Patient-Centered Innovations, Education and Technology for Cancer Care, Cancer Survivorship and Cancer Research
JMIR Cancer (JC) is a Pubmed-indexed, peer-reviewed journal with a focus on education, innovation and technology in cancer care, cancer survivorship and cancer research, as well as in participatory and patient-centred approaches. A sister journal of the Journal of Medical Internet Research (JMIR), a leading eHealth journal (Impact Factor 2015: 4.532), the scope of JC is broader and includes non-Internet approaches to improve cancer care and cancer research.
We invite submission of original research, viewpoints, reviews, tutorials, case studies, and non-conventional articles (e.g. open patient education material and software resources that are not yet evaluated but free for others to use/implement).
In our "Patients' Corner", we invite patients and survivors to submit short essays and viewpoints on all aspects of cancer, but in particular suggestions on how to improve the health care system, and suggestions for new technologies, applications and approaches (no article processing fees).
JC is open access and all articles are published under a Creative Commons Attribution license. JC has been accepted for indexing in PubMed Central and Pubmed.
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Latest Submissions Open for Peer-Review:View All Open Peer Review Articles
Analysis of Content Shared in Online Cancer Communities: A Systematic Review.
Date Submitted: Apr 26, 2017
Open Peer Review Period: Apr 27, 2017 - Jun 22, 2017
Background: Objective: The objective of this study was to systematically review all available literature that analyses user-generated content posted by cancer patients. We reviewed the quality of ava...
Background: Objective: The objective of this study was to systematically review all available literature that analyses user-generated content posted by cancer patients. We reviewed the quality of available research and what kinds of content patients share with each other online. Objective: Objective: The objective of this study was to systematically review all available literature that analyses user-generated content posted by cancer patients. We reviewed the quality of available research and what kinds of content patients share with each other online. Methods: Methods: A computerized search of the literature via PubMed and Science Direct was performed. Last search was January 2017. Articles were included with the the following terms: cancer, patients, support group, health communities, internet, content analysis. Thirty one articles were selected and were subjected to a 14-item quality checklist independently scored by two investigators. Results: Results: The methodological quality of the selected studies varied; 18 were of high quality, 11 adequate and 2 of low quality. The number of analysed posts and posters ranged from 100 to 1,562,459 and from 15 to 90,000. The studies analysing large numbers of posts mainly related to breast cancer, whereas those analysing small numbers related to other types of cancers. Automatic analysis of user-generated content was conducted in 9 studies. All the authors referred to two main categories: informational support and emotional support. Eighteen studies only reported on the content, six studies explicitly referred also to social aspects and six studies focused on emotional changes. One study considered possible empowerment as a result of participating. Conclusions: Discussion and Conclusion: In the future, increasing amounts of user-generated content are available on the Internet. The results of content analysis, especially of the larger studies, reveal detailed information of patients’ worries, which can be used for improvements in cancer care. To make it useable, it is necessary to improve our automatic content analysis methods by interdisciplinary collaboration.