Evidence map›Paper›PMID 31463308›Full record

ArticlemHealth2019

Clinical evaluation of e-Quit worRx: a mobile app to enhance smoking cessation shared decision making in primary care.

Matthew R Tubb, Mary Beth Vonder Meulen, Harini Pallerla, Saundra Regan, Charles R Doarn

Abstract read
In one paragraph

Article in mHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Matthew R TubbFamily and Community Medicine, College of Medicine, University of Cincinnati, Cincinnati, OH, USA.
Mary Beth Vonder MeulenFamily and Community Medicine, College of Medicine, University of Cincinnati, Cincinnati, OH, USA.
Harini PallerlaFamily and Community Medicine, College of Medicine, University of Cincinnati, Cincinnati, OH, USA.
Saundra ReganFamily and Community Medicine, College of Medicine, University of Cincinnati, Cincinnati, OH, USA.
Charles R DoarnFamily and Community Medicine, College of Medicine, University of Cincinnati, Cincinnati, OH, USA.

Funding

A Mobile App to Enhance Smoking Cessation Shared Decision Making in Primary CareR21HS023994 · AHRQ · UNIVERSITY OF CINCINNATI · PI TUBB, MATTHEW ROBERT · 2015 to 2016
$298k
AHRQ HHS R21 HS023994
6 · The paper itself

Abstract

backgroundSmoking is the leading preventable cause of morbidity and mortality in the United States. Primary care providers (PCPs) have a unique opportunity to engage patients to quit smoking, but to be effective, clinicians must be able to personalize evidence-based interventions that are useful and appealing to patients in a time efficient manner. We pilot tested a novel iPad application (app), called e-Quit worRx™, designed to enhance patient-centered shared-decision making (SDM) about smoking cessation, with the primary goal of determining feasibility in primary care offices.

methodsA total of 73 patients from three offices within a local diverse primary care network were enrolled in a pragmatic single crossover-controlled trial. The decision aid app was incorporated into current smokers' waiting time for their PCP in the exam room, and their PCP reviewed their personal responses and selections to finalize treatment choices. Mixed methods were used in the evaluation and the primary outcomes were app feasibility in primary care and enhanced SDM.

resultsOur app was determined to be feasible for use in primary care for both patients and PCPs. It significantly increased time spent discussing smoking cessation with their PCP and the likelihood that a decision was made at the time of the visit. While not significant, mean differences were observed in other study measures including SDM, decisional conflict, quality of patient-provider communication, and stage of change progression at 12 weeks post-trial.

conclusionsWe created a usable and acceptable iPad app-based decision aid for use in primary care offices. The design process presented several challenges including integration into a clinical setting. Despite these challenges, we successfully ran a pragmatic pilot trial in three primary care offices using a technology novel to many of the users.

Indexed as

decision aidshared decision makingSmoking cessationtablet app

Identifiers

PMID31463308
PMCPMC6691085

What OpenQuestion holds

Textmetadata
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.