ArticleJournal of computer-mediated communication : JCMC2010
Factors Associated with Use of Interactive Cancer Communication System: An Application of the Comprehensive Model of Information Seeking.
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 23 papers, 4 of them syntheses that pooled 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.
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.
Who cites it
23 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Factors Associated With Digital Intervention Engagement and Adherence in Patients With Cancer: Systematic Review.Journal of medical Internet research · 2024Pooled it
- Electronic Systems for Patients to Report and Manage Side Effects of Cancer Treatment: Systematic Review.Journal of medical Internet research · 2019Pooled it
- Psychosocial interventions for patients and caregivers in the age of new communication technologies: opportunities and challenges in cancer care.Journal of health communication · 2015Pooled it
- Inclusion of underserved racial and ethnic groups in cancer intervention research using new media: a systematic literature review.Journal of the National Cancer Institute. Monographs · 2013Pooled it
- How Cancer Patients Use and Benefit from an Interactive Cancer Communication System.Journal of health communication · 2017Trial
- How user characteristics affect use patterns in web-based illness management support for patients with breast and prostate cancer.Journal of medical Internet research · 2013Trial
- Online Health Information Seeking Among Patients With Chronic Conditions: Integrating the Health Belief Model and Social Support Theory.Journal of medical Internet research · 2022Article
- Online Health Information-Seeking Behavior Among Korean American Immigrants in Rural Alabama: Dose Discrimination Matter?Journal of immigrant and minority health · 2022Article
- Risk perception and information-seeking behavior during emergency: An exploratory study on COVID-19 pandemic in Bangladesh.International journal of disaster risk reduction : IJDRR · 2021Article
- Validity Evidence Based on Relations to Other Variables of the eHealth Literacy Questionnaire (eHLQ): Bayesian Approach to Test for Known-Groups Validity.Journal of medical Internet research · 2021Article
- European Society of Thoracic Surgeons electronic quality of life application after lung resection: field testing in a clinical setting.Interactive cardiovascular and thoracic surgery · 2021Article
- Understanding health decision making: An exploration of homophily.Social science & medicine (1982) · 2018Review
- Predictors of Online Cancer Prevention Information Seeking Among Patients and Caregivers Across the Digital Divide: A Cross-Sectional, Correlational Study.JMIR cancer · 2016Article
- A Pilot Test of a Mobile App for Drug Court Participants.Substance abuse : research and treatment · 2016Article
- Behavioral research in cancer prevention and control: a look to the future.American journal of preventive medicine · 2014Review
- Managing uncertainty in the context of clubfoot care: exploring the value of uncertainty management theory and the sense of virtual community.The Iowa orthopaedic journal · 2013Article
- Social and psychological determinants of levels of engagement with an online breast cancer support group: posters, lurkers, and nonusers.Journal of health communication · 2012Article
- Use and evaluation of an individually tailored website for counselees prior to breast cancer genetic counseling.Journal of cancer education : the official journal of the American Association for Cancer Education · 2011Article
- Predictors of supportive message expression and reception in an interactive cancer communication system.Journal of health communication · 2011Article
- Cancer information seeking and awareness of cancer information sources among Korean Americans.Journal of cancer education : the official journal of the American Association for Cancer Education · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
In order to provide insights about cancer patients' online information seeking behaviors, the present study analyzes individuals' transaction log data and reports on how demographics, disease-related factors, and psychosocial needs predict patterns of service use within a particular Interactive Cancer Communication System (ICCS). Study sample included 294 recently diagnosed breast cancer patients. Data included pretest survey scores of demographic, disease-related, and psychosocial factors and automatically collected ICCS use data over the 4-month intervention. Statistical analyses correlated pre-test survey scores with subsequent, specific types of ICCS service usage. Patterns of online cancer information seeking differed according to the patients' characteristics, suggesting that lower income, less educated women and those lacking in information-seeking competence use the computer and online services to the same or a greater degree if those services are made available to them. Results of this study can inform more effective resource development for future eHealth applications.
Identifiers
What OpenQuestion holds
Registered trials
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.