This is the second of a series of papers dedicated to the EASY-NET research programme (NET-2016-02364191). The rationale, structure and methodologies are described in the previous contribution. Scientific literature demonstrated that Audit & Feedback (A&F) is an effective strategy for continuous quality improvement and its effectiveness varies considerably according to factors that are currently little known. Some recent publication pointed out, with the contribution of an international group of experts, 15 suggestions to optimize A&F and developed a tool to evaluate their application. This tool, called REFLECT-52, includes 52 items related to the 15 suggestions and organized into four categories relating to the "Nature of the desired action", to the "Nature of the data available for feedback", to the "Feedback Display" and to the "Intervention delivery". Then, the aim of this work was to evaluate the level of adherence of A&F interventions tested in EASY-NET to suggestions from the literature by using a slightly adapted version of the REFLECT-52 tool, in its original language. In EASY-NET, 14 A&F interventions with different characteristics and in different clinical and organizational contexts were tested in seven Italian regions, each of these was evaluated by the respective research groups. Overall, the level of adherence was high in three of the four categories analysed, with some difficulties reported regarding the nature of the data available for feedback. In fact, contrary to what the literature suggests, it was not possible to send repeated feedback for some interventions and, in some cases, the data available for feedback presented a delay longer than one year. In summary, this analysis has confirmed a high level of compliance of the interventions tested with the suggestions from the literature, but it has also allowed researchers to identify critical aspects that need to be addressed for the future development of these strategies.
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http://dx.doi.org/10.19191/EP23.6.A664.074 | DOI Listing |
Inflammation
January 2025
The Key Laboratory of Spine and Spinal Cord Disease of Jiangxi Province, Nanchang, 330006, China.
Inflammatory bone resorption represents a pathological condition marked by an increase in bone loss, commonly associated with chronic inflammatory conditions such as rheumatoid arthritis and periodontitis. Current therapies primarily focus on anti-inflammatory drugs and bisphosphonates; however, these treatments are limited due to side effects, inadequate efficacy, and unpredictable long-term complications. Kurarinone (KR), a bioactive compound isolated from the traditional Chinese herb Sophora flavescens, exhibits a range of biological activities, including anti-inflammatory, anticancer, and cardiovascular protective effects.
View Article and Find Full Text PDFJ Gen Intern Med
January 2025
Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
Background: Active surveillance (AS) is the guideline-recommended treatment for low-risk prostate cancer and involves routine provider visits, lab tests, imaging, and prostate biopsies. Despite good uptake, adherence to AS, in terms of receiving recommended follow-up testing and remaining on AS in the absence of evidence of cancer progression, remains challenging.
Objective: We sought to better understand urologist, primary care providers (PCPs), and patient experiences with AS care delivery to identify opportunities to improve adherence.
J Knee Surg
January 2025
Orthopaedic Surgery, LifeBridge Health Rubin Institute for Advanced Orthopedics, Baltimore, United States.
Introduction: The widespread adoption of smartphones and wearable technology has introduced innovative approaches in healthcare, particularly in postoperative rehabilitation. These technologies hold significant promise for improving recovery following lower extremity arthroplasty, especially total knee arthroplasty (TKA). Despite growing interest, the evidence on their effectiveness and long-term impact remains variable.
View Article and Find Full Text PDFAnn Intern Med
January 2025
Clinical Epidemiology and Research Center (CERC), Department of Biomedical Sciences, Humanitas University, and IRCCS Humanitas Research Hospital, Milan, Italy, and Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Allergology and Immunology, Berlin, Germany (H.J.S.).
Description: Artificial intelligence (AI) has been defined by the High-Level Expert Group on AI of the European Commission as "systems that display intelligent behaviour by analysing their environment and taking actions-with some degree of autonomy-to achieve specific goals." Artificial intelligence has the potential to support guideline planning, development and adaptation, reporting, implementation, impact evaluation, certification, and appraisal of recommendations, which we will refer to as "guideline enterprise." Considering this potential, as well as the lack of guidance for the use of AI in guidelines, the Guidelines International Network (GIN) proposes a set of principles for the development and use of AI tools or processes to support the health guideline enterprise.
View Article and Find Full Text PDFEndocrine
January 2025
Department of Health Management, Chronic Health Management Laboratory, Henan Provincial People's Hospital, Zhengzhou, 450003, China.
Background: The impact of fatty liver disease on lumbar bone mineral density (BMD) represents an intriguing area of study, particularly in light of established research linking obesity to bone metabolism. However, there remains limited investigation into the correlation between quantifying liver fat content (LFC) and lumbar BMD among overweight and obese populations, particularly within the Chinese demographic. This study aims to accurately quantify LFC and investigate its association with lumbar BMD in overweight or obese individuals.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!