Evidence map›Paper›PMID 18569368›Full record

ArticleJournal of health communication2008

Antecedent characteristics of online cancer information seeking among rural breast cancer patients: an application of the Cognitive-Social Health Information Processing (C-SHIP) model.

Bret R Shaw, Lori L Dubenske, Jeong Yeob Han, Ludmila Cofta-Woerpel, Nigel Bush, David H Gustafson, Fiona McTavish

Abstract read
In one paragraph

Article in Journal of health communication, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
8.5field-weighted citation impact, top 3% 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 68 citations in OpenAlex.

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  17. An e-health solution for people with alcohol problems.Alcohol research & health : the journal of the National Institute on Alcohol Abuse and Alcoholism · 2011
    Review
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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

7 authors at 6 institutions in 2 countries.

Bret R ShawDepartment of Life Sciences Communication, University of Wisconsin-Madison, Madison, Wisconsin, USA. brshaw@wisc.edu
Lori L Dubenske
Jeong Yeob Han
Ludmila Cofta-Woerpel
Nigel Bush
David H Gustafson
Fiona McTavish
Center for Cancer Research · USFred Hutch Cancer Center · USGrady Memorial Hospital · USNational Cancer Institute · USUniversity of Georgia · USUniversity of Wisconsin–Madison · US

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

Little research has examined the antecedent characteristics of patients most likely to seek online cancer information. This study employs the Cognitive-Social Health Information Processing (C-SHIP) model as a framework to understand what psychosocial characteristics precede online cancer-related information seeking among rural breast cancer patients who often have fewer health care providers and limited local support services. Examining 144 patients who were provided free computer hardware, Internet access, and training for how to use an interactive cancer communication system, pretest survey scores indicating patients' psychosocial status were correlated with specific online cancer information seeking behaviors. Each of the factors specified by the C-SHIP model had significant relationships with online cancer information seeking behaviors, with the strongest findings emerging for cancer-relevant encodings and self-construals, cancer-relevant beliefs and expectancies, and cancer-relevant self-regulatory competencies and skills. Specifically, patients with more negative appraisals in these domains were more likely to seek out online cancer information. Additionally, antecedent variables associated with the C-SHIP model had more frequent relationships with experiential information as compared with to didactic information. This study supports the applicability of the model to discern why people afflicted with cancer may seek online information to cope with their disease.

Indexed as

Health Knowledge, Attitudes, PracticeInformation ServicesInternetAdultBreast NeoplasmsCohort StudiesFemaleHumansMiddle AgedPatient Acceptance of Health CarePsychologyRural PopulationSelf-Help GroupsWisconsin

Identifiers

PMID18569368
PMCPMC3632214
OpenAlexW2029106558

What OpenQuestion holds

Textmetadata
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.