Evidence map›Paper›PMID 24395992›Full record

Trial reportJournal of the National Cancer Institute. Monographs2013

Internet use, browsing, and the urban poor: implications for cancer control.

K Viswanath, Rachel McCloud, Sara Minsky, Elaine Puleo, Emily Kontos, Cabral Bigman-Galimore, Rima Rudd, Karen M Emmons

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of the National Cancer Institute. Monographs, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

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

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Seeing Beyond the Margins: Challenges to Informed Inclusion of Vulnerable Populations in Research.The Journal of law, medicine & ethics : a journal of the American Society of Law, Medicine & Ethics · 2018
    Article
  14. Review
  15. Article
  16. Beyond access: barriers to internet health information seeking among the urban poor.Journal of the American Medical Informatics Association : JAMIA · 2016
    Article
  17. Article
  18. Article
  19. Article
  20. The emerging diabetes online community.Current diabetes reviews · 2015
    Review
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

8 authors.

K ViswanathHarvard School of Public Health and Dana-Farber Cancer Institute, 450 Brookline Ave, LW 630, Boston, MA 02215. vish_viswanath@dfci.harvard.edu.
Rachel McCloud
Sara Minsky
Elaine Puleo
Emily Kontos
Cabral Bigman-Galimore
Rima Rudd
Karen M Emmons

Funding

Harvard Education Program in Cancer Prevention Control (R25T)R25CA057711 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI DAVISON, KIRSTEN · 1992 to 2018
$8.5M
Click to Connect: Improving Health Literacy through Internet LiteracyR01CA122894 · NCI · DANA-FARBER CANCER INST · PI VISWANATH, KASISOMAYAJULA · 2006 to 2010
$2.6M
Dissemination Research to Reduce Cancer DisparitiesK05CA124415 · NCI · DANA-FARBER CANCER INST · PI EMMONS, KAREN M. · 2007 to 2011
$810k
NCI NIH HHS K05 CA124415NCI NIH HHS R01 CA122894NCI NIH HHS R01-CA122894NCI NIH HHS R25 CA057711
6 · The paper itself

Abstract

backgroundDespite the growing penetration of the Internet, little is known about the usage and browsing patterns of those in poverty. We report on a randomized controlled trial that sheds light on the Internet use and browsing patterns among the urban poor.

methodsThe data come from 312 participants in Boston, Massachusetts, from Click to Connect, a study that examined the impact of an intervention that provided computers, Internet, and training to people from lower socioeconomic position (SEP). Data were gathered through pre- and posttest surveys and Internet use tracking software that generated approximately 13 million network activity files and more than 5.5 million records.

resultsInternet use increased among intervention participants, with most of their time spent on social and participatory media sites or Internet portals. Differential patterns of use by gender and race/ethnicity were observed. Purposive searching for health information was low among all participants. Most of the visits to health-related sites were to local hospitals' sites suggesting the influence of possible preexisting relationships and trust. Social networking sites were frequently visited, with three sites enjoying similar popularity among all groups.

conclusionsOur data show that the availability of Internet can lead to significant increase in its use among low SEP groups. Low SEP members used the Internet for participation and engagement, but the sites visited differed by group. Harnessing the power of social networking sites and shareware sites may be a way to increase access to health information.

Indexed as

Health CommunicationAdultFemaleHumansInternetMaleMiddle AgedNeoplasmsPovertySex FactorsUrban Population

Identifiers

PMID24395992
PMCPMC3881997

What OpenQuestion holds

Textmetadata
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.