Vukuzazi Recruitment and Health Camp Data.2021
South Africa, 2018 - 2020
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Reference ID
AHRI.Vukuzazi.2021
Producer(s)
Emily Wong, Mark Siedner, Thumbi N’dungu, Willem Hanekom, Kobus Herbst
Collections
Metadata
Created on
Feb 08, 2021
Last modified
Feb 08, 2021
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66936
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540
Identification
Survey ID Number
AHRI.Vukuzazi.2021
Title
Vukuzazi Recruitment and Health Camp Data.2021
Country
| Name | Country code |
|---|---|
| South Africa | ZA |
Abstract
In response to the challenge posed by the intersection of the HIV, TB and NCD epidemics, AHRI partnered with the uMkhanyakude community and local public health system in 2018 to build upon the existing wealth of demographic and health information that had been collected over the last 16 years. The project aimed at adding an ambitious program that would survey the state of the community's health using mobile clinics, screen for the most important infectious and non-communicable diseases and refer newly diagnosed cases for treatment, and obtain a broad range of population-based biological samples to support cutting-edge research on the relationship between host, pathogens and non-communicable diseases. Most importantly, this work would lay the groundwork for ongoing longitudinal projects that would span basic biological investigation, experimental medicine and implementation science to improve human health in the uMkhanyakude district and the broader community.
Vukuzazi three key new activities were:
1. Health and disease characterization. Efforts to characterize disease would focus on the most prevalent and highest priority infectious (HIV and tuberculosis) and non-communicable diseases (hypertension and diabetes). By identifying the most significant diseases and performing population-based screening, we hoped to identify the ways in which these conditions impacted our population and interacted with each other. Our strategy attempted to balance comprehensiveness with efficiency by making measurements and providing testing for key conditions while collecting samples that would allow future characterization of additional diseases as more funds and novel tests became available.
2. Biological sampling and biobanking. Collection, processing, storage and analysis of high-quality biological specimens from a population-based cohort of individuals with accurate health and disease characterization would be a key achievement of Vukuzazi that would create a foundational resource for scientific and health research.
3. Community and participant consent for genetic testing and longitudinal follow-up.
Together these would create a platform for population-based 'omics study of infectious and non-communicable diseases and laid the groundwork for longitudinal and case-control studies of specific states of disease and health. Additionally, Vukuzazi would provide an important baseline for future implementation science / public health projects and a framework for the implementation of individual and population level health interventions that would be designed in response to the initial survey. In addition, the programme would consolidate the individual-level service delivery data on primary health care clinic and hospital attendances and linkage of these data to the data obtained from the health and disease characterization at the mobile clinic.
Vukuzazi three key new activities were:
1. Health and disease characterization. Efforts to characterize disease would focus on the most prevalent and highest priority infectious (HIV and tuberculosis) and non-communicable diseases (hypertension and diabetes). By identifying the most significant diseases and performing population-based screening, we hoped to identify the ways in which these conditions impacted our population and interacted with each other. Our strategy attempted to balance comprehensiveness with efficiency by making measurements and providing testing for key conditions while collecting samples that would allow future characterization of additional diseases as more funds and novel tests became available.
2. Biological sampling and biobanking. Collection, processing, storage and analysis of high-quality biological specimens from a population-based cohort of individuals with accurate health and disease characterization would be a key achievement of Vukuzazi that would create a foundational resource for scientific and health research.
3. Community and participant consent for genetic testing and longitudinal follow-up.
Together these would create a platform for population-based 'omics study of infectious and non-communicable diseases and laid the groundwork for longitudinal and case-control studies of specific states of disease and health. Additionally, Vukuzazi would provide an important baseline for future implementation science / public health projects and a framework for the implementation of individual and population level health interventions that would be designed in response to the initial survey. In addition, the programme would consolidate the individual-level service delivery data on primary health care clinic and hospital attendances and linkage of these data to the data obtained from the health and disease characterization at the mobile clinic.
