scholarly journals Psychological Treatments for the World: Lessons from Low- and Middle-Income Countries

2017 ◽  
Vol 13 (1) ◽  
pp. 149-181 ◽  
Author(s):  
Daisy R. Singla ◽  
Brandon A. Kohrt ◽  
Laura K. Murray ◽  
Arpita Anand ◽  
Bruce F. Chorpita ◽  
...  
Author(s):  
Brendon Stubbs ◽  
Kamran Siddiqi ◽  
Helen Elsey ◽  
Najma Siddiqi ◽  
Ruimin Ma ◽  
...  

Tuberculosis (TB) is a leading cause of mortality in low- and middle-income countries (LMICs). TB multimorbidity [TB and ≥1 non-communicable diseases (NCDs)] is common, but studies are sparse. Cross-sectional, community-based data including adults from 21 low-income countries and 27 middle-income countries were utilized from the World Health Survey. Associations between 9 NCDs and TB were assessed with multivariable logistic regression analysis. Years lived with disability (YLDs) were calculated using disability weights provided by the 2017 Global Burden of Disease Study. Eight out of 9 NCDs (all except visual impairment) were associated with TB (odds ratio (OR) ranging from 1.38–4.0). Prevalence of self-reported TB increased linearly with increasing numbers of NCDs. Compared to those with no NCDs, those who had 1, 2, 3, 4, and ≥5 NCDs had 2.61 (95% confidence interval (CI) = 2.14–3.22), 4.71 (95%CI = 3.67–6.11), 6.96 (95%CI = 4.95–9.87), 10.59 (95%CI = 7.10–15.80), and 19.89 (95%CI = 11.13–35.52) times higher odds for TB. Among those with TB, the most prevalent combinations of NCDs were angina and depression, followed by angina and arthritis. For people with TB, the YLDs were three times higher than in people without multimorbidity or TB, and a third of the YLDs were attributable to NCDs. Urgent research to understand, prevent and manage NCDs in people with TB in LMICs is needed.


2020 ◽  
Vol 10 (4) ◽  
pp. 691-715 ◽  
Author(s):  
Laura Abramovsky ◽  
Luis Andrés ◽  
George Joseph ◽  
Juan Pablo Rud ◽  
Germán Sember ◽  
...  

Abstract This paper provides new evidence on the recent performance of piped water consumption subsidies in terms of pro-poor targeting for 10 low- and middle-income countries around the world. Our results suggest that in these countries, existing tariff structures fall well short of recovering the costs of service provision, and that, moreover, the resulting subsidies largely fail to achieve the goal of improving the accessibility and affordability of piped water among the poor. Instead, the majority of subsidies in all 10 countries are captured by the richest households. On average, across the 10 low- and middle-income countries examined, 56% of subsidies end up in the pockets of the richest 20%, but only 6% of subsidies find their way to the poorest 20%. This is predominantly due to the most vulnerable segments of the population facing challenges in access and connection to piped water services. Shortcomings in the design of the subsidy, conditional on poor households being connected, exist but are less important.


2016 ◽  
Vol 3 ◽  
Author(s):  
C. L. H. Bockting ◽  
A. D. Williams ◽  
K. Carswell ◽  
A. E. Grech

The World Health Organization (WHO) reports that low- and middle-income countries (LMICs) are confronted with a serious ‘mental health gap’, indicating an enormous disparity between the number of individuals in need of mental health care and the availability of professionals to provide such care (WHO in 2010). Traditional forms of mental health services (i.e. face-to-face, individualised assessments and interventions) are therefore not feasible. We propose three strategies for addressing this mental health gap: delivery of evidence-based, low-intensity interventions by non-specialists, the use of transdiagnostic treatment protocols, and strategic deployment of technology to facilitate access and uptake. We urge researchers from all over the world to conduct feasibility studies and randomised controlled studies on the effect of low-intensity interventions and technology supported (e.g. online) interventions in LMICs, preferably using an active control condition as comparison, to ensure we disseminate effective treatments in LMICs.


Author(s):  
Raiiq Ridwan ◽  
Md Robed Amin ◽  
Md Ridwanur Rahman

Since December 2019, when a cluster of atypical pneumonia cases were identified in Wuhan, China a new disease has spread across the world. COVID-19 has since become the biggest pandemic in a century, touching lives in almost every country in the world. At the outset of COVID-19, the World Health Organization advised for testing to become a priority so that patients with COVID-19 could be quickly identified, isolated and treated to interrupt transmission of disease. However, testing shortages have been an increasing problem in low and middle income countries. Even when tests are available, it has proved time-consuming. Therefore, we propose a symptom-based tool to assist in the diagnosis of COVID-19 management in low and middle income Countries. It is based on the symptoms that have so far been described in the literature and advises the frontline healthcare worker on how to diagnose the likelihood of having COVID-19 and separate the patient into Red (very likely), Yellow (possible) and Green (unlikely) categories. J Bangladesh Coll Phys Surg 2020; 38(0): 71-75


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