Gender and eye care: Evidence of the problem and solutions Paul Courtright, DrPH Kilimanjaro Centre...
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Transcript of Gender and eye care: Evidence of the problem and solutions Paul Courtright, DrPH Kilimanjaro Centre...
Gender and eye care: Evidence of the problem and
solutions
Paul Courtright, DrPH
Kilimanjaro Centre for Community Ophthalmology
Cape Town, South Africa & Moshi, Tanzania
(www.kcco.net)
Why are we here?
Women account for 2 out of 3 blind people….
…if we are to achieve VISION 2020 we must address eye care needs of
women
A bit of history….Understanding the problem & generating the evidence
for action1. Systematic review of literature & meta-analysis
2. Analysis of potential reasons for differences in blindness figures
3. Disease specific assessments (including measuring service utilization)
4. Implementing strategies to address the issues
Findings from meta-analysis of 70 population based surveys
(published between 1980-2000)
Age-adjusted odds of blindness in women compared to men
– Africa: 1.39 (1.2-1.6)– Asia: 1.41 (1.3-1.6)– Industrialised: 1.63 (1.3-2.1)
– Overall: 1.43 (1.3-1.5)
Abou-Gareeb et al. Ophthal Epidem. 2001;8:39-56.
What about the last 12 years?
• Large national surveys (Ethiopia, Pakistan, Bangladesh & Nigeria)
• Rapid Assessment of Avoidable Blindness (RAAB) surveys (about 28 in Africa)
• Indian (state) RAAB surveys
• Latin American RAAB surveys
Analysis of potential reasons for gender disparity
• Longer life expectancy in women – Women live longer and blindness is associated with
increasing age.– However, age-specific rates of blindness show female
excess in most age groups
• Different risk for acquiring eye diseases– Slightly higher incidence of cataract among women– Higher incidence of trachomatous trichiasis among
women
• Unequal utilisation of eye care services– Cataract, trachoma, congenital/ developmental cataract
Cataract Surgical Coverage (2002-8)
0%20%
40%60%
80%100%
Males Females
** CSC calculated at 6/60
Lewallen et al, BJO 2009;93:295-8
CSC (by person) for men & women at <3/60 (ranked by highest to lowest overall CSC)
-15-10-505
101520253035
Sudan
(N)
Kenya
(Nak
uru)
Kenya
(Kwal
e)
Sudan
(W N
ile)
Sudan
(Sen
)
Tz (Kili)
Ugand
a (N
tug)
Eritre
a
Mad
agas
(Atsi
n)
Sudan
(N K
hor)
Sudan
(Kas
s)
TZ (Z
anz)
Mal
i (Kou
l)
Kenya
(S N
yan)
Rwanda
(W)
Mal
awi
RSA (E C
ape)
Burun
di (N
)
Difference
Higher in men
Higher in women
Why are women less likely to have surgery?
• Perceived need for eye care different
• Willingness to assume a “sick” role
• Financial decision-making in the family
• Inexperience in traveling outside the village
• Social support lacking
Key strategies for cataract
• Transport to hospital
• Counseling of family members
• Women-to-women contact
Childhood blindness
• Vitamin A/measles related corneal opacities now rare
• Retinal/optic nerve conditions increasing
• Childhood cataract– Congenital– Developmental– Traumatic
Still too few girls getting surgery
0
10
20
30
40
50
60
70
80
Malawi Kenya TanzaniaKCMC &CCBRT
India
GirlsBoys
Children receiving surgery for congenital/developmental cataract at tertiary eye hospitals
Surveys represent burden of TT globally?
• Total survey sample = 43,677– Men = 19,392– Women = 24,285
• People with TT = 9,564– Men = 2,826 (29.5%)– Women = 6,738 (70.5%)
Men
Women
How do we reduce gender inequity?
A disease specific approach?
•Cataract
•Trachoma
•Childhood blindness
A service delivery approach?
•Interacting at the community level
•Changing our eye care facilities
•Bridging communities and facilities
How do we reduce gender inequity?
A disease specific approach?
•Cataract
•Trachoma
•Childhood blindness
A service delivery approach?
•Interacting at the community level
•Changing our eye care facilities
•Bridging communities and facilities