METHOD: The study applied a quantitative approach based on the cross-sectional survey design and multistage cluster random sampling. A total of 400 women aged 35-69 years, were surveyed at 4 obstetric and gynecologic clinics affiliated to Tehran University of Medical Sciences in Tehran: the participation levels of 86 women who have had a mammogram were analyzed based on their self-efficacy, belief, social influence, and barriers concerning mammography utilization.
RESULTS: Consistent with the study framework, in bivariate analysis, the higher level of women's participation in breast cancer prevention programs was significantly related to more positive belief about mammography (p< .05), greater social influence on mammography (p< .01) and fewer barriers to mammography (p< .01). Self efficacy (p= .114) was not significantly related to the higher level of participation.
CONCLUSION: Results suggest that women's participation levels in breast cancer prevention programs might be associated with the specific psychosocial factors on breast cancer preventive behavior such as mammography screening.
METHODS: In this study, Researchers systematically searched electronic databases PubMed, Scopus, Web of Science, Embase, ScienceDirect, and Google Scholar search engines for studies until September 2023. To analyze data, the random effects model was used, and the heterogeneity of the studies was checked with the I2 index. Data analysis was performed by software (Version 2 Comprehensive Meta-Analysis).
RESULTS: In the review of 28 studies with a sample size of 12,908 people, the I2 heterogeneity test showed high heterogeneity (I2: 98.4). Based on this, the random effects method was used to analyze the results. Therefore, the meta-analysis reported the global prevalence of back pain at 40.5 (95% CI: 33-48.4) during pregnancy. Also, according to the meta-analysis, the global prevalence of back pain in the first trimester of pregnancy is 28.3 (95%CI: 10.5-57.1), in the second trimester is 36.8 (95%CI: 30.4-43.7) and in the third trimester of pregnancy was reported as 47.8 (95% CI: 37.2-58.6).
CONCLUSION: In this meta-analysis, the overall prevalence of back pain in pregnant women was reported to be significant, so it is necessary for health policymakers to pay more attention to complications during pregnancy, in addition to increasing society's awareness of pregnant mothers, with timely diagnosis and treatment of such disorders, it can lead to improvement; and reduction in Complications caused by pregnancy and becoming more pleasant during pregnancy.
METHODS: This is a quasi-experimental research with prepost test design with control group involving 81 participants per group from two health clinics in Sepang. The primary outcome was a change in the haemoglobin levels following educational intervention. Secondary outcomes include knowledge on anaemia, Health Belief Model (HBM) constructs, dietary iron intake and compliance towards iron supplementation. The intervention group received a HBMbased education intervention programme.
RESULTS: The response rate in the intervention and control group were 83.9% and 82.7% respectively. Generalised estimating equations analysis showed that the intervention was effective in improving the mean haemoglobin level (β=0.75, 95%CI=0.52, 0.99, p<0.001), the knowledge score (β=1.42, 95%CI=0.36, 2.49, p=0.009), perceived severity score (β=2.2, 95%CI= 1.02, 3.39, p<0.001) and increased proportion of high compliance level (AOR=4.59, 95%CI=1.58, 13.35, p=0.005).
CONCLUSION: HBM-based health education programme has proven to be effective in improving the haemoglobin levels, knowledge scores, perceived severity scores and compliance level of participants. The study results emphasized on the effectiveness of such an approach, therefore it is recommended that future educational interventions which aim at increasing preventive healthy behaviours in pregnant women may benefit from the application of this model in primary health care settings.
METHODS: Scopus, Web of Science, SAGE, and Ovid were systematically searched using the keywords "maternal", "COVID-19 pandemic", "maternal health service", and "maternal perception". Articles were eligible for inclusion if they were original articles, written in English, and published between January 1, 2020, and December 12, 2022. This review was performed based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Eligible articles were assessed using the Mixed Methods Appraisal Tool. Thematic analysis was used for data synthesis.
RESULTS: Of 2683 articles identified, 13 fulfilled the inclusion criteria and were included in the narrative synthesis. Five themes emerged regarding the determinants of maternal perception of antenatal healthcare services during the COVID-19 pandemic critical phase: lack of psychosocial support, poor maternal healthcare quality, poor opinion of virtual consultation, health structure adaptation failure to meet women's needs, and satisfaction with maternal health services.
CONCLUSION: Maternal perception, specifically pregnant women's psychosocial and maternal health needs, should be focused on the continuation of maternal care during the COVID-19 pandemic. It is critical to identify the maternal perception of maternal health services during the pandemic to ensure health service equity in the "new normal" future.
DESCRIPTION: COVID-19 directly affects pregnant women causing more severe disease and adverse pregnancy outcomes. The indirect effects due to the monumental COVID-19 response are much worse, increasing maternal and neonatal mortality.
ASSESSMENT: Amidst COVID-19, governments must balance effective COVID-19 response measures while continuing delivery of essential health services. Using the World Health Organization's operational guidelines as a base, countries must conduct contextualized analyses to tailor their operations. Evidence based information on different services and comparative cost-benefits will help decisions on trade-offs. Situational analyses identifying extent and reasons for service disruptions and estimates of impacts using modelling techniques will guide prioritization of services. Ensuring adequate supplies, maintaining core interventions, expanding non-physician workforce and deploying telehealth are some adaptive measures to optimize care. Beyond the COVID-19 pandemic, governments must reinvest in maternal and child health by building more resilient maternal health services supported by political commitment and multisectoral engagement, and with assistance from international partners.
CONCLUSIONS: Multi-sectoral investments providing high-quality care that ensures continuity and available to all segments of the population are needed. A robust primary healthcare system linked to specialist care and accessible to all segments of the population including marginalized subgroups is of paramount importance. Systematic approaches to digital health care solutions to bridge gaps in service is imperative. Future pandemic preparedness programs must include action plans for resilient maternal health services.