KGZ_1997_DHS_v01_M
Demographic and Health Survey 1997
Name | Country code |
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Kyrgyz Republic | KGZ |
Demographic and Health Survey (standard) - DHS III
The Kyrgyz Republic Demographic and Health Survey 1997 is the first survey of its kind to be conducted in Kyrgyz Republic .
Sample survey data
The Kyrgyz Republic Demographic and Health Survey 1997 covers the following topics:
National
The population covered by the 2007 UDHS is defined as the universe of all women age 15-49 who were permanent residents of the households.
Name | Affiliation |
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Research Institute of Obstetrics and Pediatrics | Ministry of Health of the Kyrgyz Republic |
Name | Role |
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Macro International Inc. | Technical assistance |
Name | Role |
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United States Agency for International Development | Funding |
The KRDHS employed a representative probability sample of women age 15 to 49. Selected survey estimates were to be produced for four survey regions. The capital city of Bishkek and Narynskaya oblast, which is located in the mountainous eastern part of the Republic, constituted two survey regions by themselves (survey regions 1 and 3, respectively). The remaining two survey regions consisted of groups of contiguous oblasts located in the north (Survey Region 2) and south (Survey Region 4) of the Kyrgyz Republic (Figure 1.1). The four survey regions were defined as follows:
Survey Region 1: Bishkek City
Survey Region 2 (North): Issyk-Kulskaya, Chuiskaya and Talasskaya oblasts.
Survey Region 3 (East): Narynskaya oblast.
Survey Region 4 (South): Oshskaya and Dzhelal-Abadskaya oblasts.
In rural areas, the primary sampling units (PSUs) were the raions, which were selected with probabilities proportional to size, the size being the population size as published by Goskomstat. At the second stage, one village was selected in each selected raion, from the list of villages collected by the Institute of Obstetrics and Pediatrics. This resulted in 76 rural clusters being selected. Very large villages (with 400 households or more) that were selected were divided in the field into smaller segments, and one segment was selected prior to the household listing operation. A complete listing of the households in the selected clusters was carried out. The lists of households served as the frame for third-stage sampling, i.e., the selection of the households to be visited by the KRDHS interviewing teams. In each selected household, all women age 15-49 were eligible to be interviewed.
In the urban areas, the sampling frame is the list of therapeutical uchastoks that have been collected by the Institute of Obstetrics and Pediatrics. However the list of uchastoks only exists for main cities and not for small towns. For small towns, each town was divided into segments of equal size (around 2,000 population), and these segments have been treated as if they were uchastoks. The selected uchastoks were segmented prior to the household listing operation, which provided the household lists for the third-stage selection of households. In total, 86 uchastoks were selected. On average, 20 households were selected in each urban cluster, and 30 households were selected in each rural cluster. It was expected that the sample would yield interviews with approximately 4,000 women between the ages of 15 and 49.
A total of 3,821 households were selected in the sample, of which 3,695 were occupied at the time fieldwork was conducted. The main reason for the difference was that some dwelling units which were occupied at the time of the household listing operation were either vacant or the household was away for an extended period at the time of interviewing. Of the 3,695 occupied households, 3,672 were interviewed, yielding a household response rate of 99 percent.
In the interviewed households, 3,954 women were eligible for the individual interview (i.e., all women 15-49 years of age who were either usual residents or visitors who had spent the previous night in the household). Interviews were successfully completed with 3,848 of these women, yielding a response rate of 97 percent. The principal reason for nonresponse was a failure to find an eligible woman at home after repeated visits to the household. The overall response rate for the survey, the product of the household and the individual response rates, was 97 percent.
Two questionnaires were used for the KRDHS: the Household Questionnaire and the Individual Questionnaire. The questionnaires were based on the model survey instruments developed in the DHS program. The questionnaires were adapted to the data needs of the Kyrgyz Republic during consultations with specialists in the areas of reproductive health and child health in the Kyrgyz Republic. Both questionnaires were developed in English and then translated into Russian and Kyrgyz. A pretest was conducted in June 1997. Based on the pretest experience, the questionnaires were further modified.
a) The Household Questionnaire was used to enumerate all usual members and visitors in a sample household and to collect information relating to the socioeconomic position of the household. In the first part of the Household Questionnaire, information was collected on age, sex, educational attainment, and relationship to the head of household of each person listed as a household member or visitor. A primary objective of the first part of the Household Questionnaire was to identify women who were eligible for the individual interview. In the second part of the Household Questionnaire, questions were included on the dwelling unit, such as the number of rooms, the flooring material, the source of drinking water, and the type of toilet facilities, and on the availability of a variety of consumer goods.
b) The Individual Questionnaire was used to collect information from women age 15-49. These women were asked questions on the following major topics:
One of the major efforts of the KRDHS was the testing of women and children for anemia. Testing was done by measuring hemoglobin levels in the blood, using the Hemocue technique. Before collecting the blood sample, each woman was asked to sign a consent form, giving permission for the collection of a blood droplet from her and her children. Results of the anemia testing were kept confidential (as are all KRDHS data); however, strictly with the consent of respondents, local health care facilities were informed of women who had severely low levels of hemoglobin (less than 7 g/dl).
