ArticleApplied clinical informatics2016
Clinical Decision Support Tool for Parental Tobacco Treatment in Hospitalized Children.
Article in Applied clinical informatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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.
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Who cites it
20 citing papers in PubMed, 28 citations in OpenAlex.
- Parent eReferral to Tobacco Quitline: A Pragmatic Randomized Trial in Pediatric Primary Care.American journal of preventive medicine · 2019Trial
- An Electronic Health Record-Based Tobacco Treatment System for Parents in Pediatric Primary Care.Pediatrics · 2026Article
- A systematic review of clinicians' acceptance and use of clinical decision support systems over time.NPJ digital medicine · 2025Article
- A Clinical Decision Support System for Motivational Messaging and Tobacco Cessation Treatment for Parents: Pilot Evaluation of Use and Acceptance.Applied clinical informatics · 2023Article
- Improving Tobacco Cessation Rates Using Inline Clinical Decision Support.Applied clinical informatics · 2022Article
- Types of Tobacco Products Used by Caregivers of Newborns in the Primary Care Setting.Clinical pediatrics · 2022Article
- Clinical decision support for tobacco screening and counseling parents of pediatric patients: A qualitative analysis of pediatric emergency department and urgent care professionals.Drug and alcohol dependence reports · 2022Article
- Electronic Health Record-Embedded, Behavioral Science-Informed System for Smoking Cessation for the Parents of Pediatric Patients.Applied clinical informatics · 2022Article
- Hard to Reach or Just Not Enough? A Narrative Review of Inpatient Tobacco Cessation Programs in Pediatrics.International journal of environmental research and public health · 2021Review
- Integrating Option Grid Patient Decision Aids in the Epic Electronic Health Record: Case Study at 5 Health Systems.Journal of medical Internet research · 2021Article
- High Cotinine and Healthcare Utilization Disparities Among Low-Income Children.American journal of preventive medicine · 2021Article
- Asking the Right Questions About Secondhand Smoke.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2021Article
- Utilization of a Clinical Decision Support Tool to Reduce Child Tobacco Smoke Exposure in the Urgent Care Setting.Pediatric emergency care · 2020Article
- Health System Implementation of a Tobacco Quitline eReferral.Applied clinical informatics · 2019Article
- Interruptive Versus Noninterruptive Clinical Decision Support: Usability Study.JMIR human factors · 2019Article
- Home Smoke Exposure and Health-Related Quality of Life in Children with Acute Respiratory Illness.Journal of hospital medicine · 2019Article
- Tobacco Use Assessment and Treatment in Cancer Patients: A Scoping Review of Oncology Care Clinician Adherence to Clinical Practice Guidelines in the U.S.The oncologist · 2019Article
- Primary care provider adherence to an alert for intensification of diabetes blood pressure medications before and after the addition of a "chart closure" hard stop.Journal of the American Medical Informatics Association : JAMIA · 2018Article
- An Electronic Health Record-Based Strategy to Address Child Tobacco Smoke Exposure.American journal of preventive medicine · 2018Article
- Secondhand Smoke Exposure and Pediatric Healthcare Visits and Hospitalizations.American journal of preventive medicine · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo 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).
methodsMixed 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.
resultsFrom 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).
conclusionsA 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.
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What OpenQuestion holds
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.