Zambia Demographic and Health Survey 2001-2002 - Measure DHS

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LAST BIRTHNEXT-TO-LAST BIRTH471 Where did you seek advice ortreatment?Anywhere else?NAMEPUBLIC SECTORGOVT. HOSPITAL ...........AGOVT. HEALTH CENTER .....BGOVT. HEALTH POST .......CNAMEPUBLIC SECTORGOVT. HOSPITAL ...........AGOVT. HEALTH CENTER .....BGOVT. HEALTH POST .......CRECORD ALL SOURCES MENTIONED.OTHER PUBLIC(SPECIFY)DOTHER PUBLIC(SPECIFY)DPRIVATE MEDICAL SECTORPVT. HOSPITAL/SURGERY .... EMISSION HOSPITAL/CLINIC .... FPHARMACY ...............GPRIVATE DOCTOR ..........HCOMMUNITY-BASED AGENT ...IOTHER PRIVATEMEDICALJ(SPECIFY)OTHER SOURCESHOP ....................KTRAD. PRACTITIONER ....... LPRIVATE MEDICAL SECTORPVT. HOSPITAL/SURGERY .... EMISSION HOSPITAL/CLINIC .... FPHARMACY ...............GPRIVATE DOCTOR ..........HCOMMUNITY-BASED AGENT ...IOTHER PRIVATEMEDICALJ(SPECIFY)OTHER SOURCESHOP ....................KTRAD. PRACTITIONER ....... LOTHER(SPECIFY)XOTHER(SPECIFY)X471AHas (NAME) been ill with convulsionsor fits at any time in the last 2 weeks?YES ........................ 1NO ......................... 2DON’T KNOW ................ 8YES ........................ 1NO ......................... 2DON’T KNOW ................ 8472A CHECK 466 AND 471A:HAD FEVER OR CONVULSIONS ORFITS?“YES” IN 466OR 471A+)),/))-*?“NO”/”DK” IN466 AND 471A+)),/))-?(SKIP TO 475)“YES” IN 466OR 471A+)),/))-*?“NO”/”DK” IN466 AND 471A+)),/))-?(SKIP TO 475)473 Did (NAME) take any medicine for the(fever/convulsions/fits)?474 What drugs did (NAME) take?RECORD ALL MENTIONED.ASK TO SEE DRUG(S) IF TYPE OFDRUG IS NOT KNOWN. IF TYPE OFDRUG IS STILL NOT DETERMINED,SHOW TYPICAL ANTIMALARIALDRUGS TO RESPONDENT.YES ........................ 1NO ......................... 2(SKIP TO 474N)=)))))))1DON’T KNOW ................ 8ANTI-MALARIALCHLOROQUINE .............AFANSIDAR ................BQUININE ..................COTHER DRUGSASPIRIN ..................DPANADOL ................ EHERBS/TRADITIONALMEDICINE .............. FOTHERX(SPECIFY)DON’T KNOW ............... ZYES ........................ 1NO ......................... 2(SKIP TO 474N)=)))))))1DON’T KNOW ................ 8ANTI-MALARIALCHLOROQUINE .............AFANSIDAR ................BQUININE ..................COTHER DRUGSASPIRIN ..................DPANADOL ................ EHERBS/TRADITIONALMEDICINE ......... FOTHERX(SPECIFY)DON’T KNOW ............... Z474ADid (NAME) get any injection orsuppository for the(fever/convulsions/fits)?INJECTION ...................ASUPPOSITORY ...............BNONE ......................YDON’T KNOW ................ZINJECTION ...................ASUPPOSITORY ...............BNONE ..................... YDON’T KNOW ................Z26
