Search

Background: Appropriate prenatal care (PNC) is essential for improving maternal and infant health; nevertheless, millions of women in low- and middle-income countries (LMICs) do not receive it properly. The objective of this review is to identify and summarize the qualitative studies that report on health system-related barriers in PNC management in LMICs. Methods: This systematic review was conducted in 2022. A range of electronic databases including PubMed, Web of Knowledge, CINHAL, SCOPUS, Embase, and Science Direct were searched for qualitative studies conducted in LMICs. The reference lists of eligible studies also were hand searched. The studies that reported health system-related barrier of PNC management from the perspectives of PNC stakeholders were considered for inclusion. Study quality assessment was performed applying the Critical Appraisal Skills Programme (CASP) checklist, and thematic analyses performed. Results: Of the 32 included studies, 25 (78%) were published either in or after 2013. The total population sample included 1677 participants including 629 pregnant women, 122 mothers, 240 healthcare providers, 54 key informed, 164 women of childbearing age, 380 community members, and 88 participants from other groups (such as male partners and relatives). Of 32 studies meeting inclusion criteria, four major themes emerged: (1) healthcare provider-related issues; (2) service delivery issues; (3) inaccessible PNC; and (4) poor PNC infrastructure. Conclusion: This systematic review provided essential findings regarding PNC barriers in LMICs to help inform the development of effective PNC strategies and public policy programs. [ABSTRACT FROM AUTHOR]

Background: Pandemics such as COVID-19, can lead to psychiatric symptoms like anxiety. It seems that meta-analysis of meta-analysis studies can provide more comprehensive information regarding the needs for post-COVID-19 services. Therefore, this umbrella review and meta-analysis of meta-analyses aimed to estimate the precise prevalence of anxiety during the COVID-19 pandemic. Methods: PubMed, Scopus, and Web of Science were searched for published meta-analyses using relevant keywords, such as Anxiety, Prevalence, COVID-19, and Meta-analysis up to November 1, 2023. Google Scholar, reference check, citation check, and grey literature were manually searched. A random-effect model was used for the analysis. All analyses were conducted using STATA: 17. Results: Out of the 4263 records, Finally, 75 meta-analyses were included. The overall prevalence of anxiety was 30.4% [95% CI: 29–31.8] with a high heterogeneity (I2: 86.76%). The highest prevalence of anxiety according to population type was 41.3% in patients and then in students (30.8), pregnant women (30.6%), and health care workers (30.5%). The Result of meta-regression showed that "Time" (based on the time between the start of COVID-19 and the last search date in articles) was not a significant predictor of the prevalence of anxiety (R Coefficient = 0.000149, P = 0.61). Conclusions: Considering the prevalence of anxiety among patients, students, pregnant women, and healthcare workers, special attention should be paid to these groups in case of the re-occurrence of COVID-19 or occurrence of other pandemics. As quarantine due to pandemics causes reduced social interactions, reduced income, and increased worry about severe illness and death, there is a need for large-scale mobilization of political measures. [ABSTRACT FROM AUTHOR]

Background: Pre-Hospital Emergency Care (PEC) is a fundamental property of prevention of Road Traffic Injuries (RTIs). Thus, this sector requires a system for evaluation and performance improvement. This study aimed to develop quality indicators to measure PEC for RTIs.Methods: Following the related literature review, 14 experts were interviewed through semi-structured interviews to identify Quality Measurement Indicators (QMIs). The extracted indicators were then categorized into three domains: structure, performance, and management. Finally, the identified QMIs were confirmed through two rounds of the Delphi technique.Results: Using literature review 11 structural, 13 performance, and four managerial indicators (A total of 28 indicators) were identified. Also, four structural, four performance, and three managerial indicators (A total of 11indicators) were extracted from interviews with experts. Two indicators were excluded after two rounds of Delphi's technics. Finally, 14 structural, 16 performance and, seven managerial indicators (A total of 37indicators) were finalized.Conclusion: Due to the importance and high proportion of RTIs compared to other types of injuries, this study set out to design and evaluate the QMIs of PEC delivered for RTIs. The findings of this research contribute to measuring and planning aimed at improving the performance of PEC. [ABSTRACT FROM AUTHOR]