Evidence map›Paper›PMID 41822851›Full record

ArticleInternational journal of public health2026

Development and Examination of the Psychometric Properties of the Social Perception of Artificial Intelligence in Healthcare Scale in the Turkish Context: Evidence From Hatay Province.

Fatma Nuray Kuşcu Şahin

Abstract read
In one paragraph

Article in International journal of public health, 2026. 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

1 author.

Fatma Nuray Kuşcu ŞahinHatay Health Services Vocational School, Hatay Mustafa Kemal University, Antakya, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The rapid spread of artificial intelligence (AI) in healthcare has increased interest in how the public views and trusts these technologies. However, tools designed to measure these perceptions in the Turkish context remain limited. This study aimed to develop a valid and reliable scale to assess public perceptions of AI in healthcare. Methods: An initial set of 41 items was created based on the literature and expert input. Data were collected from 404 adults in Turkey and divided into two groups. Exploratory factor analysis was conducted in the first group, followed by confirmatory factor analysis in the second group to test the factor structure, validity, and reliability of the scale. Results: Exploratory factor analysis showed that the scale has a three-factor structure reflecting attitudes and acceptance, trust, and perceived usefulness. This structure explained 74.35% of the total variance. Confirmatory factor analysis supported this model with an acceptable level of fit, and the results also showed that the scale had strong internal consistency. Conclusion: The SPAIHS is a psychometrically sound instrument for assessing public perceptions of AI in healthcare.

Indexed as

Artificial IntelligenceDelivery of Health CarePublic OpinionSocial PerceptionAdolescentAdultFactor Analysis, StatisticalFemaleHumansMaleMiddle AgedPsychometricsReproducibility of ResultsSurveys and QuestionnairesTrustTurkeyartificial intelligenceattitudeshealthcare deliverypsychometric measurementscale development

Identifiers

PMID41822851
PMCPMC12975613

What OpenQuestion holds

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LicenceCC BY
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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.