published_or_final_version / abstract / toc / Paediatrics and Adolescent Medicine / Doctoral / Doctor of Philosophy

Globally, nearly 40% of under-five deaths occur in the first 28 days after birth. Neonatal mortality is concentrated in sub-Saharan Africa and South Asia with an estimated 80% of all neonatal deaths occurring in the two regions. Low quality of care has been associated with poor health outcomes in low-and middle-income countries (LMICs). Low quality of intrapartum care has been shown to be strongly associated with poor newborn outcomes. Improving access to high-quality neonatal care for small and sick newborns is crucial to reducing preventable deaths in the immediate newborn period. Over the last two decades, significant advances have been made in measuring the coverage, quality and equity of maternal health services. However, few studies to-date have explored the quality of care for small and sick newborns in resource-constrained settings. Those studies conducted in low-and middle-income settings demonstrate that in-patient service readiness for small and sick newborns is low. While there have been increasing efforts to develop and standardize metrics for measuring facility readiness for this population, few studies to-date have explored the effective coverage – a term used to denote utilization adjusted for quality – of services for emergency newborn care in such settings. Recommendations for intervention packages for small and sick newborns have largely focused on secondary and tertiary levels of care, leaving the role of community and peripheral facilities under-explored. Central to the agenda of improving the coverage of high-quality services for small and sick newborns is also strengthening the capacity of health workforce that participate in their care. A plethora of training packages and supervision strategies have been tried and tested in LMICs for improving emergency obstetric care with the focus on emergency newborn limited to a few complications. These human resources initiatives have been criticized for being fragmented in implementation. Little is known about the quality of training and supervision for emergency newborn care competencies for the rural health workforce in under-resourced settings. This dissertation is presented in three papers to help evaluate specific components of quality and coverage for the small and sick newborn population in LMICs. Paper one identifies and describes the breadth of strategies used to successfully translate evidence-based community interventions for the management of newborns with possible serious bacterial infections (PSBI), enabling the generation of a common and consistent taxonomy for practitioners and researchers in this domain. Paper two uses quantitative methods to examine the service readiness and effective coverage of services for small and sick newborns at the sub-district and district levels in rural Ghana. Paper three, using a mixed-methods design, assesses health worker perceptions of the quality and gaps in training, supervision and tele-mentoring activities for emergency obstetric and newborn care in rural Ghana.

Thesis (M. A. (Nursing Science)) -- University of Limpopo, 2016. / Perinatal morbidity is a public health indicator of the level of equality in a country. Its prevention has major medical, social and economic costs. The aim of this study was to describe factors contributing to high perinatal morbidity rates in Mankweng-Polokwane Complex of the Capricorn district, Limpopo Province, South Africa. A quantitative, descriptive cross-sectional research method was used to describe factors contributing to high perinatal morbidity. The study population comprised 80 registered midwives. Simple random sampling was used to select the 66 respondents. Data were collected using a self-developed questionnaire. Questionnaires were completed and returned, and only one questionnaire was not returned, and two were spoiled as they were incomplete, then 63 questionnaires were analysed. Ethical clearance was obtained from Medunsa Research and Ethics Committee, Limpopo Province Department of Health Ethics Committee and Hospital management. The Statistical Package for Social Sciences (SPSS, version 22) was used for data analysis. Descriptive statistics were used to analyse and describe and summarise data whereby the findings were presented in the form of distribution tables and graphs. Inferential statistics were used based on probability and allowed judgement to be made about the variables. The study revealed that shortage of staff, absenteeism, resignation, bad staff-patient ratio and overcrowding of patients, long waiting periods for caesarean sections, long waiting period for babies operation, work overload of staff, lack of equipment and supplies, congenital anomalies, perinatal asphyxia, prematurity and neonatal sepsis were contributory factors to high perinatal morbidity rates. The study recommended that all staff should be able to resuscitate newborn babies, be able to use Partograph effectively, further research on factors contributing to high perinatal morbidity and education training on speciality qualifications. Key-words: Factors, High, Perinatal, Morbidity rates

