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1.
BMC Prim Care ; 25(1): 250, 2024 Jul 10.
Artigo em Inglês | MEDLINE | ID: mdl-38987673

RESUMO

BACKGROUND: The purpose of this study was to quantify how much of the burden of visual impairment (VI) and unmet need in Talagang, identified by Rapid Assessment of Avoidable Blindness (RAAB) survey data, has been addressed by Community Eye Health (CEH) programme efforts. METHODS: A RAAB survey was carried out in November 2018, with 2,824 participants in Talagang Tehsil, Punjab, Pakistan, aged 50 and over. Census data were used to extrapolate survey data to the population. Alongside this, a CEH programme was launched, consisting of community eye screening, and onward referral to rural health centres, secondary or tertiary ophthalmological services, as required. This health intervention aimed to address the eye care needs surfaced by the initial survey. From 2018 to 2022, 30,383 people aged 50 or over were screened; 14,054 needed referral to further steps of the treatment pathway and more detailed data collection. Programme data were compared to estimates of population unmet needs. Main outcome measures were prevalence of VI, and proportion of need met by CEH Programme, by cause and level of VI. RESULTS: Among those aged 50 and over, 51.0% had VI in at least one eye. The leading causes were cataract (46.2%) and uncorrected refractive error (URE) (25.0%). In its first four years, the programme reached an estimated 18.3% of the unmet need from cataract, and 21.1% of URE, equally in both men and women. CONCLUSIONS: Robustly collected survey and programme data can improve eye health planning, monitoring and evaluation, address inequities, and quantify the resources required for improving eye health. This study quantifies the time required to reach eye health needs at the community level.


Assuntos
Cegueira , Humanos , Paquistão/epidemiologia , Cegueira/epidemiologia , Cegueira/prevenção & controle , Cegueira/etiologia , Pessoa de Meia-Idade , Feminino , Masculino , Idoso , Prevalência , Erros de Refração/epidemiologia , Erros de Refração/diagnóstico , Necessidades e Demandas de Serviços de Saúde , Catarata/epidemiologia , Seleção Visual/métodos , Encaminhamento e Consulta/estatística & dados numéricos
2.
Ophthalmic Epidemiol ; 27(6): 429-437, 2020 12.
Artigo em Inglês | MEDLINE | ID: mdl-32449411

RESUMO

PURPOSE: Prevalence of visual impairment (VI) and access to services can vary significantly across and between different population groups. With renewed focus on universal health coverage and leaving no one behind, it is important to understand factors driving inequitable eye health. This paper presents results from five population-based surveys where prevalence of VI and cataract surgical coverage (CSC) were measured and examined for differences by sex, economic-status, and disability. METHODS: Rapid assessments of avoidable blindness took place in four rural sites: Kalahandi, Jhabua and Sitapur in India; and Singida, Tanzania; and one urban site: Lahore, Pakistan. In addition, the Equity Tool was used to measure economic status and the Washington Group Short Set was used to measure disability. Prevalence of VI and CSC were calculated and associations with sex, disability, and relative wealth examined. RESULTS: Prevalence of VI varied from 1.9% in Lahore to 15.0% in Kalahandi. CSC varied from 39.1% in Singida to 84.0% in Lahore. Additional disability was associated with greater levels of VI in all sites and lower CSC in Singida. Being female was associated with higher VI in Kalahandi, Lahore and Singida and lower CSC in Lahore and Singida. Being poorer was associated with higher VI in Singida and lower CSC in Singida and Sitapur. CONCLUSION: Relationships between VI and relative wealth, sex, and disability are complex and variable. Although certain characteristics may be associated with lower coverage or worse outcomes, they cannot be generalized and local data are vital to tailor services to achieve good coverage.


Assuntos
Extração de Catarata , Catarata , Baixa Visão , Cegueira , Estudos Transversais , Status Econômico , Feminino , Humanos , Índia , Paquistão , Prevalência , Tanzânia
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