Malawi 2015-16

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Table 3.4.1 Exposure to mass media: Women Example 1: Exposure to Mass Media A Question Asked of All Survey Respondents Percentage of women age 15-49 who are exposed to specific media on a weekly basis, according to background characteristics, Malawi DHS 2015-16 Background characteristic 3 2 Reads a newspaper at least once a week Watches television at least once a week Listens to the radio at least once a week Accesses all three media at least once a week Accesses none of the three media at least once a week Number of women Age 15-19 9.8 11.5 26.4 2.1 64.7 5,263 20-24 8.9 11.5 31.2 2.2 61.1 5,159 25-29 9.5 14.2 33.0 2.4 57.8 3,953 30-34 7.7 11.1 32.7 2.4 61.5 3,668 35-39 7.0 10.6 29.1 2.4 65.0 2,924 40-44 6.1 9.8 28.5 1.8 66.6 2,029 45-49 4.5 9.5 28.0 1.8 68.7 1,567 Residence Urban 17.1 39.2 42.3 7.2 37.6 4,496 Rural 6.3 5.3 27.2 1.1 68.5 20,066 Region Northern 10.0 16.5 33.2 3.5 58.1 2,838 Central 8.5 10.4 31.7 1.8 60.2 10,529 Southern 7.6 11.3 27.6 2.2 66.4 11,194 Education No education 0.3 2.4 17.4 0.0 81.1 2,977 Primary 5.5 5.5 27.1 0.6 68.1 15,245 Secondary 15.3 26.0 42.2 5.5 5 44.7 5,598 More than secondary 43.2 61.9 48.0 19.5 17.3 742 Wealth quintile Lowest 3.4 1.0 12.5 0.1 85.0 4,745 Second 4.2 1.7 22.8 0.1 74.1 4,692 Middle 6.0 2.7 26.9 0.4 69.0 4,635 Fourth 7.1 4.4 34.4 0.7 60.5 4,680 Highest 18.2 40.7 49.0 8.2 32.6 5,810 Total 8.3 11.5 30.0 2.2 62.8 24,562 1 4 xxvi • Reading and Understanding the 2015-16 MDHS
Step 1: Read the title and subtitle. They tell you the topic and the specific population group being described. In this case, the table is about women age 15-49 and their exposure to different types of media. All eligible female respondents age 15-49 were asked these questions. Step 2: Scan the column headings—highlighted in green in Example 1.They describe how the information is categorized. In this table, the first three columns of data show different types of media that women access at least once a week. The fourth column shows women who access all three media, while the fifth column is women who do not access any of the three types of media at least once a week. The last column lists the number of women interviewed in the survey. Step 3: Scan the row headings—the first vertical column highlighted in blue in Example 1. These show the different ways the data are divided into categories based on population characteristics. In this case, the table presents women’s exposure to media by age, urban-rural residence, region, educational level, and wealth quintile. Most of the tables in the MDHS report will be divided into these same categories. Step 4: Look at the row at the bottom of the table highlighted in red. These percentages represent the totals of all women age 15-49 and their access to different types of media. In this case, 8.3%* of women age 15- 49 read a newspaper at least once a week, 11.5% watch television weekly, and 30.0% listen to the radio weekly. Step 5: To find out what percentage of women with more than secondary education access all three media weekly, draw two imaginary lines, as shown on the table. This shows that 19.5% of women age 15-49 with more than secondary education access all three types of media weekly. Step 6: By looking at patterns by background characteristics, we can see how exposure to mass media varies across Malawi. Mass media are often used to communicate health messages. Knowing how mass media exposure varies among different groups can help programme planners and policy makers determine how to most effectively reach their target populations. *For the purpose of this document data are presented exactly as they appear in the table including decimal places. However, the text in the remainder of this report rounds data to the nearest whole percentage point. Practice: Use the table in Example 1 to answer the following questions: a) What percentage of women in Malawi do not access any of the three media at least once a week? b) What age group of women are most likely to watch television weekly? c) Compare women in urban areas to women in rural areas—which group is more likely to read the newspaper weekly? d) What are the lowest and highest percentages (range) of women who do not access any of the three media at least once a week by region? e) Is there a clear pattern in exposure to television on a weekly basis by education level? f) Is there a clear pattern in exposure to radio on a weekly basis by wealth quintile? Answers: a) 62.8% b) Women age 25-29: 14.2% of women in this age group watch television weekly c) Women in urban areas, 17.1% read a newspaper weekly, compared to 6.3% of women in rural areas d) 58.1% of women in the Northern region do not access any of the three media at least once a week, compared to 66.4% of women in the Southern region. e) Exposure to television on a weekly basis increases as a woman’s level of education increases; 2.4% of women with no education watch television weekly, compared to 61.9% of women with more than secondary education. f) Exposure to radio on a weekly basis increases as household wealth increases; 12.5% of women in the lowest wealth quintile listen to the radio on a weekly basis, compared to 49.0% of women in the highest wealth. Reading and Understanding the 2015-16 MDHS • xxvii
Page 1: Malawi Demographic and Health Surve
Page 4 and 5: The 2015-16 Malawi Demographic and
Page 6 and 7: 4.3 Age at First Marriage .........
