This article focuses on levels of burnout as well as engagement experienced by fourth-year undergraduate social work students attending a South African university. By means of quantitative procedures, data were obtained from 43 final-year social work students who completed a self-administered questionnaire. Respondents presented with above-average levels of exhaustion, professional efficacy, vigour, dedication and absorption, and below average levels of cynicism. Non-parametric procedures revealed significant differences in the levels of burnout related to population group, place of origin and household income status. Recommendations focus on monitoring the wellbeing of students and mobilising support for students who appear more vulnerable to burnout and low academic engagement.
It is widely accepted that culture is a contextual factor that can affect mother–infant attachment. Cultural beliefs are translated into child-rearing patterns that influence maternal responsiveness to infant attachment behaviours and could thus affect sensitive caregiving that lies at the heart of secure attachment. This article reports on the findings of a study that explored the influence of culture on maternal caregiving behaviours in the multi-cultural South African context. Data were collected by means of semi-structured interviews conducted with participants from three study samples to ascertain their perceptions of socio-cultural influences on attachment. Two samples consisted of mothers and mental health professionals, respectively, who represented different South African cultures (Xhosa, Sotho, Zulu, Coloured, Indian and White). The third sample consisted of experts in the field of attachment. The research findings indicate that culture could influence maternal caregiving behaviours. Although all the participants valued good caregiving, some maternal responses to infant attachment behaviours varied among participants from different cultures. The research emphasises the importance of considering local contexts in understanding attachment and maternal sensitivity.
Postpartum hemorrhage (PPH) is one of the leading causes of maternal morbidity worldwide. This study aimed to develop and validate a predictive model for PPH after vaginal deliveries, based on routinely available clinical and biological data. The derivation monocentric cohort included pregnant women with vaginal delivery at Brest University Hospital (France) between April 2013 and May 2015. Immediate PPH was defined as a blood loss of ≥500 mL in the first 24 h after delivery and measured with a graduated collector bag. A logistic model, using a combination of multiple imputation and variable selection with bootstrap, was used to construct a predictive model and a score for PPH. An external validation was performed on a prospective cohort of women who delivered between 2015 and 2019 at Brest University Hospital. Among 2742 deliveries, PPH occurred in 141 (5.1%) women. Eight factors were independently associated with PPH: pre-eclampsia (aOR 6.25, 95% CI 2.35–16.65), antepartum bleeding (aOR 2.36, 95% CI 1.43–3.91), multiple pregnancy (aOR 3.24, 95% CI 1.52–6.92), labor duration ≥ 8 h (aOR 1.81, 95% CI 1.20–2.73), macrosomia (aOR 2.33, 95% CI 1.36–4.00), episiotomy (aOR 2.02, 95% CI 1.40–2.93), platelet count < 150 Giga/L (aOR 2.59, 95% CI 1.47–4.55) and aPTT ratio ≥ 1.1 (aOR 2.01, 95% CI 1.25–3.23). The derived predictive score, ranging from 0 to 10 (woman at risk if score ≥ 1), demonstrated a good discriminant power (AUROC 0.69; 95% CI 0.65–0.74) and calibration. The external validation cohort was composed of 3061 vaginal deliveries. The predictive score on this independent cohort showed an acceptable ability to discriminate (AUROC 0.66; 95% CI 0.62–0.70). We derived and validated a robust predictive model identifying women at risk for PPH using in-depth statistical methodology. This score has the potential to improve the care of pregnant women and to take preventive actions on them.
Worldwide the internet is increasingly used for personal, academic and workrelated purposes. Extensive internet use could result in Problematic Internet Use (PIU). Students, often young adults, are identified as a potential risk group for PIU. Social work has a long history of involvement with services related to addiction and PIU falls within this domain. A hiatus was identified in terms of the voice of students, as service users, on the involvement of social workers in services related to PIU within the university environment. Based on convenience sampling, a survey was undertaken with 498 second-year students enrolled for a basic social science course at a South African university. Data were collected by means of a survey, including an open-ended question, with the aim to explore students' perceptions of and suggestions for the involvement of social workers in services related to PIU. Based on the findings, integrated primary and secondary social work methods on the levels of prevention, early intervention, treatment and aftercare are recommended. Recommendations include awareness campaigns, community education, policy development, skills training, individual counselling, therapy groups, and aftercare services to ensure the sustainability of the gains from previous interventions.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.