Evidence map›Paper›PMID 21949474›Full record

ArticleJournal of computer-mediated communication : JCMC2010

Predictors and Effects of Training on an Online Health Education and Support System for Women with Breast Cancer.

Helene McDowell, Eunkyung Kim, Bret R Shaw, Jeong Yeob Han, Lauren Gumieny

Abstract read
In one paragraph

Article in Journal of computer-mediated communication : JCMC, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. Web-based cancer communication and decision making systems: connecting patients, caregivers, and clinicians for improved health outcomes.Medical decision making : an international journal of the Society for Medical Decision Making
    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.

Helene McDowellUniversity of Wisconsin-Madison.
Eunkyung Kim
Bret R Shaw
Jeong Yeob Han
Lauren Gumieny

Funding

Using Technology to Enhance Cancer Communication and Improve Clinical OutcomesP50CA095817 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI BURNSIDE, ELIZABETH S · 2003 to 2012
$19.3M
NCI NIH HHS P50 CA095817
6 · The paper itself

Abstract

Many breast cancer patients currently turn to Internet-based education and support to help them cope with their illness. This study explores the role of training in influencing how patients use a particular Interactive Cancer Communication System (ICCS) over time and also examines what pre-test characteristics predict which people are most likely to opt in or out of training in the first place. With use of pre-test survey and unobtrusive individual records of ICCS system use data (N = 216), nonparametric tests revealed that only having a later stage of cancer predicted whether or not patients participated in training. Results indicated that participating in training was a significant predictor of higher levels of using the CHESS system. In particular, the repeated measures analysis of covariance found the significant interaction as well as main effect of group (i.e., training vs. no training) and time (i.e., individual's CHESS usages at different times) in interactive and information CHESS services, suggesting that 1) the training group has a higher level of usage than the no training group, 2) both of the groups' usage decreased over time, and 3) these joint patterns hold over time. Practical guidelines for future ICCS campaign implementation are discussed.

Identifiers

PMID21949474
PMCPMC3179372

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.