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

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Overall, national ARV coverage was estimated to be 40.5%. That is, of all adults eligible to take ARVbased on a CD4 eligibility criterion of less than 250 cells/μl, only 40.5% were doing so. Coverage ofARV based on a criterion of less than 350 cells/μL was estimated at 28.6%.ARV coverage (based on CD4 less than 250 cells/μL) did not differ by sex, education level orresidential setting, but was marginally different when stratified by age group, and significantlydifferent by marital status. ARV coverage stimates for these groups are presented in Appendix B.10.Among adults who were aware of their HIV infection and eligible for ARVs (based on a CD4 countless than 250 cells/μl), ARV access was high with 91.6% reporting they were taking daily ARVs.Among persons with CD4 cell counts less than 350 cells/μL who were aware of their HIV‐infectedstatus, access to ARV was still relatively high and not significantly different at 81.8%.The vast majority (93.8%) of adults not on treatment but eligible (CD4 less than 250 cells/μL) were notaware of their infection because either they had never been tested for HIV or they incorrectly believedthey were HIV‐uninfected based on their last HIV test. ARV initiation requires that people infectedwith HIV know their status and receive medical evaluation to determine if they are eligible to initiateARV. Therefore, to improve care and ARV coverage, HIV testing must be scaled up and encouraged.Once diagnosed, HIV‐infected adults should be referred to medical services for clinical evaluation andCD4 testing.Only a small percent of eligible (based on CD4 cell counts less than 250 cells/ μL), infected adults(3.7%) were aware of their infection but were not taking ARV. Although the 2007 KAIS did not collectexplicit reasons for not taking ARV, all untreated respondents who knew they were infected,regardless of their CD4 count, had heard of ʺspecial drugsʺ for people with AIDS, and 57.7%specifically stated they knew of antiretroviral drugs. It is possible that some adults eligible for but nottaking ARV had recent declines in CD4 count since their last clinical assessment and did not know thatthey were now eligible. This highlights the need for close patient monitoring.KAIS 2007 190
Figure 10.4b ARV coverage among HIV-infected adults aged 15-64 years who were eligibleto take ARVs by province*, Kenya 2007.Nairobi47.3ProvinceCentralCoastEasternNorth Eastern***10.9Nyanza45.6Rift Valley38.9Western48.5Total40.50 10 20 30 40 50ARV Coverage (%)Figure 10.4b ARV coverage (based on 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
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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 and 188: 10.4 ARV ELIGIBILITY, COVERAGE AND
Page 189: ARV coverage was estimated by takin
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
Page 229 and 230: also at substantially elevated risk
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
Page 239 and 240: 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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