• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

[调整后的发病群组:一种用于初级保健的新型多重发病测量方法]

[Adjusted morbidity groups: A new multiple morbidity measurement of use in Primary Care].

作者信息

Monterde David, Vela Emili, Clèries Montse

机构信息

Instituto Catalán de la Salud, Departamento de Salud, Generalidad de Cataluña, Barcelona, España.

Servicio Catalán de la Salud, Departamento de Salud, Generalidad de Cataluña, Barcelona, España.

出版信息

Aten Primaria. 2016 Dec;48(10):674-682. doi: 10.1016/j.aprim.2016.06.003. Epub 2016 Aug 3.

DOI:10.1016/j.aprim.2016.06.003
PMID:27495004
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6879171/
Abstract

The Adjusted Morbidity Groups (GMA) is a new morbidity measurement developed and adapted to the Spanish healthcare System. It enables the population to be classified into 6 morbidity groups, and in turn divided into 5 levels of complexity, along with one healthy population group. Consequently, the population is divided into 31 mutually exclusive categories. The results of the stratification in Catalonia are presented. GMA is a method for grouping morbidity that is comparable to others in the field, but has been developed with data from the Spanish health system. It can be used to stratify the population and to identify target populations. It has good explanatory and predictive results in the use of health resources indicators. The Spanish Ministry of Health is promoting the introduction of the GMA into the National Health System.

摘要

调整后的发病群组(GMA)是一种新开发并适用于西班牙医疗体系的发病率衡量方法。它能将人群分为6个发病群组,进而再分为5个复杂程度等级,同时还有一个健康人群组。因此,人群被划分为31个相互排斥的类别。文中展示了加泰罗尼亚地区分层的结果。GMA是一种发病率分组方法,与该领域的其他方法具有可比性,但它是依据西班牙卫生系统的数据开发的。它可用于对人群进行分层并识别目标人群。在使用卫生资源指标方面,它具有良好的解释和预测效果。西班牙卫生部正在推动将GMA引入国家卫生系统。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7495/6879171/620dc46e0c00/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7495/6879171/df8c2a78e80c/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7495/6879171/f45bd158f6ef/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7495/6879171/548e8beb4ccd/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7495/6879171/e94041de1cda/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7495/6879171/620dc46e0c00/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7495/6879171/df8c2a78e80c/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7495/6879171/f45bd158f6ef/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7495/6879171/548e8beb4ccd/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7495/6879171/e94041de1cda/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7495/6879171/620dc46e0c00/gr5.jpg

