Background: Pervasive developmental disorders (PDDs) can be very difficult to diagnose in children and to communicate such a diagnosis to their parents. Families of children with PDD learn of their child's diagnosis long after the first symptoms are noted in the child's behavior.
Methods: An area-based survey was conducted to assess all social and health care providers taking care of patients with PDDs in the Veneto Region (North-East Italy).
Results: Only 28% of health care providers arrived at a definite diagnosis when the child was in his/her first year of age, 51% when the child was 2-3 years old and 21% from age of 4 years and up. On average, the latency between the time of the diagnosis and its communication to the family was 6.9 months. However, a number of families did not ever have a diagnosis communicated to them. Sometimes, 68% of the providers did not communicate a PDDs diagnosis to patient's families, and 4% of them quite commonly.
Conclusion: The well-known delay in making a diagnosis of PDDs has two distinct components: one relating to the difficulty of confirming a diagnosis of PDDs, the other, hitherto unrecognized, relating to the family being notified.
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http://dx.doi.org/10.1007/s12519-014-0533-6 | DOI Listing |
J Am Assoc Nurse Pract
January 2025
Division of Cardiology, Department of Medicine, Duke Health Integrated Practice, Duke University Health System, Durham, North Carolina.
Background: Increasing patient demand and clinician burnout in rheumatology practices have highlighted the need for more efficient models of care (MOC). Interprofessional collaboration is essential for improving patient outcomes and clinician satisfaction.
Local Problem: Our current MOC lacks standardization and formal integration of Nurse Practitioners (NPs) and Physician Assistants (PAs), resulting in reduced clinician satisfaction and limited patient access.
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.
View Article and Find Full Text PDFPulmonology
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.
Introduction: Nadezhda Clinic is a free student-run health clinic that provides culturally sensitive primary care services to the underserved Russian-speaking population of the greater Sacramento area. At the onset of the COVID-19 pandemic, the clinic suspended in-person services and solely offered telemedicine visits. Most patients were hesitant to utilize telemedicine due to poor technological literacy, privacy concerns, and a preference for in-person care.
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