Thesis (MPH.) -- University of Limpopo, 2022 / Background: Stillbirth rates are a health problem and they cause distractions in the families. There are more than 5 million perinatal deaths occurring each year, ending preventable stillbirths and neonatal deaths continues to form a significant part of the international public health agenda beyond 2015. There are several risk factors which are associated with stillbirths and this could be classified as maternal, foetal and external risk factors. Therefore, the focus of the study was on the prevalence and determinants of stillbirths in Dilokong Hospital of the Limpopo Province. Methods: A retrospective descriptive study was conducted which followed a quantitative approach. This study used secondary data from patient clinical records from the maternity ward in Dilokong Hospital. Comparison between groups for continuous and categorical variables was performed using student t-test, and chisquare test, respectively. P-value less than 0.05 at 95% confidence level was regarded as significant. Findings: The prevalence of stillbirth amongst women who delivered at Dilokong hospital between period 2016 and 2019 was 13.5 % (CI: 0.12 – 15.2). The prevalence of stillbirth is stratified by year and it shows that highest prevalence was in 2018 at 42.5% followed by 2017, 2019 and 2016 at 23.2%, 19.7% and 14.6 respectively. The prevalence of stillbirth increased with increasing maternal age from 0.4% in the age group ≤14 years to 26.2% then decreased to 21.5% in the age group 30 – 34 years. The prevalence of macerated stillbirth between period 2016 and 2019 was 11.0%, for fresh stillbirth was 2.6 %. There was significant association of age, marital status of pregnant women, level of education, parity, gravidity, syphilis and HIV status. Older women at age 18 years and above were 1.4 times more likely to have stillbirth and 1.9 times more likely to have fresh stillbirth at p<0.05. Single women were 3.3 times more likely to have stillbirth and 3 times more likely to have macerated stillbirth as compared to married women. Fresh stillbirth was not significantly associated with marital status of pregnant women. Educational level was significantly associated with both stillbirth and macerated stillbirth as those women with no education or having primary educational level were 12.3 times more likely to have stillbirth and 14 times more likely to have macerated stillbirth as compared to women with tertiary educational level. vi Women who had pregnancies that have each resulted in the birth of an infant capable of survival (parity) for four or more times were 2.4 times more likely to have stillbirth and women who were in their fifth or more pregnancies (gravida) were 1.8 times more likely to have stillbirth and 3 times more likely to have fresh stillbirth. Lastly, women who had tested positive for syphilis were 4.1 times more likely to have stillbirth and 3.7 times more likely to have macerated stillbirth and women who were HIV positive were 3.1 times more likely to have stillbirth and 2.3 times more likely to have macerated stillbirth. CONCLUSION: The prevalence of stillbirth was very high in the current study and there is a need for studies on stillbirth and related factors in rural areas of Limpopo Province. This study showed that maternal age, low educational level, marital status of pregnant women, high parity, gravidity, syphilis and HIV status were statistically associated with stillbirth. The factors associated with stillbirth in the current study are preventable if quality focused antenatal care, intrapartum care is provided. Therefore, identification of pregnancy complications and facilitation of proper method of delivery is key to improve quality of care. Efforts to reduce unacceptably high stillbirth in the current study are needed. This study recommends that pregnant mothers need to be educated about the dangers in pregnancy and importance of antenatal visits.

