scholarly journals Understanding abortion seeking care outside of formal health care settings in Cape Town, South Africa: a qualitative study

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Jane Harries ◽  
Kristen Daskilewicz ◽  
Tshegofatso Bessenaar ◽  
Caitlin Gerdts

Abstract Background Although abortion was legalized in South Africa in 1996, barriers to safe, legal abortion services remain, and women continue to seek abortions outside of the formal healthcare sector. This study explored the decision-making processes that women undertake when faced with an unintended pregnancy, the sources of information used to make their decisions and the factors that contribute to their seeking of informal sector abortion in Cape Town, South Africa. Methods We conducted 15 semi-structured in-depth interviews in English with women who had accessed an abortion outside of the formal health care sector. Women were recruited with the assistance of a community-based key informant. Data was analyzed using a thematic analysis approach. Results Participants were aware that abortions were legal and accessible in public clinics, however they were concerned that others would find out about their unintended pregnancy and abortion if they went to legal providers. Women were also concerned about judgment and mistreatment from providers during their care. Rather than seek care in the formal sector, women looked past concerns around the safety and effectiveness of informal sector abortions and often relied on their social networks for referrals to informal providers. Conclusions The findings highlight the decision-making processes employed by women when seeking abortion services in a setting where abortion is legal and demonstrate the role of institutional and societal barriers to safe abortion access. Abortion service delivery models should adapt to women’s needs to enhance the preferences and priorities of those seeking abortion care-including those who prefer facility-based care as well as those who might prefer self-managed medical abortions.

Computation ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 25 ◽  
Author(s):  
Abhaya Kumar Sahoo ◽  
Chittaranjan Pradhan ◽  
Rabindra Kumar Barik ◽  
Harishchandra Dubey

In today’s digital world healthcare is one core area of the medical domain. A healthcare system is required to analyze a large amount of patient data which helps to derive insights and assist the prediction of diseases. This system should be intelligent in order to predict a health condition by analyzing a patient’s lifestyle, physical health records and social activities. The health recommender system (HRS) is becoming an important platform for healthcare services. In this context, health intelligent systems have become indispensable tools in decision making processes in the healthcare sector. Their main objective is to ensure the availability of the valuable information at the right time by ensuring information quality, trustworthiness, authentication and privacy concerns. As people use social networks to understand their health condition, so the health recommender system is very important to derive outcomes such as recommending diagnoses, health insurance, clinical pathway-based treatment methods and alternative medicines based on the patient’s health profile. Recent research which targets the utilization of large volumes of medical data while combining multimodal data from disparate sources is discussed which reduces the workload and cost in health care. In the healthcare sector, big data analytics using recommender systems have an important role in terms of decision-making processes with respect to a patient’s health. This paper gives a proposed intelligent HRS using Restricted Boltzmann Machine (RBM)-Convolutional Neural Network (CNN) deep learning method, which provides an insight into how big data analytics can be used for the implementation of an effective health recommender engine, and illustrates an opportunity for the health care industry to transition from a traditional scenario to a more personalized paradigm in a tele-health environment. By considering Root Square Mean Error (RSME) and Mean Absolute Error (MAE) values, the proposed deep learning method (RBM-CNN) presents fewer errors compared to other approaches.


2014 ◽  
Vol 9 (2) ◽  
pp. 187-195 ◽  
Author(s):  
AJ Strydom ◽  
RG Nel

Tour operators have been identified as vital information sources influencing the images and decision-making processes of tourists. Bloemfontein is situated in Central South Africa.  Tourism marketers believe that the city is an ideal stopover destination for national tour operators  en route to other destinations.  Research was conducted among national tour operators in Johannesburg, Durban and Cape Town to determine their perceptions of Bloemfontein and whether they regard the city as a tourist or stopover destination.  The research indicates that the city is not regarded as a tourist destination, but is seen as an ideal stopover destination which could be included in future tour itineraries.  It is currently excluded because operators are unfamiliar with the tourism offering(s) of Bloemfontein due to insufficient marketing by the tourism officials of the city. 


