Evidence map›Paper›PMID 40157725›Full record

ArticleBMJ open2025

Social, personal and medical factors influencing treatment delay for patients with primary glaucoma during the COVID-19 pandemic: a qualitative interview study.

Hua Liu, Lina Sun, Yan Li, Wei Liu, Shaochong Bu, Shaohui Huang, Dan Hu, Jing Yan, Tong Bian, Shuang Li and 4 more

Abstract read
In one paragraph

Article in BMJ open, 2025. 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

14 authors.

Hua LiuTianjin Medical University Eye Hospital, Tianjin, China xchy17601@sina.com.ORCID http://orcid.org/0009-0009-1266-3585
Lina SunTianjin Medical University Eye Hospital, Tianjin, China.
Yan LiTianjin Medical University Eye Hospital, Tianjin, China.
Wei LiuTianjin Medical University Eye Hospital, Tianjin, China.
Shaochong BuTianjin Medical University Eye Hospital, Tianjin, China.ORCID http://orcid.org/0000-0002-9060-7361
Shaohui HuangTianjin Medical University Eye Hospital, Tianjin, China.
Dan HuTianjin Medical University Eye Hospital, Tianjin, China.
Jing YanTianjin Medical University Eye Hospital, Tianjin, China.
Tong BianTianjin Medical University Eye Hospital, Tianjin, China.
Shuang LiTianjin Medical University Eye Hospital, Tianjin, China.
Qian LiTianjin Medical University Eye Hospital, Tianjin, China.
Jingyi ShiTianjin Medical University Eye Hospital, Tianjin, China.
Ping ZhouTianjin Medical University Eye Hospital, Tianjin, China.
Yan XingTianjin Medical University Eye Hospital, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrimary glaucoma patients faced many difficulties that affected their treatment during the COVID-19 pandemic. Glaucoma treatment often starts with prescription eye-drops. However, delays in ophthalmic therapy often occur due to poor awareness of the dangers of glaucoma, which subsequently leads to irreversible visual field defects and eventual blindness.

objectiveThis study aimed to explore the social, personal and medical factors that contributed to barriers in the treatment of primary glaucoma during the COVID-19 pandemic, with the overarching goal of providing insights to develop measures that can identify the barriers of the treatment process and prevent consequent adverse outcomes.

methodsWe adopted a phenomenological approach and used purposive sampling to recruit 122 patients into our study. Face-to-face, semistructured, one-on-one interviews were conducted in a private office. The data were analysed using Colaizzi's seven-step method. In cases where classification was difficult, consensus was reached among the three researchers who formed the core assessment team.

resultsA total of 122 glaucoma patients experienced delayed pharmaceutical treatment during the outbreak. Delays were longer among females and patients over 75 years old, highlighting that treatment delays were a significant issue for glaucoma patients during the COVID-19 pandemic, particularly for older females. Coding of the transcripts yielded three themes (eight subthemes): (1) the impact of social support on glaucoma pharmaceutical treatment: (a) the inability to seek pharmaceutical treatment alone and (b) online reservation and payment requirements; (2) the impact of personal reasons on glaucoma pharmaceutical treatment: (c) fear of being infected with COVID-19, (d) being infected with COVID-19 or coming into contact with COVID-19 patients, (e) being busy with work or life; (3) the impact of medical resources on glaucoma pharmaceutical treatment: (f) abnormal diagnosis and treatment processes, (g) insufficient medical manpower and (h) insufficient communication from medical staff.

conclusionsTo prevent medication delays and potential irreversible damage to the visual field in primary glaucoma patients during health crises, it is essential to further explore personalised strategies for coping with the impact of pandemics. Special attention should be given to glaucoma patients facing significant life burdens, such as the elderly and females, and efforts should be made to increase their awareness of the risks of glaucoma. Future studies could explore the feasibility of providing more support to glaucoma patients, such as online payment and appointment scheduling options, to reduce delays and alleviate patient anxiety.

Indexed as

COVID-19GlaucomaTime-to-TreatmentAdultAgedAged, 80 and overFemaleHumansInterviews as TopicMaleMiddle AgedOphthalmic SolutionsPandemicsQualitative ResearchSARS-CoV-2Treatment DelayOphthalmic SolutionsCOVID-19GlaucomaHealth Services

Identifiers

PMID40157725
PMCPMC11956386

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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 Socratic graph.