Evidence map›Paper›PMID 40432428›Full record

Observational studyEuropean journal of ophthalmology2025

Wait times in pediatric ophthalmology clinics: Insights from a tertiary university hospital.

Achia Nemet, Asaf Israeli, Tzadok Yona, Eytan Z Blumenthal, Adir Sommer, Efrat Naaman, Vered Brucker, Yonina Ron, Jessica Lelonek, Eedy Mezer

Abstract readObservational Study
In one paragraph

Observational study in European journal of ophthalmology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
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

10 authors.

Achia NemetDepartment of Ophthalmology, Samson Assuta Medical Center, Ashdod, Israel.ORCID 0000-0001-9970-0071
Asaf IsraeliRuth and Bruce Rappaport Faculty of Medicine, Technion, Israel Institute of Technology, Haifa, Israel.ORCID 0000-0002-0096-880X
Tzadok YonaTel-Aviv University-Faculty of Medicine, Tel-Aviv, Israel.ORCID 0009-0008-7315-7670
Eytan Z BlumenthalRuth and Bruce Rappaport Faculty of Medicine, Technion, Israel Institute of Technology, Haifa, Israel.
Adir SommerRuth and Bruce Rappaport Faculty of Medicine, Technion, Israel Institute of Technology, Haifa, Israel.ORCID 0000-0003-3568-2489
Efrat NaamanRuth and Bruce Rappaport Faculty of Medicine, Technion, Israel Institute of Technology, Haifa, Israel.
Vered BruckerDepartment of Ophthalmology, Rambam Health Care Campus, Haifa, Israel.
Yonina RonDepartment of Ophthalmology, Rambam Health Care Campus, Haifa, Israel.
Jessica LelonekRuth and Bruce Rappaport Faculty of Medicine, Technion, Israel Institute of Technology, Haifa, Israel.
Eedy MezerRuth and Bruce Rappaport Faculty of Medicine, Technion, Israel Institute of Technology, Haifa, Israel.ORCID 0000-0002-2818-7538

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PurposeTo analyze wait time (WT) trends at Pediatric Ophthalmology and Strabismus (POS) service clinics.MethodsRetrospective observational study utilizing MDClone and electronic health records (EHRs) on 19,018 patients from POS clinics at a tertiary university-affiliated hospital in Israel, during April 2016-June 2023. Data were collected by the qFlow real-time patient tracking system. Primary outcome measures were WTs trends.ResultsData consisted of 19,018 patients, and the final cohort was 11,320 patients (49.51% female). Median age was 6 (IQR: 7) and median WT was 34.14 (IQR: 16.52-60.35) minutes. WT decreased during the pandemic (p < 0.001). WT across different eye clinics at the POS service differed (p < 0.001). Average WTs differed throughout the day: gradually decreasing from front desk opening until accepting patients, gradually increasing before noon, and followed by a gradual decrease. WTs fluctuated throughout the year with no clear pattern (31 min in May vs. 37 min in July, p < 0.001). There was a significant, weak, negative correlation between patients' lateness and WT, suggesting late arrivals were admitted quicker (p < 0.001). Median WT was not associated with gender (p = 0.93) or religion (p = 0.11) and with age (R = 0.02, p = 0.14).ConclusionWTs remained stable over the years. WTs at the POS service were significantly influenced by the time of day, month, type of clinic, and arrival time relative to the set appointment. WTs were significantly decreased during the COVID-19 epidemic. Personalized clinic schedules and adjusting for the complexity of needing both an orthoptist and ophthalmologist, may shorten WTs and encourage patients to avoid early arrivals.

Indexed as

Hospitals, UniversityOphthalmologyTertiary Care CentersWaiting ListsAdolescentChildChild, PreschoolFemaleHumansInfantIsraelMaleRetrospective StudiesStrabismusTime Factorspediatric ophthalmologystrabismus outpatient clinicWait times

Identifiers

PMID40432428
PMCPMC12547037

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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.