Multifaceted quality improvement initiative to decrease pediatric asthma readmissions

Estimating Tiotropium Wasted Doses After Adding Revefenacin to an Inpatient Formulary: A Single-Center Cross-Sectional Study

Introduction: Revefenacin is a once-daily nebulized long-acting muscarinic antagonist (LAMA). Revefenacin is supplied as single-use nebulized vials, which may be preferable and less costly for hospital and health-system pharmacies to dispense versus multidose tiotropium inhalers. Estimates of LAMA multidose inhaler wasted doses remains unknown. Methods: This was a single-center descriptive cross-sectional study conducted between January 1 2021 and December 31 2021. Adult patients 18 years and older admitted to a 500-bed academic medical center in the southern United States and were ordered multidose tiotropium packages or single-use revefenacin vials during the study period were included. Results: Among 602 inpatients, there were 705 LAMA orders: 541 tiotropium (76.7%) and 164 revefenacin (23.3%). Four hundred ninety-five tiotropium orders (91.5%) wasted between 20% and 90% of multidose packages. Approximately $24,000 tiotropium doses were wasted versus single-use revefenacin vials. Conclusion: Multidose inhalers of tiotropium dispensed to hospitalized patients contributed to wasted doses compared to nebulized single-use revefenacin vials. Opportunities exist to minimize wasted doses of multidose long-acting inhalers dispensed to hospitalized patients.

Identifying the Prevalence and Causes of 30-Day Hospital Readmission in Children: A Case Study from a Tertiary Pediatric Hospital

Introduction

The objectives of this study were to determine the prevalence of unplanned readmissions in the pediatric population within 30 days of discharge, identify the possible reasons behind them, and develop a predictive model for unplanned admissions.

Methods

A retrospective chart review study of 25,211 patients was conducted to identify the prevalence of readmissions occurring within 30 days of discharge from the King Abdullah Specialized Children's Hospital (KASCH) in Riyadh, Saudi Arabia, between Jan 1, 2019, and Dec 31, 2021. The data were collected using the BestCare electronic health records system and analyzed using Jamovi statistical software version 1.6.

Results

Among the 25,211 patients admitted to the hospital during the study period, the prevalence of unplanned readmission within 30 days was 1291 (5.12%). Of the 1291 patients, 1.91% had subsequent unplanned readmissions. In 57.8% of the cases, the cause of the first unplanned readmission was related to the cause of the first admission, and in 90.64% of the cases, the cause of the subsequent unplanned readmission was related to the cause of the first unplanned readmission. The most common reason for the first unplanned readmission was postoperative complications (18.75%), whereas pneumonia (10.81%) was the most common reason for subsequent unplanned readmissions. Most patients with subsequent unplanned readmissions were also found to have either isolated central nervous system pathology or chronic complex medical conditions.

Conclusion

Internationally, the rate of unplanned readmissions in pediatric patients has been estimated to be 6.5% within 30 days, which is comparable to the results of our study (5.12%). Most of the causes of first and subsequent unplanned readmission were found to be related to primary admission. The diagnosis/causes of readmission vary depending on the patient's age. A predictive model for pediatric readmission should be established so that preventive measures can be implemented.

Reducing asthma hospitalisations in at-risk children: A systematic review

AIM

To identify interventions that reduce hospitalisations and improve related outcomes in children at risk of asthma hospital admissions.

METHODS

Medline, Embase, Pubmed and Cochrane Library search from January 2002 to April 2020.

INCLUSION CRITERIA

randomised controlled trials of any intervention for children with asthma who are at risk of hospitalisations.

OUTCOMES

hospitalisation (primary outcome), rescue oral corticosteroid use, school absences, quality of life and cost-effectiveness.

RESULTS

Twelve randomised controlled trials were conducted with 2719 participants. Due to heterogeneity of interventions and reporting of outcomes, a meta-analysis was not conducted. Multi-modal interventions comprising caregiver education, reduction of home environmental allergens and regular follow-up reduced hospitalisations, rescue corticosteroid use and improved quality of life. Cost-effectiveness was not reported. Three studies scored an overall low risk of bias, and nine had some concerns.