2017 ◽  
Vol 33 (S1) ◽  
pp. 41-42
Author(s):  
Jani Mueller

INTRODUCTION:South Africa is in the process of providing comprehensive health insurance to all its citizens, thus paving the pathway for Health Technology Assessment (HTA) to play a significant role in provision of safe and effective healthcare. The National Department of Health (DoH) has a published framework and Health Technology Act and strategies since the 1990s to improve health outcomes, and service and delivery of care. The purpose of this study is to explore challenges faced in the implementation of the framework and policies.METHODS:The study will be based on review and analysis of health technology policies and legislations introduced in South Africa since the 1990s. These documents are available from the DoH archive. The review from this grey literature was supplemented by information collected from a self-completion questionnaire, which was distributed to key stakeholders. Respondents were identified by direct contact with ministries of health and professional bodies, and included health professionals from the public and private healthcare sector, for example, practitioners, experts from hospitals, and industry representatives. The questionnaire addressed issues pertaining to decision making regarding health service delivery and the status of HTA in the country.RESULTS:The framework lays out the strategy to facilitate appropriate utilization of health technologies and includes among others, an HTA section. Fragmented use of HTA or parts thereof has been observed in the public and private health care sector. Furthermore, the respondents pointed out that decisions on health technology can be political, institutional or professionally driven whereas they all agreed that a formal and institutional implementation of HTA would improve healthcare service.CONCLUSIONS:The goal to achieve universal health care provides an excellent window of opportunity for formal use of HTA in policy- and decision-making. However, (i) the inadequate number of trained professionals and education and training opportunities (ii) lack of awareness and understanding of the principles of HTA and its impact on the improvement of health care are among the many challenges faced by the system. It has also been observed that national and regional champions can act as change agents and would have a snowball effect.


2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Ronel Sewpaul ◽  
Rik Crutzen ◽  
Natisha Dukhi ◽  
Derrick Sekgala ◽  
Priscilla Reddy

Abstract Background Maternal mortality among adolescent mothers in South Africa is higher than many middle-income countries. This is largely attributable to conditions that can be prevented or managed by high quality antenatal care. The way in which pregnant adolescents are treated at antenatal clinics influences their timely utilization of antenatal services. This qualitative study reports on the experiences of pregnant adolescents with health care workers when accessing antenatal care. Methods Pregnant girls aged 13–19 (n = 19) who attended public health care facilities that provide Basic Antenatal Care (BANC) services in Cape Town, South Africa were recruited. Four face to face in-depth interviews and four mini focus group discussions were undertaken, facilitated by a topic guide. Thematic analyses were used to analyse the data. Results Experiences that reinforce antenatal attendance, such as respectful and supportive treatment, were outweighed by negative experiences, such as victimization; discrimination against being pregnant at a young age; experiencing disregard and exclusion; inadequate provision of information about pregnancy, health and childbirth; clinic attendance discouragement; and mental health turmoil. Conclusions There is evidence of a discordant relationship between the health care workers and the pregnant adolescents. Adolescents feel mistreated and discriminated against by the health care workers, which in turn discourages their attendance at antenatal clinics. Maternal health care workers need to receive support and regular training on the provision of youth friendly antenatal care and be regularly evaluated, to promote the provision of fair and high quality antenatal services for adolescent girls.


2011 ◽  
Vol 16 (1) ◽  
Author(s):  
Norah L. Katende-Kyenda ◽  
Martie Lubbe ◽  
Juan H.P. Serfontein ◽  
Ilse Truter

