Health Examination Survey 2002
Uzbekistan, 2002
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Reference ID
UZB_2002_SDHS_v01_M
Producer(s)
Ministry of Health
Collection(s)
Metadata
Created on
Aug 28, 2017
Last modified
Aug 28, 2017
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Identification
Survey ID Number
UZB_2002_SDHS_v01_M
Title
Health Examination Survey 2002
Country/Economy
| Name | Country code |
|---|---|
| Uzbekistan | UZB |
Study type
Demographic and Health Survey, Special [hh/dhs-sp]
Abstract
The 2002 Uzbekistan Health Examination Survey (UHES) was a nationally representative population and health examination survey carried out by the Analytical and Information Center of the Ministry of Health.
The principal objectives of the 2002 UHES were to provide current and reliable data and statistic indicators on reproductive health practices, infant and child mortality, and selected biometric indicators of the health of women age 15-49, men age 15-59, and children less than five years of age at the national level, and for urban and rural areas.
The principal objectives of the 2002 UHES were to provide current and reliable data and statistic indicators on reproductive health practices, infant and child mortality, and selected biometric indicators of the health of women age 15-49, men age 15-59, and children less than five years of age at the national level, and for urban and rural areas.
Unit of Analysis
- Household
- Individual
- Children age 0-5
- Woman age 15-49
- Man age 15-59
- Individual
- Children age 0-5
- Woman age 15-49
- Man age 15-59
Scope
Notes
The 2002 Uzbekistan Health Examination Survey covered the following topics:
HOUSEHOLD
• Identification
• Usual members and visitors in the selected households
• Background information on each person listed, such as relationship to head of the household, age, sex, school attendance, and highest educational attainment
• Characteristics of the household's dwelling unit, such as the source of water, type of toilet facilities, type of fuel used for cooking, materials used for the floor and walls of the house, and possessions of durable goods
• Weight and height measurement for children
• Weight and height measurement for women (15-49 years)
• Weight and height measurement for men (15-59 years)
• Venous blood collection for vitamin A testing for children
• Lead measurement for children
• Venous blood collection for women and men
• Vaginal swab collection for ever-married women
INDIVIDUAL WOMAN
• Respondent's background and general health
• Reproduction
• Contraception
• Children's health
• Nutrition
• Physical activity
• Health care access and utilization
• Blood pressure
• Respiratory and allergy
• Tuberculosis
• Smoking
• Alcohol consumption and narcotics
• Dental
• Injury
• Mental health
• Marriage and sexual activity
• HIV/AIDS and other STIs
• Women's work and other topics
INDIVIDUAL MAN
• Respondent's background and general health
• Nutrition
• Physical activity
• Health care access and utilization
• Blood pressure
• Respiratory and allergy
• Tuberculosis
• Smoking
• Alcohol consumption and narcotics
• Dental
• Injury
• Mental health
• Marriage and sexual activity
• HIV/AIDS and other STIs
• Attitudes toward women
HOUSEHOLD
• Identification
• Usual members and visitors in the selected households
• Background information on each person listed, such as relationship to head of the household, age, sex, school attendance, and highest educational attainment
• Characteristics of the household's dwelling unit, such as the source of water, type of toilet facilities, type of fuel used for cooking, materials used for the floor and walls of the house, and possessions of durable goods
• Weight and height measurement for children
• Weight and height measurement for women (15-49 years)
• Weight and height measurement for men (15-59 years)
• Venous blood collection for vitamin A testing for children
• Lead measurement for children
• Venous blood collection for women and men
• Vaginal swab collection for ever-married women
INDIVIDUAL WOMAN
• Respondent's background and general health
• Reproduction
• Contraception
• Children's health
• Nutrition
• Physical activity
• Health care access and utilization
• Blood pressure
• Respiratory and allergy
• Tuberculosis
• Smoking
• Alcohol consumption and narcotics
• Dental
• Injury
• Mental health
• Marriage and sexual activity
• HIV/AIDS and other STIs
• Women's work and other topics
INDIVIDUAL MAN
• Respondent's background and general health
• Nutrition
• Physical activity
• Health care access and utilization
• Blood pressure
• Respiratory and allergy
• Tuberculosis
• Smoking
• Alcohol consumption and narcotics
• Dental
• Injury
• Mental health
• Marriage and sexual activity
• HIV/AIDS and other STIs
• Attitudes toward women
Coverage
Geographic Coverage
National coverage
Universe
The population covered by the 2002 UHES was defined as the universe of all women age 15-49, men age 15-59, and children less than five years of age residing in private households.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Ministry of Health | Republic of Uzbekistan |
Producers
| Name | Affiliation | Role |
|---|---|---|
| State Department of Statistics | Republic of Uzbekistan | Collaborated in the implementation of the study |
| Ministry of Macroeconomics and Statistics | Republic of Uzbekistan | Collaborated in the implementation of the study |
| ORC Macro | MEASURE DHS | Provided technical assistance |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| Republic of Uzbekistan | GovUZB | Funded the study |
| United States Agency for International Development | USAID | Funded the study |
Sampling
Sampling Procedure
The sample was designed to provide demographic and health indicators, including fertility and childhood mortality rates, at the national level and for urban and rural areas. The sample design specified a target of 800 female respondents in each of the five sampling regions. In addition, on request of the Ministry of Health and UNICEF, the Autonomous Republic of Karakalpakstan and Ferghana Oblast were over sampled to provide approximately 800 women in each, yielding a target sample size of approximately 5,600 women. Fertility rates and other indicators were estimated for the regions.