CONCLUSION

Multi-modal interventions can be effective in reducing hospitalisations, rescue oral corticosteroid use and quality of life but cost-effectiveness is unknown.

Risk Factors for Pediatric Asthma Readmissions: A Systematic Review

OBJECTIVE

To systematically review the literature on pediatric asthma readmission risk factors.

STUDY DESIGN

We searched PubMed/MEDLINE, CINAHL, Scopus, PsycINFO, and Cochrane Central Register of Controlled Trials for published articles (through November 2019) on pediatric asthma readmission risk factors. Two authors independently screened titles and abstracts and consensus was reached on disagreements. Full-text articles were reviewed and inclusion criteria applied. For articles meeting inclusion criteria, authors abstracted data on study design, patient characteristics, and outcomes, and 4 authors assessed bias risk.

RESULTS

Of 5749 abstracts, 74 met inclusion criteria. Study designs, patient populations, and outcome measures were highly heterogeneous. Risk factors consistently associated with early readmissions (≤30 days) included prolonged length of stay (OR range, 1.1-1.6) and chronic comorbidities (1.7-3.2). Risk factors associated with late readmissions (>30 days) included female sex (1.1-1.6), chronic comorbidities (1.5-2), summer discharge (1.5-1.8), and prolonged length of stay (1.04-1.7). Across both readmission intervals, prior asthma admission was the most consistent readmission predictor (1.3-5.4).

CONCLUSIONS

Pediatric asthma readmission risk factors depend on the readmission interval chosen. Prior hospitalization, length of stay, sex, and chronic comorbidities were consistently associated with both early and late readmissions.

TRIAL REGISTRATION

CRD42018107601.

The Role of Value Stream Mapping in Healthcare Services: A Scoping Review

Lean healthcare aims to manage and improve the processes in the healthcare sector by eliminating everything that adds no value by improving quality of services, ensuring patient safety and facilitating health professionals’ work to achieve a flexible and reliable organization. Value Stream Mapping (VSM) is considered the starting point of any lean implementation. Some papers report applications of VSM in healthcare services, but there has been less attention paid to their contribution on sustainability indicators. The purpose of this work is to analyze the role of VSM in this context. To do so, a scoping review of works from recent years (2015 to 2019) was done. The results show that most applications of VSM reported are in the tertiary level of care, and the United States of America (USA) is the country which leads most of the applications published. In relation with the development of VSM, a heterogeneity in the maps and the sustainability indicators is remarkable. Moreover, only operational and social sustainability indicators are commonly included. We can conclude that more standardization is required in the development of the VSM in the healthcare sector, also including the environmental indicators.

An Asthma Population Health Improvement Initiative for Children With Frequent Hospitalizations

OBJECTIVES

A relatively small proportion of children with asthma account for an outsized proportion of health care use. Our goal was to use quality improvement methodology to reduce repeat emergency department (ED) and inpatient care for patients with frequent asthma-related hospitalization.

METHODS

Children ages 2 to 17 with ≥3 asthma-related hospitalizations in the previous year who received primary care at 3 in-network clinics were eligible to receive a bundle of 4 services including (1) a high-risk asthma screener and tailored education, (2) referral to a clinic-based asthma community health worker program, (3) facilitated discharge medication filling, and (4) expedited follow-up with an allergy or pulmonology specialist. Statistical process control charts were used to estimate the impact of the intervention on monthly 30-day revisits to the ED or hospital. We then conducted a difference-in-differences analysis to compare changes between those receiving the intervention and a contemporaneous comparison group.

RESULTS

From May 1, 2016, to April 30, 2017, we enrolled 79 patients in the intervention, and 128 patients constituted the control group. Among the eligible population, the average monthly proportion of children experiencing a revisit to the ED and hospital within 30 days declined by 38%, from a historical baseline of 24% to 15%. Difference-in-differences analysis demonstrated 11.0 fewer 30-day revisits per 100 patients per month among intervention recipients relative to controls (95% confidence interval: -20.2 to -1.8; P = .02).

CONCLUSIONS

A multidisciplinary quality improvement intervention reduced health care use in a high-risk asthma population, which was confirmed by using quasi-experimental methodology. In this study, we provide a framework to analyze broader interventions targeted to frequently hospitalized populations.

