Dataset Information

Hospitalization, Asthma Phenotypes, and Readmission Rates in Pre-school Asthma.

ABSTRACT: Objective: Children with pre-school asthma suffer disproportionally more often from severe asthma exacerbations with emergency visits and hospital admissions compared to school children. Despite this high disease burden, there are only a few reports looking at this particular severe asthma cohort. Similarly, there is little real-life research on the distribution of asthma phenotypes and personalized treatment at discharge in this age group. Patients and Methods: Retrospective analysis of the electronic charts of all children aged 1-5 years with asthma hospitalizations (ICD J45) at the Frankfurt University between 2008 and 2017. An acute severe asthma exacerbation was defined as dyspnea, oxygen demand, and/or systemic steroid therapy. Age, gender, duration of hospitalization, asthma phenotype, treatment, and readmission rate were analyzed. Results: Of 572 patients, 205 met the definition of acute severe asthma. The phenotypic characterization showed 56.1% had allergic asthma, 15.2% eosinophilic asthma and 28.7% non-allergic asthma. Of these patients, 71.7% were discharged with inhaled corticosteroids (ICS) or ICS + long-acting-beta-agonists (LABA), 15.1% with leukotriene antagonists (LTRA) and 7.3% salbutamol on demand. The rate of emergency presentations (emergency department and readmission) within 12 months after discharge was high (n = 42; 20.5%). No phenotype tailored treatment was detectable. Neither the number of eosinophils (>300/?l) nor the treatment at discharge had an effect on emergency visits and readmission rate. Conclusion: Despite protective therapy with ICS, ICS + LABA, or LTRA, the readmission rate was high. Thus, current care and treatment strategies should be reevaluated continuously, in order to better control asthma in pre-school children and prevent hospitalization.

SUBMITTER: Donath H

PROVIDER: S-EPMC7716437 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Hospitalization, Asthma Phenotypes, and Readmission Rates in Pre-school Asthma.

Donath Helena H Kluge Sven S Sideri Georgia G Trischler Jordis J Jerkic Silivija P SP Schulze Johannes J Zielen Stefan S Blumchen Katharina K

Frontiers in pediatrics 20201120

<b>Objective:</b> Children with pre-school asthma suffer disproportionally more often from severe asthma exacerbations with emergency visits and hospital admissions compared to school children. Despite this high disease burden, there are only a few reports looking at this particular severe asthma cohort. Similarly, there is little real-life research on the distribution of asthma phenotypes and personalized treatment at discharge in this age group. <b>Patients and Methods:</b> Retrospective analy ...[more]

PMID: 33330266

Similar Datasets

Project description:BackgroundWhether hospitals with the highest risk-standardized readmission rates (RSRRs) subsequently experienced the greatest improvement after passage of the Medicare Hospital Readmissions Reduction Program (HRRP) is unknown.ObjectiveTo evaluate whether passage of the HRRP was followed by acceleration in improvement in 30-day RSRRs after hospitalizations for acute myocardial infarction (AMI), congestive heart failure (CHF), or pneumonia and whether the lowest-performing hospitals had faster acceleration in improvement after passage of the law than hospitals that were already performing well.DesignPre-post analysis stratified by hospital performance groups.SettingU.S. acute care hospitals.Patients15 170 008 Medicare patients discharged alive from 2000 to 2013.InterventionPassage of the HRRP.Measurements30-day readmission rates after hospitalization for AMI, CHF, or pneumonia for hospitals in the highest-performance (0% penalty), average-performance (>0% and <0.50% penalty), low-performance (≥0.50% and <0.99% penalty), and lowest-performance (≥0.99% penalty) groups.ResultsOf 2868 hospitals serving 1 109 530 Medicare discharges annually, 30.1% were highest performers, 44.0% were average performers, 16.8% were low performers, and 9.0% were lowest performers. After controlling for prelaw trends, an additional 67.6 (95% CI, 66.6 to 68.4), 74.8 (CI, 74.0 to 75.4), 85.4 (CI, 84.0 to 86.8), and 95.1 (CI, 92.6 to 97.5) readmissions per 10 000 discharges were found to have been averted per year in the highest-, average-, low-, and lowest-performance groups, respectively, after passage of the law.LimitationInability to distinguish between improvement caused by the magnitude of the penalty or by different levels of health improvement in different patient populations.ConclusionAfter passage of the HRRP, 30-day RSRRs for myocardial infarction, heart failure, and pneumonia decreased more rapidly than before the law's passage. Improvement was most marked for hospitals with the lowest prelaw performance.Primary funding sourceNational Institutes of Health.

