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The study aimed to investigate factors influencing the intention to adopt e-health tools for accessing digital mental health services among university staff at a selected South African higher education institution. A quantitative case study was conducted at a single university in Cape Town, South Africa. Data was collected from 348 respondents using online questionnaires and analysed using descriptive statistics and multiple regression. The results revealed that stable internet access at home did not significantly influence the intention to adopt e-health tools (p =0.698, ? = -0.020), but concerns about internet costs were a barrier (p = 0.011, ? = 0.131). University staff who used multiple devices (p = 0.014, ? = 0.136) and preferred e-health tools over traditional face-to-face services were more likely to adopt them (p < 0.001, ? = 0.319). Moreover, social media usage (p < 0.766, ? = 0.016), searching for digital mental health services (p <0.107, ? = 0.085), and awareness of free university services (p < 0.307, ? = -0.058), DMHS providers (p < 0.529, ? = 0.038), and fourth industrial revolution technologies (p < 0.106, ? = -0.091) did not significantly influence adoption intentions. The study contributes to sustainable digital mental health support for university staff in South Africa. The results could potentially be applicable to similar contexts globally. Thus, helping to achieve the Sustainable Development Goal 3 of the United Nations of ensuring good health and wellbeing.

In the context of rapid technological advancement and evolving financial ecosystems, this study investigates the interplay between financial literacy, digital finance, and financial behaviour among high school teachers in KwaZulu-Natal (KZN), South Africa. Structural equation modelling (SEM) approach was used to describe intricate relationships between latent constructs, namely, financial literacy, financial Behaviour and, digital finance Knowledge as well as observed variables (B7 to B22, C23 to C44, D45 to D56, demographics). Demographic variables include Gender, Age Category, Qualification Type, Teaching Duration, Financial Literacy Course and Field Employed. The model defined each construct as a linear combination of its observed variables as well as demographic variables under its measurement component, and hypothetical relationships among three latent variables under its structural component. We used Python software and machine learning code to create and estimate the model using observed data. The missing values in each observed variable were imputed with averages of the variables’ data. The tests of normality assumption for SEM were performed using histogram and q-q plots, Shapiro-Wilk test D'Agostino and Pearson's test.  Most data vectors violated the normality assumption. Diagonally Weighted Least Squares (DWLS) was used for parameter estimation as a suitable method that can provide better estimation for more complex models with many parameters. This method has an additional advantage of being less sensitive to outliers. The DWLS parameter estimation results, based on p-values, suggest that financial literacy and financial behaviour have a negative association which means that lacking financial behaviour results in financial literacy. A positive association between has been identified between financial behaviour and digital finance knowledge. Financial literacy and digital finance knowledge have a weak or no relationship. Thus, having or not having digital finance knowledge does not necessarily determine the possibility of experiencing financial literacy. Furthermore, among demographic variables, the financial literacy Course is the only demographic variable that has a significant impact, and only on Financial Behaviour and Financial literacy. The rest of the variables do not significantly influence the latent constructs. This study uniquely applies SEM using the DWLS estimator to explore personal finance dynamics in an emerging economy, offering concise insights into key relationships.

Geophagic practise amongst women of reproductive age remains a major public health concern that is associated with perinatal and postpartum mortalities and morbidities that requires critical interventions to mitigate the practise. Despite the available interventions such as administration of oral iron and folic acid supplementation and intravenous iron therapy, geophagic women of reproductive age do not adhere to the prescribed treatment. Geophagic practise is mostly common and prevalent amongst women of reproductive age worldwide, irrespective of their socio-economic status, ethnicity, age, and social status. An exploratory qualitative research method was used to conduct the study to explore the perceived barriers to accessing treatment for geophagy among women of reproductive age in Tshwane District, Gauteng Province, using the Health Belief Model as a theoretical framework. The study was conducted in the antenatal care and family planning units in the public healthcare facilities of Tshwane District, Gauteng Province. The findings indicate that absence of geophagy health education and screening of iron deficiency in the antenatal care units, as part of the antenatal care. addiction, dependency syndrome, influence from peers, fear of judgement and shame to disclose to healthcare providers about their geophagic practise status, lack of awareness regarding the benefits of taking oral and intravenous iron therapies were stressed as the main barriers influencing the uptake of treatment for geophagy amongst women of reproductive age. The implementation of iron and folic acid supplementation and intravenous iron therapy for geophagic women of reproductive age is not adequately yielding positive results if this initiative is not coupled with geophagy health education particularly in the antenatal care units to enhance treatment uptake and adherence.