Pediatric asthma hospitalization: individual and environmental characteristics of high utilizers in South Texas

OBJECTIVE

Few studies have examined factors affecting the high frequency of hospitalization for pediatric asthma. This study identifies individual and environmental characteristics of children with asthma from a low-income community with a high number of hospitalizations.

METHODS

The study population included 902 children admitted at least once to a children's hospital in South Texas because of asthma from 2010 to 2016. The population was divided into three groups by utilization frequency (high: ≥4 times, medium: 2-3 times, or low: 1 time). Individual-level factors at index admission and environmental factors were included for the analysis. Unadjusted and adjusted multivariate ordered logistic regression models were applied to identify significant characteristics of high hospital utilizers.

RESULTS

The high utilization group comprised 2.4% of total patients and accounted for substantial hospital resource utilization: 10.8% of all admissions and 13.5% of days stayed in the hospital. Patients in the high utilization group showed longer length of stay (LOS) and shorter time between admissions on average than the other two groups. The multivariate ordered logistic regression models revealed that age of 5-11 years (OR = 0.57, 95%CI = 0.35-0.93), longer LOS (2 days: OR = 1.80, 95%CI = 1.15-2.84; ≥3 days: OR = 3.38, 95%CI = 2.10-5.46), warm season at index admission (OR = 1.49, 95%CI = 1.01-2.20), and higher average ozone level in children's residential neighborhoods (OR = 1.78, 95%CI = 1.01-3.14) were significantly associated with a higher number of asthma hospitalizations.

CONCLUSIONS

The findings suggest the importance of monitoring high hospital utilizers and establishing strategies for such patients based on their characteristics to reduce repeated hospitalizations and to increase optimal use of hospital resources.

Prediction of 7-Day Readmission Risk for Pediatric Trauma Patients

BACKGROUND

Pediatric patients admitted for trauma may have unique risk factors of unplanned readmission and require condition-specific models to maximize accuracy of prediction. We used a multicenter data set on trauma admissions to study risk factors and predict unplanned 7-day readmissions with comparison to the 30-day metric.

METHODS

Data from 28 hospitals in the United States consisting of 82,532 patients (95,158 encounters) were retrieved, and 75% of the data were used for building a random intercept, mixed-effects regression model, whereas the remaining were used for evaluating model performance. The variables included were demographics, payer, current and past health care utilization, trauma-related and other diagnoses, medications, and surgical procedures.

RESULTS

Certain conditions such as poisoning and medical/surgical complications during treatment of traumatic injuries are associated with increased odds of unplanned readmission. Conversely, trauma-related conditions, such as trauma to the thorax, knee, lower leg, hip/thigh, elbow/forearm, and shoulder/upper arm, are associated with reduced odds of readmission. Additional predictors include the current and past health care utilization and the number of medications. The corresponding 7-day model achieved an area under the receiver operator characteristic curve of 0.737 (0.716, 0.757) on an independent test set and shared similar risk factors with the 30-day version.

CONCLUSIONS

Patients with trauma-related conditions have risk of readmission modified by the type of trauma. As a result, additional quality of care measures may be required for patients with trauma-related conditions that elevate their risk of readmission.

Factors Associated With Return Visits at 7 Days After Hospital Discharge

OBJECTIVE

To identify variables associated with return visits to the hospital within 7 days after discharge.

METHODS

We performed a retrospective study of 7-day revisits and readmissions between October 2012 and September 2015 using the Pediatric Health Information System database supplemented by electronic medical record data from a tertiary-care children's hospital. We examined factors associated with revisits among the top 10 most frequent indications for hospitalization using generalized estimating equations.

RESULTS

There were 736 (4.2%) revisits and 416 (2.3%) readmissions within 7 days. Predictors of 7-day revisits and readmissions included age, length of hospital stay, and presence of a chronic medical condition. In addition, insurance status was associated with risk of revisits and race was associated with risk of readmissions in the bivariate analysis.

CONCLUSIONS

In this study, we identified patient characteristics that may be associated with a higher risk of early return to the emergency department and/or readmissions. Early identification of this at-risk group of patients may provide opportunities for intervention and enhanced care coordination at discharge.

