<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">AID</journal-id><journal-title-group><journal-title>Advances in Infectious Diseases</journal-title></journal-title-group><issn pub-type="epub">2164-2648</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/aid.2019.92010</article-id><article-id pub-id-type="publisher-id">AID-93362</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  Managing Cases with Human Immunodeficiency Virus Infection: Knowing the Dynamics from Voluntary Counselling and Testing Clients in Bobo-Dioulasso for Better Planning in Burkina Faso (1996-2014)
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Armel</surname><given-names>Poda</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>M’winmalo</surname><given-names>Ines Evelyne Da</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ziemlé</surname><given-names>Clément Méda</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Serge</surname><given-names>Somda</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Arsène</surname><given-names>Héma</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Jacques</surname><given-names>Zoungrana</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Isidore</surname><given-names>Traoré</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Apoline</surname><given-names>Sondo</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ismael</surname><given-names>Diallo</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mamadaou</surname><given-names>Savadogo</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Issiaka</surname><given-names>Sombié</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Madina</surname><given-names>Traoré</given-names></name><xref ref-type="aff" rid="aff6"><sup>6</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Nicolas</surname><given-names>Méda</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib></contrib-group><aff id="aff6"><addr-line>Centre Anonyme de Dépistage et d’Information (CADI), Bobo-Dioulasso, Burkina Faso</addr-line></aff><aff id="aff4"><addr-line>Health Regional Direction of Hauts Bassins Region, Bobo-Dioulasso, Burkina Faso</addr-line></aff><aff id="aff1"><addr-line>Department of Infectious Diseases, Souro Sanou Teaching Hospital, Bobo-Dioulasso, Burkina Faso</addr-line></aff><aff id="aff2"><addr-line>Centre MURAZ, Bobo-Dioulasso, Burkina Faso</addr-line></aff><aff id="aff5"><addr-line>West African Health Organization (WAHO), Bobo-Dioulasso, Burkina Faso</addr-line></aff><aff id="aff3"><addr-line>Department of Infectious Diseases, Yalgado Ouedraogo Teaching Hospital, Ouagadougou, Burkina Faso</addr-line></aff><pub-date pub-type="epub"><day>28</day><month>05</month><year>2019</year></pub-date><volume>09</volume><issue>02</issue><fpage>137</fpage><lpage>149</lpage><history><date date-type="received"><day>3,</day>	<month>May</month>	<year>2019</year></date><date date-type="rev-recd"><day>25,</day>	<month>June</month>	<year>2019</year>	</date><date date-type="accepted"><day>28,</day>	<month>June</month>	<year>2019</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Background: The Anonymous Screening and Information Centre (CADI) is the oldest screening centre of HIV from Burkina Faso. Since its opening, no analysis on the evolution of Human Immunodeficiency Virus (HIV) prevalence has been carried out. 
  Objective: The study aimed to describe the dynamics of HIV infection when managing centres offering voluntary counselling and testing to client, such as the Screening and Counselling Centre (CADI), in Bobo Dioulasso, Burkina Faso. 
  Patients and Methods: A cross-sectional study was performed including people screened at the CADI from May 1996 to June 2014. Pearson khi
  <sup>2</sup> test and Cuzick trend test were used with a 5% significance level. 
  Results: From 7.1% of the 11,451 cases analyzed, the average age of clients screened was 30 &#177; 10.83 year-old. There was a female predominance (sex ratio = 0.8). The 16.4% (15.7 - 17.1) of the cases from the 11,451 clients included in our study were tested HIV positive. The global prevalence rate of HIV in the centre has significantly decreased from 46.2% in 1996 to 1.5% in 2014 (p &lt; 0.0001). In 1999, 2001, and 2006, the peaks of the HIV prevalence rates were noted: 22.9%, 34.1%, and 22.8% respectively. CADI’s customers’ profile has significantly changed. Therefore between 1996 and 2000, people with HIV symptoms were more common at the centre (42.7%). From 2001 to 2008, physician-prescribed screenings were best predominant (83.95%). From 2008 to 2014, a total of 72.7% people reported with reason for the screening a desire to know their serological status. 
  Conclusion: The behaviour change could be a justification for the decline in HIV prevalence at the centre, hence the importance of sensitization campaigns.
