SAPRIN United Nations Population Fund Sexual and Reproductive Health and Rights 2023
South Africa, 2022
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SAPRIN.UNFPA2023
SAPRIN United Nations Population Fund Sexual and Reproductive Health and Rights 2023
| Name | Country code |
|---|---|
| South Africa | RSA |
Demographic Surveillance
East and Southern Africa (ESA), home to over 600 million people, has made considerable advances in improving sexual and reproductive health (SRH) outcomes. These advancements are being undermined by the coronavirus disease 2019 (Covid-19) outbreak and its associated public health responses. Many ESA country governments have taken unprecedented measures to limit the spread of the virus, ramping up health system responses and announcing lockdowns and movement restrictions which have affected millions of people. As the pandemic evolves, countries might modify these measures, and these are likely to disrupt access to life-saving sexual and reproductive health services including gender-based violence (GBV) prevention and response services. Therefore, while dealing with the COVID-19 pandemic’s protracted response and recovery, it is critical to ensure continued access to quality essential sexual and reproductive health (SRH) information and services, including services pertaining to GBV. Consequences of inaction in this regard could lead to a rise in unmet need for contraception; unintended pregnancies (including high-risk teen pregnancies); HIV and other sexually transmitted infections; unsafe deliveries; and unsafe abortions. Furthermore, because of the increased social and economic pressures created by the COVID-19 pandemic, existing gender inequalities and vulnerabilities are worsening, which in turn has increased the risk of mental, physical, and sexual abuse along with other harmful practices especially among the already vulnerable groups such as women, adolescents and young people. Early data from COVID-19 affected countries showed a 30 percent increase in the number of gender-based violence cases during lockdown restrictions. Also, key populations remain vulnerable owing to reduced livelihoods, stigma and discrimination.
Event history data
Individuals
Version
v1: Dataset for public distribution.
2023-04-14
v1: Dataset for public distribution.
Scope
The study scope measures the COVID-19 response effect on access to Sexual and Reproductive Health (defined as Minimum Initial Service Package (SRH-MISP)) and access to HIV treatment and prevention services, measuring the following indicators:
? Access to SRH - services
? Access to contraception during lockdown periods
? Unmet contraception need (“I don’t to intend to fall pregnant but not currently using contraception question - proxy measure of potential unintended pregnancy” and a follow-up question on reason why not accessing to assess enablers and barriers of access)
? Access to MCH – including ANC and post-natal services
? Management of unwanted pregnancy
? Demand and access to fertility counselling and support services
? Demand and access to reproductive cancers HPV – pap smears services
? Demand and access to sexual health promotion and education services
? Access to HIV prevention and treatment services
? Access to HIV prevention services such as HIV testing, VMMC services, condoms and PrEP during lockdown periods
? Access to ART during lockdown
? Initiation of ART and PrEP by eligible participants
? Drop-outs/loss to follow-up on PrEP and ART
? Missed clinic visit dates for drug pick up (e.g. ART, PrEP, contraception)
? Missed clinic visit dates for ANC and post-natal visits
? Proportion unintended pregnancies
| Topic |
|---|
| COVID-19, Sexual and Reproductive Health, Health Seeking Behaviour |
Coverage
SAPRIN (South African Population Research Infrastructure Network) is a network of health and demographic surveillance sites in South Africa that consists of five Health and Demographic Surveillance System (HDSS) nodes located in South Africa, namely: 1) MRC/Wits University Agincourt HDSS in Bushbuckridge District, Mpumalanga, which has collected data since 1993. The nodal website is http://www.agincourt.co.za. 2) the University of Limpopo DIMAMO HDSS in the Capricorn District of Limpopo, which has collected data since 1996.The nodal website is: N/A. 3) the Africa Health Research Institute (AHRI) HDSS in uMkhanyakude District, KwaZulu-Natal, which has collected data since 2000. The nodal website is http://www.ahri.org. 4) the Gauteng Research Triangle Initiative for the Study of Population, Infrastructure and Regional Economic Development (GRT-INSPIRED) in Hillbrow, Johannesburg, and Atteridgeville and Melusi, Tshwane, Gauteng. The nodal website is: N/A. 5) and the Cape Town Surveillance through Healthcare Action Research Project (C-SHARP), Nomzamo and Bishop Lavis, Cape Town, Western Cape. The nodal website is: N/A.