Page 8 and 9: 13.9.1 Knowledge ..................
Page 11 and 12: TABLES AND FIGURES 1 INTRODUCTION A
Page 13 and 14: 6 FERTILITY PREFERENCES ...........
Page 15 and 16: 11 NUTRITION OF CHILDREN AND WOMEN
Page 17 and 18: Figure 14.1 HIV prevalence by age .
Page 19 and 20: Table A-3.8.1 Type of earnings: Wom
Page 21 and 22: Table A-16.9.1 Women’s participat
Page 23: FOREWORD T he 2016-16 Malawi Demogr
Page 26 and 27: LA LAM LLIN LPG MAD MDHS MICS PPHC
Page 30 and 31: Example 2: Prevalence and Treatment
Page 32 and 33: Example 3: Understanding Sampling W
Page 34 and 35: xxxii • Map of Malawi
Page 36 and 37: The information collected in the 20
Page 38 and 39: ecorded on the Biomarker Questionna
Page 40 and 41: 1.5 PRETEST The pretest for the 201
Page 43 and 44: HOUSING CHARACTERISTICS AND 2 HOUSE
Page 45 and 46: About half of Malawian households (
Page 47 and 48: A total of 117,177 individuals stay
Page 49 and 50: Patterns by background characterist
Page 51 and 52: school. The attendance rate decline
Page 53 and 54: Table 2.3 Household sanitation faci
Page 55 and 56: Table 2.5 Wealth quintiles Percent
Page 57 and 58: Table 2.9 Household composition Per
Page 59 and 60: Table 2.11 Children’s living arra
Page 61 and 62: Table 2.12.2 Educational attainment
Page 63 and 64: Table 2.14.1 Child functioning and
Page 65 and 66: CHARACTERISTICS OF RESPONDENTS 3 Ke
Page 67 and 68: • Women and men living in urban a
Page 69 and 70: Women and men are most commonly emp
Page 71 and 72: Table 3.1 Background characteristic
Page 73 and 74: Table 3.3.1 Literacy: Women Percent
Page 75 and 76: Table 3.5.1 Internet usage: Women P
Page 77 and 78: Table 3.6.1 Employment status: Wome
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Table 3.7.1 Occupation: Women Perce
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Table 3.8 Type of employment: Women
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Table 3.10.1 Tobacco smoking: Women
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Table 3.11 Average number of cigare
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Table 3.13.2 Knowledge and attitude
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Figure 4.1 Marital status Percent d
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marriage. The median age at first i
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Table 4.1 Current marital status Pe
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Table 4.3 Age at first marriage Per
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Table 4.5 Age at first sexual inter
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Table 4.7.1 Recent sexual activity:
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FERTILITY 5 Key Findings Total
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5.3 BIRTH INTERVALS Median birth in
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5.5 AGE AT FIRST BIRTH Median age a
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LIST OF TABLES For more information
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Table 5.3.1 Trends in age-specific
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Table 5.6 Postpartum amenorrhea, ab
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Table 5.10 Median age at first birt
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Trends: The percentage of currently
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Trends: Since 1992, the proportion
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Table 6.1 Fertility preferences by
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Table 6.3 Ideal number of children
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Table 6.5 Fertility planning status
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Overall, the contraceptive prevalen
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Nearly 8 in 10 (79%) of all modern
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Seventy-eight percent of currently
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the survey (Table 7.16). Ten percen
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Table 7.3 Current use of contracept
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Table 7.7 Informed choice Among cur
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Table 7.12.1 Need and demand for fa
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Table 7.13 Decision-making about fa
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Table 7.16 Contact of nonusers with
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• Any method of measuring childho
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Patterns by background characterist
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Table 8.3 Early childhood mortality
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Table 8.5 High-risk fertility behav
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9.1 ANTENATAL CARE COVERAGE AND CON
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Trends: Since 1992, the rates of C-
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9.7 PROBLEMS IN ACCESSING HEALTH CA
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Table 9.3 Components of antenatal c
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Table 9.5 Place of delivery Percent
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Table 9.7 Caesarean section Percent
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Table 9.10 Type of provider of firs
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Table 9.12 Type of provider of firs
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Table 9.14 Pregnancy outcomes Perce
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Table 9.16 Problems in accessing he
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childhood death. In the 2015-16 MDH
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• Vaccination coverage generally
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of giving the same or more food to
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Table 10.1 Child’s size and weigh
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Table 10.3 Vaccinations by backgrou
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Table 10.5 Prevalence and treatment
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Table 10.7 Prevalence and treatment