 
</p></abstract><kwd-group><kwd>Burkina Faso</kwd><kwd> Clients</kwd><kwd> Prevalence</kwd><kwd> HIV</kwd><kwd> Screening</kwd><kwd> Case Management</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Significant progress has been achieved in Human Immunodeficiency Virus (HIV) infection control [<xref ref-type="bibr" rid="scirp.93362-ref1">1</xref>] . In Burkina Faso, many dynamic associations and Non-Governmental Organizations (NGO’s) are involved in the preventing of HIV as well as the management of HIV-infected and affected people [<xref ref-type="bibr" rid="scirp.93362-ref2">2</xref>] . The provision of HIV screening services has therefore expanded rapidly in Burkina Faso with the establishment of many HIV screening centres and increased access to HIV screening in public health centres [<xref ref-type="bibr" rid="scirp.93362-ref2">2</xref>] . The Screening and Counselling Centre (CADI in French) was initiated in Bobo-Dioulasso, Burkina Faso, in 1996 at a time when there was not this kind of screening centre, except private laboratories with excessive screening costs. The motto of the centre was “Faire Face” (Facing up) to recall how important it is to cope with one’s serological status [<xref ref-type="bibr" rid="scirp.93362-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.93362-ref4">4</xref>] . Very few studies discussed the issue of screening centres in Burkina Faso. However, Som&#233; et al. reported that customers of voluntary screening centres (CDV) differed depending on the strategies and screening period [<xref ref-type="bibr" rid="scirp.93362-ref2">2</xref>] . No study was carried out on the 1<sup>st</sup> screening centre in Burkina Faso. This study aimed to describe the evolution of HIV prevalence infection from the Screening and Counselling Centre (CADI) from 1996 to 2014.</p></sec><sec id="s2"><title>2. Patients and Methods</title><p>CADI is the first HIV screening centre still in operation in Burkina Faso set up since 1996. Located in the premises of Centre Muraz, Bobo-Dioulasso, it permitted the HIV screening of 161,382 people from May 1996 to June 2014. The attendance of the activities has kept on growing from one year to another [<xref ref-type="bibr" rid="scirp.93362-ref5">5</xref>] . HIV is tested on the basis of the screening algorithm performed in Burkina Faso [<xref ref-type="bibr" rid="scirp.93362-ref6">6</xref>] . A first rapid and very high sensitivity and non-discriminating test such as Determine HIV&#174;, swift-HIV&#174;, and Double check Gold HIV&#174; is performed. If positive, the result is confirmed by another rapid and high specificity test discriminating both types of viruses, such as immunocomb II HIV&#174;, Tridot. HIV&#174;, Genie II HIV&#174; and SD Bioline&#174;.</p><p>The present study used a retrospective cross-sectional study based on the cohort of people tested for HIV at CADI from May 1996 to June 2014. A yearly random sampling was carried out. The sample size was calculated to highlight a 5-percentage point difference in the prevalence recorded over two distinctive years. The minimum value requested was 80% for a 5% error limit [<xref ref-type="bibr" rid="scirp.93362-ref6">6</xref>] . The sample size was 755 observations per year. A yearly 755 random number table was determined with Epi info 6 software. A total of 13,590 observations were expected. When less than 755 tests were registered (from 1996 to 2000), all available data were used.</p><p>The medical files were used to collect data on socio-demographic features (age, sex, marital status, level of education, occupation), behaviour characteristics (reason for testing, existence of sexual partner(s), use of condoms, information share on serological status), and HIV test results. The outcomes of the present study targeted the prevalence of HIV infection and the epidemiological profile of CADI clients.</p><p>Data were analysed using Stata SE 13 software. Quantitative variables were described on the basis of their average and standard deviation, whereas qualitative variables were described on the basis of their proportion and confidence interval. Pearson khi2 test was used to compare qualitative variables, whereas Cuzick trend test was used to compare the yearly prevalence of HIV infection at CADI from 1996 to 2014. A 5% significance level was applied.</p><p>This study was carried out using the anonymous data sheets from the CADI screening centre. Approval was obtained from the people in charge of the centre. No committee gave its approval</p></sec><sec id="s3"><title>3. Results</title><p>Our study included 11,451 (7.1%) clients out of the 161,382 people tested at CADI from May 1996 to June 2014.</p><p><xref ref-type="table" rid="table1">Table 1</xref> summarizes the socio-demographic characteristics and the main reasons for screening among the centre’s clients.</p><table-wrap-group id="1"><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Socio-demographic characteristics and the main reasons for screening among the centre’s clients</title></caption><table-wrap id="1_1"><table><tbody><thead><tr><th align="center" valign="middle" >Characteristics</th><th align="center" valign="middle" >N</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle" >Sex</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >5099</td><td align="center" valign="middle" >44.53</td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >6352</td><td align="center" valign="middle" >55.47</td></tr><tr><td align="center" valign="middle" >Age (years)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >[0 - 5]</td><td align="center" valign="middle" >79</td><td align="center" valign="middle" >0.69</td></tr><tr><td align="center" valign="middle" >[5 - 10]</td><td align="center" valign="middle" >156</td><td align="center" valign="middle" >1.36</td></tr><tr><td align="center" valign="middle" >[10 - 15]</td><td