LAST BIRTHNEXT-TO-LAST BIRTH474B CHECK 474:CHLOROQUINE?NAMECODE “A" CODE “A"CIRCLED NOT CIRCLED(CHLOROQUINE)+)), +)),/))- /))-* ?? (SKIP TO 474F)NAMECODE “A" CODE “A"CIRCLED NOT CIRCLED(CHLOROQUINE)+)), +)),/))- /))-* ?? (SKIP TO 474F)474CHow long after the(fever/convulsions/fits) started did(NAME) first take Chloroquine?SAME DAY .................. 0NEXT DAY .................. 1TWO DAYS AFTER THE FEVER . 2THREE OR MORE DAYSAFTER THE FEVER .......... 3DON’T KNOW ................ 8SAME DAY .................. 0NEXT DAY .................. 1TWO DAYS AFTER THE FEVER . 2THREE OR MORE DAYSFTER THE FEVER ........... 3DON’T KNOW ................ 8474DFor how many days did (NAME) takethe Chloroquine?IF 7 OR MORE DAYS, RECORD ‘7'.+)))),DAYS ..................*!!!!*.))))-DON’T KNOW ............... 8+)))),DAYS ..................*!!!!*.))))-DON’T KNOW ............... 8474EDid you have the chloroquine at homeor you got it from somewhere else?AT HOME ................... 1OTHER SOURCE .............. 2DON’T KNOW ................ 8AT HOME ................... 1OTHER SOURCE .............. 2DON’T KNOW ................ 8474F CHECK 474:FANSIDAR?CODE “B" CODE “B"CIRCLED NOT CIRCLED(FANSIDAR)+)), +)),/))- /))-* ?? (SKIP TO 474J)CODE “B" CODE “B"CIRCLED NOT CIRCLED(FANSIDAR)+)), +)),/))- /))-* ?? (SKIP TO 474J)474GHow long after the(fever/convulsions/fits) started did(NAME) first take Fansidar?SAME DAY .................. 0NEXT DAY .................. 1TWO DAYS AFTER THE FEVER . 2THREE OR MORE DAYSAFTER THE FEVER .......... 3DON’T KNOW ................ 8SAME DAY .................. 0NEXT DAY .................. 1TWO DAYS AFTER THE FEVER . 2THREE OR MORE DAYSAFTER THE FEVER .......... 3DON’T KNOW ................ 8474HFor how many days did (NAME) takeFansidar?IF 7 OR MORE DAYS, RECORD ‘7'.+)))),DAYS ..................*!!!!*.))))-DON’T KNOW ............... 8+)))),DAYS ..................*!!!!*.))))-DON’T KNOW ............... 8474IDid you have the Fansidar at home oryou got it from somewhere else?AT HOME ................... 1OTHER SOURCE .............. 2AT HOME ................... 1OTHER SOURCE .............. 2IF MORE THAN ONE SOURCEMENTIONED, ASK WHERE DID YOU GETTHE FANSIDAR FIRST.DON’T KNOW ................ 8DON’T KNOW ................ 8474J CHECK 474:QUININE?CODE “C" CODE “C"CIRCLED NOT CIRCLED(QUININE)+)), +)),/))- /))-* ?? (SKIP TO 474N)CODE “C" CODE “C"CIRCLED NOT CIRCLED(QUININE)+)), +)),/))- /))-* ?? (SKIP TO 474N)27
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ZambiaDemographic andHealth Survey2
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This report summarises the findings
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Page3.6 Women’s Employment ......
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Page11.3.2 Micronutrient Intake amo
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PageA.7 Sample Selection ..........
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PageTable 3.11 Decision on use of e
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Table 7.7 Wanted fertility rates ..
