Assessing the diagnostic validity of a blind register

Background:  To validate the accuracy of clinical ophthalmic information held on the West Australian blind register. Design:  Community-based cross-sectional study. Participants:  Legally blind or severely vision-impaired people were selected randomly from the Association for the Blind of Western Au...

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Main Authors: Crewe, Julie, Morgan, W., Morlet, Nigel, Spilsbury, Katrina, Mukhtar, Syed Aqif, Clark, Antony, Ng, Jonathon, Crowley, Margaret, Semmens, James
Format: Journal Article
Published: Wiley-Blackwell Publishing Asia 2011
Online Access:http://hdl.handle.net/20.500.11937/5920
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author Crewe, Julie
Morgan, W.
Morlet, Nigel
Spilsbury, Katrina
Mukhtar, Syed Aqif
Clark, Antony
Ng, Jonathon
Crowley, Margaret
Semmens, James
author_facet Crewe, Julie
Morgan, W.
Morlet, Nigel
Spilsbury, Katrina
Mukhtar, Syed Aqif
Clark, Antony
Ng, Jonathon
Crowley, Margaret
Semmens, James
author_sort Crewe, Julie
building Curtin Institutional Repository
collection Online Access
description Background:  To validate the accuracy of clinical ophthalmic information held on the West Australian blind register. Design:  Community-based cross-sectional study. Participants:  Legally blind or severely vision-impaired people were selected randomly from the Association for the Blind of Western Australia register. Methods:  Individuals were reviewed by one of two consultant ophthalmologists. Main Outcome Measures:  The positive predictive value (ppv), sensitivity and specificity for legal blindness status and diagnostic causes of vision loss were calculated using data extracted from the Association for the Blind of Western Australia blind register. Results:  273 blind or near blind people were reviewed from the register total of 4271 individuals. There were more women (57%) than men, median age 81 years. For legal blindness status the ppv was 0.88 (95% confidence interval [CI] 0.82–0.92), sensitivity 0.75 (95% CI 0.74–0.84) and specificity 0.6 (95% CI 0.46–0.73). The ppv for the diagnostic causes of blindness were: age-related macular degeneration = 0.95 (95% CI 0.91–0.97), retinitis pigmentosa ppv = 1 (95% CI 0.81–1.0), diabetic retinopathy ppv = 0.9 (95% CI 0.57–0.99), optic neuropathies ppv = 0.77 (95% CI 0.51–0.92) and glaucoma ppv = 0.87 (95% CI 0.7–0.96). Forty individuals (15%) had treatable conditions contributing to their vision loss. Conclusions:  The blind register diagnoses and legal blindness status are of high accuracy. This information allows useful linkages to other databases for studies of blindness interactions. A regular updating mechanism would improve the future accuracy of this valuable regional asset. The presence of untreated cataract suggests that regular follow up and appropriate treatment may help optimize vision in blind patients.
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institution Curtin University Malaysia
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publishDate 2011
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spelling curtin-20.500.11937-59202017-09-13T14:39:53Z Assessing the diagnostic validity of a blind register Crewe, Julie Morgan, W. Morlet, Nigel Spilsbury, Katrina Mukhtar, Syed Aqif Clark, Antony Ng, Jonathon Crowley, Margaret Semmens, James Background:  To validate the accuracy of clinical ophthalmic information held on the West Australian blind register. Design:  Community-based cross-sectional study. Participants:  Legally blind or severely vision-impaired people were selected randomly from the Association for the Blind of Western Australia register. Methods:  Individuals were reviewed by one of two consultant ophthalmologists. Main Outcome Measures:  The positive predictive value (ppv), sensitivity and specificity for legal blindness status and diagnostic causes of vision loss were calculated using data extracted from the Association for the Blind of Western Australia blind register. Results:  273 blind or near blind people were reviewed from the register total of 4271 individuals. There were more women (57%) than men, median age 81 years. For legal blindness status the ppv was 0.88 (95% confidence interval [CI] 0.82–0.92), sensitivity 0.75 (95% CI 0.74–0.84) and specificity 0.6 (95% CI 0.46–0.73). The ppv for the diagnostic causes of blindness were: age-related macular degeneration = 0.95 (95% CI 0.91–0.97), retinitis pigmentosa ppv = 1 (95% CI 0.81–1.0), diabetic retinopathy ppv = 0.9 (95% CI 0.57–0.99), optic neuropathies ppv = 0.77 (95% CI 0.51–0.92) and glaucoma ppv = 0.87 (95% CI 0.7–0.96). Forty individuals (15%) had treatable conditions contributing to their vision loss. Conclusions:  The blind register diagnoses and legal blindness status are of high accuracy. This information allows useful linkages to other databases for studies of blindness interactions. A regular updating mechanism would improve the future accuracy of this valuable regional asset. The presence of untreated cataract suggests that regular follow up and appropriate treatment may help optimize vision in blind patients. 2011 Journal Article http://hdl.handle.net/20.500.11937/5920 10.1111/j.1442-9071.2011.02509.x Wiley-Blackwell Publishing Asia restricted
spellingShingle Crewe, Julie
Morgan, W.
Morlet, Nigel
Spilsbury, Katrina
Mukhtar, Syed Aqif
Clark, Antony
Ng, Jonathon
Crowley, Margaret
Semmens, James
Assessing the diagnostic validity of a blind register
title Assessing the diagnostic validity of a blind register
title_full Assessing the diagnostic validity of a blind register
title_fullStr Assessing the diagnostic validity of a blind register
title_full_unstemmed Assessing the diagnostic validity of a blind register
title_short Assessing the diagnostic validity of a blind register
title_sort assessing the diagnostic validity of a blind register
url http://hdl.handle.net/20.500.11937/5920