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

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Figure 12.3c HSV-2 prevalence among women and men aged 15-64 years byprovince and residence, Kenya 2007.70Women6057.3MenHSV-2 Prevalence (Weighted %)5040302042.327.234.019.647.129.336.318.437.739.326.544.131.540.525.445.229.141.726.3Figure 12.3cPrevalence of HSV-2infection variedsignificantly byprovince andresidence.106.47.10Nairobi Central Coast Eastern NorthEasternProvinceNyanzaRiftValleyWestern Rural Urban TotalResidenceWith the exception of North Eastern province, where HSV‐2 prevalence was 6.7%, the prevalence ofHSV‐2 infection was high in all provinces and ranged from 27.9% in Central province to 49.1% inNyanza province. HSV‐2 prevalence was significantly higher in urban than rural areas. The differencein HSV‐2 prevalence between rural and urban areas was significant among women (40.5% and 45.2%,respectively) and marginally significant among men (25.4% and 29.1%, respectively).KAIS 2007 218
Figure 12.3d HSV-2 prevalence among women and men aged 15-64 years by educationlevel, Kenya 2007.50.045.046.445.044.1WomenMen41.740.0HSV-2 Prevalence (Weighted %)35.030.025.020.015.010.05.027.122.633.434.024.526.3Figure 12.3dAmong women withno primaryeducation, nearlyhalf were HSV-2-infected; andapproximately onethird of women withsecondaryeducation or higherwere HSV-2-infected.0.0No primary Incomplete primary Complete primary Secondary+ TotalEducation LevelHSV‐2 prevalence varied significantly by level of education among women and men. Amongwomen and men with no primary education, 46.4% and 27.1%, respectively, were HSV‐2‐infected.HSV‐2 prevalence did not vary across wealth quintiles (data not shown).D ATA IN C ONTEXT:LOW HSV-2 AWARENESSIn Kenya, HSV-2 is a silent epidemic. Awareness of HSV-2 is very low, even amonghealth care providers, despite the high prevalence of HSV-2 and the potential role ofHSV-2 in driving the HIV epidemic. Researchers estimate that in settings with highHSV-2 prevalence, such as Nyanza province, HSV-2 infection could contribute to therisk of HIV-infection in more than one in four new cases of HIV 1Although HSV-2 treatment is becoming more widely accessible, many cases of HSV-2go undiagnosed and are not treated due to asymptomatic infections and lack ofawareness and training of health care providers. In 2006, the Ministry of Health’sReproductive Health Department and NASCOP updated STI guidelines 2 to includegenital herpes in syndromic management charts.27 2812.4 Acquiring and transmitting HSV-227Freeman EE, Orroth KK, White RG, et al. 2007.28Ministry of Health: National Guidelines for Reproductive Tract Infection Services, Kenya 2006.KAIS 2007 219
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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
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8.3 ANTENATAL CLINIC ATTENDANCE, 20
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8.4 KNOWLEDGE OF MOTHER-TO-CHILD TR
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The analysis in this section consid
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Figure 8.5b Women aged 15-49 years
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• Incorrect communication or unde
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8.8 CURRENTLY PREGNANT WOMEN: HIV T
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Among currently pregnant women, 7.1
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Among pregnant, HIV‐uninfected wo
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Figure 8.11b Desire for a child in
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8.12 CONTRACEPTIVE USEThe next figu
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Figure 8.12c Contraceptive use* amo
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Blood and Injection Safety chapter
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D ATA IN C ONTEXT: N ATIONAL B LOOD
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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 and 190: ARV coverage was estimated by takin
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: 807071.0WomenMen64.3HSV-2 Prevalenc
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
Page 241 and 242: Household Characteristics andImpact
Page 243 and 244: Figure 14.3a Sex of head of househo
Page 245 and 246: Figure 14.3d Household population,
Page 247 and 248: 14.5 PREVALENCE OF HIV-AFFECTED HOU
Page 249 and 250: Figure 14.5c HIV-affected household
Page 251 and 252: social and economic conditions of h
Page 253 and 254: households used chemical disinfecta
Page 255 and 256: 14.7 HOUSEHOLD OWNERSHIP OF MOSQUIT
Page 257 and 258: Figure 14.7b HIV-affected and HIV-u
Page 259 and 260: Table 14.7b Source of bednets among
Page 261 and 262: Overall, 52.3% percent of children
Page 263 and 264: 14.9 CARE AND SUPPORT FOR ORPHANS A
Page 265 and 266: For consistency with other populati
Page 267: 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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