10 research outputs found
Feasibility of utilizing the SD BIOLINE Onchocerciasis IgG4 rapid test in onchocerciasis surveillance in Senegal
<div><p>As effective onchocerciasis control efforts in Africa transition to elimination efforts, different diagnostic tools are required to support country programs. Senegal, with its long standing, successful control program, is transitioning to using the SD BIOLINE Onchocerciasis IgG4 (Ov16) rapid test over traditional skin snip microscopy. The aim of this study is to demonstrate the feasibility of integrating the Ov16 rapid test into onchocerciasis surveillance activities in Senegal, based on the following attributes of acceptability, usability, and cost. A cross-sectional study was conducted in 13 villages in southeastern Senegal in May 2016. Individuals 5 years and older were invited to participate in a demographic questionnaire, an Ov16 rapid test, a skin snip biopsy, and an acceptability interview. Rapid test technicians were interviewed and a costing analysis was conducted. Of 1,173 participants, 1,169 (99.7%) agreed to the rapid test while 383 (32.7%) agreed to skin snip microscopy. The sero-positivity rate of the rapid test among those tested was 2.6% with zero positives 10 years and younger. None of the 383 skin snips were positive for Ov microfilaria. Community members appreciated that the rapid test was performed quickly, was not painful, and provided reliable results. The total costs for this surveillance activity was 3.14 for rapid test, 13.43 for shared costs. If no participants had refused skin snip microscopy, the total cost per method with shared costs would have been around $16 per person tested. In this area with low onchocerciasis sero-positivity, there was high acceptability and perceived value of the rapid test by community members and technicians. This study provides evidence of the feasibility of implementing the Ov16 rapid test in Senegal and may be informative to other country programs transitioning to Ov16 serologic tools.</p></div
Characteristics of 1,173 included participants by gender.
<p>Characteristics of 1,173 included participants by gender.</p
Onchocerciasis surveillance costs per test and by cost category.
<p>Onchocerciasis surveillance costs per test and by cost category.</p
Representative quotes illustrating community member views on the different diagnostic methods.
<p>Representative quotes illustrating community member views on the different diagnostic methods.</p
Onchocerciasis surveillance process map without and with Ov16 rapid test.
<p>Onchocerciasis surveillance process map without and with Ov16 rapid test.</p
Sero-positivity of Ov16 rapid test by the following age categories: 5–17, 18–30, 31–42, 43–55, 56–67, 68–80, and 81–92 (n = 1,169).
<p>Sero-positivity of Ov16 rapid test by the following age categories: 5–17, 18–30, 31–42, 43–55, 56–67, 68–80, and 81–92 (n = 1,169).</p
Rapid test results by exposure characteristics among those who participated in rapid test (n = 1,169).
<p>Rapid test results by exposure characteristics among those who participated in rapid test (n = 1,169).</p
Additional file 1: Appendix S1. of The potential to expand antiretroviral therapy by improving health facility efficiency: evidence from Kenya, Uganda, and Zambia
Access, Bottlenecks, Costs, and Equity (ABCE) facility sampling strategy by country. This supplementary file details the sampling strategies adapted for Kenya (Figures A and B), Uganda (Figures C and D), and Zambia (Figures E and F) as part of the multi-country ABCE project. (DOCX 1409 kb
Additional file 2: Appendix S2. of The potential to expand antiretroviral therapy by improving health facility efficiency: evidence from Kenya, Uganda, and Zambia
Output-specific facility indicators for quality-adjustment scores. This supplementary file provides detailed information about output-specific quality indicators used to construct structural quality-adjustment scores in Kenya, Uganda, and Zambia (Table A). (DOCX 19 kb
Additional file 4: Appendix S4. of The potential to expand antiretroviral therapy by improving health facility efficiency: evidence from Kenya, Uganda, and Zambia
Bivariate and pooled analyses of facility determinants of efficiency. Results from bivariate regressions by country (Tables E to G) and pooled across both countries and platforms (Tables H and I) are included in this supplementary file. (DOCX 40 kb