scholarly journals Effect of Food Environment Interventions on Anthropometric Outcomes in School-Aged Children and Adolescents in Low- and Middle-Income Countries: A Systematic Review and Meta-Analysis

2020 ◽  
Vol 4 (7) ◽  
Author(s):  
Bianca Carducci ◽  
Christina Oh ◽  
Emily C Keats ◽  
Daniel E Roth ◽  
Zulfiqar A Bhutta

ABSTRACT Food environments may promote access to unhealthy foods, contributing to noncommunicable diseases in low- and middle- income countries (LMICs). This review assessed published evidence on the effects of food environment interventions on anthropometric (BMI and weight status) outcomes in school-aged children (5–9 y) and adolescents (10–19 y) (SACA) in LMICs. We summarized randomized controlled trials (RCTs) and quasi-experimental studies (QES) published since 2000 to August 2019 in the peer-reviewed and gray literature that assessed the effects of food-related behavioral and environmental interventions on diet-related health outcomes in SACA in LMICs. Electronic databases (MEDLINE, Embase, PsycINFO, Cochrane Library) were searched using appropriate keywords, Medical Subject Headings, and free text terms. Eleven RCTs and 6 QES met the inclusion criteria, testing multicomponent behavioral and environmental interventions in schools. Analysis of 6 RCTs (n  = 17,054) suggested an overall effect on change in BMI [mean difference (MD): −0.11, 95% CI: −0.19 , −0.03], whereas there was no observed effect in 5 studies using endline BMI (n  = 17,371) (MD: 0.05, 95% CI: −0.32, 0.21). There was no significant pooled effect among the 3 QES (n  = 5,023) that reported differences in change in BMI or endline (MD: −0.37, 95% CI: −0.95, 0.22). There is limited evidence to support the modification of diet-related health outcomes through school-based food environment interventions in SACA in LMICs. Further studies are needed to understand the impact of school and community-based food environment interventions on nutritional status in this population.

2021 ◽  
Author(s):  
Moses Ocan ◽  
Brenda Allen Kawala ◽  
Ephraim Kisangala ◽  
Regina Ndagire ◽  
Rachel Nante Wangi ◽  
...  

Abstract Background: Globally, health care workers continue to be infected, fall ill and die at the frontline of the Coronavirus disease 2019 (COVID-19) fight, an indicator of inadequate safety in health facilities. This rapid evidence synthesis aims to highlight the impacts of COVID-19 on healthcare workers in low-and middle-income countries (LMICs) in terms of infections, illnesses and deaths. Methods: A systematic review will be done. Article search will be performed by an experienced librarian in PubMed, MEDLINE Ovid, Google Scholar, COVID-END, Cochrane library and targeted search from other relevant sources. MeSH terms and Boolean operators “AND” and “OR” will be used in the article search. Independent reviewers will screen the retrieved articles using a priori criteria. Data abstraction will be done using an excel based abstraction tool and synthesized using structured narratives and summary of findings tables. Discussion and anticipated use of results: This evidence synthesis seeks to analyze the impact of COVID-19 on the healthcare systems of low- and middle-income countries. Information on healthcare worker infections, illness, and deaths due to COVID-19, will be collated from published research articles. This will help guide decision makers in establishing low- cost high impact interventions to mitigate the effects of COVID-19 in the health work force.Protocol registration: PROSPERO CRD 42020204174


Author(s):  
Manoj Mohan ◽  
Kwabena Appiah-Sakyi ◽  
Ashok Oliparambil ◽  
Abdul Pullatayil ◽  
Stephen Lindow ◽  
...  

Background The global effect of the COVID-19 pandemic has had an impact on pregnancy and outcomes. There has been recently some conflicting evidence on the stillbirths during the COVID-19 pandemic. This meta-analysis attempts to resolve this through a systematic approach. Objectives To analyse and determine the impact of COVID-19 on the stillbirth rate. Search strategy We searched PubMed, Embase, Cochrane library, ClinicalTrials.gov and Web of Science from inception to 05 March 2021 with no language restriction for this meta-analysis. Selection criteria Publications (a) with stillbirth data on pregnant women with COVID-19 (b) comparing stillbirth rates in pregnant women with and without COVID-19 and (c), comparing stillbirth rates before and during the pandemic. Data collection and Analysis The included studies were all observational studies, and we used the Newcastle Ottawa score for risk of bias. We performed the meta-analysis using Comprehensive meta-analysis software, version 3. Main results A total of 29 studies were included in the meta-analysis; from 17 of these, the SB rate was 7 per 1000 in pregnant women with COVID-19. This rate was much higher (34/1000) in low- and middle-income countries. The odds ratio of stillbirth in pregnant women with COVID-19 compared to those without was 1.89. However, there was no significant difference in population SB rates before and during the pandemic. Conclusions There is some evidence that the stillbirth rate has increased during the COVID-19 pandemic, but this is mainly in low- and middle-income countries. Inadequate access to healthcare during the pandemic could be a contributing factor.