The purpose of this study was to investigate the determinants of high neonatal mortality rates in Migori County, Kenya. The neonatal mortality cases were utilised as the target population to the study. A quantitative, descriptive, cross-sectional, non-experimental research design was used. A systematic sampling technique was employed to draw a sample of 201 archived neonatal cases out of 420 neonatal mortality medical records, which constituted the study population. Data were collected by means of a developed questionnaire. The Statistical Package for Social Sciences (SPSS) Version 21 was used to analyse data. The main findings revealed the leading determinants of neonatal mortality were early neonatal period, prematurity, poor 1st Apgar score, low birth weight and neonates with intrapartum complications. Obstetrical haemorrhage and HIV were the main maternal complications associated to neonatal mortalities, while the leading direct causes of death in this study were birth asphyxia and sepsis. Other determinants were gender, rural residence, lowly educated and informally employed mothers. To reduce mortalities, a multifaceted approach is needed to establish quality improvement in neonatal intensive care, reduce preterm birth incidences, and empower mothers socio-economically. / Health Studies / M.A. (Nursing Science)

Thesis (PhD)--Stellenbosch University, 2014. / ENGLISH ABSTRACT: When estimating the covariance matrices of two or more populations, the covariance matrices are often assumed to be either equal or completely unrelated. The common principal components (CPC) model provides an alternative which is situated between these two extreme assumptions: The assumption is made that the population covariance matrices share the same set of eigenvectors, but have di erent sets of eigenvalues. An important question in the application of the CPC model is to determine whether it is appropriate for the data under consideration. Flury (1988) proposed two methods, based on likelihood estimation, to address this question. However, the assumption of multivariate normality is untenable for many real data sets, making the application of these parametric methods questionable. A number of non-parametric methods, based on bootstrap replications of eigenvectors, is proposed to select an appropriate common eigenvector model for two population covariance matrices. Using simulation experiments, it is shown that the proposed selection methods outperform the existing parametric selection methods. If appropriate, the CPC model can provide covariance matrix estimators that are less biased than when assuming equality of the covariance matrices, and of which the elements have smaller standard errors than the elements of the ordinary unbiased covariance matrix estimators. A regularised covariance matrix estimator under the CPC model is proposed, and Monte Carlo simulation results show that it provides more accurate estimates of the population covariance matrices than the competing covariance matrix estimators. Covariance matrix estimation forms an integral part of many multivariate statistical methods. Applications of the CPC model in discriminant analysis, biplots and regression analysis are investigated. It is shown that, in cases where the CPC model is appropriate, CPC discriminant analysis provides signi cantly smaller misclassi cation error rates than both ordinary quadratic discriminant analysis and linear discriminant analysis. A framework for the comparison of di erent types of biplots for data with distinct groups is developed, and CPC biplots constructed from common eigenvectors are compared to other types of principal component biplots using this framework. A subset of data from the Vermont Oxford Network (VON), of infants admitted to participating neonatal intensive care units in South Africa and Namibia during 2009, is analysed using the CPC model. It is shown that the proposed non-parametric methodology o ers an improvement over the known parametric methods in the analysis of this data set which originated from a non-normally distributed multivariate population. CPC regression is compared to principal component regression and partial least squares regression in the tting of models to predict neonatal mortality and length of stay for infants in the VON data set. The tted regression models, using readily available day-of-admission data, can be used by medical sta and hospital administrators to counsel parents and improve the allocation of medical care resources. Predicted values from these models can also be used in benchmarking exercises to assess the performance of neonatal intensive care units in the Southern African context, as part of larger quality improvement programmes. / AFRIKAANSE OPSOMMING: Wanneer die kovariansiematrikse van twee of meer populasies beraam word, word dikwels aanvaar dat die kovariansiematrikse of gelyk, of heeltemal onverwant is. Die gemeenskaplike hoofkomponente (GHK) model verskaf 'n alternatief wat tussen hierdie twee ekstreme aannames gele e is: Die aanname word gemaak dat die populasie kovariansiematrikse dieselfde versameling eievektore deel, maar verskillende versamelings eiewaardes het. 