The history of social medicine in Italy between the late nineteenth and early twentieth centuries was characterised by a marked presence of gender and the consequent commitment of women of Jewish origin to the issues of early childhood education, as well as safeguarding of work and motherhood and health prevention with regard to social and cultural fragility. Some of the roles of women engaged in social medicine campaigns have been widely studied in the historiography of medicine, having recognized their roles and commitment to attempting to create a fair society through their expertise in medicine and health. However, there are some biographies and professional lives that are still unpublished and worthy of attention by historical medical research. Lucia Servadio, who was of Jewish origin (1900-2006), was the youngest Italian doctor of the first twenty years of the twentieth century. She successfully worked, despite the degrading identification of women at the time, in the field of medicine and welfare, thanks to her qualified professional, cultural and social commitment. Dr Servadio's professionalism was constantly defined by a vision of health as a right that the doctor must protect by pursuing the goal of social equity. Precisely on the basis of these principles, solidified by the practical and social activism of women's groups of the time, Dr Servadio's professional and private life was continuously shaped between medicine and social activism. However, her story is also pervaded by the ambiguity of the role played by women, often highly educated and with considerable professional standing, engaged in forms of scientific intellectual collaboration of a conjugal nature.
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http://dx.doi.org/10.1177/09677720231191518 | DOI Listing |
J Pediatr Nurs
January 2025
Department of Nursing, School of Health Rehabilitation Sciences, University of Patras, Nikolaou Gizi 4, Patras, Greece.
Background: People with cerebral palsy are largely dependent on their caregivers, who are most often members of their family. Caring for people with disabilities can be challenging as both dependents and caregivers face problems of social isolation and stigmatization.
Aim: The aim of this study was to understand the experiences of caregivers of dependents with cerebral palsy in Greece.
Annu Rev Clin Psychol
January 2025
3Department of Psychology, Stony Brook University, Stony Brook, New York, USA.
Most people with mental health needs cannot access treatment; among those who do, many access services only once. Accordingly, single-session interventions (SSIs) may help bridge the treatment gap. We conducted the first umbrella review synthesizing research on SSIs for mental health problems and service engagement in youth and adults.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Division of Surgery & Interventional Science, Faculty of Medical Sciences, University College London, London, United Kingdom.
Background: The literature is equivocal as to whether the predicted negative mental health impact of the COVID-19 pandemic came to fruition. Some quantitative studies report increased emotional problems and depression; others report improved mental health and well-being. Qualitative explorations reveal heterogeneity, with themes ranging from feelings of loss to growth and development.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Tobacco Settlement Endowment Trust Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences, Oklahoma City, OK, United States.
Background: Social behavioral research studies have increasingly shifted to remote recruitment and enrollment procedures. This shifting landscape necessitates evolving best practices to help mitigate the negative impacts of deceptive attempts (eg, fake profiles and bots) at enrolling in behavioral research.
Objective: This study aimed to develop and implement robust deception detection procedures during the enrollment period of a remotely conducted randomized controlled trial.
JMIR Med Inform
January 2025
Institute of History and Ethics in Medicine, School of Medicine and Health, Technical University of Munich, Munich, Germany.
Background: In data-sparse areas such as health care, computer scientists aim to leverage as much available information as possible to increase the accuracy of their machine learning models' outputs. As a standard, categorical data, such as patients' gender, socioeconomic status, or skin color, are used to train models in fusion with other data types, such as medical images and text-based medical information. However, the effects of including categorical data features for model training in such data-scarce areas are underexamined, particularly regarding models intended to serve individuals equitably in a diverse population.
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