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MIMMS Community level qualitative data: Traditional birth attendants (TBA) 2014-15 - Seven provinces in South Africa

Version
1.0
Resource Type
Dataset
Creator
  • Ncayiyana, Daniel James
  • Maluleke, Xavela Thelmah
  • Hongoro, Charles
  • Labadarios, Demetre
  • Human Sciences Research Council
Publication Date
2018-01-01
Embargo End Date
2018-03-01
Contributor
  • Human Sciences Research Council (Producer)
Funding Reference
  • National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention
  • U.S. Department of Health and Human Services
  • US Centers for Disease Control and Prevention
  • United States President's Emergency Plan for Aids Relief
Free Keywords
Schema: UK DATA ARCHIVE - HASSET
CHILD MORBIDITY AND MORTALITY; CIVIL REGISTRATION AND VITAL STATISTIC SYSTEMS; GAP ANALYSIS; MATERNAL AND CHILD SURVEILLANCE; MATERNAL MORBIDITY AND MORTALITY
Description
  • Abstract

    Description: The data set consists of 15 transcripts of interviews with traditional birth attendants. All nine provinces were included in the study sample, however, no data were collected for TBAs in Eastern Cape and KwaZulu Natal, urban or rural, Limpopo, urban, North West rural, or Western Cape urban, as TBAs’ practice is not encouraged in many communities and finding willing participants was thus a challenge.

    Abstract: This project was conceived to investigate the functionality of the South African civil registration and vital statistics system, and to identify those shortcomings that undermine its effectiveness and accuracy in the surveillance of birth and death statistics relative to expectant mother, infants and children. Through a Gap analysis the challenges, bottlenecks and short circuits (the 'gaps') within the surveillance system that serve to compromise the efficiency and effectiveness of the system were identified. The project's aim was to strengthen the existing surveillance strategies for monitoring maternal and child morbidity and mortality in South Africa. The objectives of the project were the following: assess the current surveillance system and strategies for monitoring maternal and child morbidity and mortality in order to identify gaps and challenges within the system; and to describe the availability and performance of maternal, obstetric and infant health care services. The gap analysis included gathering information related to the functioning, challenges and efficiency of the surveillance system at all levels including communities and assessment of the availability and performance of the Civil Registration and Vital Statistics system (CRVS) and maternal and child health (MCH) services. All nine provinces of South Africa were included in the gap analysis. A total of eighteen (18) districts, one urban and one rural per province participated in the gap analysis. The target population included Department of Home Affairs and Department of Health officials working in different components of the CRVS system and MCH respectively at community, facility, district, provincial and national level. It also included all community leaders (these included traditional leaders, community leaders and farm owner/representative), Traditional Birth Attendants (TBAs), community health workers and pregnant women.

Temporal Coverage
  • 2014 / 2014
Geographic Coverage
  • South Africa (ZA)
Sampled Universe
TBAs (women assisting/who have assisted other women during childbirth) who work or live in the participating communities and were present at the time of the study and have agreed to participate and signed the consent form.
Sampling
Sampling Different sampling methods were used to select districts and participants for the different components of the project. The sampling methods used are discussed below. Sampling of the districts A total of 18 districts (9 rural and 9 urban) were selected. From each province one urban and one rural district were selected to be included in the surveillance. Convenient sampling approach was used to ensure that the selected urban district is the district that hosts the provincial offices and rural district to be the one furthest from the provincial capital. Within each district the following were included in the sample: villages, Department of Home Affairs (DHA) offices (district and local office), urban and informal areas. In total, 18 rural communities (9 rural villages and 9 farms); 18 rural district (local) DHA offices; 18 urban settlement (9 formal & 9 informal); 18 urban district (local) DHA offices were selected. These selected areas formed part of the gap analysis conducted at community level. Convenient sampling approach was used to ensure that the selected DHA offices within the sampled districts were servicing the selected village, farm, informal settlement and formal settlement in that particular district. The sampled villages formed part of the catchment area of the selected health facilities. That is, the health facilities of focus were treated together with their catchment areas as communities. Detailed sampling approaches used to select participants are discussed below. Sampling for the discussions with TBAs or women who assisted other women during childbirth As TBAs practice is not encouraged in many communities, finding TBAs who were willing to participate in the discussion was a challenge. Furthermore, these individuals are rarely explicitly identified as TBAs but women who assisted other women during birth. A snowballing sampling technique was used to sample TBAs since they are not easily identifiable in the community. Traditional leaders, farmers/farm caretakers and community leader were also instrumental in identifying TBAs and organizing meetings with them. All identified TBAs participated in the discussions on CRVS and MCH services in their respective communities.
Time Dimension
  • Other
    Other, Data on CRVS and maternal and child health services at community level were collected from the traditional leaders, farmers/farm caretakers, community leaders, traditional birth attendants or women assisting other women during childbirth, pregnant women and community health workers (CHWs) of participating areas on the registration of birth and deaths and current surveillance system. At community level, one-on-one and/or group discussions were conducted with traditional leaders, farmers/farm caretakers, community leaders, TBAs or women assisting other women during childbirth, pregnant women and CHWs to identify gaps and challenges in the registration of births and deaths and to determine community practices that contribute to the gaps in the current surveillance system. Inputs on the availability and performance of maternal, obstetric and infant health care services at community level were also sought. These were conducted from May to July 2014. The tools used were adapted from the Family Care International - Skilled Care Initiative tools for qualitative research (Family Care International & JHPIEGO, 2004).
Collection Mode
  • Digital audio recording
  • Face-to-face interview
  • Focus group
  • Self-completion
Availability
Download
Rights
By accessing the data, you give assurance that The data and documentation will not be duplicated, redistributed or sold without prior approval from the rights holder. The data will be used for scientific research or educational purposes only. The data will only be used for the specified purpose. If it is used for another purpose the additional purpose will be registered. Redundant data files will be destroyed. The confidentiality of individuals/organisations in the data will be preserved at all times. No attempt will be made to obtain or derive information from the data to identify individuals/organisations. The HSRC will be acknowledged in all published and unpublished works based on the data according to the provided citation. The HSRC will be informed of any books, articles, conference papers, theses, dissertations, reports or other publications resulting from work based in whole or in part on the data and documentation. For archiving and bibliographic purposes an electronic copy of all reports and publications based on the requested data will be sent to the HSRC. To offer for deposit into the HSRC Data Collection any new data sets which have been derived from or which have been created by the combination of the data supplied with other data. The data team bears no responsibility for use of the data or for interpretations or inferences based upon such uses. Failure to comply with the End User License may result in sanctions being imposed.
Other

Update Metadata: 2019-12-12 | Issue Number: 580 | Registration Date: 2018-03-15

Ncayiyana, Daniel James; Maluleke, Xavela Thelmah; Hongoro, Charles; Labadarios, Demetre; Human Sciences Research Council (2018): MIMMS Community level qualitative data: Traditional birth attendants (TBA) 2014-15 - Seven provinces in South Africa. Version: 1.0. HSRC - Human Science Research Council SA. Dataset. https://doi.org/10.14749/1483607053