目的:测量医联体糖尿病患者眼科随访依从性及相关的健康信念,分析其影响因素。方法:采用便利抽样的方法,使用中文版糖尿病眼科随访依从性问卷对在广州医科大学附属第二医院所辖医联体内的334例糖尿病患者进行调查。结果:仅24.3%的受访者在过去的1年中接受过眼科散瞳检查,受访者眼科随访健康信念的总体评分为3.09±0.64,其中感知的益处和威胁维度评分最高,行为线索维度评分最低。糖尿病类型、就医倾向、合并其他糖尿病并发症、医联体相关知识和家庭类型是糖尿病患者眼科随访健康信念的主要影响因素。结论:医联体糖尿病患者眼科随访健康信念处于一般水平,缺乏行为线索支持,提示在糖尿病眼部并发症筛查和防治过程中,医联体应发挥下筛上转的功能,通过对障碍因素的干预,提高辖区糖尿病患者接受眼科随访的依从性。
Objective: To measure the adherence to ophthalmology follow-up and the related health belief of patients with diabetes in medical alliance, and analyze the influencing factors. Methods: Totally 334 community-dwelling patients with diabetes mellitus were recruited in a medical alliance in Guangzhou by convenient sampling method. They were investigated by the Chinese version of the Compliance with Annual Diabetic Eye Exams Survey (CADEES-C). Results: Dilated fundus examination within the last year were only reported by 24.3% of respondents. The mean score of the CADEES-C was 3.09±0.64, with the highest score in perceived benefit and threat dimensions and the lowest score in behavioral cue dimension. The factors that mainly influence the adherence to ophthalmology follow-up and their related health beliefs of patients with diabetes are types of diabetes, propensity to seek treatment, other complications of diabetes, knowledge of medical alliance and family pattern. Conclusion: The adherence to ophthalmology follow-up and the related health belief of patients with diabetes are at low level with the deficiency of behavioral cues. It is suggested that medical alliance should play a critical role to improve the status quo by developing more screening and referrals.
研究生导师的能力和水平是影响研究生教育质量的最关键因素之一。针对眼科学研究生专业基础 知识薄弱、动手实践机会缺乏、创新能力不足,导师队伍教学主动性不强、活力欠佳等问题,中 山眼科中心逐步建立了“行政+专家”的双重教学管理架构,引导激励教师积极主动参与、推动研 究生课程改革、科研创新能力培训、教学信息化建设、教学质控与学生管理等各项教学改革与决 策,通过不断完善教师参与教学改革共同治理的长效机制,打造高素质的教师队伍,实现高质量 的眼科学研究生培养。
The ability and level of postgraduate tutor is one of the key factors affecting the quality of graduate education. In view of the weak basic ophthalmic knowledge, lack of practical opportunities and the inefficiency in innovation ability among ophthalmology graduates, as well as the lack of initiative and vitality in teaching team, Zhongshan Ophthalmic Center, Sun Yat-Sen University has been gradually established the dual management structure of “administration and experts”. By guiding and encouraging the teachers participate in the curriculum reform of graduates, scientific research ability training, management informatization, the teaching quality control, student administration and so on. Through improving the long-term mechanism of teachers’ participation in teaching reform governance, the quality of teachers has been improved, which promote the high-quality development of ophthalmology graduate education.
