Evidence map›Paper›PMID 33490678›Full record

ArticleHeliyon2021

Gender, education, and digital generations as determinants of attitudes toward health information for health workers in West Java, Indonesia.

Susanne Dida, Hanny Hafiar, Anissa Lestari Kadiyono, Syauqy Lukman

Abstract read
In one paragraph

Article in Heliyon, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. [Expectations of generation Y for digital health innovations].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2022
    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

4 authors.

Susanne DidaUniversitas Padjadjaran, Center of Health Communication Studies, Bandung, Indonesia.
Hanny HafiarUniversitas Padjadjaran, Faculty of Communication Science, Bandung, Indonesia.
Anissa Lestari KadiyonoUniversitas Padjadjaran, Faculty of Psychology, Bandung, Indonesia.
Syauqy LukmanUniversitas Padjadjaran, Faculty of Communication Science, Bandung, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Health information is a commodity heavily sought by Indonesians because of the increasing consciousness of a healthy lifestyle. However, the circulation of health information is consistently disrupted by misinformation and disinformation, particularly on social media and chatting platforms such as WhatsApp. Identified misinformation and disinformation can be found on the official web page run by the Ministry of Communication and Information (https://trustpositif.kominfo.go.id/). Digital information exchange often involves health care workers; they are considered a credible source of health information. The purpose of this study was to delineate the attitudes of health care workers toward health information, determined by gender, educational attainment, and age differences. Health information in this study was information circulated on WhatsApp. We divided the age differences into four digital generations: baby boomers and Generations X, Y, and Z. We used the t-test and analysis of education and age differences when using the analysis of variance to demonstrate the differences among determinants factors of respondents-617 health care workers in West Java-in using WhatsApp when receiving and sharing health information. The results support that attitudes toward health information are determined by education attainment and differences in generation and that gender differences have no effect.

Indexed as

Baby boomerGeneration XGeneration YGeneration ZLevel of educationSocial mediaWest JavaWhatsApp

Identifiers

PMID33490678
PMCPMC7810767

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.