align="center" valign="middle" >96</td><td align="center" valign="middle" >0.84</td></tr><tr><td align="center" valign="middle" >[15 - 20]</td><td align="center" valign="middle" >1007</td><td align="center" valign="middle" >8.79</td></tr><tr><td align="center" valign="middle" >[20 - 25]</td><td align="center" valign="middle" >2556</td><td align="center" valign="middle" >22.32</td></tr><tr><td align="center" valign="middle" >[25 - 30]</td><td align="center" valign="middle" >2434</td><td align="center" valign="middle" >21.26</td></tr><tr><td align="center" valign="middle" >[30 - 35]</td><td align="center" valign="middle" >1848</td><td align="center" valign="middle" >16.14</td></tr></tbody></table></table-wrap><table-wrap id="1_2"><table><tbody><thead><tr><th align="center" valign="middle" >[35 - 40]</th><th align="center" valign="middle" >1243</th><th align="center" valign="middle" >10.85</th></tr></thead><tr><td align="center" valign="middle" >[40 - 45]</td><td align="center" valign="middle" >827</td><td align="center" valign="middle" >7.22</td></tr><tr><td align="center" valign="middle" >[45 - 50]</td><td align="center" valign="middle" >508</td><td align="center" valign="middle" >4.44</td></tr><tr><td align="center" valign="middle" >[50 - 55]</td><td align="center" valign="middle" >344</td><td align="center" valign="middle" >3</td></tr><tr><td align="center" valign="middle" >[55 - 60]</td><td align="center" valign="middle" >189</td><td align="center" valign="middle" >1.65</td></tr><tr><td align="center" valign="middle" >[60 - 65]</td><td align="center" valign="middle" >95</td><td align="center" valign="middle" >0.83</td></tr><tr><td align="center" valign="middle" >[65 - 70]</td><td align="center" valign="middle" >41</td><td align="center" valign="middle" >0.36</td></tr><tr><td align="center" valign="middle" >[70 - 75]</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >0.16</td></tr><tr><td align="center" valign="middle" >[75 - 80]</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >0.02</td></tr><tr><td align="center" valign="middle" >[80 - 85]</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >[85 - 90]</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Median age (min-max)</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >(1 - 87)</td></tr><tr><td align="center" valign="middle" >Average age (standard deviation)</td><td align="center" valign="middle" >30.00</td><td align="center" valign="middle" >10.83</td></tr><tr><td align="center" valign="middle" >Marital status</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Single</td><td align="center" valign="middle" >8.36</td><td align="center" valign="middle" >8.36</td></tr><tr><td align="center" valign="middle" >Married</td><td align="center" valign="middle" >31.29</td><td align="center" valign="middle" >31.29</td></tr><tr><td align="center" valign="middle" >Divorced</td><td align="center" valign="middle" >5.27</td><td align="center" valign="middle" >5.27</td></tr><tr><td align="center" valign="middle" >Widowers</td><td align="center" valign="middle" >6.06</td><td align="center" valign="middle" >6.06</td></tr><tr><td align="center" valign="middle" >School level</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Out of school</td><td align="center" valign="middle" >2445</td><td align="center" valign="middle" >22.05</td></tr><tr><td align="center" valign="middle" >Primary</td><td align="center" valign="middle" >2173</td><td align="center" valign="middle" >19.6</td></tr><tr><td align="center" valign="middle" >Secondary school</td><td align="center" valign="middle" >5207</td><td align="center" valign="middle" >46.97</td></tr><tr><td align="center" valign="middle" >College</td><td align="center" valign="middle" >1261</td><td align="center" valign="middle" >11.37</td></tr><tr><td align="center" valign="middle" >Screening reason</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Know its status</td><td align="center" valign="middle" >3109</td><td align="center" valign="middle" >36.52</td></tr><tr><td align="center" valign="middle" >Prenuptial assessment</td><td align="center" valign="middle" >578</td><td align="center" valign="middle" >6.79</td></tr><tr><td align="center" valign="middle" >Job</td><td align="center" valign="middle" >46</td><td align="center" valign="middle" >0.54</td></tr><tr><td align="center" valign="middle" >Symptoms</td><td align="center" valign="middle" >814</td><td align="center" valign="middle" >9.56</td></tr><tr><td align="center" valign="middle" >Death of the sexual partner</td><td align="center" valign="middle" >209</td><td align="center" valign="middle" >2.46</td></tr><tr><td align="center" valign="middle" >Seropositivity of sexueal partner</td><td align="center" valign="middle" >138</td><td align="center" valign="middle" >1.62</td></tr><tr><td align="center" valign="middle" >Risky sexuak intercourse</td><td align="center" valign="middle" >529</td><td align="center" valign="middle" >6.21</td></tr><tr><td align="center" valign="middle" >Transfusion</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >0.02</td></tr><tr><td align="center" valign="middle" >Other</td><td align="center" valign="middle" >3087</td><td align="center" valign="middle" >36.27</td></tr><tr><td align="center" valign="middle" >Existence of a current sexual partner</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >8463</td><td align="center" valign="middle" >78.32</td></tr><tr><td align="center" valign="middle" >Non</td><td align="center" valign="middle" >2342</td><td align="center" valign="middle" >21.68</td></tr><tr><td align="center" valign="middle" >Screening test results</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Positive</td><td align="center" valign="middle" >1875</td><td align="center" valign="middle" >16.37</td></tr><tr><td align="center" valign="middle" >Negative</td><td align="center" valign="middle" >9277</td><td