Bronchiolitis Clinical Trial
Official title:
Developing and Evaluating User-Designed Data Displays
Hospitalized children with respiratory disease are commonly monitored with continuous pulse oximetry and heart rate-respiratory rate monitors. These data streams generate >4,000 unique data points each patient-day, yet only a tiny fraction are used to inform care decisions. Failure to adequately summarize this large amount of data for clinicians may result in suboptimal care because clinicians may miss important data signals and may under- or over-react to individual data points. In children hospitalized with respiratory disease and in need of supplemental oxygen, there are a number of care decisions, currently made without adequate data, which could be informed by intelligent data visualization tools. This study has employed user-centered design to develop data displays that inform nurses' and respiratory therapists' decision-making in supplemental oxygen delivery. The investigators are now evaluating the effectiveness of these displays in the clinical care of patients with two common respiratory conditions—infants with bronchiolitis admitted to the general pediatrics ward and preterm infants requiring supplemental oxygen who are cared for in the neonatal intensive care unit. By reducing patient's time on supplemental oxygen and improving time with optimal oxygen saturations, this work has the potential to lead to a breakthrough innovation that improves both outcomes and value.
The goal of the study is to evaluate the effectiveness of using user-centered designed data
displays in the clinical care of patients admitted to Cincinnati Children's Hospital with
respiratory illnesses in two clinical settings.
In the general pediatric floor the investigators will evaluate the effectiveness of
user-centered designed data displays in the safe and efficient weaning of oxygen in general
pediatric patients hospitalized with bronchiolitis.
In the NICU the investigators will evaluate the effectiveness of user-centered designed data
displays in the accurate targeting of oxygen saturation levels among premature infants.
The investigators will address these aims by conducting parallel studies on the Cincinnati
Children's Hospital hospital medicine (HM) unit and in the NICU comparing the data
visualization application to standard of care. The investigators will examine intervention
effectiveness using an adaptation of a quasi-experimental, equivalent time series design
with randomization of intervention and control periods. The data visualization will be
applied at the unit level and directly affect all the nurses and patients cared for in those
units.
;
Allocation: Randomized, Endpoint Classification: Efficacy Study, Intervention Model: Crossover Assignment, Masking: Open Label, Primary Purpose: Health Services Research
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