Nurses and midwives who work in infertility clinics should aim to identify individuals who are at high risk for infertility stress and adjustment difficulties and they should minimise the identified risk factors for infertility-related stress and strengthen the protective factors.
Mass vaccination against COVID-19 is necessary to control the pandemic. COVID-19 vaccines are now recommended during pregnancy to prevent the disease. A systematic review of the literature in the electronic databases PubMed and EMBASE was performed and we aimed to investigate the attitude of documents towards COVID-19 vaccination and the prognostic factors of vaccination hesitation. A meta-analysis was also conducted to estimate the overall percentage of pregnant women who were willing to be vaccinated or had been vaccinated against COVID-19. A total of 18 studies were included in the review and meta-analysis. The acceptance rate of vaccination against COVID-19 among pregnant women ranged from 17.6% to 84.5%. The pooled proportion of acceptance of vaccination against COVID-19 in pregnant women was 0.53 (95% CI: 0.44–0.61). Predictors of acceptance of COVID-19 vaccination were older age, White race, occupational status, higher level of education, comorbidities, third trimester of pregnancy, influenza vaccination, knowledge about COVID-19, and confidence that vaccines for COVID-19 are safe and effective. The prevalence of COVID-19 vaccination in pregnant women is low. Targeted information campaigns are needed to increase vaccine education in this population.
Background: Cesarean section (CS) rates have been increasing worldwide with different effects on maternal and neonatal health. Factors responsible for the growing trend of CSs, include maternal characteristics, medical insurance and convenient scheduling or financial incentives. Effective interventions and guidelines are required to reduce CS rates. Objective: The aim of this research was to investigate the factors contributing to CS rate increase and their correlation with international guidelines. Methods: The performed analysis included the available socio-demographic and medical information retrieved from the medical records and a related questionnaire in both emergency and elective CSs. Results: Out of the included 633 births, the cesarean delivery rate was 58%. Women with a previous CS showed higher percentages for Elective CS (66.1%) compared to Emergency CSs for the same reasons (8.9%). Furthermore, 23% of the patients underwent an Emergency CS because of failure of labor to progress while 18% of CSs were due to maternal desire. Conclusion: The high rates of CS in Greece demonstrate the lack of use of international obstetric protocols, national strategies, Cesarean Section audits and a significant shortage of midwives. A decrease in iatrogenic and non-iatrogenic factors leading to the primary CS will decrease CS rates.
Background: Sentiment analysis, which is also referred to as ‘opinion mining’ or ‘emotion AI’, processes natural language, analyzes text and employs computational linguistics, and biometrics to identify and analyze emotions and subjective information. Sentiment analysis is mostly applied in domains such as marketing and customer service but also in clinical medicine. Clinical medicine- related sentiment analysis has advanced recently, as more and more researchers are performing studies with the help of this valuable technique, having noticed its ability to contribute in the field. Objective: The aim of this review was to present important facts about sentimental analysis described in deposited articles in on-line databases and the relevant articles critically appraised and a narrative synthesis conducted. Methods: A systematic search of four electronic databases (PubMed, APA PsycINFO, SCOPUS, ScienceDirect) was performed. This review considered only quantitative, primary studies in English language, without geographical limitations, published from 2006-2021 and relevant to the objective. Searching terms were ‘Sentiment analysis’ AND ‘Obstetrics’ OR ‘pregnancy’, OR ‘COVID’ OR ‘Perinatal distress’ OR ‘postpartum period’ OR ‘fetal’ OR ‘breast feeding’ OR ‘cervical’. Results and Discussion: Relevant articles were critically appraised and a narrative synthesis was conducted. As a large number of studies, illustrates the use of sentiment analysis in the domain of clinical medicine, it is proved to be extremely helpful, assisting in the investigation of some highly important and even previously unexplored issues. Conclusion: Since pregnant women express their thoughts and feelings more openly than ever before, sentiment analysis is becoming an essential tool to monitor and understand that sentiment. Given the vast knowledge sentiment analysis has already offered, further studies employing this technique are expected in the future.
INTRODUCTION The aim of this systematic review was to examine studies describing the association of cognitive representations with psychological adjustment or maladjustment during the experience of infertility and its treatment in light of the Common-Sense Model. According to this theoretical model cognitive perceptions about an illness can be associated with emotional adaptation. METHODS A systematic search of four electronic databases (PubMed, APA PsycINFO, SCOPUS, ScienceDirect) was performed. This review considered only quantitative, primary studies in the English language without geographical limitations, published during the period 1996-2020 and relevant to the objective. The population of interest was infertile individuals who are having or not having infertility treatment. Only studies that examined the association between independent variables, such as perceived causes, timeline, controllability, consequences, symptoms, illness coherence and emotional representations, with psychological variables, such as anxiety, worry, distress, depression and well-being, were included. Two authors performed an independent extraction of articles using predefined data fields. Relevant articles were critically appraised and a narrative synthesis was conducted. RESULTS Seven cross-sectional studies met the inclusion and methodological criteria and were included in the review. The review results revealed that all components of cognitive representations of infertility and its treatment may correlate with psychological adaptation of people who deal with a fertility problem, at intrapersonal and interpersonal level. CONCLUSIONS This systematic review suggested that the Common-Sense Model is an appropriate theoretical model to be applied in the experience of infertility and health professionals can make interventions based on modifying cognitive perceptions of a fertility problem that may increase levels of psychological well-being and decrease levels of distress.
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