意大利医疗行政数据库监测慢性病护理标准遵从性:优势与局限
意大利研究数据,通过比较行政数据库和医疗记录,评估监测慢性病护理标准遵从性的可靠性与局限性。

基本信息
资源简介
意大利医疗行政数据库监测慢性病护理标准遵从性:优势与局限
【数据集背景】
本数据集源站标题为《Monitoring compliance with standards of care for chronic diseases using healthcare administrative databases in Italy: Strengths and limitations》。配套论文《Monitoring compliance with standards of care for chronic diseases using healthcare administrative databases in Italy: Strengths and limitations》发表于 PLOS ONE(2017),DOI:10.1371/journal.pone.0188377。源站首次发布:2017-12-12。
【数据内容】
源站原始描述:Background A recent comprehensive report on healthcare quality in Italy published by the Organization of Economic Co-operation and Development (OECD) recommended that regular monitoring of quality of primary care by means of compliance with standards of care for chronic diseases is performed. A previous ecological study demonstrated that compliance with standards of care could be reliably estimated on regional level using administrative databases. This study compares estimates based on administr…
【数据结构与技术规格】
文件数 4 个,合计 236.03 KB。S1 Table.doc:application/msword,31.23 KB。S2 Table.doc:application/msword,33.28 KB。S3 Table.doc:application/msword,41.98 KB。数据集 DOI:10.1371/journal.pone.0188377。
【主题与分类】
源站学科分类:Medicine、Neuroscience、Biotechnology、Environmental Sciences not elsewhere classified、Cancer、Science Policy。主题标签:T 2DM hypertension、IAD estimates、healthcare quality、Economic Co-operation、glycated hemoglobin tests、Conclusion IAD、ischaemic heart disease、limitations Background、OECD、-14.1 percentage points。
【适用方向】
结构化表格数据可直接用于统计建模、特征工程与队列分析。
【获取与许可】
源站页面:https://plos.figshare.com/articles/dataset/Monitoring_compliance_with_standards_of_care_for_chronic_diseases_using_healthcare_administrative_databases_in_Italy_Strengths_and_limitations/5693656
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Gini, Rosa; J. Schuemie, Martijn; Pasqua, Alessandro; Carlini, Emanuele; Profili, Francesco; Cricelli, Iacopo; et al. (2017). Monitoring compliance with standards of care for chronic diseases using healthcare administrative databases in Italy: Strengths and limitations. PLOS ONE. Dataset
【使用注意】
· 源站最后修改于 2023-06-01,引用时请注意版本时效。
下载信息
注册下载
需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。
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公开数据集受托下载与技术交付服务。
提供高速下载与技术交付服务(收技术服务费,非数据销售)
暂未开放当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。
使用方式
数据集获取(Figshare)
- 源站标题:Monitoring compliance with standards of care for chronic diseases using healthcare administrative databases in Italy: Strengths and limitations
- DOI:10.1371/journal.pone.0188377
- 发布日期:2017-12-12
- 文件数:4 个
- 文件总体积:236.03 KB
- 源站页面:https://plos.figshare.com/articles/dataset/Monitoring_compliance_with_standards_of_care_for_chronic_diseases_using_healthcare_administrative_databases_in_Italy_Strengths_and_limitations/5693656
命令行下载
curl -L -o "S1 Table.doc" "https://ndownloader.figshare.com/files/9977545"
curl -L -o "S2 Table.doc" "https://ndownloader.figshare.com/files/9977554"
curl -L -o "S3 Table.doc" "https://ndownloader.figshare.com/files/9977560"
curl -L -o "S1 File.xls" "https://ndownloader.figshare.com/files/9977581"
文件清单
S1 Table.doc(31.23 KB)S2 Table.doc(33.28 KB)S3 Table.doc(41.98 KB)S1 File.xls(129.54 KB)
文件总体积 236.03 KB(源站 API 实测)。
数据说明
Background
A recent comprehensive report on healthcare quality in Italy published by the Organization of Economic Co-operation and Development (OECD) recommended that regular monitoring of quality of primary care by means of compliance with standards of care for chronic diseases is performed. A previous ecological study demonstrated that compliance with standards of care could be reliably estimated on regional level using administrative databases. This study compares estimates based on administrative data with estimates based on GP records for the same persons, to understand whether ecological fallacy played a role in the results of the previous study.
Methods
We compared estimates of compliance with diagnostic and therapeutic standards of care for type 2 diabetes (T2DM), hypertension and ischaemic heart disease (IHD) from administrative data (IAD) with estimates from medical records (MR) for the same persons registered with 24 GP’s in 2012. Data were linked at an individual level.
Results
32,688 persons entered the study, 12,673 having at least one of the three diseases according to at least one data source. Patients not detected by IAD were many, for all three conditions: adding MR increased the number of cases of T2DM, hypertension, and IHD by +40%, +42%, and +104%, respectively. IAD had imperfect sensitivity in detecting population compliance with therapies (adding MR increased the estimate, from +11.5% for statins to +14.7% for antithrombotics), and, more substantially, with diagnostic recommendations (adding MR increased the estimate, from +23.7% in glycated hemoglobin tests, to +50.5% in electrocardiogram). Patients not detected by IAD were less compliant with respect to those that IAD correctly identified (from -4.8 percentage points in proportion of IHD patients compliant with a yearly glycated hemoglobin test, to -40.1 points in the proportion of T2DM patients compliant with the same recommendation). IAD overestimated indicators of compliance with therapeutic standards (significant differences ranged from 3.3. to 3.6 percentage points) and underestimated indicators of compliance with diagnostic standards (significant differences ranged from -2.3 to -14
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0188377(source: https://plos.figshare.com/articles/dataset/Monitoring_compliance_with_standards_of_care_for_chronic_diseases_using_healthcare_administrative_databases_in_Italy_Strengths_and_limitations/5693656)。
数据缺失?
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