Introduction: Early childbearing is highly prevalent in Africa. Despite the harmful consequences of early childbearing on young people, there is limited documentation of interventions that aim to improve the health and socioeconomic well-being of young parents on the continent. In this systematic review, we will map and provide a critical synthesis of interventions that aim to improve the health and socioeconomic well-being of young parents in Africa to inform future policy and programmatic decision-making.
Methods And Analysis: The systematic review will adhere to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. We will conduct an electronic search of peer-reviewed articles published in six databases: PubMed, Science Direct, AJOL, JSTOR, ERIC and Google Scholar. We will also search for grey literature through Google search and organisations' websites to broaden the number of interventions retrieved. Articles will be included if (1) the study participants are young mothers and fathers aged 10-24 years, (2) the article reports on interventions targeting young mothers and fathers in Africa or individual countries in Africa, (3) the article is published in English or French, (4) the article reports on health and socioeconomic well-being outcomes and (5) the article was published between 1 January 2000 and 31 December 2023. We will extract relevant information from articles that meet the inclusion criteria and synthesise data using both quantitative and qualitative approaches. Two reviewers will independently screen articles for inclusion, extract data from included articles and assess the methodological quality of studies.
Ethics And Dissemination: Ethical approval is not required for the systematic review since we are synthesising publicly available publications. Findings from this systematic review will be published in a peer-reviewed journal and further disseminated in conferences and convenings focusing on the health and socioeconomic well-being of young parents.
Prospero Registration Number: CRD42023464828.
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http://dx.doi.org/10.1136/bmjopen-2023-083191 | DOI Listing |
World J Surg
January 2025
Gastrointestinal Surgery, Nottingham Digestive Diseases Centre and National Institute for Health Research (NIHR) Biomedical Research Centre, Queen's Medical Centre, Nottingham University Hospitals NHS Trust and University of Nottingham, Nottingham, UK.
BMC Med Inform Decis Mak
January 2025
Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Background: Environmental exposures such as airborne pollutant exposures and socio-economic indicators are increasingly recognized as important to consider when conducting clinical research using electronic health record (EHR) data or other sources of clinical data such as survey data. While numerous public sources of geospatial and spatiotemporal data are available to support such research, the data are challenging to work with due to inconsistencies in file formats and spatiotemporal resolutions, computational challenges with large file sizes, and a lack of tools for patient- or subject-level data integration.
Results: We developed FHIR PIT (HL7® Fast Healthcare Interoperability Resources Patient data Integration Tool) as an open-source, modular, data-integration software pipeline that consumes EHR data in FHIR® format and integrates the data at the level of the patient or subject with environmental exposures data of varying spatiotemporal resolutions and file formats.
BMC Pediatr
January 2025
Biomedical and Clinical Research Centre, College of Health and Allied Sciences, University of Cape Coast, Cape Coast, Ghana.
Purpose: To elucidate the global epidemiology of Ophthalmia Neonatorum (ON), as well as its causative organisms and their antibiotic susceptibility patterns.
Methods: A systematic review of studies reporting the epidemiology of ON was performed using four electronic databases: PubMed, Scopus, Web of Science, and Medline. Data were extracted and study-specific estimates were combined using meta-analysis to obtain pooled proportions.
BMC Public Health
January 2025
Department of Social Work, Hong Kong Baptist University, Hong Kong, China.
Background: The COVID-19 pandemic has had profound psychophysiological and socioeconomic effects worldwide. COVID-19 anxiety syndrome (CAS) is a specific cluster of maladaptive coping strategies, including perseveration and avoidance behaviours, in response to the perceived threat and fear of COVID-19. CAS is distinct from general COVID-19 anxiety.
View Article and Find Full Text PDFBMC Public Health
January 2025
School of Economics, Shandong University of Technology, Zibo, 255000, PR China.
In recent years, the government has promoted the increased deployment of automated external defibrillators (AEDs) in public places with dense crowds, which is of great significance for ensuring that residents enjoy equal health rights. However, it is still unclear what factors decision-makers take into account when formulating deployment plans and whether these factors are related to local characteristics such as population distribution and socioeconomic conditions. Taking Shanghai, China as the research area, we adopted the kernel density estimation and spatial autocorrelation analysis to explore the spatial distribution characteristics of AEDs.
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