Risk factors for readmission of children hospitalized with acute asthma attacks in South China

OBJECTIVE

Asthma seriously endangers the health of children. Re-hospitalization for childhood asthma consumes a large amount of medical and health resources. The present study aimed to assess the rates and risk factors for hospital readmission of children with acute asthma attacks in south China.

METHODS

We retrospectively enrolled 1702 acute asthma patients aged < 18 years from 1/1/2007 to 12/31/2015. Patients who were readmitted within one year after index hospital discharge were divided into a readmission group. Index hospitalization data were acquired from clinical records. Chi-square tests and multivariate logistic regression analyses were used to evaluate the risk factors.

RESULTS

There were 90 (5.29%) readmitted patients from 1702 acute asthma patients. Considering the large sample differences between readmitted and single-admitted patients, 123 single-admitted patients (1.5-fold as many as the readmitted group) were randomly selected. Further univariate Chi-square tests and multivariate logistic regression analyses showed that the predictors of readmission included eczema history (odds ratio (OR) 3.122, p = 0.003) and mycoplasma pneumoniae (MP) antibody immunoglobulin M(IgM) (OR 2.386, p = 0.037).

CONCLUSIONS

Among the children admitted to a hospital in south China with acute asthma attacks, 5.29% were readmitted within the following year. Patients with history of eczema and positive MP antibody IgM had significantly increased the chances of one-year readmission, underlining the importance of targeted long-term postdischarge follow-up of these children.

A Statistical-Learning Model for Unplanned 7-Day Readmission in Pediatrics

OBJECTIVES

The rate of pediatric 7-day unplanned readmissions is often seen as a measure of quality of care, with high rates indicative of the need for improvement of quality of care. In this study, we used machine learning on electronic health records to study predictors of pediatric 7-day readmissions. We ranked predictors by clinical significance, as determined by the magnitude of the least absolute shrinkage and selection operator regression coefficients.

METHODS

Data consisting of 50 241 inpatient and observation encounters at a single tertiary pediatric hospital were retrieved; 50% of these patients' data were used for building a least absolute shrinkage and selection operator regression model, whereas the other half of the data were used for evaluating model performance. The categories of variables included were demographics, social determinants of health, severity of illness and acuity, resource use, diagnoses, medications, psychosocial factors, and other variables such as primary care no show.

RESULTS

Previous hospitalizations and readmissions, medications, multiple comorbidities, longer current and previous lengths of stay, certain diagnoses, and previous emergency department use were the most significant predictors modifying a patient's risk of 7-day pediatric readmission. The model achieved an area under the curve of 0.778 (95% confidence interval 0.763-0.793).

CONCLUSIONS

Predictors such as medications, previous and current health care resource use, history of readmissions, severity of illness and acuity, and certain psychosocial factors modified the risk of unplanned 7-day readmissions. These predictors are mostly unmodifiable, indicating that intervention plans on high-risk patients may be developed through discussions with patients and parents to identify underlying modifiable causal factors of readmissions.

Annual Report on Health Care for Children and Youth in the United States: Focus on 30-Day Unplanned Inpatient Readmissions, 2009 to 2014

OBJECTIVE

To describe trends in unplanned 30-day all-condition hospital readmissions for children aged 1 to 17 years between 2009 and 2014.

METHODS

Analysis was conducted with the 2009-14 Nationwide Readmissions Database from the Agency for Healthcare Research and Quality's Healthcare Cost and Utilization Project. Annual hospital readmission rates, resource use, and the most common reasons for readmission were calculated for the 2009-14 period.