align="center" valign="middle" >81.01</td></tr><tr><td align="center" valign="middle" >Undetermined</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap></table-wrap-group><sec id="s3_1"><title>3.1. Evolution of Clients’ Profile at the Centre</title><p>The average age was 30 &#177; 10.8 years. The most represented age group was 20 - 25. Depending on years, the average age of CADI’s clients ranged between 27.9-year-old and 31.8-year-old with extremes varying from 1.0-year-old to 87.0-year-old. Significant progress was made from one year to the other (p &lt; 0.0001). Women were mostly represented (55.5%) with a sex ratio of 0.80. But between 1996 and 2000, male was predominant. Subsequently, the number of women attending the centre increased and was higher than that of men. Most clients were living in couple (79.5% [78.6 - 80.4]). From 1996 to 2000, attendance rates increased although between 2001 and 2007, numbers decreased. The number of widowers attending the centre considerably declined since 1996, whereas the bachelors were stable except in 2003, 2004, and 2007 (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p><p>Among centre’s clients, 52.90% [52 - 53.8] had no occupational activity. Over three-quarters were educated representing 78.3% [77.5 - 79.1]. From 1996 to 2014, educated people attended the centre more often (<xref ref-type="fig" rid="fig2">Figure 2</xref>).</p><p>Almost half of the educated people (46.3%) attended secondary school, 19.47% primary school, and 11.43% high school. 23.82% of clients always used condoms. When testing was conducted, 21.5% stated that they have several sexual partners.</p><p>The desire to know their serological status was the first reason for screening reported by 36.4% [35.35 - 37.41] of the clients.</p><p>The reasons for HIV testing have improved in 5 steps (<xref ref-type="fig" rid="fig3">Figure 3</xref>).</p><p>The first stage was the first two years during which testing was determined by the appearance of symptoms. Between 1998 and 2000, the desire to know one’s status was more common. From 2001 to 2007, testing was mostly requested by a third person (physician), and then from 2008 to 2014 seeking to know one’s status became the main reason put forward (<xref ref-type="fig" rid="fig4">Figure 4</xref>).</p></sec><sec id="s3_2"><title>3.2. Evolution of HIV Prevalence at CADI</title><p>The 16.4% (15.7 - 17.1) of the cases from the 11,451 clients included in our study were tested HIV positive. The results were indeterminate for 299 clients (2.6%); 9277 clients were tested HIV negative. <xref ref-type="fig" rid="fig4">Figure 4</xref> shows the progression of HIV prevalence from 1996 to 2014, with the peaks of 22.9%, 34.1%, and 22.8% noted in 1999, 2001, and 2006 respectively. In 1996, almost one out of two clients had a positive HIV result against 4.2% in 2014. From 1996 to 2014, HIV prevalence among the clients considerably decreased. From 1997 to 1998, the average prevalence rate was about 15%. From 2007 to 2011, the average of the HIV sero-positivity rate was stable (13%). The year 2013 was characterized by the lowest HIV prevalence rate (3%) despite high attendance at the centre where 23,279 voluntary screenings. In 2014, an increase in HIV prevalence (11.5%) was recorded compared to 2013. From 1996 to 2003, the number of undetermined results was growing. Since 2003, this number has been decreasing. The peaks of indeterminate HIV results were noted in 2000, in 2003, and in 2006 with 17, 13, and 06 cases respectively, for 100 screenings performed. The number of indeterminate results since 2007 was relatively less than 1%.</p><p>Clients aged from 30-year-old to 35-year-old were more affected by HIV infection (21.9%; p &lt; 0.0001). Sero-positivity rate was significantly higher among women (66.4%; p &lt; 0.0001). Widowers were more HIV-affected (41%; p &lt; 0.0001). The sero-positivity rates were higher among uneducated clients representing 36.73%, against 31.88% for those who attended secondary school; it was 26.32% for those with primary school background and 16. 81% for high school background (p &lt; 0.0001). The sero-positivity rate was significantly higher among clients with several sexual partners (19.82%; p &lt; 0.0001) and those who never or occasionally use condoms (83.3%; p &lt; 0.0001). Sharing information related to the serological status with another person was significantly lower among HIV positive patients (84.3%; p &lt; 0.0001) compared to HIV negative clients (93.2%; p &lt; 0.0001).</p></sec></sec><sec id="s4"><title>4. Discussion</title><p>The aim of the study was to describe the evolution of HIV prevalence infection from the Screening Counselling Centre (CADI) from 1996 to 2014. With 16.4% of cases tested HIV positive, the HIV prevalence has significantly decreased from 46.2% in 1996 to 1.5% in 2014. There was a statistical difference between the HIV test result and the following variables: genre, class age, having sexual partners, use of condoms, sharing information related to the serological status with another person. Despite these interesting results, two main methodological limits have to be considered in the present study: its retrospective nature and its cross-sectional type.</p><sec id="s4_1"><title>4.1. Evolution of Clients’ Profile at the Centre</title><p>In 2006, the average age of screened people in our centre was higher than the average age of the general population (21.8-year-old) with the most represented age group from 20-year-old to 25-year-old [<xref ref-type="bibr" rid="scirp.93362-ref7">7</xref>] . In a study carried out among the general population in Ouagadougou (in Burkina Faso) targeting attendants of a screening centre [<xref ref-type="bibr" rid="scirp.93362-ref8">8</xref>] , Kirakoya et al. noted an average age (29 &#177; 8 years) closed to our study.