this is the age group with the highest rate of EDRVs.ObjectiveThis aim of this study is to establish a model for predicting unscheduled EDRVs within a 72-hour period among patients aged 65 years and older. In addition, we aim to investigate the effects of the influencing factors on their unscheduled EDRVs.MethodsWe used stratified and randomized data from Taiwan's National Health Insurance Research Database and applied data mining techniques to construct a prediction model consisting of patient, disease, hospital, and physician characteristics. Records of ED visits by patients aged 65 years and older from 1996 to 2010 in the National Health Insurance Research Database were selected, and the final sample size was 49,252 records.ResultsThe decision tree of the prediction model achieved an acceptable overall accuracy of 76.80%. Economic status, chronic illness, and length of stay in the ED were the top three variables influencing unscheduled EDRVs. Those who stayed in the ED overnight or longer on their first visit were less likely to return. This study confirms the results of prior studies, which found that economically underprivileged older adults with chronic illness and comorbidities were more likely to return to the ED.ConclusionsMedical institutions can use our prediction model as a reference to improve medical management and clinical services by understanding the reasons for 72-hour unscheduled EDRVs in older adult patients. A possible solution is to create mechanisms that incorporate our prediction model and develop a support system with customized medical education for older patients and their family members before discharge. Meanwhile, a reasonably longer length of stay in the ED may help evaluate treatments and guide prognosis for older adult patients, and it may further reduce the rate of their unscheduled EDRVs.

Project description:OBJECTIVES:To characterize assessments of a patient's ability to report elder abuse within the context of an emergency department (ED)-based screen for elder abuse. DESIGN:Cross-sectional study in which participants were screened for elder abuse and neglect. SETTING:Academic ED in the United States. PARTICIPANTS:Patients, aged 65?years and older, presenting to an ED for acute care were assessed by trained research assistants or nurses. MEASUREMENTS:All patients completed the four-item Abbreviated Mental Test 4 (AMT4), then completed a safety interview (using the Emergency Department Senior Abuse Identification tool) designed to detect multiple domains of elder abuse and received a physical examination. Based on the cognitive assessment and safety interview, assessors ranked their confidence in the patient's ability to report abuse as absolutely confident, confident, somewhat confident, or not confident. To assess interrater reliability, two assessors independently rated confidence for a subset of patients. RESULTS:Assessors suspected elder abuse in 18 of 276 patients (6.5%). Assessors were absolutely confident in the patient's ability to report abuse for 95.7% of patients, confident for 2.5%, somewhat confident for 1.5%, and not confident for 0.3%. Among patients with an AMT4?of 4 (n = 249), assessors were confident or absolutely confident in 100% of patients. Among patients with an AMT4?of less than 4 (n = 27), they were confident or absolutely confident in the patient's ability to report abuse for 81% of patients, including 11 of 12 patients with mild cognitive impairment and 7 of 11 patients with severe cognitive impairment. For patients receiving paired evaluations (n = 131), agreement between assessors regarding patient ability to report abuse was 97% (? = 0.5). CONCLUSIONS:In this sample of older adults receiving care in an ED, research assistants and nurses felt that the vast majority were able to report elder abuse, including many patients with cognitive impairment. J Am Geriatr Soc 68:170-175, 2019.

Project description:ObjectivesPublished literature on national emergency department (ED) revisit rates among older adults with dementia is sparse, despite anecdotal evidence of higher ED utilization. Thus we evaluated the odds ratio (OR) of 30-day ED revisits among older adults with dementia using a nationally representative sample.DesignWe assessed the frequency of claims associated with a 30-day ED revisit among Medicare beneficiaries with and without a dementia diagnosis before or at index ED visit. We used a logistic regression model controlling for dementia, age, sex, race, region, Medicaid status, transfer to a skilled nursing facility after ED, primary care physician use 12 months before index, and comorbidity.SettingA nationally representative sample of claims data for Medicare beneficiaries aged 65 and older who maintained continuous fee-for-service enrollment during 2015 and 2016. Only outpatient claims associated with an ED visit between January 2016 and November 2016 were included as a qualifying index encounter.ParticipantsWe identified 240 249 patients without dementia and 54 622 patients for whom a dementia code was recorded in the year before the index encounter in 2016.ResultsOur results indicate a significant difference in unadjusted 30-day ED revisit rates among those with an ED dementia diagnoses (22.0%) compared with those without (13.9%). Our adjusted results indicated that dementia is a significant predictor of 30-day ED revisits (P < .0001). Those with a dementia diagnosis at or before the index ED visit were more likely to have experienced an ED revisit within 30 days (OR = 1.27; 95% confidence interval = 1.24-1.31).ConclusionDementia diagnoses were a significant predictor of 30-day ED revisits. Further research should assess potential reasons why dementia is associated with markedly higher revisit rates, as well as opportunities to manage and transition dementia patients from the ED back to the community more effectively. J Am Geriatr Soc 67:2254-2259, 2019.

Dataset Information

A Population-Based Assessment of Emergency Department Observation Status for Older Adults With Cancer.

Publications

A Population-Based Assessment of Emergency Department Observation Status for Older Adults With Cancer.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets