Evidence map›Paper›PMID 19193233›Full record

Trial reportBMC public health2009

Effectiveness of a stepped primary care smoking cessation intervention (ISTAPS study): design of a cluster randomised trial.

Carmen Cabezas, Carlos Martin, Silvia Granollers, Concepció Morera, Josep Lluis Ballve, Elvira Zarza, Jordi Blade, Margarida Borras, Antoni Serra, Diana Puente and 1 more

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC public health, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 4 pooled it
1.5field-weighted citation impact, top 19% 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

11 citing papers in PubMed, 4 syntheses or guidelines pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Strategies to improve smoking cessation rates in primary care.The Cochrane database of systematic reviews · 2021
    Pooled it
  3. Nursing interventions for smoking cessation.The Cochrane database of systematic reviews · 2017
    Pooled it
  4. Physician advice for smoking cessation.The Cochrane database of systematic reviews · 2013
    Pooled it
  5. Trial
  6. Trial
  7. Trial
  8. Trial
  9. Application of stepped care model in cancer patients: a scoping review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
    Article
  10. Article
  11. 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

11 authors at 6 institutions in 1 country.

Carmen CabezasDepartament de Salut, Generalitat de Catalunya, Institut d'Investigació en Assistència Primària Jordi Gol (IDIAP Jordi Gol), Barcelona, Spain. carmen.cabezas@gencat.cat
Carlos Martin
Silvia Granollers
Concepció Morera
Josep Lluis Ballve
Elvira Zarza
Jordi Blade
Margarida Borras
Antoni Serra
Diana Puente
Grupo ISTAPS [Intervención Sistematica sobre Tabaquismo en Atención Primaria de Salud]
Clínica Girona · ESInstitut Universitari d'Investigació en Atenció Primària Jordi Gol · ESUniversitat Autònoma de Barcelona · ESAjuntament de L’Hospitalet · ESGeneralitat de Catalunya · ESHospital Clínic de Barcelona · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is a considerable body of evidence on the effectiveness of specific interventions in individuals who wish to quit smoking. However, there are no large-scale studies testing the whole range of interventions currently recommended for helping people to give up smoking; specifically those interventions that include motivational interviews for individuals who are not interested in quitting smoking in the immediate to short term. Furthermore, many of the published studies were undertaken in specialized units or by a small group of motivated primary care centres. The objective of the study is to evaluate the effectiveness of a stepped smoking cessation intervention based on a trans-theoretical model of change, applied to an extensive group of Primary Care Centres (PCC). METHODS/

designCluster randomised clinical trial. Unit of randomization: basic unit of care consisting of a family physician and a nurse, both of whom care for the same population (aprox. 2000 people). Intention to treat analysis. STUDY POPULATION: Smokers (n = 3024) aged 14 to 75 years consulting for any reason to PCC and who provided written informed consent to participate in the trial.

intervention6-month implementation of recommendations of a Clinical Practice Guideline which includes brief motivational interviews for smokers at the precontemplation - contemplation stage, brief intervention for smokers in preparation-action who do not want help, intensive intervention with pharmacotherapy for smokers in preparation-action who want help, and reinforcing intervention in the maintenance stage. CONTROL GROUP: usual care. OUTCOME MEASURES: Self-reported abstinence confirmed by exhaled air carbon monoxide concentration of <or= 10 parts per million. Points of assessment: end of intervention period and 1 and 2 years post-intervention; continuous abstinence rate for 1 year; change in smoking cessation stage; health status measured by SF-36. DISCUSSION: The application of a stepped intervention based on the stages of a change model is possible under real and diverse clinical practice conditions, and improves the smoking cessation success rate in smokers, besides of their intention or not to give up smoking at baseline.

Indexed as

AdolescentAdultAgedAlgorithmsFemaleHumansMaleMiddle AgedOutcome Assessment, Health CareQuality of LifeResearch DesignSmoking CessationYoung Adult

Identifiers

PMID19193233
PMCPMC2666720
OpenAlexW1977466517

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.