Evidence map›Paper›PMID 37774042›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2023

Bridging the ICT Revolution and Communication Inequality: Lessons for Cancer Survivors.

Minsoo Jung

Abstract read
In one paragraph

Article in Asian Pacific journal of cancer prevention : APJCP, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Minsoo JungDepartment of Health Science, Dongduk Women's University, Seoul, South Korea.ORCID 0000-0003-3317-6507

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid development of information and communication technologies (ICTs) offers new opportunities for providing health information to patients. In this study, we examined the contrasting effects that communication innovation through ICTs can bring in the care of patients with chronic diseases and the health promotion of medical consumers. We also discussed how disparities in information technology usage, based on socioeconomic status, affect the information gap and health inequalities among medical consumers. ICTs have democratized health information, but the information gap persists and can deepen health inequality. Communication inequality manifests in access to technology, information processing, attention to health information, information seeking, and health outcomes. Significant differences in health communication behaviors exist according to social class. Social disparities in technology access and usage contribute to the information gap, which ultimately leads to different health levels. Communication innovation through ICT has both positive and negative effects on managing chronic diseases. Positively, it democratizes information generation and consumption, enabling patients to interact with healthcare providers and peers for support and advice. Negatively, an abundance of medical information can cause cognitive overload. To maximize benefits and minimize adverse effects, efforts should focus on promoting ICTs in healthcare, enhancing patients' decision-making abilities, and addressing communication inequality. Healthcare institutions must provide consistent, high-quality information, and governments should support underserved populations' access to information, ensuring that ICTs contribute to improved health outcomes.

Indexed as

Cancer SurvivorsNeoplasmsCommunicationDelivery of Health CareHealth Status DisparitiesHumansInformation Technologycancer survivorsCommunication InequalityICT Revolution

Identifiers

PMID37774042
PMCPMC10762738

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.