A cross-sectional study investigating the prevalence and causes of vision impairment in Northwest Portugal using capture-recapture Article Swipe
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· 2021
· Open Access
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· DOI: https://doi.org/10.1101/2021.07.06.21260069
Objectives The aim of this study was to estimate the prevalence and causes of vision impairment (VI) in Portugal. Setting Information about people with VI was obtained from Primary Care Centres, blind association (ACAPO) and from hospitals (the PCVIP-study) in the Northwest of Portugal during a period spanning years 2014-2015. Causes of VI were obtained from hospitals. Participants Administrative and medical records of people with visual acuity in the better seeing eye of 0.5 decimal (0.30logMAR) or worse and/or visual field less than 20 degrees were investigated. Capture-recapture with log-linear models was applied to estimate the number of individuals missing from lists of cases obtained from available sources. Primary and secondary outcome measures Log-linear models were used to estimate the crude prevalence and the category specific prevalence of VI. Results Crude prevalence of VI was 1.97% (95%CI=1.56-2.54), and standardized prevalence was 1% (95%CI=0.78-1.27). The age-specific prevalence was 3.27% (95% CI=2.36-4.90), older than 64 years, 0.64% (95%CI=0.49-0.88), aged 25-64 years, and 0.07% (95%CI=0.045-0.13), aged less than 25 years. The female-to-male ratio was1.3, that is, higher prevalence amongst females. The five leading causes of VI were Diabetic Retinopathy, Cataract, Age-related Macular Degeneration, Glaucoma and Disorders of the Globe. Conclusions The prevalence of VI in Portugal was within the expected range and in line with other European countries. A significant number of cases of VI might be due to preventable cases and, therefore, a reduction of the prevalence of VI in Portugal seems possible. Women and old people were more likely to have VI and, therefore, these groups require extra attention. Future studies are necessary to characterize temporal changes in prevalence of VI in Portugal. Strengths and limitations of this study Medical records and registers of people with vision impairment were used to determine the number of cases in these sources. Data from 3 sources (lists) with records about people with vision impairment were combined using log-linear models to determine the number of “uncaptured” cases. Capture-recapture methods were used to determine the prevalence of vision impairment in the Northwest Portugal. Capture-recapture methods to compute prevalence are more accurate than pure case counting from lists and more affordable than cross-sectional studies. A limitation of the current study was the low completeness, that is, the number of cases captured compared with the number of uncaptured cases.
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- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2021.07.06.21260069
- https://www.medrxiv.org/content/medrxiv/early/2022/08/01/2021.07.06.21260069.full.pdf
- OA Status
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- Cited By
- 1
- References
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- Related Works
- 10
- OpenAlex ID
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https://openalex.org/W3178379776Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1101/2021.07.06.21260069Digital Object Identifier
- Title
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A cross-sectional study investigating the prevalence and causes of vision impairment in Northwest Portugal using capture-recaptureWork title
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-07-07Full publication date if available
- Authors
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Pedro Lima Ramos, Rui Santana, Ana Patrícia Marques, Inês Sousa, Amândio Rocha‐Sousa, António Filipe MacedoList of authors in order
- Landing page
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https://doi.org/10.1101/2021.07.06.21260069Publisher landing page
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https://www.medrxiv.org/content/medrxiv/early/2022/08/01/2021.07.06.21260069.full.pdfDirect link to full text PDF
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greenOpen access status per OpenAlex
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https://www.medrxiv.org/content/medrxiv/early/2022/08/01/2021.07.06.21260069.full.pdfDirect OA link when available
- Concepts
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Medicine, Visual impairment, Demography, Cross-sectional study, Glaucoma, Macular degeneration, Diabetic retinopathy, Visual acuity, Prevalence, Epidemiology, Optometry, Ophthalmology, Diabetes mellitus, Internal medicine, Endocrinology, Psychiatry, Sociology, PathologyTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2022: 1Per-year citation counts (last 5 years)
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61Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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