A weighted, multistage, stratified, cluster sampling design was employed. In total, 219 sample clusters were selected for the sample (101 in urban areas and 118 in rural areas). Then, a household list- ing operation was conducted in each sample cluster. The final selection of approximately 20 households per cluster was made at survey headquarters in Tashkent using systematic random sampling. The selected sample consisted of 4,385 households.
All selected households that were occupied were eligible for the Household Questionnaire. In all regions, all women age 15-49 in the selected households were eligible for the Women's Questionnaire. Eligibility for the Men's Questionnaire differed between Tashkent City and the other four regions. In Tashkent City, all men age 15-59 in the selected households were eligible respondents, while in the four remaining regions only men age 15-59 in every third household were eligible respondents. The rationale for a larger sample of men from Tashkent City was to ensure a sufficient number of observations to per- mit gender comparisons of the biodata collected only in Tashkent City.
Note: Appendix A of the final report provides more information on the sample design.
A weighted, multistage, stratified, cluster sampling design was employed. In total, 219 sample clusters were selected for the sample (101 in urban areas and 118 in rural areas). Then, a household list- ing operation was conducted in each sample cluster. The final selection of approximately 20 households per cluster was made at survey headquarters in Tashkent using systematic random sampling. The selected sample consisted of 4,385 households.
All selected households that were occupied were eligible for the Household Questionnaire. In all regions, all women age 15-49 in the selected households were eligible for the Women's Questionnaire. Eligibility for the Men's Questionnaire differed between Tashkent City and the other four regions. In Tashkent City, all men age 15-59 in the selected households were eligible respondents, while in the four remaining regions only men age 15-59 in every third household were eligible respondents. The rationale for a larger sample of men from Tashkent City was to ensure a sufficient number of observations to per- mit gender comparisons of the biodata collected only in Tashkent City.
Note: Appendix A of the final report provides more information on the sample design.
Response Rate
A total of 4,385 households were selected, of which 4,207 were occupied households. Household interviews were completed for 4,168 households, for a household response rate of 99.1 percent of the occupied households. A total of 5,588 eligible women were found in the occupied households, and interviews were completed for 5,463 women, for an eligible woman response rate of 97.8 percent. The overall response rate for women (the product of the household and eligible woman response rates) was 96.9 percent.
For the men’s sample, a total of 2,094 households were selected, of which 2,007 were occupied households. Household interviews were completed for 1,982 households, for a household response rate of 98.8 percent of the occupied households. A total of 2,447 eligible men were found in the occupied households, and interviews were completed for 2,333 men, for an eligible man response rate of 95.3 percent. The overall response rate for men (the product of the household and eligible man response rates) was 94.2
percent.
The overall response rates were high for both women and men, although somewhat higher for women (96.9) than for men (94.2 percent). For both women and men, the overall rates did not differ greatly between urban and rural areas or among the regions, with the single exception that the rates were somewhat lower for the East-Central region (93.0 percent for women and 88.1 percent for men).
For the men’s sample, a total of 2,094 households were selected, of which 2,007 were occupied households. Household interviews were completed for 1,982 households, for a household response rate of 98.8 percent of the occupied households. A total of 2,447 eligible men were found in the occupied households, and interviews were completed for 2,333 men, for an eligible man response rate of 95.3 percent. The overall response rate for men (the product of the household and eligible man response rates) was 94.2
percent.
