Adoption of network and plan-do-check-action in the international classification of disease 10 coding

BACKGROUND with the widespread application of computer network systems in the medical field,the plan-do-check-action(PDCA)and the international classification of diseases tenth edition(ICD-10)coding system have also achieved favorable results in clinical medical record management.However,research on their combined application is relatively lacking.Objective:it was to explore the impact of network systems and PDCA management mode on ICD-10 encoding.Material and Method:a retrospective collection of 768 discharged medical records from the Medical Record Management Department of Meishan People’s Hospital was conducted.They were divided into a control group(n=232)and an observation group(n=536)based on whether the PDCA management mode was implemented.The two sets of coding accuracy,time spent,case completion rate,satisfaction,and other indicators were compared.AIM To study the adoption of network and PDCA in the ICD-10.METHODS A retrospective collection of 768 discharged medical records from the Medical Record Management Department of Meishan People’s Hospital was conducted.They were divided into a control group(n=232)and an observation group(n=536)based on whether the PDCA management mode was implemented.The two sets of coding accuracy,time spent,case completion rate,satisfaction,and other indicators were compared.RESULTS In the 3,6,12,18,and 24 months of PDCA cycle management mode,the coding accuracy and medical record completion rate were higher,and the coding time was lower in the observation group as against the controls(P<0.05).The satisfaction of coders(80.22%vs 53.45%)and patients(84.89%vs 51.72%)in the observation group was markedly higher as against the controls(P<0.05).CONCLUSION The combination of computer networks and PDCA can improve the accuracy,efficiency,completion rate,and satisfaction of ICD-10 coding.

Chronic Diseases of Childhood and the International Classification of Functioning, Disability, and Health: A Systematic Review

The increase in chronic diseases in childhood highlights the need for a biopsychosocial approach to deal with the complexity of these health conditions. The International Classification of Functioning, Disability, and Health (ICF) results from the need to implement new explanatory evaluative and therapeutic models. Thus, the present systematic review aims to identify published studies on the use of the ICF in chronic childhood diseases. As a secondary objective, to map the themes that have already been studied in the area to support the discussion on the expansion of the use of this classification in health services. The systematic review followed the PRISMA protocol, and the model was the PICO acronym, where Population was children and adolescents with chronic diseases, Intervention/Exposure was evaluation based on ICF concepts, Comparator was any tool, instrument, or intervention, and outcome was direct or indirect use of the ICF. We selected eight articles, five of which used the ICF as a conceptual tool and three as a classification system, divided into the following themes: quality of life, evaluation of patients (without using coding) and mapping the inclusion of the activity’s results and participation in clinical trials. Thus, use of the ICF in clinical practice is still incipient, although it has been recommended in guidelines. Further studies are necessary to expand the number of contributions by the ICF and to develop the necessary approaches for understanding the classification’s use.

Accuracy of an administrative database for pancreatic cancer by international classification of disease 10th codes: A retrospective large-cohort study

BACKGROUND Korean National Health Insurance(NHI)claims database provides large-cohort.However,studies regarding accuracy of administrative database for pancreatic cancer(PC)have not been reported.We aimed to identify accuracy of NHI database regarding PC classified by international classification of disease(ICD)-10 codes.AIM To identify the accuracy and usefulness of administrative database in PC and the accurate ICD codes for PC with location.METHODS Study and control groups were collected from 2003 to 2016 at Seoul National University Bundang Hospital.Cases of PC were identified in NHI database by international classification of diseases,10th revision edition(ICD-10 codes)supported with V codes.V code is issued by medical doctors for covering 95%of medical cost by Korean government.According to pathologic reports,definite or possible diagnoses were defined using medical records,images,and pathology.RESULTS A total of 1846 cases with PC and controls were collected.Among PC,only 410(22.2%)cases were identified as specific cancer sites including head in 234(12.7%)cases,tail in 104(5.6%)cases and body in 72(3.9%)cases.Among PC,910(49.3%)cases were diagnosed by definite criteria.Most of these were adenocarcinoma(98.0%).The rates of definite diagnosis of PC were highest in head(70.1%)followed by body(47.2%)and tail(43.3%).False-positive cases were pancreatic cystic neoplasm and metastasis to the pancreas.In terms of the overall diagnosis of PC,sensitivity,specificity,positive predictive value,and negative predictive value were 99.95%,98.72%,98.70%,and 99.95%,respectively.Diagnostic accuracy was similar both in terms of diagnostic criteria and tumor locations.CONCLUSION Korean NHI claims database collected according to ICD-10 code with V code for PC showed good accuracy.

