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

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7.5. Perceived risk of HIV infectionIn Chapter 4, we established that the primary reason for never having been tested for HIV was thatrespondents perceived their risk of HIV infection to be low. This section examines perceptions of riskfor HIV in the subset of 97.4% of participants who provided information on testing history and whodid not self‐report HIV positive, regardless of their actual HIV status; those who self‐reported positivewould not be expected to perceive themselves at risk for HIV infection.On a national level it is important to have an understanding of people’s perceptions of risk and theaccuracy of these perceptions to better guide prevention efforts for the general population. At anindividual level, perceptions of risk can have an important effect on HIV test‐seeking behaviour andsexual behaviours.Figure 7.5a Perceived risk of HIV infection among women and men aged 15-64 years,Kenya 2007.*WomenMenModerate/Great Risk24.2%Small Risk49.0%Moderate/Great Risk15.5%Don't Know11.8%Small Risk40.8%Don't Know5.3%No Risk23.2%No Risk30.2%*Respondents who had previously tested for HIV and self‐reported positive based on the results of the last HIV test (approximately1%) were excluded from this analysis.Figure 7.5a More men than women perceived themselves to have small or no risk for HIV.KAIS respondents were asked “Do you think that your chance of getting AIDS is small, moderate orgreat or is there no risk at all?” Of all respondents aged 15‐64 years who had been tested for HIV butdid not self‐report positive based on their last HIV test, 70.7% of respondents believed they had smallor no risk of acquiring HIV, 20.4% of respondents reported themselves to be at moderate or great riskand 9.0% did not know (data not shown). Perceived risk differed significantly by sex: 79.2% of menbelieved themselves to be at small or no risk of HIV compared to 64.0% of women.KAIS 2007 130
Figure 7.5b HIV prevalence among women and men aged 15-64 years by perceived risk ofHIV infection, Kenya 2007.*1211.3WomenMen10.51088.37.97.4(Percent (%)65.24.76.14.55.5420No Risk Small Risk Moderate/Great Risk Don't Know Total*Respondents who had previously tested for HIV and self‐reported positive based on the results of the last HIV test (approximately1%) were excluded from this analysis.Figure 7.5b Women and men who perceived themselves to have moderate or great risk forHIV and those who did not know their risk level had the highest HIV prevalence.HIV prevalence and perceived risk of HIV infection were significantly associated. Women whoreported moderate or great risk or who did not know their HIV risk had higher HIV prevalence rates(11.3% and 7.9%, respectively) compared to women who reported no risk or small risk (5.2% and 6.1%,respectively). HIV prevalence among men who reported moderate or great risk of HIV infection or didnot know their risk was 8.3% and 10.5%, respectively. HIV prevalence was 4.7% among men whoperceived themselves to be at no risk, and 4.5% among men who perceived themselves to be at smallrisk. Overall, HIV prevalence was substantial among respondents who believed themselves to be at norisk (4.9%) or small risk (5.3%) for acquiring HIV (data not shown).Figure 7.5c examines the subset of respondents who reported no risk or small risk for HIV infection.This constitutes 70.7% of all KAIS respondents who had been tested for HIV and did not self‐reportpositive based on their last HIV test.KAIS 2007 131
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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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Population estimates reported in th
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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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Page 82 and 83: Population estimates reported in th
Page 84 and 85: Figure 5.3b Self-reported HIV statu
Page 86 and 87: This section examines participants
Page 88 and 89: Figure 5.5a Knowledge of HIV status
Page 90 and 91: Figure 5.5c Percent of partnerships
Page 92 and 93: uninfected. A couple was considered
Page 94 and 95: Figure 5.6c Women and men aged 15-6
Page 96 and 97: Sexual Partners, Sexual DebutCircum
Page 98 and 99: Figure 6.3b. HIV prevalence among w
Page 100 and 101: Figure 6.3d. HIV prevalence among w
Page 102 and 103: Figure 6.3f. Men aged 15-64 years r
Page 104 and 105: In this section, “consistent cond
Page 106 and 107: Figure 6.4c. Marital or cohabiting
Page 108 and 109: Figure 6.5b. Young women and men ag
Page 110 and 111: Figure 6.5d. Young women and men ag
Page 112 and 113: Figure 6.6a. Male circumcision amon
Page 114 and 115: Figure 6.6d. HIV prevalence among m
Page 116 and 117: Knowledge, Attitudes and Beliefs ch
Page 118 and 119: Figure 7.3b. Most common source of
Page 120 and 121: Figure 7.3c Women and men aged 15-6
Page 122 and 123: Figure 7.3e Overall scores for 12 q
Page 124 and 125: Figure 7.3g Women and men aged 15-6
Page 126 and 127: Figure 7.3i Correct responses to se
Page 128 and 129: • If a female teacher has the AID
Page 132 and 133: Figure 7.5c Reasons given for havin
Page 134 and 135: 7.6. Attitudes toward women’s rol
Page 136 and 137: 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
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The Ministry of Medical Services re
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10.3 COTRIMOXAZOLE PROPHYLAXIS FOR
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Coverage also varied significantly
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10.4 ARV ELIGIBILITY, COVERAGE AND
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ARV coverage was estimated by takin
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Figure 10.4b ARV coverage among HIV
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DATA IN CONTEXTEstimates of HIV-inf
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10.5 GAPS AND UNMET NEEDS• The es
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debilitating illness leading to hos
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Among HIV‐infected adults (83.6%
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Figure 11.3d HIV-infected adults ag
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Figure 11.4b HIV-infected adults ag
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Figure 11.4d HIV-infected adults ag
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DATA IN CONTEXTHIV Basic Care Packa
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Figure 11.5b HIV-infected adults ag
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Figure 11.6b Percent of HIV-infecte
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11.8 GAPS AND UNMET NEEDS• Counse
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12.3 HSV-2 prevalenceHSV‐2 preval
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807071.0WomenMen64.3HSV-2 Prevalenc
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Figure 12.3d HSV-2 prevalence among
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Figure 12.4b HSV-2 prevalence among
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Figure 12.5a HIV prevalence by HSV-
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Figure 12.6b Condom use during last
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12.7 Gaps and unmet needs• Increa
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also at substantially elevated risk
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Figure 13.3b Prevalence of syphilis
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Figure 13.3d Prevalence of syphilis
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Figure 13.3f Prevalence of syphilis
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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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