Evidence map›Paper›PMID 24113903›Full record

ArticleJournal of cancer education : the official journal of the American Association for Cancer Education2014

Influences of patient sociodemographics on cancer information received through the first 9 months of treatment.

Anthony Molisani, Levent Dumenci, Robin K Matsuyama

Abstract read
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In one paragraph

Article in Journal of cancer education : the official journal of the American Association for Cancer Education, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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

2 citing papers in PubMed.

  1. Article
  2. 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.

Anthony MolisaniDepartment of Social and Behavioral Health, School of Medicine, Virginia Commonwealth University (VCU), PO Box 980149, Richmond, VA, 23298-0149, USA, molisaniaj@vcu.edu.
Levent Dumenci
Robin K Matsuyama

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study evaluates the amount and change of information cancer patients report receiving related to disease, diagnostic tests, treatments, physical care, and psychosocial resources over 9 months of treatment. Information received by newly diagnosed, stages II-IV cancer patients receiving treatment (N = 139) at baseline, 4, and 9 months is examined through a two-stage latent growth model. Each information-received category was modeled with latent variables of intercept and slope. Random intercept and slope factors are then regressed on multiple sociodemographic covariates. The mean amount of information received does not change over time, but significant inter-individual variability was observed. Age (younger) and marital status (married) are significantly associated with a higher total amount of information received while education (less) and race (African-American) are significantly associated with slower declines of information received over time. While the mean amount of information cancer patients receive is relatively constant over the course of treatment for the first 9 months, the level and rate of information received is somewhat varied based on patient characteristics. Healthcare professionals need to be aware of the varying amounts of information received by patients and ensure that the amount is consistent with the patient's individual needs.

Indexed as

Health LiteracyHealth Services Needs and DemandPatient Education as TopicFemaleFollow-Up StudiesHealth Knowledge, Attitudes, PracticeHumansInformation Seeking BehaviorLongitudinal StudiesMaleMiddle AgedNeoplasmsPrognosisSocioeconomic Factors

Identifiers

What OpenQuestion holds

Textmetadata
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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.