Project description:ObjectivesSevere sepsis is a significant cause of healthcare use and morbidity among pediatric patients, but little is known about readmission diagnoses. We sought to determine the most common readmission diagnoses after pediatric severe sepsis, the extent to which post-sepsis readmissions may be potentially preventable, and whether patterns of readmission diagnoses differ compared with readmissions after other common acute medical hospitalizations.DesignObservational cohort study.SettingNational Readmission Database (2013-2014), including all-payer hospitalizations from 22 states.PatientsFour-thousand five-hundred twenty-eight pediatric severe sepsis hospitalizations, matched by age, gender, comorbidities, and length of stay to 4,528 pediatric hospitalizations for other common acute medical conditions.InterventionsNone.Measurements and main resultsWe compared rates of 30-day all cause, diagnosis-specific, and potentially preventable hospital readmissions using McNemar's chi-square tests for paired data. Among 5,841 eligible pediatric severe sepsis hospitalizations with live discharge, 4,528 (77.5%) were matched 1:1 to 4,528 pediatric hospitalizations for other acute medical conditions. Of 4,528 matched sepsis hospitalizations, 851 (18.8% [95% CI, 16.0-18.2]) were rehospitalized within 30 days, compared with 775 (17.1% [95% CI, 17.1-20.0]) of matched hospitalizations for other causes (p = 0.02). The most common readmission diagnoses were chemotherapy, device complications, and sepsis, all of which were several-fold higher after sepsis versus after matched nonsepsis hospitalization. Only 11.5% of readmissions were for ambulatory care sensitive conditions compared with 23% of rehospitalizations after common acute medical conditions.ConclusionsMore than one in six children surviving severe sepsis were rehospitalized within 30 days, most commonly for maintenance chemotherapy, medical device complications, or recurrent sepsis. Only a small proportion of readmissions were for ambulatory care sensitive conditions.

Project description:ImportanceThe Centers for Medicare & Medicaid Services and the Veterans Affairs Health Care System provide incentives for hospitals to reduce 30-day readmission and mortality rates. In contrast with the large body of evidence describing readmission and mortality in the Medicare system, it is unclear how heart failure readmission and mortality rates have changed during this period in the Veterans Affairs Health Care System.ObjectivesTo evaluate trends in readmission and mortality after heart failure admission in the Veterans Affairs Health Care System, which had no financial penalties, in a decade involving focus on heart failure readmission reduction (2007-2017).Design, setting, and participantsThis cohort study used data from all Veterans Affairs-paid heart failure admissions from January 2007 to September 2017. All Veterans Affairs-paid hospital admissions to Veterans Affairs and non-Veterans Affairs facilities for a primary diagnosis of heart failure were included, when the admission was paid for by the Veterans Affairs. Data analyses were conducted from October 2018 to March 2020.ExposuresAdmission for a primary diagnosis of heart failure at discharge.Main outcomes and measuresThirty-day all-cause readmission and mortality rates.ResultsA total of 164 566 patients with 304 374 hospital admissions were included. Among the 304 374 hospital admissions between 2007 and 2017, 298 260 (98.0%) were for male patients, and 195 205 (64.4%) were for white patients. The mean (SD) age was 70.8 (11.5) years. The adjusted odds ratio of 30-day readmission declined throughout the study period to 0.85 (95% CI, 0.83-0.88) in 2015 to 2017 compared with 2007 to 2008. The adjusted odds ratio of 30-day mortality remained stable, with an adjusted odds ratio of 1.01 (95% CI, 0.96-1.06) in 2015 to 2017 compared with 2007 to 2008. Stratification by left ventricular ejection fraction showed similar readmission reduction trends and no significant change in mortality, regardless of strata.Conclusions and relevanceIn this analysis of an integrated health care system that provided guidance and nonfinancial incentives for reducing readmissions, such as public reporting of readmission rates, risk-adjusted 30-day readmission declined despite inclusion of clinical variables in risk adjustment, but mortality did not decline. Future investigations should focus on evaluating the effectiveness of specific approaches to readmission reduction to inform efficient and effective application in individual health systems, hospitals, and practices.

