Objective: To describe the experiences of partners accompanying pregnant women during a caesarean section and to identify factors which influence the experiences.
Methods: It is a prospective, single-center, observational study which included all partners of women who underwent a planned or an unplanned caesarean section in a maternity hospital during a two months period (1st November 2020 - 1st January 2021). The outcome was evaluated by a standardized questionnaire: the first-time father questionnaire (FTFQ) (1). Univariate and multivariate analyses were carried out to evaluate the factors associated with the results of the FTFQ.
Results: A total of 100 partners were included in the study. Partners were generally satisfied with their attendance at the caesarean section, with 91 % claiming a good experience of it and expressed a willingness to repeat the experience. The partners were satisfied with the support provided by the medical team and with their accompaniment (79 %). Most partners were reassured and guided by health professionals when necessary (61 %). Nevertheless, partner anxiety was common (50 %) throughout the procedure. Only one factor was significantly associated with a decreased partner satisfaction: transfer of the newborn to the intensive care or neonatology unit (p = 0.04).
Conclusion: Almost all partners were satisfied to be in the operating room for a cesarean section regardless of the type of caesarean (planned and unplanned). Partner satisfaction should be considered by maternity staff as a relevant factor in their decision to accept or refuse the partner's presence in the operating room during the cesarean section.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.jogoh.2024.102885 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Simulation training with haptic feedback of instrument vibrations reduces resident workload during live robot-assisted sleeve gastrectomy.
Surg Endosc
December 2024
Department of Mechanical Engineering and Applied Mechanics, University of Pennsylvania, Philadelphia, USA.
Background: New surgeons experience heavy workload during robot-assisted surgery partially because they must use vision to compensate for the lack of haptic feedback. We hypothesize that providing realistic haptic feedback during dry-lab simulation training may accelerate learning and reduce workload during subsequent surgery on patients.
Methods: We conducted a single-blinded study with 12 general surgery residents (third and seventh post-graduate year, PGY) randomized into haptic and control groups.
Multispectral Integrated Black Arsenene Phototransistors for High-Resolution Imaging and Enhanced Secure Communication.
ACS Nano
December 2024
State Key Laboratory of Infrared Physics, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, 500 Yu-Tian Road, Shanghai 200083, China.
The demand for broadband, room-temperature infrared, and terahertz (THz) detectors is rapidly increasing owing to crucial applications in telecommunications, security screening, nondestructive testing, and medical diagnostics. Current photodetectors face significant challenges, including high intrinsic dark currents and the necessity for cryogenic cooling, which limit their effectiveness in detecting low-energy photons. Here, we introduce a high-performance ultrabroadband photodetector operating at room temperature based on two-dimensional black arsenene (b-As) nanosheets.
View Article and Find Full Text PDFObjective: The purpose of this study is to conduct a follow up analysis comparing operational and quality measures of the pre-residency period with those of a mature program comprised of a full cohort of 15 residents, with 3 residents in each post graduate year (PGY) 1-5.
Design: A retrospective review of 25,900 surgeries performed by the general, breast, plastics, thoracic, and vascular services at a single regional medical center was performed and surgeries were classified as pre-residency period and residency period. Independent variables included patient demographics, comorbidity burden, emergency department arrivals, and outcomes of interest included daily elective case volume, the percent of cases performed during 'off-hours' (defined as 7p-7a), operating room (OR) and procedure minutes, average length of stay (LOS), average total hospital charges, rates of 30-day return to OR (ROR), ED visits, and readmissions, and patient satisfaction.
Cost of Carbon in the Total Cost of a Healthcare Procedure: Example of Micro-Costing Study in a French Setting.
Appl Health Econ Health Policy
December 2024
CHU Dijon Bourgogne, Inserm, Université de Bourgogne, CIC 1432, Module Épidémiologie Clinique, 7 bd Jeanne d'Arc, BP 87900, 21000, Dijon, France.
Background: Economic evaluation aims to compare the costs and results of health strategies to inform public decision making. Although sometimes suggested, until now no national evaluation agency has recommended formally incorporating the cost of greenhouse gas (GHG) emissions generated by health interventions into the estimation of healthcare costs.
Objective: The objective of this study was to test and discuss the feasibility of estimating and including the contribution of GHG emissions cost to the total cost of a surgical intervention, with the example of robot-assisted total knee arthroplasty (RTA), using a micro-costing approach.
The influencing of obesity on lung ventilation function among middle-aged and elderly people.
Sci Rep
December 2024
Peking University School of Nursing, 38 Xueyuan Road, Haidian District, Beijing, China.
This study examined the effect of obesity on lung ventilation function in middle-aged and older adults using data from the China Health and Retirement Longitudinal Study. Lung function was measured using peak expiratory flow, and obesity was assessed using waist circumference and body mass index (BMI). Logistic regression and the bivariate logit model were applied to analyze the data.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!