相似文献

1
[Adjusted morbidity groups: A new multiple morbidity measurement of use in Primary Care].[调整后的发病群组:一种用于初级保健的新型多重发病测量方法]
Aten Primaria. 2016 Dec;48(10):674-682. doi: 10.1016/j.aprim.2016.06.003. Epub 2016 Aug 3.
2
[Clinical validation of 2 morbidity groups in the primary care setting].[基层医疗环境中两个发病群体的临床验证]
Aten Primaria. 2020 Feb;52(2):96-103. doi: 10.1016/j.aprim.2018.09.016. Epub 2019 Feb 12.
3
[Validity of adjusted morbidity groups with respect to clinical risk groups in the field of primary care].[基层医疗领域中调整后的发病群组相对于临床风险群组的有效性]
Aten Primaria. 2019 Mar;51(3):153-161. doi: 10.1016/j.aprim.2017.09.012. Epub 2018 Feb 9.
4
[Concordance between stratification systems and identification of patients with multiple chronic diseases in Primary Care].[基层医疗中分层系统与多重慢性病患者识别之间的一致性]
Rev Calid Asist. 2017 Jan-Feb;32(1):10-16. doi: 10.1016/j.cali.2016.07.006. Epub 2016 Oct 14.
5
[Chronic diseases in the paediatric population: Comorbidities and use of primary care services].[儿科人群中的慢性病:合并症与初级保健服务的利用]
An Pediatr (Engl Ed). 2020 Sep;93(3):183-193. doi: 10.1016/j.anpedi.2019.12.019. Epub 2020 Mar 14.
6
[Adjusted morbidity groups: Characteristics and comorbidities in patients with chronic conditions according to their risk level in Primary Care].[调整后的发病群组:基层医疗中慢性病患者按风险水平划分的特征及共病情况]
Aten Primaria. 2020 Feb;52(2):86-95. doi: 10.1016/j.aprim.2018.12.007. Epub 2019 May 29.
7
[Validity of predictive power of the Adjusted Morbidity Groups (AMG) with respect to others population stratification tools.].调整后发病组(AMG)相对于其他人群分层工具的预测能力的有效性。
Rev Esp Salud Publica. 2020 Jul 3;94:e202007079.
8
Multimorbidity as a predictor of health service utilization in primary care: a registry-based study of the Catalan population.多病共存作为初级保健中卫生服务利用的预测因素:基于登记的加泰罗尼亚人群研究。
BMC Fam Pract. 2020 Feb 17;21(1):39. doi: 10.1186/s12875-020-01104-1.
9
[Impact of cardiovascular risk factors on the consumption of resources in Primary Care according to Clinical Risk Groups].[根据临床风险组,心血管危险因素对基层医疗中资源消耗的影响]
Aten Primaria. 2019 Apr;51(4):218-229. doi: 10.1016/j.aprim.2017.11.008. Epub 2018 Jun 13.
10
Strengths of primary healthcare regarding care provided for chronic kidney disease.初级医疗保健在慢性肾脏病护理方面的优势。
Rev Lat Am Enfermagem. 2016 Sep 9;24(0):e2801. doi: 10.1590/1518-8345.1234.2801.

引用本文的文献

1
Exposure to suppressive antibiotic therapy in women with recurrent urinary tract infections and severity of infections: a retrospective population-based cohort study.复发性尿路感染女性接受抑制性抗生素治疗与感染严重程度:一项基于人群的回顾性队列研究。
BMJ Open. 2025 Aug 16;15(8):e098371. doi: 10.1136/bmjopen-2024-098371.
2
A machine learning model exploring the relationship between chronic medication and COVID-19 clinical outcomes.一种探索慢性药物治疗与新冠肺炎临床结局之间关系的机器学习模型。
Int J Clin Pharm. 2025 Aug;47(4):1075-1086. doi: 10.1007/s11096-025-01955-7. Epub 2025 Jul 28.
3
The nursing process and total health cost variability: an analysis using machine learning.

