ABSTRACT
Objective: This study aims to evaluate the efficacy of integrating nursing early warning systems with doula-assisted childbirth nursing on natural childbirth rates and associated outcomes. Methods: A total of 150 women who underwent childbirth in the obstetrics and gynecology department of our hospital between September 2021 and March 2023 were enrolled as participants. They were randomly allocated into either the observation group or the control group, each comprising 75 individuals. The control group received standard nursing care, while the observation group received nursing early warning systems combined with doula-assisted childbirth nursing. Comparison between the two groups included modes of childbirth, the intensity of childbirth pain, neonatal Apgar scores, the incidence of postpartum hemorrhage, duration of the first and second stages of labor, and maternal satisfaction with nursing care. Results: Our findings indicated a higher natural childbirth rate in the observation group compared to the control group (P < .05). Furthermore, the SAS score of the observation group post-nursing was significantly lower than that of the control group. Additionally, neonates in the observation group exhibited higher Apgar scores compared to those in the control group. Moreover, mothers who underwent natural childbirth in the observation group experienced lower childbirth pain scores and reduced postpartum hemorrhage incidence (P < .05). The duration of both the first and second stages of childbirth was shorter in the observation group than in the control group. Furthermore, overall satisfaction with care was significantly higher in the observation group than in the control group, with a statistically significant difference (P < .05). Conclusions: This study underscores the effectiveness of implementing nursing early warning systems combined with doula-assisted nursing in enhancing maternal satisfaction, reducing postpartum hemorrhage, and improving maternal well-being and neonatal outcomes. The findings advocate for the widespread adoption of this intervention in clinical practice.
ABSTRACT
OBJECTIVE: The objective of this study is to clarify the correlation between uncertainty tolerance (UT) and positive acceptance (PA) in patients with cervical cancer (CC) after surgical treatment. METHODS: A total of 233 patients with CC who had undergone surgery were included and were scored on the UT Scale and Positive Acceptance Scale. In addition, patients were classified according to the length of stay ≥1 week and length of stay <1 week, and the UT score and satisfaction and enterprising score of the two groups were compared. This was performed in order to analyze the effect of length of hospital stay on UT and PA. RESULTS: The mean UT score of 233 patients was 3.74±0.34 and the mean PA score was 1.96±0.20, with a negative correlation and a significant correlation coefficient (r=-0.342, P 0.05). The UT score of post-operative CC patients with length of stay ≥1 week was significantly higher than that of patients with length of stay <1 week, P<0.05. The score of PA in patients with post-operative CC whose hospital stay was ≥1 week was significantly lower than for patients with hospital stays <1 week (P<0.05). UT was negatively correlated with PA in patients with hospital stays < 1 week (r=-0.358, P<0.05). There was a significant negative correlation between UT and PA in patients with hospital stay ≥1 week (r =-0.493, P<0.05). Increased hospitalization time correlated with increased scores of UT, with reductions in scores of PA. CONCLUSION: Post-operative patients with CC had higher scores of UT and lower scores of PA, which were negatively correlated. Increased hospitalization time was linked to a detriment in patient UT and reduced PA. Targeted interventions to improve the level of UT and PA within postoperative CC cases should be developed.
