Journal of evaluation in clinical practice
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Though it is crucial to contribute to patient recovery through access, diversity, continuity and regularity of outpatient care, still today most of these are deemed nonoptimal. Identifying patient profiles based on outpatient service use and quality of care indicators might help formulate more personalized interventions and reduce adverse outcomes. ⋯ Intensity, diversity and regularity of care were higher in profiles with more complex MDs, chronic physical illnesses, and worse perceived health conditions. Adapting specific interventions for each profile, such as assertive community treatment or intensive case management for Profile 4, is recommended.
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Evaluating future nurses' perspectives on artificial intelligence, determining their missing or incorrect information on the subject and determining their anxiety levels are of great importance in terms of providing science and technology-based health services in the future. ⋯ In the study, it was determined that the artificial intelligence anxiety levels of nursing students were high. It has been determined that students with negative feelings about artificial intelligence have higher artificial intelligence anxiety levels. Our suggestion; adding courses or subjects related to artificial intelligence to the university curriculum and starting to include nurses in the working processes during their student years.