KAIS 2007 1 - Kenya National AIDS & STI Control Programme ...

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The Ministry of Medical Services has recommended that people with HIV who have a CD4 countof less than 250 cells/μL should initiate ARVs. 4 An estimated 214,000 HIV‐infected adults had CD4counts of less than 250 cells/μL but were not taking ARVs and were thus eligible to initiatetreatment. This figure likely underestimates ARV eligibility because the survey did not collectWHO clinical staging information. That is, some infected but untreated individuals with CD4counts of 250 cells/μL or greater with WHO stage III or IV disease may have been eligible to beginARV therapy but are not counted here.An additional 144,000 infected adults who did not report that there were taking ARVs had CD4cell counts of 250‐349 cells/μL, indicating possible ARV eligibility depending on clinical status.Moreover, the Ministry of Medical Services could change ARV eligibility guidelines in the futureto a criterion of less than 350 cells/μL, regardless of WHO stage, given that this cut off is usedwidely in other countries. Currently, Ministry of Medical Services guidelines recommend thatasymptomatic patients in this group be observed and monitored regularly.The remaining 69.8% of untreated HIV‐infected adults, an estimated 825,000 persons nationwide,had CD4 counts of 350 cells/μL or greater, which will decline over time and necessitate ARVmedications in the future.What is a CD4 Count?DATA IN CONTEXTCD4+ lymphocytes (also called CD4 cells or T4-cells) are an important part of theimmune system that lead the attack against infections. As HIV infectionprogresses, the number of CD4 cells is depleted. A laboratory test can measure theconcentration of CD4 cells in a person’s body. A normal CD4 cell count usually is>500 cells/μL. Lower CD4 counts are associated with increased risk ofcomplicating infections, cancers and death. The Ministry of Medical Servicescurrently recommends that all HIV-infected adults with a CD4 count of
ARV coverage was estimated by taking the number of persons on ARV divided by the sum of thenumber on ARV and the number eligible but not taking ARV medications. We estimated coverageusing current CD4 eligibility guidelines of less than 250 cells/μL and, in anticipation of futurepotential changes to ARV guidelines, a criterion of less than 350 cells/μL.Figure 10.4a ARV coverage and access among HIV-infected adults aged 15-64 yearseligible to take ARV by CD4 eligibility criteria, <strong>Kenya</strong> <strong>2007</strong>.Eligibility criterion: CD4
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KAIS 2007 1
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P.O. Box: 9361 Code: 00202 Nairobi,
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KEMRIKNASPKNBSKshLLITNMCHmlμLMOMSM
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KEY FINDINGS: HIV PREVENTION• Amo
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Among HIV‐uninfected women, 71.2%
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Men 5.4 26.3 1.9Total 7.1 35.1 1.8O
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Kenya is also committed to the “T
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Table 1.4 Distribution of sampled c
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1.7 SURVEY IMPLEMENTATIONTrainingIn
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Data processing included a number o
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Characteristic 2003 KDHS 2007 KAISQ
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Figure 1.11 Sampled clusters and el
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Table 1.11c Survey response rates b
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Population estimates reported in th
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2.4 HIV PREVALENCE AMONG YOUTHFigur
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Figure 2.6b HIV prevalence among ru
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2.7 HIV PREVALENCE BY PROVINCEFigur
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Figure 2.7c Estimated number of HIV
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2.9 HIV PREVALENCE BY EDUCATION LEV
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Figure 2.10b HIV prevalence among r
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2.11 HIV PREVALENCE BY TIME AWAY FR
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2.13 MALE CIRCUMCISION AND ASSOCIAT
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Figure 2.13c HIV prevalence among c
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Comparison of HIV Prevalence in the
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3.3 SEXFigure 3.3a HIV prevalence a
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Figure 3.4b. HIV prevalence among m
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3.7 PROVINCEFigure 3.7a HIV prevale
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2003 KDHS 1 2007 KAIS 2Marital stat
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3.10 WEALTH INDEXFigure 3.10a HIV p
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DATA IN CONTEXT: APPROACHES TO HIV
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Figure 4.3c Ever been tested for HI
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Figure 4.3e Ever been tested for HI
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Figure 4.3g Women aged 15-49 years
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Figure 4.4a Time since last HIV tes
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Figure 4.5a Reasons for not testing
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Increasing access to HIV testing wi
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4.7. Gaps and unmet needs• Two‐
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Figure 5.3b Self-reported HIV statu
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This section examines participants
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Figure 5.5a Knowledge of HIV status
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Figure 5.5c Percent of partnerships
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uninfected. A couple was considered
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Figure 5.6c Women and men aged 15-6
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Sexual Partners, Sexual DebutCircum
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Figure 6.3b. HIV prevalence among w
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Figure 6.3d. HIV prevalence among w
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Figure 6.3f. Men aged 15-64 years r
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In this section, “consistent cond