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PageTable 13.5 Discussion of HIV/AI
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PREFACEThe Zambia Demographic and H
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FAMILY PLANNINGKnowledge of contrac
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According to mothers’ reports, ar
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ZAMBIALake TanganyikaLake MweruTanz
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The 1980s marked the start of the f
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the peripheral structures. An impor
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ing in private households in the co
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subjects agreed) received a referra
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confidentiality.Finally, in additio
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CHARACTERISTICS OF HOUSEHOLDS AND2R
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Figure 2.2 Distribution of De Facto
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2.4 EDUCATIONAL LEVEL OF HOUSEHOLD
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Figure 2.3 Percent Distribution of
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Figure 2.4 Net and Gross Attendance
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2.5 HOUSING CHARACTERISTICS ANDHOUS
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Thirty percent of households own a
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CHARACTERISTICS OF RESPONDENTS3AND
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enrolment ratios suggest that educa
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3.3 LITERACYThe ability to read is
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Figure 3.1 Youth Literacy100 Percen
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3.5 MEN’S EMPLOYMENTMale responde
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Table 3.6 Occupation: menPercent di
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Table 3.8 Employment status: womenP
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non-agricultural occupations, since
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Table 3.12 Women’s control over e
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Table 3.14.1 Women’s participatio
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Table 3.14.2 Women’s participatio
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Table 3.15.1 Women’s attitudes to
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3.7.3 Attitudes toward Refusing Sex
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Table 3.16.2 Men’s attitudes towa
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Table 3.17.1 Smoking of tobacco: wo
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FERTILITY4Richard Banda and Margare
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As the comparison in Figure 4.1 ind
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Figure 4.3 Total Fertility Rate by
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Table 4.4 Trends in fertility by ba
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Results from the 2001-2002 ZDHS ind
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The median birth interval is 33 mon
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4.6 TEENAGE FERTILITYAdolescent chi
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FERTILITY REGULATION5Mika Bwembya a
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Table 5.1.2 Knowledge of contracept
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Seventy percent of currently marrie
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Table 5.4 Current use of contracept
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Table 5.7 Number of children at fir
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Table 5.10 Source of contraceptionP
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The pattern is slightly different f
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5.14 EXPOSURE TO FAMILY PLANNING ME
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Table 5.16.1 Exposure to specific r
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Table 5.17 shows that 18 percent of
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Table 5.19 Attitudes of couples tow
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Table 6.1 shows that one-fourth of
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Table 6.3 Age at first marriagePerc
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Table 6.5 Age at first sexual inter
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Table 6.7.1 Recent sexual activity:
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Almost four in ten (38 percent) of
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FERTILITY PREFERENCES AND UNMET NEE
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The above results show an increase
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7.3 UNMET NEED FOR FAMILY PLANNINGW
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Figure 7.4 Unmet Need for Spacing a
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The mean ideal number of children f
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Table 7.7 shows the total wanted fe
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Fifty-nine percent of all neonatal
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Table 8.3 Early childhood mortality
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Table 8.5 Early childhood mortality
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Only 27 percent of births are in a
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MATERNAL AND CHILD HEALTH9Miriam Ch
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Expectant mothers should beginanten
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There are particularly sharp differ
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Table 9.5 Place of deliveryPercent
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Table 9.7 shows that only 2 percent
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Table 9.8 Postnatal carePercent dis
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Table 9.9 Visits by health workersP
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Table 9.10.2 Neighbourhood Health C
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No major variations were observed w
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Table 9.13 Vaccinations by backgrou
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Table 9.14 Prevalence of injections
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Eastern province has the highest pr
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Table 9.18 Diarrhoea treatmentPerce
