Barendregt, J. J., Doi, S. A. (2016). MetaXL user guide (Version 5.3). EpiGear International.
Google Scholar
Barendregt, J. J., Doi, S. A., Lee, Y. Y., Norman, R. E., Vos, T. (2013). Meta-analysis of prevalence. Journal of Epidemiology and Community Health, 67(11), 974–978.
Google Scholar |
Crossref |
Medline
Bhutta, Z. A., Sommerfeld, J., Lassi, Z. S., Salam, R. A., Das, J. K. (2014). Global burden, distribution, and interventions for infectious diseases of poverty. Infectious Diseases of Poverty, 3, 21–21.
https://doi.org/10.1186/2049-9957-3-21 Google Scholar
Bigna, J. J., Noubiap, J. J. (2019). The rising burden of non-communicable diseases in sub-Saharan Africa. The Lancet Global Health, 7(10), e1295–e1296.
https://doi.org/10.1016/S2214-109X(19)30370-5 Google Scholar
Bogunjoko, T. J., Hassan, A. O., Akanbi, T. B., Ashaye, A., Akinye, A. (2017). Analysis of human resources for eye health in Ogun State of Nigeria: Progress towards vision 2020. British Journal of Medicine & Medical Research, 19(10), 1–9.
Google Scholar |
Crossref
Bourne, R., Flaxman, S., Braithwaite, T., Cicinelli, M. V., Das, A., Jonas, J. B. . . . Vision Loss Expert Group . (2017). Magnitude, temporal trends, and projections of the global prevalence of blindness and distance and near vision impairment: A systematic review and meta-analysis. The Lancet Global Health, 5(9), e888–e897.
https://doi.org/10.1016/S2214-109X(17)30293-0 Google Scholar
Bozzani, F., Griffiths, U., Blanchet, K., Schmidt, E. (2014). Health systems analysis of eye care services in Zambia: Evaluating progress towards VISION 2020 goals. BMC Health Services Research, 14, Article 94.
https://doi.org/10.1186/1472-6963-14-94 Google Scholar
Casson, R. J., Newland, H. S., Muecke, J., McGovern, S., Durkin, S., Sullivan, T., . . .Aung, T. (2007). Prevalence and causes of visual impairment in rural Myanmar: The Meiktila Eye Study. Ophthalmology, 114(12), 2302–2308.
https://doi.org/10.1016/j.ophtha.2007.02.004 Google Scholar
Cataract surgical rates . (2017). Community Eye Health Journal, 30(100).
https://www.cehjournal.org/wp-content/uploads/7.pdf Google Scholar
Cheng, X., Yang, Y., Schwebel, D. C., Liu, Z., Li, L., Cheng, P., . . .Hu, G. (2020). Population ageing and mortality during 1990-2017: A global decomposition analysis. PLOS Medicine, 17(6), Article e1003138.
https://doi.org/10.1371/journal.pmed.1003138 Google Scholar
Cook, C. (2009). Glaucoma in Africa size of the problem and possible solutions. Journal of Glaucoma, 18, 124–128.
Google Scholar |
Crossref |
Medline
Fang, Y., Cheng, J., Zhu, L., Xiao, M., Sun, X. (2020). Evaluation of routine health examination for screening primary open angle glaucoma in eastern China: A hospital-based cross-sectional study. Risk Management and Healthcare Policy, 13, 883–892.
https://doi.org/10.2147/RMHP.S258524 Google Scholar
Flaxman, S. R., Bourne, R. R. A., Resnikoff, S., Ackland, P., Braithwaite, T., Cicinelli, M. V., . . . Zheng, Y. (2017). Global causes of blindness and distance vision impairment 1990–2020: A systematic review and meta-analysis. The Lancet Global Health, 5(12), e1221–e1234.
https://doi.org/10.1016/S2214-109X(17)30393-5 Google Scholar
GBD 2015 Mortality and Causes of Death Collaborators . (2016). Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980–2015: A systematic analysis for the Global Burden of Disease Study 2015. The Lancet, 388, 1459–1544.
