ArticlePediatric quality & safety
Enhancing Hospital Throughput: A Multidisciplinary Approach to Facilitating Discharges in a Pediatric Setting.
Article in Pediatric quality & safety. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Discharge readiness among parents of children in the pediatric intensive care unit: implication for nursing strategies.BMC pediatrics · 2025Article
- A Quality Improvement Project to Increase Discharges before Noon at a Pediatric Hospital.Pediatric quality & safetyArticle
- A Multidisciplinary Quality Improvement Initiative to Improve Hospital Throughput in a Pediatric Tertiary Care Center.Pediatric quality & safetyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Recent postpandemic respiratory viral surges have highlighted challenges in inpatient capacity at children's hospitals. Our hospital identified a key bottleneck affecting our ability to accommodate patients: afternoon discharge clustering. We sought to improve throughput efficiency by increasing the percentage of patients discharged outside peak hours. Methods: We established an interdisciplinary committee to study our discharge process. We obtained baseline data from January 2021 to April 2022 and determined our peak discharge hours, 11 am-5 pm, when 72% of discharges occurred. Key drivers were identified using the model for improvement, and interventions were trialed using plan-do-study-act cycles. Percent of patients discharged outside peak hours was determined using statistical process control charts (p-charts) as our primary measure. We aimed to improve this percentage by 20% from baseline. Secondary measures were the percentage of discharge orders placed before 9 am and the percentage of patients discharged before 11 am. Balancing measures included average hospital length of stay, discharge turnover time, and patient satisfaction surveys. Results: The mean percentage of nonpeak discharges between 5 pm and 11 am increased from a baseline of 28% to 36%. Discharge orders placed before 9 am increased from 4% to 16%. Patients discharged before 11 am increased from 7% to 19%. There were no significant changes in length of stay, discharge turnover time, or patient satisfaction with the discharge process. Key interventions included stakeholder involvement and incentives to support faculty and trainee workflow adjustments, including rounding practices. Conclusions: Our team increased the percentage of patients discharged during nonpeak hours and promoted discharge when medically ready.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.