Evidence map›Paper›PMID 22011394›Full record

Trial reportJournal of medical Internet research2011

Development of an interactive, Web-delivered system to increase provider-patient engagement in smoking cessation.

Rajani S Sadasivam, Kathryn Delaughter, Katie Crenshaw, Heather J Sobko, Jessica H Williams, Heather L Coley, Midge N Ray, Daniel E Ford, Jeroan J Allison, Thomas K Houston

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00797628 (QUIT-PRIMO), which is not on this map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–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.

NCT00797628 nacompletednot on this map

QUIT-PRIMO: Web-Delivered Clinical Microsystem Intervention for Tobacco Control

TypeinterventionalSponsorUniversity of Massachusetts, WorcesterRan2010 to 2013Enrolled174ConditionsSmoking CessationArmsDecide2Quit, Smoking Coach
3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Strategies to improve smoking cessation rates in primary care.The Cochrane database of systematic reviews · 2021
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  8. A context-adaptive smoking cessation system using videos.Smart health (Amsterdam, Netherlands) · 2021
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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

10 authors.

Rajani S SadasivamDivision of Health Informatics and Implementation Science, Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA 01545, USA. rajani.sadasivam@umassmed.edu
Kathryn Delaughter
Katie Crenshaw
Heather J Sobko
Jessica H Williams
Heather L Coley
Midge N Ray
Daniel E Ford
Jeroan J Allison
Thomas K Houston

Funding

UNIVERSITY OF MASSACHUSETTS CENTER FOR CLINICAL AND TRANSLATIONAL SCIENCEUL1RR031982 · NCRR · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI SULLIVAN, JOHN LEWIS · 2010 to 2011
$6.8M
QUIT-PRIMO:Web-delivered Clinical Microsystem Intervention for Tobacco ControlR01CA129091 · NCI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI HOUSTON, THOMAS K · 2008 to 2012
$2.9M
NCI NIH HHS 5R01CA129091-04NCI NIH HHS R01 CA129091NCRR NIH HHS UL1 RR031982
6 · The paper itself

Abstract

backgroundPatient self-management interventions for smoking cessation are effective but underused. Health care providers do not routinely refer smokers to these interventions.

objectiveThe objective of our study was to uncover barriers and facilitators to the use of an e-referral system that will be evaluated in a community-based randomized trial. The e-referral system will allow providers to refer smokers to an online smoking intervention during routine clinical care.

methodsWe devised a four-step development and pilot testing process: (1) system conceptualization using Delphi to identify key functionalities that would overcome barriers in provider referrals for smoking cessation, (2) Web system programming using agile software development and best programming practices with usability refinement using think-aloud testing, (3) implementation planning using the nominal group technique for the effective integration of the system into the workflow of practices, and (4) pilot testing to identify practice recruitment and system-use barriers in real-world settings.

resultsOur Delphi process (step 1) conceptualized three key e-referral functions: (1) Refer Your Smokers, allowing providers to e-refer patients at the point of care by entering their emails directly into the system, (2) practice reports, providing feedback regarding referrals and impact of smoking-cessation counseling, and (3) secure messaging, facilitating provider-patient communication. Usability testing (step 2) suggested the system was easy to use, but implementation planning (step 3) suggested several important approaches to encourage use (eg, proactive email cues to encourage practices to participate). Pilot testing (step 4) in 5 practices had limited success, with only 2 patients referred; we uncovered important recruitment and system-use barriers (eg, lack of study champion, training, and motivation, registration difficulties, and forgetting to refer).

conclusionsImplementing a system to be used in a clinical setting is complex, as several issues can affect system use. In our ongoing large randomized trial, preliminary analysis with the first 50 practices using the system for 3 months demonstrated that our rigorous preimplementation evaluation helped us successfully identify and overcome these barriers before the main trial. TRIAL: Clinicaltrials.gov NCT00797628; http://clinicaltrials.gov/ct2/show/NCT00797628 (Archived by WebCite at http://www.webcitation.org/61feCfjCy).

Indexed as

InternetProfessional-Patient RelationsReferral and ConsultationDelphi TechniqueHealth PersonnelPilot ProjectsPoint-of-Care SystemsSmoking Cessation

Identifiers

PMID22011394
PMCPMC3222193

What OpenQuestion holds

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LicenceCC BY
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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.