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Community Eye Health. 2022;35(114):17-18. Epub 2022 Jun 7.
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Smartphone-Guided Algorithms for Use by Community Volunteers to Screen and Refer People With Eye Problems in Trans Nzoia County, Kenya: Development and Validation Study.肯尼亚特诺阿县社区志愿者使用智能手机指导算法筛查和转介眼部疾病患者：开发和验证研究。
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本文引用的文献

1
Effectiveness of an mHealth system on access to eye health services in Kenya: a cluster-randomised controlled trial.移动医疗系统对肯尼亚获取眼保健服务的效果：一项集群随机对照试验。
Lancet Digit Health. 2021 Jul;3(7):e414-e424. doi: 10.1016/S2589-7500(21)00083-2.
2
Smartphone-Guided Algorithms for Use by Community Volunteers to Screen and Refer People With Eye Problems in Trans Nzoia County, Kenya: Development and Validation Study.肯尼亚特诺阿县社区志愿者使用智能手机指导算法筛查和转介眼部疾病患者：开发和验证研究。
JMIR Mhealth Uhealth. 2020 Jun 19;8(6):e16345. doi: 10.2196/16345.
3
Smartphone-based screening for visual impairment in Kenyan school children: a cluster randomised controlled trial.基于智能手机的肯尼亚在校儿童视力障碍筛查：一项整群随机对照试验。
Lancet Glob Health. 2018 Aug;6(8):e924-e932. doi: 10.1016/S2214-109X(18)30244-4.
4
Development and Validation of a Smartphone-Based Visual Acuity Test (Peek Acuity) for Clinical Practice and Community-Based Fieldwork.用于临床实践和社区实地工作的基于智能手机的视力测试（Peek视力）的开发与验证
JAMA Ophthalmol. 2015 Aug;133(8):930-7. doi: 10.1001/jamaophthalmol.2015.1468.

Overcoming the challenges of access to eye care through mHealth in Kenya.

作者信息

Rono Hillary, Kimetto Lily

机构信息

Ophthalmologist: Kitale County and Referral Hospital, Kitale, Kenya and a consultant at Peek Vision, UK.

Optometrist: Bethsaida Eye Centre, Kitale, Kenya.

出版信息

Community Eye Health. 2022;35(114):17-18. Epub 2022 Jun 7.

PMID:36035099
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9412096/
Abstract
摘要