住院医师规范化培训(简称“住培”)是我国新医改的一项重要举措,旨在通过住培来使我国临床 整体医疗水平同质化提高,解决民众日益增长的医疗需求和各地医疗发展不平衡之间的矛盾。我 国眼科住培改革经历十余年,在追求同质化的实践中发现一些值得重视的问题,如教学师资的选 拔和培训、临床操作类教学的落实、教学师资待遇的提升以及包括人文在内的住院医师诊疗能力 全面培养等。本文探讨了这些问题的根源和解决方法,希望通过改革将住培这一临床医学基础工 程更好的落到实处。
Standardized resident training (called ‘ZhuPei’ for short in Chinese) is an important measure of the New Healthcare Reform in China, aiming to promote the homogenization of clinical medicine level which tackles the constraints of unbalanced medical development so that people’s ever-growing medical demand can be supplied. With the reality of over 10 years’ ophthalmology standardized resident training experience in China, certain crucial issues are put forward, such as the selection and training of teachers, the implementation of clinical training course, the concern of teachers’ salary and promotion, the residents’ capabilities of diagnosis and treatment including humanistic care, etc. This article discusses the root causes of those issues and the solutions to them, intending to implement the standardized resident training as a basic clinic medical engineering through the New Healthcare Reform
目的:建立眼科专科护理门诊及探讨其实施效果。方法:调查2020年7月开展眼科护理门诊以来至2022年3月就诊的206例患者满意度和健康知识知晓率,并由医生、护士对眼科专科护理门诊的实践效果进行评价。结果:206例患者满意度较好,总分在90以上;眼科专科护理门诊针对患者问题提供个体化护理服务,进行眼部检查206人次,健康教育206人次,滴眼药水、涂眼药膏操作示范184人次,术后特殊体位指导38人次,滤过泡按摩26人次,为患者提供了多元化护理服务;同行评价显示眼科护理门诊体现了护士的专业价值;患者就诊后的健康知识知晓率明显高于就诊前,差异有统计学意义(P<0.001)。结论:眼科专科护理门诊的开设满足了患者多元化护理服务需求,提高了患者满意度和健康知识知晓率,提升了护士的自我价值感,为专科护士提供了职业发展平台,促进了眼科专科护理的发展。
Objective: To explore the establishment and effect of ophthalmology specialist nursing clinic. Methods: To Investigate the satisfaction and the awareness rate of health knowledge of 206 patients who visited ophthalmology specialist nursing clinic from July 2020 to March 2022. Doctors and nurses were investigated for evaluation of the clinic. Results: A total of 206 patients were satisfied with a total score of 90 points or more; the ophthalmology specialist nursing clinic provided individualized nursing services for patients’ problems, conducted 206 eye examinations and 206 health education, and demonstrated the operation of eye drops and eye ointment 184 times. 38 patients received post-operative special posture guidance and 26 patients received filter bubble massages. The clinic provided patients with diversified nursing services. Peer reviews showed that the ophthalmological care clinic reflects the professional value of nurses; the awareness rate of health knowledge after the patient’s visit was significantly higher than that before the visit, and the difference was statistically significant (P<0.001). Conclusion: The establishment of ophthalmology specialist nursing clinic meets patients for diversified nursing services, improves patients’ satisfaction and health knowledge awareness rate, and improves nurses’ sense of self-worth. Furthermore, it provides a career development platform for specialist nurses and promotes the development of ophthalmic specialist nursing.
近年来随着人类生活方式的改变、用眼频率的增加,眼科药物的市场需求持续增长,但是目前眼病治疗仍面临“缺医少药”的困境。由于新药研发面临成本高、周期长、成功率低的风险,眼科药物创新迭代的进程日趋缓慢。人工智能(artificial intelligence,AI)作为一种全新的技术手段,有望赋能眼科药物研发的全过程,包括药物靶点发现、化合物筛选、药物动力学模型创新与临床试验开展等,以期为眼科药物研发“降本增效”。且随着大数据体系的完善、硬件计算力的提升以及生命科学与智能科学的深度融合,AI在眼科药物研发中的作用将进一步得到提升,助力眼科药物研发实现从精准化到智能化的跨越。
With the change of human lifestyle and overuse of eyes in recent years, the market demand for ophthalmic drugs continues to grow. However, the ocular therapy is still facing the shortage of doctors and drugs. Due to the risk of high cost, long lead time and low success rate, the process of novel ophthalmic drug innovation and iteration is getting slower. As an emerging technology, artificial intelligence is expected to enable the whole process of ophthalmic drug discovery and development, including drug target discovery, compound screening, pharmacokinetic model innovation and clinical trials, thus reducing R&D costs and increase efficiency for ophthalmic drug discovery and development. In addition, with the improvement of big data, hardware calculation and the deep integration of life science and intelligent science, the role of artificial intelligence in ophthalmic drug discovery and development will be significant improved , contributing to achieve the leap from precision to intelligence.
