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1.
Improvement studies for equitable and evidence-based innovation: an overview of the 'IM-SEEN' model.
Int J Equity Health
; 22(1): 116, 2023 Jun 17.
Artículo
en Inglés
| MEDLINE | ID: mdl-37330480
2.
Near vision data and near correction requirements from community eye health programmes in nine countries.
Eye (Lond)
; 2024 Jan 22.
Artículo
en Inglés
| MEDLINE | ID: mdl-38253866
3.
The Rapid Assessment of Avoidable Blindness survey: Review of the methodology and protocol for the seventh version (RAAB7).
Wellcome Open Res
; 9: 133, 2024.
Artículo
en Inglés
| MEDLINE | ID: mdl-38828387
4.
Improving equity, efficiency and adherence to referral in Pakistan's eye health programmes: Pre- and post-pandemic onset.
Front Public Health
; 10: 873192, 2022.
Artículo
en Inglés
| MEDLINE | ID: mdl-35937227
5.
Protocol for an automated, pragmatic, embedded, adaptive randomised controlled trial: behavioural economics-informed mobile phone-based reminder messages to improve clinic attendance in a Botswanan school-based vision screening programme.
Trials
; 23(1): 656, 2022 Aug 15.
Artículo
en Inglés
| MEDLINE | ID: mdl-35971156
6.
Development and Validation of a Digital (Peek) Near Visual Acuity Test for Clinical Practice, Community-Based Survey, and Research.
Transl Vis Sci Technol
; 11(12): 18, 2022 12 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-36583912
7.
Performance and resource requirements of in-person versus voice call versus automated telephone-based socioeconomic data collection modalities for community-based health programmes: a systematic review protocol.
BMJ Open
; 12(4): e057410, 2022 04 15.
Artículo
en Inglés
| MEDLINE | ID: mdl-35428640
8.
Sociodemographic characteristics of community eye screening participants: protocol for cross-sectional equity analyses in Botswana, India, Kenya, and Nepal.
Wellcome Open Res
; 7: 144, 2022.
Artículo
en Inglés
| MEDLINE | ID: mdl-37485295
9.
Performance and Resource Requirements of In-Person, Voice Call, and Automated Telephone-Based Socioeconomic Data Collection Modalities for Community-Based Health Programs: A Systematic Review.
JAMA Netw Open
; 5(11): e2243883, 2022 11 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-36441550
10.
The Contribution of Artificial Intelligence in Achieving the Sustainable Development Goals (SDGs): What Can Eye Health Can Learn From Commercial Industry and Early Lessons From the Application of Machine Learning in Eye Health Programmes.
Front Public Health
; 9: 752049, 2021.
Artículo
en Inglés
| MEDLINE | ID: mdl-35004574
11.
Development and Validation of a Smartphone-based Contrast Sensitivity Test.
Transl Vis Sci Technol
; 8(5): 13, 2019 Sep.
Artículo
en Inglés
| MEDLINE | ID: mdl-31579557
12.
Clinical Validation of a Smartphone-Based Adapter for Optic Disc Imaging in Kenya.
JAMA Ophthalmol
; 134(2): 151-8, 2016 Feb.
Artículo
en Inglés
| MEDLINE | ID: mdl-26606110
13.
The Diabetic Retinopathy Screening Workflow: Potential for Smartphone Imaging.
J Diabetes Sci Technol
; 10(2): 318-24, 2015 Nov 23.
Artículo
en Inglés
| MEDLINE | ID: mdl-26596630
14.
Towards a workflow driven design for mHealth devices within temporary eye clinics in low-income settings.
Annu Int Conf IEEE Eng Med Biol Soc
; 2015: 7312-5, 2015.
Artículo
en Inglés
| MEDLINE | ID: mdl-26737980
15.
A smartphone based ophthalmoscope.
Annu Int Conf IEEE Eng Med Biol Soc
; 2014: 2177-80, 2014.
Artículo
en Inglés
| MEDLINE | ID: mdl-25570417
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