Start | End |
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1997-08 | 1997-11 |
Name | Affiliation |
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Research Institute of Obstetrics and Pediatrics | Ministry of Health of the Kyrgyz Republic |
The KRDHS questionnaires were pretested in June 1997. Eight interviewers were trained over a two-week period at the Institute of Obstetrics and Pediatrics. The pretest included one week of interviewing in an urban area (Bishkek City) and one week in a rural area. A total of 120 women were interviewed. Pretest interviewers were retained to serve as supervisors and field editors for the main survey.
A total of 40 people (mainly the staff members of the Institute of Obstetrics and Pediatrics: physicians, researchers and nurses), were recruited as field supervisors, editors, interviewers and medical technicians for the main survey. They were trained for three weeks in July-August 1997. Training consisted of in-class lectures and practice, as well as interviewing in the field. Interviewers were selected based on their performance during the training period.
The KRDHS data collection was carried out by three teams. Each team consisted of eight members: the team supervisor, one editor, one household interviewer, four individual women interviewers, and one medical technician (responsible for height and weight measurement and anemia testing). All interviewers were female.
All three interviewing teams began work in Region 1 (Bishkek City) on August 8. After about two weeks of interviewing in Bishkek City, all teams were assigned to the remaining survey regions and fieldwork started in Regions 2 through 4. The data collection was completed on November 8, 1997
Questionnaires were returned to the Institute of Obstetrics and Pediatrics in Bishkek for data processing. The office editing staff checked that questionnaires for all selected households and eligible respondents were returned from the field. The few questions which had not been pre-coded (e.g., occupation, type of chronic disease) were coded at this time. Data were then entered and edited on microcomputers using the ISSA (Integrated System for Survey Analysis) package, with the data entry software translated into Russian. Office editing and data entry activities began on September 15, and were completed on December 17, 1997.
Sampling errors, on the other hand, can be evaluated statistically. The sample of respondents selected in the KRDHS 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 KRDHS sample is the result of a multistage stratified design, and consequently it was necessary to use more complex formulae. The computer software used to calculate sampling errors for the KRDHS is the ISSA Sampling Error Module. 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.
The Jackknife repeated replication method derives estimates of complex rates from each of several replications of the parent sample, and calculates standard errors for these estimates using simple formulae. Each replication considers all but one clusters in the calculation of the estimates. Pseudo-independent replications are thus created. In the KRDHS, there were 162 non-empty clusters. Hence, 162 replications were created.
In addition to the standard error, ISSA 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. ISSA also computes the relative error and confidence limits for the estimates.
Sampling errors for the KRDHS are calculated for selected variables considered to be of primary interest. The results are presented in an appendix of the Final Report for the country as a whole, for urban and rural areas, for four survey regions, and for four ethnic groups (Kyrgyz, Russian, Uzbek and other ethnic groups together). For each variable, the type of statistic (mean, proportion, or rate) and the base population are given in Table B.1 in the Final Report. Tables B.2 to B.12 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). Estimates and sampling errors of childhood mortality rates only apply to the national sample, the urban and rural samples. In the case of the total fertility rate, the number of unweighted cases is not relevant, as there is no known unweighted value for woman-years of exposure to childbearing.
The confidence interval (e.g., as calculated for children ever born to women aged 15-49) can be interpreted as follows: the overall average from the national sample is 2.351 and its standard error is .05. Therefore, to obtain the 95 percent confidence limits, one adds and subtracts twice the standard error to the sample estimate, i.e., 2.351±2×.05. There is a high probability (95 percent) that the true average number of children ever born to all women aged 15 to 49 is between 2.250 and 2.452.
Sampling errors are analyzed for the national sample and for two separate groups of estimates: (1) means and proportions and (2) complex demographic rates. The relative standard errors for the means and proportions range from 0.1 percent to 29.5 percent with an average of 6 percent; the highest relative standard errors are for estimates of very low value (e.g., severe anemia among women who were tested). If estimates of very low values (less than 10 percent) were removed, than the average would drop to 3.7 percent. So in general, the relative standard errors for most estimates for the country as a whole is small, except for estimates of very small proportions. The relative standard error for the total fertility rate is small, 4.4 percent. However, for the mortality rates, the average relative standard error is much higher, 17.1 percent.
There are differentials in the relative standard error for the estimates of population subgroups. For example, for the variable primary/secondary education, the relative standard errors as a percent of the estimated mean for the whole country, for the rural areas, and for Bishkek are 3 percent, 2.6 percent, and 7.1 percent, respectively.
For the total sample, the value of the design effect (DEFT) averaged over all variables is 1.35, which means that, due to multistage clustering of the sample, variance is increased by a factor of 1.8 over that in an equivalent simple random sample.
Nonsampling errors are the results 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 KRDHS to minimize 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 |
DDI_KGZ_1997_DHS_v01_M
Name | Role |
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World Bank, Development Economics Data Group | Generation of DDI documentation |
2012-05-15
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