目的:构建、实施并评价眼科日间手术健康教育模式的有效性。方法:依托信息化手段和Teach-back法,构建眼科日间手术健康教育模式。选取2020年1月至2021年5月中山大学中山眼科中心日间手术患者177例为研究对象,采用历史对照研究法,对照组97例,观察组80例。对照组予常规健康宣教,观察组予基于信息化和Teach-back法的健康教育模式,比较2组患者健康教育知识掌握情况和围手术期护理满意度。结果:观察组健康教育知识自评得分和实际掌握程度得分均显著高于对照组(P<0.05);2组患者体位护理知识得分和护理工作满意度得分之间的差异无统计学意义(P>0.05)。结论:构建基于信息化和Teach-back法的健康教育模式可以提高眼科日间手术患者健康教育知识掌握度,但对于患者体位护理知识掌握程度和护理工作满意度方面的影响还需要进一步研究。
Objective: To construct, implement and evaluate the effectiveness of the health education model for ophthalmic day surgery. Methods: The health education model for ophthalmic day surgery was constructed relying on information-oriented means and Teach-back method. A total of 177 patients with day surgery in Zhongshan Ophthalmic Center from January 2020 to May 2021 were selected as the research subjects and divided into a control group (n=97) and an intervention group (n=80) by historical comparative study. The intervention group was carried out with the health education model based on information-oriented means and Teach-back method, while the control group received the routine health education. The health education knowledge and perioperative nursing satisfaction were compared between the 2 groups. Results: The scores of self-evaluation and nurse evaluation for health education knowledge in the intervention group were significantly higher than those in the control group (P<0.05). There was no significant difference in body position nursing knowledge score and nursing satisfaction score between the 2 groups (P>0.05). Conclusion: The health education model based on information oriented means and Teach-back method can improve the health education knowledge level of patients with ophthalmic day care surgery. In the meanwhile, further studies will be needed to explore the effects on patients in body position nursing knowledge and nursing satisfaction.
手术前常规检查在临床诊疗中被广泛应用,但在一些低风险择期手术前对患者进行常规检查,对提高医疗质量并无帮助,反而降低了医疗效率,增加了医疗费用。为提高效率,一些地区、机构和专家学者陆续通过宣传教育、发表共识、制定指南等方式控制无指征术前常规检查,但效果仍依赖于执业者的重视程度和专业水平。大数据机器学习方法以其标准化、自动化的特点为解决这一问题提供了新的思路。在回顾已有研究的基础上,我们抽取2017至2019年在中山大学中山眼科中心进行眼科手术的3.4万名患者的病史和体格检查资料大数据,涵盖年龄、性别等口学信息,诊断、既往疾病等病史信息,视功能、入院时身体质量指数(BMI)等体格检查信息。并以此为基础使用机器学习方法预测术前胸部X线检查是否存在异常,受试者操作特性曲线(receiver operating characteristic curve,ROC)曲线下面积达到0.864,预测准确率可达到81.2%,对大数据机器学习精简术前常规检查的新方式进行了先期探索。
Preoperative routine tests are widely prescribed in clinical settings. However, these tests do not help improving the quality of medical care in low-risk elective surgery. Instead, they are associated with lower efficiency and increasing fees. To improve the efficiency, many regions, institutions, and scholars have attempted to reduce preoperative routine tests without indications through propaganda, education, consensus, and guidelines. Nevertheless, the effects are still highly dependent on the expertise and emphasis of practitioners. Machine learning based on big data provide a new solution with its standardization and automation. Through literature review, we extracted the big data, including demographic features such as sex and age, histories including diagnosis and chronic diseases, and physical examination features such as visual function and body mass index. A total of 34 000 patients undergone ocular surgeries in Zhongshan Ophthalmic Center, Sun Yat-sen university from 2017 to 2019. Machine learning was adopted to predict the risk of finding abnormalities in chest X-ray examination, with an accuracy of 81.2%. Area under the Receiver Operating Characteristic curve was 0.864. The study could be an early exploration into the field of simplifying preoperative tests by machine learning.
建立标准化的数据中心有利于收集高质量数据资源与促进医学人工智能的发展,在医疗大数据的基础上建立不同应用场景的医疗人工智能系统,整合、搭建可满足多种疾病诊疗需求的智能服务云平台,全面提升智能医疗管理的效率。本文以眼科为研究基础,对眼科数据中心和智能服务云平台的建设经验进行总结分析,为眼科及其他专科开展人工智能研究、建立数据中心、搭建智能服务云平台等方面提供参考。
The establishment of standardized data center can promote the accumulation of high-quality data resources and the development of medical artificial intelligence. On the basis of medical big data, medical artificial intelligence systems in different application scenarios can be established and integrated into an intelligent service cloud platform, which improves the management efficiency of intelligent medical systems. This article takes ophthalmology as a prototype to summarize the experience of the establishment of ophthalmic data center and intelligent service cloud platform, aiming to provide reference and guidance for ophthalmology and other specialties to carry out artificial intelligence research, establish data center and build an intelligent service cloud platform.
