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Introduction
Many studies highlight the importance of family support in enhancing the experience of childbirth among women.
Objective
This qualitative study aimed to describe the lived experience of family support from the perspective of women during and after childbirth in the Jordanian context
Methods
A qualitative descriptive phenomenological...
Citations
... By contrast, primiparous women with unplanned pregnancies often encounter numerous challenges, such as emotional isolation due to insufficient spousal and family support [50] and psychological conflict and stress arising from abrupt role transitions [45], all of which may increase the risk of psychological birth trauma. Therefore, healthcare providers should focus particularly on primiparous women with unplanned pregnancies and actively involve family members in prenatal education and support to alleviate women's feelings of emotional isolation [51]. Additionally, medical professionals should disseminate scientific preconception knowledge to young couples and emphasize the benefits of planned pregnancy for maternal and infant health to reduce the risk of psychological birth trauma in primiparous women [52]. ...
Objective
Accurately identifying the key influencing factors of psychological birth trauma in primiparous women is crucial for implementing effective preventive and intervention measures. This study aimed to develop and validate an interpretable machine learning prediction model for identifying the key influencing factors of psychological birth trauma in primiparous women.
Methods
A multicenter cross-sectional study was conducted on primiparous women in four tertiary hospitals in Sichuan Province, southwestern China, from December 2023 to March 2024. The Childbirth Trauma Index was used in assessing psychological birth trauma in primiparous women. Data were collected and randomly divided into a training set (80 %, n = 289) and a testing set (20 %, n = 73). Six different machine learning models were trained and tested. Training and prediction were conducted using six machine learning models included Linear Regression, Support Vector Regression, Multilayer Perceptron Regression, eXtreme Gradient Boosting Regression, Random Forest Regression, and Adaptive Boosting Regression. The optimal model was selected based on various performance metrics, and its predictive results were interpreted using SHapley Additive exPlanations (SHAP) and accumulated local effects (ALE).
Results
Among the six machine learning models, the Multilayer Perceptron Regression model exhibited the best overall performance in the testing set (MAE = 3.977, MSE = 24.832, R² = 0.507, EVS = 0.524, RMSE = 4.983). In the testing set, the R² and EVS of the Multilayer Perceptron Regression model increased by 8.3 % and 1.2 %, respectively, compared to the traditional linear regression model. Meanwhile, the MAE, MSE, and RMSE decreased by 0.4 %, 7.3 %, and 3.7 %, respectively, compared to the traditional linear regression model. The SHAP analysis indicated that intrapartum pain, anxiety, postpartum pain, resilience, and planned pregnancy are the most critical influencing factors of psychological birth trauma in primiparous women. The ALE analysis indicated that higher intrapartum pain, anxiety, and postpartum pain scores are risk factors, while higher resilience scores are protective factors.
Conclusions
Interpretable machine learning prediction models can identify the key influencing factors of psychological birth trauma in primiparous women. SHAP and ALE analyses based on the Multilayer Perceptron Regression model can help healthcare providers understand the complex decision-making logic within a prediction model. This study provides a scientific basis for the early prevention and personalized intervention of psychological birth trauma in primiparous women.
... Further supporting these findings, Gul et al. (2018) demonstrated that social support has a positive effect on the QoL of pregnant women, underscoring its role in enhancing overall well-being during pregnancy. Ababneh et al. (2024) observed that most Jordanian women received sufficient levels of support from their husbands, families, and friends during pregnancy, indicating a supportive social environment that potentially contributes to positive maternal health outcomes. ...
Introduction
Pregnant women require social support and healthcare treatments that are specifically designed to address their quality of life (QoL) during this time, as this will help them get through this crucial stage with more resilience and comfort.
Objective
This study aimed to assess the relationship between the QoL of pregnant women and social support.
Methods
A cross-sectional study was conducted involving 423 pregnant women. Data were gathered through the SF-36 scale and the “Multidimensional Scale of Perceived Social Support” in the period of June 1 to September 1, 2023.
Results
The physical health level was moderate (M = 46.22 ± 16.1), and the mental health level was also moderate (M = 46.12 ± 21.8). Social support was rated high (M = 5.3 ± 1.0), with the highest score in the significant other subscale (M = 5.9 ± 1.2) and the lowest in the friend's subscale (M = 4.4 ± 1.6). Furthermore, the analysis revealed a significant positive association between the QoL scores and social support (p < .05).
Conclusions
The study confirmed that Palestinian pregnant women had a moderate level of QoL and a high level of perceived social support. Additionally, it established a significant small positive relationship between the QoL scores and social support among pregnant women.
This study aimed to examine the relationship between psychological well-being, spiritual well-being, and health-related quality of life (HRQOL) among patients with coronary artery disease. A descriptive correlational design and a convenience sampling method were adopted and data were collected from 401 patients
suffering from coronary artery disease who were treated in outpatient clinics in government, private, and educational health sectors from June 2022 to September 2022. Findings demonstrated that participants reported low and moderate levels of psychological and spiritual well-being, and high HRQOL. A significant
positive correlation was demonstrated between HRQOL and income, educational level, psychological wellbeing, and spiritual well-being. Income, psychological well-being, and spiritual well-being were the main predictors for HRQOL. Thus, this study could help policymakers, hospital administrators, and healthcare professionals develop proper strategies and programs to promote psychological and spiritual well-being, which influence patients’ treatment outcomes and increase their HRQOL.
