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Dr Alison Bruce
Bradford Teaching Hospitals NHS Foundation Trust
Funding Acknowledgement:
Dr Alison Bruce is funded by the National Institute
for Health Research Post-doctoral fellowship
Programme (NIHR PDF).
This presentation presents independent research.
The views expressed are those of the author(s) and
not necessarily those of the NHS, the NIHR or the
Department of Health.
Normal vision
Untreated
Amblyopia
Vision age 1
Vision age 7
Age in years
Treated
Amblyopia
Bruce and Outhwaite Br Ir Orth J 2013
 “Need for more precise estimates of the
prevalence of amblyopia”
 Evidence of impact on everyday life
 What factors associated with amblyopia?
 What are the reasons for failing to attend?
 What impact of amblyopia on educational
attainment ?
Study nested in
“Born in Bradford Cohort”
 Bradford 5th
largest
 8th
most deprived city in UK
 Children born 2007 – 2010
 Approx 13,000
 60% children born
 50% South Asian origin
 Predictor of reading ability & educational
attainment
 Letter identification & decoding essential prior to
reading
 Woodcock Reading Mastery Tests: Letter ID
 Household income
 Mothers education
 Spoken Language
School
screening
Visual
outcome
BiB
profile of
non-
attenders
Eye clinics
Attendance
rates
 BiB epidemiological data (mothers & babies)
(n=11000)
 Vision screening in school @ 4-5 years
(n=17000)
 Literacy (BiB Starting Schools programme)
(n=6000)
Summary of data
c = complete cohort, s = subgroup
  Pregnancy Birth 4-5yrs
Ethnicity C
Mothers SE class C
Mothers education C
Housing tenure C
Money problems C
Smoked in pregnancy C
Alcohol in pregnancy C
Gestational age C
Birth weight C
Visual acuity (logMAR) C
Strabismus C
Auto-refraction C
Literacy (letter identification) S
Cognitive ability (receptive vocabulary) S
Impact of vision on literacy
FACTOR FULLY ADJUSTED MODEL*** (n=2025)
PVA - difference in literacy score per 1 line (0.1 log unit) -1.65 (-2.17 to -1.13) p<0.001
BPVS - difference in literacy score per 1 unit 0.25 (0.21 to 0 .28) p<0.001
Ethnicity (ref - White British)
Pakistani -0.14 (-1.86 to 1.58) p= 0.872
Other 2.85 (0.88 to 4.82) p=0.005
Sex at birth (ref – Male)
Female 3.06 (2.09 to 4.04) p<0.001
Birth weight (g) 0.001 (0.0001 to 0.002) p=0.036
Gestational age (weeks) -0.01 (-0.37 to 0.34) p=0.937
Questionnaire Language (ref – English)
Other language -1.61 (-3.18 to -0.04) p= 0.045
UK born (ref – No)
Yes -0.97 (-0.49 to 2.43) p= 0.192
Receiving Benefits
Yes -1.03 (-2.04 to -0.03) p=0.045
Level of Education (ref – Low)
Medium (5 GCSE & A level equivalent) 1.13 (-0.04 to 2.3) p=0.059
High (higher than A-level) 3.20 (1.71 to 4.70) p<0.001
Smoked in pregnancy (ref – No)
Yes -1.82 (0.25 to 3.39) p=0.023
Impact of vision on literacy
FACTOR FULLY ADJUSTED MODEL*** (n=2025)
PVA - difference in literacy score per 1 line (0.1 log unit) -1.65 (-2.17 to -1.13) p<0.001
BPVS - difference in literacy score per 1 unit 0.25 (0.21 to 0 .28) p<0.001
Ethnicity (ref - White British)
Pakistani -0.14 (-1.86 to 1.58) p= 0.872
Other 2.85 (0.88 to 4.82) p=0.005
Sex at birth (ref – Male)
Female 3.06 (2.09 to 4.04) p<0.001
Birth weight (g) 0.001 (0.0001 to 0.002) p=0.036
Gestational age (weeks) -0.01 (-0.37 to 0.34) p=0.937
Questionnaire Language (ref – English)
Other language -1.61 (-3.18 to -0.04) p= 0.045
UK born (ref – No)
Yes -0.97 (-0.49 to 2.43) p= 0.192
Receiving Benefits
Yes -1.03 (-2.04 to -0.03) p=0.045
Level of Education (ref – Low)
Medium (5 GCSE & A level equivalent) 1.13 (-0.04 to 2.3) p=0.059
High (higher than A-level) 3.20 (1.71 to 4.70) p<0.001
Smoked in pregnancy (ref – No)
Yes -1.82 (0.25 to 3.39) p=0.023
Impact of vision on literacy
FACTOR FULLY ADJUSTED MODEL*** (n=2025)
PVA - difference in literacy score per 1 line (0.1 log unit) -1.65 (-2.17 to -1.13) p<0.001