Kind of Data
1. Household recruitment data, 2. Health camp survey data, (a) Past and current medical history, (b) Tubercolosis symptoms, (c) Alcohol and tobacco use, Quality of life, Medications, 3. Biometrics; (a) Blood pressure, (b) Blood pressure, (b) Anthropomorphic data, 4. Laboratory result; (a) HIV testing, including viral load and CD4 count, (b) Hemoglobin A1c, 5. Chest X-ray result, 6. No-response wait variable
Unit of Analysis
Each unit of observation (row) in the dataset includes one individual in the Population Intervention Platform
Version
Version Description
V2.0.0
Scope
Topics
| Topic | Vocabulary | URI |
|---|---|---|
| HIV infection; tuberculosis; non-communicable diseases; South Africa; population health; demographic and health survey; biobank | Africa Health Research Institute | www.ahri.org |
Keywords
| Keyword | Vocabulary | URI |
|---|---|---|
| HIV infection; tuberculosis; non-communicable diseases; South Africa; population health; demographic and health survey; biobank | Africa Health Research Institute | www.ahri.org |
Coverage
Geographic Coverage
uMkhanyakude district in northern KwaZulu-Natal
Universe
All adults aged 15 and greater who are resident members of households in the AHRI DSS area
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Emily Wong | AHRI/MGH |
| Mark Siedner | AHRI/MGH |
| Thumbi N’dungu | AHRI |
| Willem Hanekom | AHRI |
| Kobus Herbst | AHRI |
Producers
| Name |
|---|
| Africa Health Research Institute |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| Wellcome Trust | WT | Core funding |
| SAPRIN | SAPRIN |
Other Identifications/Acknowledgments
| Name | Affiliation | Role |
|---|---|---|
| Dickman Gareta | Africa Health Research Institute | Head of Research Data Management |
| Tshwaraganang Modise | Africa Health Research Institute | Data management, data cleaning |
| Jaco Dreyer | Africa Health Research Institute | Data management, data cleaning |
| Siyabonga Nxumalo | Africa Health Research Institute | Data management, data cleaning |
| Sweetness Dube | Africa Health Research Institute | Data documentation and archive |
| Resign Gunda | Africa Health Research Institute | Programme management |
| Ashmika Surujdeen | Africa Health Research Institute | Programme management |
| Olivier Koole | Africa Health Research Institute | Programme management |
| Ngcebo Mhlongo | Africa Health Research Institute | Study clinician |
| Sanah Bucico | Africa Health Research Institute | Nurse lead |
| Thandeka Khoza | Africa Health Research Institute | Clinical Research |
| Theresa Smit | Africa Health Research Institute | Laboratory |
| Greg Ording | Africa Health Research Institute | Laboratory |
Sampling
Sampling Procedure
All individuals aged 15 years and older who are resident members of households in the DSS area were eligible to participate in the Vukuzazi Study. Consenting individuals who completed the health camp procedures during May 2018 - March 2020 are included in this dataset.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2018-05-25 | 2020-03-13 |
Access policy
Access conditions
The representative of the Receiving Organization agrees to comply with the following conditions:
1. Access to the restricted data will be limited to the Lead Researcher and other members of the research team listed in this request.
2. Copies of the restricted data or any data created on the basis of the original data will not be copied or made available to anyone other than those mentioned in this Data Access Agreement, unless formally authorized by the Data Archive.
3. The data will only be processed for the stated statistical and research purpose. They will be used for solely for reporting of aggregated information, and not for investigation of specific individuals or organizations. Data will not in any way be used for any administrative, proprietary or law enforcement purposes.
4. The Lead Researcher must state if it is their intention to match the restricted microdata with any other micro-dataset. If any matching is to take place, details must be provided of the datasets to be matched and of the reasons for the matching. Any datasets created as a result of matching will be considered to be restricted and must comply with the terms of this Data Access Agreement.
5. The Lead Researcher undertakes that no attempt will be made to identify any individual person, family, business, enterprise or organization. If such a unique disclosure is made inadvertently, no use will be made of the identity of any person or establishment discovered and full details will be reported to the Data Archive. The identification will not be revealed to any other person not included in the Data Access Agreement.
