Implementing pediatric inpatient asthma pathways

Wide Institutional Variability in the Treatment of Pediatric Critical Asthma: A Multicenter Retrospective Study

OBJECTIVES

Children with status asthmaticus refractory to first-line therapies of systemic corticosteroids and inhaled beta-agonists often receive additional treatments. Because there are no national guidelines on the use of asthma therapies in the PICU, we sought to evaluate institutional variability in the use of adjunctive asthma treatments and associations with length of stay (LOS) and PICU use.

DESIGN

Multicenter retrospective cohort study.

SETTING

Administrative data from the Pediatric Health Information Systems (PHIS) database.

PATIENTS

All inpatients 2-18 years old were admitted to a PHIS hospital between 2013 and 2021 with a diagnostic code for asthma.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

This study included 213,506 inpatient encounters for asthma, of which 29,026 patient encounters included care in a PICU from 39 institutions. Among these PICU encounters, large variability was seen across institutions in both the number of adjunctive asthma therapies used per encounter (min: 0.6, median: 1.7, max: 2.5, p < 0.01) and types of adjunctive asthma therapies (aminophylline, ipratropium, magnesium, epinephrine, and terbutaline) used. The center-level median hospital LOS ranged from 1 (interquartile range [IQR]: 1, 3) to 4 (3, 6) days. Among all the 213,506 inpatient encounters for asthma, the range of asthma admissions that resulted in PICU admission varied between centers from 5.2% to 47.3%. The average number of adjunctive therapies used per institution was not significantly associated with hospital LOS ( p = 0.81) nor the percentage of encounters with PICU admission ( p = 0.47).

CONCLUSIONS

Use of adjunctive therapies for status asthmaticus varies widely among large children's hospitals and was not associated with hospital LOS or the percentage of encounters with PICU admission. Wide variance presents an opportunity for standardizing care with evidence-based guidelines to optimize outcomes and decrease adverse treatment effects and hospital costs.

Strategies for sustaining high-quality pediatric asthma care in community hospitals

OBJECTIVE

To identify strategies associated with sustained guideline adherence and high-quality pediatric asthma care in community hospitals.

DATA SOURCES

Primary qualitative data from clinicians in hospitals across the United States (collected December 2019-February 2021).

STUDY DESIGN

Pathways for Improving Pediatric Asthma Care (PIPA) was a national quality improvement (QI) intervention. In a prior quantitative study, data from 23 community hospitals in PIPA were analyzed to identify sites with the highest and lowest performance in sustaining improvements for 2 years. In this qualitative study, we conducted semi-structured interviews with multidisciplinary clinicians from these hospitals to identify strategies associated with sustainability.

DATA COLLECTION/EXTRACTION METHODS

We purposefully sampled and interviewed participants involved in clinical care of children hospitalized with asthma at the identified hospitals (those with the highest/lowest sustainability performance). We transcribed and analyzed interview data using constant comparative methods.

PRINCIPAL FINDINGS

Clinicians (n = 19) from five higher- and three lower-performing hospitals participated. In higher-performing hospitals, dedicated local champions more consistently provided reminders of evidence-based practices and delivered ongoing education. They also modified/developed electronic health record (EHR) tools (e.g., order sets with decision support). Higher-performing hospitals had a collaborative culture receptive to practice change and set firm expectations that evidence-based practices would be followed without exception. In lower-performing hospitals, participants described unique barriers, including delays in modifying the EHR and lack of automation of EHR tools (requiring clinicians to remember new EHR tasks without automated prompts). Barriers to sustainability for all hospitals included challenges with quality monitoring, decreasing focus of local champions over time, and ongoing difficulties developing consensus around evidence-based practices.

CONCLUSIONS

To better ensure sustained high-quality care for children with asthma and greater returns on QI investments, QI leaders should prioritize: designating long-term local champions to continue reminders and educational efforts and developing electronic order sets to provide ongoing decision support.

Utilization and effects of mobile electronic clinical decision support on pediatric asthma care quality in the emergency department and inpatient setting

OBJECTIVE

To determine utilization and impacts of a mobile electronic clinical decision support (mECDS) on pediatric asthma care quality in emergency department and inpatient settings.

METHODS

We conducted an observational study of a mECDS tool that was deployed as part of a multi-dimensional, national quality improvement (QI) project focused on pediatric asthma. We quantified mECDS utilization using cumulative screen views over the study period in the city in which each participating site was located. We determined associations between mECDS utilization and pediatric asthma quality metrics using mixed-effect logistic regression models (adjusted for time, site characteristics, site-level QI project engagement, and patient characteristics).

RESULTS

The tool was offered to clinicians at 75 sites and used on 286 devices; cumulative screen views were 4191. Children's hospitals and sites with greater QI project engagement had higher cumulative mECDS utilization. Cumulative mECDS utilization was associated with significantly reduced odds of hospital admission (OR: 0.95, 95% CI: 0.92-0.98) and higher odds of caregiver referral to smoking cessation resources (OR: 1.08, 95% CI: 1.01-1.16).

DISCUSSION

We linked mECDS utilization to clinical outcomes using a national sample and controlling for important confounders (secular trends, patient case mix, and concomitant QI efforts). We found mECDS utilization was associated with improvements in multiple measures of pediatric asthma care quality.

CONCLUSION

mECDS has the potential to overcome barriers to dissemination and improve care on a broad scale. Important areas of future work include improving mECDS uptake/utilization, linking clinicians' mECDS usage to clinical practice, and studying mECDS's impacts on other common pediatric conditions.

Sustainability of paediatric asthma care quality in community hospitals after ending a national quality improvement collaborative

BACKGROUND

Community hospitals, which care for most hospitalised children in the USA, may be vulnerable to declines in paediatric care quality when quality improvement (QI) initiatives end. We aimed to evaluate changes in care quality in community hospitals after the end of the Pathways for Improving Paediatric Asthma Care (PIPA) national QI collaborative.

METHODS

We conducted a longitudinal cohort study during and after PIPA. PIPA included 45 community hospitals, of which 34 completed the 12-month collaborative and were invited for extended sustainability monitoring (total of 21-24 months from collaborative start). PIPA provided paediatric asthma pathways, educational materials/seminars, QI mentorship, monthly data reports, a mobile application and peer-to-peer learning opportunities. Access to pathways, educational materials and the mobile application remained during sustainability monitoring. Charts were reviewed for children aged 2-17 years old hospitalised with a primary diagnosis of asthma (maximum 20 monthly per hospital). Outcomes included measures of guideline adherence (early bronchodilator administration via metered-dose inhaler (MDI), secondhand smoke screening and referral to smoking cessation resources) and length of stay (LOS). We evaluated outcomes using multilevel regression models adjusted for patient mix, using an interrupted time-series approach.

RESULTS

We analysed 2159 hospitalisations from 23 hospitals (68% of eligible). Participating hospitals were structurally similar to those that dropped out but had more improvement in guideline adherence during the collaborative (29% vs 15%, p=0.02). The end of the collaborative was associated with a significant initial decrease in early MDI administration (81%-68%) (adjusted OR (aOR) 0.26 (95% CI 0.15 to 0.42)) and decreased rate of referral to smoking cessation resources (2.2% per month increase to 0.3% per month decrease) (aOR 0.86 (95% CI 0.75 to 0.98)) but no significant changes in LOS or secondhand smoke screening.

CONCLUSIONS

The end of a paediatric asthma QI collaborative was associated with concerning declines in guideline adherence in community hospitals.