Classification of diabetic retinopathy and diabetic macular edema

The global incidence and prevalence of diabetes mellitus(DM)have reached epidemic proportions.Estimates indicate that more than 360 million people will be affected by DM by 2030.All of these individuals will be at risk of developing diabetic retinopathy(DR).It is extremely important to categorize,classify and stage the severity of DR in order to establish adequate therapy.With proper management more than 90%of cases of visual loss can be prevented.The purpose of the current paper is to review the classification of DR with a special emphasis on the International Clinical Disease Severity Scale for DR.This new classification is simple to use,easy to remember and based on scientific evidence.It does not require specialized examinations such as optical coherence tomography or fluorescein angiography.It is based on clinical examination and applying the Early Treatment of Diabetic Retinopathy Study 4:2:1 rule.

A survey of automated International Classification of Diseases coding:development,challenges,and applications

The International Classification of Diseases(ICD)is an international standard and tool for epidemiological in-vestigation,health management,and clinical diagnosis with a fundamental role in intelligent medical care.The assignment of ICD codes to health-related documents has become a focus of academic research,and numerous studies have developed the process of ICD coding from manual to automated work.In this survey,we review the developmental history of this task in recent decades in depth,from the rules-based stage,through the traditional machine learning stage,to the neural-network-based stage.Various methods have been introduced to solve this problem by using different techniques,and we report a performance comparison of different methods on the pub-licly available Medical Information Mart for Intensive Care dataset.Next,we summarize four major challenges of this task:(1)the large label space,(2)the unbalanced label distribution,(3)the long text of documents,and(4)the interpretability of coding.Various solutions that have been proposed to solve these problems are analyzed.Further,we discuss the applications of ICD coding,from mortality statistics to payments based on disease-related groups and hospital performance management.In addition,we discuss different ways of considering and evaluat-ing this task,and how it has been transformed into a learnable problem.We also provide details of the commonly used datasets.Overall,this survey aims to provide a reference and possible prospective directions for follow-up research work.

Representation of Specific Diagnosis for Low Back Pain Using the 11^(th) Revision of International Classification of Diseases and Related Health Problems: Perspectives of Conventional Medicine and Traditional Medicine

Background:The 11th revision of the International Classification of Diseases and Related Health Problems(ICD-11)was released on June 18,2018,by the World Health Organization and will come into effect on January 1,2022.Apart from the chapters on the classification of diseases in the conventional medicine(CM),a new chapter,traditional medicine(TM)conditions–Module 1,was added.Low back pain(LBP)is one of the common reasons for the physician visits.The classification codes for LBP in the ICD-11 are vital to documenting accurate clinical diagnoses.Methods:The qualitative case study method was adopted.The secondary use data for 100 patients were randomly selected using the ICD-11 online interface to find the classification codes for both the CM section and the TM Conditions–Module 1(TM1)section for LBP diagnosis.Results:Of the 27 codes obtained from the CM section,six codes were not relevant to LBP,whereas the other 21 codes represented diagnoses of LBP and its related diseases or syndromes.In the TM1 section,six codes for different patterns and disorders represented the diagnoses for LBP from the TM perspective.Conclusion:This study indicates that specific diagnoses of LBP can be represented by the combination of CM classification codes and TM1 classification codes in the ICD-11;the CM codes represent specific and accurate clinical diagnoses for LBP,whereas the TM1 codes add more accuracy to the diagnoses of different patterns from the TM perspective.

Traditional Medicine Diagnostic Codes in ICD-11 and Alternative Diagnostic Classifications in the Mainstream Healthcare

In 2018,the 11^(th) Edition of the International Classification of Diseases(ICD-11)defined a diagnostic code list for standard traditional medicine(TM)conditions.The codes improve patient safety by providing more comprehensive and accurate medical records for hospitals in the Western Pacific Region.In these facilities,TM is often a standard of care for those populations.In several mainstream media sources,writers are circumventing evidence-based peer-reviewed medical literature by unduly influencing public opinion and,in this case,against the new ICD-11 codes.The dangers imposed by the transgression of popular writing onto the discipline of peer-reviewed works are present since best practices in medical record-keeping will fail without the inclusion of TM in the ICD-11 codes.Such failures directly affect the health of the patients and policymakers in regions where TM and conventional medicine are combined.This article investigates the boundaries between substantial evidence and popular opinion.In this era where media is used to manipulate evidence,the reader’s use of sound judgment and critical thought are thwarted.This article also challenges three controversial themes in pop literature,including the threat to endangered species,increased patient risk,and contaminants in the TM.These themes are made without evidence and are,in fact,of flawed logic.There is no reason to assume that improved medical record-keeping and knowledge of patient cases increase risks.

