Evidence map›Paper›PMID 37719025›Full record

ArticleClinical optometry2023

The Patients' Perspective for the Impact of Late Detection of Ocular Diseases on Quality of Life: A Cross-Sectional Study.

Ahmed Almazroa, Hessa Almatar, Reema Alduhayan, Maram Albalawi, Mansour Alghamdi, Saja Alhoshan, Suhailah Alamri, Norah Alkanhal, Yara J Alsiwat, Saad Alrabiah and 4 more

Abstract read
In one paragraph

Article in Clinical optometry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
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.

Ahmed AlmazroaDepartment of Imaging Research, King Abdullah International Medical Research Center, Riyadh, Saudi Arabia.ORCID 0000-0002-8854-6344
Hessa AlmatarDepartment of Imaging Research, King Abdullah International Medical Research Center, Riyadh, Saudi Arabia.ORCID 0000-0003-0006-4736
Reema AlduhayanDepartment of Imaging Research, King Abdullah International Medical Research Center, Riyadh, Saudi Arabia.
Maram AlbalawiKing Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.
Mansour AlghamdiDepartment of Optometry and Vision Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia.ORCID 0000-0002-9389-4722
Saja AlhoshanDepartment of Ophthalmology, King Abdulaziz Medical City, Ministry of National Guard-Health Affairs, Riyadh, Saudi Arabia.
Suhailah AlamriDepartment of Imaging Research, King Abdullah International Medical Research Center, Riyadh, Saudi Arabia.
Norah AlkanhalDepartment of Imaging Research, King Abdullah International Medical Research Center, Riyadh, Saudi Arabia.
Yara J AlsiwatDepartment of Imaging Research, King Abdullah International Medical Research Center, Riyadh, Saudi Arabia.
Saad AlrabiahDepartment of Ophthalmology, King Fahad Medical City, Riyadh, Saudi Arabia.
Mohammed AldrghamDepartment of Ophthalmology, King Abdullah bin Abdulaziz University Hospital, Princess Nourah Bint AbdulRahman University, Riyadh, Saudi Arabia.
Ahmed A AlSalehAL-Hokama Eye Specialist Center, Riyadh, Saudi Arabia.
Hessa Abdulrahman AlsanadDepartment of Social Planning, College of Social Work, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
Barrak AlsomaieDepartment of Imaging Research, King Abdullah International Medical Research Center, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Late detection of ocular diseases negatively affects patients' quality of life (QoL), encompassing health status, psychological, financial, and social aspects. However, the early detection of eye conditions leads to rapid intervention and avoiding complications, thus preserving the QoL. This study assessed the impact of ocular diseases late detection on patients' QoL at multi-eye clinics based on questionnaire responses. Methods: We developed an original Arabic-English questionnaire to assess the QoL of patients with ocular diseases referred from primary and secondary healthcare centers to tertiary hospitals. It covered preliminary data, patient perspectives on having lately detected ocular disease and treatment costs, and the impact of late detection on finances, social life, psychology, health status, and awareness of current initiatives. Logistic regression analysis was used to explore the associations between patient perspectives on having ocular diseases detected at a late stage and its impact on different domains. Multivariate logistic regression was applied with impact types of health status, psychological, financial, and social (dependent variables) and age, income levels, and hospital type (independent variables). Results: Three hundred and eighty-eight responded, with 50% experiencing psychological effects, 27% health issues, 23% social impacts, and 23% financial burdens. Two hundred seventeen patients (56%) reported having ocular condition detected in late stage. Logistic regression analysis showed positive association with health status, social well-being, and financial effects (p < 0.05). Multivariate analysis revealed pronounced effects in patients ≤ 50 years, with income \< 5000 SAR, and those visiting private clinics (p < 0.05). The social impact was greater in patients visiting private hospitals. Ninety percent of all patients emphasized the importance of increasing awareness for better QoL. Conclusion: Significant associations were found between the late detection of eye diseases and their impact on QoL. Therefore, early detection and increasing patients' awareness of ocular diseases and treatment are essential.

Indexed as

financial effectsirreversible visionocular diseasesphysiological effectssocial effects

Identifiers

PMID37719025
PMCPMC10503557

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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.