ZMB_2001_DHS_v01_M
Demographic and Health Survey 2001-2002
Name | Country code |
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Zambia | ZMB |
Demographic and Health Survey (standard) - DHS IV
The 2001 Zambia Demographic and Health Survey (ZDHS) is the third DHS survey carried out in Zambia. The first one was conducted in 1991, and the second one in 1996.
Sample survey data
The 2001 Zambia Demographic and Health Survey covers the following topics:
The DHS 2001-02 is a nationally representative survey. The primary focus of the 2001 Zambia DHS is to provide estimates of key population and health indicators, including fertility and mortality rates, for the country as a whole, and for urban and rural areas separately. Also, the sample was designed to provide estimates of key variables for the nine provinces, namely, 1) Central, 2) Copperbelt, 3) Eastern, 4) Luapula, 5) Lusaka, 6) Northern, 7) North-Western, 8) Southern, and 9) Western. In addition, the sample provides basic information for a total of 12 combined districts (not each separately) that are the special focus of the Zambia Integrated Health Programme (Livingstone, Kalomo, Chibombo, Kabwe Urban, Ndola Urban, Kitwe, Chipata, Lundazi, Chama, Kasama, Samfya, and Mwense).
The population covered by the 2001-2002 ZDHS is defined as the universe of all women age 1549 in Zambia and all men age 15-59. A sample of households was selected and all women age 15-49 identified in the households were interviewed. In addition, in a subsample of one-third of all the households selected for the ZDHS, all men 15-59 were eligible to be interviewed if they were either permanent residents or visitors present in the household on the night before the survey.
Name |
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Central Statistical Office |
Central Board of Health (CBoH) |
Name | Role |
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ORC Macro of Calverton | Technical assistance |
Technical assistance |
Name |
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Agency for International Development |
Government of Japan |
United Nations Development Programme |
Government of the Republic of Zambia |
United Nations Population Fund |
Danish International Development Agency |
The 2001-2002 Zambia Demographic and Health Survey (ZDHS) is a comprehensive nationally representative population and health survey carried out by the Central Statistical Office in partnership with the Central Board of Health. ORC Macro provided financial and technical assistance for the survey through the USAID-funded MEASURE DHS+ programme. Additional funding for the ZDHS was received from the Government of Japan, UNFPA, and DANIDA. The principal objective of the ZDHS is to provide current and reliable data on fertility and family planning behaviour, child mortality, children's nutritional status, the utilization of maternal, child health services, knowledge and prevalence of HIV and syphilis.
SAMPLE DOMAINS
The Zambia DHS collected demographic and health information from a nationally representative sample of women and men age 15-49 and 15-59, respectively. The primary focus of the 2001 Zambia DHS is to provide estimates of key population and health indicators, including fertility and mortality rates, for the country as a whole, and for urban and rural areas separately. Also, the sample was designed to provide estimates of key variables for the nine provinces, namely, 1) Central, 2) Copperbelt, 3) Eastern, 4) Luapula, 5) Lusaka, 6) Northern, 7) North-Western, 8) Southern, and 9) Western. In addition, the sample provides basic information for a total of 12 combined districts (not each separately) that are the special focus of the Zambia Integrated Health Programme (Livingstone, Kalomo, Chibombo, Kabwe Urban, Ndola Urban, Kitwe, Chipata, Lundazi, Chama, Kasama, Samfya, and Mwense).
SAMPLE FRAME
Zambia is divided into nine provinces. In turn, each province is subdivided in districts, each district into constituencies, and each constituency into wards. In addition to these administrative units, during the 2000 population census, each ward was subdivided into convenient areas called census supervisory areas (CSAs), and in turn each CSA into standard enumeration areas (SEAs). In total Zambia has 72 districts, 150 constituencies, 1,289 wards, about 4,400 CSAs, and about 16,400 SEAs. Preliminary information on the counts of households and population, as well as cartographic materials were available from the 2000 population census for the SEAs. Therefore, the sample frame for this survey was the list of SEAs developed from the 2000 population census.