'n Belangrike vraag in die toepassing van die GHK model is om te bepaal of dit geskik is vir die data wat beskou word. Flury (1988) het twee metodes, gebaseer op aanneemlikheidsberaming, voorgestel om hierdie vraag aan te spreek. Die aanname van meerveranderlike normaliteit is egter ongeldig vir baie werklike datastelle, wat die toepassing van hierdie metodes bevraagteken. 'n Aantal nie-parametriese metodes, gebaseer op skoenlus-herhalings van eievektore, word voorgestel om 'n geskikte gemeenskaplike eievektor model te kies vir twee populasie kovariansiematrikse. Met die gebruik van simulasie eksperimente word aangetoon dat die voorgestelde seleksiemetodes beter vaar as die bestaande parametriese seleksiemetodes. Indien toepaslik, kan die GHK model kovariansiematriks beramers verskaf wat minder sydig is as wanneer aanvaar word dat die kovariansiematrikse gelyk is, en waarvan die elemente kleiner standaardfoute het as die elemente van die gewone onsydige kovariansiematriks beramers. 'n Geregulariseerde kovariansiematriks beramer onder die GHK model word voorgestel, en Monte Carlo simulasie resultate toon dat dit meer akkurate beramings van die populasie kovariansiematrikse verskaf as ander mededingende kovariansiematriks beramers. Kovariansiematriks beraming vorm 'n integrale deel van baie meerveranderlike statistiese metodes. Toepassings van die GHK model in diskriminantanalise, bi-stippings en regressie-analise word ondersoek. Daar word aangetoon dat, in gevalle waar die GHK model toepaslik is, GHK diskriminantanalise betekenisvol kleiner misklassi kasie foutkoerse lewer as beide gewone kwadratiese diskriminantanalise en line^ere diskriminantanalise. 'n Raamwerk vir die vergelyking van verskillende tipes bi-stippings vir data met verskeie groepe word ontwikkel, en word gebruik om GHK bi-stippings gekonstrueer vanaf gemeenskaplike eievektore met ander tipe hoofkomponent bi-stippings te vergelyk. 'n Deelversameling van data vanaf die Vermont Oxford Network (VON), van babas opgeneem in deelnemende neonatale intensiewe sorg eenhede in Suid-Afrika en Namibi e gedurende 2009, word met behulp van die GHK model ontleed. Daar word getoon dat die voorgestelde nie-parametriese metodiek 'n verbetering op die bekende parametriese metodes bied in die ontleding van hierdie datastel wat afkomstig is uit 'n nie-normaal verdeelde meerveranderlike populasie. GHK regressie word vergelyk met hoofkomponent regressie en parsi ele kleinste kwadrate regressie in die passing van modelle om neonatale mortaliteit en lengte van verblyf te voorspel vir babas in die VON datastel. Die gepasde regressiemodelle, wat maklik bekombare dag-van-toelating data gebruik, kan deur mediese personeel en hospitaaladministrateurs gebruik word om ouers te adviseer en die toewysing van mediese sorg hulpbronne te verbeter. Voorspelde waardes vanaf hierdie modelle kan ook gebruik word in normwaarde oefeninge om die prestasie van neonatale intensiewe sorg eenhede in die Suider-Afrikaanse konteks, as deel van groter gehalteverbeteringprogramme, te evalueer.

Background Pregnancy and childbirth are normal physiological processes but the internal and external circumstances in which the child is conceived and born affect the life of the mother and child. Every pregnancy is associated with unpredictable risks and complications. Therefore, having a birth preparedness and complication prevention plan including safe motherhood are paramount to reduce maternal and infant mortality rates. Purpose of the study This study aimed to establish the pregnant women’s knowledge, perceptions and practices regarding birth preparedness planning, complication readiness and safe motherhood at Raleigh Fitkin Memorial Hospital to help reduce some of the avoidable causes of maternal and infant mortality rates. Research design and methods An exploratory, descriptive and qualitative research design was used for the study. Women who had delivered within a period of one week were purposively selected from the research site and interviewed using a structured interview guide until saturation of data. Ethical considerations were adhered to and measures of trustworthiness were applied. Giorgi’s analytic method was used for data analysis. Findings The findings revealed that most participants were not well informed about birth preparedness although some had managed to save for baby requirements and hospital fees. Transportation to the hospital for ANC and delivery was a problem to those who ended up delivering their babies at home or on the way to hospital. Knowledge about complications of birth was poor and only a few participants could name bleeding and prolonged labour. Most participants were not sure about safe motherhood, whilst some mentioned contraception and post-natal care. Conclusion Evidence from the study reveal that as much as pregnant women prepare baby’s clothes and money for labour and delivery, psychological preparation and transport preparation seemed poor. Complication readiness was not known by most participants. / Health Studies / M.A. (Health Sciences)

