Evidence map›Paper›PMID 42270112›Full record

ArticleBMJ open2026

Information anxiety across populations in the VUCA era: a scoping review protocol.

Yuan Jiang, Normah Mustaffa, Jamaluddin Aziz, Xiaochun Cai

Abstract read
In one paragraph

Article in BMJ open, 2026. 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

4 authors.

Yuan JiangUniversiti Kebangsaan Malaysia, Bangi, Malaysia P117650@siswa.ukm.edu.my.ORCID http://orcid.org/0009-0007-5145-4247
Normah MustaffaUniversiti Kebangsaan Malaysia, Bangi, Malaysia.ORCID http://orcid.org/0000-0002-5238-7732
Jamaluddin AzizUniversiti Kebangsaan Malaysia, Bangi, Malaysia.
Xiaochun CaiUniversiti Kebangsaan Malaysia, Bangi, Malaysia.ORCID http://orcid.org/0009-0006-2069-2608

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionInformation anxiety (IA) describes the distress caused by the gap between the information individuals have and what they feel they should possess. In the current digital environment-marked by volatility, uncertainty, complexity and ambiguity-IA has expanded beyond traditional academic and workplace contexts to become a pervasive concern across populations. Mapping the empirical evidence on IA is critical to understanding its prevalence, determinants, impacts and coping strategies. METHODS AND ANALYSIS: This protocol outlines a scoping review guided by the Joanna Briggs Institute methodology and reported in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR). We will systematically search EBSCOhost, Scopus and Web of Science for peer-reviewed empirical studies published from 1 January 2000 to the planned end date of 5 November 2025. Two reviewers will independently screen records, with a third resolving discrepancies. Data extraction will be conducted using a customised tool, and results will be synthesised narratively and visually, structured around bibliometric characteristics, the Population, Concept, Context framework and a Stimulus-Organism-Response model. Subgroup analyses will be conducted across populations, disciplines and regions.-ScR ETHICS AND DISSEMINATION: As this study is based on secondary analysis of published data, ethical approval is not required. Findings will be disseminated through peer-reviewed journals and academic conferences.

Indexed as

AnxietyHumansResearch DesignScoping Reviews as TopicAwarenessHealth informaticsHealth LiteracyInformation management

Identifiers

PMID42270112
PMCPMC13264933

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.