Evidence map›Paper›PMID 28561647›Full record

ReviewAmerican Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting2017

Social Media and Mobile Technology for Cancer Prevention and Treatment.

Judith J Prochaska, Steven S Coughlin, Elizabeth J Lyons

Abstract readReview
In one paragraph

Review in American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 5 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

54 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Harnessing Digital Videos to Promote Cancer Prevention and Education: a Systematic Review of the Literature from 2013-2018.Journal of cancer education : the official journal of the American Association for Cancer Education · 2020
    Pooled it
  6. Trial
  7. Trial
  8. Trial
  9. Article
  10. Evaluating How Patients with Thyroid Cancer Use Online Resources and Social Media to Access Health Information.Journal of cancer education : the official journal of the American Association for Cancer Education · 2025
    Article
  11. Review
  12. Article
  13. Article
  14. Enhancing the Impact of Digital Therapeutics in Cancer Prevention: Reflections on Recent Findings.Journal of cancer education : the official journal of the American Association for Cancer Education · 2025
    Article
  15. Article
  16. Understanding Multi-Level Factors Impacting Digital Health Literacy in the Deep South of the United States.International journal of environmental research and public health · 2024
    Article
  17. Article
  18. Article
  19. Article
  20. Article
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

3 authors.

Judith J ProchaskaFrom the Department of Medicine, Stanford Prevention Research Center, Stanford University, Stanford, CA; Department of Clinical and Digital Health Sciences, College of Allied Health Sciences, Augusta University, Augusta, GA; Department of Nutrition and Metabolism, The University of Texas Medical Branch, Galveston, TX.
Steven S CoughlinFrom the Department of Medicine, Stanford Prevention Research Center, Stanford University, Stanford, CA; Department of Clinical and Digital Health Sciences, College of Allied Health Sciences, Augusta University, Augusta, GA; Department of Nutrition and Metabolism, The University of Texas Medical Branch, Galveston, TX.
Elizabeth J LyonsFrom the Department of Medicine, Stanford Prevention Research Center, Stanford University, Stanford, CA; Department of Clinical and Digital Health Sciences, College of Allied Health Sciences, Augusta University, Augusta, GA; Department of Nutrition and Metabolism, The University of Texas Medical Branch, Galveston, TX.

Funding

UTMB OAIC Research Education Component (REC)P30AG024832 · NIA · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · PI JAMES S. GOODWIN, MD, MELISSA M. MORROW · 2005 to 2026
$26.7M
Technology Innovations for Supporting Health in Alaska Native PeopleR01HL117736 · NHLBI · STANFORD UNIVERSITY · PI BENOWITZ, NEAL L, PROCHASKA, JUDITH J. · 2014 to 2018
$3.8M
Social Media Technology for Treating Tobacco AddictionR01CA204356 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI PECHMANN, CORNELIA, PROCHASKA, JUDITH J. · 2016 to 2020
$2.6M
NCI NIH HHS R01 CA204356NHLBI NIH HHS R01 HL117736NIA NIH HHS P30 AG024832
6 · The paper itself

Abstract

Given the number of lives affected by cancer and the great potential for optimizing well-being via lifestyle changes, patients, providers, health care systems, advocacy groups, and entrepreneurs are looking to digital solutions to enhance patient care and broaden prevention efforts. Thousands of health-oriented mobile websites and apps have been developed, with a majority focused upon lifestyle behaviors (e.g., exercise, diet, smoking). In this review, we consider the use and potential of social media and mHealth technologies for cancer prevention, cancer treatment, and survivorship. We identify key principles in research and practice, summarize prior reviews, and highlight notable case studies and patient resources. Further, with the potential for scaled delivery and broad reach, we consider application of social media and mHealth technologies in low-resource settings. With clear advantages for reach, social media and mHealth technologies offer the ability to scale and engage entire populations at low cost, develop supportive social networks, connect patients and providers, encourage adherence with cancer care, and collect vast quantities of data for advancing cancer research. Development efforts have been rapid and numerous, yet evaluation of intervention effects on behavior change and health outcomes are sorely needed, and regulation around data security issues is notably lacking. Attention to broader audiences is also needed, with targeted development for culturally diverse groups and non-English speakers. Further investment in research to build the evidence base and identify best practices will help delineate and actualize the potential of social media and mHealth technologies for cancer prevention and treatment.

Indexed as

Social MediaDelivery of Health CareHumansNeoplasmsSurvivorshipTelemedicine

Identifiers

PMID28561647
PMCPMC5788572

What OpenQuestion holds

Textmetadata
LicenceTDM
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.