STRATIFICATION
In the preliminary census frame, the SEAs were grouped by CSAs, by CSAs within a ward, by wards within a constituency, by constituencies within a district and by districts within a province for purposes of the ZDHS. The SEAs were further stratified separately by urban and rural areas within each province.
SAMPLE ALLOCATION
The primary sampling unit (PSU), the cluster for the 2001-2002 ZDHS, is defined on the basis of SEAs from the census frame. A minimum requirement of 85 households for the cluster size was imposed in the design. If an SEA did not have 85 households, it was combined with an adjacent SEA; thus, the ZDHS cluster comprised one or more SEAs. The number of clusters in each district was not allocated proportional to the total population due to the need to present estimates by each of the nine provinces. Zambia is a country where two-thirds of the population reside in rural areas, and one-third in urban areas.
The target for the 2001-2002 ZDHS sample was 8,000 completed interviews. Based on the level of non-response found in the 1996 ZDHS, to achieve this target, approximately 8,200 households were selected, with all women age 15-49 being interviewed. The target was to reach a minimum of 750 completed interviews per province. In each province the number of households was distributed proportionately among the urban and rural areas. Table A.2 shows the distribution of about 8,200 households by province.
The urban-rural distribution was also considered in distributing the sample. The selected households were distributed in 320 clusters in Zambia, 100 clusters in the urban areas, and 220 clusters in the rural areas.
Under this final allocation, the 12 combined districts of the Zambia Integrated Health Programme have 77 selected clusters, 36 in urban areas and 41 in rural areas.
SAMPLE SELECTION
The 2001-2002 ZDHS sample was selected using a stratified two-stage cluster design consisting of 320 clusters, 100 in urban and 220 in rural areas. Once the number of households was allocated to each combination of province by urban and rural areas, the number of clusters was calculated based on an average sample take of 25 completed interviews among women 15-49 years. In each urban or rural area in a given province, clusters were selected systematically with probability proportional to the number of households in each cluster.
Response rates are a source of concern because high non-response may affect the reliability of the results. A total of 8,050 households were selected in the sample, of which 7,260 were found at the time of the fieldwork. The shortfall is largely due to some structures being vacant. Of the 7,260 existing households, 7,126 were successfully interviewed, yielding a household response rate of 98 percent.
In the households interviewed in the survey, a total of 7,944 eligible women were identified; interviews were completed with 7,658 of these women, yielding a response rate of 96 percent. With regard to the male survey results, 2,418 eligible men were identified in the subsample of households selected for the male survey, of which 2,145 were successfully interviewed, yielding a response rate of 89 percent. The response rates are lower for the urban than for rural sample, especially for men.
There is no difference by urban-rural residence in the overall response rate for eligible women; however rural men are more likely than urban men to have completed the interview (89.4 percent and 83.0 percent, respectively). The overall response rate among women by province is relatively high and ranges from 90.1 percent for Western province to 97.3 for Luapula province. The overall response rate for men ranges from 78.1 for Western province to 96.9 for Luapula province.
Compared with the 1996 ZDHS, there has been a slight decline in response rates. In the 1996 survey, the response rates were 99 percent for households, 97 percent for women, and 91 percent for men (CSO, MOH,and Macro International, 1997).
The principal reason for non-response among both eligible men and women was the failure to find individuals at home despite repeated visits to the household. The substantially lower response rate for men reflects the more frequent and longer absences of men from the household, principally related to their employment and life style.
Three questionnaires were used for the 2001-2002 ZDHS:
a) the Household Questionnaire,
b) the Women's Questionnaire
c) the Men's Questionnaire.
The contents of these questionnaires were based on the model questionnaires developed by the MEASURE DHS+ programme for use in countries with low levels of contraceptive use.
