scholarly journals Strengthening health policy development and management systems in low- and middle- income countries: South Africa's approach

2020 ◽  
Vol 1 ◽  
pp. 100010 ◽  
Author(s):  
Jeff Lane ◽  
Gail Andrews ◽  
Erica Orange ◽  
Audrey Brezak ◽  
Gaurang Tanna ◽  
...  
2016 ◽  
Vol 3 ◽  
Author(s):  
J. Abdulmalik ◽  
L. Kola ◽  
O. Gureje

IntroductionA health systems approach to understanding efforts for improving health care services is gaining traction globally. A component of this approach focuses on health system governance (HSG), which can make or mar the successful implementation of health care interventions. Very few studies have explored HSG in low- and middle-income countries, including Nigeria. Studies focusing on mental health system governance, are even more of a rarity. This study evaluates the mental HSG of Nigeria with a view to understanding the challenges, opportunities and strategies for strengthening it.MethodologyThis study was conducted as part of the project, Emerging Mental Health Systems in Low and Middle Income Countries (Emerald). A multi-method study design was utilized to evaluate the mental HSG status of Nigeria. A situational analysis of the health policy and legal environment in the country was performed. Subsequently, 30 key informant interviews were conducted at national, state and district levels to explore the country's mental HSG.ResultsThe existing policy, legislative and institutional framework for HSG in Nigeria reveals a complete exclusion of mental health in key health sector documents. The revised mental health policy is however promising. Using the Siddiqi framework categories, we identified pragmatic strategies for mental health system strengthening that include a consideration of existing challenges and opportunities within the system.ConclusionThe identified strategies provide a template for the subsequent activities of the Emerald Programme (and other interventions), towards strengthening the mental health system of Nigeria.


Water ◽  
2021 ◽  
Vol 13 (20) ◽  
pp. 2897
Author(s):  
Sadhana Shrestha ◽  
Emi Yoshinaga ◽  
Saroj K. Chapagain ◽  
Geetha Mohan ◽  
Alexandros Gasparatos ◽  
...  

Wastewater-based epidemiology (WBE) is an approach that can be used to estimate COVID-19 prevalence in the population by detecting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA in wastewater. As the WBE approach uses pooled samples from the study population, it is an inexpensive and non-invasive mass surveillance method compared to individual testing. Thus, it offers a good complement in low- and middle-income countries (LMICs) facing high costs of testing or social stigmatization, and it has a huge potential to monitor SARS-CoV-2 and its variants to curb the global COVID-19 pandemic. The aim of this review is to systematize the current evidence about the application of the WBE approach in mass surveillance of COVID-19 infection in LMICs, as well as its future potential. Among other parameters, population size contributing the fecal input to wastewater is an important parameter for COVID-19 prevalence estimation. It is easier to back-calculate COVID-19 prevalence in the community with centralized wastewater systems, because there can be more accurate estimates about the size of contributing population in the catchment. However, centralized wastewater management systems are often of low quality (or even non-existent) in LMICs, which raises a major concern about the ability to implement the WBE approach. However, it is possible to mobilize the WBE approach, if large areas are divided into sub-areas, corresponding to the existing wastewater management systems. In addition, a strong coordination between stakeholders is required for estimating population size respective to wastewater management systems. Nevertheless, further international efforts should be leveraged to strengthen the sanitation infrastructures in LMICs, using the lessons gathered from the current COVID-19 pandemic to be prepared for future pandemics.


Sign in / Sign up

Export Citation Format

Share Document