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

More documents

Recommendations

Info

Table 11.4 Prophylactic use of antimalarial drugs and use of Intermittent Preventive Treatment (IPT) by women duringpregnancyPercentage of women who took any antimalarial drugs for prevention of malaria, percentage who took SP/Fansidar, andpercentage who received Intermittent Preventive Treatment (IPT) during the pregnancy for their last live birth in the two yearspreceding the survey, by background characteristics, Tanzania HMIS 2007-08BackgroundcharacteristicPercentagewho took anyantimalarialdrugPercentagewho tookanySP/FansidarSP/Fansidar Intermittent Preventive Treatment 1Percentage who Percentage whoPercentage received any received 2+ doses,who took SP/Fansidar during at least one during2+ doses an ANC visit an ANC visitNumber ofwomenResidenceUrban 69.9 69.4 42.5 69.0 42.3 525Rural 57.3 56.7 28.3 55.0 27.6 2,520Mainland/ZanzibarMainland 59.0 58.4 30.1 57.0 29.6 2,967Mainland – Urban 70.1 69.5 42.6 69.2 42.4 506Dar es Salaam City 76.1 76.1 57.3 76.1 57.3 147Other Urban 67.6 66.8 36.5 66.4 36.3 359Mainland – Rural 56.8 56.1 27.5 54.4 27.0 2,461Zanzibar 78.4 78.4 55.4 73.9 51.5 77Region/IslandArusha 50.4 49.4 19.9 48.2 19.9 114Dar es Salaam 77.1 77.1 58.3 77.1 58.3 163Dodoma 70.0 68.8 30.0 67.2 29.2 117Iringa 51.1 51.1 29.8 48.8 29.8 120Kagera 65.1 63.6 33.5 60.0 29.9 192Kigoma 75.2 75.2 31.0 75.2 31.0 150Kilimanjaro 67.8 67.8 33.6 67.8 33.6 92Lindi 68.4 68.4 41.5 65.5 40.5 65Manyara 51.2 51.2 28.2 50.5 27.5 92Mara 43.4 41.8 21.7 34.0 19.7 128Mbeya 70.3 70.3 30.9 70.3 30.9 173Morogoro 70.5 68.8 43.8 68.8 43.8 137Mtwara 60.9 58.7 37.6 58.7 37.6 93Mwanza 37.6 36.7 15.9 33.9 15.9 279Pwani 63.5 62.2 31.9 62.2 31.9 61Rukwa 69.7 69.7 29.6 67.9 29.6 148Ruvuma 49.7 49.7 22.5 48.4 21.7 122Shinyanga 39.0 38.5 17.1 38.0 17.1 323Singida 81.1 81.1 46.2 80.1 45.2 80Tabora 58.4 57.7 27.6 57.7 27.6 200Tanga 74.3 74.3 43.6 71.7 42.4 119Pemba 87.2 87.2 58.0 82.4 54.3 31Unguja 72.5 72.5 53.7 68.2 49.7 47EducationNo education 47.0 47.0 22.9 45.6 22.3 754Primary incomplete 54.8 54.5 28.4 52.3 27.5 416Primary complete 64.7 63.7 33.2 62.3 32.7 1,726Secondary + 76.0 76.0 48.4 74.9 47.7 148ZoneWestern 52.9 52.4 23.3 52.1 23.3 672Northern 61.2 60.9 31.5 59.7 31.0 417Central 74.5 73.8 36.6 72.4 35.7 198Southern Highlands 64.9 64.9 30.2 63.6 30.2 441Lake 47.7 46.4 22.8 42.3 21.2 599Eastern 72.3 71.4 48.3 71.4 48.3 361Southern 57.7 57.0 31.9 55.7 31.4 279Zanzibar 78.4 78.4 55.4 73.9 51.5 77Wealth quintileLowest 47.3 47.0 24.7 45.6 24.3 691Second 56.0 55.1 26.8 53.3 25.8 664Middle 61.0 60.2 27.8 58.8 27.5 642Fourth 66.1 65.5 32.1 62.9 31.2 577Highest 72.2 72.1 47.5 71.7 47.3 471Total 59.5 58.9 30.7 57.4 30.2 3,0441Intermittent Preventive Treatment (IPT) is treatment with the antimalariaL drug SP/Fansidar during an antenatal care (ANC)visit.Malaria | 139
11.3 TREATMENT OF CHILDREN WITH FEVERIn malaria-endemic areas of sub-Saharan Africa, acute malaria clinical disease is almostalways confined to young children who suffer high parasite densities. If untreated, this can progressvery rapidly to severe malaria which can cause death. The diagnosis of malaria is based on clinicalcriteria (clinical diagnosis) and supplemented by the detection of parasites in the blood(parasitological or confirmatory diagnosis).11.4 PROMPT TREATMENT WITH ANTIMALARIAL DRUGSEarly treatment of malaria is critical to a positive outcome. Progression to severe malaria isoften rapid, and children may die within 48 hours of onset of illness. Treatment must therefore beprompt. Studies show that provision of early treatment for persons with uncomplicated malaria withinthe community reduces progression to severe disease (Armstrong Schellenberg et al., 2002).For each child under age five in the 2007-08 THMIS, mothers were asked if the child had hadfever in the two weeks preceding the survey, whether treatment was sought for the fever, and the typeof