Current antiretroviral treatment (ART) guidelines recommend different combinations that have led to major improvements in the management of HIV and AIDS in the developed and developing world. With the rapid approval of many agents, health care providers may not be able to familiarise themselves with them all. This lack of knowledge leads to increased risk of dose- prescribing errors, especially by non-HIV and AIDS specialists. The purpose of this retrospective non-experimental, quantitative drug utilisation study was to evaluate if antiretrovirals (ARVs) are prescribed according to the recommended prescribed daily doses (PDDs) in a section of the private health care sector in South Africa (SA). Analysed ARV prescriptions (49995, 81096 and 88988) for HIV and AIDS patients were claimed from a national medicine claims database for the period 1 January 2005 through to 31 December 2007. ARV prescriptions prescribed by general practitioners (GPs) with PDDs not according to the recommended ARV dosing increased dramatically, from 12.33% in 2005 to 24.26% in 2007. Those prescribed by specialists (SPs) increased from 15.46% in 2005 to 35.20% in 2006 and decreased to 33.16% in 2007. The highest percentage of ARV prescriptions with PDDs not according to recommended ARV dosing guidelines was identified in ARV regimens with lopinavir−ritonavir at a PDD of 1066.4/264 mg and efavirenz at a PDD of 600 mg prescribed to patients in the age group of Group 3 (19 years > age ≤ 45 years). These regimens were mostly prescribed by GPs rather than SPs. There is a need for more education for all health care professionals and/or providers in the private health care sector in SA on recommended ARV doses, to avoid treatment failures, development of resistance, drug-related adverse effects and drug interactions.OpsommingHuidige riglyne vir behandeling met antiretrovirale middels beveel verskillende kombinasies aan wat tot groot verbetering in die beheer van MIV en VIGS in die ontwikkelde en ontwikkelende wêreld gelei het. Met die vinnige goedkeuring van talle nuwe middels kan dit gebeur dat verskaffers van gesondheidsorg nie kan bybly om hulle hiermee op hoogte te hou nie. Hierdie gebrek aan kennis lei tot ‘n hoër risiko vir foute in die voorgeskrewe dosis en veral deur persone wat nie spesialiste in MIV en VIGS is nie. Die doel van hierdie nie-eksperimentele, retrospektiewe, kwantitatiewe studie van die gebruik van geneesmiddels was om te bepaal of antiretrovirale middels in ‘n deel van die privaat gesondheidsorgsektor in Suid-Afrika (SA) volgens die aanbevole voorgeskrewe daaglikse dosisse (VDD) voorgeskryf word. Voorskrifte van antiretrovirale middels (49995, 81096 en 88988) aan pasiënte met MIV en VIGS wat in die periode van 1 Januarie 2005 tot 31 Desember 2007 van ‘n nasionale medisyne databasis geëis is, is ontleed. Voorskrifte van antiretrovirale middels deur algemene praktisyns (APs) met VDDs wat nie volgens die aanbevole dosisse vir antiretrovirale middels was nie, het dramaties van 12.33% in 2005 tot 24.26% in 2007 toegeneem. Die wat deur spesialiste (SPs) voorgeskryf is, het van 15.46% in 2005 tot 35.20% in 2006 toegeneem en in 2007 tot 33.16% gedaal. Die hoogste persentasie van voorskrifte vir antiretrovirale middels met VDDs wat nie volgens die riglyne was nie, was in die regimens met lopinavir−ritonavir met ‘n VDD van 1066.4/264 mg en efavirens met ‘n VDD van 600 mg wat aan pasiënte in die ouderdomsgroep van ouer as 19 tot en met 45 jaar voorgeskryf is. Hierdie regimens is meer deur APs as deur SPs voorgeskryf. Daar is ‘n behoefte aan nog opleiding van alle gesondheidsprofessies en/of voersieners in die privaat gesondheidsorgsektor in SA oor die aanbevole antiretrovirale middel-dosisse om mislukking van behandeling, ontwikkeling van weerstand, nadelige effekte vanweë geneesmiddels en geneesmiddel interaksies te voorkom.


Water Policy ◽  
2017 ◽  
Vol 20 (1) ◽  
pp. 77-89
Author(s):  
Charles Mpofu ◽  
Thabiso John Morodi ◽  
Johan Petrus Hattingh

Abstract The water resources in South Africa are threatened by current and past mining practices such as abandoned and closed mines. While mining is considered valuable for its contribution to this country's gross domestic product, its polluting effects on water and land resources have been criticised as unsustainable. Acid mine drainage (AMD) is one specific public health and ecological issue that has stirred debates in political and social circles in this country. This paper examines the scalar politics and other related dimensions of water and AMD governance, thereby revealing evidence of deep-rooted challenges regarding the governance of water and mineral resources. The specific focus is on the socio-political context of labour laws and Black Economic Empowerment and the decision-making processes adopted by government. Thus, this paper has implications for the improvement of environmental governance and decision-making strategies and the adoption of a national strategy for adequately addressing AMD and related policy issues.


