Evidence map›Paper›PMID 24359259›Full record

ArticleHealth communication2014

Navigating the cancer information environment: The reciprocal relationship between patient-clinician information engagement and information seeking from nonmedical sources.

Mihaela Moldovan-Johnson, Andy S L Tan, Robert C Hornik

Abstract read
In one paragraph

Article in Health communication, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Media Reporting on Air Pollution: Health Risk and Precautionary Measures in National and Regional Newspapers.International journal of environmental research and public health · 2020
    Article
  7. Article
  8. Cancer Patients and the Internet: a Survey Among German Cancer Patients.Journal of cancer education : the official journal of the American Association for Cancer Education · 2017
    Article
  9. Associations between cancer-related information seeking and receiving PET imaging for routine cancer surveillance--an analysis of longitudinal survey data.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2014
    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.

Mihaela Moldovan-Johnsona Texas Department of State Health Services.
Andy S L Tan
Robert C Hornik

Funding

Effects of Public Information in Cancer (EPIC Center)P50CA095856 · NCI · UNIVERSITY OF PENNSYLVANIA · PI HORNIK, ROBERT C. · 2003 to 2007
$10.1M
Training / Career DevelopmentP20CA095856 · NCI · UNIVERSITY OF PENNSYLVANIA · PI HORNIK, ROBERT C. · 2008 to 2012
$8.7M
NCI NIH HHS P20 CA095856NCI NIH HHS P20CA095856-06NCI NIH HHS P50 CA095856NCI NIH HHS P50-CA095856-01
6 · The paper itself

Abstract

Prior theory has argued and empirical studies have shown that cancer patients rely on information from their health care providers as well as lay sources to understand and make decisions about their disease. However, research on the dynamic and interdependent nature of cancer patients' engagement with different information sources is lacking. This study tested the hypotheses that patient-clinician information engagement and information seeking from nonmedical sources influence one another longitudinally among a representative cohort of 1,293 cancer survivors in Pennsylvania. The study hypotheses were supported in a series of lagged multiple regression analyses. Baseline seeking information from nonmedical sources positively predicted subsequent patient-clinician information engagement at 1-year follow-up. The reverse relationship was also statistically significant; baseline patient-clinician information engagement positively predicted information seeking from nonmedical sources at follow-up. These findings suggest that cancer survivors move between nonmedical and clinician sources in a dynamic way to learn about their disease.

Indexed as

Information Seeking BehaviorPhysician-Patient RelationsAgedFemaleHumansInternetLongitudinal StudiesMaleMiddle AgedNeoplasmsPennsylvaniaRegistriesRegression AnalysisSurvivors

Identifiers

PMID24359259
PMCPMC4222181

What OpenQuestion holds

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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.