Evidence map›Paper›PMID 27110146›Full record

ReviewSubstance abuse and rehabilitation2016

Smoking cessation support for pregnant women: role of mobile technology.

Christina L Heminger, Jennifer M Schindler-Ruwisch, Lorien C Abroms

Abstract readReview
In one paragraph

Review in Substance abuse and rehabilitation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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

  1. Pooled it
  2. Trial
  3. Trial
  4. Review
  5. Theory-Based Social and Non-Social Engagement Features in Smoking Cessation Mobile Apps: A Content Analysis.International journal of environmental research and public health · 2021
    Article
  6. Review
  7. Article
  8. Observational
  9. Article
  10. Article
  11. Improving fetal lung development with vitamin C and reducing asthma in children.Journal of perinatology : official journal of the California Perinatal Association · 2018
    Article
  12. Review
  13. Article
  14. Article
  15. 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

3 authors.

Christina L HemingerDepartment of Prevention and Community Health, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA.
Jennifer M Schindler-RuwischDepartment of Prevention and Community Health, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA.
Lorien C AbromsDepartment of Prevention and Community Health, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSmoking during pregnancy has deleterious health effects for the fetus and mother. Given the high risks associated with smoking in pregnancy, smoking cessation programs that are designed specifically for pregnant smokers are needed. This paper summarizes the current landscape of mHealth cessation programs aimed at pregnant smokers and where available reviews evidence to support their use.

methodsA search strategy was conducted in June-August 2015 to identify mHealth programs with at least one component or activity that was explicitly directed at smoking cessation assistance for pregnant women. The search for text messaging programs and applications included keyword searches within public health and medical databases of peer-reviewed literature, Google Play/iTunes stores, and gray literature via Google.

resultsFive unique short message service programs and two mobile applications were identified and reviewed. Little evidence was identified to support their use. Common tools and features identified included the ability to set your quit date, ability to track smoking status, ability to get help during cravings, referral to quitline, and tailored content for the individual participant. The theoretical approach utilized was varied, and approximately half of the programs included pregnancy-related content, in addition to cessation content. With one exception, the mHealth programs identified were found to have low enrollment.

conclusionGlobally, there are a handful of applications and text-based mHealth programs available for pregnant smokers. Future studies are needed that examine the efficacy of such programs, as well as strategies to best promote enrollment.

Indexed as

mHealthmobile applicationspregnancysmoking cessationtext messaging

Identifiers

PMID27110146
PMCPMC4835136

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.