Evidence map›Paper›PMID 34990211›Full record

ArticleJCO clinical cancer informatics2022

Impact of Health Perception and Knowledge on Genetic Testing Decisions Using the Health Belief Model.

Safa Elkefi, Avishek Choudhury, Olga Strachna, Onur Asan

Open access · greenAbstract read
In one paragraph

Article in JCO clinical cancer informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.2field-weighted citation impact, top 12% of its field
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

8 citing papers in PubMed, 12 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Safa ElkefiStevens Institute of Technology, School of Systems and Enterprises, Hoboken, NJ.ORCID 0000-0002-4293-0404
Avishek ChoudhuryStevens Institute of Technology, School of Systems and Enterprises, Hoboken, NJ.ORCID 0000-0002-5342-0709
Olga StrachnaStevens Institute of Technology, School of Systems and Enterprises, Hoboken, NJ.ORCID 0000-0002-4010-9671
Onur AsanStevens Institute of Technology, School of Systems and Enterprises, Hoboken, NJ.ORCID 0000-0002-9239-3723
Stevens Institute of Technology · US

Funding

Patients Perceptions of Electronic Health Record use during initial oncology outpatient clinic visitsR15NR018965 · NINR · THE TRUSTEES OF THE STEVENS INSTITUTE OF TECHNOLOGY · PI ASAN, ONUR · 2020 to 2020
$431k
6 · The paper itself

Abstract

purposeEarly detection of cancer risk is essential as it is associated with a higher chance of survival, more successful treatment, and improved quality of life. Genetic testing helps at-risk patients estimate the likelihood of developing cancer in a lifetime. This study aims to indentify the factors (perceived susceptibility, severity, benefits, and self-efficacy) that impact one's decision to take the genetic test.

methodsWe examined the impacts of different factors of the health belief model on the engagement of patients in genetic testing using data from the National Cancer Institute's 2020 cross-sectional nationally representative data published in 2021. Complete surveys were answered by 3,865 participants (weighted population size = 253,815,197). All estimates were weighted to be nationally representative of the US population using the jackknife weighting method for parameter estimation. We used multivariable logistic regression to test our hypotheses for patients who have taken the genetic test for cancer risk detection. We adjusted the multivariate model for age, education, income, race, sex, cancer history, familial cancer history, and education.

resultsWe tested five hypotheses using the health belief model. Respondents who had genetic testing were more likely to rely on their health care providers and genetic counselors to make their decisions. Respondents who had genetic tests also reported less reliability on other sources than doctors: for the internet and social media (odds ratio = 0.33;

conclusionThe findings show that patients generally rely on suggestions from their health care providers and counselors in genetic testing decisions. These findings also indicate that health care providers play a critical role in helping patients decide whether to use genetic testing to detect cancer risk in the early stages.

Indexed as

NeoplasmsQuality of LifeCross-Sectional StudiesGenetic TestingHealth Belief ModelHumansPerceptionReproducibility of Results

Identifiers

PMID34990211
PMCPMC9848547
OpenAlexW4205292104

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.