</p><p>Related to the gender, our population was mainly composed of women which is similar to the structure of the general population in Burkina Faso [<xref ref-type="bibr" rid="scirp.93362-ref7">7</xref>] . Som&#233; et al. reported a considerable number of women in fixed sites [<xref ref-type="bibr" rid="scirp.93362-ref2">2</xref>] . This was also noted by Biadglegne et al. [<xref ref-type="bibr" rid="scirp.93362-ref8">8</xref>] from Ethiopia and Dagnan et al. [<xref ref-type="bibr" rid="scirp.93362-ref9">9</xref>] from C&#244;te d’Ivoire who respectively recorded 56.4% and 6 times more HIV-positive women. Such data express the increasing number of women with HIV due to their biological, socio-cultural and economical vulnerability. From 1996 to 2000 where there was a predominance of men and more women from 2001 to 2014, that could be explained is the fact that, since 2000, the national policy for HIV control gives more opportunities to women for counselling relating to the voluntary HIV screening, especially during prenatal visits. In addition, women tend to get themselves tested as part of a fixed strategy compared to men [<xref ref-type="bibr" rid="scirp.93362-ref2">2</xref>] .</p><p>The education rate in our study (78.3%) was higher than that of the general population (26.8%) [<xref ref-type="bibr" rid="scirp.93362-ref7">7</xref>] . Such data probably result from the various sensitization campaigns in schools [<xref ref-type="bibr" rid="scirp.93362-ref10">10</xref>] . Our study showed that more educated people get themselves tested compared to the uneducated. In addition, more uneducated clients were HIV-infected while most of Burkinabe people were uneducated [<xref ref-type="bibr" rid="scirp.93362-ref11">11</xref>] . From Dillnessa et al in Addis Ababa [<xref ref-type="bibr" rid="scirp.93362-ref12">12</xref>] , people with primary school level were four times more likely to use voluntary testing facilities.</p><p>From 1996 to 2000, most clients (79.5%) were in couple because in the 1996’s, HIV infection was considered as occurring among individuals at risk (singles and couples) [<xref ref-type="bibr" rid="scirp.93362-ref13">13</xref>] . This was noted by Kirakoya et al. who highlighted that 48.6% of HIV screening Centre’s clients were married couples living in Burkina Faso [<xref ref-type="bibr" rid="scirp.93362-ref14">14</xref>] . In the same line, Fiorillo et al. [<xref ref-type="bibr" rid="scirp.93362-ref15">15</xref>] from Tanzania and Hensen et al. [<xref ref-type="bibr" rid="scirp.93362-ref16">16</xref>] from Zambia noted a high testing rate among married people and widowers. We also noted that widowers were significantly more HIV-affected (41%). On the other hand, divorced people were the least HIV-affected (9.03%). Biadglegne et al. [<xref ref-type="bibr" rid="scirp.93362-ref8">8</xref>] observed that married people (2.8 OR; 95% IC: 1.70 to 4.71, p &lt; 0.001) and those in couple (3.8 OR; 95% IC: 2.47 to 6.09, p &lt; 0.001) were the most exposed to HIV infection. Such data draw attention to the importance of preventing HIV infection among couples considered by some authors as high-risk persons. An infected person can contaminate his/her partner and this raises challenging ethical, human rights and public health issues [<xref ref-type="bibr" rid="scirp.93362-ref17">17</xref>] [<xref ref-type="bibr" rid="scirp.93362-ref18">18</xref>] as well as the sharing of serological information within the couple.</p><p>Few bachelors attended the centre since its opening though between 2002 and 2008 their number slightly increased. Such results raise concerns because this group of people is considered at risk by some authors [<xref ref-type="bibr" rid="scirp.93362-ref19">19</xref>] . Yet in the USA, Schechter-Perkins et al. reported that bachelors were people more likely to accept being tested [<xref ref-type="bibr" rid="scirp.93362-ref20">20</xref>] .</p><p>Less than half of the people tested at the centre (23.8%) said they regularly use condoms. Sero-positivity rate was considerably higher among clients with multiple sexual partners (21.5%). More than 83% of the clients said that they never or occasionally use condoms were HIV positive. These results show high rates in risky behaviours especially among the youth. It should be reminded that it is very delicate asking questions on one’s sexual behaviour; so risky behaviours might not be reported. Is risk taking an indication of slackening vigilance or trivialization of the HIV infection? Studies show that in the general public reactions changed from one extreme to the other, that is, from a deep fear to be contaminated to the fact that HIV has become very common since efficient therapy have been introduced [<xref ref-type="bibr" rid="scirp.93362-ref19">19</xref>] . An increasing number of people are no longer scared of the disease as it is considered chronic. In a prospective study conducted in New York Calderon et al. [<xref ref-type="bibr" rid="scirp.93362-ref21">21</xref>] noted that 24.3% of patients admitted to the emergency unit who accepted to be HIV tested did not use condoms. Sherr et al. [<xref ref-type="bibr" rid="scirp.93362-ref22">22</xref>] in a Zimbabwean rural cohort found no relationship between risky behaviours and screening counselling. People want to know their serological status, therefore the first reason for them to get tested [<xref ref-type="bibr" rid="scirp.93362-ref14">14</xref>] . In the same line, for Ndiaye et al. [<xref ref-type="bibr" rid="scirp.93362-ref23">23</xref>] in 69% cases, curiosity to know one’s status was the first reason for testing [<xref ref-type="bibr" rid="scirp.93362-ref14">14</xref>] whereas in Great Britain Mc Garrigle CA et al. [<xref ref-type="bibr" rid="scirp.93362-ref24">24</xref>] pointed out that attendance to screening centres was closely related to having many sexual partners and new foreign sexual partners. Fiorillo