Formulation and consideration of World Health Organization international classification of traditional medicine

In the 11th revision of the International Classification of Diseases(ICD),the World Health Organization included traditional medicine disorders and patterns originated from ancient Chinese medicine that are commonly used in China,Japan,Korea and elsewhere around the world.For the first time,a chapter on traditional medicine was incorporated,which has completely changed the status quo on the lack of information on traditional medicine and health statistics in the ICD.In this study,we systematically analyzed the background,structure,content and characteristics of the Traditional Medicine chapter,with focus on its positive effects on promoting the development and utilization of Traditional Chinese Medicine worldwide.

ILO国际尘肺影像分类法与我国尘肺诊断标准要点的比较

文章对国际劳工组织的国际尘肺影像分类法(ILO 2022)和我国尘肺病诊断标准(GBZ 70—2015)从胸片质量,肺区、小阴影、密集度和大阴影的定义和分级,胸膜病变,附加符号,诊断和分期,标准片,使用条件7个方面进行比较。虽然GBZ 70—2015在描述肺实质改变参数的定义,如肺区、小阴影、密集度、大阴影,与ILO 2022基本一致,但两者并不完全一样,我国的诊断标准为职业病诊断服务,在诊断分级上有自己的特点。我国将尘肺病分为三期,在分期时同时考虑了小阴影密集度和影响肺区。GBZ 70—2015未纳入医用显示屏读片,且仍使用以高千伏胸片为主的胶片为标准片,落后于ILO 2022。文章为GBZ 70-2015的修订提供了参考。

DRG与DIP的本质、异同与实践影响

DIP与DRG都是以临床实践中的诊断ICD-10和操作ICD-10-CM为基础进行的疾病分组,二者有着按病例支付的共性,差异是由于诊断和操作的颗粒度不同,导致了疾病分组的数量和病组间的差异性大小不同,对临床医疗行为、医疗管理和医保基金分配的影响不同。通过部分地区的实证数据比较发现,DRG支付更有利于医疗机构的补偿和控制不合理的医疗行为。对标美国、欧洲各国和日本的DRG分组的历史发展与演变,研判中国DRG和DIP分组的相对位置,为我国医保支付方式改革实践提供思路。

我国基层医疗诊断编码实施现况与优化策略

随着基层医药卫生体制改革的不断深化,基层卫生信息标准化建设愈发被重视。基层医疗诊断编码作为基层卫生信息化建设的重要环节,在提高基层医疗管理效率、促进基层医疗质量控制、有效收集基层医疗数据等方面都起着至关重要的作用。但我国长期以来沿用综合性医院使用的疾病分类作为基层医疗诊断编码使用,不仅导致基层医疗诊断不规范、无法统计的混乱状态,更可能造成基层医疗收集、记录、分析的数据出现缺失和误差。本文通过梳理国内外基层医疗诊断编码发展的历史沿革,指出当前我国基层医疗诊断编码所面临的5个主要问题:各方对基层医疗诊断编码的重视程度不足、缺乏统一的基层医疗诊断编码导致我国基层医疗功能与质量发展受限、我国基层医疗诊断编码与何种国际基层分类匹配存在分歧、基层医疗诊断编码本土化面临的诸多挑战及我国缺乏评价与优化基层医疗诊断编码的人才与工具。并在此基础上,结合国外基层医疗诊断编码的发展过程,提出我国各方应重视基层医疗诊断编码的发展,在进一步推动基层医疗信息建设与国际接轨的同时,基于目前试行的国际疾病分类编码(ICD)-11与基层医疗保健国际分类(ICPC)-3分类尽快制定全国统一的基层医疗诊断编码标准,并通过建立健全的基层医疗诊断编码人才培养体系,为我国基层医疗诊断编码的进一步实施和优化提供保障。

