Tanzania HIV/AIDS and Malaria Indicator Survey ... - Measure DHS

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Table 7.8 Prevalence of medical injectionsPercentage of women and men age 15-49 who received at least one medical injection in the past 12 months, the average number of medicalinjections per person in the past 12 months, and among those who received a medical injection, the percentage of last medical injections forwhich the syringe and needle were taken from a new, unopened package, by background characteristics, Tanzania HMIS 2007-08BackgroundcharacteristicPercentagewhoreceived amedicalinjectionin the past12 monthsAveragenumber ofmedicalinjectionsper personin the past12 monthsWomenNumberofwomenFor lastinjection,syringeand needletaken froma new,unopenedpackageNumber ofwomenreceivingmedicalinjectionsin the past12 monthsPercentagewhoreceived amedicalinjectionin the past12 monthsAveragenumber ofmedicalinjectionsper personin the past12 monthsMenNumberofmenFor lastinjection,syringe andneedletaken froma new,unopenedpackageNumber ofmenreceivingmedicalinjections inthe past12 monthsAge15-24 38.6 1.2 3,730 98.3 1,440 20.6 0.7 2,916 95.7 60015-19 33.1 1.0 1,984 98.0 656 19.9 0.7 1,768 96.4 35120-24 44.9 1.4 1,746 98.5 784 21.7 0.7 1,148 94.6 24925-29 40.3 1.3 1,603 97.6 646 23.6 0.8 1,004 93.4 23730-39 34.1 1.3 2,521 99.0 859 21.8 0.9 1,846 95.8 40240-49 21.8 1.0 1,488 95.0 325 21.1 0.9 1,210 97.9 255ResidenceUrban 38.6 1.4 2,459 99.6 949 25.9 1.0 1,699 95.4 441Rural 33.7 1.2 6,884 97.4 2,322 20.0 0.7 5,276 95.9 1,054Mainland/ZanzibarMainland 35.3 1.2 9,034 98.0 3,185 21.5 0.8 6,763 95.7 1,451Mainland – Urban 38.9 1.4 2,353 99.6 915 26.3 1.0 1,628 95.5 427Dar es Salaam City 43.3 1.5 762 99.5 330 30.7 1.2 548 98.1 169Other Urban 36.7 1.4 1,591 99.7 585 24.0 1.0 1,079 93.7 259Mainland – Rural 34.0 1.2 6,681 97.3 2,270 19.9 0.7 5,136 95.8 1,023Zanzibar 27.5 1.0 309 98.8 85 20.6 0.7 212 96.5 44Region/IslandArusha 32.9 0.8 383 99.0 126 19.6 0.6 262 (94.0) 51Dar es Salaam 43.4 1.5 797 99.5 346 30.2 1.1 580 98.2 175Dodoma 28.8 0.9 338 99.0 97 15.9 0.6 255 (97.6) 41Iringa 29.4 1.0 403 98.9 118 23.4 0.8 286 (93.9) 67Kagera 47.0 1.3 495 97.4 232 27.5 1.3 397 94.8 109Kigoma 26.7 0.8 414 98.7 111 17.5 0.6 292 (98.2) 51Kilimanjaro 45.3 1.3 379 98.8 172 37.3 0.9 271 96.3 101Lindi 34.3 1.2 246 99.2 84 24.0 1.1 164 96.8 39Manyara 28.7 0.9 263 92.8 76 10.6 0.3 203 (92.1) 21Mara 37.5 1.8 368 99.4 138 19.1 0.9 243 97.0 47Mbeya 26.2 1.0 581 98.6 152 21.9 0.7 496 95.8 108Morogoro 37.2 1.2 436 96.3 162 17.8 0.6 340 (91.6) 60Mtwara 35.5 1.1 324 96.8 115 19.6 0.7 209 (91.9) 41Mwanza 40.8 1.5 833 99.0 340 15.1 0.5 608 (92.8) 92Pwani 37.9 1.1 203 92.3 77 25.7 1.2 119 (97.2) 30Rukwa 22.7 1.2 314 100.0 71 24.9 1.2 264 100.0 66Ruvuma 41.7 1.6 372 96.2 155 20.3 1.1 287 97.2 58Shinyanga 35.9 1.1 750 96.5 269 18.5 0.8 633 94.4 117Singida 21.6 0.9 194 98.2 42 8.3 0.3 153 100.0 13Tabora 26.9 1.2 518 97.6 139 16.9 0.7 404 97.3 68Tanga 38.2 1.7 424 99.0 162 31.5 1.0 298 93.9 94Pemba 29.1 0.9 94 98.9 27 21.9 0.9 63 99.0 14Unguja 26.8 1.0 214 98.8 57 20.0 0.7 148 95.4 30ZoneWestern 30.9 1.0 1,682 97.2 519 17.8 0.7 1,328 96.1 236Northern 36.9 1.2 1,449 98.1 535 25.9 0.8 1,034 94.7 268Central 26.2 0.9 532 98.8 139 13.0 0.5 408 98.2 53Southern Highlands 26.3 1.0 1,297 99.0 342 23.1 0.9 1,046 96.4 241Lake 41.9 1.5 1,696 98.6 710 19.8 0.8 1,249 94.5 248Eastern 40.8 1.4 1,436 97.7 585 25.6 1.0 1,038 96.6 266Southern 37.7 1.3 942 97.1 355 21.0 1.0 660 95.5 139Zanzibar 27.5 1.0 309 98.8 85 20.6 0.7 212 96.5 44EducationNo education 23.7 0.8 1,983 96.9 470 14.6 0.5 829 96.1 121Primary incomplete 33.9 1.1 1,517 97.3 515 21.2 0.9 1,534 94.9 326Primary complete 39.0 1.4 4,945 98.2 1,931 22.0 0.8 3,597 95.7 792Secondary + 39.4 1.3 898 99.7 354 25.2 0.9 1,016 96.7 256Wealth quintileLowest 27.5 0.9 1,700 95.5 468 16.7 0.7 1,173 96.9 196Second 30.5 1.0 1,634 97.7 499 18.6 0.8 1,411 94.0 262Middle 36.2 1.2 1,757 97.6 635 21.7 0.8 1,322 94.8 287Fourth 38.2 1.5 1,867 98.3 713 22.5 0.9 1,395 97.3 314Highest 40.0 1.4 2,384 99.5 955 26.0 0.9 1,670 95.8 434Total 35.0 1.2 9,343 98.0 3,270 21.4 0.8 6,975 95.7 1,494Note: Medical injections are those given by a doctor, nurse, pharmacist, dentist, or other health worker. Figures in parentheses are based on25-49 unweighted cases.HIV/AIDS-Related Behaviour | 91
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TanzaniaHIV/AIDS and MalariaIndicat
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The 2007-08 Tanzania HIV/AIDS and M
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3.5 Access to Mass Media ..........
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12.2 Orphans and Vulnerable Childre
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Table 4.3Table 4.4Table 4.5Table 4.
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Figure 9.2 HIV Prevlence by Region/
