First name
Eric
Middle name
D
Last name
Shelov

Title

Clinical Decision Support Tool for Parental Tobacco Treatment in Hospitalized Children.

Year of Publication

2016

Number of Pages

399-411

Date Published

2016

ISSN Number

1869-0327

Abstract

<p><strong>OBJECTIVES: </strong>To create and evaluate the feasibility, acceptability, and usability of a clinical decision support (CDS) tool within the electronic health record (EHR) to help pediatricians provide smoking cessation counseling and treatment to parents of hospitalized children exposed to secondhand smoke (SHS).</p>

<p><strong>METHODS: </strong>Mixed method study of first-year pediatric residents on one inpatient unit. Residents received training in smoking cessation counseling, nicotine replacement therapy (NRT) prescribing, and use of a CDS tool to aid in this process. The tool, which alerted when a patient was identified as exposed to SHS based on the history taken on admission or during a prior encounter, had the following capabilities: adding SHS exposure to the patient's problem list; referral to Free Quitline through discharge instructions; and linking to a printable NRT prescription form. We measured feasibility by EHR utilization data. We measured acceptability and usability of the tool by administering questionnaires to residents.</p>

<p><strong>RESULTS: </strong>From June-August 2015, the alert triggered for 106 patients, and the tool was used for 52 (49%) patients. 41 (39%) patients had SHS exposure added to the problem list, 34 (32%) parents were referred to the Quitline through discharge instructions, and 15 (14%) parents were prescribed NRT. 10 out of 15 (67%) eligible pediatricians used the tool. All clinicians surveyed (9 out of 10) found the tool acceptable and rated its usability good to excellent (average System Usability Scale score was 85 out of 100, 95% CI, 76-93).</p>

<p><strong>CONCLUSIONS: </strong>A non-interruptive CDS tool to help residents provide smoking cessation counseling in the hospital was feasible, acceptable, and usable. Future work will investigate impacts on patient outcomes.</p>

Alternate Title

Appl Clin Inform

PMID

27437049

Title

Safety of Automatic End Dates for Antimicrobial Orders to Facilitate Stewardship.

Year of Publication

2016

Number of Pages

1-5

Date Published

2016 May 13

ISSN Number

1559-6834

Abstract

<p>Following implementation of automatic end dates for antimicrobial orders to facilitate antimicrobial stewardship at a large, academic children's hospital, no differences were observed in patient mortality, length of stay, or readmission rates, even among patients with documented bacteremia. Infect Control Hosp Epidemiol 2016;1-5.</p>

DOI

10.1017/ice.2016.103

Alternate Title

Infect Control Hosp Epidemiol

PMID

27174362

Title

Optimization of drug-drug interaction alert rules in a pediatric hospital's electronic health record system using a visual analytics dashboard.

Year of Publication

2015

Number of Pages

361-9

Date Published

03/2015

ISSN Number

1527-974X

Abstract

<p><strong>OBJECTIVE: </strong>To develop and evaluate an electronic dashboard of hospital-wide electronic health record medication alerts for an alert fatigue reduction quality improvement project.</p>

<p><strong>METHODS: </strong>We used visual analytics software to develop the dashboard. We collaborated with the hospital-wide Clinical Decision Support committee to perform three interventions successively deactivating clinically irrelevant drug-drug interaction (DDI) alert rules. We analyzed the impact of the interventions on care providers' and pharmacists' alert and override rates using an interrupted time series framework with piecewise regression.</p>

<p><strong>RESULTS: </strong>We evaluated 2 391 880 medication alerts between January 31, 2011 and January 26, 2014. For pharmacists, the median alert rate prior to the first DDI deactivation was 58.74 alerts/100 orders (IQR 54.98-60.48) and 25.11 alerts/100 orders (IQR 23.45-26.57) following the three interventions (p&lt;0.001). For providers, baseline median alert rate prior to the first round of DDI deactivation was 19.73 alerts/100 orders (IQR 18.66-20.24) and 15.11 alerts/100 orders (IQR 14.44-15.49) following the three interventions (p&lt;0.001). In a subgroup analysis, we observed a decrease in pharmacists' override rates for DDI alerts that were not modified in the system from a median of 93.06 overrides/100 alerts (IQR 91.96-94.33) to 85.68 overrides/100 alerts (IQR 84.29-87.15, p&lt;0.001). The medication serious safety event rate decreased during the study period, and there were no serious safety events reported in association with the deactivated alert rules.</p>

<p><strong>CONCLUSIONS: </strong>An alert dashboard facilitated safe rapid-cycle reductions in alert burden that were temporally associated with lower pharmacist override rates in a subgroup of DDIs not directly affected by the interventions; meanwhile, the pharmacists' frequency of selecting the 'cancel' option increased. We hypothesize that reducing the alert burden enabled pharmacists to devote more attention to clinically relevant alerts.</p>

DOI

10.1136/amiajnl-2013-002538

Alternate Title

J Am Med Inform Assoc

PMID

25318641

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