et al. [<xref ref-type="bibr" rid="scirp.93362-ref25">25</xref>] reported that infidelity and the existence of new sexual partners were the main reasons for screening. They also considered reasons for leading people who have already been tested to ask for another testing. Decision to share one’s serological status with another person was considerably low among HIV-positive patients (84.3%) compared to negative ones (93.2%; p &lt; 0.0001). Disclosing one’s serological status depends on the testing results. Very few of those tested positive share the information in this regard. In Burkina Faso, Guiro et al. [<xref ref-type="bibr" rid="scirp.93362-ref26">26</xref>] reported that only 22% of patients share their serological information with their partner. Stigmatization and moral conflicts are apparently the major reasons for which information is not shared, which is an obstacle to HIV infection control, especially optimal treatment management.</p></sec><sec id="s4_2"><title>4.2. Progression of HIV Infection</title><p>The general prevalence of HIV infection among CADI clients was 16.4%, close to 18.4% reported by Fiorillo et al. [<xref ref-type="bibr" rid="scirp.93362-ref15">15</xref>] in Tanzania. In Uganda, Johnston et al. noted a prevalence of 12.3% [<xref ref-type="bibr" rid="scirp.93362-ref16">16</xref>] . In 2013, Dagnan et al. [<xref ref-type="bibr" rid="scirp.93362-ref9">9</xref>] reported a lower rate of 5.30% [<xref ref-type="bibr" rid="scirp.93362-ref17">17</xref>] which can be explained by the size of the sample, the duration and site of the study [<xref ref-type="bibr" rid="scirp.93362-ref10">10</xref>] .</p><p>HIV prevalence among clients of the centre considerably reduced from 46.15% to 11.5% between 1996 and 2014. Progression in the prevalence stems from the increasing number of people attending the centre. At the beginning of HIV infection in Burkina Faso, fear and inaccessibility of screening centres were the major causes for a very late screening, often at the AIDS stage [<xref ref-type="bibr" rid="scirp.93362-ref26">26</xref>] . Most clients were therefore sick by the time they attend the centre. In 1996, almost one over two clients (42.7%) showed HIV symptoms with high prevalence (46.1%). From 1997 to the 20s, mainly high-risk people attended the centre, i.e. those having unprotected sex very often with several sexual partners, those whose partner is seropositive, or died of Acquired immunodeficiency syndrome (AIDS). Later, with sensitization conducted by the various actors of HIV infection control, prevalence reduced and reasons for screening changed. Therefore, prevalence reduced after 2001; from 2007 to 2011, sero-positivity rates remained unchanged about 13%. From 2006 to 2014 no other reason than the wish to know one’s serological status motivated CADI clients to get tested. Since 2006, HIV testing seems to be performed as a routine though attendance rate has remained low.</p><p>Over time some authors reported different variations in HIV prevalence. Indeed, during voluntary screening campaigns held from 2006 to 2010 in Burkina Faso, Som&#233; et al. reported a 24.6% prevalence rate [<xref ref-type="bibr" rid="scirp.93362-ref2">2</xref>] .</p><p>Kee et al. indicated that HIV prevalence among patients attending health centres in Korea increased from 2000 to 2005 (1.3% for 10,000 clients to 5.3 for 10,000 clients) [<xref ref-type="bibr" rid="scirp.93362-ref27">27</xref>] . Yet, they noted that HIV prevalence remained stable since 2005. Baryarama et al. [<xref ref-type="bibr" rid="scirp.93362-ref28">28</xref>] noted that HIV prevalence reduced from 1999 (23%) to 2000 (13%), then went up to 15% in 2013.</p><p>United Nations Programme on HIV and AIDS (UNAIDS) reports on HIV epidemic indicated a decrease in the prevalence [<xref ref-type="bibr" rid="scirp.93362-ref1">1</xref>] . Such results show the progress achieved in the world and particularly in Sub-Saharan Africa as part of HIV control.</p></sec></sec><sec id="s5"><title>5. Conclusion</title><p>The Screening and Counselling Centre (CADI) is the first and oldest HIV screening centre in Burkina Faso. Progress achieved by people using this facility is likely to reflect the progress and challenges in HIV infection control. Since inception of the centre, HIV prevalence rate decreased until 2014. The profile of clients also changed considerably explaining a variation in prevalence. When the epidemic started, very few patients were courageous enough to get screened; but since 2006, HIV screening has become a routine test for people desiring to know their serological status. It should be noted that despite this change in behavior, the World Health Organization estimates that only 51% of HIV infected people knew their serological status in 2014. There is a need to achieve a revolution in screening services because, to recall, screening is an entry point for addressing efficient management of HIV infected people. From this perspective, many authors would be moving towards HIV self-screening.</p></sec><sec id="s6"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s7"><title>Cite this paper</title><p>Poda, A., Da, M.I.E., M&#233;da, Z.C., Somda, S., H&#233;ma, A., Zoungrana, J., Traor&#233;, I., Sondo, A., Diallo, I., Savadogo, M., Sombi&#233;, I., Traor&#233;, M. and M&#233;da, N. (2019) Managing Cases with Human Immunodeficiency Virus Infection: Knowing the Dynamics from Voluntary Counselling and Testing Clients in Bobo-Dioulasso for Better Planning in Burkina Faso (1996-2014). Advances in Infectious Diseases, 9, 137-149. https://doi.org/10.4236/aid.2019.92010</p></sec></body><back><ref-list><title>References</title><ref id="scirp.93362-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Joint United Nations Programme on HIV/AIDS (2012) Global Report: UNAIDS Report on the Global AIDS Epidemic: 2012. UNAIDS, Geneva.  
