Exploring the role of the physiotherapy clinical educators in the clinical setting in Uganda

Magister Scientiae (Physiotherapy) - MSc(Physio)Clinical education is considered a cornerstone of the healthcare professionals’ education including physiotherapists. Clinical education involves translation of theoretical knowledge into practical skills, facilitated by clinical educators whose roles vary from place to place. The clinical educators’ roles have a number of facilitators as well as barriers and these have been minimally evaluated globally and locally, including Uganda. Therefore, the aim of the study was to explore and describe the perception of the physiotherapists regarding their role as clinical educators and to identify the barriers to and facilitators for physiotherapy clinical education at the national and regional referral hospitals in Uganda

A spatial analysis of tuberculosis related mortality in South Africa

BACKGROUND : South Africa, with an estimated annual tuberculosis (TB) incidence of 360,000 cases in 2019, remains one of the countries with the largest burden of TB in the world. The identification of highly burdened TB areas could support public health policy planners to optimally target resources and TB control and prevention interventions. OBJECTIVE : To investigate the spatial epidemiology and distribution of TB mortality in South Africa in 2010 and its association with area-level poverty and HIV burden. METHODS : The study analysed a total of 776,176 TB deaths for the period 2005–2015. Local and global and spatial clustering of TB death rates were investigated by Global and Local Moran’s Indices methods (Moran’s I). The spatial regression analysis was employed to assess the effect of poverty and HIV on TB mortality rates. RESULTS : There was a significant decrease in TB mortality rate, from 179 per 100,000 population in 2005 to 60 per 100,000 population in 2015. The annual TB mortality rate was higher among males (161.5 per 100,000 male population; (95% confidence interval (CI) 132.9, 190.0) than among females (123.2 per 100,000 female population; (95% CI 95.6, 150.8)). The 35–44 age group experienced higher TB mortality rates, regardless of gender and time. Hot spot clusters of TB mortality were found in the South-Eastern parts of the country, whereas cold spot clusters were largely in the north-eastern parts. Tuberculosis death rates were positively associated with poverty, as measured by the South African Multidimension Poverty Index (SAMPI) as well TB death rates in the neighbouring districts. CONCLUSION : The findings of this study revealed a statistically significant decrease in TB deaths and a disproportionate distribution of TB deaths among certain areas and population groups in South Africa. The existence of the identified inequalities in the burden of TB deaths calls for targeted public health interventions, policies, and resources to be directed towards the most vulnerable populations in South Africa.The South African Medical Research Council-National Health Scholars Programme and The Auckland University of Technology, Faculty of Health and Environment Sciences, Doctoral fees scholarship funding, New Zealand.https://www.mdpi.com/journal/ijerpham2022Statistic

High burden of pulmonary tuberculosis and missed opportunity to initiate treatment among children in Kampala, Uganda

Background: There is uncertainty about the actual burden of childhood TB in Uganda, but underestimation is acknowledged. We aimed at determining prevalence, factors associated with PTB among children attending PHC facilities in Kampala. Methods: This was a cross-sectional study of 255 children, with presumed TB, attending six health facilities in Kampala, Uganda, in March 2015. Socio-demographic, clinical, and laboratory data were collected using a questionnaire. TB was diagnosed using “Desk Guide” algorithms. Sputum based on ZN/FM and/or Gene-Xpert. Logistic regression was used to assess associations with outcomes. Results: Overall, prevalence of PTB 13.7 % (2.6 – 24.8). Among HIV-positive, the prevalence of PTB was 41.7%, while among malnourished children, 21.7% and contacts, 89.3%. The factors that influenced PTB included: tobacco smoker at home (OR =1.6, 95 % CI: 1.07 – 6.86), stunting (OR = 2.2, 95 % CI: 1.01 – 4.15). Only 5.3% of the smear-negative TB children and 81.3% of the smear-positive children were initiated on treatment within a month of diagnosis. Conclusion: Clinical TB among children is underdiagnosed and undertreated. There is a need for more sensitive and specific diagnostic tests, need ways to disseminate and promote uptake of standardized clinical algorithms. Also, contact TB tracing should be strengthened so that such cases can be actively detected even at community level. Keywords: Pediatric; pulmonary; tuberculosis

A Spatial Analysis of Tuberculosis Related Mortality in South Africa

Background: South Africa, with an estimated annual tuberculosis (TB) incidence of 360,000 cases in 2019, remains one of the countries with the largest burden of TB in the world. The identification of highly burdened TB areas could support public health policy planners to optimally target resources and TB control and prevention interventions. Objective: To investigate the spatial epidemiology and distribution of TB mortality in South Africa in 2010 and its association with area-level poverty and HIV burden. Methods: The study analysed a total of 776,176 TB deaths for the period 2005–2015. Local and global and spatial clustering of TB death rates were investigated by Global and Local Moran’s Indices methods (Moran’s I). The spatial regression analysis was employed to assess the effect of poverty and HIV on TB mortality rates. Results: There was a significant decrease in TB mortality rate, from 179 per 100,000 population in 2005 to 60 per 100,000 population in 2015. The annual TB mortality rate was higher among males (161.5 per 100,000 male population; (95% confidence interval (CI) 132.9, 190.0) than among females (123.2 per 100,000 female population; (95% CI 95.6, 150.8)). The 35–44 age group experienced higher TB mortality rates, regardless of gender and time. Hot spot clusters of TB mortality were found in the South-Eastern parts of the country, whereas cold spot clusters were largely in the north-eastern parts. Tuberculosis death rates were positively associated with poverty, as measured by the South African Multidimension Poverty Index (SAMPI) as well TB death rates in the neighbouring districts. Conclusion: The findings of this study revealed a statistically significant decrease in TB deaths and a disproportionate distribution of TB deaths among certain areas and population groups in South Africa. The existence of the identified inequalities in the burden of TB deaths calls for targeted public health interventions, policies, and resources to be directed towards the most vulnerable populations in South Africa