RESUMO
BACKGROUND: As Artificial Intelligence and social robots are increasingly used in health and social care, it is imperative to explore the training needs of the workforce, factoring in their cultural background. OBJECTIVES: Explore views on perceived training needs among professionals around the world and how these related to country cultures. DESIGN: Cross-sectional, descriptive, mixed-methods international online survey. METHODS: Descriptive statistical analysis explored the ranking across countries and relationships with three Hofstede cultural dimensions. Thematic analysis was conducted on the open-ended text responses. RESULTS: A sample of N = 1284 participants from eighteen countries. Knowing the capabilities of the robots was ranked as the top training need across all participating countries and this was also reflected in the thematic analysis. Participants' culture, expressed through three Hofstede's dimensions, revealed statistically significant ranking differences. CONCLUSIONS: Future research should further explore other factors such as the level of digital maturity of the workplace. IMPACT STATEMENT: Training needs of health and social care staff to use robotics are fast growing and preparation should factor in patient safety and be based on the principles of person- and culture-centred care.
Assuntos
Robótica , Humanos , Inteligência Artificial , Estudos Transversais , Pessoal de Saúde , CulturaRESUMO
AIM: This study aimed to explore single mothers' self-assessed level of health status compared to partnered mothers and the relevant factors associated with it. BACKGROUND: The number of single-mother families is increasing worldwide. A large body of international research reveals that single mothers experience poorer physical and mental health than their married counterparts. An important contributory factor for this health disparity appears to be socio-economic disadvantage. METHODS: A systematic search of the literature was conducted using the keywords 'lone' or 'single' and 'mother*' or 'parent*' or 'family structure' in combination with 'health'. EMBASE, CINAHL, COCHRANE and PUBMED databases were searched for quantitative research studies published in the past decade. RESULTS: Eleven quantitative research articles with self-assessment of health status in single mothers were identified. Single mothers report lower levels of health status compared to partnered mothers. These inequalities appear to be associated with financial hardship and lack of social support. Both these factors increase single mothers' susceptibility to stress and illness. CONCLUSION: Despite the study limitations (e.g. results based mainly on secondary data from household surveys), it provides evidence that single motherhood places women in an adverse social position that is associated with prolonged stress mainly due to unemployment, economic hardship and social exclusion, which affects negatively their health status. These findings can be seen as a challenge for health professionals, especially those working in the community sector and policy makers too, to establish supportive measures for this vulnerable group focused on socio-economic factors.