In consultation with technical institutions, local and international organisations, the CSO modified the DHS model questionnaires to reflect relevant issues in population, family planning and other health issues in Zambia. A series of questionnaire design meetings were organised by the CSO with the assistance of ORC Macro, and the inputs generated in these meetings were used to produce the first draft of the ZDHS questionnaires. These questionnaires were translated from English into the seven major languages, namely Bemba, Kaonde, Lozi, Lunda, Luvale, Nyanja, and Tonga.
a) The Household Questionnaire was used to list all the usual members and visitors in the selected households. Some basic information was collected on the characteristics of each person listed, including his or her age, sex, education, and relationship to the head of the household. The main purpose of the Household Questionnaire was to identify women and men who were eligible for the individual interview. The Household Questionnaire collected information on characteristics of the household's dwelling unit, such as the source of water, type of toilet facilities, materials used for the floor of the house, ownership of various durable goods, and ownership and use of mosquito nets. The Household Questionnaire was also used to record height and weight measurements of women 15-49 and children under the age of 6, and, where syphilis and HIV testing was conducted, to record the respondents' consent to the testing. In order to maintain confidentiality, separate forms were used for recording the results of the syphilis and HIV testing.
b) The Women's Questionnaire was used to collect information from all women age 15-49. These women were asked questions on the following topics:
The Women's Questionnaire included a series of questions to obtain information on women's experience of domestic violence. These questions were administered to one woman per household. In households with two or more eligible women, special procedures were followed in order to ensure the random selection of this woman.
c) The Men's Questionnaire was administered to all men age 15-59 living in every third household in the ZDHS sample. The Men's Questionnaire collected much of the same information found in the Women's Questionnaire, but was shorter because it did not contain a reproductive history or questions on maternal and child health, nutrition, or maternal mortality.
Start | End |
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2001-11 | 2002-05 |
Name |
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Central Statistical Office |
Each team consisted of one team supervisor, one field editor, three to four female interviewers, one male interviewer, one nurse/nurse counselor, one lab technician, and one driver. Six staff assigned from the CSO coordinated and supervised fieldwork activities. They were assisted by staff from the TDRC and the University of Zambia Demography Division. ORC Macro participated in field supervision for interviews, height and weight measurements, and blood collection and testing.
The ZDHS involved a number of activities to address various methodological and ethical concerns raised by the inclusion of HIV and syphilis testing as well as to pilot the ZDHS questionnaires. A total of three formal pretests were conducted during this phase of the survey. The training and fieldwork for the first pretest took place May 14-25, 2001. In addition to pretesting the survey questionnaires, the pretest included syphilis and HIV testing using a simple finger prick procedure from which blood spots were collected on filter paper. Four medical laboratory technicians, nine female interviewers, seven male interviewers, and six nurse counselors, were trained, forming seven teams, one for each local language. The pretest fieldwork was conducted in four areas, three urban and one rural. In total, 65 household questionnaires, 79 women's questionnaires and 106 men's questionnaires were completed in the course of three days. A total of 81 persons were identified as eligible for the blood collection. Of these, 52 persons voluntarily agreed to give a sample of blood.
After the first pretest was completed, it was decided that venous rather than capillary blood samples should be collected to be consistent with existing syphilis testing protocols in Zambia. To pilot all of the testing procedures, a second pretest was carried out July 18-24, 2001. Four medical laboratory technicians, five female interviewers and five male interviewers took part in the second pretest. The staff was selected from those individuals who had participated in the first pretest. In the second pretest, 130 questionnaires (38 household, 57 women's and 35 men's questionnaires) were administered. Sixty-nine persons were selected for the venous blood collection. Out of these, 67 (32 males and 35 females) agreed to have their blood tested. In the second pretest, RPR was used as the screening test for syphilis and Abbot Determine test strip as the confirmatory test. The pretest included follow-up treatment or referral for those who tested positive for syphilis. The laboratory technicians also tested the procedures for obtaining dried blood spots from the venous blood samples for later HIV testing.