treatment given to the child for each episode. Table 11.5 shows the results.Nineteen percent of children under age five in Mainland Tanzania and 24 percent in Zanzibarhad a fever during the two weeks preceding the survey. Among children with a fever, 57 percent inMainland and 66 percent in Zanzibar received treatment with antimalarial drugs. The prevalence forMainland in the 2004-05 TDHS was similar (58 percent), but it was lower in Zanzibar (61 percent).Thirty-four percent of children with a fever in Mainland and 34 percent in Zanzibar received drugs onthe same day or the day after the fever started. These figures are significantly lower than those in the2004-05 TDHS (48 percent of children in Mainland and 51 percent in Zanzibar received prompttreatment for fever).Children living in urban areas are more likely than those in rural areas to receive antimalarialdrugs (69 percent and 54 percent, respectively). Similar figures are found in the 2004-05 TDHS (65and 57 percent, respectively). Furthermore, urban children are more likely than rural children toreceive treatment promptly.There are striking differences in the timing of treatment of children with fever across regions.Children in Arusha are the least likely to receive malaria treatment on the same day or the day afterthe fever started (5 percent), while children in Morogoro are most likely to receive prompt treatment(61 percent). In the 2004-05 TDHS the same regions showed similar extremes with Morogoro treating83 percent of children with a fever promptly, compared with 20 percent of children with a fever inArusha.The probability of having a fever in the two weeks preceding the survey does not differ muchby wealth quintile or education of the mother. However, children whose mothers have completedprimary school education and children from households in the highest wealth quintiles are more likelyto receive antimalarial drugs, and more likely to receive them quickly. The same findings werereported in the 2004-05 TDHS.140 | Malaria
Page 1 and 2:
TanzaniaHIV/AIDS and MalariaIndicat
Page 3 and 4:
The 2007-08 Tanzania HIV/AIDS and M
Page 5 and 6:
3.5 Access to Mass Media ..........
Page 7 and 8:
12.2 Orphans and Vulnerable Childre
Page 9 and 10:
Table 4.3Table 4.4Table 4.5Table 4.
Page 11 and 12:
Figure 9.2 HIV Prevlence by Region/
Page 14:
FOREWORDThis report presents the ma
Page 18 and 19:
SUMMARY OF FINDINGSThe 2007-08 Tanz
Page 20 and 21:
HIV prevalence among youth (women a
Page 23 and 24:
xxii | Map of Tanzania
Page 25 and 26:
1.2 NATIONAL POLICY ON HIV/AIDSIn r
Page 27 and 28:
To assess levels and trends in know
Page 29 and 30:
1.8 FIELDWORKData collection was ca
Page 31 and 32:
Table 1.1 Results of the household
Page 33 and 34:
Figure 2.1 presents a graphic pictu
Page 35 and 36:
Table 2.3.1 Educational attainment
Page 37 and 38:
Educational attainment is higher in
Page 39 and 40:
2.5.1 Energy SourcesTable 2.5 prese
Page 41 and 42:
The most common items are agricultu
Page 43 and 44:
The 2007-08 THMIS included aquestio
Page 45 and 46:
Table 3.1—ContinuedBackgroundchar
Page 47 and 48:
Education is positively related to
Page 49 and 50:
Table 3.3.2 Employment status: MenP
Page 51 and 52:
Table 3.4.1 Exposure to mass media:
Page 53 and 54:
3.6 CURRENT MARITAL STATUSMarriage
Page 55 and 56:
Polygyny also varies by household w
Page 57 and 58:
Four in ten women age 20-49 marry b
Page 59 and 60:
There is a positive relationship be
Page 62 and 63:
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 114: Table 7.8 Prevalence of medical inj
Page 117 and 118: Table 8.1 Comprehensive knowledge a
Page 119 and 120: Table 8.2 Age at first sexual inter
Page 121 and 122: Never-married women and men age 15-
Page 123 and 124: Figure 8.3 Condom Use at Premarital
Page 125 and 126: Table 8.5.2 Higher-risk sexual inte
Page 127 and 128: Table 8.6 Age-mixing in sexual rela
Page 129 and 130: 8.9 HIV TESTING AMONG YOUNG PEOPLEK
