scholarly journals Inequities in postnatal care in low- and middle-income countries: a systematic review and meta-analysis

2015 ◽  
Vol 93 (4) ◽  
pp. 259-270G ◽  
Author(s):  
Étienne V Langlois ◽  
Malgorzata Miszkurka ◽  
Maria Victoria Zunzunegui ◽  
Abdul Ghaffar ◽  
Daniela Ziegler ◽  
...  
2020 ◽  
Author(s):  
Ravi Kant ◽  
Poonam Yadav ◽  
Surekha Kishore ◽  
Shruti Barnwal ◽  
Rajesh Kumar ◽  
...  

ABSTRACTObjectiveTo evaluate the effectiveness of mHealth interventions on antenatal and postnatal care utilization in low and middle-income countries.DesignSystematic review and meta-analysisSettingStudies from low and middle-income countries were included for analysis.ParticipantsWe searched the literature through major electronic databases such as PubMed, MEDLINE, Embase, Cochrane, Scopus, CINAHL, Clinical key, Google Scholar, Ovid databases with selected keywords, and explored the reference list of articles. Meta-analysis was performed in RevMan 5.4 software; p-value < 0.05 was considered statistically significant. The effect of variables was measured in the Odds ratio with a fixed-effect model. Six published interventional studies were selected as per the eligibility and PICO framed for the systematic review and meta-analysis. Search restricted to articles in the English language, online published, and preprint articles till September 2020.Primary and secondary outcome measuresWe evaluated the effectiveness of mHealth intervention on antenatal care utilization, including four antenatal check-ups, iron-folic acid supplementation, two tetanus toxoid immunizations, and postnatal care utilization, which includes postnatal check-ups of delivered mothers.ResultsResults have been presented in the form of a forest plot. Findings of this meta-analysis depicted the significant increase in four or more antenatal care attendance (OR=1.89, 95% CI-1.49-2.19), TT immunization (OR=1.63 (95% CI-1.17-2.27), compliance to iron supplementation (OR=1.88, 95% CI-1.18-3.00) and postnatal care attendance (OR=2.54 (95% CI-2.15-2.99) among those pregnant mothers who received mHealth intervention compared to control group.ConclusionThis meta-analysis concluded that m-health has the potential to increase the utilization of full antenatal care and postnatal care compared to standard care, although the level of evidence is moderate.Trial registrationCRD42020204618, PROSPERO, International prospective register of systematic reviewsArticle SummaryStrengths and limitations of this studyThis meta-analysis creates an evidence for the effectiveness of mHealth with pooled data of interventional studies with limited sample sizes.Technology is changing, but even with limited support like SMS, there was an improvement in antenatal and postnatal service utilization.Sensitivity analysis identified possible reasons for heterogeneity among studies.Studies included from LMICs so results can be generalized for the respective population.mHealth as an intervention is a broad term that created heterogeneity also.


BMC Cancer ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Eric Torgbenu ◽  
Tim Luckett ◽  
Mark A. Buhagiar ◽  
Sungwon Chang ◽  
Jane L. Phillips

2021 ◽  
Author(s):  
Martin Ackah ◽  
Louise Ameyaw ◽  
Kwadwo Owusu Akuffo ◽  
Cynthia Osei Yeboah ◽  
Nana Esi Wood ◽  
...  

Abstract Background Seroprevalence of SARS Cov-2 provides a good indication of the extent of exposure and spread in the population, as well as those likely to benefit from a vaccine candidate. To date, there is no published or ongoing systematic review on the seroprevalence of COVID-19 in Low- and Middle-Income Countries (LMICs). This systematic review and meta-analysis will estimate SARS Cov-2 seroprevalence and the risk factors for SARS Cov-2 infection in LMICs.Methods We will search PubMed, EMBASE, WHO COVID-19 Global research database, Google Scholar, the African Journals Online, LILAC, HINARI, medRxiv, bioRxiv and Cochrane Library for potentially useful studies on seroprevalence of COVID-19 in LMICs from December 2019 to December 2020 without language restriction. Two authors will independently screen all the articles, select studies based on pre-specified eligibility criteria and extract data using a pre-tested data extraction form. Any disagreements will be resolved through discussion between the authors. The pooled seroprevalence of SARS CoV-2 for people from LMICs will be calculated. Random effects model will be used in case of substantial heterogeneity in the included studies, otherwise fixed-effect model will be used. A planned subgroup, sensitivity and meta-regression analyses will be performed. For comparative studies, the analyses will be performed using Review Manager v 5.4; otherwise, STATA 16 will be used. All effect estimates will be presented with their confidence intervals.Discussion The study will explore and systematically review empirical evidence on SARS Cov-2 seroprevalence in LMICs, and to assess the risk factors for SARS Cov-2 infection in Low Middle Income Countries in the context of rolling out vaccines in these countries. Finally, explore risk classifications to help with the rolling out of vaccines in LMICs.Systematic review registration: The protocol for this review has been registered in PROSPERO (CRD422020221548).


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