The Survey covered a random sample of 460 women and 460 men aged 15-49 years from the Agincourt, DIMAMO an AHRI surveillance sites.
Producers and sponsors
| Name | Affiliation |
|---|---|
| Dr Kobus Herbst | SAPRIN |
| Tinofa Mutevedzi | SAPRIN |
| Dr Natsayi Chimbindi | AHRI |
| Palesa Mataboge | MRC/WITS Agincourt |
| Prof Xavier Gómez-Olivé | MRC/WITS Agincourt |
| Rathani Nemuramba | DIMAMO |
| Katlego Mothapo | DIMAMO |
| Name | Affiliation | Role |
|---|---|---|
| Dr Molulaqhooa Linda Maoyi | SAPRIN | Technical Assistance |
| Mfundo Khumalo | SAPRIN | Technical Assistance |
| Joseph Tlouyamma | DIMAMO | Technical Assistance |
| Dickman Gareta | AHRI | Technical Assistance |
| Siyabonga Nxumalo | AHRI | Technical Assistance |
| Lusanda Mazibuko | AHRI | Biostatistician |
| Name | Role |
|---|---|
| United Nations Population Fund | Funder |
| Name | Affiliation | Role |
|---|---|---|
| Agincourt Data Team | Agincourt | Providing Data |
| DIMAMO Data Team | DIMAMO | Providing Data |
| AHRI Data Team | AHRI | Providing Data |
| Centre for High Performance Computing | Centre for High Performance Computing | Providing IT Infrastucture for Data Processing |
Sampling
The study select a random sample of 460 women and 460 men aged 15-49 years from each SAPRIN site.
Survey instrument
The data on this Repository is not the result of a single questionnaire but is a result of harmonised data from three different sites longitudinally collected over more than twenty years using different questionnaires that varied over time and site.
Data collection
| Start | End | Cycle |
|---|---|---|
| 2022-08-01 | 2022-09-30 | Round 1 |
| 2022-10-24 | 2022-11-30 | Round 2 |
2017
In all the HDSS nodes, data are collected from a household proxy respondent, preferably the head of household or any next available senior adult resident household member, after informed consent was obtained by trained fieldworkers. Respondents are informed of the purpose and confidentiality of the interview, their right to refuse participation or withdraw from the study, and that scientists would be given access to anonymised data to analyse and publish information. Informed consent was verbal in all HDSS nodes until 2016. Written informed consent started in 2017 in AHRI, and 2018 in DIMAMO and 2019 in Agincourt. Until 2016 for Agincourt and AHRI, and 2017 for DIMAMO, data collection was field-based 'paper and pen' personal interviews (PAPI), before changing to field-based computer-assisted personal interviews (CAPI). Since 2019, all SAPRIN HDSS nodes collect data in 3 annual rounds over a 45-week data collection schedule; one field-based CAPI round, sandwiched on either side by a Call-Centre-based computer assisted telephonic interview (CATI), to create 3 data points at an interval of approximately 4 months in each calendar year. In the past HDSS nodes had different data collection frequencies. AHRI data collection was 2 PAPI rounds per year from inception to 2011, changing to 3 PAPI rounds per year between 2012 and 2016, before becoming 1 PAPI round and 2 CATI rounds from 2017. Agincourt and DIMAMO have been collecting data once annually in a census-type format, over 4-5-month period until 2018.
Data processing
The first step in the data preparation process is quality assurance. The SAPRIN Management hub team assess the data submitted to ensure it is in the correct format and falls within expected value ranges. Other potential issues checked include: missing data, incorrect data types, unexpected duplicate or orphan records. The SAPRIN Management hub assess this conversion by running both original operational database and the SAPRIN database created from the operational database through the iSHARE data quality assessment and indicator process. The data quality checking process is conducted using Pentaho Data Integration (PDI). PDI provides the Extract, Transform, and Load (ETL) capabilities that facilitates the process of capturing, cleansing, and storing data using a uniform and consistent format that is accessible and relevant to end users. The principle of the data quality checks is that if the data conversion conducted by the nodes was complete and accurate, there should be little or no difference in the data quality and demographic indicators between the base and SAPRIN versions of the nodal data. If the data submitted by the nodes meets the criteria for inclusion into the consolidated dataset the data moves to the second step of the data production process. However, if the data fail the inclusion checks, this could then lead to another iteration of data submission and quality control checks until SAPRIN Management hub is satisfied that they have high quality data.To produce this final standard dataset, the data is processed using PDI on the Centre for High Performance Computing cluster.
