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Background: Globally, mothers have identified work as one of the main obstacles to exclusive and continued breastfeeding. The support a woman receives in her workplace in terms of workplace arrangements can be critical to enable women to continue breastfeeding. This study aimed to develop and assess the face validity of a practice model to support exclusive and continued breastfeeding in workplaces in the Western Cape, South Africa. Methods: An explanatory, sequential, mixed-method research design, was conducted (June 2017 to March 2019) in three distinct phases. Phase one employed a quantitative, descriptive, cross-sectional study design. Phase 2 used a qualitative, multiple case study. Phase three involved the development and face validity of a practice model to support exclusive breastfeeding in workplaces. The face validity included two Delphi rounds for experts to provide input on the draft practice model. This paper will only report on phase 3 of the study. The practice model was developed, drawing on the analysis of data from phases one and two and using programme theory approaches and a logic model. Results: The practice model was positively perceived. Participants viewed it as informative, well designed and easy to follow, even for those not knowledgeable about the subject. It was viewed as an ideal tool, if accompanied by some training. Participants were positive that the model would be feasible and most commended the tiered approach to implementation. They felt that workplaces would be more open to a step-by-step approach to implementation and if only a few activities are implemented it would be a start to make the work environment more conducive for breastfeeding employees. There were mixed opinions regarding commitment; a few participants mentioned commitment as a challenge they anticipated in the male-dominant environments in which they worked. The provision of space for breastfeeding at the workplace was also highlighted as a potential challenge. Conclusions: Advocacy around creating an enabling workplace environment for breastfeeding is needed. The practice model has the potential to be internationally relevant, locally applied and may be of particular use to workplaces that want to initiate and/or strengthen breastfeeding support. [ABSTRACT FROM AUTHOR]

Improving the practice environment, quality of care and patient safety are global health priorities. In South Africa, quality of care and patient safety are among the top goals of the National Department of Health; nevertheless, empirical data regarding the condition of the nursing practice environment, quality of care and patient safety in public hospitals is lacking. Aim This study examined nurses' perceptions of the practice environment, quality of care and patient safety across four hospital levels (central, tertiary, provincial and district) within the public health sector of South Africa. Methods This was a cross-sectional survey design. We used multi-phase sampling to recruit all categories of nursing staff from central (n = 408), tertiary (n = 254), provincial (n = 401) and district (n = 244 [large n = 81; medium n = 83 and small n = 80]) public hospitals in all nine provinces of South Africa. After ethical approval, a self-reported questionnaire with subscales on the practice environment, quality of care and patient safety was administered. Data was collected from April 2021 to June 2022, with a response rate of 43.1%. ANOVA type Hierarchical Linear Modelling (HLM) was used to present the differences in nurses' perceptions across four hospital levels. Results Nurses rated the overall practice environment as poor (M = 2.46; SD = 0.65), especially with regard to the subscales of nurse participation in hospital affairs (M = 2.22; SD = 0.76), staffing and resource adequacy (M = 2.23; SD = 0.80), and nurse leadership, management, and support of nurses (M = 2.39; SD = 0.81). One-fifth (19.59%; n = 248) of nurses rated the overall grade of patient safety in their units as poor or failing, and more than one third (38.45%; n = 486) reported that the quality of care delivered to patient was fair or poor. Statistical and practical significant results indicated that central hospitals most often presented more positive perceptions of the practice environment, quality of care and patient safety, while small district hospitals often presented the most negative. The practice environment was most highly correlated with quality of care and patient safety outcomes. Conclusion There is a need to strengthen compliance with existing policies that enhance quality of care and patient safety. This includes the need to create positive practice environments in all public hospitals, but with an increased focus on smaller hospital settings. [ABSTRACT FROM AUTHOR]

Achieving accurate estimations of recoverable tonnage relies on a robust geological modelling process. To ensure this accuracy, it is crucial to incorporate information from exploration, grade control, and sampling, considering well-identified mineralization controls. However, modelling the geology of complex orebodies, especially veins, poses challenges due to their intricate mineral accumulation processes and variable structural complexities. Fairview Mine's Main Reef Complex (MRC) reef is highly discontinuous, with most of the valuable mineralized zone concentrated within localized ore shoots that intersect various lithologies, exemplifying these challenges. This study aimed to improve the modelling of veins at the mine, striving for a more accurate representation of the mineralization zones. To achieve this, a hybrid approach was employed, combining a deterministic method based on minimum curvature interpolation with a probabilistic method using anisotropic inverse distance weighting for categorical/discrete variables. The subsequent tonnage estimates showed a robust correlation with actual production output. The initial deterministic model established the large-scale geological trend, providing a foundation for estimating a probabilistic model. The iterative nature of probabilistic modelling allowed for the analysis of various probable options, facilitating the selection of the model that best captured the underlying geology. This approach enabled robust mathematical modelling while incorporating valuable input from geological knowledge and expectations. [ABSTRACT FROM AUTHOR]