Dataset Information

Hospital crossover increases utilization for people with epilepsy: a retrospective cohort study.

ABSTRACT: "Hospital crossover" occurs when people visit multiple hospitals for care, which may cause gaps in electronic health records. Although crossover is common among people with epilepsy, the effect on subsequent use of health services is unknown. Understanding this effect will help prioritize health care delivery innovations targeted for this population.We collected de-identified information from a health information exchange network describing 7,836 people with epilepsy who visited any of seven hospitals in New York, NY from 2009-2012. Data included demographics, comorbidities, and 2 years of visit information from ambulatory, inpatient, emergency department (ED), and radiology settings. We performed two complementary retrospective cohort analyses, in order to (1) illustrate the effect on a carefully selected subgroup, and (2) confirm the effect across the study population. First, we performed a matched cohort analysis on 410 pairs of individuals with and without hospital crossover in the baseline year. Second, we performed a propensity score odds weighted ordinal logistic regression analysis to estimate the effect across all 7,836 individuals. The outcomes were the use of six health services in the follow-up year.In the matched pair analysis, baseline hospital crossover increased the odds of more visits in the ED (odds ratio 1.42, 95% confidence interval [CI] 1.05-1.95) and radiology settings (1.7, 1.22-2.38). The regression analysis confirmed the ED and radiology findings, and also suggested that crossover led to more inpatient admissions (1.35, 1.11-1.63), head CTs (1.44, 1.04-2), and brain MRIs (2.32, 1.59-3.37).Baseline hospital crossover is an independent marker for subsequent increased health service use in multiple settings among people with epilepsy. Health care delivery innovations targeted for people with epilepsy who engage in hospital crossover should prioritize (1) sharing radiology images and reports (to reduce unnecessary radiology use, particularly head CTs), and (2) improving coordination of care (to reduce unnecessary ED and inpatient use).

SUBMITTER: Grinspan ZM

PROVIDER: S-EPMC4610742 | biostudies-other | 2015 Jan

REPOSITORIES: biostudies-other

ACCESS DATA

Publications

Hospital crossover increases utilization for people with epilepsy: a retrospective cohort study.

Grinspan Zachary M ZM Shapiro Jason S JS Abramson Erika L EL Jung Hye-Young HY Kaushal Rainu R Kern Lisa M LM

Epilepsia 20150109 1

<h4>Objectives</h4>"Hospital crossover" occurs when people visit multiple hospitals for care, which may cause gaps in electronic health records. Although crossover is common among people with epilepsy, the effect on subsequent use of health services is unknown. Understanding this effect will help prioritize health care delivery innovations targeted for this population.<h4>Methods</h4>We collected de-identified information from a health information exchange network describing 7,836 people with ep ...[more]