RESULTS

The rate of readmission for children aged 1 to 17 years was essentially stable between 2009 and 2014 (5.5% in 2009 and 5.9% in 2014). In 2009, the most common reason (principal diagnosis) for readmission was sickle cell anemia, whereas in 2014 the most common reason was epilepsy. Pneumonia fell from the second to the sixth most common reason for readmission over this period (from 3832 to 2418 stays). Other respiratory infections were among the top 10 principal readmission diagnoses in 2009, but not in 2014. Septicemia was among the 10 most common reasons for readmission in 2014, but not in 2009. Although the average cost of index (ie, initial) stays with a subsequent readmission were similar in 2009 and 2014, the average cost of index stays without a readmission and cost of readmission stays increased by approximately 23%. In both 2009 and 2014, the average cost of the index stays with a subsequent readmission was 73% to 89% higher than that of the index stays of children who were not readmitted within 30 days. The average cost of index stays preceding a readmission was 33% to 45% higher than average costs for readmitted stays. In 2014, the aggregate cost of index stays plus readmissions was $1.58 billion, with 42.9% of the costs attributable to readmissions. Regarding the average costs and lengths of stay for the 10 most common readmission diagnoses, in 2009 the average cost per stay for complications of devices, implants, or grafts was nearly 5 times greater than that of asthma ($21,200 vs $4500, respectively). In 2014, average cost per stay ranged from $5500 for asthma to $39,500 for septicemia. In 2009, the average length of stay (LOS) for complications of devices, implants, or grafts was more than 3 three times higher than that for asthma (7.8 days vs 2.5 days, respectively), and in 2014, the average LOS for septicemia was nearly 4 times higher than that for asthma (10.4 days vs. 2.6 days).

CONCLUSIONS

This study provides a baseline assessment for examining trends in 30-day unplanned pediatric readmissions, an important quality metric as the provisions of the Children's Health Insurance Program Reauthorization Act and the Affordable Care Act are changed and implemented in the future. More than 50,000 pediatric hospital stays in 2014 occurred within 30 days of a previous hospitalization, with an average cost of $13,800. This report is timely, as the health care system works to become more patient-centered and public and private payers grapple with how to pay for quality care for children. The report provides baseline information that can be used to further explore ways to reduce unplanned readmissions.

School nurse asthma program reduces healthcare utilization in children with persistent asthma

OBJECTIVE

We examined the impact of a novel, school nurse-supervised asthma therapy program on healthcare utilization.

METHODS

We retrospectively reviewed charts of 84 children enrolled in this program in central Massachusetts between 2012 and 2015. Physicians identified children with persistent asthma and poor medication adherence. These children were enrolled in the program to receive daily-inhaled corticosteroid at school, supervised by their school nurse, with ongoing communication between physician's office and school nurse through the school year. This program relied on established family, provider and school resources rather than research staff. The primary outcome was change in the number of emergency department (ED) visits in the year before and after enrollment. Secondary outcomes were hospital admissions, school absences, and rescue medication use.

RESULTS

The study population was on average 10.5 years old, 63% male, 67% Hispanic, 19% black, 14% white with 95% using Medicaid insurance. Asthma-related ED visits over a 1-year period decreased 37.5%, from a pre-intervention mean of 0.8 visits to a post-intervention mean of 0.3 visits (p < 0.001). Asthma-related hospital admissions decreased from a pre-intervention mean of 0.3 admissions to post-intervention mean of 0 admissions (p < 0.001). Asthma rescue medication refills decreased by 46.3% from the pre- to post-intervention period (p = <.001). There were also non-significant declines in school absences and oral steroid use for children enrolled.

CONCLUSIONS

We demonstrate a significant reduction in healthcare utilization for children enrolled in this unique school nurse-supervised asthma program, which utilizes a clinical-school partnership to deliver preventative asthma medication to school-aged children under sustainable conditions.

A Novel Model for Enhanced Prediction and Understanding of Unplanned 30-Day Pediatric Readmission

OBJECTIVES

To develop a model to assist clinicians in reducing 30-day unplanned pediatric readmissions and to enhance understanding of risk factors leading to such readmissions.

METHODS

Data consisting of 38 143 inpatient clinical encounters at a tertiary pediatric hospital were retrieved, and 50% were used for training on a multivariate logistic regression model. The pediatric Rothman Index (pRI) was 1 of the novel candidate predictors considered. Multivariate model selection was conducted by minimization of Akaike Information Criteria. The area under the receiver operator characteristic curve (AUC) and values for sensitivity, specificity, positive predictive value, relative risk, and accuracy were computed on the remaining 50% of the data.

