State public health agencies face challenges when monitoring the efforts and effects of public health programs that use disparate strategies and address various diseases, locations, and populations. The external evaluators of a complex portfolio of grant funding sought a standardized reporting framework and tool that could be used for all grants in the portfolio, without having to redesign it for each disease or intervention approach. Evaluators iteratively reviewed grant-funded projects to identify common project delivery strategies, then developed and implemented a common reporting framework and spreadsheet-based data capture tool. Evaluators provided training, technical assistance, and ongoing data reviews. During 2 fiscal years, 103 public health programs throughout Colorado submitted quarterly reports; agencies funded to implement these programs ranged from small community-based organizations to university- and hospital-affiliated groups in urban and rural settings. Aggregated reports supported estimates of program reach by strategy and by disease area, and the system supported production of summary descriptions of program implementation. Standardized language and expectations for reporting helped to align grant applications and work plans with reporting tools. A common language and standardized reporting tool can be used for diverse projects in a comprehensive evaluation framework. Decentralized data collection using common spreadsheet software enabled the aggregation of common data elements across multiple programs and projects. Further refinements could enable wider dissemination of common reporting criteria and expectations.
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http://dx.doi.org/10.5888/pcd9.120004 | DOI Listing |
Disabil Rehabil
January 2025
Clinic Institute of Medical and Surgical Specialties (ICEMEQ), Hospital Clinic of Barcelona, Barcelona, Spain.
Purpose: Adherence to home rehabilitation following total knee arthroplasty (TKA) is essential to reach optimal functional outcomes, especially in fast-track procedures. The aim of this study is to identify which sociodemographic and health factors significantly affect adherence in this context.
Methods: This is a secondary analysis of a randomized controlled trial with 52 patients.
Acta Med Port
January 2025
Serviço de Dermatologia. Unidade Local de Saúde Santo António. Porto. Portugal.
Scabies is a common dermatological infection that globally affects more than 200 million people. It is caused by the parasite Sarcoptes scabiei var. hominis and its transmission primarily occurs through direct contact.
View Article and Find Full Text PDFBrain
January 2025
Translational Neuroimaging Laboratory, Montreal Neurological Institute, H3A 2B4, Montreal, Canada.
Plasma phosphorylated tau biomarkers open unprecedented opportunities for identifying carriers of Alzheimer's disease pathophysiology in early disease stages using minimally invasive techniques. Plasma p-tau biomarkers are believed to reflect tau phosphorylation and secretion. However, it remains unclear to what extent the magnitude of plasma p-tau abnormalities reflects neuronal network disturbance in the form of cognitive impairment.
View Article and Find Full Text PDFAm J Hosp Palliat Care
January 2025
Division of Cancer Education, National Cancer Centre Singapore, Singapore.
Background: Palliative Care, Geriatrics and Emergency physicians are exposed to death, terminally ill patients and distress of patients and their families. As physicians bear witness to patients' suffering, they are vulnerable to the costs of caring-the emotional distress associated with providing compassionate and empathetic care to patients. If left unattended, this may culminate in burnout and compromise professional identity.
View Article and Find Full Text PDFJMIR Res Protoc
January 2025
Data and Web Science Group, School of Business Informatics and Mathematics, University of Manneim, Mannheim, Germany.
Background: The rapid evolution of large language models (LLMs), such as Bidirectional Encoder Representations from Transformers (BERT; Google) and GPT (OpenAI), has introduced significant advancements in natural language processing. These models are increasingly integrated into various applications, including mental health support. However, the credibility of LLMs in providing reliable and explainable mental health information and support remains underexplored.
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