In the context of rapid technological advancement and evolving financial ecosystems, this study investigates the interplay between financial literacy, digital finance, and financial behaviour among high school teachers in KwaZulu-Natal (KZN), South Africa. Structural equation modelling (SEM) approach was used to describe intricate relationships between latent constructs, namely, financial literacy, financial Behaviour and, digital finance Knowledge as well as observed variables (B7 to B22, C23 to C44, D45 to D56, demographics). Demographic variables include Gender, Age Category, Qualification Type, Teaching Duration, Financial Literacy Course and Field Employed. The model defined each construct as a linear combination of its observed variables as well as demographic variables under its measurement component, and hypothetical relationships among three latent variables under its structural component. We used Python software and machine learning code to create and estimate the model using observed data. The missing values in each observed variable were imputed with averages of the variables’ data. The tests of normality assumption for SEM were performed using histogram and q-q plots, Shapiro-Wilk test D'Agostino and Pearson's test.  Most data vectors violated the normality assumption. Diagonally Weighted Least Squares (DWLS) was used for parameter estimation as a suitable method that can provide better estimation for more complex models with many parameters. This method has an additional advantage of being less sensitive to outliers. The DWLS parameter estimation results, based on p-values, suggest that financial literacy and financial behaviour have a negative association which means that lacking financial behaviour results in financial literacy. A positive association between has been identified between financial behaviour and digital finance knowledge. Financial literacy and digital finance knowledge have a weak or no relationship. Thus, having or not having digital finance knowledge does not necessarily determine the possibility of experiencing financial literacy. Furthermore, among demographic variables, the financial literacy Course is the only demographic variable that has a significant impact, and only on Financial Behaviour and Financial literacy. The rest of the variables do not significantly influence the latent constructs. This study uniquely applies SEM using the DWLS estimator to explore personal finance dynamics in an emerging economy, offering concise insights into key relationships.

Geophagic practise amongst women of reproductive age remains a major public health concern that is associated with perinatal and postpartum mortalities and morbidities that requires critical interventions to mitigate the practise. Despite the available interventions such as administration of oral iron and folic acid supplementation and intravenous iron therapy, geophagic women of reproductive age do not adhere to the prescribed treatment. Geophagic practise is mostly common and prevalent amongst women of reproductive age worldwide, irrespective of their socio-economic status, ethnicity, age, and social status. An exploratory qualitative research method was used to conduct the study to explore the perceived barriers to accessing treatment for geophagy among women of reproductive age in Tshwane District, Gauteng Province, using the Health Belief Model as a theoretical framework. The study was conducted in the antenatal care and family planning units in the public healthcare facilities of Tshwane District, Gauteng Province. The findings indicate that absence of geophagy health education and screening of iron deficiency in the antenatal care units, as part of the antenatal care. addiction, dependency syndrome, influence from peers, fear of judgement and shame to disclose to healthcare providers about their geophagic practise status, lack of awareness regarding the benefits of taking oral and intravenous iron therapies were stressed as the main barriers influencing the uptake of treatment for geophagy amongst women of reproductive age. The implementation of iron and folic acid supplementation and intravenous iron therapy for geophagic women of reproductive age is not adequately yielding positive results if this initiative is not coupled with geophagy health education particularly in the antenatal care units to enhance treatment uptake and adherence.

The study aimed to investigate factors influencing the intention to adopt e-health tools for accessing digital mental health services among university staff at a selected South African higher education institution. A quantitative case study was conducted at a single university in Cape Town, South Africa. Data was collected from 348 respondents using online questionnaires and analysed using descriptive statistics and multiple regression. The results revealed that stable internet access at home did not significantly influence the intention to adopt e-health tools (p =0.698, ? = -0.020), but concerns about internet costs were a barrier (p = 0.011, ? = 0.131). University staff who used multiple devices (p = 0.014, ? = 0.136) and preferred e-health tools over traditional face-to-face services were more likely to adopt them (p < 0.001, ? = 0.319). Moreover, social media usage (p < 0.766, ? = 0.016), searching for digital mental health services (p <0.107, ? = 0.085), and awareness of free university services (p < 0.307, ? = -0.058), DMHS providers (p < 0.529, ? = 0.038), and fourth industrial revolution technologies (p < 0.106, ? = -0.091) did not significantly influence adoption intentions. The study contributes to sustainable digital mental health support for university staff in South Africa. The results could potentially be applicable to similar contexts globally. Thus, helping to achieve the Sustainable Development Goal 3 of the United Nations of ensuring good health and wellbeing.