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FOREWORDThis report presents the ma
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SUMMARY OF FINDINGSThe 2007-08 Tanz
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HIV prevalence among youth (women a
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xxii | Map of Tanzania
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1.2 NATIONAL POLICY ON HIV/AIDSIn r
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To assess levels and trends in know
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1.8 FIELDWORKData collection was ca
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Table 1.1 Results of the household
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Figure 2.1 presents a graphic pictu
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Table 2.3.1 Educational attainment
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Educational attainment is higher in
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2.5.1 Energy SourcesTable 2.5 prese
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The most common items are agricultu
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The 2007-08 THMIS included aquestio
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Table 3.1—ContinuedBackgroundchar
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Education is positively related to
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Table 3.3.2 Employment status: MenP
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Table 3.4.1 Exposure to mass media:
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3.6 CURRENT MARITAL STATUSMarriage
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Polygyny also varies by household w
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Four in ten women age 20-49 marry b
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There is a positive relationship be
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FERTILITY AND REPRODUCTIVE HEALTH 4
Page 64 and 65: Table 4.2 Fertility by background c
Page 66 and 67: infertility, 1 or the inability to
Page 68 and 69: 4.3 ADOLESCENT FERTILITYAdolescent
Page 70 and 71: Table 4.7 Antenatal carePercent dis
Page 72: Table 4.8 Place of antenatal carePe
Page 75 and 76: Table 5.1 Knowledge of AIDSPercenta
Page 77 and 78: The use of condoms as an effective
Page 79 and 80: Table 5.3.2 Comprehensive knowledge
Page 81 and 82: more education) and those in the fo
Page 83 and 84: Table 5.5.1 Exposure to HIV educati
Page 85 and 86: 5.6 KNOWLEDGE AND ATTITUDE CONCERNI
Page 87 and 88: Table 5.6.2 Knowledge and attitudes
Page 89 and 90: Table 6.1.1 Accepting attitudes tow
Page 91 and 92: Stigma is also found to vary with l
Page 93 and 94: 6.3 ATTITUDES OF ADULTS TOWARDS EDU
Page 96 and 97: HIV/AIDS-RELATED BEHAVIOUR 77.1 INT
Page 98 and 99: Table 7.2.1 Recent sexual activity:
Page 100 and 101: Figure 7.1 Recent Sexual Intercours
Page 102 and 103: Table 7.3.2 Multiple sexual partner
Page 104 and 105: Table 7.4 Payment for sexual interc
Page 106 and 107: Table 7.5.1 Coverage of prior HIV t
Page 108 and 109: Figure 7.2 Prior HIV Testing by Edu
Page 110 and 111: 7.7 PREVALENCE OF SEXUALLY TRANSMIT
Page 112 and 113: Figure 7.3 Prevalence of STIs and S
Page 116 and 117: YOUTH AND HIV/AIDS 88.1 INTRODUCTIO
Page 118 and 119: Figure 8.1 Knowledge of a Source fo
Page 120 and 121: 8.4 CONDOM USE AT FIRST SEXAlong wi
Page 122 and 123: Table 8.4 Premarital sexual interco
Page 124 and 125: Table 8.5.1 Higher-risk sexual inte
Page 126 and 127: Figure 8.4 Higher-risk Sexual Inter
Page 128 and 129: Table 8.7 Drunkenness during sexual
Page 130: Table 8.8 Recent HIV tests among yo
Page 133 and 134: Thus, although the information from
Page 135 and 136: Table 9.1—ContinuedPercentageinte
Page 137 and 138: Table 9.2 Coverage of HIV testing b
Page 139 and 140: Table 9.4 HIV prevalence by socio-e
Page 141 and 142: There is also no consistent pattern
Page 143 and 144: on issues of HIV, sexual behaviour
Page 145 and 146: Table 9.7 HIV prevalence among youn
Page 147 and 148: Table 9.9 HIV prevalence by other c
Page 149 and 150: Table 9.12 HIV prevalence among cou
Page 151 and 152: Table 10.1 Early childhood mortalit
Page 153 and 154: Mother’s age at birth is associat
Page 156 and 157: MALARIA 11Malaria is a major public
Page 158 and 159: Table 11.1 Ownership of mosquito ne
Page 160 and 161: Table 11.3 Use of mosquito nets by
Page 162 and 163: Table 11.4 Prophylactic use of anti
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Table 11.5 Prevalence and prompt tr
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Table 11.6—ContinuedPercentage of
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Table 11.8 Residual indoor spraying
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Table 11.9 Source of mosquito netsA