http://search.ebscohost.com/login.aspx?direct=true&amp;scope=site&amp;db=nlebk&amp;db=nlabk&amp;AN=563558</mixed-citation></ref><ref id="scirp.93362-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Somé, J.F., Desclaux, A., Ky-Zerbo, O., Lougué, M., Kéré, S., Obermeyer, C., et al. (2014) Campaigns for HIV Testing, an Effective Strategy for Universal Access to Prevention and Treatment? The Experience of Burkina Faso. MéDecine et Santé Tropicales, 24, 73-79.</mixed-citation></ref><ref id="scirp.93362-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Author (1997) Le dépistage VIH et le conseil en Afrique au Sud du Sahara: Aspects médicaux et sociaux. 1ere édition. Karthala, Paris.</mixed-citation></ref><ref id="scirp.93362-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">SP-CNLS/IST (2015) Historique et organisation. 
http://www.cnls.bf/index.php/component/k2/item/57-historique-et-organisation.htm</mixed-citation></ref><ref id="scirp.93362-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Anonymous Screening and Information Centre (2014) Rapports d’activités du centre d’Accueil de dépistage et d’information (CADI) de 1996 à juin.</mixed-citation></ref><ref id="scirp.93362-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">Conseil National de Lutte contre le VIH/DSIDA et les IST (CNLS/IST) (2014) Normes et directives nationales de conseil dépistage de l’infection à VIH au Burkina Faso. CNLS/IST, Ouagadougou.</mixed-citation></ref><ref id="scirp.93362-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Institut National de la statistique et de la démographie (2016) Recensement général de la population et de l’habitation au Burkina Faso (RGPH) en 2006.   
http://www.insd.bf/n/index.php/publications/18-les-publications/enquetes-et-recensments/141-recensement-general-de-la-population-et-de-l-habitation-au-burkina-faso-rgph-en-2006</mixed-citation></ref><ref id="scirp.93362-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Biadglegne, F., Belyhun, Y. and Tessema, B. (2010) Sero-Prevalence of Human Immunodeficiency Virus (HIV) among Voluntary Counseling and Testing (VCT) Clients in Burie Health Center, West Gojjam, Ethiopia. Ethiopian Medical Journal, 48, 149-156.</mixed-citation></ref><ref id="scirp.93362-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">Dagnan, N.S., Tiembré, I., Bi Vroh, J.B., Diaby, B., Zengbe-Acray, P., Attoh-Touré, H., et al. (2013) Seroprevalence of HIV Infection in the Context of a Mobile Counseling and Voluntary Testing Strategy in Rural Areas of C&amp;#244;te d’Ivoire. Santé Publique, 25, 849-856. https://doi.org/10.3917/spub.136.0849</mixed-citation></ref><ref id="scirp.93362-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">UNESCO (2014) éducation et VIH: évolution et perspectives. éditions UNESCO, Paris.</mixed-citation></ref><ref id="scirp.93362-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">Machin, D., Campbell, M.J., Tan, S.-B. and Tan, S.-H. (2011) Sample Size Tables for Clinical Studies. John Wiley and Sons, Hoboken, NJ.</mixed-citation></ref><ref id="scirp.93362-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">Dillnessa, E. and Enquselassie, F. (2010) Couples Voluntary Counselling and Testing among VCT Clients in Addis Ababa, Ethiopia. Ethiopian Medical Journal, 48, 95-103.</mixed-citation></ref><ref id="scirp.93362-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">UNAIDS (2011) 2011-2015 Strategy: Gettng to Zero. UNAIDS, Geneva.  
http://www.unaids.org/en/resources/documents/2010/20101221_JC2034_UNAIDS_Strategy</mixed-citation></ref><ref id="scirp.93362-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">Kirakoya-Samadoulougou, F., Yaro, S., Fao, P., Defer, M.-C., Ilboudo, F., Langani, Y., et al. (2012) Who Is Going for VCT? A Case Study in Urban Burkina Faso. ISRN AIDS, 2012, Article ID: 307917. https://doi.org/10.5402/2012/307917</mixed-citation></ref><ref id="scirp.93362-ref15"><label>15</label><mixed-citation publication-type="other" xlink:type="simple">Fiorillo, S.P., Landman, K.Z., Tribble, A.C., Mtalo, A., Itemba, D.K., Ostermann, J., et al. (2012) Changes in HIV Risk Behavior and Seroincidence among Clients Presenting for Repeat HIV Counseling and Testing in Moshi, Tanzania. AIDS Care, 24, 1264-1271. https://doi.org/10.1080/09540121.2012.658751</mixed-citation></ref><ref id="scirp.93362-ref16"><label>16</label><mixed-citation publication-type="other" xlink:type="simple">Hensen, B., Lewis, J.J., Schaap, A., Tembo, M., Mutale, W., Weiss, H.A., et al. (2015) Factors Associated with HIV-Testing and Acceptance of an Offer of Home-Based Testing by Men in Rural Zambia. AIDS and Behavior, 19, 492-504. 
https://doi.org/10.1007/s10461-014-0866-0</mixed-citation></ref><ref id="scirp.93362-ref17"><label>17</label><mixed-citation publication-type="other" xlink:type="simple">Linda, P. (2013) To Tell or Not To Tell: Negotiating Disclosure for People Living with HIV on Antiretroviral Treatment in a South African Setting. SAHARA-J: Journal of Social Aspects of HIV/AIDS, 10 , S17-S27.  
