There is a high prevalence of gestational diabetes (GD) in South Africa, which is continually growing. South African women with GD are not effectively managed or educated about selfcare, do not self-monitor frequently enough and, therefore, often succumb to various GD induced complications. The ineffective management of GD is largely due to financial and time constraints caused by the regularly required outpatient services. On the other hand, healthcare professionals do not monitor their patients frequently enough because of accessibility issues, which means they cannot intervene timeously to prevent diabetes complications. The aim of this project was to develop a mobile health (mHealth) platform for GD self-management and for remote monitoring to improve the GD cycle of care in South Africa. The objectives were to assess the current GD management practices in South Africa, to assess the existing mHealth solutions for GD and to design, develop and test a GD mHealth platform. The existing GD management practices and current GD mHealth solutions were investigated. The results of the investigation informed the design of low-fidelity and high-fidelity mock-ups of the platform. The high-fidelity mock-up underwent usability testing and the insights gained were used to develop a working prototype of the new mHealth platform, which was then ready for in-lab testing. It was found that GD had a prevalence of up to 25% in parts of South Africa. Over 70% of patients in both private and public healthcare sectors did not meet their diabetic goals, which directly correlated with diabetes induced complications. However, previous research found that using mHealth as an intervention caused a statistically significant decrease of 0.38 mmol/L (95% confidence interval (CI) 0.52 mmol/L to 0.23 mmol/L) in overall blood glucose levels during pregnancy when compared to a control group. There was a higher probability of vaginal deliveries in the intervention group than in the control group (risk ratio = 1.18). It was less likely for new-borns from the intervention group to be diagnosed with hypoglycaemia than new-borns from the control group (risk ratio = 0.67). Based on the research and usability studies conducted, an alpha version of the GD mHealth platform was developed, including a mobile app used to track the patient’s blood glucose levels via a Bluetooth-enabled glucose meter. The food intake, exercise and weight gain during pregnancy were manually captured by the patient. The app reminded the patient to take medication, measure glucose levels and attend appointments. A GD educational component was available for the patient throughout the pregnancy. The platform included a web app which allowed healthcare professionals to remotely monitor and communicate with their patients so that they could analyse trends in the data and intervene when necessary. The testing done on the prototype resulted in positive feedback with 60% of participants saying that they would use the GooDMoM mobile app to manage their GD and 70% of participants saying that they would use the GooDMoM web app to manage their patients with GD. This put the platform in a good position for beta development. The solution has the potential to benefit patients both financially and timewise, by reducing the frequency of hospital visits required. It also has the potential to positively impact the healthcare professionals by reducing the tediousness of their workload and allowing for remote monitoring of patients. The platform can, thus, optimise the GD management process in South Africa and worldwide.

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Over 220 million people worldwide are diagnosed with diabetes and rising prevalence is reported in nearly all surveyed populations. Accordingly, the percentage of pregnancies affected by pre-existing type 1 or 2 diabetes or by diabetes that develops during pregnancy, called gestational diabetes mellitus (GDM), is also on the rise. Today, approximately 8% of all pregnancies are complicated by diabetes. Diabetes alters drug disposition mechanisms in non-pregnant subjects but the impact of diabetes on drug disposition in pregnancy has not been properly evaluated. Atypical drug disposition in pregnancy has implications for maternal and fetal health. Because liver tissue from pregnant women is not readily available, this thesis investigated drug disposition mechanisms primarily in a rat model of experimental GDM. This model consisted of administering streptozotocin, a diabetogenic toxin, to pregnant rats on gestational day 6. One key finding was that elevated circulating lipids in GDM rats competed with drugs (e.g., glyburide and saquinavir) for plasma protein binding so as to increase free drug concentrations. Another key finding was that important hepatic drug efflux transporters (e.g., Mdr1a/b) and metabolic enzymes (e.g., Cyp3a2 and Ugt1a1) were upregulated in GDM as a consequence of, most likely, enhanced nuclear receptor activity (e.g., pregnane X receptor upregulation). Upregulation of hepatic drug efflux transporters and metabolic enzymes, coupled with larger unbound drug fractions, would be expected to increase the hepatic clearance of many drugs. Consistent with this, in GDM, maternal and fetal exposure to the Mdr1 and Cyp3a2 substrate lopinavir was substantially lower than controls post-administration and data supporting enhanced lopinavir metabolite formation were obtained. Placental drug efflux transporters were also examined in this lopinavir study. Elevated placental Mdr1b and Bcrp expression was observed in GDM, which was associated with decreased fetal exposure to lopinavir (even after correcting for maternal unbound concentrations). Taken together, this thesis demonstrates that experimental GDM can significantly impact drug disposition by altering key drug disposition mechanisms. If confirmed in humans, this drug-disease interaction would need to be considered when atypical therapeutic outcomes occur in diabetic pregnancies. Data from experiments with human placentas, obtained from pregnancies complicated by insulin-managed diabetes, is included/discussed.