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Malaria parasites were detected in
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who are not living with a biologica
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Table 12.2—Continued12 months 1 1
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12.3.2 Basic Material NeedsThe 2007
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clothes, shelter and protection bec
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Table 12.8 shows the percentage of
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The table shows that support is not
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Prime Minister’s Office [Tanzania
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Table A.1 Sample implementation: Wo
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Table A.3 Coverage of HIV testing a
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Table A.5 Coverage of HIV testing a
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ESTIMATES OF SAMPLING ERRORSAppendi
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Table B.1 List of selected variable
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Table B.3 Sampling errors for Urban
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Table B.5 Sampling errors for Mainl
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Table B.11 Sampling errors for West
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Table B.13 Sampling errors for Cent
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Table B.15 Sampling errors for Lake
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Table B.17 Sampling errors for Sout
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Table B.19 Sampling errors for Arus
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Table B.21 Sampling errors for Tang
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Table B.23 Sampling errors for Pwan
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Table B.25 Sampling errors for Lind
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Table B.27 Sampling errors for Ruvu
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Table B.29 Sampling errors for Mbey
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Table B.31 Sampling errors for Tabo
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Table B.33 Sampling errors for Kigo
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Table B.35 Sampling errors for Kage
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Table B.37 Sampling errors for Mara
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Table B.39 Sampling errors for Ungu
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Appendix B | 215
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PERSONS INVOLVED IN THE 2007-08TANZ
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Flora MbwamboGetrude H.LwaloKhadija
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UNITED REPUBLIC OF TANZANIATANZANIA
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IF AGE 0-17 YEARSLINE SICK CARE SUR
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HOUSEHOLD SCHEDULEIntroduction and
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IF AGE 0-17 YEARSIF AGE 5 YEARS OR
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NO. QUESTIONS AND FILTERS CODING CA
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SUPPORT FOR PERSONS WHO HAVE DIEDNO
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1ST CHILD 2ND CHILD 3RD CHILD 4TH C
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ANAEMIA AND MALARIA TESTING FOR CHI
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CONSENT STATEMENT FOR ANAEMIA AND M
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INTERVIEWER'S OBSERVATIONSTO BE FIL
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SECTION 1 - RESPONDENT'S BACKGROUND
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SECTION 2 - REPRODUCTIONNO. QUESTIO
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212 Now I would like to record the
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SECTION 3. ANTENATAL CARE AND CHILD
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LAST BIRTH NEXT-TO-LAST BIRTH SECON
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LAST BIRTH NEXT-TO-LAST BIRTH SECON
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SECTION 4 - MARRIAGE AND SEXUAL ACT
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LASTSEXUAL PARTNERSECOND-TO-LASTSEX
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SECTION 5 - HIV/AIDSNO. QUESTIONS A
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SECTION 6 - OTHER HEALTH ISSUESNO.
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INTERVIEWER'S OBSERVATIONSTO BE FIL
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