Motivations Influencing the Surgeon’s Healthcare Unit Choice to Perform Surgery: A Confirmatory Study in Portugal

Abstract

Quality surgical practice is a fundamental subject in health institutions, and it is important to understand the structural and organizational conditions of the operating room (OR). The present exploratory study sought to understand the motivations that underlie the choice of surgeons for the best healthcare unit to perform surgery, as well as the characteristics of those professionals regarding age, years of work experience, and sex. A questionnaire survey was administered to a convenience sample of 99 surgeons, 67.3% male and 32.7% female, aged 37 to 66 (M = 23.7; Std = 8.92). The results show that at the top of the surgeons' motivations to perform surgery is the 77.8% attributed to the human resources and equipment available and at the other extreme the 3% to the previous online visit to facilities. This study opens important clues to the development of more in-depth and comparative approaches, necessary for the continuous improvement of the healthcare provided in the context of surgical practice.

For a Healthy (and) Higher Education: Evidences from Learning Outcomes in Health Sciences

“…Despite a large consensus on necessary changes in healthcare education, most authors, such as Skochelak and Stack [24], agree that the gap between how health students are trained and the future needs of the health care system continues. According to Simões et al [25], it is essential to humanize medical education and to deconstruct the image of a profession merely related to social prestige and financial return, with medical students being those who most value the social prestige and the economic components of the profession [26]. Increased recognition of LO-or competency-based education has evolved across health professions' education and training arenas [27].…”

Development and validation of a nursing instrument for triage in occupational health services

“…The internal consistency reliability was assessed by the Cronbach's coefficient alpha (a) and by the Pearson correlations among dimensions extracted by the factor analysis. These steps are described in the literature as the common use to validate instruments (Bonato et al, 2020;Nora et al, 2020;Oliveira et al, 2019;Viterbo et al, 2020). All statistical tests were performed by IBM® SPSS® Statistics vs.25.0 (IBM Corporation, 2018).…”