Evidence map›Paper›PMID 34473451›Full record

ArticleJournal of addictions nursing

A 28-Day Challenge to Help Quit Smoking Using Telephone Follow-Ups Combined With the WeChat App: The Impact of the Humanistic Approach on Smoking Cessation.

Sisi Zhang, Qian Ding, Jun Shen, Heming Qu, Xiaoping Meng

Open access · hybridAbstract read
In one paragraph

Article in Journal of addictions nursing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 41% 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

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

  1. Pooled it
  2. Article
  3. 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

5 authors at 1 institution in 2 countries.

Qian Ding
Jun Shen
Heming Qu
Xiaoping Meng
Physicians Committee for Responsible Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstractThe study aims to assess the effectiveness of telephone follow-ups combined with a smartphone app (e.g., WeChat [Tencent], which is one of the most widely used communication apps in China), as a smoking cessation intervention. Social volunteers were recruited on March 1, 2017, and randomized to supervision groups with five participants in each group. Every day, the specialists shared some information related to smoking cessation including the videos, songs, and scientific knowledge in WeChat groups and conducted telephone follow-ups on the third, fifth, seventh, ninth, 12th, 17th, 22nd, 27th, and 30th day in March and on April 1. Ultimately, a comparison was made of the self-reported smoking abstinence and self-reported average number of cigarettes smoked between the participants. One hundred ten volunteers participated in the study, with 105 who completed follow-up. Self-reported smoking abstinence in the past 7 days occurred in 65.7% of the participants (n = 69) compared with 34.3% (n = 36) in whom smoking abstinence did not occur. The mean age of those who failed was 40.15 years (range: 22-70 years), and 55.5% (n = 20) attributed their failure to personal reasons. However, the self-reported average number of cigarettes smoked every day was less than that before the study (on average, 10.34 ± 8.17 per day), and this difference was statistically significant (95% CI [8.312, 12.364], p < .01). It was effective to deliver a telephone follow-up combined with a smartphone app follow-up as an intervention for smoking cessation.

Indexed as

Mobile ApplicationsSmoking CessationAdultAgedFollow-Up StudiesHumansMiddle AgedSmokingTelephoneYoung Adult

Identifiers

PMID34473451
PMCPMC8410085
OpenAlexW3196769828

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.