Evidence map›Paper›PMID 42206188›Full record

ArticleClinical optometry2026

Lead Times of Optometry Services in Selected Public Hospitals in Rural South Africa.

Mapula Precious Rapao, Pheagane Motsime William Nkoana

Abstract read
In one paragraph

Article in Clinical optometry, 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
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

2 authors.

Mapula Precious RapaoDepartment of Optometry, University of Limpopo, Polokwane, South Africa.ORCID 0009-0001-6254-1043
Pheagane Motsime William NkoanaDepartment of Optometry, University of Limpopo, Polokwane, South Africa.ORCID 0000-0003-2086-8002

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Efficient service delivery remains a critical benchmark of public sector performance, with lead and waiting times serving as essential indicators of responsiveness and accessibility. Long waiting times not only diminish user satisfaction but can also exacerbate inequalities in access, particularly in resource-constrained contexts. This study investigated the lead times of optometry services in selected hospitals in rural South Africa. By evaluating lead and waiting times and identifying contributing factors, the research further aimed to inform strategies for improving service delivery and reducing delays in optometry care. Methods: A cross sectional, prospective, and observational designs was adopted to record and quantitatively describe waiting and lead times in five selected hospitals in Limpopo, South Africa. Retrospective, quantitative document review was also conducted to check waiting time to receive optical devices. Descriptive and inferential statistical analysis was performed. This study used a cross-sectional, prospective, quantitative, descriptive and observational design to track consulting patients in order to record the lead times throughout the consultation, time to secure referral appointment and waiting times to receive optical devices after consultation. Secondly, a survey of available hospital staff complement, equipment and facilities was conducted. Results: The mean lead-time across all service points was 255.6 ± 124.7 minutes and 31.2 ± 35.1 minutes for optometry service. The lead times varied per hospital (p = 0.05). Overall waiting time for spectacles averaged 121.0 ± 181.5 days. All sites had basic optometry equipment, but specialised instruments (eg., fundus camera) were distributed unevenly among sites. The most frequently referred condition was cataract, and the referral time depends on the severity of the condition. Conclusion: Selected hospitals had longer waiting times that exceeded national guidelines for South Africa by an average of 2 hours. Improving capacity on staffing, equipment, patient flow management, and scheduling can reduce waiting times and guarantee more effective service delivery.

Indexed as

lead timeoptometry servicespublic hospitalsrural South Africawaiting time

Identifiers

PMID42206188
PMCPMC13206283

What OpenQuestion holds

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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.