Possible Health Benefits and Risks of DeepFake Videos: A Qualitative Study in Nursing Students.

BACKGROUND: "DeepFakes" are synthetic performances created by AI, using neural networks to exchange faces in images and modify voices. OBJECTIVE: Due to the novelty and limited literature on its risks/benefits, this paper aims to determine how young nursing students perceive DeepFake technology, its ethical implications, and its potential benefits in nursing. METHODS: This qualitative study used thematic content analysis (the Braun and Clarke method) with videos recorded by 50 third-year nursing students, who answered three questions about DeepFake technology. The data were analyzed using ATLAS.ti (version 22), and the project was approved by the Ethics Committee (code UCV/2021-2022/116). RESULTS: Data analysis identified 21 descriptive codes, classified into four main themes: advantages, disadvantages, health applications, and ethical dilemmas. Benefits noted by students include use in diagnosis, patient accompaniment, training, and learning. Perceived risks include cyberbullying, loss of identity, and negative psychological impacts from unreal memories. CONCLUSIONS: Nursing students see both pros and cons in DeepFake technology and are aware of the ethical dilemmas it poses. They also identified promising healthcare applications that could enhance nurses' leadership in digital health, stressing the importance of regulation and education to fully leverage its potential.

Impact of Family Function on the Quality of Life and Health Perception of Non-Institutionalized Dementia Patients.

BACKGROUND: Dementia is one of the pathologies that has increased the most among the older population (mainly Alzheimer's disease), and it has a direct impact on the quality of life (QoL), cognitive performance, and health of these patients. Family functionality can play a role in this QoL if these patients are not institutionalized. OBJECTIVE: To analyze the role of family function in the QoL and health perception of non-institutionalized dementia patients, as well as related variables such as anxiety, depression, optimism, or pessimism. METHODS: Cross-sectional study with a sample of 54 patients diagnosed with some type of dementia, non-institutionalized, or in outpatient care, from different centers in the province of Valencia (Spain). The EQ-5D, MMSE, Apgar Family or general health, and Goldberg anxiety and depression questionnaires were utilized. RESULTS: The correlation of the Apgar Family with the General Health Questionnaire-new onset problems variable (GHQ) and Chronicity and General Health Questionnaire-chronic problems (CGHQ) of the Goldberg Quality of Life questionnaire was statistically significant and negative (GHQ r = -0.310; p = 0.034. CGHQ r = -0.363; p = 0.012); as well as between Apgar Family and Anxiety-Depression (r = -0.341; p = 0.020). The correlation of the Apgar Family with the Life Orientation Test-Pessimism variable (LOT) was statistically significant and negative (r = -0.270; p = 0.061). Finally, severe dysfunction of Apgar Family has a negative correlation with self-perception of health (p = 0.036 B = -16.589) determined by the Visual Analogue Scale (VAS). CONCLUSION: Family functionality directly influences anxiety, depression, optimism, and pessimism. This could explain why family function is related to the QoL of patients and their self-perception of health.