Du fait de son impact sur la morbidité et la mortalité infantile, ainsi que de ses implications sur la santé à l’âge adulte, le petit poids de naissance constitue un problème majeur de santé publique. Le Burkina Faso, pays sahélien enclavé au cœur de l’Afrique occidentale est classé dans le groupe des pays pauvres très endettés et présente une forte prévalence de petit poids de naissance, imputable dans la majorité des cas au retard de croissance intra-utérine. Le contexte de ce travail, réalisé en milieu rural, se caractérise par une situation socioéconomique précaire se traduisant par un faible niveau des indicateurs de l’état de santé et une faible accessibilité aux services sociaux de base.<p><p>Objectifs, hypothèses<p>Ce travail repose sur les hypothèses que les facteurs socioéconomiques influencent la survenue du petit poids de naissance et que le petit poids de naissance a un impact négatif sur la croissance et la survie au cours de la première année de vie. <p>Ce travail s’est fixé pour objectifs de :<p>•connaître l’importance du petit poids de naissance à terme ;<p>•analyser les déterminants du petit poids de naissance ;<p>•proposer un score pour l’identification des femmes enceintes à risque de mise au monde d’un enfant de petit poids ;<p>•identifier les facteurs influençant la croissance des enfants nés de petit poids ;<p>•étudier l'impact du déficit pondéral à la naissance sur la morbidité et la mortalité infantile ;<p>•formuler des recommandations pour la prévention et la prise en charge du petit poids de naissance en milieu défavorisé dans le but d’orienter les stratégies de réduction de la mortalité infantile.<p><p>Méthodologie<p>Trois types d’études ont été réalisés:<p>•une étude de cohorte rétrospective portant sur 435 enfants dans le but d’explorer les facteurs de risque, la croissance, le statut nutritionnel et la mortalité des enfants nés de petit poids de naissance à terme.<p>•Une étude transversale portant sur 1013 naissances vivantes à terme qui a permis de déterminer la fréquence du petit poids de naissance et d’analyser les facteurs associés qui lui étaient associés.<p>•Une étude de cohorte prospective au cours de laquelle les 1013 enfants enrôlés dans l’étude transversale ont été suivis afin d’analyser leur croissance et leur survie au cours des 12 premiers mois de vie.<p><p>Principaux résultats <p>•Le petit poids de naissance représente 15,8% des naissances à terme. <p>•Le sexe féminin est prédominant chez les enfants de petit poids.<p>•Les facteurs sociodémographiques associés au petit poids de naissance sont essentiellement des caractéristiques sociodémographiques maternelles :le jeune âge de la mère (moins de 20 ans), le faible niveau d’instruction, le mauvais état nutritionnel et la faible accessibilité géographique aux structures de santé.<p>•Les facteurs obstétricaux associés au petit poids sont :la primiparité, la survenue de vomissements gravidiques, l’exécution de travaux champêtres et une charge de travail plus importante en cours de grossesse.<p>•Le score proposé pour l’identification des femmes à risque a un pouvoir de discrimination acceptable et présente une bonne stabilité et une faible marge d’erreur de prédiction.<p>•Indépendamment de la catégorie de poids à la naissance, tous les enfants demeurent en dessous des médianes des courbes de référence internationales pour l’ensemble des indices nutritionnels entre 0 et 12 mois. <p>•Malgré des gains plus importants mais de façon non significative, les enfants de PPN montrent une incapacité à combler leur retard en taille et en poids.<p>•Le PPN est associé à un risque significativement plus élevé de retard de croissance et d’insuffisance pondérale au cours de la première année de vie.<p>•Le petit poids de naissance et la non-complétude de la consultation prénatale étaient associés à un risque deux fois plus important de décès. <p>•L’état nutritionnel à l’âge de 3 mois ainsi qu’à l’âge de 6 mois joue un rôle plus important dans la survie chez les enfants de PPN que chez les enfants nés de poids normal.<p><p> <p>Conclusions<p>Les solutions au problème du petit poids de naissance impliquent un paquet d’interventions intégrant des stratégies avant, pendant et après la grossesse et des programmes de prise en charge ciblant les enfants de petit poids après leur naissance. Il s’agit prioritairement de :<p>•l’information et de la sensibilisation des populations pour un meilleur suivi de la grossesse et une complétude de la consultation prénatale ;<p>•l’adoption de pratiques et d’habitudes en faveur d’une alimentation équilibrée des femmes enceintes ;<p>•un plaidoyer pour un allègement de la charge de travail des femmes enceintes ;<p>•l’utilisation de méthodes opérationnelles pour l’identification des femmes à risque ;<p>•l’amélioration de la qualité des prestations de surveillance de la grossesse ;<p>•la redéfinition du contenu et des protocoles des programmes de suivi et de promotion de la croissance des jeunes enfants avec une attention particulière pour les enfants nés de petit poids ;<p>•la lutte contre certaines pratiques sociales comme les mariages précoces et les grossesses chez les adolescentes et les femmes de moins de 20 ans ;<p>•la promotion de la scolarisation des jeunes filles et l’alphabétisation des mères ;<p>•l’amélioration de l’état nutritionnel de la population ;<p>•la réalisation d’études pour évaluer l’impact de certains déterminants et interventions sur l’incidence du petit poids et le devenir des enfants nés avec un handicap pondéral :rôle de l’infection palustre, interventions nutritionnelles ciblant les enfants de petit poids, apports nutritionnels pendant la grossesse.