Evidence map›Paper›PMID 40579622›Full record

ArticleInsights into imaging2025

Development and psychometric evaluation of the fear of medical imaging radiation scale (FOMIRS): insights from multimethod analysis.

Lin-Sen Feng, Si-Rong She, Yuan-Yuan Zhang, Jia-Qi Xie, Zheng-Jiao Dong, Ai Tang, Yin-Zhu Li, Xiao-Qian Wu, Qing Yang, Hao-Yu Wang and 1 more

Abstract read
In one paragraph

Article in Insights into imaging, 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

11 authors.

Lin-Sen Feng *The Sixth Affiliated Hospital, Kunming Medical University, Yuxi, China. since52@163.com.ORCID http://orcid.org/0000-0003-0329-9936
Si-Rong She *The First School of Clinical Medicine, Kunming Medical University, Kunming, China.ORCID http://orcid.org/0009-0000-3386-4807
Yuan-Yuan ZhangThe First School of Clinical Medicine, Kunming Medical University, Kunming, China.ORCID http://orcid.org/0009-0004-1608-4840
Jia-Qi XieSchool of Basic Medicine, Kunming Medical University, Kunming, China.ORCID http://orcid.org/0009-0002-0102-2271
Zheng-Jiao DongThe Sixth Affiliated Hospital, Kunming Medical University, Yuxi, China.ORCID http://orcid.org/0000-0003-0997-5595
Ai TangSchool of General Practitioners, Kunming Medical University, Yuxi, China.ORCID http://orcid.org/0009-0004-0215-449X
Yin-Zhu LiSchool of Business, Yuxi Normal University, Yuxi, China.
Xiao-Qian WuThe Sixth Affiliated Hospital, Kunming Medical University, Yuxi, China.
Qing YangYiliang County Center for Disease Control and Prevention, Zhaotong, China.
Hao-Yu WangSchool of Basic Medicine, Kunming Medical University, Kunming, China.ORCID http://orcid.org/0009-0001-5683-9943
San-Bin WangDepartment of Hematology, The 920th Hospital of Joint Logistics Support Force, Kunming, China. sanbin1011@163.com.ORCID http://orcid.org/0000-0002-4802-0292

Funding

National Training Program of Innovation and Entrepreneurship for Undergraduates 202410678049Program of Philosophy and Social Science Foundation of Yunnan Province QN202214
6 · The paper itself

Abstract

objectiveFear of medical imaging radiation (FOMIR) may influence disease screening willingness; however, no validated tool currently exists to assess FOMIR. This study aimed to develop and validate the Fear of Medical Imaging Radiation Scale (FOMIRS) and explore its psychological mechanisms.

methodsBased on classical test theory, the FOMIRS was developed through semi-structured interviews, grounded theory, and Delphi consultation. A cross-sectional survey with 1509 participants was conducted in Yunnan Province from September to December 2024. Psychometric properties were evaluated using construct validity, convergent validity, discriminant validity, criterion-related validity, content validity, and internal consistency. ROC curve analysis was used to determine the critical thresholds. Logistic regression analysis, network analysis, and structural equation modeling were employed to examine the relationships between the FOMIRS and related variables.

resultsThe FOMIRS consisted of 18 items organized into a two-dimensional structure. It demonstrated good model fit (Goodness-of-fit index = 0.909, Comparative fit index = 0.949), convergent validity (AVE > 0.45, CR > 0.80), discriminant validity (HTMT = 0.574), criterion-related validity (γ = 0.441), and content validity (S-CVI = 0.889). The FOMIRS also showed excellent internal consistency (Cronbach's α = 0.926 and McDonald's ω = 0.935). Cost-induced refusal of imaging examinations, cancer screening willingness, online learning, imaging radiation cognition, and fear of cancer were identified as influencing factors of FOMIR (p < 0.05). FOMIR serves as a core node in the network, and imaging radiation cognition may affect cancer screening willingness through this mechanism (p < 0.05).

conclusionFOMIRS accurately measures individual FOMIR levels. It captures the psychological characteristics and behavioral tendencies associated with FOMIR and indicates potential mechanisms. CRITICAL RELEVANCE STATEMENT: We developed the Fear of Medical Imaging Radiation Scale (FOMIRS), a psychometric tool measuring individuals' fear of medical imaging radiation (FOMIR), demonstrating good reliability, validity, and practical application potential. KEY POINTS: Evaluating individuals' FOMIR improves compliance with imaging exams and reduces related cognitive biases. FOMIRS is a reliable and valid tool for measuring FOMIR levels, capturing psychological and behavioral traits, and revealing interactions with external features. FOMIR is a complex phenomenon involving psychological traits, behavioral tendencies, and cognitive biases that affect people's willingness to undergo cancer screening.

Indexed as

Fear of medical imaging radiationMechanismsReliabilityScaleValidity

Identifiers

PMID40579622
PMCPMC12205105

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.