Evidence map›Paper›PMID 29703714›Full record

ArticleJMIR research protocols2018

Tailored Versus Generic Knowledge Brokering to Integrate Mood Management Into Smoking Cessation Interventions in Primary Care Settings: Protocol for a Cluster Randomized Controlled Trial.

Nadia Minian, Aliya Noormohamed, Dolly Baliunas, Laurie Zawertailo, Carol Mulder, Arun Ravindran, Claire de Oliveira, Peter Selby

Registry-linked trialAbstract read
In one paragraph

Article in JMIR research protocols, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03130998 (A Cluster Randomized Trial of Tailored vs Generic Knowledge Brokering to Integrate Mood Management Into Smoking Cessation Interventions in Primary Care Settings in Ontario, Canada), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

NCT03130998 nacompletednot on this map

A Cluster Randomized Trial of Tailored vs Generic Knowledge Brokering to Integrate Mood Management Into Smoking Cessation Interventions in Primary Care Settings in Ontario, Canada

TypeinterventionalSponsorCentre for Addiction and Mental HealthRan2018 to 2020Enrolled2,765ConditionsDepressionArmsRemote Knowledge Broker (rKB), Emails
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. 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

8 authors.

Nadia MinianCentre for Addiction and Mental Health, Toronto, ON, Canada.ORCID 0000-0001-8179-3628
Aliya NoormohamedCentre for Addiction and Mental Health, Toronto, ON, Canada.ORCID 0000-0003-1118-7790
Dolly BaliunasCentre for Addiction and Mental Health, Toronto, ON, Canada.ORCID 0000-0001-5685-0715
Laurie ZawertailoCentre for Addiction and Mental Health, Toronto, ON, Canada.ORCID 0000-0002-4547-1565
Carol MulderThe Association of Family Health Teams of Ontario, Toronto, ON, Canada.ORCID 0000-0002-0330-5438
Arun RavindranCentre for Addiction and Mental Health, Toronto, ON, Canada.ORCID 0000-0002-1655-2753
Claire de OliveiraCentre for Addiction and Mental Health, Toronto, ON, Canada.ORCID 0000-0003-3961-6008
Peter SelbyCentre for Addiction and Mental Health, Toronto, ON, Canada.ORCID 0000-0001-5401-2996

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBoth tobacco smoking and depression are major public health problems associated with high morbidity and mortality. In addition, individuals with depression are almost twice as likely to smoke and less likely to achieve smoking cessation. In the Smoking Treatment for Ontario Patients program, an established smoking cessation program in Ontario, Canada, 38% of smokers in primary care settings have current or past depression with 6-month quit rates that are significantly lower than those without depression (33% versus 40%, P<.001). Integrating self-help mood management (eg, relaxation exercises and mood monitoring) with smoking cessation treatment increases long-term quit rates by 12%-20%. However, integration in real-world settings has not been reported. It is unclear which knowledge translation strategy would be more effective for motivating clinicians to provide resources on mood management to eligible patients.

objectiveThe objectives of this study are to investigate the following comparisons among depressed smokers enrolled in a smoking cessation program: 1) the effectiveness of generalized, exclusively email-based prompts versus a personalized knowledge broker in implementing mood management interventions; 2) the effectiveness of the two knowledge translation strategies on smoking quit rates; and 3) the incremental costs of the two knowledge translation strategies on the implementation of mood management interventions.

methodsThe study design is a cluster randomized controlled trial of Family Health Teams participating in the Smoking Treatment for Ontario Patients program. Family Health Teams will be randomly allocated 1:1 to receive either generalized messages (related to depression and smoking) exclusively via email (group A) or be assigned a knowledge broker who provides personalized support through phone- and email-based check-ins (group B). The primary outcome, measured at the site level, is the proportion of eligible baseline visits that result in the provision of the mood management intervention to eligible patients.

resultsRecruitment for the primary outcome of this study will be completed in 2018/2019. Results will be reported in 2019/2020.

conclusionsThis study will address the knowledge gap in the implementation strategies (ie, email-based prompts versus a knowledge broker) of mood management interventions for smokers with depression in primary care settings.

trial registrationClinicalTrials.gov NCT03130998; https://clinicaltrials.gov/ct2/show/NCT03130998 (Archived on WebCite at www.webcitation.org/6ylyS6RTe)

Indexed as

brief interventionclinical decision support systemdepressionhealth care practitionerintegrated care pathwaysknowledge brokerprimary health carescreeningtobacco

Identifiers

PMID29703714
PMCPMC5948411

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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.