The satisfaction for the care receveid following the diagnosis of acute linfoblastic leukemia in the Pediatric Division of the San Gerardo Hospital of Monza was explored with a questionnaire to the families of patients diagnosed from January 1984. 217 questionnaires were returned (59.2%); 67% were completed by both parents. Parents expressed overall a very high satisfaction for several areas of care: 93.8% for the information about diagnosis; 83% approved the use of the word "leukemia". Judgements on technical competence and communication skills of the health care professionals were analyzed separately for hospitalized and day-hospital patients, and for survivors and dead: results were highly positive for both groups. The expected higher of missing data for the questions related to satisfaction for communication on relapses, highlights the difficulty and the emotional load of the question. Data were discussed by the health care team as well as parents in order to obtain a feedback and practical suggestions for further improvement of care.
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J Am Assoc Nurse Pract
January 2025
Division of Cardiology, Department of Medicine, Duke Health Integrated Practice, Duke University Health System, Durham, North Carolina.
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J Med Internet Res
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Department of Clinical Psychology and Psychotherapy, Institute of Psychology and Education, Ulm University, Ulm, Germany.
Background: Unobtrusively collected objective sensor data from everyday devices like smartphones provide a novel paradigm to infer mental health symptoms. This process, called smart sensing, allows a fine-grained assessment of various features (eg, time spent at home based on the GPS sensor). Based on its prevalence and impact, depression is a promising target for smart sensing.
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December 2025
Department of Medicine, University of Louisville School of Medicine, Louisville, KY, USA.
J Med Internet Res
January 2025
Department of Industrial and Systems Engineering, The University of Florida, GAINESVILLE, FL, United States.
Background: The implementation of large language models (LLMs), such as BART (Bidirectional and Auto-Regressive Transformers) and GPT-4, has revolutionized the extraction of insights from unstructured text. These advancements have expanded into health care, allowing analysis of social media for public health insights. However, the detection of drug discontinuation events (DDEs) remains underexplored.
View Article and Find Full Text PDFJ Prim Care Community Health
January 2025
University of California, Davis, Division of Hospital Medicine, Sacramento, CA, USA.
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