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

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Figure 4.3e Ever been tested for HIV among women and men aged 15-64 years, by wealthindex 12 , Kenya 2007.806055.5Weighted (%) Ever tested402031.314.3Women Men33.4 34.016.221.541.524.939.640.724.90Lowest Second Middle Fourth Highest TotalWealth IndexFigure 4.3e Wealthier women and men were more likely to have been tested for HIV thanpoorer women and men.Women and men in the highest wealth quintile were significantly more likely to have ever been testedfor HIV (55.5% and 39.6%, respectively) than those in the lowest wealth quintile (31.3% and 14.3%,respectively). Testing rates were significantly higher among women compared to men for all incomelevels.In the following section (Figures 4.3f‐h) we focus on testing behaviour by age and marital status.Because potential exposure to HIV is most commonly associated with sexual experience, we limitedanalyses only to those who reported ever having sex. Overall, among adults aged 15‐64 years, 88.7% ofwomen and 86.0% of men reported they ever had sex. The percentage of women and men who hadever been tested for HIV was significantly higher among those who had ever had sex (44.7% and 27.6%,respectively) compared to those who had not had sex (9.8 and 8.1%, respectively).12The wealth index was a composite measure of the living standard of a household, calculated using dataon a household’s ownership of selected assets, materials used for housing construction, water access andsanitation facilities. The wealth index placed households on a continuous scale of relative wealth usingprincipal components analysis. Individuals were ranked according to the score of the household in whichthey resided and the sample was divided into five groups, each with an equal number of individuals(quintiles), ranging from the lowest to highest level of wealth.KAIS 2007 70
Figure 4.3f Ever been tested for HIV among women and men aged 15-64 years who everhad sex by five-year age group, Kenya 2007.10080WomenMen66.2Weighted (%) Ever tested60402045.815.132.261.352.433.8 34.043.430.731.426.823.8 24.221.716.019.3 18.915.644.727.66.0015-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 TotalAge Group (years)Figure 4.3f HIV testing rates were highest among younger women aged 20-24 years.Among women who ever had sex, peak HIV testing rates were observed among those aged 20‐24years (66.2%). Testing rates decreased steadily thereafter with increasing age. Among men, the highestrate of testing was among men aged 30‐34 years (34.0%), and similar to women, test rates decreasedthereafter with increasing age, with the exception of men aged 50‐54 years where HIV testing rateswere similar to men aged 45‐49 years. HIV testing rates were significantly higher among women ofreproductive age (15‐49 years) compared to men in the same age group. Among older adults (aged 50‐64 years), however, HIV testing was significantly higher in men compared to women.KAIS 2007 71
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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
Page 19 and 20: Table 1.4 Distribution of sampled c
Page 22 and 23: 1.7 SURVEY IMPLEMENTATIONTrainingIn
Page 24 and 25: Data processing included a number o
Page 26 and 27: Characteristic 2003 KDHS 2007 KAISQ
Page 28 and 29: Figure 1.11 Sampled clusters and el
Page 30 and 31: Table 1.11c Survey response rates b
Page 32 and 33: Population estimates reported in th
Page 34 and 35: 2.4 HIV PREVALENCE AMONG YOUTHFigur
Page 36 and 37: Figure 2.6b HIV prevalence among ru
Page 38 and 39: 2.7 HIV PREVALENCE BY PROVINCEFigur
Page 40 and 41: Figure 2.7c Estimated number of HIV
Page 42 and 43: 2.9 HIV PREVALENCE BY EDUCATION LEV
Page 44 and 45: Figure 2.10b HIV prevalence among r
Page 46 and 47: 2.11 HIV PREVALENCE BY TIME AWAY FR
Page 48 and 49: 2.13 MALE CIRCUMCISION AND ASSOCIAT
Page 50 and 51: Figure 2.13c HIV prevalence among c
Page 52 and 53: Comparison of HIV Prevalence in the
Page 54 and 55: 3.3 SEXFigure 3.3a HIV prevalence a
Page 56 and 57: Figure 3.4b. HIV prevalence among m
Page 58 and 59: 3.7 PROVINCEFigure 3.7a HIV prevale
Page 60 and 61: 2003 KDHS 1 2007 KAIS 2Marital stat
Page 62 and 63: 3.10 WEALTH INDEXFigure 3.10a HIV p
Page 64 and 65: DATA IN CONTEXT: APPROACHES TO HIV
Page 68 and 69: Figure 4.3c Ever been tested for HI
Page 72 and 73: Figure 4.3g Women aged 15-49 years
Page 74 and 75: Figure 4.4a Time since last HIV tes
Page 76 and 77: Figure 4.5a Reasons for not testing
Page 78 and 79: Increasing access to HIV testing wi
Page 80 and 81: 4.7. Gaps and unmet needs• Two‐
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
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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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Figure 9.3a Source of blood donatio
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Figure 9.3b Source of blood donatio
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Figure 9.3d Source of blood donatio
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9.4 Blood transfusionsAlthough the
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10080Injec tionsPillsNo preferenceW
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HIV prevalence among adults who rep
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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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