Agregador de canales de noticias
Alianza colaborativa para el desarrollo de la enfermería y la partería en la región de las Américas: informe de un taller
Collaborative partnership for nursing and midwifery development in the region of the Americas: report of a workshop
Fareham; Centro para el Avance de la Educación Interprofesional; jul. 2013. 36 p. ilus. [No convencional]
Application of machine learning models in predicting length of stay among healthcare workers in underserved communities in South Africa
Human resource planning in healthcare can employ machine learning to effectively predict length of stay of recruited health workers who are stationed in rural areas. While prior studies have identified a number of demographic factors related to general health practitioners’ decision to stay in public health practice, recruitment agencies have no validated methods to predict how long these health workers will commit to their placement. We aim to use machine learning methods to predict health professional’s length of practice in the rural public healthcare sector based on their demographic information.Methods
Recruitment and retention data from Africa Health Placements was used to develop machine-learning models to predict health workers’ length of practice. A cross-validation technique was used to validate the models, and to evaluate which model performs better, based on their respective aggregated error rates of prediction. Length of stay was categorized into four groups for classification (less than 1 year, less than 2 years, less than 3 years, and more than 3 years). R, a statistical computing language, was used to train three machine learning models and apply 10-fold cross validation techniques in order to attain evaluative statistics.Results
The three models attain almost identical results, with negligible difference in accuracy. The “best”-performing model (Multinomial logistic classifier) achieved a 47.34% [SD 1.63] classification accuracy while the decision tree model achieved an almost comparable 45.82% [SD 1.69]. The three models achieved an average AUC of approximately 0.66 suggesting sufficient predictive signal at the four categorical variables selected.Conclusions
Machine-learning models give us a demonstrably effective tool to predict the recruited health workers’ length of practice. These models can be adapted in future studies to incorporate other information beside demographic details such as information about placement location and income. Beyond the scope of predicting length of practice, this modelling technique will also allow strategic planning and optimization of public healthcare recruitment.
This article describes a twinning relationship between the Canadian Association of Midwives (CAM) and the Tanzania Midwives Association (TAMA). It argues that the twinning relationship strengthened both associations. The article briefly reviews the existing literature on professional associations and association strengthening to demonstrate that professional associations are a vital tool for improving the performance of healthcare workers and increasing their capacity to contribute to national and international policy-making. It then suggests that midwifery associations are particularly significant given the frequent professional marginalization of midwives. The article then describes in depth the relationship between CAM and TAMA, highlighting the accomplishments of the twinned partners, and analyzing the factors that contributed to the success of the relationship. The findings demonstrate that twinning can successfully strengthen associations, increasing their ability to support their membership, care for the public, and shape national policy-making. The article therefore proposes twinning as a successful and cost-effective model for encouraging the growth of the midwifery profession.
Rwanda is a country of 12 million people with 41% of its population under the age of 14 years. Despite major improvements in health care since the 1994 genocide, pediatric neuroimaging in Rwanda remains challenging. Prenatal and advanced imaging techniques, such as magnetic resonance imaging (MRI), are not widespread. As a result, many children with neurological diseases present unexpectedly as newborns or are in advanced stages of disease at diagnosis. The goal of this essay is to describe some unique features of the practice of pediatric neuroradiology in Rwanda in 2018.
Relatório final da oficina de alinhamento conceitual sobre educação e trabalho interprofissional em saúde
Understanding HRH recruitment in post-conflict settings: an analysis of central-level policies and processes in Timor-Leste (1999-2018).
Hum Resour Health;16(1): 66, 2018 Nov 29. . [Artigo]
Sierra Leone, a low-income and post-conflict country, has an extreme shortage of qualified medical doctors. Given the complex challenges facing medical education in this country and the need for context-specific knowledge, the aim of this paper is to explore the undergraduate medical education experience in Sierra Leone through qualitative interviews with recent graduates.Methods
In-depth interviews were conducted with purposively sampled junior doctors (n = 15) who had graduated from the only medical school in Sierra Leone. Additionally, semi-structured interviews were held with senior teaching staff at the School (n = 7). Interviews were conducted in October 2013. Results were thematically analysed.Results
The analytical framework consisted of four themes. Medical school experiences (Theme 1) were described as ‘stressful and tedious’ but also ‘interesting and enjoyable’. Various constraints were experienced linked to the Medical school capacity (Theme 2), including human (limited number of teachers, teaching skills), organisational (departmental differences, curriculum related challenges), physical (lacking teaching facilities on campus, transportation problems) and financial capacity (inadequate remunerations for teachers, most students receive scholarships). Medical school culture (Theme 3) was by some participants perceived as fearful and unfair. Findings suggest various coping strategies (Theme 4) were used at school (‘creatively’ hire extra teaching staff, teaching schedule upon availability of staff), staff (juggle multiple roles, teach flexibly), and student levels (comply with ‘hidden’ rules, negotiate teaching support from less qualified health personnel).Conclusions
This study has provided an insight into the student perspective on medical education in Sierra Leone. Numerous capacity related concerns were identified; which are unsurprising for an educational institution in a low-income and conflict affected country. While the School, staff and students have found creative ways to deal with these constraints, participants’ accounts of stress imply more is needed. For example, findings suggest that: students could be better supported in their self-directed learning, more effort is required to ensure basic needs of students are met (like shelter and food), and the power imbalance between staff and students could be addressed. Also better alignment amongst learning objectives and assessment methods will likely diminish student distress and may, consequently, reduce exam failure and possibly drop-out.
