Excess mortality during the COVID-19 pandemic in low-and lower-middle-income countries: a systematic review and meta-analysis.

BACKGROUND: Although the COVID-19 pandemic claimed a great deal of lives, it is still unclear how it affected mortality in low- and lower-middle-income countries (LLMICs). This review summarized the available literature on excess mortality during the COVID-19 pandemic in LLMICs, including methods, sources of data, and potential contributing factors that might have influenced excess mortality. METHODS: We conducted a systematic review and meta-analysis on excess mortality during the COVID-19 pandemic in LLMICs in line with the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) 2020 guidelines We searched PubMed, Embase, Web of Science, Cochrane Library, Google Scholar, and Scopus. We included studies published from 2019 onwards with a non-COVID-19 period of at least one year as a comparator. The meta-analysis included studies reporting data on population size, as well as observed and expected deaths. We used the Mantel-Haenszel method to estimate the pooled risk ratio with 95% confidence intervals. The protocol was registered in PROSPERO (ID: CRD42022378267). RESULTS: The review covered 29 countries, with 10 countries included in the meta-analysis. The pooled meta-analysis included 1,405,128,717 individuals, for which 2,152,474 deaths were expected, and 3,555,880 deaths were reported. Calculated excess mortality was 100.3 deaths per 100,000 population per year, with an excess risk of death of 1.65 (95% CI: 1.649, 1.655, p < 0.001). The data sources used in the studies included civil registration systems, surveys, public cemeteries, funeral counts, obituary notifications, burial site imaging, and demographic surveillance systems. The primary techniques used to estimate excess mortality were statistical forecast modelling and geospatial analysis. One out of the 24 studies found higher excess mortality in urban settings. CONCLUSION: Our findings demonstrate that excess mortality in LLMICs during the pandemic was substantial. However, estimates of excess mortality are uncertain due to relatively poor data. Understanding the drivers of excess mortality, will require more research using various techniques and data sources.

Excess mortality during the COVID-19 pandemic in low-income and lower middle-income countries: protocol for a systematic review and meta-analysis.

INTRODUCTION: The COVID-19 pandemic has been marked by a massive death toll. However, the overall effect of the pandemic, including potential unintended negative impacts of some control measures, on mortality remains poorly understood in low-income and lower middle-income countries (LLMICs). This review aims to summarise the available literature on excess mortality in LLMICs, focusing on the methods and data sources used in estimating excess mortality and the drivers of excess mortality. METHODS AND ANALYSIS: We will review the available literature and report results in line with the Preferred Reporting Items for Systematic Review and Meta-Analysis. Searches will be conducted in PubMed, Embase, Web of Science, Cochrane Library, Google Scholar and Scopus. All published studies that report on the estimates of excess mortality in populations of LLMICs will be included. This will include those with a publication date from 2019 onwards and those with at least a 1-year non-COVID-19 period as the comparator in the estimation of excess mortality during the pandemic. There will be no language restrictions on the search. The meta-analysis will include studies with extractable data on excess mortality, methods, population size, and observed and expected deaths. We will use the Mantel-Haenszel method to estimate the pooled risk ratio with 95% CIs. ETHICS AND DISSEMINATION: As there is no primary data collection, there is no requirement for ethical review. The results will be disseminated through peer-reviewed journal publication and conference presentations. PROSPERO REGISTRATION NUMBER: CRD42022378267.

Mhealth tools for community-based infectious disease surveillance in Africa: a scoping review protocol.

INTRODUCTION: Countries in the WHO's African region have found community-based surveillance useful in ensuring the effectiveness of the Integrated Disease Surveillance and Response strategy. This approach encourages community participation in the surveillance system, in addition to early detection of outbreaks and other health threats. Thus, advancements in mobile health have the potential to improve community-based surveillance in Africa. The purpose of this review is to map evidence on available mhealth tools for community-based infectious disease surveillance in Africa. METHODS AND ANALYSIS: The scoping review will follow a mixed-methods approach in line with the framework of Arksey and O'Malley amended by Levac and colleagues and the Joanna Briggs Institute. To retrieve published literature, PubMed, Scopus, Web of Science, Google Scholar and Google databases will be explored. Websites of organisations involved in surveillance activities across the African region will also be explored. Authors will be interested in published literature between 2000 and 2022 in any language. The primary investigator and a second author will independently review the retrieved titles according to the inclusion criteria, while a third reviewer will resolve conflicts that may arise. The review will map evidence according to the key concepts (mhealth, community-based surveillance and Africa) to inform stakeholders and mhealth designers on best practices to adopt involving mhealth approaches at the community level and mhealth tool designs, respectively. Results following the review will be presented according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses: Extension for Scoping Review Guidelines. ETHICS AND DISSEMINATION: Ethical approval is not required for scoping reviews as it does not involve the use of human subjects. This review is the first phase in an overall project on digital health. The findings of the review will be published in a peer-reviewed journal and disseminated at suitable forums and conferences.