目的:评价StarEyes 900(万灵帮桥,中国)与IOLMaster 500(蔡司,德国)2种眼科光学生物测量仪测量健康受试者眼部参数的差异性、相关性及一致性。方法:前瞻性观察2021年6月至7月于中山大学中山眼科中心进行眼部检查的62例健康受试者共124只眼,分别通过StarEyes 900与IOLMaster 500完成眼轴长度(axial length,AL)、最小角膜屈光力径线上角膜曲率(keratometry for the flattest meridian,Kf)、最大角膜屈光力径线上角膜曲率(keratometry for the steepest meridian,Ks)、平均角膜曲率(mean keratometry,Km)、角膜白到白直径(white-to-white corneal diameter,WTW)等参数的测量,采用配对t检验、Pearson相关分析和Bland-Altman法对其测量结果的差异进行评价。结果:StarEyes 900与IOLMaster 500测量的AL分别为(24.18±1.08) mm和(24.16±1.08) mm;Kf分别为(42.84±1.65) D和(43.04±1.57) D;Ks分别为(44.34±1.90) D和(44.17±1.80) D;Km分别为(43.59±1.73) D和(43.61±1.64) D;WTW分别为(11.64±0.29) mm和(11.64±0.30) mm。StarEyes 900与IOLMaster 500在测量Km、WTW时,其差异无统计学意义(P>0.05),而在AL、Kf、Ks的测量上差异有统计学意义(P<0.01)。其中StarEyes 900所测的AL和Ks值大于IOLMaster 500,而Kf、Km和WTW值则小于IOLMaster 500。经Pearson相关分析,2种仪器的测量结果均表现出较高的相关性;经Bland-Altman法评价,2种仪器的测量结果均表现出较高的一致性。结论:StarEyes 900与IOLMaster 500测量的Km、WTW均表现出较高的一致性,2种方法可互为参考;测量的AL、Kf、Ks存在的差异具有统计学意义;各项参数的测量均具有较好的相关性和一致性。
Objective: To evaluate the difference, correlation and agreement of eye parameters measured by StarEyes 900 visual function analyzer (Wan Ling Bang Qiao, China) and IOLMaster 500 (Carl Zeiss, Germany) swept-source optical coherence tomography biometer. Methods: A prospective study was designed involving 62 healthy subjects (124 eyes) undergoing ophthalmic examinations in Zhongshan Ophthalmic Center from June 2021 to July 2021. Data from their both eyes were selected for analysis in all patients. Axial length (AL), keratometry for the steepest meridian (Ks), keratometry for the flattest meridian (Kf), mean keratometry (Km) and corneal diameter (WTW) were measured by the StarEyes 900 visual function analyzer and IOLMaster 500 swept-source optical coherence tomography biometer. A paired t-test was used to analyze the differences in measurement results. The Pearson correlation coefficient was used to analyze the correlation. Bland-Airman method was used to assess the agreement of the instruments. Results: The AL, Kf, Ks, Km and WTW obtained by StarEyes 900 and IOLMaster 500 were (24.18±1.08) mm and (24.16±1.08) mm, (42.84±1.65) D and (43.04±1.57) D, (44.34±1.90) D and (44.17±1.80) D, (43.59±1.73) D and (43.61±1.64) D, and (11.64±0.29) mm and (11.64±0.30) mm, respectively. The Km and WTW of the two devices showed no significant difference (P>0.05), while the AL, Ks and Kf showed significant differences (all P<0.01). The AL and Ks obtained by StarEyes 900 were higher than by IOLMaster 500, while the Kf, Km and WTW were lower. The measurements of five aforementioned biometric parameters by both devices showed good correlation by Pearson correlation coefficient and good agreement by Bland-Airman. Conclusion: The Km and WTW measured by the two devices showed no significant difference, and provided references to one another. The difference in AL, Kf and Ks between the two devices showed significant differences. All of the measurements showed good correlation by Pearson correlation coefficient and good agreement by Bland-Airman.
克服现有婴幼儿眼科手术病号服存在的穿脱不便、容易着凉、无法避免患儿抓挠术眼等问题,提供一种便于穿脱、保护胸腹部和术眼的婴幼儿眼科手术病号服*。
Abstract Present patient clothing for infants and children with ophthalmic surgery have several limitations, which is inconvenient to wear, hard to keep warm and difficult in preventing patients from scratching eyes underwent surgery. A modified patient clothing for infants and children is designed to overcome these existing problems.