Evidence map›Paper›PMID 34968313›Full record

ReviewNursing reports (Pavia, Italy)2021

Factors Associated with Nursing Interventions for Smoking Cessation: A Narrative Review.

Meng Li, Keiko Koide, Miho Tanaka, Misaki Kiya, Reiko Okamoto

Abstract readReview
In one paragraph

Review in Nursing reports (Pavia, Italy), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Assessment and Use of Electronic Patient Records for Smoking Cessation Support in Hospital Setting: A Cross-Sectional Study.Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals · 2026
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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

5 authors.

Meng LiDivision of Health Sciences, Osaka University Graduate School of Medicine, Suita City 565-0871, Japan.
Keiko KoideFaculty of Nursing, Shitennoji University, Habikino City 583-0868, Japan.
Miho TanakaDivision of Health Sciences, Osaka University Graduate School of Medicine, Suita City 565-0871, Japan.
Misaki KiyaDivision of Health Sciences, Osaka University Graduate School of Medicine, Suita City 565-0871, Japan.
Reiko OkamotoDivision of Health Sciences, Osaka University Graduate School of Medicine, Suita City 565-0871, Japan.ORCID 0000-0001-6032-171X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this narrative review is to synthesize the factors that are associated with smoking cessation intervention among nurses. We conducted a systematic search of the literature published from database inception through to 22 April 2020, in five electronic databases including Pubmed, CINAHL Plus, Scopus, Web of science, and ProQuest. The search was limited to articles written in English and published in scientific journals. The reference lists of papers identified as being relevant in the above electronic searches were also hand searched. The initial database search yielded 2039 articles and 11 articles were obtained through a manual search. Finally, 24 articles were included in the analysis. Of the 24 included studies, 46 different factors were identified to be significantly associated with nursing interventions for smoking cessation. The identified factors were grouped into the following four conceptually similar categories: (1) socioeconomic factors, (2) smoking-related factors, (3) motivational factors, and (4) enabling factors and barriers. In the future, nursing interventions for smoking cessation will need to be improved based on the identified factors.

Indexed as

factorsnarrative reviewnursing interventionssmoking cessation

Identifiers

PMID34968313
PMCPMC8608102

What OpenQuestion holds

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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.