Using the same staff who took part in the second pretest, a third pretest of the HIV/syphilis protocol was conducted July 26 though August 1, 2001. This pretest focused mainly on gaining additional experience with the informed consent statement in a variety of settings. Five areas were covered, three high-density areas (low income earners areas) and two low-density areas (high income earners areas). In the third pretest, 98 households and 286 individuals were covered. More than 85 percent of respondents agreed to HIV and syphilis testing.
In addition to the three pretests, an additional field exercise was conducted as part of the ZDHS to validate the use of dried blood spots for the HIV testing. In this study, matched DBS and plasma samples were collected and tested. The results of the testing of the matched DBS and plasma samples were similar, leading to the decision to collect DBS samples.
A total of 88 interviewers and 36 nurse/nurse counselors and laboratory technicians participated in the main survey training that took place August 20 through September 16, 2001. All participants were trained in interviewing techniques and the contents of the ZDHS questionnaires. The training was conducted following the standard DHS training procedures, including class presentations, mock interviews, and tests using the Women's Questionnaire. Special training was given to interviewers on the collection of the domestic violence data, especially on issues relating to informed consent and privacy. Male participants were additionally trained on the content of the men's questionnaire. The nurse/nurse counselors were trained to use the scales and height boards to collect anthropometric measurements of women and young children. All of the interviewers were trained in taking height and weight measurements so that they could assist the nurse/nurse counselors in performing these tasks.
During the last week of the training, the nurse/nurse counselors and laboratory technicians, who already had experience in blood collection and testing, were separated and trained on the specific procedures for drawing blood samples in the field and on syphilis testing using RPR. Additionally, they received training specifically focused on the internationally accepted procedures to minimise risk (“universal precautions”) and confidentiality. Finally, in addition to the classroom instruction, the ZDHS training included practice interviews using the questionnaire in English and the participants' local languages.
Data collection for the 2001-2002 ZDHS took place over a seven-month period from November 2001 to May 2002. Twelve interviewing teams carried out data collection. Each team consisted of one team supervisor, one field editor, three to four female interviewers, one male interviewer, one nurse/nurse counselor, one lab technician, and one driver. Six staff assigned from the CSO coordinated and supervised fieldwork activities. They were assisted by staff from the TDRC and the University of Zambia Demography Division. ORC Macro participated in field supervision for interviews, height and weight measurements, and blood collection and testing.
SYPHILISSYPHILIS AND HIV TESTING
In households selected for the male survey, the ZDHS involved the collection of blood specimens from all eligible women and men who voluntarily consented to the syphilis and HIV testing. The initial protocol for the blood specimen collection and testing as well as modifications made in the protocol during the course of the study were reviewed and approved by both the Institutional Review Board of ORC Macro and the Ethical Review Committee of the University of Zambia which approves research studies on human subjects conducted in Zambia.
A total of 3,961 samples were collected in the ZDHS, of which 710 tested positive using the GACELISA. When these positive samples were retested using BIONOR, 570 tested positive and 140 tested negative. Western Blot was then performed for the 140 samples for which the results were discordant, i.e., the GACELISA result was positive and the BIONOR result was negative. Only one of the samples was confirmed as positive and 139 were confirmed as negative with Western Blot.
The processing of the ZDHS results began shortly after the fieldwork commenced. Completed questionnaires were returned periodically from the field to CSO offices in Lusaka, where they were entered and edited by data processing personnel who were specially trained for this task. The concurrent processing of the data was an advantage because CSO was able to advise field teams of problems detected during the data entry. TDRC provided the results of the syphilis and HIV testing to CSO for entry and editing. The data entry and editing phase of the survey was completed in August 2002.
Sampling errors can be evaluated statistically. The sample of respondents selected in the 2001-2002 ZDHS is only one of many samples that could have been selected from the same population, using the same design and expected size. Each of these samples would yield results that differ somewhat from the results of the actual sample selected. Sampling errors are a measure of the variability between all possible samples. Although the degree of variability is not known exactly, it can be estimated from the survey results.
