Evidence map›Paper›PMID 40394188›Full record

ArticleScientific reports2025

Exploring pandemic preparedness through public perception and its impact on health service quality, attitudes, and healthcare image.

Onur İzmir, Reda M Lebcir, Oğuz Oypan

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Onur İzmirDepartment of Management and Organization, Sinop University, Sinop, Turkey.
Reda M LebcirHertfordshire Business School, University of Hertfordshire, College Lane, Hatfield, AL10 9AB, UK. m.r.lebcir@herts.ac.uk.
Oğuz OypanDepartment of Wholesale and Retail, Antakya Vocational School, Hatay Mustafa Kemal University, 31060, Hatay, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pandemic preparedness has gained increased significance in public health following the COVID-19 pandemic. Traditionally, it has been assessed from an internal organizational perspective, focusing on health sector readiness and addressing shortcomings. However, this perspective often overlooks the public's perception of preparedness and its influence on behaviors within the healthcare sector. This study investigates how public views on pandemic preparedness shape attitudes, behaviors, and the image of the healthcare industry, which are critical in determining how individuals interact with health entities and respond to public health advice during a pandemic. To explore this, a set of hypotheses linking pandemic preparedness with health service quality, attitudes, and healthcare image was formulated. An online survey conducted in Türkiye gathered 322 responses. Hypothesis testing was performed using Structural Equation Modeling. The findings suggest that pandemic preparedness significantly impacts health service quality, public attitudes, and the image of the healthcare system during pandemic conditions. These results highlight the need to consider public perceptions of preparedness and their effects on behavior. Proactive communication strategies and public involvement in preparedness planning are essential for fostering a collective and informed response to the challenges posed by pandemics.

Indexed as

COVID-19PandemicsPublic OpinionQuality of Health CareAdultDelivery of Health CareFemaleHealth Knowledge, Attitudes, PracticeHumansMaleMiddle AgedPandemic PreparednessPublic HealthSARS-CoV-2Surveys and QuestionnairesYoung AdultCOVID-19Healthcare imageHealth service qualityPerceived pandemic preparednessTürkiye

Identifiers

PMID40394188
PMCPMC12092761

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.