Effect of Nursing Care Guided by Roy’s Adaptation Model on Self-Evaluation of Women After Caesarean Section

Postpartum caesarean section is a critical time in the women life. During that time, the women need physical and psychological care as well as guidance for healthy practices for their health and newborns.  Aim: The study aimed to assess the effect of nursing care guided by Roy’s adaptation model on self-evaluation of women after caesarean section. Methods: A quasi-experimental design with pre and post-test was utilized.  Sample: A purposive sample of 60 women after caesarean section. Setting: The study was carried out at University and Teaching Hospital at Shebin El-Kom. instruments: An interviewing questionnaire,  postpartum follow-up form and post-partum self-evaluation questionnaire Results: There was a highly statistically significant improvement in the post intervention than the pre intervention regarding of puerperium problems and adaptation after cesarean section after implementation of Roy’s adaptation model (P < 0.001) Conclusions: The implementation of Roy’s adaptation model assisted  in stopping the majority of puerperium issues after cesarean section. The difference between most complaints was found to be statistically significant (p < 0.05; p < 0.001) during the week of data collection. Recommendations: Roy’s adaptation model will be helpful if included incorporated as essential part of routine postpartum care. Keywords: Roy’s adaptation model, caesarean section, self-evaluation of women after caesarean section DOI: 10.7176/JHMN/67-05 Publication date:October 31st 2019

SARS-CoV-2 vaccination modelling for safe surgery to save lives: data from an international prospective cohort study

Background: Preoperative SARS-CoV-2 vaccination could support safer elective surgery. Vaccine numbers are limited so this study aimed to inform their prioritization by modelling. Methods: The primary outcome was the number needed to vaccinate (NNV) to prevent one COVID-19-related death in 1 year. NNVs were based on postoperative SARS-CoV-2 rates and mortality in an international cohort study (surgical patients), and community SARS-CoV-2 incidence and case fatality data (general population). NNV estimates were stratified by age (18-49, 50-69, 70 or more years) and type of surgery. Best- and worst-case scenarios were used to describe uncertainty. Results: NNVs were more favourable in surgical patients than the general population. The most favourable NNVs were in patients aged 70 years or more needing cancer surgery (351; best case 196, worst case 816) or non-cancer surgery (733; best case 407, worst case 1664). Both exceeded the NNV in the general population (1840; best case 1196, worst case 3066). NNVs for surgical patients remained favourable at a range of SARS-CoV-2 incidence rates in sensitivity analysis modelling. Globally, prioritizing preoperative vaccination of patients needing elective surgery ahead of the general population could prevent an additional 58 687 (best case 115 007, worst case 20 177) COVID-19-related deaths in 1 year. Conclusion: As global roll out of SARS-CoV-2 vaccination proceeds, patients needing elective surgery should be prioritized ahead of the general population