Development and Testing of a Computerized Decision Support System to Facilitate Brief Tobacco Cessation Treatment in the Pediatric Emergency Department: Proposal and Protocol
Name:
fc-xsltGalley-4453-82236-13-PB.pdf
Size:
484.6Kb
Format:
PDF
Description:
FInal Published Version
Author
Mahabee-Gittens, E. Melinda
Dexheimer, Judith W

Khoury, Jane C

Miller, Julie A

Gordon, Judith S

Affiliation
Univ Arizona, Dept Family & Community MedIssue Date
2016-04-20Keywords
smokingtobacco smoke
parent
secondhand smoke
medical informatics
clinical decision support
smoking cessation
Metadata
Show full item recordPublisher
JMIR PUBLICATIONS, INCCitation
Development and Testing of a Computerized Decision Support System to Facilitate Brief Tobacco Cessation Treatment in the Pediatric Emergency Department: Proposal and Protocol 2016, 5 (2):e64 JMIR Research ProtocolsJournal
JMIR Research ProtocolsRights
Copyright © E. Melinda Mahabee-Gittens, Judith W. Dexheimer, Jane C. Khoury, Julie A Miller, Judith S. Gordon. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 20.04.2016. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/).Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Background: Tobacco smoke exposure (TSE) is unequivocally harmful to children's health, yet up to 48% of children who visit the pediatric emergency department (PED) and urgent care setting are exposed to tobacco smoke. The incorporation of clinical decision support systems (CDSS) into the electronic health records (EHR) of PED patients may improve the rates of screening and brief TSE intervention of caregivers and result in decreased TSE in children. Objective: We propose a study that will be the first to develop and evaluate the integration of a CDSS for Registered Nurses (RNs) into the EHR of pediatric patients to facilitate the identification of caregivers who smoke and the delivery of TSE interventions to caregivers in the urgent care setting. Methods: We will conduct a two-phase project to develop, refine, and integrate an evidence-based CDSS into the pediatric urgent care setting. RNs will provide input on program content, function, and design. In Phase I, we will develop a CDSS with prompts to: (1) ASK about child TSE and caregiver smoking, (2) use a software program, Research Electronic Data Capture (REDCap), to ADVISE caregivers to reduce their child's TSE via total smoking home and car bans and quitting smoking, and (3) ASSESS their interest in quitting and ASSIST caregivers to quit by directly connecting them to their choice of free cessation resources (eg, Quitline, SmokefreeTXT, or SmokefreeGOV) during the urgent care visit. We will create reports to provide feedback to RNs on their TSE counseling behaviors. In Phase II, we will conduct a 3-month feasibility trial to test the results of implementing our CDSS on changes in RNs' TSE-related behaviors, and child and caregiver outcomes. Results: This trial is currently underway with funding support from the National Institutes of Health/National Cancer Institute. We have completed Phase I. The CDSS has been developed with input from our advisory panel and RNs, and pilot tested. We are nearing completion of Phase II, in which we are conducting the feasibility trial, analyzing data, and disseminating results. Conclusions: This project will develop, iteratively refine, integrate, and pilot test the use of an innovative CDSS to prompt RNs to provide TSE reduction and smoking cessation counseling to caregivers who smoke. If successful, this approach will create a sustainable and disseminable model for prompting pediatric practitioners to apply tobacco-related guideline recommendations. This systems-based approach has the potential to reach at least 12 million smokers a year and significantly reduce TSE-related pediatric illnesses and related costs.ISSN
1929-0748PubMed ID
27098215Version
Final published versionAdditional Links
http://www.researchprotocols.org/2016/2/e64/ae974a485f413a2113503eed53cd6c53
10.2196/resprot.4453
Scopus Count
Collections
Except where otherwise noted, this item's license is described as Copyright © E. Melinda Mahabee-Gittens, Judith W. Dexheimer, Jane C. Khoury, Julie A Miller, Judith S. Gordon. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 20.04.2016. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/).
Related articles
- Clinical decision support for tobacco screening and counseling parents of pediatric patients: A qualitative analysis of pediatric emergency department and urgent care professionals.
- Authors: Merianos AL, Fiser K, Mahabee-Gittens EM, Lyons MS, Stone L, Gordon JS
- Issue date: 2022 Mar
- Development of a Tobacco Cessation Clinical Decision Support System for Pediatric Emergency Nurses.
- Authors: Mahabee-Gittens EM, Dexheimer JW, Gordon JS
- Issue date: 2016 Dec
- Babies Living Safe & Smokefree: randomized controlled trial of a multilevel multimodal behavioral intervention to reduce low-income children's tobacco smoke exposure.
- Authors: Collins BN, Lepore SJ
- Issue date: 2017 Mar 14
- Healthy families: study protocol for a randomized controlled trial of a screening, brief intervention, and referral to treatment intervention for caregivers to reduce secondhand smoke exposure among pediatric emergency patients.
- Authors: Mahabee-Gittens EM, Ammerman RT, Khoury JC, Stone L, Meyers GT, Witry JK, Merianos AL, Mancuso TF, Stackpole KMW, Bennett BL, Akers L, Gordon JS
- Issue date: 2017 May 2
- Utilization of a Clinical Decision Support Tool to Reduce Child Tobacco Smoke Exposure in the Urgent Care Setting.
- Authors: Mahabee-Gittens EM, Merianos AL, Dexheimer JW, Meyers GT, Stone L, Tabangin M, Khoury JC, Gordon JS
- Issue date: 2020 Nov