6. The Lead Researcher will implement security measures to prevent unauthorized access to licensed microdata acquired from the Data Archive. The microdata must be destroyed upon the completion of this research, unless the Data Archive obtains satisfactory guarantee that the data can be secured and provides written authorization to the Receiving Organization to retain them. Destruction of the microdata will be confirmed in writing by the Lead Researcher to the Data Archive.
7. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the Data Archive will cite the source of data in accordance with the citation requirement provided with the dataset.
8. An electronic copy of all reports and publications based on the requested data will be sent to the Data Archive.
9. The original collector of the data, the Data Archive, and the relevant funding agencies bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
10. This agreement will come into force on the date that approval is given for access to the restricted dataset and remain in force until the completion date of the project or an earlier date if the project is completed ahead of time.
11. If there are any changes to the project specification, security arrangements, personnel or organization detailed in this application form, it is the responsibility of the Lead Researcher to seek the agreement of the Data Archive to these changes. Where there is a change to the employer organization of the Lead Researcher this will involve a new application being made and termination of the original project.
12. Breaches of the agreement will be taken seriously and the Data Archive will take action against those responsible for the lapse if willful or accidental. Failure to comply with the directions of the Data Archive will be deemed to be a major breach of the agreement and may involve recourse to legal proceedings. The Data Archive will maintain and share with partner data archives a register of those individuals and organizations which are responsible for breaching the terms of the Data Access Agreement and will impose sanctions on release of future data to these parties.
1. Access to the restricted data will be limited to the Lead Researcher and other members of the research team listed in this request.
2. Copies of the restricted data or any data created on the basis of the original data will not be copied or made available to anyone other than those mentioned in this Data Access Agreement, unless formally authorized by the Data Archive.
3. The data will only be processed for the stated statistical and research purpose. They will be used for solely for reporting of aggregated information, and not for investigation of specific individuals or organizations. Data will not in any way be used for any administrative, proprietary or law enforcement purposes.
4. The Lead Researcher must state if it is their intention to match the restricted microdata with any other micro-dataset. If any matching is to take place, details must be provided of the datasets to be matched and of the reasons for the matching. Any datasets created as a result of matching will be considered to be restricted and must comply with the terms of this Data Access Agreement.
5. The Lead Researcher undertakes that no attempt will be made to identify any individual person, family, business, enterprise or organization. If such a unique disclosure is made inadvertently, no use will be made of the identity of any person or establishment discovered and full details will be reported to the Data Archive. The identification will not be revealed to any other person not included in the Data Access Agreement.
6. The Lead Researcher will implement security measures to prevent unauthorized access to licensed microdata acquired from the Data Archive. The microdata must be destroyed upon the completion of this research, unless the Data Archive obtains satisfactory guarantee that the data can be secured and provides written authorization to the Receiving Organization to retain them. Destruction of the microdata will be confirmed in writing by the Lead Researcher to the Data Archive.
7. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the Data Archive will cite the source of data in accordance with the citation requirement provided with the dataset.
8. An electronic copy of all reports and publications based on the requested data will be sent to the Data Archive.
9. The original collector of the data, the Data Archive, and the relevant funding agencies bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
10. This agreement will come into force on the date that approval is given for access to the restricted dataset and remain in force until the completion date of the project or an earlier date if the project is completed ahead of time.
11. If there are any changes to the project specification, security arrangements, personnel or organization detailed in this application form, it is the responsibility of the Lead Researcher to seek the agreement of the Data Archive to these changes. Where there is a change to the employer organization of the Lead Researcher this will involve a new application being made and termination of the original project.
12. Breaches of the agreement will be taken seriously and the Data Archive will take action against those responsible for the lapse if willful or accidental. Failure to comply with the directions of the Data Archive will be deemed to be a major breach of the agreement and may involve recourse to legal proceedings. The Data Archive will maintain and share with partner data archives a register of those individuals and organizations which are responsible for breaching the terms of the Data Access Agreement and will impose sanctions on release of future data to these parties.
Metadata production
DDI Document ID
DDI.AHRI.Vukuzazi.2021
Producers
| Name | Abbreviation |
|---|---|
| Africa Health Research Institute | AHRI |