A sampling error is usually measured in terms of the standard error for a particular statistic (mean, percentage, etc.), which is the square root of the variance. The standard error can be used to calculate confidence intervals within which the true value for the population can reasonably be assumed to fall. For example, for any given statistic calculated from a sample survey, the value of that statistic will fall within a range of plus or minus two times the standard error of that statistic in 95 percent of all possible samples of identical size and design.
If the sample of respondents had been selected as a simple random sample, it would have been possible to use straightforward formulas for calculating sampling errors. However, the 2001-2002 ZDHS sample is the result of a multistage stratified design, and consequently, it was necessary to use more complex formulas. The computer software used to calculate sampling errors for the 2001-2002 ZDHS is the ISSA Sampling Error Module (ISSAS). This module used the Taylor linearization method of variance estimation for survey estimates that are means or proportions. The Jackknife repeated replication method is used for variance estimation of more complex statistics such as fertility and mortality rates.
In addition to the standard error, ISSAS computes the design effect (DEFT) for each estimate, which is defined as the ratio between the standard error using the given sample design and the standard error that would result if a simple random sample had been used. A DEFT value of 1.0 indicates that the sample design is as efficient as a simple random sample, while a value greater than 1.0 indicates the increase in the sampling error due to the use of a more complex and less statistically efficient design. ISSAS also computes the relative error and confidence limits for the estimates.
Sampling errors for the 2001-2002 ZDHS women and men are calculated for selected variables considered to be of primary interest including HIV and syphilis prevalence. The results are presented in an appendix to the Final Report for the country as a whole, for urban and rural areas, and for each of the 9 subdomains (provinces) in the country. For each variable, the type of statistic (mean, proportion, or rate) and the base population are given in Table B.1 of the Final Report. Tables B.2 to B.13 present the value of the statistic (R), its standard error (SE), the number of unweighted (N) and weighted (WN) cases, the design effect (DEFT), the relative standard error (SE/R), and the 95 percent confidence limits (R±2SE) for each variable. The DEFT is considered undefined when the standard error considering simple random sample is zero (when the estimate is close to 0 or 1).
In general, the relative standard error for most estimates for the country as a whole is small, except for estimates of very small proportions. There are some differentials in the relative standard error for the estimates of subpopulations. For example, for the variable “currently using any contraceptive method” for currently married women age 15-49, the relative standard errors as a percentage of the estimated mean for the whole country, for urban areas, and for rural areas are 2.5 percent, 3.6 percent, and 3.2 percent, respectively.
The confidence interval (e.g., as calculated for “currently using any contraceptive method” for currently married women age 15-49) can be interpreted as follows: the overall national sample proportion is 0.342 and its standard error is 0.009. Therefore, to obtain the 95 percent confidence limits, one adds and subtracts twice the standard error to the sample estimate, i.e. 0.342±2(0.009). There is a high probability (95 percent) that the true average proportion of contraceptive use for currently married women age 15-49 is between 0.325 and 0.359.
Nonsampling errors are the result of mistakes made in implementing data collection and data processing, such as failure to locate and interview the correct household, misunderstanding of the questions on the part of either the interviewer or the respondent, and data entry errors. Although numerous efforts were made during the implementation of the 2001-2002 ZDHS to minimise this type of error, nonsampling errors are impossible to avoid and difficult to evaluate statistically.
Name | Affiliation | URL | |
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MEASURE DHS | ICF International | www.measuredhs.com | archive@measuredhs.com |
Use of the dataset must be acknowledged using a citation which would include:
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Name | URL | |
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General Inquiries | info@measuredhs.com | www.measuredhs.com |
Data and Data Related Resources | archive@measuredhs.com | www.measuredhs.com |
Central Statistical Office (CSO) | http://www.zamstats.gov.zm/ |
DDI_ZMB_2001_DHS_v01_M
Name | Role |
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World Bank, Development Economics Data Group | Generation of DDI documentation |
2012-03-06
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