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Table 9.20 Household knowledge and
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10.1.1 Use of Bednets by Children a
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Table 10.4 Use of antimalarial drug
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Luapula province has the highest pe
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INFANT FEEDING, NUTRITIONAL PRACTIC
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than half (51 percent) of the infan
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tamination after cleaning, the nipp
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11.2 COMPLEMENTARY FEEDING11.2.1 Ty
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Few children under two years of age
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Table 11.6 Iodisation of household
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11.3.2 Micronutrient Intake among C
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11.3.3 Micronutrient Supplementatio
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11.4 HOUSEHOLD FOOD SECURITYFood se
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Table 11.12 Nutritional status of c
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Table 11.12 indicates that children
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VIOLENCE AGAINST WOMEN 12Mary Kazun
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Table 12.2 Experience of beatings o
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Results show that almost eight out
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Table 12.5 Experience of sexual vio
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More than four out of ten never-mar
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AIDS/HIV/STI-RELATED KNOWLEDGE AND1
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Table 13.2 Knowledge of ways to avo
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Knowledge of HIV prevention methods
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Table 13.5 Discussion of HIV/AIDS w
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The view that HIV status of a famil
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Table 13.8 Knowledge of “Trendset
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Figure 13.1 Unmet Need for HIV Test
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Table 13.10 Men's attitudes toward
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Men in sales and services and skill
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Table 13.13 Alcohol consumption by
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Table 13.14.2 Knowledge of symptoms
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The peak age for having STI symptom
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used condoms, 34 percent took medic
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The practice of having multiple par
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Table 13.21 Use of condoms by type
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PREVALENCE OF HIV AND SYPHILIS 14Ku
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14.1.2 Coverage for HIV Testing by
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14.1.3 Approach to Weighting Syphil
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14.2 SYPHILIS PREVALENCE RATES 1Tab
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Table 14.8 Syphilis prevalence by a
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The 2001-2002 ZDHS data can be used
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Figure 14.2 illustrates the distinc
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Figure 14.3 HIV Prevalence AmongWom
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ADULT MORTALITY15Ann A. WayData col
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Table 15.2 Adult mortality ratesDir
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While again not definitive, the res
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124 | ReferencesGaisie, K., A. Cros
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SAMPLE DESIGNAppendix AA.1 INTRODUC
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Table A.2. Expected number of selec
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Similarly, a total of 2,658 potenti
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Table A.5 Sample implementation: me
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where h represents the stratum whic
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Table B.2 Sampling errors for selec
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Page 287 and 288: Table B.10 Sampling errors for sele
Page 289 and 290: Table B.12 Sampling errors for sele
Page 291 and 292: DATA QUALITY TABLESAppendix CTable
Page 293 and 294: Table C.3 Completeness of reporting
Page 295 and 296: Table C.6 Reporting of age at death
Page 297 and 298: Provincial CoordinatorsMr Martin Nj
Page 299 and 300: Data Processing StaffMr Mathews Muv
Page 301 and 302: 286 | Appendix E
Page 303 and 304: HOUSEHOLD SCHEDULENow we would like
Page 305 and 306: LINENO.USUAL RESIDENTSAND VISITORSR
Page 307 and 308: NO. QUESTIONS AND FILTERS CODING CA
Page 311 and 312: INFORMED CONSENT FOR SYPHILIS AND H
Page 313 and 314: September 28, 20012001 ZAMBIA DEMOG
Page 315 and 316: SECTION 1. RESPONDENT’S BACKGROUN
Page 317 and 318: SECTION 2: REPRODUCTIONNO. QUESTION
Page 319 and 320: 212 213 214 215 216 217IF ALIVE:218
Page 321 and 322: NO QUESTIONS AND FILTERS CODING CAT
Page 325 and 326: NO. QUESTION AND FILTERS CODING CAT
Page 327 and 328: NO. QUESTION AND FILTERS CODING CAT
Page 329 and 330: 407AWhere did the first antenatal v
Page 331 and 332: NAMELAST BIRTHNEXT-TO-LAST-BIRTHNAM
Page 333 and 334: NAMELAST BIRTHNEXT-TO-LAST-BIRTHNAM
Page 335 and 336: SECTION 4B. IMMUNIZATION, HEALTH AN
Page 337: LAST BIRTHNEXT-TO-LAST BIRTHNAMENAM
Page 341 and 342: LAST BIRTHNEXT-TO-LAST BIRTH480 Wha
Page 343 and 344: NO QUESTIONS AND FILTERS CODING CAT
Page 345 and 346: SECTION 5. MARRIAGE AND SEXUAL ACTI
Page 351 and 352: SECTION 6. FERTILITY PREFERENCESNO.
Page 357 and 358: SECTION 7. HUSBAND'S BACKGROUND AND
Page 367 and 368: SECTION 9. MATERNAL MORTALITYNO. QU
Page 369 and 370: 904 What wasname given toyour oldes
Page 371 and 372: NAME OF EDITOR:____________________
Page 373 and 374: SUPERVISOR FIELD EDITOR OFFICE EDIT
Page 379 and 380: 14 Have you heard of any other ways
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NO. QUESTIONS AND FILTERS CODING CA
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SECTION 5. FERTILITY PREFERENCESNO.
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SECTION 7. AIDS AND OTHER SEXUALLY
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