Specialties, Dental

专业,牙科
  • 文章类型: Journal Article
    背景:这项研究旨在从结构上描述利比亚口腔保健系统,函数,劳动力,资金,报销和目标群体。
    方法:使用单一描述性案例研究方法和多种数据收集来源,以深入了解利比亚口腔保健系统。有目的的关键线人样本(口腔健康中心经理,具有该领域经验的各种专业的牙医,牙医,护士,牙科技术员,以及医疗保险事务中的官员)被招聘。案例及其界限以研究的目的为指导。进行了定性和定量分析。描述性统计用于定量数据。框架分析,根据研究目标,用于分析采访和文件。
    结果:分析表明,口腔健康服务已整合到医疗服务中。提供牙科护理主要以治疗为主,在私营部门。公共部门的口腔保健服务主要是紧急护理和拔牙。研究中包括的牙科劳动力主要是牙医(89%的普通牙科从业人员(GDPs),11%的专家),牙科技术员和护士明显缺乏。大约40%的牙医在私营和公共部门工作。政府为公共部门提供资金,但是私营部门是自筹资金的。没有具体的目标群体或明确的政策报告。然而,该系统是围绕初级卫生保健作为一项总体政策而建立的。龋齿是利比亚学龄前儿童中最常见的口腔问题,影响约70%,并且是成人牙齿脱落的最常见原因。
    结论:利比亚的口腔保健系统主要是私有化的。公共卫生服务组织不善,出现故障。迫切需要制定政策和计划,以改善利比亚的口腔保健系统。
    BACKGROUND: This study aims to describe the Libyan oral health care system in terms of its structure, function, workforce, funding, reimbursement and target groups.
    METHODS: A single descriptive case study approach and multiple sources of data collection were used to provide an in-depth understanding of the Libyan oral health care system. A purposeful sample of the key informants (Managers of oral health centers, dentists of various specialties with experience in the field, dentists, nurses, dental technicians, and officials in the affairs of medical insurance) was recruited. The case and its boundaries were guided by the study\'s aim. Both qualitative and quantitative analyses were conducted. Descriptive statistics were used for quantitative data. Framework analysis, informed by the study objectives, was used to analyze interviews and documents.
    RESULTS: The analysis showed that oral health services are integrated into medical services. The provision of dental care is mainly treatment-based, in the private sector. The oral health services in the public sector are mainly emergency care and exodontia. The dental workforce included in the study were mostly dentists (89% General Dental Practitioners (GDPs), 11% specialists), with a marked deficiency in dental technicians and nurses. Around 40% of dentists work in both the private and public sectors. The government provides the funding for the public sector, but the private sector is self-funded. No specific target group(s) nor clear policies were reported. However, the system is built around primary health care as an overarching policy. Dental caries is the most common oral problem among Libyan preschool children affecting around 70% and is the most common cause of tooth loss among adults.
    CONCLUSIONS: The oral health care system in Libya is mainly privatized. The public health services are poorly organized and malfunctioning. There is an urgent need to develop policies and plans to improve the oral health care system in Libya.
    导出

    更多引用

    收藏

    翻译标题摘要

    我要上传

       PDF(Pubmed)

  • 文章类型: Journal Article
    目的:部分无牙患者的种植疗法已成为最适应和可预测的治疗方式。植入物的成功率已经根据美学来衡量,生物,和技术因素,如放射学骨丢失,假肢并发症,和稳定性。尽管存在一些用于植入物牙冠美学评估的指标,需要以客观和可重复的评分对植入物牙冠进行功能评估。该研究旨在验证功能性种植体修复评分(FIPS)的可重复性以及不同牙科专业的影响,同时评估后单单元种植体冠。
    方法:这是一项前瞻性临床研究。
    方法:纳入了15例颌骨后部骨水泥保留单种植体牙冠患者。八个考官,两个牙齿修复师,两位牙周病医生,两位口腔外科医生,两名正畸医生在1年的随访检查中评估了15张单单元种植体冠的照片。考官评估了FIPS的照片,其中包括用于客观评估单单元植入物牙冠的五个参数。在4周的间隔内进行两次评估。
    方法:计算了Pearson与95%置信区间的相关性,并采用Kruskal-Wallis检验进行了检查者间的可重复性。
    结果:所有纳入考官的平均总FIPS评分在时间T1为7.133,在时间T2为7.074,显示出较强的Pearson相关系数与考官内可重复性。不同专业之间的差异无统计学意义,Kruskal-Wallis检验的值具有统计学意义。
    结论:在FIPS的可重复性评估过程中,研究者间和研究者间分析显示出非常一致的结果。结果验证了FIPS作为后部单种植体牙冠的长期预测功能评估工具的使用,而与不同牙科专业的影响无关。它可用于植入物牙冠的长期生存和性能的风险估计和预后。
    OBJECTIVE: Implant therapy in partially edentulous patients has become the most adapted and predictable treatment modality. The success rate of implants has been measured in terms of esthetic, biological, and technical factors such as radiographic bone loss, prosthetic complications, and stability. Despite the existence of several indices for the esthetic assessment of implant crowns, a need for functional evaluation of the implant crown with an objective and reproducible score has arisen. The study aims to validate the reproducibility of the functional implant prosthodontic score (FIPS) and the influence exerted by different dental specialties while evaluating posterior single-unit implant crowns.
    METHODS: This was a prospective clinical study.
    METHODS: Fifteen patients with cement-retained single-implant crowns in the posterior region of the jaws were included. Eight examiners, two prosthodontists, two periodontists, two oral surgeons, and two orthodontists evaluated 15 photographs of single-unit implant crowns during the 1-year follow-up examination. The examiners assessed the photographs for FIPS, which includes five parameters for objectively evaluating the single-unit implant crowns. Assessments were performed twice at a gap of 4 weeks.
    METHODS: Pearson\'s correlation with a 95% confidence interval was calculated for the intra-examiner and the Kruskal-Wallis test for inter-examiner reproducibility.
    RESULTS: The mean total FIPS scores for all included examiners were 7.133 for time T1 and 7.074 for time T2, showing a strong Pearson correlation coefficient for intra-examiner reproducibility. No significant difference was analyzed among different specialties with statistically significant values of the Kruskal-Wallis test.
    CONCLUSIONS: Intra- and inter-examiner analysis showed very consistent results during the reproducibility assessment of FIPS. The results validated the use of FIPS as a long-term predictive functional evaluation tool for the single-implant crowns in posterior sites irrespective of the effect of different dental specialties. It could be used for risk estimation and prognosis for long-term survival and performance of implant crowns.
    导出

    更多引用

    收藏

    翻译标题摘要

    我要上传

       PDF(Pubmed)

  • 文章类型: Journal Article
    目标:生成人工智能(GenAI),包括大型语言模型(LLM),在医疗保健和教育方面具有广泛的潜在应用。然而,目前尚不清楚LLM在解释书面输入和提供牙科准确答案方面的熟练程度.这项研究旨在调查GenAI在回答牙科许可考试问题时的准确性。
    方法:在ChatGPT3.5和4.0的两个版本中输入了来自美国和英国牙科执照考试的问题簿中的1461道多项选择题。美英牙科检查合格率分别为75.0%和50.0%,分别。分析并比较了两种版本的GenAI在个人检查和牙科受试者中的表现。
    结果:ChatGPT3.5正确回答了来自美国和英国牙科执照考试的68.3%(n=509)和43.3%(n=296)的问题,分别。ChatGPT4.0的得分分别为80.7%(n=601)和62.7%(n=429),分别。ChatGPT4.0通过了两项书面牙科执照考试,而ChatGPT3.5失败。比较2个版本时,与ChatGPT3.5相比,ChatGPT4.0正确回答了327个问题,错误回答了102个问题。
    结论:较新版本的GenAI在回答牙科执照考试的多项选择题方面表现出良好的熟练程度。虽然最新版本的GenAI通常表现更好,这一观察可能并非在所有情况下都成立,需要进一步改进。GenAI在牙科中的使用将对牙医与患者的沟通和牙科专业人员的培训产生重大影响。
    OBJECTIVE: Generative artificial intelligence (GenAI), including large language models (LLMs), has vast potential applications in health care and education. However, it is unclear how proficient LLMs are in interpreting written input and providing accurate answers in dentistry. This study aims to investigate the accuracy of GenAI in answering questions from dental licensing examinations.
    METHODS: A total of 1461 multiple-choice questions from question books for the US and the UK dental licensing examinations were input into 2 versions of ChatGPT 3.5 and 4.0. The passing rates of the US and UK dental examinations were 75.0% and 50.0%, respectively. The performance of the 2 versions of GenAI in individual examinations and dental subjects was analysed and compared.
    RESULTS: ChatGPT 3.5 correctly answered 68.3% (n = 509) and 43.3% (n = 296) of questions from the US and UK dental licensing examinations, respectively. The scores for ChatGPT 4.0 were 80.7% (n = 601) and 62.7% (n = 429), respectively. ChatGPT 4.0 passed both written dental licensing examinations, whilst ChatGPT 3.5 failed. ChatGPT 4.0 answered 327 more questions correctly and 102 incorrectly compared to ChatGPT 3.5 when comparing the 2 versions.
    CONCLUSIONS: The newer version of GenAI has shown good proficiency in answering multiple-choice questions from dental licensing examinations. Whilst the more recent version of GenAI generally performed better, this observation may not hold true in all scenarios, and further improvements are necessary. The use of GenAI in dentistry will have significant implications for dentist-patient communication and the training of dental professionals.
    导出

    更多引用

    收藏

    翻译标题摘要

    我要上传

       PDF(Pubmed)

  • 文章类型: Journal Article
    背景:欧洲经济区(EEA)由具有许多不同地区的成员国组成。这项研究旨在分析24个欧洲国家的普通牙医和牙科专家与总人口的比例以及牙科专家与普通牙医的比例,并探讨法国和德国2个国家的具体内部差异。
    方法:分析了来自英国和组成EEA的30个国家中的23个国家的可用官方文件和网页。数据以绝对值表示,普通牙医和牙科专家在总人口中的比例,以及牙科专家/牙医的百分比。使用Mann-WhitneyU检验来阐明区分法国和德国的主要比率,并采用聚类分析确定相似区域。
    结果:发现国家之间存在显着差异,爱尔兰和奥地利的牙医比例最低,罗马尼亚和希腊的牙医比例最高。捷克共和国,荷兰,法国,丹麦的牙科专家占总人口的比例最低。立陶宛,瑞典,德国拥有最多的牙科专家。正畸医生是最多的专家(占牙医的5.0%),其次是口腔外科医师(2.7%)。在法国,部门之间的差异很明显,并且与牙科学校的存在和人均收入有关。在德国,只有人均收入与口腔外科医生的密度之间的相关性是显著的。
    结论:在被检查国家中发现了普通牙医和牙科专家占总人口的不同比例以及牙科专家与普通牙医的比例,它们的最大值是最小值的2.5倍、5.7倍和4.1倍,分别。甚至在同一个国家发现了差异,就像法国的情况一样,在较小程度上,在德国。
    BACKGROUND: The European Economic Area (EEA) is composed of member states with a multitude of different regions. This study aimed to analyse the ratios of general dentists and dental specialists to the total population and the proportion of dental specialists to general dentists in 24 European countries and to explore specific intranational differences within 2 countries: France and Germany.
    METHODS: Available official documents and webpages from the United Kingdom and 23 of the 30 countries comprising the EEA were analysed. Data were expressed as absolute values, ratios of general dentists and dental specialists in the total of population, and percentages of dental specialists/dentists. The Mann-Whitney U test was used to clarify the main ratios that distinguish France from Germany, and cluster analysis was employed to determine similar areas.
    RESULTS: Significant differences were found between countries, with Ireland and Austria having the lowest ratio of dentists and Romania and Greece having the highest. The Czech Republic, the Netherlands, France, and Denmark had the lowest ratios of dental specialists to the total population. Lithuania, Sweden, and Germany had the highest number of dental specialists. Orthodontists were the most numerous specialists (5.0% of dentists), followed by oral surgeons (2.7%). In France, differences between departments were pronounced and associated with the presence of dental schools and per capita income. In Germany, only the correlation between per capita income and the density of oral surgeons was significant.
    CONCLUSIONS: Diverse ratios of general dentists and dental specialists to the total population and the proportion of dental specialists to general dentists were discovered within the examined countries, and their maximum values were 2.5, 5.7, and 4.1 times the minimum values, respectively. Differences were even found within the same country, as was the case in France and, to a lesser extent, in Germany.
    导出

    更多引用

    收藏

    翻译标题摘要

    我要上传

       PDF(Pubmed)

  • 文章类型: Editorial
    暂无摘要。
    导出

    更多引用

    收藏

    翻译标题摘要

    我要上传

       PDF(Pubmed)

  • 文章类型: Journal Article
    背景:尽管欧洲经济空间通常以统一和有组织的方式行事,关于这组成员国周围的牙科专业的类型和数量,发现了几个主要差异。该研究的目的是分析21个欧洲国家之间存在的不平等和相似性,突出公认的牙科专业的数量和类型。
    方法:来自欧洲经济空间组成的30个国家中的20个国家以及英国(UK)的可用官方文件和网页,进行了分析,以获得涉及牙科专业的可靠数据。用洛伦兹曲线和Gini检验测试差异。此外,a进行了聚类分析,以获得在牙科专业的数量和类型上具有相似模式的国家组.
    结果:在所有分析的国家中,共有15种不同的专业得到了官方认可。正畸(90%)和口腔外科(81%)是两个最常见的专业。被分析国家的全球不平等程度为40.2%。聚类分析根据牙科专业的数量和类型区分了三个不同的主要国家组。
    结论:EES和英国地区的牙科专业状况表现出不平等的组织。聚类分析显示了3个主要的国家集群,其牙科专业模式相似。
    Although the European Economic Space usually acts in a united and organized way, several main differences are found regarding the type and number of dental specialties all around this group of member states. The aim of the study is to analyse the inequalities and similarities existing between 21 European countries, highlighting the number and types of recognized dental specialties.
    Available official documents and webpages from 20 out of the 30 countries of which the European Economic Space is comprised plus the United Kingdom (UK), were analysed to obtain reliable data referred to dental specialties. Differences were tested with the Lorentz curve and Gini test. Additionally, a Cluster analysis was performed to obtain groups of countries with a similar pattern in the number and type of dental specialties.
    Up to a total of 15 different specialties are officially recognized in all the analysed countries. Orthodontics (90%) and Oral Surgery (81%) are the two most frequently recognized specialties. The total global degree of inequality of the analysed countries was 40.2%. Cluster analysis differentiated three different main groups of countries according to the number and type of dental specialties.
    The situation of dental specialties in the area of the EES plus the UK exhibits an unequal organization. Cluster analysis showed 3 main clusters of countries with a similar pattern of dental specialties.
    导出

    更多引用

    收藏

    翻译标题摘要

    我要上传

       PDF(Pubmed)

  • 文章类型: Journal Article
    比较牙髓医生和口腔颌面放射科医生(OMR)在检测和测量2体素大小的锥形束计算机断层扫描(CBCT)中描绘的根尖周围病变时的观察者一致性。
    总共,由2名牙髓医生和2名OMR评估了256张上颌磨牙的CBCT图像。在0.2和0.4mm的体素尺寸下获得图像。观察者使用5点置信度量表评估了64颗牙髓和64颗非牙髓治疗的牙齿是否存在根尖周病变。计算加权κ值以确定观察者内部和观察者之间的一致性。计算组内相关系数(ICC)以评估观察者内部和观察者之间在病变宽度和高度测量方面的一致性。
    观察者内部协议从公平到近乎完美,OMR的κ值高于牙髓医生。在0.2mm体素大小下,牙髓学家之间的观察者之间的共识范围从一般到中等,在0.4mm处为轻微。OMR之间的协议在0.2mm时几乎是完美的,在0.4mm时从基本到几乎是完美的。ICC在所有条件下对所有观察员都非常出色。
    观察者内部和观察者间的可靠性受到体素大小和特性的影响。测量的相关性没有变化。
    To compare observer agreement between endodontists and oral and maxillofacial radiologists (OMRs) in the detection and measurement of periapical lesions as depicted in cone beam computed tomography (CBCT) with 2 voxel sizes.
    In total, 256 CBCT images of maxillary molars were evaluated by 2 endodontists and 2 OMRs. Images were obtained at voxel sizes of 0.2 and 0.4 mm. Observers evaluated 64 endodontically and 64 nonendodontically treated teeth for the presence of periapical lesions using a 5-point confidence scale. Weighted κ values were calculated to determine intra- and interobserver agreement. Intraclass correlation coefficients (ICCs) were calculated to assess intra- and interobserver agreement in width and height measurements of the lesions.
    Intraobserver agreement ranged from fair to almost perfect, with κ values higher for the OMRs than for the endodontists. Interobserver agreement between endodontists ranged from fair to moderate at the 0.2mm voxel size and was slight at 0.4 mm. Agreement between OMRs was almost perfect at 0.2 mm and ranged from substantial to almost perfect at 0.4 mm. ICC was excellent for all observers in all conditions.
    Intra- and interobserver reliability was affected by voxel size and specialty. Correlation for measurements exhibited no variation.
    导出

    更多引用

    收藏

    翻译标题摘要

    我要上传

       PDF(Sci-hub)

  • 文章类型: Journal Article
    BACKGROUND: Empathy is an attribute that has an important role in the dentist-patient therapeutic relationship, clinical care and adherence to treatment, amongst other benefits. The aim of this research was to determine empathy in dentists in the process of specialisation.
    METHODS: Through an observational and cross-sectional study, all postgraduate students of Dentistry Faculty of Universidad Andrés Bello (Chile) were analysed (N = 195). The Jefferson Scale of Physician Empathy Scale was applied.
    RESULTS: The results show an adequate reliability of the empathy measure (α = 0.819, ω = 0.928). A three-factor structure is evidenced by confirmatory factor analysis (χ2 /df = 1.445, GFI = 0.952, RMSEA = 0.047) and adequate factor invariance between men and women. Women showed greater empathy on the global scale and in the perspective adoption dimension, with no gender differences found in the dimension Compassionate care and putting oneself in the other\'s shoes (POOS). The median empathy reaches 120 points. Below, are placed, the specialty of oral rehabilitation (Med = 114.5), surgery (Med = 117) and periodontics (Med. = 117.5). With superior scores, temporomandibular disorder (Med. = 121), endodontics (Med. = 121), Orthodontics and dentofacial orthopedics Med. = 122), Implantology (Med. = 125) and Pediatric dentistry (Med. = 127.5) are located.
    CONCLUSIONS: Women were more empathetic than men. In general, empathy levels are relatively high, but the common feature in which all students examined in different specialties have low levels in dimension POOS.
    导出

    更多引用

    收藏

    翻译标题摘要

    我要上传

       PDF(Sci-hub)

  • 文章类型: Editorial
    暂无摘要。
    导出

    更多引用

    收藏

    翻译标题摘要

    我要上传

       PDF(Sci-hub)

  • 文章类型: Editorial
    暂无摘要。
    导出

    更多引用

    收藏

    翻译标题摘要

    我要上传

       PDF(Sci-hub)

公众号