Page 132 and 133: HIV PREVALENCE 99.1 INTRODUCTIONPri
Page 134 and 135: Table 9.1 Coverage of HIV testing b
Page 136 and 137: Table 9.1—ContinuedBackgroundchar
Page 138 and 139: Table 9.3 HIV prevalence by ageAmon
Page 140 and 141: There are large variations in HIV p
Page 142 and 143: Table 9.5 shows that men who are cu
Page 144 and 145: Women who said they had higher-risk
Page 146 and 147: Table 9.8 shows data on HIV prevale
Page 148 and 149: Table 9.11 HIV prevalence by male c
Page 150 and 151: INFANT AND CHILD MORTALITY 1010.1 I
Page 152 and 153: As expected, the level of infant an
Page 154: category (1.41) is 41 percent highe
Page 157 and 158: 11.1 OWNERSHIP AND USE OF MOSQUITO
Page 159 and 160: carrying mosquitoes. Much of the fi
Page 161: 11.2 USE OF ANTIMALARIAL DRUGS DURI
Page 165 and 166: 11.4.1 Type and Timing of Antimalar
Page 167 and 168: 11.4.2 Availability of Drug at Home
Page 169 and 170: 11.6 SOURCE OF MOSQUITO NETSUntil l
Page 171 and 172: In spite of steady increases in ITN
Page 174 and 175: ORPHANS AND VULNERABLE CHILDREN 12P
Page 176 and 177: 12.2 ORPHANS AND VULNERABLE CHILDRE
Page 178 and 179: 12.3.1 School Attendance by Survivo
Page 180 and 181: While there are no differences in p
Page 182 and 183: Table 12.7 Widows dispossessed of p
Page 184 and 185: Table 12.9 External support for orp
Page 186 and 187: REFERENCESAgot, K.E., J.O. Ndinya-A
Page 188 and 189: SAMPLE IMPLEMENTATIONAPPENDIX AAppe
Page 190 and 191: Table A.2 Sample implementation: Me
Page 192 and 193: Table A.4 Coverage of HIV testing a
Page 194: Table A.6 Coverage of HIV testing a
Page 197 and 198: where h represents the stratum whic
Page 199 and 200: Table B.2 Sampling errors for Natio
Page 201 and 202: Table B.4 Sampling errors for Rural
Page 203 and 204: Table B.6 Sampling errors for Mainl
Page 205 and 206: Table B.8 Sampling errors for Mainl
Page 207 and 208: Table B.10 Sampling errors for Zanz
Page 209 and 210: Table B.12 Sampling errors for Nort
Page 211 and 212: Table B.14 Sampling errors for Sout
Page 213 and 214:
Table B.16 Sampling errors for East
Page 215 and 216:
Table B.18 Sampling errors for Dodo
Page 217 and 218:
Table B.20 Sampling errors for Kili
Page 219 and 220:
Table B.22 Sampling errors for Moro
Page 221 and 222:
Table B.24 Sampling errors for Dar
Page 223 and 224:
Table B.26 Sampling errors for Mtwa
Page 225 and 226:
Table B.28 Sampling errors for Irin
Page 227 and 228:
Table B.30 Sampling errors for Sing
Page 229 and 230:
Table B.32 Sampling errors for Rukw
Page 231 and 232:
Table B.34 Sampling errors for Shin
Page 233 and 234:
Table B.36 Sampling errors for Mwan
Page 235 and 236:
Table B.38 Sampling errors for Many
Page 237 and 238:
Table B.40 Sampling errors for Pemb
Page 239 and 240:
216 | Appendix B
Page 241 and 242:
Joyce MbambaYulitha MwakasoleRemigi
Page 244:
QUESTIONNAIRESAppendix DAppendix D
Page 247 and 248:
HOUSEHOLD SCHEDULEIntroduction and
Page 249 and 250:
IF AGE 0-17 YEARSIF AGE 5 YEARS OR
Page 251 and 252:
IF AGE 0-17 YEARSLINE SICK CARE SUR
Page 253 and 254:
HOUSEHOLD CHARACTERISTICSNO. QUESTI
Page 255 and 256:
NO. QUESTIONS AND FILTERS CODING CA
Page 257 and 258:
Page 259 and 260:
SUPPORT FOR SICK PEOPLENO. QUESTION
Page 261 and 262:
NO.QUESTIONS AND FILTERSSUPPORT FOR
Page 263 and 264:
NO.QUESTIONS AND FILTERSCODING CATE
Page 265 and 266:
CHILD 4 CHILD 5 CHILD 6502 LINE NUM
Page 267 and 268:
515 CHECK 509:NUMBER OF CHILDREN WI
Page 270 and 271:
UNITED REPUBLIC OF TANZANIATANZANIA
Page 272 and 273:
Page 274 and 275:
Page 276 and 277:
213 214 215 216217 218219 220221222
Page 278 and 279:
LAST BIRTH NEXT-TO-LAST BIRTH SECON
Page 280 and 281:
Page 282 and 283:
Page 284 and 285:
Page 286 and 287:
LASTSEXUAL PARTNERSECOND-TO-LASTSEX
Page 288 and 289:
Page 290 and 291:
Page 292 and 293:
Page 294 and 295:
Page 296 and 297:
SECTION 7 - HIV TESTTHIS PAGE TO BE
show all

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

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?