The impact of antibiotics on growth in children in low and middle income countries: systematic review and meta-analysis of randomised controlled trials

ObjectiveTo evaluate evidence from published randomised controlled trials (RCTs) for the use of task-shifting strategies for cardiovascular disease (CVD) risk reduction in low-income and middle-income countries (LMICs).DesignSystematic review of RCTs that utilised a task-shifting strategy in the management of CVD in LMICs.Data SourcesWe searched the following databases for relevant RCTs: PubMed from the 1940s, EMBASE from 1974, Global Health from 1910, Ovid Health Star from 1966, Web of Knowledge from 1900, Scopus from 1823, CINAHL from 1937 and RCTs from ClinicalTrials.gov.Eligibility criteria for selecting studiesWe focused on RCTs published in English, but without publication year. We included RCTs in which the intervention used task shifting (non-physician healthcare workers involved in prescribing of medications, treatment and/or medical testing) and non-physician healthcare providers in the management of CV risk factors and diseases (hypertension, diabetes, hyperlipidaemia, stroke, coronary artery disease or heart failure), as well as RCTs that were conducted in LMICs. We excluded studies that are not RCTs.ResultsOf the 2771 articles identified, only three met the predefined criteria. All three trials were conducted in practice-based settings among patients with hypertension (2 studies) and diabetes (1 study), with one study also incorporating home visits. The duration of the studies ranged from 3 to 12 months, and the task-shifting strategies included provision of medication prescriptions by nurses, community health workers and pharmacists and telephone follow-up posthospital discharge. Both hypertension studies reported a significant mean blood pressure reduction (2/1 mm Hg and 30/15 mm Hg), and the diabetes trial reported a reduction in the glycated haemoglobin levels of 1.87%.ConclusionsThere is a dearth of evidence on the implementation of task-shifting strategies to reduce the burden of CVD in LMICs. Effective task-shifting interventions targeted at reducing the global CVD epidemic in LMICs are urgently needed.

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Correction to: The Impact of Quality Improvement Interventions in Improving Surgical Infections and Mortality in Low and Middle-Income Countries: A Systematic Review and Meta-Analysis

World Journal of Surgery ◽

10.1007/s00268-021-06274-2 ◽

2021 ◽

Author(s):

James Jin ◽

Salesi ’Akau’ola ◽

Cheng-Har Yip ◽

Peter Nthumba ◽

Emmanuel A. Ameh ◽

...

Keyword(s):

Systematic Review ◽

Quality Improvement ◽

Meta Analysis ◽

Middle Income ◽

Middle Income Countries ◽

Surgical Infections ◽

Improvement Interventions ◽

Quality Improvement Interventions ◽

The Impact ◽

Low And Middle Income

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Impact of social distancing measures for preventing coronavirus disease 2019 [COVID-19]: A systematic review and meta-analysis protocol

10.1101/2020.06.13.20130294 ◽

2020 ◽

Cited By ~ 3

Author(s):

Krishna Regmi ◽

Cho Mar Lwin

Keyword(s):

Public Health ◽

Systematic Review ◽

Randomised Controlled Trials ◽

Meta Analysis ◽

World Health ◽

Controlled Trials ◽

List Type ◽

Social Distancing ◽

Randomised Controlled ◽

The Impact

AbstractIntroductionSocial distancing measures (SDMs) protect public health from the outbreak of coronavirus disease 2019 (COVID-19). However, the impact of SDMs has been inconsistent and unclear. This study aims to assess the effects of SDMs (e.g. isolation, quarantine) for reducing the transmission of COVID-19.Methods and analysisWe will conduct a systematic review meta-analysis research of both randomised controlled trials and non-randomised controlled trials. We will search MEDLINE, EMBASE, Allied & Complementary Medicine, COVID-19 Research and WHO database on COVID-19 for primary studies assessing the effects of SDMs (e.g. isolation, quarantine) for reducing the transmission of COVID-19, and will be reported in accordance with PRISMA statement. The PRISMA-P checklist will be used while preparing this protocol. We will use Joanna Briggs Institute guidelines (JBI Critical Appraisal Checklists) to assess the methodological qualities and synthesised performing thematic analysis. Two reviewers will independently screen the papers and extracted data. If sufficient data are available, the random-effects model for meta-analysis will be performed to measure the effect size of SDMs or the strengths of relationships. To assess the heterogeneity of effects, I2 together with the observed effects (Q-value, with degrees of freedom) will be used to provide the true effects in the analysis.Ethics and disseminationEthics approval and consent will not be required for this systematic review of the literature as it does not involve human participation. We will be able to disseminate the study findings using the following strategies: we will be publishing at least one paper in peer-reviewed journals, and an abstract will be presented at suitable national/international conferences or workshops. We will also share important information with public health authorities as well as with the World Health Organization. In addition, we may post the submitted manuscript under review to bioRxiv, medRxiv, or other relevant pre-print servers.Strengths and limitations of this studyTo our knowledge, this study will be the first systematic review to examine the impact of social distancing measures to reduce transmission of COVID-19.This study will offer highest level of evidence for informed decisions, drawing a broader framework.This protocol reduces the possibility of duplication, provides transparency to the methods and procedures that will be used, minimise potential biases and allows peer-review.This research is not externally funded, and therefore time and resource will be constrained.If included studies will be variable in sample size, quality and population, which may open to bias, and the heterogeneity of data will preclude a meaningful meta-analysis to measure the impact of specific SDMs

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