Evidence map›Paper›PMID 42136625›Full record

ArticleCureus2026

MRI Waiting Time Disparities in Saudi Public Hospitals: A Six-Year Retrospective Study.

Saleh Alzughaibi, Suha Kaaki, Adeeb Almohimeed, Khalid Tearo

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Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Saleh AlzughaibiDepartment of Health Informatics, College of Health Sciences, Saudi Electronic University, Riyadh, SAU.
Suha KaakiDivision of Thoracic Surgery, Department of Surgery, College of Medicine, King Saud University, Riyadh, SAU.
Adeeb AlmohimeedDepartment of Radiodiagnostics and Medical Imaging, Prince Sultan Military Medical City, Riyadh, SAU.
Khalid TearoDepartment of Radiological Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, SAU.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTimely access to magnetic resonance imaging (MRI) is essential for accurate diagnosis and effective patient management. Prolonged waiting times can compromise care quality and may signal inefficiencies or inequities within imaging services. Evidence on MRI waiting time patterns in Saudi Arabia's public healthcare system remains limited. This study aimed to quantify MRI waiting times and compare differences across urgency categories, patient demographics, and referring specialties in two Saudi Ministry of Health hospitals.

methodsA retrospective cohort study was conducted using Radiology Information System data from two Ministry of Health hospitals between 2017 and 2022. Waiting time was defined as the interval between the physician's imaging request and the MRI examination date, following the Western Canada Waiting List Project definition. All completed examinations with valid timestamps were included. Descriptive statistics summarized waiting time distributions, and Mann-Whitney U tests assessed differences by urgency (emergency vs. non-emergency), gender, nationality, and referring specialty. Temporal trends were examined descriptively across annual cohorts.

resultsA total of 35,934 MRI examinations were analyzed. The overall mean waiting time was 24.8 days (SD = 32.61), with a median of 12.9 days. Emergency examinations (n = 1,128) had considerably shorter waits than non-emergency examinations (n = 34,806), with medians of 1.12 versus 13.73 days (p < 0.001). Within the non-emergency pathway, female patients waited longer than males (median = 14.94 vs. 10.76 days; p < 0.001), and Saudi nationals waited longer than non-Saudi patients (median = 14.12 vs. 4.16 days; p < 0.001); these differences may reflect case-mix, demand concentration, or scheduling dynamics rather than confirmed inequitable practices. No significant gender difference was observed in emergency cases (p = 0.410). The longest specialty-specific delays were recorded for pediatric (41.17 days), neurology (35.15 days), and urology (35.05 days) referrals. Year-to-year fluctuations were noted, with the shortest non-emergency waits in 2020 and the longest in 2021, consistent with pandemic-related service disruptions and backlog accumulation.

conclusionEmergency MRI prioritization appears effective, with consistently short waiting times for urgent referrals throughout the study period. The primary operational challenge lies within the non-emergency pathway, where substantial variability was observed across gender, nationality, and referring specialty. Given the retrospective observational design, findings are descriptive and hypothesis-generating; observed differences should not be interpreted as confirmed structural inequity without further investigation. More granular non-emergency prioritization, specialty-sensitive capacity planning, and data-driven scheduling strategies may help reduce avoidable delays and promote fairer access to MRI services in public healthcare settings.

Indexed as

emergency imaginghealthcare equitymri waiting timenon-emergency imagingscheduling disparities

Identifiers

PMID42136625
PMCPMC13170978

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LicenceCC BY
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Registered trials

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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.