ArticleBMC medical informatics and decision making2026
Factors associated with clinical coders' intention to use the international classification of diseases 11th revision (ICD-11): a cross-sectional study in Iran.
Article in BMC medical informatics and decision making, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Review
- The Impact of REM Sleep Deprivation on ER Stress and Alzheimer-Like Pathology: Therapeutic Potential of Melatonin.Neurochemical research · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGiven the pivotal role of clinical coders’ intention to use (ITU) in the adoption of the International Classification of Diseases, 11th Revision (ICD-11), this study aimed to examine their ITU concerning ICD-11 in teaching hospitals in Iran.
methodsA descriptive and correlational cross-sectional study was conducted in 2025. 516 clinical coders in 250 Iranian teaching hospitals comprising the population. We estimate 165 required samples by employing the proportion estimation formula. Data were collected via electronic questionnaires distributed through social platforms, which may have introduced sampling bias and compromised response validity due to the non-randomized nature of these channels. We reassessed the validated questionnaire including 53 questions with a seven-point Likert scale. The data were analyzed using SPSS software, with a focus on descriptive statistics and Pearson’s correlation coefficients (r). AMOS 24 was used to derive the modeling outcome, and the Path Analysis model was applied to evaluate the structural model.
resultsA total of 156 coders replied to the electronic questionnaires (87.2% female) with response rate of 94.5%. The CFI was reported as 0.93, indicating an excellent model fit. The path model findings show that perceived usefulness (β = 0.42, p < 0.05), perceived ease of use (β = 0.36, p < 0.05), and facilitating conditions (β = 0.69, p < 0.05) exerted a significant positive indirect influence, while attitude (β = 0.63, p < 0.05) and perceived behavioral control (β = 0.19, p < 0.05) demonstrated a significant positive direct effect on clinical coders’ intention to use (ITU) ICD-11.
conclusionThe study indicated strong intention among clinical coders to adopt ICD-11, driven by perceived usefulness, ease of use, and facilitating conditions. The findings highlighted the need for targeted interventions to ensure a smooth transition, including training programs, peer collaboration initiatives, and integrating ICD-11 into digital health infrastructures. Policymakers and healthcare institutions should prioritize these elements to optimize implementation outcomes in Iran’s health information systems.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.