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Figure 6.4c. Marital or cohabiting
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Figure 6.5b. Young women and men ag
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Figure 6.5d. Young women and men ag
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Figure 6.6a. Male circumcision amon
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Figure 6.6d. HIV prevalence among m
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Knowledge, Attitudes and Beliefs ch
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Figure 7.3b. Most common source of
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Figure 7.3c Women and men aged 15-6
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Figure 7.3e Overall scores for 12 q
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Figure 7.3g Women and men aged 15-6
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Figure 7.3i Correct responses to se
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• If a female teacher has the AID
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7.5. Perceived risk of HIV infectio
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Figure 7.5c Reasons given for havin
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7.6. Attitudes toward women’s rol
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who had never been tested for HIV o
Page 138 and 139: 8.2 INTRODUCTIONIn the absence of i
Page 140 and 141: 8.3 ANTENATAL CLINIC ATTENDANCE, 20
Page 142 and 143: 8.4 KNOWLEDGE OF MOTHER-TO-CHILD TR
Page 144 and 145: The analysis in this section consid
Page 146 and 147: Figure 8.5b Women aged 15-49 years
Page 148: • Incorrect communication or unde
Page 151 and 152: 8.8 CURRENTLY PREGNANT WOMEN: HIV T
Page 153 and 154: Among currently pregnant women, 7.1
Page 155 and 156: Among pregnant, HIV‐uninfected wo
Page 157 and 158: Figure 8.11b Desire for a child in
Page 159 and 160: 8.12 CONTRACEPTIVE USEThe next figu
Page 161 and 162: Figure 8.12c Contraceptive use* amo
Page 163 and 164: Blood and Injection Safety chapter
Page 165 and 166: D ATA IN C ONTEXT: N ATIONAL B LOOD
Page 167 and 168: Figure 9.3a Source of blood donatio
Page 169 and 170: Figure 9.3b Source of blood donatio
Page 171 and 172: Figure 9.3d Source of blood donatio
Page 173 and 174: 9.4 Blood transfusionsAlthough the
Page 175 and 176: 10080Injec tionsPillsNo preferenceW
Page 177 and 178: HIV prevalence among adults who rep
Page 179 and 180: 9.6 Gaps and unmet needs• HIV pre
Page 181 and 182: The Ministry of Medical Services re
Page 183 and 184: 10.3 COTRIMOXAZOLE PROPHYLAXIS FOR
Page 185 and 186: Coverage also varied significantly
Page 187: 10.4 ARV ELIGIBILITY, COVERAGE AND
Page 191 and 192: Figure 10.4b ARV coverage among HIV
Page 193 and 194: DATA IN CONTEXTEstimates of HIV-inf
Page 195 and 196: 10.5 GAPS AND UNMET NEEDS• The es
Page 197 and 198: debilitating illness leading to hos
Page 199 and 200: Among HIV‐infected adults (83.6%
Page 201 and 202: Figure 11.3d HIV-infected adults ag
Page 203 and 204: Figure 11.4b HIV-infected adults ag
Page 205 and 206: Figure 11.4d HIV-infected adults ag
Page 207 and 208: DATA IN CONTEXTHIV Basic Care Packa
Page 209 and 210: Figure 11.5b HIV-infected adults ag
Page 211 and 212: Figure 11.6b Percent of HIV-infecte
Page 213 and 214: 11.8 GAPS AND UNMET NEEDS• Counse
Page 215 and 216: 12.3 HSV-2 prevalenceHSV‐2 preval
Page 217 and 218: 807071.0WomenMen64.3HSV-2 Prevalenc
Page 219 and 220: Figure 12.3d HSV-2 prevalence among
Page 221 and 222: Figure 12.4b HSV-2 prevalence among
Page 223 and 224: Figure 12.5a HIV prevalence by HSV-
Page 225 and 226: Figure 12.6b Condom use during last
Page 227 and 228: 12.7 Gaps and unmet needs• Increa
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Page 231 and 232: Figure 13.3b Prevalence of syphilis
Page 233 and 234: Figure 13.3d Prevalence of syphilis
Page 235 and 236: Figure 13.3f Prevalence of syphilis
Page 237 and 238: Figure 13.4b Prevalence of syphilis
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13.6 GAPS AND UNMET NEEDS• Patien
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Household Characteristics andImpact
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Figure 14.3a Sex of head of househo
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Figure 14.3d Household population,
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14.5 PREVALENCE OF HIV-AFFECTED HOU
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Figure 14.5c HIV-affected household
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social and economic conditions of h
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households used chemical disinfecta
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14.7 HOUSEHOLD OWNERSHIP OF MOSQUIT
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Figure 14.7b HIV-affected and HIV-u
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Table 14.7b Source of bednets among
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Overall, 52.3% percent of children
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14.9 CARE AND SUPPORT FOR ORPHANS A
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For consistency with other populati
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Returning Test Results15.1 KEY FIND
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Figure 15.3b. Participants aged 15-
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Figure 15.3d. Participants aged 15-
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Figure 15.3f. Participants aged 15-
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15.4 RETURNING TO RECEIVE TEST RESU
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Figure 15.5 Women aged 15-64 years
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Methods of the 2007 KAISThis Append
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ClustersHouseholdsProvince Rural Ur
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and treatment services and other he
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The KEMRI Ethical Review Committee
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Red top (5 ml)Whole blood collected
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algorithm using two HIV EIAs (Viron
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Figure A5.a. Structure and flow of
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Recruitment and training of results
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observe confidentiality of particip
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Documentation. Results counsellors
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Normalisation of weightsNormalised
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This report presents the results of
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