Over 220 million people worldwide are diagnosed with diabetes and rising prevalence is reported in nearly all surveyed populations. Accordingly, the percentage of pregnancies affected by pre-existing type 1 or 2 diabetes or by diabetes that develops during pregnancy, called gestational diabetes mellitus (GDM), is also on the rise. Today, approximately 8% of all pregnancies are complicated by diabetes. Diabetes alters drug disposition mechanisms in non-pregnant subjects but the impact of diabetes on drug disposition in pregnancy has not been properly evaluated. Atypical drug disposition in pregnancy has implications for maternal and fetal health. Because liver tissue from pregnant women is not readily available, this thesis investigated drug disposition mechanisms primarily in a rat model of experimental GDM. This model consisted of administering streptozotocin, a diabetogenic toxin, to pregnant rats on gestational day 6. One key finding was that elevated circulating lipids in GDM rats competed with drugs (e.g., glyburide and saquinavir) for plasma protein binding so as to increase free drug concentrations. Another key finding was that important hepatic drug efflux transporters (e.g., Mdr1a/b) and metabolic enzymes (e.g., Cyp3a2 and Ugt1a1) were upregulated in GDM as a consequence of, most likely, enhanced nuclear receptor activity (e.g., pregnane X receptor upregulation). Upregulation of hepatic drug efflux transporters and metabolic enzymes, coupled with larger unbound drug fractions, would be expected to increase the hepatic clearance of many drugs. Consistent with this, in GDM, maternal and fetal exposure to the Mdr1 and Cyp3a2 substrate lopinavir was substantially lower than controls post-administration and data supporting enhanced lopinavir metabolite formation were obtained. Placental drug efflux transporters were also examined in this lopinavir study. Elevated placental Mdr1b and Bcrp expression was observed in GDM, which was associated with decreased fetal exposure to lopinavir (even after correcting for maternal unbound concentrations). Taken together, this thesis demonstrates that experimental GDM can significantly impact drug disposition by altering key drug disposition mechanisms. If confirmed in humans, this drug-disease interaction would need to be considered when atypical therapeutic outcomes occur in diabetic pregnancies. Data from experiments with human placentas, obtained from pregnancies complicated by insulin-managed diabetes, is included/discussed.

Regression problems in which predictors are measured with error have been studied by statisticians and researchers for many years. Measurement error in predictors creates biases in estimated regression coefficients, and hence models that address this are extremely important. These models are especially important in perinatal research since errors in gestational age can have serious effects. / The presence of measurement error in gestational age can lead to poor estimation of fetal growth and risk of mortality and morbidity, and can compromise statistical analyses [32, 39]. Since various obstetric choices are made based on birth weight distributions by gestational age, it is important to obtain plausible birthweight-gestational-age combinations. / Berry et al. [3] propose a Bayesian approach to modeling a flexible regression function in the presence of measurement error, where the regression function is modeled using smoothing splines and regression P-splines. These methods are applied to population-based data from U.S. birth certificates, which results in realistic birthweight-gestational age combinations.

Gestational Diabetes (GDM) is considered a high-risk pregnancy. Nutrition management plays a critical role in GDM management. How women with GDM make food choice decisions and how they follow dietary advice have not been fully investigated especially how stress and anxiety during a GDM pregnancy influence dietary management. This study used a mixed methods approach. Qualitative and quantitative data were collected concurrently and analysed together to answer research questions on factors that affected women with GDM at 26-38 gestational weeks in making food choice decisions, the stress and anxiety that they experienced, and the barriers that they encountered when following dietary advice. The results showed: 1. Despite of the dietary recommendations from the healthcare professionals, food choice decisions were still strongly influenced by individual factors such as personal food preference, cravings, and hunger. Women sought information from different sources to adapt to the dietary changes, especially when the health services information provided was too general, and when some of the dietary advice conflicted with their eating habits. Difficulties in dealing with cravings, food portion size, hunger, and eating out led to a sense of decreased control and to stress and frustration. 2. The GDM diagnosis triggered stress in some women. Women who were on insulin were more likely to experience dietary management related stress compared to the ones on diet treatment only. Anxiety was explained as the fear of the macrosomia and labor complications. These kinds of fear could be aggravated by abnormal blood glucose readings and hence triggered some emotional breakdown and coping actions. 3. Underlying beliefs such as behavioural, normative, and self-efficacy beliefs can produce barriers to following dietary advice. Other factors such as environmental constraints and lack of knowledge added more challenges to following dietary advice. Quick adaptation to dietary management in a short time period was not easy for women with first time diagnosed GDM and created emotional distress, often leading to unhealthy dietary coping strategies. The above results concluded that women with first time diagnosed GDM faced challenges of quick adaptation of dietary behavioral changes in a limited time frame. These challenges were rooted in the expected health behavior changes that are often in conflict with the individual’s behavioral, normative, and self-efficacy beliefs. Stress and anxiety generated in the process of GDM management sometimes led to altered dietary behaviors to cope with blood glucose control.