Data appraisal
Not Applicable
Data Access
| Name | Affiliation | URL | |
|---|---|---|---|
| Molulaqhooa Linda Maoyi | SAPRIN | http://saprin.mrc.ac.za/ | linda.maoyi@mrc.ac.za |
| Kobus Herbst | SAPRIN | http://saprin.mrc.ac.za/ | kobus.herbst@mrc.ac.za |
This data is made available for access under the following conditions:
1)The data and other materials provided by SAPRIN will not be redistributed or sold to other individuals, institutions, or organizations without the written agreement of SAPRIN.
2)The data will be used for statistical and scientific research purposes only. They will be used solely for reporting of aggregated information, and not for investigation of specific individuals or organisations. The Data User will neither use nor permit others to use the data in any way other than listed in the original application (Analysis Plan) for access to the dataset.
3)No attempt will be made to re-identify respondents, and no use will be made of the identity of any person or establishment discovered inadvertently. Any such discovery should immediately be reported to SAPRIN.
4)No attempt will be made to produce links among datasets provided by SAPRIN, or among data from SAPRIN and other datasets that could identify individuals or organizations.
5)The Data User will ensure that the data are kept in a secured environment and that only authorized users have access to the data.
6)Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from SAPRIN will cite the source of data in accordance with the Citation Requirement provided with each dataset.
7)An electronic copy of all reports and publications based on the requested data will be sent to SAPRIN.
8)The original collector of the data, SAPRIN, and relevant funding agencies bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
9) Once the data set has served its indicated purpose it must be destroyed. If the dataset needs to be lodged for publication purposes, a reference (a digital object identifier will be maintained by SAPRIN for this purpose) to the original dataset on the SAPRIN data repository should be used. Derived or aggregated datasets produced from the original dataset do not fall within this provision and may be lodged as publication datasets. If the same dataset is needed for a different purpose, the dataset should be re-requested and the new purposes indicated.
Maoyi, ML; Khumalo, ML; Herbst, K ; Mutevedzi, T (2023): Access to Sexual and Reproductive Health and Rights Services During COVID-19 dataset : Round 1. South African Population Research Infrastructure Network.
Maoyi, ML; Khumalo, ML; Herbst, K ; Mutevedzi, T (2023): Access to Sexual and Reproductive Health and Rights Services During COVID-19 dataset : Round 2. South African Population Research Infrastructure Network.
Maoyi, ML; Khumalo, ML; Herbst, K ; Mutevedzi, T (2023): Access to Sexual and Reproductive Health and Rights Services During COVID-19 dataset : Round 1 and 2. South African Population Research Infrastructure Network.
Disclaimer and copyrights
The user of the data acknowledges that the original collector of the data and the relevant funding agencies bear no responsibility for the data's use or interpretation or inferences based upon it.
This dataset documentation is licensed under a Creative Commons Attribution-Non Commercial 4.0 International License. The dataset is shared in terms of the data-use agreement accepted at the time of data download.
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Molulaqhooa Linda Maoyi | SAPRIN | linda.maoyi@mrc.ac.za | http://saprin.mrc.ac.za/ |
| Kobus Herbst | SAPRIN | kobus.herbst@mrc.ac.za | http://saprin.mrc.ac.za/ |
Metadata production
DDI.SAPRIN.ASRHR2023
| Name | Affiliation | Role |
|---|---|---|
| Molulaqhooa Linda Maoyi | SAPRIN | Documentation of Study and Review of the metadata |
| Mfundo Khumalo | SAPRIN | Documentation of Study and Review of the metadata |
2023-04-23
Metadata version
Version 1 (April 2023)