<p><p>Summary<p><p>Due to its impact on infant morbidity and mortality, and its effects on adult’s health, low birth weight (LBW) is a major issue in the public health sector. Burkina Faso, a Sahelian country land-locked in the heart of West Africa is listed among the heavily indebted poor countries, with a high prevalence of Low Birth Weight, caused in most cases by intra uterine growth retardation. The context of the current study, conducted in urban area, is characterised by a poor socio-economic situation resulting in weak health indicators and difficult access to the basic social services.<p><p>Objectives, assumptions<p><p>The study is based o the assumptions that socio-economic factors have an influence on the occurrence of Low Birth Weight and that Low Birth Weight has a negative impact on growth and survival during the first year of the infant.<p>The study has the following objectives:<p>•To assess the importance of low birth weight a term;<p>•To analyse the determinant factors of low birth weight;<p>•To suggest a classification for the identification of pregnant women at risk of giving birth to low birth weight infants ;<p>•To identify factors which have an impact on the growth of low birth weight children ;<p>•To look at the impact of body weight deficiency at birth on infant morbidity and mortality ;<p>•To give recommendations on the prevention and treatment of low birth weight children from underprivileged background with the aim to orientate strategies for infant mortality reduction.<p><p>Methodology<p>Three types of studies were conducted:<p>•A retrospective cohort study of 435 children aiming at exploring risk factors, growth, nutritional status, and mortality of low birth weight infants in the long run.<p>•A cross-sectional study of 1013 live full-term births, which led to determining the frequency of low birth weight and at analysing associated factors which are linked to low birth weight.<p>•A prospective cohort study during which the 1013 children taken into consideration for the cross-sectional study were followed up so as to analyse their growth and survival all along the first 12 months of their life.<p><p>Main results<p>•Low birth weight represents 15.8% of full-term births.<p>•Female babies are predominant among low birth weight babies.<p>•Socio-demographic factors linked to low birth weight are mainly maternal socio-demographic characteristics: young mother (below 20 years old), low educational level, poor nutritional status and limited geographical access to health infrastructures.<p>•Obstetrical factors linked to low birth weight are the following: primiparity, occurrence of vomiting during pregnancy, field work and a heavier workload during pregnancy.<p>•The suggested classification for the identification of women at risk proves to have an acceptable power of discrimination and shows good stability and limited margin of error for prediction.<p>•Regardless of weight categories at birth, all children remain below medians of international reference curves for all nutritional indicators between 0 and 12 months. <p>•In spite of more important but not significant weight gains, LBW children prove not to be able to catch up on height and weight.<p>•LBW is linked to a significantly higher risk in growth retardation and weight deficiency during the newborn’s first year of life.<p>•LBW and non-complete antenatal visits are linked to a death risk multiplied by two.<p>•The nutritional status at the age of 3 months and 6 months old plays a more important role in the survival in LBW children than in children born with normal weight.<p><p>Conclusions<p>Solutions to LBW imply a package of interventions which should integrate strategies before, during and after pregnancy, together with treatment programmes targeting LBW children after their birth. In priority, these are:<p>•Information and awareness given to population for a better follow-up of pregnancies and complete cycles antenatal visits ;<p>•New practices and habits to be taken on favouring a balanced diet of pregnant women ;<p>•Advocacy actions aiming at reducing the workload of pregnant women ;<p>•The use of operational methods to identify women at risk ;<p>•Improving the quality of monitoring of pregnancy; <p>•Redefined content and procedures of monitoring programs and promoting young children growth, with particular focus on LBW children ;<p>•The fight against some social practices such as early marriages and pregnancies of teenagers and women below 20 years;<p>•The promotion of school education for young girls and literacy for mothers ;<p>•Improving the nutritional status of the population;<p>•The realisation of studies to assess the impact of some determinant factors and interventions on the occurrence of low birth weight and on the future of children born with weight deficiency: role of malaria, nutritional interventions targeting LBW children, nutritional intakes during pregnancy<p> / Doctorat en Sciences médicales / info:eu-repo/semantics/nonPublished