Diss. (sammanfattning) Uppsala : Univ., 2003. / Härtill 5 uppsatser.

A research report submitted to the Faculty of Health Sciences in partial fulfilment of the requirements for the degree of Master in Family Medicine Department of Family Medicine University of the Witwatersrand, Johannesburg, 2017. / Background Research has shown that women who do not obtain adequate prenatal care significantly reduce their chances of a favourable pregnancy outcome. Despite antenatal care services being provided free of charge in South Africa, only 53.9% of women attend antenatal care before the gestational age of 20 weeks or less as recommended by the World Health Organisation (WHO) and National Department of Health (NDOH).The interventions aimed at reducing unfavourable pregnancy outcomes are most effective during prenatal care, it is crucial to identify factors that prevent pregnant mothers from presenting early. It is believed that the findings of this study will give us an insight into the rate of early ANC attendance and will also be useful to policymakers and facility managers, especially at the Primary Health Care (PHC) level, in optimising patient care and improving healthcare services. Aims and objectives Therefore, the objectives of this study were: 1 To establish the gestational age at which pregnant women present to first antenatal visit in Maquassi Hills sub district. 2 To describe participants’ socio-demographic profile, health status and obstetrical characteristics 3 To explore knowledge and attitudes that affect timing of first presentation. 4 To determine any association between first ANC presentation and socio-demographic, obstetric factors, knowledge and attitudes towards ANC. 5 To determine predictors for first antenatal attendance. Method This was a cross-sectional study conducted in four publicly funded primary health facilities in the Maquassi Hills sub district, between August and October 2015. A total of 127 participants were directly interviewed using a structured questionnaire to obtain information about their socio-economic characteristics, ANC and services rendered. Most of the information required for the study was obtained from the Maternity booklet. This included demographic data, obstetric history, medical history, and gestational age. Data analysis was done using Microsoft Excel 2014. A chi-square test was used to determine associations between time of the first presentation and each variable; and a multiple variable regression was used to determine predictors of early attendance. Results Most participants interviewed were: Tswana speaking (72.4%), with a mean age of 26.5 years (SD = 5.9), had a high school education (84.6%) and were mostly single (70.6%). This study showed that 68.9% of the respondents presented to their first antenatal booking within the recommended time of less than 20 weeks. The average period of presentation was 16.3 weeks (SD = 6.0). No statistically significant association was found between socio- demographic, obstetrical characteristics and the timing of the first antenatal visit. All the participants knew that the right time to book an appointment was before 20 weeks as the best perceived time for initiation of ANC. However, there was a statistically significant difference in the best perceived time between those who booked early (2 months [1.99 months (SD =1.145)]) compared with those who booked later (3 months [2.83months (SD = 1.595)]) (p = 0.006). The multivariate analysis showed that participants who perceived three months as the best time for booking were 1.5 times more likely to book later (OR= 1.589, 95% CI 1.227-2.059) compared with those who perceived that the best time was at two months. The most frequent reason given for booking early was to confirm pregnancy (64.0%) and (31.1%) initiated ANC because they were ill. Long waiting times and staff attitude were reported by participants (91.3%) and (5%) respectively as barriers to early ANC visit. Conclusion The findings of this study show that most participants booked antenatal care timely and all participants knew the right time to initiate ANC. However, there is incongruity between knowledge and practice for the 30% who presented late. This could be attributed to the long waiting time and staff attitude mentioned by some of the participants. There is a need therefore to address the demotivating factors such as long waiting time, and staff attitude in order to promote early ANC booking/attendance. / LG2018

Research about gestational surrogacy is limited from the surrogate’s perspective, yet third party reproduction is on the rise worldwide, and specifically in Canada. The experiences, relationships, and meanings of Canadian surrogate mothers are the focus of this research. Eight women’s narratives are studied to better understand the process of their gestational surrogacy experience. The purpose of this study was to learn more about surrogacy by paying attention to how surrogate mothers story/narrate their experiences. The good surrogate discourse, which influences meaning making, was uncovered when analyzing how surrogate mothers narrate their experience within gestational surrogacy positions, roles, and procedures. Further analysis focused on discourses of motherhood, gender, biomedical practice, fertility, ethics, and legislation which actively shape the stories that can be told, and limit the identities that are available. Similarly, these discourses influence relationships as surrogates monitor their need for connection with the surrogate child. Professionals in the field of child and youth care (CYC) including family practitioners, counsellors, and anyone working with children, youth, and families need to be mindful of their practice if third party reproduction is an issue as counselling support for grief and loss may be necessary. / Graduate