https://doi.org/10.1080/02664763.2012.755320</mixed-citation></ref><ref id="scirp.93362-ref18"><label>18</label><mixed-citation publication-type="other" xlink:type="simple">Bott, S. and Obermeyer, C.M. (2013) The Social and Gender Context of HIV Disclosure in Sub-Saharan Africa: A Review of Policies and Practices. SAHARA-J: Journal of Social Aspects of HIV/AIDS, 10, S5-S16.  
https://doi.org/10.1080/02664763.2012.755319</mixed-citation></ref><ref id="scirp.93362-ref19"><label>19</label><mixed-citation publication-type="other" xlink:type="simple">Barthassat, V., Calmy, A., Amati, F., Vincent-Suter, S., Schwarz, V., Hirschel, B., et al. (2009) Therapeutic Education in the Field of Infection Diseases: The Example of HIV Infection. Revue Médicale Suisse, 5, 1027-1031.</mixed-citation></ref><ref id="scirp.93362-ref20"><label>20</label><mixed-citation publication-type="other" xlink:type="simple">Schechter-Perkins, E.M., Koppelman, E., Mitchell, P.M., Morgan, J.R., Kutzen, R. and Drainoni, M.-L. (2014) Characteristics of Patients Who Accept and Decline ED Rapid HIV Testing. The American Journal of Emergency Medicine, 32, 1109-1112.  
https://doi.org/10.1016/j.ajem.2014.05.034</mixed-citation></ref><ref id="scirp.93362-ref21"><label>21</label><mixed-citation publication-type="other" xlink:type="simple">Calderon, Y., Chou, K., Cowan, E., Rhee, J.Y., Mathew, S., Ghosh, R., et al. (2013) Analysis of HIV Testing Acceptance and Risk Factors of an Adolescent Cohort Using Emergency Department-Based Multimedia HIV Testing and Counseling. Sexually Transmitted Diseases, 40, 624-628.  
https://doi.org/10.1097/01.OLQ.0000430800.07217.01</mixed-citation></ref><ref id="scirp.93362-ref22"><label>22</label><mixed-citation publication-type="other" xlink:type="simple">Sherr, L., Lopman, B., Kakowa, M., Dube, S., Chawira, G., Nyamukapa, C., et al. (2007) Voluntary Counselling and Testing: Uptake, Impact on Sexual Behaviour, and HIV Incidence in a Rural Zimbabwean Cohort. AIDS, 21, 851-860. 
https://doi.org/10.1097/QAD.0b013e32805e8711</mixed-citation></ref><ref id="scirp.93362-ref23"><label>23</label><mixed-citation publication-type="other" xlink:type="simple">Ndiaye, P., Diedhiou, A., Ly, D., Fall, C. and Tal-Dia, A. (2008) HIV/AIDS Prevalence among the Attendees at the Center for Voluntary Anonymous Detection and Support in Pikine/Guediawaye, Senegal. Medecine Tropicale: Revue du Corps de sante colonial, 68, 277-282.</mixed-citation></ref><ref id="scirp.93362-ref24"><label>24</label><mixed-citation publication-type="other" xlink:type="simple">McGarrigle, C.A., Mercer, C.H., Fenton, K.A., Copas, A.J., Wellings, K., Erens, B., et al. (2005) Investigating the Relationship between HIV Testing and Risk Behaviour in Britain: National Survey of Sexual Attitudes and Lifestyles 2000. AIDS, 19, 77-84.  
https://doi.org/10.1097/00002030-200501030-00009</mixed-citation></ref><ref id="scirp.93362-ref25"><label>25</label><mixed-citation publication-type="other" xlink:type="simple">Guiro, A.K., Traore, A., Somda, A. and Huang, S.-L. (2011) Attitudes and Practices towards HAART among People Living with HIV/AIDS in a Resource-Limited Setting in Northern Burkina Faso. Public Health, 125, 784-790. 
https://doi.org/10.1016/j.puhe.2011.09.015</mixed-citation></ref><ref id="scirp.93362-ref26"><label>26</label><mixed-citation publication-type="other" xlink:type="simple">Johnson, C., Curran, K., Napierala Mavedzenge, S., D’Ortenzio, E. and Baggaley, R. (2014) L’autotest de dépistage du VIH pour les travailleurs du sexe et les hommes qui ont des rapports sexuels avec des hommes en Afrique de l’Ouest: défis et perspectives de cette stratégie. La Lettre de Solthis, No. 16, 1-9.</mixed-citation></ref><ref id="scirp.93362-ref27"><label>27</label><mixed-citation publication-type="other" xlink:type="simple">Kee, M.-K., Lee, J.-H., Whang, J. and Kim, S.S. (2012) Ten-Year Trends in HIV Prevalence among Visitors to Public Health Centers under the National HIV Surveillance System in Korea, 2000 to 2009. BMC Public Health, 12, 831.  
https://doi.org/10.1186/1471-2458-12-831</mixed-citation></ref><ref id="scirp.93362-ref28"><label>28</label><mixed-citation publication-type="other" xlink:type="simple">Baryarama, F., Bunnell, R.E., Ransom, R.L., Ekwaru, J.P., Kalule, J., Tumuhairwe, E.B., et al. (2004) Using HIV Voluntary Counseling and Testing Data for Monitoring the Uganda HIV Epidemic, 1992-2000. Journal of Acquired Immune Deficiency Syndromes, 37, 1180-1186.  
https://doi.org/10.1097/01.qai.0000127063.76701.bb</mixed-citation></ref></ref-list></back></article>