Google Scholar |
Crossref |
Medline |
ISI
GBD 2015 Risk Factors Collaborators . (2015). Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2015: A systematic analysis for the Global Burden of Disease Study. The Lancet, 388(10053), 1659–1724.
https://doi.org/10.1016/S0140-6736(16)31679-8 Google Scholar
Giovetti, O. (2019). The world’s 10 poorest countries. Concern Worldwide US.
https://www.concernusa.org/story/worlds-poorest-countries/ Google Scholar
Higgins, J. P., Thompson, S. G., Deeks, J. J., Altman, D. G. (2003). Measuring inconsistency in meta-analyses. British Medical Journal, 327(7414), 557–560.
Google Scholar |
Crossref |
Medline
Hong, Q. N. P. P., Fàbregues, S., Bartlett, G., Boardman, F., Cargo, M., Dagenais, P., . . . Vedel, I. M. (2018). Mixed methods appraisal tool (MMAT, Version 2018).
https://www.nccmt.ca/knowledge-repositories/search/232%20(accessed%20May%202017) Google Scholar
The International Agency for the Prevention of Blindness . (2013). Global action plan 2014-2019.
https://www.iapb.org/learn/resources/who-global-action-plan-2014-2019/ Google Scholar
Joanna Briggs Institute . (2015). The Joanna Briggs Institute reviewers’ manual 2015 methodology for JBI scoping reviews.
Google Scholar
Kalua, K. (2018). How to create a balanced eye team: An example from Malawi. Community Eye Health, 31(102), 46–46.
Google Scholar |
Medline
Kyari, F., Abdull, M. M., Bastawrous, A., Gilbert, C. E., Faal, H. (2013). Epidemiology of glaucoma in sub-Saharan Africa: Prevalence, incidence and risk factors. Middle East African Journal of Ophthalmology, 20(2), 111–125.
https://doi.org/10.4103/0974-9233.110605 Google Scholar
Lavett, D. K., Lansingh, V. C., Carter, M. J., Eckert, K. A., Silva, J. C. (2013). Will the SAFE strategy be sufficient to eliminate trachoma by 2020? Puzzlements and possible solutions. The Scientific World Journal, 2013, Article 648106.
https://doi.org/10.1155/2013/648106 Google Scholar
Lewallen, S., Etya’ale, D., Kello, A. B., Courtright, P. (2012). Non-physician cataract surgeons in sub-Saharan Africa: Situation analysis. Tropical Medicine & International Health, 17(11), 1405–1408.
https://doi.org/10.1111/j.1365-3156.2012.03084.x Google Scholar
Liberati, A., Altman, D. G., Tetzlaff, J., Mulrow, C., Gøtzsche, P. C., Ioannidis, J. P. A., . . . Moher, D. (2009). The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: Explanation and elaboration. Journal of Clinical Epidemiology, 62(10), e1–e34.
https://doi.org/10.1016/j.jclinepi.2009.06.006 Google Scholar
Lietman, T., Fry, A. (2001). Can we eliminate trachoma? British Journal of Ophthalmology, 85(4), Article 385.
https://doi.org/10.1136/bjo.85.4.385 Google Scholar
Mohammadi, S.-F., Saeedi-Anari, G., Ashrafi, E., Mohammadi, S.-M., Farzadfar, F., Lashay, A., Hashemi, H. (2017). Prevalence and major causes of visual impairment in Iranian adults: A systematic review. Middle East African Journal of Ophthalmology, 24(3), 148–155.
https://doi.org/10.4103/meajo.MEAJO_168_16 Google Scholar
Murthy, G. V., Gupta, S., Ellwein, L. B., Munoz, S. R., Bachani, D., Dada, V. K. (2001). A population-based eye survey of older adults in a rural district of Rajasthan: I. Central vision impairment, blindness, and cataract surgery. Ophthalmology, 108(4), 679–685.
https://doi.org/10.1016/s0161-6420(00)00579-0 Google Scholar
Naidoo, K. (2007). Poverty and blindness in Africa. Clinical and Experimental Optometry, 90(6), 415–421.