PMID: 25571986

Similar Datasets

Project description:ObjectivesAre multiple missed appointments in general practice associated with increased use of hospital services and missingness from hospital care? This novel study explores this in a population representative sample for the first time.Design, setting, participantsA large, retrospective cohort (n = 824,374) of patient records from a nationally representative sample of GP practices, Scotland, 2013-2016. Requested data were extracted by a Trusted Third Party for the NHS, anonymised and linked to a unique patient ID, in the NHS Safehaven for analysis using established NHS Scotland linkage. We calculated the per-patient number of GP missed appointments from individual appointments and investigated the likelihood of hospital appointment or admission outcomes using a negative binomial model offset by number of GP appointments made. These models also controlled for age, sex, Scottish Index of Multiple Deprivation (SIMD) and number of long- term conditions (LTCs).Main outcome measuresHospital attendance: Outpatient clinic attendances; hospital admissions; Emergency Department (ED) attendances. Hospital missingness: 'Did not attend' (DNAs) outpatient clinic appointments, 'irregular discharges' from admissions, and 'left before care completed' ED care episodes.ResultsAttendance: Patients in the high missed GP appointment (HMA) category were higher users of outpatient services (rate ratio (RR) 1.90, 95% confidence intervals (CI) 1.88-1.93) compared to those who missed none (NMA) with a much higher attendance risk at mental health services (RR 4.56, 95% CI 4.31-4.83). HMA patients were more likely to be admitted to hospital; general admissions (RR 1.67, 95% CI 1.65-1.68), maternity (RR 1.24, 95% CI 1.20-1.28) and mental health (RR 1.23, 95% CI 1.15-1.31), compared to NMA patients. Missing GP appointments was not associated with ED attendance; (RR 1.00, CI 0.99-1.01). Missingness: HMA patients were at greater risk of missing outpatient appointments (RR 1.62, 95% CI 1.60-1.64) than NMA patients; with a much higher risk of non-attendance at mental health services (RR 7.83, 95% CI 7.35-8.35). Patients were more likely to leave hospital before their care plan was completed-taking 'irregular discharges' (RR 4.56, 95% CI 4.31-4.81). HMA patients were no more at risk of leaving emergency departments 'without care being completed' (RR1.02, 95 CI 0.95-1.09).ConclusionsPatients who miss high numbers of GP appointments are higher users of outpatient and inpatient hospital care but not of emergency departments, signalling high treatment burden. The pattern of 'missingness' is consistent from primary care to hospital care: patients who have patterns of missing GP appointments have patterns of missing many outpatient appointments and are more likely to experience 'irregular discharge' from in-patient care. Missingness from outpatient mental health services is very high. Policymakers, health service planners and clinicians should consider the role and contribution of 'missingness' in health care to improving patient safety and care.

Project description:BACKGROUND: The role of biologic therapies in the treatment of rheumatoid arthritis has expanded, but dosing patterns in the first versus subsequent lines of therapy have not been thoroughly explored. METHODS: In order to describe patterns of biologic agent utilization among patients with rheumatoid arthritis, health care claims data on use of abatacept, rituximab, or the anti-tumor necrosis factor (TNF) agents etanercept, adalimumab, and infliximab in first- or subsequent-line settings were used to form patient cohorts. Variables included: starting dose (first administration or fill), maintenance dose (third administration or fill), average dose, dose escalation, inter-infusion interval, and discontinuation (gap in therapy > 60 days or switch). Time to discontinuation was assessed with Kaplan-Meier curves and Cox proportional hazards models. RESULTS: Over 1 year, average (SD) doses of first-line etanercept (N = 1593; 45.4 [8.8] mg/week), adalimumab (N = 1040; 40.7 [10.4] mg/2 weeks), and abatacept (N = 360; 715.4 [214.5] mg/4 weeks) were similar to the starting and maintenance doses; the average infliximab dose (N = 538; 441.0 [209.2] mg/8 weeks) was greater than the starting and maintenance doses. Trends in the subsequent-line anti-TNF cohorts were similar. The percentages with a dose escalation or discontinuation were greater in the subsequent-line anti-TNF cohorts. The proportion with a dose escalation was greatest for the infliximab cohorts (61.2% first-line and 80.2% subsequent-line). The average period between abatacept infusions was 4.8 [1.4] weeks (4-week approved schedule); and 6.8 [2.6] months between rituximab courses (currently approved schedule is 6 months). Time to discontinuation was significantly shorter for subsequent-line than first-line anti-TNF therapy (median 9.7 vs. 12.5 mo; p < 0.001). The hazard ratio for discontinuing subsequent-line versus first-line anti-TNF therapy was 1.177 (p < 0.001). CONCLUSIONS: Subsequent-line anti-TNF therapy cohorts had higher rates of discontinuation, dose escalation, and shorter time to discontinuation than first-line anti-TNF cohorts.

Dataset Information

Hospital crossover increases utilization for people with epilepsy: a retrospective cohort study.

Publications

Hospital crossover increases utilization for people with epilepsy: a retrospective cohort study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets