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

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Population estimates reported in this chapter were calculated based 2007 projected population byprovince, age and sex reported in Revised Population Projections for Kenya 2000‐2020. Kenya NationalBureau of Statistics (August 2006). Weighted national estimates for selected indicators from the 2007KAIS were used in these calculations. Methods used for calculating population estimates are describedin Appendix A.5.3. Knowledge of HIV infectionIn this section we focus on respondents who were found to be HIV‐infected in the 2007 KAIS based onlaboratory test results from the survey. We present information on those who knew and those who didnot know they were infected with HIV.DATA IN CONTEXTSelf-reported HIV status based on most recent HIV test and 2007 KAIS HIV test results98.1% of respondents were willing to share theresults of their last HIV test.Self-reported HIV status allows us to compare what people believed their HIV status to bebased on their last HIV test to actual HIV status based on laboratory testing results in the2007 KAIS. The following categories are used in this report:• Self-reported positive: respondent reported that he/she had ever had an HIV testand that the most recent test result was positive.• Self-reported negative: respondent reported that he/she had ever had an HIV testand that the most recent test result was negative.• HIV-infected: respondent consented to testing in KAIS and result was positive.• HIV-uninfected: respondent consented to testing in KAIS and result was negative.KAIS 2007 82
Figure 5.3a Self-reported HIV status among HIV-infected persons aged 15-64 years, Kenya2007.Self-reportedpositive16.4%Never tested ornever receivedresults56.0%Self-reportednegative27.6%Figure 5.3a The majority of HIV-infected persons did not know they were HIV-infected.Among all HIV‐infected persons in the 2007 KAIS, only 16.4% self‐reported positive based on their lastHIV test. Overall, 27.6% of HIV‐infected persons self‐reported negative, that is, these participantsbelieved themselves to be HIV‐uninfected based on the results of their last HIV test. The remaining56.0% reported that they had either never been tested or had been tested but never received a testresult. HIV‐infected women (31.4%) were significantly more likely than men (19.5%) to self‐reportnegative based on their last test result. In total, 83.6% of HIV‐infected adults aged 15‐64 years wereunaware of their HIV infection because they had never been tested, had been tested but never receiveda test result, or believed themselves to be uninfected based on their last test. Based on these findings, in2007, an estimated 1.1 million HIV‐infected adults nationwide were unaware of their HIV status,including an estimated 700,000 women and 400,000 men.Although 45.0% of HIV‐infected persons reported having had a previous HIV test before the 2007KAIS, the majority (62.8%) of these persons self‐reported negative based on their last test result. Manyof these people may have become HIV‐infected since their previous test. Most respondents (56.4%), forexample, reported that their last HIV test was performed over 12 months prior to the 2007 KAIS. Thesepersons may have been exposed and infected since their last negative test. In addition, the medianCD4 cell count was higher in this group (595.0 cells/μL) suggesting possible recent infection, ascompared to HIV‐infected respondents who self‐reported positive (412.0 cells/μL), 51.4% of whomwere currently on antiretroviral therapy. It is also possible that some of these individuals knew theywere HIV‐infected but did not answer the question about their HIV status accurately, although theywere given a special opportunity to opt‐out of answering this question and only 1.9% declined toanswer.KAIS 2007 83
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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
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 66 and 67: Population estimates reported in th
Page 68 and 69: Figure 4.3c Ever been tested for HI
Page 70 and 71: Figure 4.3e 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
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 130 and 131: 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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