Health service providers play a key role in addressing women’s need for pregnancy prevention, especially during the postpartum period. Yet, in Nepal, little is known about their views on providing postpartum family planning (PPFP) services and postpartum contraceptive methods such as immediate postpartum intra-uterine devices (PPIUD). This paper explores the perspectives of different types of providers on PPFP including PPIUD, their confidence in providing PPFP services, and their willingness to share their knowledge and skills with colleagues after receiving PPFP and PPIUD training.Methods
In-depth interviews were conducted with 14 obstetricians/gynecologists and nurses from six tertiary level public hospitals in Nepal after they received PPFP and PPIUD training as part of an intervention aimed at integrating PPFP counseling and insertion into routine maternity care services. The interviews were audio recorded, transcribed, and analyzed using a thematic approach.Results
Providers identified several advantages of PPFP, supported the provision of such services, and were willing to transfer their newly acquired skills to colleagues in other facilities who had not received PPFP and PPIUD training. However, many providers identified several supply-side and training-related barriers to providing high quality PPFP services, such as, (i) lack of adequate human resources, particularly a FP counselor; (ii) work overload; (iii) lack of private space for counseling; (iv) lack of IUDs and information, education and counseling materials; and (v) lack of support from hospital management.Conclusions
Providers appeared to be motivated to deliver quality PPFP services and transfer their knowledge to colleagues but identified several barriers which prevented them from doing so. Future efforts to improve provision of quality PPFP services should address the barriers identified by providers.
Practice of emergency obstetric care signal functions and reasons for non-provision among health centers and hospitals in Lake and Western zones of Tanzania
The Lake and Western Zones of Tanzania that encompass eight regions namely; Kagera, Geita, Simiyu, Shinyanga, Mwanza, Mara Tabora and Kigoma have consistently been reported with the poorest Maternal Newborn and Child Health (MNCH) indicators in the country. This study sought to establish the provision of Emergency Obstetric Care (EmOC) signal functions and reasons for the failure to do so among health centers and hospitals in the two zones.Methods
All the 261 public and private hospitals and health centers providing Obstetric Care services in Lake and Western Zones were surveyed in 2014. Data were collected using questionnaires adapted from the Averting Maternal Deaths and Disabilities (AMDD) tool to assess EmOC indicators. Managers in all facilities were interviewed and services, medicines and equipment were observed. Spatial Mapping was done using a calibrated Global Positioning System (GPS) Essential Software for Android and coordinates represented on digitalized map with Arc Geographical Information System (GIS) software. Population data were according to the 2012 Housing and Population National Census.Results
In total 261 health facilities were identified as providers of Obstetric care services, including 69 hospitals and 192 health centres which constitute an overall facility density of 8 per 500,000 population. The three most common EmOC signal functions available in the 3 months preceding the survey were oxytocics (95.7%), injectable antibiotics (88.9%) and basic newborn resuscitation (83.4%). The lowest proportions of facilities performed Cesarean section (25.7%) and blood transfusion (34.6%). Policy restrictions were the most frequent reasons given in relation to nonperformance of blood transfusion and Cesarean section when needed. Lack of training and supplies were the most common reasons for non availability of assisted vaginal delivery and uterine evacuation. Overall the Direct Case fatality Rate for direct obstetric causes was 3%. The referral system highly depended on hired or shared ambulance.Conclusion
The provision of EmOC signal functions in Lake and Western zones of Tanzania is inconsistent, being mainly compromised by policy restrictions, lack of supplies and professional development, and by operating under lowly developed referral services.