Evidence map›Paper›PMID 37389054›Full record

ArticleHeliyon2023

Which visual elements on packaging affect perceived credibility? A case study of in vitro diagnostic kits.

Wen Yuan, Zhanxun Dong, Jiao Xue, Lingying Luo, Yifan Xue

Abstract read
In one paragraph

Article in Heliyon, 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

5 authors.

Wen YuanSchool of Design, Shanghai Jiao Tong University, Shanghai, China.
Zhanxun DongSchool of Design, Shanghai Jiao Tong University, Shanghai, China.
Jiao XueSchool of Design, Shanghai Jiao Tong University, Shanghai, China.
Lingying LuoSchool of Design, Shanghai Jiao Tong University, Shanghai, China.
Yifan XueSchool of Design, Shanghai Jiao Tong University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With increasing public health awareness and the unprecedented global health crisis, consumers' demand for in vitro diagnostic (IVD) reagents is gradually increasing. However, consumer mistrust remains a significant barrier to purchasing and using IVD products. Pharmaceutical companies and governments prioritizing direct-to-consumer (DTC) marketing have recognized the impact of visual packaging elements on consumer perception. Thus, we researched whether visual packaging elements systematically influence consumers' perceived credibility of IVD products' credence attributes, namely, their ability to protect personal and public health. Combining previous related studies, this study was conducted experimentally with rapid diagnostic test (RDT) kits, assuming that the visual elements (i.e., typeface, color, pattern, and information) of packaging can influence consumers' perceived credibility of RDT kits and explored which elements are more credible. Questionnaires were randomly selected and assigned to 216 participants. The results indicated that all four elements influenced the participants' perceived credibility. Specifically, a sans serif typeface, realistic pattern, chromatic color, and more information made the participants feel more credible. Our research results fill a gap in the consumer perception of over-the-counter (OTC) pharmaceutical products by providing new insights into dissecting consumer perceptions. This offers a novel design strategy for online and offline marketing and promotional efforts by different companies and governmental organizations.

Indexed as

Packaging designPerceived credibilityVisual element

Identifiers

PMID37389054
PMCPMC10300339

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.