Evidence map›Paper›PMID 40144709›Full record

ReviewGHM open2022

Effects of self-management interventions with behavior-change support on long-term adherence in patients with chronic respiratory diseases: A systematic review.

Mihoko Fujii, Jiro Nakano, Yoshiharu Tanaka, Akiko Tonosaki

Abstract readReview
In one paragraph

Review in GHM open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

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

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

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

  1. What Are the Effective Components of Group-Based Treatment Programs For Smoking Cessation? A Systematic Review and Meta-Analysis.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023
    Pooled it
  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

4 authors.

Mihoko FujiiDoctoral Program in Nursing, National College of Nursing, Japan.
Jiro NakanoFaculty of Rehabilitation, Kansai Medical University, Osaka, Japan.
Yoshiharu TanakaNational College of Nursing, Japan.
Akiko TonosakiNational College of Nursing, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this systematic review is to determine the effects of self-management interventions with behavior-change support on medication adherence and smoking cessation in patients with chronic respiratory disease. We also describe the theories of health behavior change and behavior change techniques (BCTs) used to design these interventions and their mode of delivery. The PubMed/MEDLINE, Cochrane Library, CINAHL, and Pedro databases were systematically searched for relevant articles published up to November 2021. Randomized controlled trials (RCTs) that evaluated the effect of self-management interventions with behavior change support on medication adherence, correct inhaler use, and smoking cessation were included. Effect sizes (odds ratios) with 95% confidence intervals were calculated and pooled for random-effect meta-analysis. Of 5,223 articles identified, 15 were RCTs that met the inclusion criteria for the meta-analysis. Five of these RCTs were based on behavior change theory, including social cognitive theory and a transtheoretical model. Between one and eight components of BCTs in Behavior Change Technique (BCT) Taxonomy version1 were included in all interventions. The most frequent BCT components were social support (emotional) (

Indexed as

behavior change techniquesbehavior change theoryhealth scienceself-care

Identifiers

PMID40144709
PMCPMC11933984

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.