Evidence map›Paper›PMID 27402140›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2017

Online cancer communities as informatics intervention for social support: conceptualization, characterization, and impact.

Shaodian Zhang, Erin O'Carroll Bantum, Jason Owen, Suzanne Bakken, Noémie Elhadad

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

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

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  20. Motivation Research on the Content Creation Behaviour of Young Adults in Anxiety Disorder Online Communities.International journal of environmental research and public health · 2021
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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

5 authors.

Shaodian ZhangDepartment of Biomedical Informatics, Columbia University, New York, USA.
Erin O'Carroll BantumCancer Prevention and Control Program, University of Hawaii Cancer Center, Honolulu, HI, USA.
Jason OwenVeterans Administration Palo Alto Health Care System, Menlo Park, California, USA.
Suzanne BakkenDepartment of Biomedical Informatics, Columbia University, New York, USA.
Noémie ElhadadDepartment of Biomedical Informatics, Columbia University, New York, USA.

Funding

Extended Methods and Software Development for Health NLPR01GM114355 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BETHARD, STEVEN, SAVOVA, GUERGANA K. · 2016 to 2024
$5.0M
NIGMS NIH HHS R01 GM114355
6 · The paper itself

Abstract

Objectives: The Internet and social media are revolutionizing how social support is exchanged and perceived, making online health communities (OHCs) one of the most exciting research areas in health informatics. This paper aims to provide a framework for organizing research of OHCs and help identify questions to explore for future informatics research. Based on the framework, we conceptualize OHCs from a social support standpoint and identify variables of interest in characterizing community members. For the sake of this tutorial, we focus our review on online cancer communities. Target audience: The primary target audience is informaticists interested in understanding ways to characterize OHCs, their members, and the impact of participation, and in creating tools to facilitate outcome research of OHCs. OHC designers and moderators are also among the target audience for this tutorial. Scope: The tutorial provides an informatics point of view of online cancer communities, with social support as their leading element. We conceptualize OHCs according to 3 major variables: type of support, source of support, and setting in which the support is exchanged. We summarize current research and synthesize the findings for 2 primary research questions on online cancer communities: (1) the impact of using online social support on an individual's health, and (2) the characteristics of the community, its members, and their interactions. We discuss ways in which future research in informatics in social support and OHCs can ultimately benefit patients.

Indexed as

InternetNeoplasmsSocial SupportHumansPeer GroupSocial Mediacharacterizationconceptualizationimpactonline health communitiespeer supportsocial support

Identifiers

PMID27402140
PMCPMC5565989

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.