Sociodemographic characteristics and reproductive health factors associated with maternal knowledge and practice of infection prevention in neonates in North Dayi District, Ghana.

Background: Neonates are at a greater risk of infection, but data on the maternal knowledge and practice of infection prevention in neonates (IPNs) are scarce. This study aimed to assess sociodemographic characteristics and reproductive health factors associated with maternal knowledge and practice of IPNs in North Dayi District, Ghana. Methods: This was a multicenter cross-sectional study conducted among 612 mothers. A structured questionnaire was used for data collection adapted from previous studies and the IPN guidelines of the World Health Organization (WHO). Bivariable analyses were performed to determine the association between maternal knowledge and practice of IPNs and sociodemographic characteristics and reproductive health factors. Results: Analysis showed that less than one-fifth of the mothers (12.9%) had poor knowledge of IPNs, while 21.6% incorrectly practiced it. Mothers who had poor knowledge of IPNs [adjusted odds ratio (AOR) = 13.33 (95% CI: 7.69-23.26), p < 0.001] were more likely to have a poor practice of IPNs. Conclusion: About one-fifth of the mothers in this study had poor knowledge or poor practice of IPNs according to the WHO's guidelines. The Health Directorate of North Dayi District should explore the risk factors associated with poor IPNs and increase successful guideline adherence with intensified educational outreach and campaigns.

Effect of pre-consultation testing on clinicians' adherence to malaria test results and waiting time among children under 5 years in the Northern Zone of Volta Region of Ghana.

BACKGROUND: The Ministry of Health, Ghana, in accordance with global policy, recommends that all suspected malaria cases be confirmed parasitologically before treatment. Not all clinicians, however, base their treatment on test results. Patients also spend a lot of time at health facilities waiting to consult a clinician before being asked to go for testing and to see a clinician with test results. The purpose of the study was to determine if testing all children aged 6 to 59 months with fever reporting at an outpatients department (OPD) for malaria before consultation with a clinician (pre-consultation testing) will influence clinicians to adhere to test results and also reduce the time spent by such patients. METHODS: A quasi-experimental study design was used involving two randomly selected government-owned hospitals in the Northern Volta, Ghana. In each hospital, 439 children were recruited between November 2018 and January 2019. The intervention hospital implemented pre-consultation testing. In the comparator arm, standard practices, which involved patients seeing the clinician before he/she decides whether to send the patient for testing or not, were maintained. RESULTS: Out of 878 children screened the overall prevalence of malaria was 31.9% by malaria rapid diagnostic test (RDT) and 26.7% by microscopy. Clinicians in the intervention arm adhered more to the malaria test results than those in the comparator arm (93.2 vs. 84.3%; p < 0.001). The proportion of children who tested negative but were still diagnosed with malaria was significantly lower in the intervention arm compared to the comparator arm (8.4 vs. 21.2%: p < 0.001). Clinicians and mothers/caregivers in both arms preferred pre-consulting testing. Six out of every 10 mothers/caregivers in the comparator arm viewed the waiting time as 'too long'' compared to 4 out of every 10 mothers in the intervention arm. On average, patient waiting time was significantly lower in the intervention arm (2.61 h) than in the comparator arm (3.42 h). CONCLUSION: Pre-consultation testing significantly improves clinicians' adherence to malaria test results, shortens patients' waiting time and leads to overall patient satisfaction. There is a need to establish RDT corners at OPDs of health facilities to implement pre-consultation testing.

Towards Resilient Health Systems in Sub-Saharan Africa: A Systematic Review of the English Language Literature on Health Workforce, Surveillance, and Health Governance Issues for Health Systems Strengthening.

BACKGROUND: Meeting health security capacity in sub-Saharan Africa will require strengthening existing health systems to prevent, detect, and respond to any threats to health. The purpose of this review was to examine the literature on health workforce, surveillance, and health governance issues for health systemsstrengthening. METHODS: We searched PubMed, Science Direct, Cochrane library, CINAHL, Web of Science, EMBASE, EBSCO, Google scholar, and the WHO depository library databases for English-language publications between January 2007 and February 2017. Electronic searches for selected articles were supplemented by manual reference screening. The review followed the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines. RESULTS: Out of 1,548 citations retrieved from the electronic searches, 31 articles were included in the review. Any country health system that trains a cadre of health professionals on the job, reduces health workforce attrition levels, and builds local capacity for health care workers to apply innovative mHealth technologies improves health sector performance. Building novel surveillance systems can improve clinical care and improve health system preparedness for health threats. Effective governance processes build strong partnerships for health and create accountability mechanisms for responding to health emergencies. CONCLUSIONS: Overall, policy shifts in African countries' health systems that prioritize training a cadre of willing and able workforce, invest in robust and cost-effective surveillance capacity, and create financial accountability and good governance are vital in health strengthening efforts.