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Table 10.9 Oral rehydration therapy
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Table 10.11 Disposal of children’
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which the baby’s weight to be dis
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11.2 INFANT AND YOUNG CHILD FEEDING
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have shown that plant-based complem
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11.3 ANAEMIA PREVALENCE IN CHILDREN
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Information on BMI is presented in
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Table 11.1 Nutritional status of ch
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Table 11.3 Breastfeeding status acc
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Table 11.5 Foods and liquids consum
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Table 11.7 Prevalence of anaemia in
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Table 11.9 Micronutrient intake amo
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Table 11.11 Nutritional status of w
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Table 11.13 Micronutrient intake am
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The ownership and use of both treat
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12.3 HOUSEHOLD ACCESS AND USE OF IT
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SP during routine ANC visits. Follo
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Trends: The percentage of children
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Table 12.3 Indoor residual spraying
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Table 12.7 Use of existing ITNs Per
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Table 12.11 Prevalence, diagnosis,
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Table 12.13 Type of antimalarial dr
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HIV/AIDS-RELATED KNOWLEDGE, 13 ATTI
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avoid getting HIV; 64% of women and
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Only 1% of all women reported havin
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Forty-two percent of women and 41%
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13.9.3 Premarital Sex The 2015-16 M
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Table 13.1 Knowledge of HIV prevent
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Table 13.4 Discriminatory attitudes
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Table 13.5.2 Multiple sexual partne
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Table 13.7.1 Coverage of prior HIV
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Table 13.8 Pregnant women counselle
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Table 13.10 Self-reported prevalenc
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Table 13.13 Premarital sexual inter
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Table 13.14.2 Multiple sexual partn
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HIV PREVALENCE 14 Key Findings HIV
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The HIV prevalence among women and
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Table 14.1 Coverage of HIV testing
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Table 14.3 HIV prevalence according
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Table 14.5 HIV prevalence according
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Table 14.7 HIV prevalence among you
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Table 14.11 HIV prevalence by male
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ADULT AND MATERNAL MORTALITY 15 Key
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Trends: Table 15.3 shows the probab
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Table 15.1 Completeness of informat
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WOMEN’S EMPOWERMENT 16 Key Findin
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husbands while smaller proportions
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5% participate in neither decisions
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from 78% to 74%. The percentage of
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16.16 REPRODUCTIVE HEALTH CARE BY W
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Table 16.2.1 Control over women’s
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Table 16.4.1 Ownership of assets: W
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Table 16.5.2 Ownership of title or
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Table 16.7.1 Ownership and use of b
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Table 16.9.2 Men’s participation
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Table 16.10.2 Attitude toward wife
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Table 16.12 Ability to negotiate se
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Table 16.16 Reproductive health car
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harassment.” Most recently, the M
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• The experience of physical viol
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• Women’s experience of at leas
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women to have ever experienced spou
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• Women in urban areas are about
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Table 17.1 Experience of physical v
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Table 17.3 Persons committing physi
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Table 17.5 Age at first experience
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Table 17.9 Forms of spousal violenc
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Table 17.11 Spousal violence accord
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Table 17.13 Experience of spousal v
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Table 17.16 Violence by women again
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Table 17.18 Sources for help to sto
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World Health Organization (WHO) and