Project description:BackgroundA great deal of research has focused on how hospitals influence readmission rates. While hospitals play a vital role in reducing readmissions, a significant portion of the work also falls to primary care practices. Despite this critical role of primary care, little empirical evidence has shown what primary care characteristics or activities are associated with reductions in hospital admissions.ObjectiveTo examine the relationship between practices' readmission reduction activities and their readmission rates.Design, setting, and participantsA retrospective study of 1,788 practices who responded to the National Survey of Healthcare Organizations and Systems (fielded 2017-2018) and 415,663 hospital admissions for Medicare beneficiaries attributed to those practices from 2016 100% Medicare claims data. We constructed mixed-effects logistic regression models to estimate practice-level readmission rates and a linear regression model to evaluate the association between practices' readmission rates with their number of readmission reduction activities.InterventionsStandardized composite score, ranging from 0 to 1, representing the number of a practice's readmission reduction capabilities. The composite score was composed of 12 unique capabilities identified in the literature as being significantly associated with lower readmission rates (e.g., presence of care manager, medication reconciliation, shared-decision making, etc.).Main outcomes and measuresPractices' readmission rates for attributed Medicare beneficiaries.Key resultsRoutinely engaging in more readmission reduction activities was significantly associated (P < .05) with lower readmission rates. On average, practices experienced a 0.05 percentage point decrease in readmission rates for each additional activity. Average risk-standardized readmission rates for practices performing 10 or more of the 12 activities in our composite measure were a full percentage point lower than risk-standardized readmission rates for practices engaging in none of the activities.ConclusionsPrimary care practices that engaged in more readmission reduction activities had lower readmission rates. These findings add to the growing body of evidence suggesting that engaging in multiple activities, rather than any single activity, is associated with decreased readmissions.

Project description:ImportanceThe Affordable Care Act has led to US national reductions in hospital 30-day readmission rates for heart failure (HF), acute myocardial infarction (AMI), and pneumonia. Whether readmission reductions have had the unintended consequence of increasing mortality after hospitalization is unknown.ObjectiveTo examine the correlation of paired trends in hospital 30-day readmission rates and hospital 30-day mortality rates after discharge.Design, setting, and participantsRetrospective study of Medicare fee-for-service beneficiaries aged 65 years or older hospitalized with HF, AMI, or pneumonia from January 1, 2008, through December 31, 2014.ExposureThirty-day risk-adjusted readmission rate (RARR).Main outcomes and measuresThirty-day RARRs and 30-day risk-adjusted mortality rates (RAMRs) after discharge were calculated for each condition in each month at each hospital in 2008 through 2014. Monthly trends in each hospital's 30-day RARRs and 30-day RAMRs after discharge were examined for each condition. The weighted Pearson correlation coefficient was calculated for hospitals' paired monthly trends in 30-day RARRs and 30-day RAMRs after discharge for each condition.ResultsIn 2008 through 2014, 2 962 554 hospitalizations for HF, 1 229 939 for AMI, and 2 544 530 for pneumonia were identified at 5016, 4772, and 5057 hospitals, respectively. In January 2008, mean hospital 30-day RARRs and 30-day RAMRs after discharge were 24.6% and 8.4% for HF, 19.3% and 7.6% for AMI, and 18.3% and 8.5% for pneumonia. Hospital 30-day RARRs declined in the aggregate across hospitals from 2008 through 2014; monthly changes in RARRs were -0.053% (95% CI, -0.055% to -0.051%) for HF, -0.044% (95% CI, -0.047% to -0.041%) for AMI, and -0.033% (95% CI, -0.035% to -0.031%) for pneumonia. In contrast, monthly aggregate changes across hospitals in hospital 30-day RAMRs after discharge varied by condition: HF, 0.008% (95% CI, 0.007% to 0.010%); AMI, -0.003% (95% CI, -0.005% to -0.001%); and pneumonia, 0.001% (95% CI, -0.001% to 0.003%). However, correlation coefficients in hospitals' paired monthly changes in 30-day RARRs and 30-day RAMRs after discharge were weakly positive: HF, 0.066 (95% CI, 0.036 to 0.096); AMI, 0.067 (95% CI, 0.027 to 0.106); and pneumonia, 0.108 (95% CI, 0.079 to 0.137). Findings were similar in secondary analyses, including with alternate definitions of hospital mortality.Conclusions and relevanceAmong Medicare fee-for-service beneficiaries hospitalized for heart failure, acute myocardial infarction, or pneumonia, reductions in hospital 30-day readmission rates were weakly but significantly correlated with reductions in hospital 30-day mortality rates after discharge. These findings do not support increasing postdischarge mortality related to reducing hospital readmissions.

Dataset Information

Hospitalization, Asthma Phenotypes, and Readmission Rates in Pre-school Asthma.

Publications

Hospitalization, Asthma Phenotypes, and Readmission Rates in Pre-school Asthma.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets