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BACKGROUND: The evolution of artificial intelligence (AI) has significantly impacted various sectors, with health care witnessing some of its most groundbreaking contributions. Contemporary models, such as ChatGPT-4 and Microsoft Bing, have showcased capabilities beyond just generating text, aiding in complex tasks like literature searches and refining web-based queries. OBJECTIVE: This study explores a compelling query: can AI author an academic paper independently? Our assessment focuses on four core dimensions: relevance (to ensure that AI's response directly addresses the prompt), accuracy (to ascertain that AI's information is both factually correct and current), clarity (to examine AI's ability to present coherent and logical ideas), and tone and style (to evaluate whether AI can align with the formality expected in academic writings). Additionally, we will consider the ethical implications and practicality of integrating AI into academic writing. METHODS: To assess the capabilities of ChatGPT-4 and Microsoft Bing in the context of academic paper assistance in general practice, we used a systematic approach. ChatGPT-4, an advanced AI language model by Open AI, excels in generating human-like text and adapting responses based on user interactions, though it has a knowledge cut-off in September 2021. Microsoft Bing's AI chatbot facilitates user navigation on the Bing search engine, offering tailored search. RESULTS: In terms of relevance, ChatGPT-4 delved deeply into AI's health care role, citing academic sources and discussing diverse applications and concerns, while Microsoft Bing provided a concise, less detailed overview. In terms of accuracy, ChatGPT-4 correctly cited 72% (23/32) of its peer-reviewed articles but included some nonexistent references. Microsoft Bing's accuracy stood at 46% (6/13), supplemented by relevant non-peer-reviewed articles. In terms of clarity, both models conveyed clear, coherent text. ChatGPT-4 was particularly adept at detailing technical concepts, while Microsoft Bing was more general. In terms of tone, both models maintained an academic tone, but ChatGPT-4 exhibited superior depth and breadth in content delivery. CONCLUSIONS: Comparing ChatGPT-4 and Microsoft Bing for academic assistance revealed strengths and limitations. ChatGPT-4 excels in depth and relevance but falters in citation accuracy. Microsoft Bing is concise but lacks robust detail. Though both models have potential, neither can independently handle comprehensive academic tasks. As AI evolves, combining ChatGPT-4's depth with Microsoft Bing's up-to-date referencing could optimize academic support. Researchers should critically assess AI outputs to maintain academic credibility.
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BACKGROUND: Diabetes distress (DD) affects at least 36% of T2DM patients and is often associated with insufficient support and care. This study examines an intervention that targets DD through enhanced cross-sectoral collaboration and treatment during the first 3 months following diagnosis. The intervention aims to improve care and self-management and to reduce DD. METHODS AND INTERVENTION: The study is designed as a cluster-randomized trial with the intervention focusing on four key elements of diabetes care: effective cross-sectoral communication and information sharing, systematic care, a "one-stop-shop" health screening and start-up conversation at the municipality, and improving patient insights into own care. This study requires 32 clusters (16/arm) to achieve 80% power and a 5% significance cut-off, with 270 patients required. GP recruitment occurred from May to Dec 2022. Patient recruitment is ongoing from May 2022 to Aug 2023. GPs were randomized 1:1 using computer-generated blocks of six. Participating GPs are located in Southern Denmark and are not participating in other trials. Patients must be 18 + years of age, have a T2DM diagnosis, and be fluent in spoken and written Danish. DD is the primary outcome and will be measured at baseline, at four months, and again at a 12-month follow-up. Secondary outcomes include quality of care, self-management, quality of life, and clinical factors. Tertiary outcomes comprise depression, stress, resilience, sleep quality, and social network quality. CONCLUSION: This study is among the first clinical trials exploring the development of DD from diagnosis to 12 months post-diagnosis. Many previous interventions did not directly target DD as the primary outcome. This research provides new insights into DD progression in patients newly diagnosed with T2DM and examines an intervention designed to lower DD in early diabetes stages, contributing to a better understanding of the development of DD and how this intervention affects patient well-being. TRIAL REGISTRATION: ClinicalTrial.gov NCT05571306. Registered on 07 October 2022.
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Diabetes Mellitus Tipo 2 , Autogestão , Humanos , Comunicação , Diabetes Mellitus Tipo 2/diagnóstico , Diabetes Mellitus Tipo 2/terapia , Qualidade de Vida , Ensaios Clínicos Controlados Aleatórios como Assunto , AdultoRESUMO
BACKGROUND: This study aims to evaluate medication dispensing by pharmacy technicians at a geriatric inpatient ward at a Danish hospital. METHODS: Four pharmacy technicians were trained in delivering a dispensing service at a geriatric ward. At baseline, the ward nurses recorded the time spent dispensing the medication and the number of interruptions. Similar recordings were completed twice during the period in which the pharmacy technicians delivered the dispensing service. Satisfaction among the ward staff with the dispensing service was assessed by a questionnaire. Reported medication errors were collected during the dispensing service period and compared to a similar time period during the previous two years. RESULTS: The time spent on dispensing medications was on average reduced with 1.4 h per day ranging from 4.7 to 3.3 h per day when the pharmacy technicians performed the service. Interruptions during the dispensing process decreased from a daily average of more than 19 times to an average of 2-3 per day. The nursing staff reported positive feedback on the medication dispensing service provided, especially about easing their workload. There was a tendency toward decreased reporting of medication errors. CONCLUSION: The medication dispensing service performed by the pharmacy technicians reduced time spent on dispensing medication and increased patient safety by reducing interruptions during the process and decreasing the number of medication errors reported.
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OBJECTIVES: To investigate the proportion of patients that pass a return to sport (RTS) test battery and assess changes in patient-reported outcomes and lower extremity muscle strength following three months of exericse-based rehabilitation in non-surgically treated patients with anterior cruciate ligament (ACL) injury. DESIGN: Prospective cohort study. SETTING: Clinical environment (public municipal). PARTICIPANTS: Thirty-nine ACL injured patients (54% female, median age (IQR) 28 years (24-35). MAIN OUTCOME MEASURES: The Knee Injury and Osteoarthritis Outcome Score, Knee Outcome Survey Activities of Daily Living Scale, single hop for distance, crossover hop for distance, side hop test, the Agility T-test, and quadriceps and hamstrings isometric maximal voluntary contraction (MVC). RESULTS: Following 3 months of rehabilitation, patients had statistically significant improvements in all patients-reported outcomes and in quadriceps and hamstring MVC. Of 28 patients who completed all RTS tests, 11% passed six RTS criteria, 14% five criteria, 11% four criteria, 4% three criteria, 18% two criteria, 21% one criterion, and 21% none of the criteria. CONCLUSIONS: The results suggest that three months of public municipal rehabilitation improves patient-reported outcomes and lower extremity muscle strength in non-surgically treated patients with ACL injury. However, only one in every 10 patients passed all RTS criteria.
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Lesões do Ligamento Cruzado Anterior , Reconstrução do Ligamento Cruzado Anterior , Atividades Cotidianas , Adulto , Lesões do Ligamento Cruzado Anterior/cirurgia , Feminino , Humanos , Masculino , Força Muscular , Estudos Prospectivos , Músculo Quadríceps , Volta ao EsporteRESUMO
Polyphagous broad nosed weevils (Curculionidae: Entiminae) constitute a large and taxonomically challenging subfamily that contains economically significant agricultural pests worldwide. South Africa is a hot-spot for biodiversity and several species of indigenous and endemic genera of Entiminae have shifted on to cultivated plants, with some being phytosanitary pests. The sporadic pest status of many species (where the species has an occasional economic impact on the agricultural industry, but is not encountered often enough that is is readily recognisable by researchers and agricultural extension workers) and the presence of pest complexes and cryptic species represent an identification challenge to non-specialists. Furthermore, no comprehensive identification tools exist to identify immature stages that may be found in crops/soil. In this paper, a curated barcoding database with 70 COI sequences from 41 species (39 Entiminae, 2 Cyclominae) is initiated, to assist with the complexity of identification of species in this group.