BPVS - difference in literacy score per 1 unit 0.25 (0.21 to 0 .28) p<0.001
Ethnicity (ref - White British)
Pakistani -0.14 (-1.86 to 1.58) p= 0.872
Other 2.85 (0.88 to 4.82) p=0.005
Sex at birth (ref – Male)
Female 3.06 (2.09 to 4.04) p<0.001
Birth weight (g) 0.001 (0.0001 to 0.002) p=0.036
Gestational age (weeks) -0.01 (-0.37 to 0.34) p=0.937
Questionnaire Language (ref – English)
Other language -1.61 (-3.18 to -0.04) p= 0.045
UK born (ref – No)
Yes -0.97 (-0.49 to 2.43) p= 0.192
Receiving Benefits
Yes -1.03 (-2.04 to -0.03) p=0.045
Level of Education (ref – Low)
Medium (5 GCSE & A level equivalent) 1.13 (-0.04 to 2.3) p=0.059
High (higher than A-level) 3.20 (1.71 to 4.70) p<0.001
Smoked in pregnancy (ref – No)
Yes -1.82 (0.25 to 3.39) p=0.023
Impact of vision on literacy
FACTOR FULLY ADJUSTED MODEL*** (n=2025)
PVA - difference in literacy score per 1 line (0.1 log unit) -1.65 (-2.17 to -1.13) p<0.001
BPVS - difference in literacy score per 1 unit 0.25 (0.21 to 0 .28) p<0.001
Ethnicity (ref - White British)
Pakistani -0.14 (-1.86 to 1.58) p= 0.872
Other 2.85 (0.88 to 4.82) p=0.005
Sex at birth (ref – Male)
Female 3.06 (2.09 to 4.04) p<0.001
Birth weight (g) 0.001 (0.0001 to 0.002) p=0.036
Gestational age (weeks) -0.01 (-0.37 to 0.34) p=0.937
Questionnaire Language (ref – English)
Other language -1.61 (-3.18 to -0.04) p= 0.045
UK born (ref – No)
Yes -0.97 (-0.49 to 2.43) p= 0.192
Receiving Benefits
Yes -1.03 (-2.04 to -0.03) p=0.045
Level of Education (ref – Low)
Medium (5 GCSE & A level equivalent) 1.13 (-0.04 to 2.3) p=0.059
High (higher than A-level) 3.20 (1.71 to 4.70) p<0.001
Smoked in pregnancy (ref – No)
Yes -1.82 (0.25 to 3.39) p=0.023
Impact of vision on literacy
FACTOR FULLY ADJUSTED MODEL*** (n=2025)
PVA - difference in literacy score per 1 line (0.1 log unit) -1.65 (-2.17 to -1.13) p<0.001
BPVS - difference in literacy score per 1 unit 0.25 (0.21 to 0 .28) p<0.001
Ethnicity (ref - White British)
Pakistani -0.14 (-1.86 to 1.58) p= 0.872
Other 2.85 (0.88 to 4.82) p=0.005
Sex at birth (ref – Male)
Female 3.06 (2.09 to 4.04) p<0.001
Birth weight (g) 0.001 (0.0001 to 0.002) p=0.036
Gestational age (weeks) -0.01 (-0.37 to 0.34) p=0.937
Questionnaire Language (ref – English)
Other language -1.61 (-3.18 to -0.04) p= 0.045
UK born (ref – No)
Yes -0.97 (-0.49 to 2.43) p= 0.192
Receiving Benefits
Yes -1.03 (-2.04 to -0.03) p=0.045
Level of Education (ref – Low)
Medium (5 GCSE & A level equivalent) 1.13 (-0.04 to 2.3) p=0.059
High (higher than A-level) 3.20 (1.71 to 4.70) p<0.001
Smoked in pregnancy (ref – No)
Yes -1.82 (0.25 to 3.39) p=0.023
@BiBresearch, @BiBparents
Conference #BiB15
Born in Bradford
Registered charity no: 1061753
Prevalence
of PVA
1.0 (6/60)
2 % 0.8 (6/36)
0.5 (6/24)
2 % 0.4 (6/18)
0.3 (6/12)
4 % 0.2 (6/9)
92 % 0.0 (6/6)
 Reduced vision effects early literacy
(score 2% every 1 line reduction in vision: CI -2.17 to -1.13 p<0.001)
 2% children “poor vision”
 2% children “visual impaired”
 Better understanding of amblyopia
 Evidence of effect on early literacy in children
 Proposed service re-design to improve uptake
 Platform for further research
 Insight from parents & carers
 Develop interventions
 Trial
Acknowledgments
•Orthoptic Dept. Bradford Teaching Hospitals NHS
Trust
•Born in Bradford
•Institute for Effective Education - University of York
alison.bruce@bthft.nhs.uk

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CAHPO 2016. Workshop 5: Alison Bruce

  • 1. Dr Alison Bruce Bradford Teaching Hospitals NHS Foundation Trust
  • 2. Funding Acknowledgement: Dr Alison Bruce is funded by the National Institute for Health Research Post-doctoral fellowship Programme (NIHR PDF). This presentation presents independent research. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health.
