First name
Xuemei
Last name
Zhang

Title

Pediatric In-Hospital CPR Quality at Night and on Weekends.

Year of Publication

2019

Date Published

2019 Nov 14

ISSN Number

1873-1570

Abstract

<p><strong>INTRODUCTION: </strong>Survival after in-hospital cardiac arrest (IHCA) has been reported to be worse for arrests at night or during weekends.This study aimed to determine whether measured cardiopulmonary resuscitation (CPR) quality metrics might explain this difference in outcomes.</p>

<p><strong>METHODS: </strong>IHCA data was collected by the Pediatric Resuscitation Quality (pediRES-Q) collaborative for patients &lt;18 years. Metrics of CPR quality [chest compression rate, depth and fraction] were measured using monitordefibrillator pads, and events were compared by time of day and day of week.</p>

<p><strong>RESULTS: </strong>We evaluated 6915 sixty-second epochs of chest compression (CC) data from 239 subjects between October 2015 and March 2019, across 18 hospitals. There was no significant difference in CPR quality metrics during day (07:00-22:59) versus night (23:00-06:59), or weekdays (Monday 07:00 to Friday 22:59) versus weekends (Friday 23:00 to Monday 06:59).There was also no difference in rate of return of circulation. However, survival to hospital discharge was higher for arrests that occurred during the day (39.1%) vs. nights (22.4%, p = 0.015), as well as on weekdays (39.9%) vs. weekends (19.1%, p = 0.003).</p>

<p><strong>CONCLUSIONS: </strong>For pediatric IHCA where CC metrics were obtained, there was no significant difference in CPR quality metrics or rate of return of circulation by time of day or day of week. There was higher survival to hospital discharge when arrests occurred during the day (vs. nights), or on weekdays (vs. weekends), and this difference was not related to disparities in CC quality.</p>

DOI

10.1016/j.resuscitation.2019.10.039

Alternate Title

Resuscitation

PMID

31734222

Title

Electronic health record-based decision support to improve asthma care: a cluster-randomized trial.

Year of Publication

2010

Number of Pages

e770-7

Date Published

2010 Apr

ISSN Number

1098-4275

Abstract

<p><strong>OBJECTIVE: </strong>Asthma continues to be 1 of the most common chronic diseases of childhood and affects approximately 6 million US children. Although National Asthma Education Prevention Program guidelines exist and are widely accepted, previous studies have demonstrated poor clinician adherence across a variety of populations. We sought to determine if clinical decision support (CDS) embedded in an electronic health record (EHR) would improve clinician adherence to national asthma guidelines in the primary care setting.</p>

<p><strong>METHODS: </strong>We conducted a prospective cluster-randomized trial in 12 primary care sites over a 1-year period. Practices were stratified for analysis according to whether the site was urban or suburban. Children aged 0 to 18 years with persistent asthma were identified by International Classification of Diseases, Ninth Revision codes for asthma. The 6 intervention-practice sites had CDS alerts imbedded in the EHR. Outcomes of interest were the proportion of children with at least 1 prescription for controller medication, an up-to-date asthma care plan, and the performance of office-based spirometry.</p>

<p><strong>RESULTS: </strong>Increases in the number of prescriptions for controller medications, over time, was 6% greater (P = .006) and 3% greater for spirometry (P = .04) in the intervention urban practices. Filing an up-to-date asthma care plan improved 14% (P = .03) and spirometry improved 6% (P = .003) in the suburban practices with the intervention.</p>

<p><strong>CONCLUSION: </strong>In our study, using a cluster-randomized trial design, CDS in the EHR, at the point of care, improved clinician compliance with National Asthma Education Prevention Program guidelines.</p>

DOI

10.1542/peds.2009-1385

Alternate Title

Pediatrics

PMID

20231191

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