RESUMO
Purpose: Artificial intelligence (AI) technology is being rapidly adopted into many different branches of medicine. Although research has started to highlight the impact of AI on health care, the focus on patient perspectives of AI is scarce. This scoping review aimed to explore the literature on adult patients' perspectives on the use of an array of AI technologies in the health care setting for design and deployment. Methods: This scoping review followed Arksey and O'Malley's framework and Preferred Reporting Items for Systematic Reviews and Meta-Analysis for Scoping Reviews (PRISMA-ScR). To evaluate patient perspectives, we conducted a comprehensive literature search using eight interdisciplinary electronic databases, including grey literature. Articles published from 2015 to 2022 that focused on patient views regarding AI technology in health care were included. Thematic analysis was performed on the extracted articles. Results: Of the 10,571 imported studies, 37 articles were included and extracted. From the 33 peer-reviewed and 4 grey literature articles, the following themes on AI emerged: (i) Patient attitudes, (ii) Influences on patient attitudes, (iii) Considerations for design, and (iv) Considerations for use. Conclusions: Patients are key stakeholders essential to the uptake of AI in health care. The findings indicate that patients' needs and expectations are not fully considered in the application of AI in health care. Therefore, there is a need for patient voices in the development of AI in health care.
RESUMO
BACKGROUND: Fatigue and sleep disturbance are common co-occurring symptoms in patients receiving chemotherapy. While the results from meta-analyses support the use of exercise to decrease the severity of these symptoms, information is needed on patients' "real world experiences" with the use of exercise. OBJECTIVE: The aims of this study were to determine distribution of patients who did and did not exercise on a regular basis and evaluate for differences in demographic and clinical characteristics, as well as the severity of fatigue, decrements in energy, and sleep disturbance among the exercise groups. METHODS: Patients (n = 1033) completed self-report questionnaires prior to their second or third cycle of chemotherapy. Patients were categorized into 3 exercise (Ex) groups (ie, NoEx, <150 min/wk [LessEx]; ≥150 min/wk [RecEx]). Differences among the groups were evaluated using parametric and nonparametric tests. RESULTS: Only 19.1% of the patients were in the RecEx group. Patients in the NoEx group (37.2%) had fewer years of education, were more likely to be non-White and unemployed, had a higher body mass index, and a worse comorbidity profile. Patients in the NoEx group had higher levels of morning fatigue, lower levels of morning and evening energy, and higher levels of sleep disturbance. CONCLUSIONS: Findings from this real-world study suggest that lack of physical activity is associated with higher levels of fatigue and sleep disturbance. IMPLICATIONS FOR PRACTICE: Given that the most frequently used intervention in this study was walking, clinicians can recommend this inexpensive intervention to patients to manage fatigue and sleep disturbance.