The overall response rates were high for both women and men, although somewhat higher for women (96.9) than for men (94.2 percent). For both women and men, the overall rates did not differ greatly between urban and rural areas or among the regions, with the single exception that the rates were somewhat lower for the East-Central region (93.0 percent for women and 88.1 percent for men).
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2002-09 | 2002-12 |
Data Collection Mode
Face-to-face [f2f]
Data Collection Notes
Sixty-five medical personnel, mostly physicians, were recruited and trained to be staff for the interviewing teams. Training, which started on August 12 and continued for four weeks, was conducted in Uzbek and Russian and consisted of lectures, demonstrations, and practice interviewing. Two physicians from the MOH who had participated in the pretest conducted the training. Staff from the Demographic and Health Surveys program assisted with the training. The fourth week of training consisted of field practice conducted on a team basis.
On September 9, data collection started in Tashkent City and within a few days in the four remaining regions. By December 15, all interviewing teams had completed data collection in their regions.
On September 9, data collection started in Tashkent City and within a few days in the four remaining regions. By December 15, all interviewing teams had completed data collection in their regions.
Questionnaires
Questionnaires
The UHES employed three survey instruments: a Household Questionnaire, a Women’s Questionnaire, and a Men’s Questionnaire. The survey instruments were based on the model questionnaires developed by the MEASURE DHS+ project augmented by modules on topics related to adult health. The data collection instruments were reviewed and approved by an Advisory Committee of subject matter experts appointed by the Minister of Health during the summer of 2001.
Data Processing
Data Editing
Data processing took place at the Analytical and Information Center of the Ministry of Health. The office editing staff checked to confirm that questionnaires for all selected households and all eligible respondents were returned from the field. The few questions that had not been precoded (e.g., occupation) were coded at this time. The data were then entered and edited on computers using the ISSA(Integrated System for Survey Analysis) package, with the data entry software translated into Russian. Office editing and data entry activities were conducted between September 2002 and February 2003.
Data Appraisal
Estimates of Sampling Error
The estimates from a sample survey are affected by two types of errors: 1) nonsampling errors, and 2) sampling errors. 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 by either the interviewer or the respondent, and data entry errors. Although numerous efforts were made during the implementation of the 2002 Uzbekistan Health Examination Survey (UHES) to minimize this type of error, nonsampling errors are impossible to avoid and difficult to evaluate statistically.
Sampling errors, on the other hand, can be evaluated statistically. The sample of respondents selected in the 2002 UHES 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 (e.g., mean, percentage), 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 2002 UHES 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 2002 UHES is the Integrated System for Survey Analysis (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.
A more detailed description of estimates of sampling errors are presented in Appendix B of the survey report.
Sampling errors, on the other hand, can be evaluated statistically. The sample of respondents selected in the 2002 UHES 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 (e.g., mean, percentage), 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 2002 UHES 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 2002 UHES is the Integrated System for Survey Analysis (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.
A more detailed description of estimates of sampling errors are presented in Appendix B of the survey report.
Data Appraisal
Data Quality Tables
- Household age distribution
- Age distribution of eligible and interviewed women
- Completeness of reporting
- Births by calendar years
- Reporting of age at death in days
- Reporting of age at death in months
Note: See details of the data quality tables in Appendix C of the report.
- Household age distribution
- Age distribution of eligible and interviewed women
- Completeness of reporting
- Births by calendar years
- Reporting of age at death in days
- Reporting of age at death in months
Note: See details of the data quality tables in Appendix C of the report.
Access policy
Contacts
Access conditions
Request Dataset Access
The following applies to DHS, MIS, AIS and SPA survey datasets (Surveys, GPS, and HIV).
To request dataset access, you must first be a registered user of the website. You must then create a new research project request. The request must include a project title and a description of the analysis you propose to perform with the data.
The requested data should only be used for the purpose of the research or study. To request the same or different data for another purpose, a new research project request should be submitted. The DHS Program will normally review all data requests within 24 hours (Monday - Friday) and provide notification if access has been granted or additional project information is needed before access can be granted.
DATASET ACCESS APPROVAL PROCESS
Access to DHS, MIS, AIS and SPA survey datasets (Surveys, HIV, and GPS) is requested and granted by country. This means that when approved, full access is granted to all unrestricted survey datasets for that country. Access to HIV and GIS datasets requires an online acknowledgment of the conditions of use.
