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Original Article

Glaucoma Control Strategies in Sub-Saharan Africa: A Review of the Clinical and Health Economic Evidence

ORCID Icon, , ORCID Icon, ORCID Icon, ORCID Icon, & ORCID Icon show all
Pages 419-435 | Received 19 Sep 2017, Accepted 11 Jul 2018, Published online: 30 Jul 2018
 

ABSTRACT

Purpose: A review of the effectiveness, costs, and cost-effectiveness of detection and treatment strategies for glaucoma control in Sub-Saharan Africa (SSA) was conducted.

Methods: Detailed searches were performed using the Ovid Medline, Ovid Embase, The Cochrane Library, Web of Science, Scopus, and LILACS databases up to September 2016. The key Medical Subject Heading search terms used included glaucoma, diagnosis, treatment, effectiveness, costs, cost-effectiveness, and Sub-Saharan Africa. Effectiveness was measured as the proportion of study participants with an intra-ocular pressure less than or equal to 22 mmHg.

Results: A total of 5658 records were examined with 48 papers identified. The sensitivity and specificity of portable instruments or smartphone technologies to detect glaucomatous changes ranged from 58.3% to 93.8% and from 82.4% to 96.8%, respectively. The overall effect size for various glaucoma interventions was: 0.39 (95% confidence interval (CI) 0.27–0.54, I2 = 64.85, p = 0.036) for laser trabeculoplasty; 0.56 (95% CI 0.23–0.84, I2 = 85.74, p = 0.001) for drainage implant devices; 0.66 (95% CI 0.61–0.71, I2 = 0.00, p = 0.402) for medical management; and 0.73 (95% CI 0.65–0.80, I2 = 93.25, p = 0.000) for all other non-drainage tube surgical interventions, including trabeculectomy surgery and the use of anti-metabolites. The mean annual cost of anti-glaucoma drugs across SSA was USD 394, with a mean direct non-medication cost per year of USD 54, and a mean surgical cost per year of USD 283.

Conclusions: While effective glaucoma control interventions exist, their widespread use and diffusion across SSA remain challenging principally due to low per capita income levels and high glaucoma treatment costs.

Disclosure statement

At the time of this research both AFS and AM were employees of MedMetrics Inc.

Additional information

Funding

Funding for this study was provided by the British Council for the Prevention of Blindness, London, England.

Notes on contributors

Andrew F. Smith

AFS: Overall design, development and implementation of the entire research project, including review and comment on literature search strategies, extraction of data from the literature, reporting of findings, data analysis, and preparation of manuscript

GN: Data searches, data extraction, collection and refinement of search results and review of papers. Input into manuscript preparation.

DB: Designing and carrying out literature search strategies. Managed the retrieved search results including removing duplicate records and finding from PDF files. Input into manuscript preparation.

IEM: Review and comment on literature search strategies, development and refinement of search results, and involvement in manuscript preparation and revision.

HB: Review and comment on the literature searches results, as well as input into the manuscript.

KD: Review and comment on the literature searches results, as well as input into the manuscript.

AM: Data searches, data extraction, collection and refinement of search results and review of papers, aggregation of data, and reporting of findings, as well as input into manuscript preparation.

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