Risks of Ecosystems’ Degradation: Portuguese Healthcare Professionals’ Mental Health, Hope and Resilient Coping DOI Open Access
Rute F. Meneses, Carla Barros, Hélder Fernando Pedrosa e Sousa

и другие.

Sustainability, Год журнала: 2024, Номер 16(12), С. 5123 - 5123

Опубликована: Июнь 16, 2024

Healthcare professionals constantly face situations that reflect ecosystems’ degradation. These can negatively affect their mental health. Research suggests hope and resilience play an important role in this scenario, since they are related to/predict health highly heterogeneous samples (considering geography, age, profession, health, etc.). In context, the aims of present study following: to characterize explore relationship between hope, resilient coping Portuguese healthcare professionals. Using Google Forms, 276 answered GHQ-28, (adult) Trait Hope Scale, Brief Resilient Coping Scale (retrospective, analytical observational, cross-sectional, descriptive correlational research design). The minimum maximum possible scores were reached, with exception score GHQ-28-Total. Regarding Hope, 19.6% scored below midpoint (M = 43.46, SD 11.97); 29.3% revealed low 14.93, 4.05); average four five Mental Health (exception: Severe depression) indicates probability a psychiatric case. correlated Social dysfunction GHQ-28-Total; proved be (weak) predictor GHQ-28 indicators depression). results support need promote sample’s coping. They also suggest stimulating may contribute improving professionals’ Prior (e.g., on therapies enhance and, thus, health), which current contributes, supports optimism towards necessary internal sustainability transition.

Язык: Английский

“We were left to our own devices”: Midwives’ experiences of providing maternity care to Ukrainian women in Poland after the outbreak of the full-scale war in Ukraine DOI Creative Commons
Ilona Nenko, Barbara Baranowska, Beata Szlendak

и другие.

Women and Birth, Год журнала: 2024, Номер 37(4), С. 101629 - 101629

Опубликована: Июнь 19, 2024

After the outbreak of full-scale war in Ukraine, about 2 million people sought protection Poland. Providing high-quality care for migrants and refugees, especially times significant arrivals, can be particularly challenging.

Язык: Английский

Процитировано

3
Risks of Ecosystems’ Degradation: Portuguese Healthcare Professionals’ Mental Health, Hope and Resilient Coping DOI Open Access
Rute F. Meneses, Carla Barros, Ana Isabel Sani

и другие.

Опубликована: Фев. 26, 2024

Healthcare professionals constantly face situations that reflect ecosystems’ degradation. These can negatively affect their mental health. Research suggests hope and resilience play an important role in this scenario, since they are related to/predict health highly heterogeneous samples (considering geography, age, profession, health, etc.). In context, the aims of present study are: to characterize explore relationship between hope, resilient coping Portuguese healthcare professionals. Using Google Forms, 276 answered GHQ-28, (adult) Trait Hope Scale, Brief Resilient Coping Scale (cross-sectional study). The minimum maximum possible scores were reached, with exception score GHQ-28-Total. Regarding Hope, 19.6% scored below midpoint (M=43.46, SD=11.97); 29.3% revealed low (M=14.93, SD=4.05); average 4 5 Mental Health (exception: Severe Depression) indicates probability a psychiatric case. correlated Social Dysfunction GHQ-28-Total; proved be (weak) predictor GHQ-28 indicators depression). results support need promote sample's coping. They also suggest stimulating may contribute improving professionals’

Язык: Английский

Процитировано

1
PSYCHOSOCIAL RISKS AND SILENT RESIGNATION IN NURSES DURING PANDEMIC: A LITERATURE REVIEW DOI Creative Commons

Carla Queijo Couto,

Natalia María Rodríguez Canle

Опубликована: Июль 1, 2023

Introduction: With COVID-19 pandemic, the labor market suffered a big change worldwide, with nurse's area being one of most affected, especially in what refers to great resignation.The aim this study is make visible need take measures psychosocial risks by nurses through an analysis harm they entail and possible prevention actions.Method: They have been identified narrative review different official reports surveys from several medical centers around world, as well scientific articles on topics related during using PUBMED, Web Science Scopus.Results: Results show rising dissatisfaction high levels which exposed.90% surveyed considered leaving profession 40% assure that are experiencing serious health problems such anxiety or depression.Studies indicate efforts should be made at organizational level ensure emotional care nurses.There recommended support initiatives for accessibity mental resources facilitate greater personal connections.Conclusion: Lack assessment valid reliable tools condition effective preventive resources.Planification must imposed replace perceptions protocols objectify dangers present socio-sanitary environment.

Язык: Английский

Процитировано

1
Automated Detection of Autism Spectrum Disorder Symptoms using Text Mining and Machine Learning for Early Diagnosis DOI Open Access
Mihaela Chistol, Mirela Danubianu

International Journal of Advanced Computer Science and Applications, Год журнала: 2024, Номер 15(2)

Опубликована: Янв. 1, 2024

Autism spectrum disorder (ASD) is a neurological condition whose etiology still insufficiently understood. The heterogeneity of manifestations makes the diagnosis process difficult. Thus, many children are diagnosed too late, which leads to loss precious time that can be used for therapy. A viable solution could equip medical staff with modern technologies detect autism in its early stages. objective this research was investigate, through empirical means, how text mining and machine learning (ML) algorithms aid ASD by identifying patterns symptoms data regarding children’s behavior concerned parents provided. involved design an innovative technical based on identification unstructured describing practical implementation using Rapid Miner. dataset created controlled experiment 44 participants, ASD, who answered questions about their (35 boys 9 girls) behavior. Analysis performance models trained ML algorithms: Naïve Bayes, K-Nearest Neighbors, Deep Learning Random Forest revealed Neighbors classifier outperformed other methods, achieving highest accuracy 78.69%. Results obtained demonstrated feasibility parents’ narratives develop predictive detection. achieved highlights potential as autonomous time- cost-effective method children.

Язык: Английский

Процитировано

0
Risks of Ecosystems’ Degradation: Portuguese Healthcare Professionals’ Mental Health, Hope and Resilient Coping DOI Open Access
Rute F. Meneses, Carla Barros, Hélder Fernando Pedrosa e Sousa

и другие.

Sustainability, Год журнала: 2024, Номер 16(12), С. 5123 - 5123

Опубликована: Июнь 16, 2024

Healthcare professionals constantly face situations that reflect ecosystems’ degradation. These can negatively affect their mental health. Research suggests hope and resilience play an important role in this scenario, since they are related to/predict health highly heterogeneous samples (considering geography, age, profession, health, etc.). In context, the aims of present study following: to characterize explore relationship between hope, resilient coping Portuguese healthcare professionals. Using Google Forms, 276 answered GHQ-28, (adult) Trait Hope Scale, Brief Resilient Coping Scale (retrospective, analytical observational, cross-sectional, descriptive correlational research design). The minimum maximum possible scores were reached, with exception score GHQ-28-Total. Regarding Hope, 19.6% scored below midpoint (M = 43.46, SD 11.97); 29.3% revealed low 14.93, 4.05); average four five Mental Health (exception: Severe depression) indicates probability a psychiatric case. correlated Social dysfunction GHQ-28-Total; proved be (weak) predictor GHQ-28 indicators depression). results support need promote sample’s coping. They also suggest stimulating may contribute improving professionals’ Prior (e.g., on therapies enhance and, thus, health), which current contributes, supports optimism towards necessary internal sustainability transition.

Язык: Английский

Процитировано

0