Required Information
A dataset request must include contact information, a research project title, and a description of the analysis you propose to perform with the data.
Restricted Datasets
A few datasets are restricted and these are noted. Access to restricted datasets is requested online as with other datasets. An additional consent form is required for some datasets, and the form will be emailed to you upon authorization of your account. For other restricted surveys, permission must be granted by the appropriate implementing organizations, before The DHS Program can grant access. You will be emailed the information for contacting the implementing organizations. A few restricted surveys are authorized directly within The DHS Program, upon receipt of an email request.
When The DHS Program receives authorization from the appropriate organizations, the user will be contacted, and the datasets made available by secure FTP.
GPS/HIV Datasets/Other Biomarkers
Because of the sensitive nature of GPS, HIV and other biomarkers datasets, permission to access these datasets requires that you accept a Terms of Use Statement. After selecting GPS/HIV/Other Biomarkers datasets, the user is presented with a consent form which should be signed electronically by entering the password for the user's account.
Dataset Terms of Use
Once downloaded, the datasets must not be passed on to other researchers without the written consent of The DHS Program. All reports and publications based on the requested data must be sent to The DHS Program Data Archive in a Portable Document Format (pdf) or a printed hard copy.
Download Datasets
Datasets are made available for download by survey. You will be presented with a list of surveys for which you have been granted dataset access. After selecting a survey, a list of all available datasets for that survey will be displayed, including all survey, GPS, and HIV data files. However, only data types for which you have been granted access will be accessible. To download, simply click on the files that you wish to download and a "File Download" prompt will guide you through the remaining steps.
The following applies to DHS, MIS, AIS and SPA survey datasets (Surveys, GPS, and HIV).
To request dataset access, you must first be a registered user of the website. You must then create a new research project request. The request must include a project title and a description of the analysis you propose to perform with the data.
The requested data should only be used for the purpose of the research or study. To request the same or different data for another purpose, a new research project request should be submitted. The DHS Program will normally review all data requests within 24 hours (Monday - Friday) and provide notification if access has been granted or additional project information is needed before access can be granted.
DATASET ACCESS APPROVAL PROCESS
Access to DHS, MIS, AIS and SPA survey datasets (Surveys, HIV, and GPS) is requested and granted by country. This means that when approved, full access is granted to all unrestricted survey datasets for that country. Access to HIV and GIS datasets requires an online acknowledgment of the conditions of use.
Required Information
A dataset request must include contact information, a research project title, and a description of the analysis you propose to perform with the data.
Restricted Datasets
A few datasets are restricted and these are noted. Access to restricted datasets is requested online as with other datasets. An additional consent form is required for some datasets, and the form will be emailed to you upon authorization of your account. For other restricted surveys, permission must be granted by the appropriate implementing organizations, before The DHS Program can grant access. You will be emailed the information for contacting the implementing organizations. A few restricted surveys are authorized directly within The DHS Program, upon receipt of an email request.
When The DHS Program receives authorization from the appropriate organizations, the user will be contacted, and the datasets made available by secure FTP.
GPS/HIV Datasets/Other Biomarkers
Because of the sensitive nature of GPS, HIV and other biomarkers datasets, permission to access these datasets requires that you accept a Terms of Use Statement. After selecting GPS/HIV/Other Biomarkers datasets, the user is presented with a consent form which should be signed electronically by entering the password for the user's account.
Dataset Terms of Use
Once downloaded, the datasets must not be passed on to other researchers without the written consent of The DHS Program. All reports and publications based on the requested data must be sent to The DHS Program Data Archive in a Portable Document Format (pdf) or a printed hard copy.
Download Datasets
Datasets are made available for download by survey. You will be presented with a list of surveys for which you have been granted dataset access. After selecting a survey, a list of all available datasets for that survey will be displayed, including all survey, GPS, and HIV data files. However, only data types for which you have been granted access will be accessible. To download, simply click on the files that you wish to download and a "File Download" prompt will guide you through the remaining steps.
Citation requirements
Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
Access authority
| Name | URL | |
|---|---|---|
| The DHS Program | archive@dhsprogram.com | Link |
Disclaimer and copyrights
Disclaimer
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.
Metadata production
DDI Document ID
DDI_UZB_2002_SDHS_v01_M_WB
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Development Data Group | DECDG | The World Bank | Metadata preparation |
DDI Document version
Version 01 (August 2017). Metadata is excerpted from "Uzbekistan Health Examination Survey 2002" Report.