急性脑梗死诊断编码临床决策支持系统的研究与应用

目的研发急性脑梗死诊断编码临床决策支持系统(clinical decision support system,CDSS),并在具体临床应用环境中评价其对提高疾病编码的精准度是否具有积极作用。方法基于中国缺血性卒中亚型,建立诊断、病因、发病机制、责任血管、国际疾病分类(international classification of diseases,ICD)第11次修订版(ICD-11)知识库,开发ICD第10次修订版(ICD-10)急性脑梗死诊断编码CDSS。回顾性纳入首都医科大学附属北京天坛医院应用CDSS前(2017年1—6月)急性脑梗死(I63类目)患者主要诊断编码作为对照组,应用CDSS后(2023年1—6月)急性脑梗死患者主要诊断编码作为干预组。比较两组编码体现急性脑梗死病因与责任血管双轴心分类的情况,评估CDSS对编码精准度的影响。结果本研究研发了急性脑梗死诊断编码CDSS并集成入临床电子病历系统,临床医师可自主选择应用。验证过程共纳入1847例住院急性脑梗死患者,对照组849例,干预组998例。干预组I63类目诊断编码中体现病因与责任血管双轴心分类率高于对照组(93.99%vs.9.42%,P<0.001)。结论急性脑梗死诊断编码CDSS是一种融合临床实践与ICD-10分类规则的新编码模式,较传统编码方法精准度高。同时,CDSS为临床医师提供了编码自学工具,也可为获取病种诊疗质量控制数据提供帮助。

融合异构信息的自动国际疾病分类编码方法

针对自动国际疾病分类(ICD)编码中医学电子健康记录(EHR)的结构多样性以及编码间复杂的关联关系等特点,提出一种融合异构信息的自动ICD编码方法AIC-HI(Automatic ICD Coding integrating Heterogeneous Information)。首先,针对编码任务中结构化编码、半结构化描述、非结构化医学文本这3种异构数据的不同特性设计了多种特征提取器;其次,构建编码知识图谱拟合编码的层次结构关系,将不同分支间关联关系转化为包含头尾编码的三元组;再次,运用表征学习融合编码和描述信息计算标签特征;最后,通过注意力机制提取在非结构化文档中与编码标签最为相关的特征表示。实验结果表明,与次优的基线模型MARN(Multitask bAlanced and Recalibrated Network)相比,AIC-HI在真实临床数据集MIMIC-Ⅲ上所有编码的微观F1值提升了4.3个百分点。

某三级医院内科住院患者疾病组分析

目的分析中山市某三级医院内科系统住院患者特点及疾病组变化规律,探索医院疾病顺位、收治特征的变化趋势,为提高医院管理水平提供科学依据。方法采用回顾性分析方法,对中山市某三级医院内科系统2018年1月1日—2022年12月31日26053例出院患者的年龄、住院时间、例均权重、疾病组进行分析。结果近5年,内科系统出院患者数量无明显的增长趋势。出院患者的年龄、例均权重、CMI存在增长趋势。结论疫情后,某院内科住院患者疑难程度逐年提高,疾病大类构成稳定。循环系统、呼吸系统、神经系统疾病相关学科CMI值较高,此类学科作为内科系统中难度较高的板块,应该重点提升诊治水平和服务质量,为人民群众提供更优质的诊疗服务。

恶性肿瘤个人史分类编码存在的问题与探讨

目的通过回顾总结某肿瘤专科医院恶性肿瘤个人史编码存在的问题,分析编码错误原因,为编码员更好地掌握恶性肿瘤个人史编码方法提供参考。方法检索某肿瘤专科医院2020年1月1日一2021年12月31日具有疾病诊断编码Z85的病案,依据ICD-10分类原则逐一核查,统计编码Z85使用错误的情况。结果具有编码Z85的病案共1632份,其中Z85编码使用错误共计160例,错误率为9.80%;160例错误病历中,Z85编码亚目出现错误66例,占错误病历总数的41.25%;Z85使用情况错误94例,占错误病历总数的58.75%。编码错误的原因分别为:恶性肿瘤史肿瘤部位归类错误(26.25%)、编码员滥用残余类目Z85.9(15.00%)、肿瘤处于现患状态、观察期(38.75%)、临床医师填写不规范导致编码错误(20.00%)。结论恶性肿瘤史分类复杂,使用情况复杂,编码员要避免使用残余类目,熟练掌握Z85的使用情况,多与临床医师沟通,准确进行编码。