Google Scholar |
Crossref |
Medline
Naidoo, K., Gichuhi, S., Basanez, M. G., Flaxman, S. R., Jonas, J. B., Keeffe, J., . . . Bourne, R. R. (2014). Prevalence and causes of vision loss in sub-Saharan Africa: 1990-2010. British Journal of Ophthalmology, 98(5), 612–618.
https://doi.org/10.1136/bjophthalmol-2013-304081 Google Scholar
Orlická, E. (2015). Impact of population ageing and elderly poverty on macroeconomic aggregates. Procedia Economics and Finance, 30, 598–605.
https://doi.org/10.1016/S2212-5671(15)01272-1 Google Scholar
Part III: Sub-Saharan Africa . (2014, May 11). FinancialTimes.
https://www.ft.com/content/b139d3d9-ea61-34b6-8f96-6fb14f09c22d Google Scholar
Pascolini, D., Mariotti, S. P. (2012). Global estimates of visual impairment: 2010. The British Journal of Ophthalmology, 96(5), 614–618.
https://doi.org/10.1136/bjophthalmol-2011-300539 Google Scholar
Piyasena, M. M. P. N., Murthy, G. V. S., Yip, J. L. Y., Gilbert, C., Peto, T., Gordon, I., . . .Kamalakannan, S. (2019). Correction to: Systematic review and meta-analysis of diagnostic accuracy of detection of any level of diabetic retinopathy using digital retinal imaging. Systematic Reviews, 8(1), Article 106.
https://doi.org/10.1186/s13643-019-1023-7 Google Scholar
Pluye, P., Robert, E., Cargo, M., Bartlett, G., O’Cathain, A., Griffiths, F., . . . Rousseau, M. C. (2011). Mixed method appraisal tool 2011.
http://mixedmethodsappraisaltoolpublic.pbworks.com/w/file/fetch/84371689/MMAT%202011%20criteria%20and%20tutorial%202011-06-29updated2014.08.21.pdf Google Scholar
Rapid Assessment for Avoidable Blindness Repository . (2016). What is RAAB.
http://raabdata.info/about-the-raab-repository/what-is-raab/ Google Scholar
Rapid Assessment for Avoidable Blindness Repository . (2020). Rapid Assessment of Avoidable Blindness (RAAB) repository.
http://raabdata.info/ Google Scholar
Resnikoff, S., Pascolini, D., Etya’ale, D., Kocur, I., Pararajasegaram, R., Pokharel, G. P., Mariotti, S. P. (2004). Global data on visual impairment in the year 2002. Bulletin of the World Health Organization, 82(11), 844–851.
https://doi.org//S0042-96862004001100009 Google Scholar
SOS-USA . (n.d.). On the poorest continent, the plight of children is dramatic.
https://www.sos-usa.org/about-us/where-we-work/africa/poverty-in-africa#:~:text=Africa%20is%20considered%20the%20poorest,society%2C%20their%20children%20and%20women Google Scholar
Ukety, T. , et al. (2015). Rapid assessment of avoidable blindness in democratic Republic of Congo. RAAB Repository.
http://raabdata.info/ Google Scholar
Whillans, J., Nazroo, J. (2016). Social inequality and visual impairment in older people. The Journals of Gerontology: Series B, 73(3), 532–542.
https://doi.org/10.1093/geronb/gbv163 Google Scholar
The World Bank . (2018). Understanding poverty.
https://www.worldbank.org/en/understanding-poverty Google Scholar
The World Bank . (2019). State of the poor: where are the poor and where are the poorest?.
https://www.worldbank.org/content/dam/Worldbank/document/State_of_the_poor_paper_April17.pdf Google Scholar
World Health Organization . (2013). Universal eye health: A global action plan 2014-2019.
Google Scholar
World Health Organization . (2019a). WHO launches first World report on vision.
https://www.who.int/news-room/detail/08-10-2019-who-launches-first-world-report-on-vision Google Scholar
World Health Organization . (2019b). World report on vision.
http://apps.who.int/iris Google Scholar
World Health Organization . (2020). Trachoma.
https://www.who.int/news-room/fact-sheets/detail/trachoma Google Scholar
World Health Organization . (2021). Blindness and vision impairment.
https://www.who.int/news-room/fact-sheets/detail/blindness-and-visual-impairment Google Scholar
Xulu-Kasaba, Z., Mashige, K., Mthembu, M., Mazibuko, N., Mabunda, N., Randeree, A., Parsad, A. (2020). A profile of patients presenting at a low vision clinic in a resource-limited setting. African Vision and Eye Health, 79, Article a500.
https://doi.org/10.4102/aveh.v79i1.500 Google Scholar
Zikhali, T., Xulu-Kasaba, Z. (2020). Mapping evidence on the management of diabetic retinopathy using teleophthalmology to complement human resources for eye health: A scoping review protocol. Global Journal of Health Science, 12(7), 11–19.
https://doi.org/10.5539/gjhs.v12n7p11 Google Scholar
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