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Table A-2.3 Household sanitation fa
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Table A-2.7 Hand washing: Districts
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Table A-2.11 Children’s living ar
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Table A-2.12.2 Educational attainme
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Table A-3.2.1 Educational attainmen
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Table A-3.3.1 Literacy: Women by di
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Table A-3.4.1 Exposure to mass medi
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Table A-3.5.1 Internet usage: Women
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Table A-3.6.1 Employment status: Wo
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Table A-3.7.1 Occupation: Women by
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Table A-3.8.1 Type of earnings: Wom
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Table A-3.8.3 Continuity of employm
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Table A-3.13.1 Knowledge and attitu
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CHAPTER 4 MARRIAGE AND SEXUAL ACTIV
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Table A-4.4 Median age at first mar
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Table A-4.7.1 Recent sexual activit
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CHAPTER 5 FERTILITY Table A-5.2 Fer
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Table A-5.10 Median age at first bi
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CHAPTER 6 FERTILITY PREFERENCES Tab
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CHAPTER 7 FAMILY PLANNING Table A-7
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Table A-7.13 Decision-making about
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Table A-7.16 Contact of nonusers wi
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CHAPTER 9 MATERNAL HEALTH CARE Tabl
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Table A-9.4 Tetanus toxoid injectio
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Table A-9.6 Assistance during deliv
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Table A-9.9 Timing of first postnat
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Table A-9.11 Timing of first postna
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Table A-9.13 Content of postnatal c
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Table A-9.15 Prevalence of obstetri
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CHAPTER 10 CHILD HEALTH Table A-10.
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Table A-10.4 Possession and observa
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Table A-10.6 Prevalence and treatme
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Table A-10.8 Feeding practices duri
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Table A-10.10 Knowledge of ORS pack
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CHAPTER 11 NUTRITION OF CHILDREN AN
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Table A-11.2 Initial breastfeeding:
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Table A-11.7 Prevalence of anaemia
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Table A-11.9 Micronutrient intake a
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Table A-11.11 Nutritional status of
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Table A-11.13 Micronutrient intake
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Table A-12.2 Source of mosquito net
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Table A-12.6 Use of mosquito nets b
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Table A-12.8 Use of mosquito nets b
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Table A-12.10 Use of Intermittent P
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Table A-12.14 Haemoglobin
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Table A-13.4 Discriminatory attitud
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Table A-13.5.2 Multiple sexual part
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Table A-13.7.1 Coverage of prior HI
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Table A-13.8 Pregnant women counsel
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Table A-13.10 Self-reported prevale
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Table A-13.12 Age at first sexual i
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Table A-13.14.1 Multiple sexual par
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CHAPTER 14 HIV PREVALENCE Table A-1
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Table A-14.3 HIV prevalence: Distri
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CHAPTER 16 WOMEN’S EMPOWERMENT Ta
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Table A-16.4.1 Ownership of assets:
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Table A-16.5.1 Ownership of title o
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Table A-16.6.1 Ownership of title o
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Table A-16.7.1 Ownership and use of
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Table A-16.9.1 Women’s participat
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Table A-16.10.1 Attitude toward wif
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Table A-16.11 Attitudes toward nego
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CHAPTER 17 DOMESTIC VIOLENCE Table
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Table A-17.4 Experience of sexual v
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Table A-17.10 Spousal violence: Dis
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Table A-17.15 Violence by women aga
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SAMPLE DESIGN Appendix B B.1 INTROD
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two-stage stratified cluster sample
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Table B.1 Distribution of residenti
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Table B.4 Sample allocation of comp
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Table B.6 Sample implementation: Me
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Table B.8 Coverage of HIV testing b
