Evidence map›Paper›PMID 30469101›Full record

Trial reportDrug and alcohol dependence2019

Electronic decision support for treatment of hospitalized smokers: A qualitative analysis of physicians' knowledge, attitudes, and practices.

Lauretta E Grau, June Weiss, Teresa K O'Leary, Deepa Camenga, Steven L Bernstein

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Drug and alcohol dependence, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 35% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Lauretta E GrauYale University School of Public Health, Department of Epidemiology of Microbial Diseases, New Haven, CT, 06520, USA; Yale School of Public Health, Yale University, 60 College St., New Haven, CT 06520, USA. Electronic address: lauretta.grau@yale.edu.
June WeissYale School of Medicine, Department of Emergency Medicine, New Haven, CT, 06519, USA.
Teresa K O'LearyYale School of Medicine, Department of Emergency Medicine, New Haven, CT, 06519, USA.
Deepa CamengaYale School of Medicine, Department of Emergency Medicine, New Haven, CT, 06519, USA.
Steven L BernsteinYale School of Medicine, Department of Emergency Medicine, New Haven, CT, 06519, USA; Yale University School of Public Health, Department of Health Policy and Management, New Haven, CT, 06520, USA.
Yale University · US

Funding

Implementation of HIT-Enhanced Tobacco Treatment for Hospitalized SmokersR18HL108788 · NHLBI · YALE UNIVERSITY · PI BERNSTEIN, STEVEN L · 2012 to 2015
$3.0M
NHLBI NIH HHS R18 HL108788
6 · The paper itself

Abstract

backgroundWe recently demonstrated the ability of a suite of tools embedded in an electronic medical record (EMR) to improve tobacco cessation treatment for adult smokers admitted to the hospital. A randomized controlled trial conducted by our group demonstrated the ability of an EMR-embedded tobacco use disorder treatment tool, the Electronic Support Tool and Orders for the Prevention of Smoking (E-STOPS), to increase the identification and treatment of smokers, but its uptake varied among 126 physicians randomized to the intervention arm. The purpose of this study was to identify facilitators and barriers to using E-STOPS.

methodsSemi-structured individual interviews from a purposive sample of 12 hospitalist attending physicians and nine internal medicine residents who were randomized to the E-STOPS intervention were analyzed thematically.

resultsThree themes shaped E-STOPS use: the inpatient environment, prescriber attitudes and beliefs, and information needs. Overall, participants were pleased with E-STOPS, but had specific suggestions for improvements regarding the timing of the intervention, suppression logic, and additional decision support and training. A few had concerns about the clinical appropriateness of beginning treatment for tobacco dependence during a hospitalization and the proper role of the inpatient team in that treatment.

conclusionsTobacco dependence treatment for hospitalized smokers and facilitated by the EMR is generally acceptable to hospitalists and resident physicians. Improvements in provider training and feedback as well as the timing and content of the electronic tools may increase their utilization by inpatient physicians.

Indexed as

Decision Support Systems, ClinicalHealth Knowledge, Attitudes, PracticePhysiciansSmokersSmoking CessationAdultElectronic Health RecordsEnvironmentFemaleHospitalistsHospitalizationHumansInternal MedicineInternship and ResidencyMaleSmoking PreventionElectronic medical recordQualitative researchsmoking/harm reductionTobacco cessationTobacco dependence

Identifiers

PMID30469101
PMCPMC7720717
OpenAlexW2898369971

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.