Evidence map›Paper›PMID 26825969›Full record

ArticleJournal of medical Internet research2016

Adapting Behavioral Interventions for Social Media Delivery.

Sherry Pagoto, Molly E Waring, Christine N May, Eric Y Ding, Werner H Kunz, Rashelle Hayes, Jessica L Oleski

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed, 2 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

80 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  7. Facebook Intervention to Connect Alaska Native People With Resources and Support to Quit Smoking: CAN Quit Pilot Randomized Controlled Trial.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023
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20 more citing papers are in PubMed but not listed here.

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.

Sherry PagotoDepartment of Medicine, Division of Preventive and Behavioral Medicine, University of Massachusetts Medical School, Worcester, MA, United States. Sherry.Pagoto@umassmed.edu.ORCID http://orcid.org/0000-0002-2462-8797

Funding

University of Massachusetts Center for Clinical Science and Translational SupplementUL1TR001453 · NCATS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LUZURIAGA, KATHERINE F · 2015 to 2024
$39.0M
Medical Scientist Training at UMMS Administrative SupplementT32GM107000 · NIGMS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI KIEFE, CATARINA I. · 2013 to 2022
$4.9M
University of Massachusetts Center for Clinical and Translational ScienceKL2TR000160 · NCATS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LUZURIAGA, KATHERINE F · 2012 to 2014
$1.7M
Mentoring in mHealth and Social Networking Interventions for CVD Risk ReductionK24HL124366 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI PAGOTO, SHERRY L. · 2015 to 2024
$1.1M
NCATS NIH HHS KL2 TR000160NCATS NIH HHS KL2TR000160NCATS NIH HHS UL1 TR001453NHLBI NIH HHS K24 HL124366NIGMS NIH HHS T32 GM107000
6 · The paper itself

Abstract

Patients are increasingly using online social networks (ie, social media) to connect with other patients and health care professionals--a trend called peer-to-peer health care. Because online social networks provide a means for health care professionals to communicate with patients, and for patients to communicate with each other, an opportunity exists to use social media as a modality to deliver behavioral interventions. Social media-delivered behavioral interventions have the potential to reduce the expense of behavioral interventions by eliminating visits, as well as increase our access to patients by becoming embedded in their social media feeds. Trials of online social network-delivered behavioral interventions have shown promise, but much is unknown about intervention development and methodology. In this paper, we discuss the process by which investigators can translate behavioral interventions for social media delivery. We present a model that describes the steps and decision points in this process, including the necessary training and reporting requirements. We also discuss issues pertinent to social media-delivered interventions, including cost, scalability, and privacy. Finally, we identify areas of research that are needed to optimize this emerging behavioral intervention modality.

Indexed as

Social MediaSocial SupportHealth BehaviorHealth PromotionHumansInformation Seeking Behaviorbehavioral interventionshealth behavioronline social networkssocial media

Identifiers

PMID26825969
PMCPMC4752690

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.