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

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Figure 14.7a Households that owned at least one mosquito bednet by province andrural/urban residence, Kenya 2007.100NationalTarget: 80%Percent of Households with at Least 1 Net (%)8060402053.234.171.263.343.678.640.871.754.859.856.10Nairobi Central Coast Eastern NE Nyanza RiftValleyWestern Rural Urban TotalFigure 14.7a Bednet ownership was marginally higher in urban households than inrural households.Bednet ownership varied significantly by province. Given that the need for mosquito nets is notuniform across the country, coverage of nets is also not expected to be uniform. In the 2007 KAIS,Nyanza, Western and Coast provinces had the highest coverage, ranging from 71.2% to 78.6% ofhouseholds; malaria is endemic in these provinces and risk is year‐round. Coverage in Centralprovince appeared to be low at 34.1%, but most parts of this province (and Nairobi) are notconsidered malaria zones. In 2007, the gap between rural and urban household net ownership hadnarrowed to five percentage points (54.8% and 59.8%, respectively) from 21 percentage points in2003 (16.6% in rural households compared to 37.6%). Nonetheless, in 2007, the percent ofhouseholds owning at least one bednet was marginally higher in urban households than in ruralhouseholds.KAIS 2007 256
Figure 14.7b HIV-affected and HIV-unaffected households that owned at least onemosquito bednet by rural/urban residence, Kenya 2007.80Percent of Housholds with at Least 1 Bednet (%)60402065.055.657.360.262.956.80Rural Urban TotalHIV-affectedHIV-unaffectedFigure 14.7b In rural areas, a significantly greater percent of HIV-affected householdsowned at least one mosquito bednet compared to HIV-unaffected households.Overall, 62.9% of HIV‐affected households and 56.8% of HIV‐unaffected households owned at leastone bednet. This pattern was different in rural areas compared to urban areas. Among ruralhouseholds with at least one HIV‐infected household member, 65.0% owned at least one bednet,compared to 55.6% of households with no HIV‐infected members. This association was significant. Incontrast, there was no significant difference in mosquito bednet ownership between HIV‐affected andHIV‐unaffected households in urban areas (57.3% and 60.2%, respectively).Table 14.7a. Mean number of bednets among HIV-affected and HIV-unaffected households byrural/urban residence, Kenya 2007.HIV-affectedhouseholdsHIV-unaffectedhouseholdsTotal householdsResidenceRural 1.32 1.13 1.15Urban 1.00 1.09 1.08Total 1.24 1.12 1.13Similar to findings presented in figure 14.7b, the mean number of nets (treated or untreated) owned byhouseholds in rural areas varied significantly by HIV‐affected and –unaffected status; affectedKAIS 2007 257
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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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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
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
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: 14.7 HOUSEHOLD OWNERSHIP OF MOSQUIT
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
Page 270 and 271: Figure 15.3b. Participants aged 15-
Page 272 and 273: Figure 15.3d. Participants aged 15-
Page 274 and 275: Figure 15.3f. Participants aged 15-
Page 276 and 277: 15.4 RETURNING TO RECEIVE TEST RESU
Page 278 and 279: Figure 15.5 Women aged 15-64 years
Page 280 and 281: Methods of the 2007 KAISThis Append
Page 282 and 283: ClustersHouseholdsProvince Rural Ur
Page 284 and 285: and treatment services and other he
Page 286 and 287: The KEMRI Ethical Review Committee
Page 288 and 289: Red top (5 ml)Whole blood collected
Page 290 and 291: algorithm using two HIV EIAs (Viron
Page 292 and 293: Figure A5.a. Structure and flow of
Page 294 and 295: Recruitment and training of results
Page 296 and 297: observe confidentiality of particip
Page 298 and 299: Documentation. Results counsellors
Page 300 and 301: Normalisation of weightsNormalised
Page 302 and 303: This report presents the results of
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