2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Oluwaseyi Dolapo Somefun ◽  
Jane Harries ◽  
Deborah Constant

Abstract Background South Africa has a liberal abortion law, yet denial of care is not uncommon, usually due to a woman being beyond the legal gestational age limit for abortion care at that facility. For women successfully obtaining care, time from last menstrual period to confirmation of pregnancy is significantly longer among those having an abortion later in the second trimester compared to earlier gestations. This study explores women’s experiences with recognition and confirmation of unintended pregnancy, their understanding of fertile periods within the menstrual cycle as well as healthcare providers’ and policy makers’ ideas for public sector strategies to facilitate prompt confirmation of pregnancy. Methods We recruited participants from July through September 2017, at an urban non-governmental organization (NGO) sexual and reproductive health (SRH) facility and two public sector hospitals, all providing abortion care into the second trimester. We conducted in-depth interviews and group discussions with 40 women to elicit information regarding pregnancy recognition and confirmation as well as fertility awareness. In addition, 5 providers at these same facilities and 2 provincial policy makers were interviewed. Data were analysed using thematic analysis. Results Uncertainties regarding pregnancy signs and symptoms greatly impacted on recognition of pregnancy status. Women often mentioned that others, including family, friends, partners or colleagues noticed pregnancy signs and prompted them to take action. Several women were unaware of the fertility window and earliest timing for accurate pregnancy testing. Health care providers and policy makers called for strategies to raise awareness regarding risk and signs of pregnancy and for pregnancy tests to be made more readily accessible. Conclusion Early recognition of unintended pregnancy in this setting is frustrated by poor understanding and awareness of fertility and pregnancy signs and symptoms, compounded by a distrust of commercially available pregnancy tests. Improving community awareness around risk and early signs of pregnancy and having free tests readily available may help women confirm their pregnancy status promptly.


2021 ◽  
Author(s):  
Fabian Kovacs ◽  
Max Thonagel ◽  
Marion Ludwig ◽  
Alexander Albrecht ◽  
Manuel Hegner ◽  
...  

BACKGROUND Big data in healthcare must be exploited to achieve a substantial increase in efficiency and competitiveness. Especially the analysis of patient-related data possesses huge potential to improve decision-making processes. However, most analytical approaches used today are highly time- and resource-consuming. OBJECTIVE The presented software solution Conquery is an open-source software tool providing advanced, but intuitive data analysis without the need for specialized statistical training. Conquery aims to simplify big data analysis for novice database users in the medical sector. METHODS Conquery is a document-oriented distributed timeseries database and analysis platform. Its main application is the analysis of per-person medical records by non-technical medical professionals. Complex analyses are realized in the Conquery frontend by dragging tree nodes into the query editor. Queries are evaluated by a bespoke distributed query-engine for medical records in a column-oriented fashion. We present a custom compression scheme to facilitate low response times that uses online calculated as well as precomputed metadata and data statistics. RESULTS Conquery allows for easy navigation through the hierarchy and enables complex study cohort construction whilst reducing the demand on time and resources. The UI of Conquery and a query output is exemplified by the construction of a relevant clinical cohort. CONCLUSIONS Conquery is an efficient and intuitive open-source software for performant and secure data analysis and aims at supporting decision-making processes in the healthcare sector.


2011 ◽  
pp. 1759-1769
Author(s):  
Janna Anneke Fitzgerald ◽  
Martin Lum ◽  
Ann Dadich

Human technology in health care includes managerial knowledge required to marshal a health care workforce, operate hospitals and equipment, obtain and administer funds, and, increasingly, identify and establish markets. In this article, the authors focus on human technology and improvement of decision-making processes in the context of operating theatre scheduling of unplanned surgical cases. Unplanned surgery refers to unscheduled and unexpected surgical procedures in distinction to planned, elective surgery. The management of unplanned surgery is a strategic function in hospitals with potential clinical, administrative, economical, social, and political implications. Making health care management decisions is complex due to the multidisciplinary and the multifocussed nature of decision-making processes. The complexity of multidisciplinary and multifocussed decision-making is further exacerbated by perceived professional identity differences. This article presents findings from interviews with doctors and nurses about the scheduling of unplanned surgical cases. The interviews focused on current decision- making determinants, the acceptability of using a model to guide decision-making, and enablers and barriers to implementing the model. The key finding was the limited practicality of a model to guide the scheduling of unplanned surgery. While it could guide decisions around clinical determinants, logistical determinants, and ideal timeframes, it would have difficulty reshaping inter- and intra-professional dynamics.


Sign in / Sign up

Export Citation Format

Share Document