Evidence map›Paper›PMID 26075158›Full record

ArticleNetwork modeling and analysis in health informatics and bioinformatics2014

Towards Evaluating and Enhancing the Reach of Online Health Forums for Smoking Cessation.

Michael Stearns, Siddhartha Nambiar, Alexander Nikolaev, Alexander Semenov, Scott McIntosh

Abstract read
In one paragraph

Article in Network modeling and analysis in health informatics and bioinformatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Article
  8. 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.

Michael StearnsDepartment of Industrial and Systems Engineering, University at Buffalo (SUNY), Buffalo, NY, USA.
Siddhartha NambiarDepartment of Industrial and Systems Engineering, University at Buffalo (SUNY), Buffalo, NY, USA.
Alexander NikolaevDepartment of Industrial and Systems Engineering, University at Buffalo (SUNY), Buffalo, NY, USA.
Alexander SemenovDepartment of Mathematical Information Technology, University of Jyväskylä, Jyväskylä, Finland.
Scott McIntoshDepartment of Public Health Sciences, University of Rochester, Roshester, NY, USA.

Funding

Web-Assisted Tobacco Intervention with Community College StudentsR01CA152093 · NCI · UNIVERSITY OF ROCHESTER · PI MCINTOSH, SCOTT · 2011 to 2015
$2.5M
NCI NIH HHS R01 CA152093
6 · The paper itself

Abstract

Online pro-health social networks facilitating smoking cessation through web-assisted interventions have flourished in the past decade. In order to properly evaluate and increase the impact of this form of treatment on society, one needs to understand and be able to quantify its reach, as defined within the widely-adopted RE-AIM framework. In the online communication context, user engagement is an integral component of reach. This paper quantitatively studies the effect of engagement on the users of the Alt.Support.Stop-Smoking forum that served the needs of an online smoking cessation community for more than ten years. The paper then demonstrates how online service evaluation and planning by social network analysts can be applied towards strategic interventions targeting increased user engagement in online health forums. To this end, the challenges and opportunities are identified in the development of thread recommendation systems using core-users as a strategic resource for effective and efficient spread of healthy behaviors, in particular smoking cessation.

Indexed as

engagementintervention modelingonline forum communicationreachRE-AIM frameworksmoking cessationsocial network analysis

Identifiers

PMID26075158
PMCPMC4461236

What OpenQuestion holds

Textmetadata
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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.