Evidence map›Paper›PMID 36919995›Full record

ArticleInquiry : a journal of medical care organization, provision and financing

Positive Emotion and Media Dependence: Measuring Risk Information Seeking and Perception in the COVID-19 Pandemic Prevention.

Jinye Huang, Wujiong Ren, Shiwen Wang, Yifan Zhou, Ya Yang

Open access · goldAbstract read
In one paragraph

Article in Inquiry : a journal of medical care organization, provision and financing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
5.8field-weighted citation impact, top 4% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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

5 authors at 1 institution in 1 country.

Jinye HuangBeijing Normal University, Beijing, China.
Wujiong RenBeijing Normal University, Beijing, China.
Shiwen WangBeijing Normal University, Beijing, China.
Yifan ZhouBeijing Normal University, Beijing, China.
Ya YangBeijing Normal University, Beijing, China.ORCID 0000-0001-9749-8754
Beijing Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Risk perception and information seeking behaviors are affected by individual psychological and situational factors. In the background of COVID-19 prevailing for a long period, this study examined Chinese people's information seeking and processing behavior by the RISP model, which focused on the impact of individual risk perception, affective response, perceived information-gathering capacity, and media trust and the impact of the above factors on information seeking. This study designed an online survey with gender and age quotas among the Chinese population, including a total of 675 valid samples. It was found that the Chinese public's risk perception to pandemic had a positive effect on perceived information-gathering capacity and media trust. Furthermore, both positive emotional responses and negative emotional responses had a positive effect on information seeking behavior. Nurturing positive emotion engendered a holistic perception in pandemic information seeking. In addition, media trust, perceived information-gathering capacity, and subjective norms also positively impact information seeking behavior.

Indexed as

COVID-19EmotionsHumansInformation Seeking BehaviorPandemicsPerceptionCOVID-19media trustpositive emotionrisk information seekingrisk perception

Identifiers

PMID36919995
PMCPMC10018251
OpenAlexW4324309681

What Socratic 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 Socratic graph.