  • 3.
  • 4. Normal vision Untreated Amblyopia Vision age 1 Vision age 7 Age in years Treated Amblyopia
  • 5. Bruce and Outhwaite Br Ir Orth J 2013
  • 6.  “Need for more precise estimates of the prevalence of amblyopia”  Evidence of impact on everyday life
  • 7.  What factors associated with amblyopia?  What are the reasons for failing to attend?  What impact of amblyopia on educational attainment ? Study nested in “Born in Bradford Cohort”
  • 8.  Bradford 5th largest  8th most deprived city in UK  Children born 2007 – 2010  Approx 13,000  60% children born  50% South Asian origin
  • 9.  Predictor of reading ability & educational attainment  Letter identification & decoding essential prior to reading  Woodcock Reading Mastery Tests: Letter ID
  • 10.  Household income  Mothers education  Spoken Language
  • 12.
  • 13.  BiB epidemiological data (mothers & babies) (n=11000)  Vision screening in school @ 4-5 years (n=17000)  Literacy (BiB Starting Schools programme) (n=6000)
  • 14. Summary of data c = complete cohort, s = subgroup   Pregnancy Birth 4-5yrs Ethnicity C Mothers SE class C Mothers education C Housing tenure C Money problems C Smoked in pregnancy C Alcohol in pregnancy C Gestational age C Birth weight C Visual acuity (logMAR) C Strabismus C Auto-refraction C Literacy (letter identification) S Cognitive ability (receptive vocabulary) S
  • 15. Impact of vision on literacy FACTOR FULLY ADJUSTED MODEL*** (n=2025) PVA - difference in literacy score per 1 line (0.1 log unit) -1.65 (-2.17 to -1.13) p<0.001 BPVS - difference in literacy score per 1 unit 0.25 (0.21 to 0 .28) p<0.001 Ethnicity (ref - White British) Pakistani -0.14 (-1.86 to 1.58) p= 0.872 Other 2.85 (0.88 to 4.82) p=0.005 Sex at birth (ref – Male) Female 3.06 (2.09 to 4.04) p<0.001 Birth weight (g) 0.001 (0.0001 to 0.002) p=0.036 Gestational age (weeks) -0.01 (-0.37 to 0.34) p=0.937 Questionnaire Language (ref – English) Other language -1.61 (-3.18 to -0.04) p= 0.045 UK born (ref – No) Yes -0.97 (-0.49 to 2.43) p= 0.192 Receiving Benefits Yes -1.03 (-2.04 to -0.03) p=0.045 Level of Education (ref – Low) Medium (5 GCSE & A level equivalent) 1.13 (-0.04 to 2.3) p=0.059 High (higher than A-level) 3.20 (1.71 to 4.70) p<0.001 Smoked in pregnancy (ref – No) Yes -1.82 (0.25 to 3.39) p=0.023
  • 16. Impact of vision on literacy FACTOR FULLY ADJUSTED MODEL*** (n=2025) PVA - difference in literacy score per 1 line (0.1 log unit) -1.65 (-2.17 to -1.13) p<0.001 BPVS - difference in literacy score per 1 unit 0.25 (0.21 to 0 .28) p<0.001 Ethnicity (ref - White British) Pakistani -0.14 (-1.86 to 1.58) p= 0.872 Other 2.85 (0.88 to 4.82) p=0.005 Sex at birth (ref – Male) Female 3.06 (2.09 to 4.04) p<0.001 Birth weight (g) 0.001 (0.0001 to 0.002) p=0.036 Gestational age (weeks) -0.01 (-0.37 to 0.34) p=0.937 Questionnaire Language (ref – English) Other language -1.61 (-3.18 to -0.04) p= 0.045 UK born (ref – No) Yes -0.97 (-0.49 to 2.43) p= 0.192 Receiving Benefits Yes -1.03 (-2.04 to -0.03) p=0.045 Level of Education (ref – Low) Medium (5 GCSE & A level equivalent) 1.13 (-0.04 to 2.3) p=0.059 High (higher than A-level) 3.20 (1.71 to 4.70) p<0.001 Smoked in pregnancy (ref – No) Yes -1.82 (0.25 to 3.39) p=0.023