构建电子病历逻辑校验原则对医院国际疾病分类编码正确率的影响

目的:分析构建电子病历逻辑校验原则对医院国际疾病分类(ICD)编码正确率的影响。方法:选取2021年1月—2022年12月高州市人民医院归档的220000份电子病历及作为研究对象,其中2021年1—12月112000份,2022年1—12月108000份。筛查2021年1—12月违反ICD编码逻辑规则的电子病历,分析错误原因,制定适合高州市人民医院的电子病历ICD逻辑校验原则。将ICD逻辑校验原则应用于2022年1—12月住院病案首页编码工作中。比较2021年及2022年住院病案首页ICD编码填写正确率及住院病案首页数据质量。结果:2022年ICD编码正确率高于2021年,差异有统计学意义(P<0.001)。2022年住院病案首页数据质量评分高于2021年,差异有统计学意义(P<0.001)。结论:构建电子病历逻辑校验原则可减少逻辑编码错误率,提高住院病案首页数据质量。

住院病案首页解读课程的学情调查分析

目的 了解临床专业学生对住院病案首页的学业情绪情况,分析影响教学效果的因素并探讨改进教学的措施。方法 2022年5月,利用问卷星线上调查问卷对已学习《住院病案首页解读》课程的重庆医科大学第二临床学院2018级的158名临床学生进行学情调查。结果 158名临床学生参与调查,66名(41.77%)临床学生对本专业开设《住院病案首页解读》课程表示很满意,87名(55.06%)表示比较满意;30名(18.99%)临床学生表示肯定会利用课余时间学习住院病案首页相关知识,88名(55.7%)表示大概率会,40名(25.51%)表示不会。结论 将住院病案首页解读或国际疾病分类固化为医学院校临床专业学生的必修课,加强临床学生课余学习住院病案首页相关知识意识并培养其课余自主学习能力,加强临床学生对住院病案首页填写的准确性在疾病诊断相关分组(diagnosis related groups,DRG)分组中重要性的认识,以提升临床专业学生对住院病案首页的情绪和知识认知。

对接国际标准的高质量疾病分类:现状与思考

随着国际疾病分类(international classification of diseases,ICD)在我国医疗评价和医保支付体系中的广泛应用,其重要性日益凸显,并备受业界关注。在ICD快速推广和普及的同时,临床也产生了不同的工作模式,甚至一些理解上的分歧。部分医疗机构严格限定医师必须在ICD疾病、手术名称范围内选择临床诊断并同步带入编码,弱化甚至替代专业编码人员进行编码环节操作,给临床实际工作带来了一定困扰,并导致数据质量下降。本文深入剖析临床医师使用疾病分类诊断可能带来的困惑以及疾病分类应用中的常见误区,指出病案首页中医师填写的诊断为疾病命名,而ICD属于分类诊断,二者的目的和作用具有本质上的差异。建议医师了解ICD编码对临床诊断书写的要求,回归到以医疗为核心的思维中,并采用疾病命名法对疾病诊断进行准确记录。对于疾病分类数据而言,其高质量的关键在于严格遵循ICD的分类规则,保持与国际标准接轨;由专业的病案编码人员在接受卫生信息专业的知识体系训练,学习和掌握国际分类规则的基础上履行责任,确保将临床诊断准确转化为分类编码。