本文引用的文献

1
[Concordance and usefulness of a stratification system for clinical decision making].[用于临床决策的分层系统的一致性和实用性]
Aten Primaria. 2017 Apr;49(4):240-247. doi: 10.1016/j.aprim.2016.04.009. Epub 2016 Sep 1.
2
Comparing measures of multimorbidity to predict outcomes in primary care: a cross sectional study.比较多种疾病指标以预测初级保健中的结局:一项横断面研究。
Fam Pract. 2013 Apr;30(2):172-8. doi: 10.1093/fampra/cms060. Epub 2012 Oct 8.
3
Designing health care for the most common chronic condition--multimorbidity.
护理过程与总体医疗成本变异性:一项使用机器学习的分析
BMC Nurs. 2025 Jul 1;24(1):738. doi: 10.1186/s12912-025-03304-5.
4
Identification of Clinical and Genomic Features Associated with SARS-CoV-2 Reinfections.与新型冠状病毒再次感染相关的临床和基因组特征识别
Viruses. 2025 Jun 11;17(6):840. doi: 10.3390/v17060840.
5
[Morbidity and use of healthcare resources of people in Primary Home Care].[初级家庭护理中人群的发病率及医疗资源利用情况]
Aten Primaria. 2025 Jun 21;57(11):103276. doi: 10.1016/j.aprim.2025.103276.
6
Impact of Integrating Social and Health Home Care Services in Catalonia: A Retrospective Cohort-Based Two-Year Study.加泰罗尼亚社会与健康居家护理服务整合的影响:一项基于回顾性队列的两年研究。
Int J Integr Care. 2025 May 16;25(2):15. doi: 10.5334/ijic.8909. eCollection 2025 Apr-Jun.
7
Diabetes diagnosis based on glucose control levels and time until diagnosis: a regression discontinuity approach to assess the effect on direct healthcare costs.基于血糖控制水平和诊断前时间的糖尿病诊断:一种用于评估对直接医疗成本影响的回归间断点方法。
Health Econ Rev. 2025 Mar 24;15(1):26. doi: 10.1186/s13561-025-00613-y.
8
Prevalence, diagnostic accuracy, and healthcare utilization patterns in patients with COPD in primary healthcare: a population-based study.基层医疗中慢性阻塞性肺疾病患者的患病率、诊断准确性及医疗服务利用模式:一项基于人群的研究
NPJ Prim Care Respir Med. 2025 Mar 21;35(1):17. doi: 10.1038/s41533-025-00419-9.
9
Low-density lipoprotein cholesterol levels and treatment intensity in secondary prevention of patients with ischaemic heart disease in the primary care setting: a real-world data registry study.基层医疗环境中缺血性心脏病患者二级预防的低密度脂蛋白胆固醇水平及治疗强度:一项真实世界数据登记研究
BJGP Open. 2025 Jul 23;9(2). doi: 10.3399/BJGPO.2024.0220. Print 2025.
10
Protocol for the enhanced management of multimorbid patients with COPD and severe asthma: role of indoor air quality.慢性阻塞性肺疾病(COPD)和重度哮喘合并症患者强化管理方案:室内空气质量的作用
BMJ Open Respir Res. 2025 Jan 20;12(1):e002589. doi: 10.1136/bmjresp-2024-002589.
为最常见的慢性病——多重疾病设计医疗保健服务。
JAMA. 2012 Jun 20;307(23):2493-4. doi: 10.1001/jama.2012.5265.
4
Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study.共病的流行病学及其对医疗保健、研究和医学教育的影响:一项横断面研究。
Lancet. 2012 Jul 7;380(9836):37-43. doi: 10.1016/S0140-6736(12)60240-2. Epub 2012 May 10.
5
Measures of multimorbidity and morbidity burden for use in primary care and community settings: a systematic review and guide.用于初级保健和社区环境的多种疾病和发病负担的衡量标准:系统评价和指南。
Ann Fam Med. 2012 Mar-Apr;10(2):134-41. doi: 10.1370/afm.1363.
6
Epidemiology and impact of multimorbidity in primary care: a retrospective cohort study.基层医疗中多种共病的流行病学和影响:一项回顾性队列研究。
Br J Gen Pract. 2011 Jan;61(582):e12-21. doi: 10.3399/bjgp11X548929.
7
Defining comorbidity: implications for understanding health and health services.定义共病:对理解健康和卫生服务的影响。
Ann Fam Med. 2009 Jul-Aug;7(4):357-63. doi: 10.1370/afm.983.
8
Multimorbidity in primary care: developing the research agenda.基层医疗中的多重疾病:制定研究议程。
Fam Pract. 2009 Apr;26(2):79-80. doi: 10.1093/fampra/cmp020.
9
Can disease management target patients most likely to generate high costs? The impact of comorbidity.疾病管理能否针对最有可能产生高额费用的患者?共病的影响。
J Gen Intern Med. 2007 Apr;22(4):464-9. doi: 10.1007/s11606-007-0130-7.
10
Prevalence of multimorbidity among adults seen in family practice.在家庭医疗中就诊的成年人中多种疾病并存的患病率。
Ann Fam Med. 2005 May-Jun;3(3):223-8. doi: 10.1370/afm.272.