  • 17. Impact of vision on literacy FACTOR FULLY ADJUSTED MODEL*** (n=2025) PVA - difference in literacy score per 1 line (0.1 log unit) -1.65 (-2.17 to -1.13) p<0.001 BPVS - difference in literacy score per 1 unit 0.25 (0.21 to 0 .28) p<0.001 Ethnicity (ref - White British) Pakistani -0.14 (-1.86 to 1.58) p= 0.872 Other 2.85 (0.88 to 4.82) p=0.005 Sex at birth (ref – Male) Female 3.06 (2.09 to 4.04) p<0.001 Birth weight (g) 0.001 (0.0001 to 0.002) p=0.036 Gestational age (weeks) -0.01 (-0.37 to 0.34) p=0.937 Questionnaire Language (ref – English) Other language -1.61 (-3.18 to -0.04) p= 0.045 UK born (ref – No) Yes -0.97 (-0.49 to 2.43) p= 0.192 Receiving Benefits Yes -1.03 (-2.04 to -0.03) p=0.045 Level of Education (ref – Low) Medium (5 GCSE & A level equivalent) 1.13 (-0.04 to 2.3) p=0.059 High (higher than A-level) 3.20 (1.71 to 4.70) p<0.001 Smoked in pregnancy (ref – No) Yes -1.82 (0.25 to 3.39) p=0.023
  • 18. Impact of vision on literacy FACTOR FULLY ADJUSTED MODEL*** (n=2025) PVA - difference in literacy score per 1 line (0.1 log unit) -1.65 (-2.17 to -1.13) p<0.001 BPVS - difference in literacy score per 1 unit 0.25 (0.21 to 0 .28) p<0.001 Ethnicity (ref - White British) Pakistani -0.14 (-1.86 to 1.58) p= 0.872 Other 2.85 (0.88 to 4.82) p=0.005 Sex at birth (ref – Male) Female 3.06 (2.09 to 4.04) p<0.001 Birth weight (g) 0.001 (0.0001 to 0.002) p=0.036 Gestational age (weeks) -0.01 (-0.37 to 0.34) p=0.937 Questionnaire Language (ref – English) Other language -1.61 (-3.18 to -0.04) p= 0.045 UK born (ref – No) Yes -0.97 (-0.49 to 2.43) p= 0.192 Receiving Benefits Yes -1.03 (-2.04 to -0.03) p=0.045 Level of Education (ref – Low) Medium (5 GCSE & A level equivalent) 1.13 (-0.04 to 2.3) p=0.059 High (higher than A-level) 3.20 (1.71 to 4.70) p<0.001 Smoked in pregnancy (ref – No) Yes -1.82 (0.25 to 3.39) p=0.023
  • 19. Impact of vision on literacy FACTOR FULLY ADJUSTED MODEL*** (n=2025) PVA - difference in literacy score per 1 line (0.1 log unit) -1.65 (-2.17 to -1.13) p<0.001 BPVS - difference in literacy score per 1 unit 0.25 (0.21 to 0 .28) p<0.001 Ethnicity (ref - White British) Pakistani -0.14 (-1.86 to 1.58) p= 0.872 Other 2.85 (0.88 to 4.82) p=0.005 Sex at birth (ref – Male) Female 3.06 (2.09 to 4.04) p<0.001 Birth weight (g) 0.001 (0.0001 to 0.002) p=0.036 Gestational age (weeks) -0.01 (-0.37 to 0.34) p=0.937 Questionnaire Language (ref – English) Other language -1.61 (-3.18 to -0.04) p= 0.045 UK born (ref – No) Yes -0.97 (-0.49 to 2.43) p= 0.192 Receiving Benefits Yes -1.03 (-2.04 to -0.03) p=0.045 Level of Education (ref – Low) Medium (5 GCSE & A level equivalent) 1.13 (-0.04 to 2.3) p=0.059 High (higher than A-level) 3.20 (1.71 to 4.70) p<0.001 Smoked in pregnancy (ref – No) Yes -1.82 (0.25 to 3.39) p=0.023
  • 20. @BiBresearch, @BiBparents Conference #BiB15 Born in Bradford Registered charity no: 1061753 Prevalence of PVA 1.0 (6/60) 2 % 0.8 (6/36) 0.5 (6/24) 2 % 0.4 (6/18) 0.3 (6/12) 4 % 0.2 (6/9) 92 % 0.0 (6/6)
  • 21.  Reduced vision effects early literacy (score 2% every 1 line reduction in vision: CI -2.17 to -1.13 p<0.001)  2% children “poor vision”  2% children “visual impaired”
  • 22.  Better understanding of amblyopia  Evidence of effect on early literacy in children  Proposed service re-design to improve uptake  Platform for further research
  • 23.  Insight from parents & carers  Develop interventions  Trial
  • 24.
  • 25. Acknowledgments •Orthoptic Dept. Bradford Teaching Hospitals NHS Trust •Born in Bradford •Institute for Effective Education - University of York alison.bruce@bthft.nhs.uk