Potential impact of adjustment policies on vulnerability of women and children to HIV/AIDS in sub-Saharan Africa

This paper evaluates the potential impact of adjustment policies of the International Monetary Fund and the World Bank on the vulnerability of women and children to HIV/AIDS in sub-Saharan Africa. A conceptual framework, composed of five different pathways of causation, is used for the evaluation. These five pathways connect changes at the macro level (e.g. removal of food subsidies) with effects at the meso (e.g. higher food prices) and micro levels (e.g. exposure of women and children to commercial sex) that influence the vulnerability of women and children to HIV/AIDS. Published literature on adjustment policies and socioeconomic determinants of HIV/AIDS among women and children in sub-Saharan Africa was reviewed to explore the cause-effect relationships included in the theoretical framework. Evidence suggests that adjustment policies may inadvertently produce conditions facilitating the exposure of women and children to HIV/AIDS. Complex research designs are needed to further investigate this relationship. A shift in emphasis from an individual approach to a socioeconomic approach in the study of HIV infection among women and children in the developing world is suggested. Given the potential for adjustment policies to exacerbate the AIDS pandemic among women and children, a careful examination of the effects of these policies on maternal and child welfare is urgently needed

User fees impact access to healthcare for female children in rural Zambia

The World Bank and International Monetary Fund favor healthcare user fees. User fees offer revenue and may decrease inappropriate care. However, user fees may deter needed care, especially in vulnerable populations. A cross-sectional analysis of healthcare utilization in a large Zambian hospital was conducted for children 3-6 years of age during a 1-month observation period. Diagnoses and treatments were compared using paired t-tests. Chi-squared tests compared outpatient service use. The relative risk of admission was determined for each stratum. Logistic models were developed to evaluate the impact of age, gender, and the age-gender interaction on hospital admissions. Trends suggest female children may be less likely to present for care when user fees are imposed. However, treatment type, treatment number, and number of diagnoses did not differ between genders. The relative risk of admission was highest for males 5-6 years old. Neither age nor gender alone was a significant determinant of hospital admission. However, the age-gender interaction was significant with female admissions least likely when costs were incurred. We conclude that user fees appear to decrease differentially utilization of inpatient care for female children in rural Zambia

Neurological & Psychiatric Society of Zambia's Evidence-Based Guidelines for EEG Utilization at the University Teaching Hospital

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Headache disorders are third cause of disability worldwide

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Magnetic Resonance Imaging in Malawi: Contributions to Clinical Care, Medical Education and Biomedical Research

Advanced medical imaging technologies are generally unavailable in low income, tropical settings despite the reality that neurologic disorders are disproportionately common in such environments. Through a series of donations as well as extramural research funding support, an MRI facility opened in Blantyre, Malawi in July 2008. Resulting opportunities for studying common tropical disorders, such as malaria and schistosomiasis, in vivo are promising. The subsequent improvements in local patient care were expected and exceptional and include major revisions in basic care protocols that may eventually impact care protocols at facilities in the region that do not have recourse to MRI. In addition, advanced neuroimaging technology has energized the medical education system, possibly slowing the brain drain. Advanced technologies, though potentially associated with significant fiscal opportunity costs, may bring unexpected and extensive benefits to the healthcare and medical education systems involved

The Global Campaign turns 18: a brief review of its activities and achievements

The Global Campaign against Headache, as a collaborative activity with the World Health Organization (WHO), was formally launched in Copenhagen in March 2004. In the month it turns 18, we review its activities and achievements, from initial determination of its strategic objectives, through partnerships and project management, knowledge acquisition and awareness generation, to evidence-based proposals for change justified by cost-effectiveness analysis

Supervised machine learning algorithms can classify open-text feedback of doctor performance with human-level accuracy

Background: Machine learning techniques may be an effective and efficient way to classify open-text reports on doctor’s activity for the purposes of quality assurance, safety, and continuing professional development. Objective: The objective of the study was to evaluate the accuracy of machine learning algorithms trained to classify open-text reports of doctor performance and to assess the potential for classifications to identify significant differences in doctors’ professional performance in the United Kingdom. Methods: We used 1636 open-text comments (34,283 words) relating to the performance of 548 doctors collected from a survey of clinicians’ colleagues using the General Medical Council Colleague Questionnaire (GMC-CQ). We coded 77.75% (1272/1636) of the comments into 5 global themes (innovation, interpersonal skills, popularity, professionalism, and respect) using a qualitative framework. We trained 8 machine learning algorithms to classify comments and assessed their performance using several training samples. We evaluated doctor performance using the GMC-CQ and compared scores between doctors with different classifications using t tests. Results: Individual algorithm performance was high (range F score=.68 to .83). Interrater agreement between the algorithms and the human coder was highest for codes relating to “popular” (recall=.97), “innovator” (recall=.98), and “respected” (recall=.87) codes and was lower for the “interpersonal” (recall=.80) and “professional” (recall=.82) codes. A 10-fold cross-validation demonstrated similar performance in each analysis. When combined together into an ensemble of multiple algorithms, mean human-computer interrater agreement was .88. Comments that were classified as “respected,” “professional,” and “interpersonal” related to higher doctor scores on the GMC-CQ compared with comments that were not classified (P.05). Conclusions: Machine learning algorithms can classify open-text feedback of doctor performance into multiple themes derived by human raters with high performance. Colleague open-text comments that signal respect, professionalism, and being interpersonal may be key indicators of doctor’s performance

Diagnosis, prevalence estimation and burden measurement in population surveys of headache: presenting the HARDSHIP questionnaire

The global burden of headache is very large, but knowledge of it is far from complete and needs still to be gathered. Published population-based studies have used variable methodology, which has influenced findings and made comparisons difficult. The Global Campaign against Headache is undertaking initiatives to improve and standardize methods in use for cross-sectional studies. One requirement is for a survey instrument with proven cross-cultural validity. This report describes the development of such an instrument. Two of the authors developed the initial version, which was used with adaptations in population-based studies in China, Ethiopia, India, Nepal, Pakistan, Russia, Saudi Arabia, Zambia and 10 countries in the European Union. The resultant evolution of this instrument was reviewed by an expert consensus group drawn from all world regions. The final output was the Headache-Attributed Restriction, Disability, Social Handicap and Impaired Participation (HARDSHIP) questionnaire, designed for application by trained lay interviewers. HARDSHIP is a modular instrument incorporating demographic enquiry, diagnostic questions based on ICHD-3 beta criteria, and enquiries into each of the following as components of headache-attributed burden: symptom burden; health-care utilization; disability and productive time losses; impact on education, career and earnings; perception of control; interictal burden; overall individual burden; effects on relationships and family dynamics; effects on others, including household partner and children; quality of life; wellbeing; obesity as a comorbidity. HARDSHIP already has demonstrated validity and acceptability in multiple languages and cultures. Modules may be included or not, and others (eg, on additional comorbidities) added, according to the purpose of the study and resources (especially time) available

The Role of Hospitalists in the Acute Care of Stroke Patients

Stroke care has become progressively more complicated with advances in therapies necessitating timely intervention. There are multiple potential providers of stroke care, which traditionally has been the province of general neurologists and primary care physicians. These new players, be they vascular neurologists, neurohospitalists, internal medicine hospitalists, or neurocritical care physicians, at the bedside or at a distance, are poised to make a significant impact on our care of stroke patients. The collaborative model of care may be or become the most prevalent as physicians apply their distinct skill sets to the complex care of inpatients with cerebrovascular disease