2021 ◽  
Author(s):  
Moses Ocan ◽  
Brenda Allen Kawala ◽  
Ephraim Kisangala ◽  
Regina Ndagire ◽  
Rachel Nante Nante Wangi ◽  
...  

Abstract Background: Globally, health care workers continue to be infected, fall ill and die at the frontline of the Coronavirus Disease 2019 (COVID-19) fight, an indicator of inadequate safety in health facilities. This rapid evidence synthesis aims to highlight the impacts of COVID-19 on healthcare workers in low-and middle-income countries (LMICs) in terms of infections, illnesses and deaths. Methods: A systematic review will be done. Article search will be performed by an experienced librarian in PubMed, MEDLINE Ovid, Google Scholar, COVID-END, Cochrane library and targeted search from other relevant sources. MeSH terms and Boolean operators “AND” and “OR” will be used in the article search. Independent reviewers will screen the retrieved articles using a priori criteria. Data abstraction will be done using an excel based abstraction tool and synthesized using structured narratives and summary of findings tables. Discussion: This evidence synthesis seeks to analyze the impact of COVID-19 on the healthcare systems of low- and middle-income countries. Information on healthcare worker infections, illness, and deaths due to COVID-19, will be collated from published research articles. This will help guide decision makers in establishing low- cost high impact interventions to mitigate the effects of COVID-19 in the health work force.Protocol registration: PROSPERO CRD 42020204174 [1] [1] This protocol registration can be found at; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020204174


2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Marina Siqueira ◽  
Maíra Coube ◽  
Christopher Millett ◽  
Rudi Rocha ◽  
Thomas Hone

Abstract Background Health systems are often fragmented in low- and middle-income countries (LMICs). This can increase inefficiencies and restrict progress towards universal health coverage. The objective of the systematic review described in this protocol will be to evaluate and synthesize the evidence concerning the impacts of health systems financing fragmentation in LMICs. Methods Literature searches will be conducted in multiple electronic databases, from their inception onwards, including MEDLINE, EMBASE, LILACS, CINAHL, Scopus, ScienceDirect, Scielo, Cochrane Library, EconLit, and JSTOR. Gray literature will be also targeted through searching OpenSIGLE, Google Scholar, and institutional websites (e.g., HMIC, The World Bank, WHO, PAHO, OECD). The search strings will include keywords related to LMICs, health system financing fragmentation, and health system goals. Experimental, quasi-experimental, and observational studies conducted in LMICs and examining health financing fragmentation across any relevant metric (e.g., the presence of different health funders/insurers, risk pooling mechanisms, eligibility categories, benefits packages, premiums) will be included. Studies will be eligible if they compare financing fragmentation in alternative settings or at least two-time points. The primary outcomes will be health system-related goals such as health outcomes (e.g., mortality, morbidity, patient-reported outcome measures) and indicators of access, services utilization, equity, and financial risk protection. Additional outcomes will include intermediate health system objectives (e.g., indicators of efficiency and quality). Two reviewers will independently screen all citations, abstract data, and full-text articles. Potential conflicts will be resolved through discussion and, when necessary, resolved by a third reviewer. The methodological quality (or risk of bias) of selected studies will be appraised using established checklists. Data extraction categories will include the studies’ objective and design, the fragmentation measurement and domains, and health outcomes linked to the fragmentation. A narrative synthesis will be used to describe the results and characteristics of all included studies and to explore relationships and findings both within and between the studies. Discussion Evidence on the impacts of health system fragmentation in LMICs is key for identifying evidence gaps and priority areas for intervention. This knowledge will be valuable to health system policymakers aiming to strengthen health systems in LMICs. Systematic review registration PROSPERO CRD42020201467


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