RESULTS

The multivariate logistic regression model of readmission consists of 7 disease diagnosis groups, 4 measures of hospital resource use, 3 measures of disease severity and/or medical complexities, and 2 variables derived from the pRI. Four of the predictors are novel, including history of previous 30-day readmissions within last 6 months (P < .001), planned admissions (P < .001), the discharge pRI score (P < .001), and indicator of whether the maximum pRI occurred during the last 24 hours of hospitalization (P = .005). An AUC of 0.79 (0.77-0.80) was obtained on the independent test data set.

CONCLUSIONS

Our model provides significant performance improvements in the prediction of unplanned 30-day pediatric readmissions with AUC higher than the LACE readmission model and other general unplanned 30-day pediatric readmission models. The model is expected to provide an opportunity to capture 39% of readmissions (at a selected operating point) and may therefore assist clinicians in reducing avoidable readmissions.

Inpatient Quality Improvement Interventions for Asthma: A Meta-analysis

CONTEXT

Despite the availability of evidence-based guidelines for the management of pediatric asthma, health care utilization remains high.

OBJECTIVE

Systematically review the inpatient literature on asthma quality improvement (QI) and synthesize impact on subsequent health care utilization.

DATA SOURCES

Medline and Cumulative Index to Nursing and Allied Health Literature (January 1, 1991-November 16, 2016) and bibliographies of retrieved articles.

STUDY SELECTION

Interventional studies in English of inpatient-initiated asthma QI work.

DATA EXTRACTION

Studies were categorized by intervention type and outcome. Random-effects models were used to generate pooled risk ratios for health care utilization outcomes after inpatient QI interventions.

RESULTS

Thirty articles met inclusion criteria and 12 provided data on health care reutilization outcomes. Risk ratios for emergency department revisits were: 0.97 (95% confidence interval [CI]: 0.06-14.47) <30 days, 1.70 (95% CI: 0.67-4.29) for 30 days to 6 months, and 1.22 (95% CI: 0.52-2.85) for 6 months to 1 year. Risk ratios for readmissions were: 2.02 (95% CI: 0.73-5.61) for <30 days, 1.68 (95% CI: 0.88-3.19) for 30 days to 6 months, and 1.27 (95% CI 0.85-1.90) for 6 months to 1 year. Subanalysis of multimodal interventions suggested lower readmission rates (risk ratio: 1.49 [95% CI: 1.17-1.89] over a period of 30 days to 1 year after the index admission). Subanalysis of education and discharge planning interventions did not show effect.

LIMITATIONS

Linkages between intervention and outcome are complicated by the multimodal approach to QI in most studies.

CONCLUSIONS

We did not identify any inpatient strategies impacting health care reutilization within 30 days of index hospitalization. Multimodal interventions demonstrated impact over the longer interval.

Impact of Discharge Components on Readmission Rates for Children Hospitalized with Asthma

OBJECTIVES

To describe hospital-based asthma-specific discharge components at children's hospitals and determine the association of these discharge components with pediatric asthma readmission rates.

STUDY DESIGN

This is a multicenter retrospective cohort study of pediatric asthma hospitalizations in 2015 at children's hospitals participating in the Pediatric Health Information System. Children ages 5 to 17 years were included. An electronic survey assessing 13 asthma-specific discharge components was sent to quality leaders at all 49 hospitals. Correlations of combinations of asthma-specific discharge components and adjusted readmission rates were calculated.

RESULTS

The survey response rate was 92% (45 of 49 hospitals). Thirty-day and 3-month adjusted readmission rates varied across hospitals, ranging from 1.9% to 3.9% for 30-day readmissions and 5.7% to 9.1% for 3-month readmissions. No individual or combination discharge components were associated with lower 30-day adjusted readmission rates. The only single-component significantly associated with a lower rate of readmission at 3 months was having comprehensive content of education (P < .029). Increasing intensity of discharge components in bundles was associated with reduced adjusted 3-month readmission rates, but this did not reach statistical significance. This was seen in a 2-discharge component bundle including content of education and communication with the primary medical doctor, as well as a 3-discharge component bundle, which included content of education, medications in-hand, and home-based environmental mitigation.

CONCLUSIONS

Children's hospitals demonstrate a range of asthma-specific discharge components. Although we found no significant associations for specific hospital-level discharge components and asthma readmission rates at 30 days, certain combinations of discharge components may support hospitals to reduce healthcare utilization at 3 months.