基于ICD-11的广州市中老年人消渴病疾病负担归因于中医体质分析

背景第72届世界卫生大会审议通过了《国际疾病分类第十一次修订本》(ICD-11),首次将起源于中医药的传统医学纳入章节编码,其中,消渴病编码为SD71(TM1)。目前,消渴病是临床高发疾病,中老年人是消渴病高发人群,中医体质偏颇是消渴病危险因素。目前尚未见到中医疾病负担及危险因素的研究。目的基于ICD-11传统医学章节及中医国家标准,测算广州市中老年人消渴病疾病负担,并归因于中医体质,评估中医体质监测在健康管理中的作用,为消渴病中医防治以及体质学说的应用提供参考。方法采用横断面调查的方法,于2020年,调查广州市≥50岁中老年人消渴病患病率及中医体质分布。运用全球疾病负担(GBD)的综合理论,测算广州市中老年人群消渴病的早死寿命损失年(YLL)、伤残寿命损失年(YLD)和伤残调整寿命年(DALY),评估广州市消渴病疾病负担情况。采用相对危险度(RR)评估不同中医体质对中老年人消渴病疾病的危险性。结果共调查广州市中1576名老年人,失访55名,回收有效问卷1521份,有效应答率为96.51%。其中男782名,年龄62(56,69)岁;女739名,年龄62(55,70)岁。广州市中老年人消渴病患病率为13.08%,标化患病率为12.64%。广州市中老年人体质分布最多的是痰湿质、气虚质、湿热质;其中消渴病患者分布最多的是痰湿质、阴虚质、气虚质。消渴病疾病负担DALY率为86.46‰,其中YLL率为4.86‰,YLD率为81.60‰。广州市中老年人单一体质占比为48.98%,复合体质占比为51.02%。阴虚质是导致消渴病的危险体质(RR=1.73,P<0.01),导致了疾病负担33092 DALY,DALY率为10.98‰;占消渴病中老年人群疾病负担的12.70%。就不同年龄段而言,60~69岁年龄段痰湿质(RR=1.62,P<0.05)、阴虚质(RR=1.80,P<0.05)是危险体质,其中,痰湿质导致的消渴疾病负担为18530 DALY,DALY率为18.75‰,占该年龄段消渴病疾病负担的21.63%。阴虚质导致的消渴疾病负担为10520 DALY,DALY率为10.65‰,占该年龄段消渴病疾病负担的12.28%。痰湿质与阴虚质联合导致的疾病负担为26780 DALY,DALY率为27.10‰,占该年龄段消渴病疾病负担的31.26%。就不同性别而言,男性痰湿质(RR=2.29,P<0.01),女性阴虚质(RR=2.27,P<0.01)是消渴病的危险体质。中老年男性痰湿质导致的消渴病疾病负担为45017 DALY,导致的DALY率为30.96‰,占中老年男性消渴病疾病负担的36.82%。女性阴虚质导致的消渴疾病负担为28753 DALY,导致的DALY率为18.43‰,占中老年女性消渴病疾病负担的20.79%。结论广州市≥50岁中老年人消渴病患病率较高,消渴病疾病负担沉重。阴虚质、痰湿质是导致中老年人消渴病的危险体质。建议进行中医体质监测与管理,以有效降低消渴病疾病负担。

基于ICD-11传统医学章节的消渴病伤残权重研究

背景《国际疾病分类第十一次修订本(ICD-11)》的审议通过,首次将包括中医药在内的传统医学章节纳入其中。伤残权重是量化非致死性疾病和伤害对健康损失的权重系数,是衡量疾病负担的重要参数。目的基于ICD-11传统医学章节,调查消渴病伤残权重,为中医疾病负担测算提供参考,为建立与国际标准相衔接并体现中医药卫生服务信息的统计网络奠定基础。方法于2020-06-01—2021-06-01,运用视觉模拟法(VAS)在临床中医师、健康人群中进行消渴病各下位类伤残权重调查。运用带有VAS标尺的欧洲生命质量量表(EQ-5D-3L)在患者中进行伤残权重调查,并对调查结果进行专家意向论证。结果对中医师调查的VAS权重显示,上消0.300(0.185,0.380),中消0.430(0.368,0.568),下消0.585(0.510,0.738),消渴厥0.725(0.660,0.908)。对患者调查的消渴病伤残权重显示,患者VAS转换权重为上消0.310(0.225,0.373),中消0.395(0.335,0.453),下消0.445(0.360,0.513),消渴厥0.590(0.550,0.698);调查员赋值权重为上消0.152(0,0.311),中消0.240(0,0.275),下消0.380(0.186,0.622),消渴厥0.484(0.311,0.814)。对健康人调查的VAS权重显示上消0.210(0.150,0.390),中消0.345(0.260,0.510),下消0.425(0.313,0.748),消渴厥0.640(0.380,0.898)。各调查方式得到的上消、中消、下消、消渴厥伤残权重不同,差异有统计学意义(H=153.883、76.561、34.575、74.014,P<0.001)。上消、中消、下消、消渴厥的对中医师调查的VAS权重、患者VAS转换权重、调查员赋值权重、对健康人群调查的VAS权重比较,差异有统计学意义(H=10.543、35.692、19.924、16.327,P<0.05)。通过专家意向论证,认同了消渴病在标准化框架下按照上消、中消、下消、消渴厥的分类进行伤残权重测算的方法;定性认同了上消、中消、下消、消渴厥伤残权重逐渐加重;基本认同了对中医师调查的伤残权重。结论初步探索了基于ICD-11传统医学章节以及中医国家标准,运用VAS法以及欧洲生命质量量表进行消渴病伤残权重调查的方法,为中医疾病负担测算提供了参考。研究结果通过了专家意向论证。广州市消渴病伤残权重较重,应重视因伤残导致的消渴病健康寿命年的损失,提升患者的生命质量。