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Table B.10 Coverage of HIV testing
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where h represents the stratum whic
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Table C.2 Sampling errors: Total sa
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Table C.4 Sampling errors: Rural sa
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Table C.6 Sampling errors: Central
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Table C.8 Sampling errors: Chitipa
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Table C.10 Sampling errors: Nkhatab
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Table C.12 Sampling errors: Mzimba
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Table C.14 Sampling errors: Kasungu
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Table C.16 Sampling errors: Ntchisi
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Table C.18 Sampling errors: Salima
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Table C.20 Sampling errors: Mchinji
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Table C.22 Sampling errors: Ntcheu
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Table C.24 Sampling errors: Maching
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Table C.26 Sampling errors: Chiradz
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Table C.28 Sampling errors: Mwanza
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Table C.30 Sampling errors: Mulanje
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Table C.32 Sampling errors: Chikwaw
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Table C.34 Sampling errors: Balaka
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Table C.36 Sampling errors for adul
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Table D.2.1 Age distribution of eli
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Table D.5 Reporting of age at death
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Table D.7 Nutritional status of chi
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SURVEY PERSONNEL Appendix E 2015-16
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Team Leaders Benson Mvula Grossveno
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Ireen Yohane Chisomo Mkwapatira Des
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2015-2016 MALAWI DEMOGRAPHIC AND HE
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INTRODUCTION AND CONSENT Hello. My
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HOUSEHOLD SCHEDULE IF AGE 0-17 YEAR
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HOUSEHOLD SCHEDULE IF AGE 0-17 YEAR
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HOUSEHOLD CHARACTERISTICS NO. QUEST
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HOUSEHOLD CHARACTERISTICS NO. QUEST
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MOSQUITO NETS NET #1 NET #2 NET #3
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ADDITIONAL HOUSEHOLD CHARACTERISTIC
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200 CHILD FUNCTIONING AND DISABILIT
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300 CHILD FUNCTIONING AND DISABILIT
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CHILD FUNCTIONING AND DISABILITY (A
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ELIGIBILITY AND CONSENT FOR THE MIC
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INTERVIEWER'S OBSERVATIONS TO BE FI
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WEIGHT, HEIGHT AND HEMOGLOBIN MEASU
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WEIGHT, HEIGHT AND HEMOGLOBIN MEASU
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WEIGHT, HEIGHT, HEMOGLOBIN MEASUREM
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HIV TESTING FOR MEN AGE 15-54 301 C
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SECTION 1. RESPONDENT'S BACKGROUND
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SECTION 2. REPRODUCTION NO. QUESTIO
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212 213 214 215 216 217 218 219 220
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SECTION 3. CONTRACEPTION 301 Now I
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SECTION 3. CONTRACEPTION NO. QUESTI
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SECTION 4. PREGNANCY AND POSTNATAL
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SECTION 5A. CHILD IMMUNIZATION (LAS
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SECTION 5A. CHILD IMMUNIZATION (LAS
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SECTION 5B. CHILD IMMUNIZATION (NEX
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SECTION 5B. CHILD IMMUNIZATION (NEX
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SECTION 6. CHILD HEALTH AND NUTRITI
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SECTION 7. MARRIAGE AND SEXUAL ACTI
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SECTION 8. FERTILITY PREFERENCES NO
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SECTION 9. HUSBAND'S BACKGROUND AND
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NO. QUESTIONS AND FILTERS SECTION 1
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SECTION 10. HIV/AIDS NO. QUESTIONS
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SECTION 10. HIV/AIDS NO. QUESTIONS
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SECTION 11. OTHER HEALTH ISSUES NO.
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SECTION MM. MATERNAL MORTALITY MODU
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SECTION 13. DOMESTIC VIOLENCE MODUL
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INSTRUCTIONS: COL. 1 COL. 2 ONLY ON
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SECTION 1. RESPONDENT'S BACKGROUND
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SECTION 3. CONTRACEPTION 301 Now I
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SECTION 6. EMPLOYMENT AND GENDER RO
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SECTION 7. HIV/AIDS NO. QUESTIONS A
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SECTION 7. HIV/AIDS NO. QUESTIONS A
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INTERVIEWER'S OBSERVATIONS TO BE FI
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MALAWI GOVERNEMNT NATIONAL STATISTI
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Malawi 2015-16

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