Table_1_基于健康索赔数据的德国医院急性脓毒症护理长期结局风险调整质量指标的开发与验证
基于德国健康索赔数据的脓毒症护理长期结局风险调整质量指标开发表格,包含短期和长期死亡率数据。

基本信息
资源简介
Table_1_基于健康索赔数据的德国医院急性脓毒症护理长期结局风险调整质量指标的开发与验证
【一句话概览】
本数据集是 figshare 公开的结构化表格数据集,收录 1 个文件、合计 708.46 KB,主题涵盖 sepsis、mortality、risk-adjustment、administrative claims、diagnosis related groups,可用于统计建模、特征工程与队列分析,CC BY 4.0 许可开放获取。
【数据集背景】
本数据集源站标题为《Table_1_Development and validation of risk-adjusted quality indicators for the long-term outcome of acute sepsis care in German hospitals based on health claims data.DOCX》。配套论文《A risk-model for hospital mortality among patients with severe sepsis or septic shock based on German national administrative claims data》发表于 PLOS ONE(2018),DOI:10.1371/journal.pone.0194371。源站首次发布:2023-01-09。
【数据内容】
源站原始描述:BackgroundMethods for assessing long-term outcome quality of acute care for sepsis are lacking. We investigated a method for measuring long-term outcome quality based on health claims data in Germany. Materials and methodsAnalyses were based on data of the largest German health insurer, covering 32% of the population. Cases (aged 15 years and older) with ICD-10-codes for severe sepsis or septic shock according to sepsis-1-definitions hospitalized in 2014 were included. Short-term outcome was ass…
【数据结构与技术规格】
文件数 1 个,合计 708.46 KB。Table_1_Development and validation of risk-adjusted quality indicators for the long-term outcome of acute sepsis care in German hospitals based on hea.DOCX:application/vnd.openxmlformats-officedocument.wordprocessingml.document,708.46 KB。数据集 DOI:10.3389/fmed.2022.1069042.s002。
【主题与分类】
源站学科分类:Radiology and Organ Imaging、Foetal Development and Medicine、Obstetrics and Gynaecology、Primary Health Care、Medical and Health Sciences not elsewhere classified、Dermatology。主题标签:sepsis、mortality、risk-adjustment、administrative claims、diagnosis related groups、health care quality assessment。
【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://frontiersin.figshare.com/articles/dataset/Table_1_Development_and_validation_of_risk-adjusted_quality_indicators_for_the_long-term_outcome_of_acute_sepsis_care_in_German_hospitals_based_on_health_claims_data_DOCX/21837966
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Wedekind, Lisa; Fleischmann-Struzek, Carolin; Rose, Norman; Spoden, Melissa; Günster, Christian; Schlattmann, Peter; et al. (2023). Table_1_Development and validation of risk-adjusted quality indicators for the long-term outcome of acute sepsis care in German hospitals based on health claims data.DO…
【使用注意】
· 源站最后修改于 2023-06-21,引用时请注意版本时效。
下载信息
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使用方式
数据集获取(Figshare)
- 源站标题:Table_1_Development and validation of risk-adjusted quality indicators for the long-term outcome of acute sepsis care in German hospitals based on health claims data.DOCX
- DOI:10.3389/fmed.2022.1069042.s002
- 发布日期:2023-01-09
- 文件数:1 个
- 文件总体积:708.46 KB
- 源站页面:https://frontiersin.figshare.com/articles/dataset/Table_1_Development_and_validation_of_risk-adjusted_quality_indicators_for_the_long-term_outcome_of_acute_sepsis_care_in_German_hospitals_based_on_health_claims_data_DOCX/21837966
命令行下载
curl -L -o "Table_1_Development and validation of risk-adjusted quality indicators for the long-term outcome of acute sepsis care in German hospitals based on hea.DOCX" "https://ndownloader.figshare.com/files/38758206"
文件清单
Table_1_Development and validation of risk-adjusted quality indicators for the long-term outcome of acute sepsis care in German hospitals based on hea.DOCX(708.46 KB)
文件总体积 708.46 KB(源站 API 实测)。
数据说明
BackgroundMethods for assessing long-term outcome quality of acute care for sepsis are lacking. We investigated a method for measuring long-term outcome quality based on health claims data in Germany.
Materials and methodsAnalyses were based on data of the largest German health insurer, covering 32% of the population. Cases (aged 15 years and older) with ICD-10-codes for severe sepsis or septic shock according to sepsis-1-definitions hospitalized in 2014 were included. Short-term outcome was assessed by 90-day mortality; long-term outcome was assessed by a composite endpoint defined by 1-year mortality or increased dependency on chronic care. Risk factors were identified by logistic regressions with backward selection. Hierarchical generalized linear models were used to correct for clustering of cases in hospitals. Predictive validity of the models was assessed by internal validation using bootstrap-sampling. Risk-standardized mortality rates (RSMR) were calculated with and without reliability adjustment and their univariate and bivariate distributions were described.
ResultsAmong 35,552 included patients, 53.2% died within 90 days after admission; 39.8% of 90-day survivors died within the first year or had an increased dependency on chronic care. Both risk-models showed a sufficient predictive validity regarding discrimination [AUC = 0.748 (95% CI: 0.742; 0.752) for 90-day mortality; AUC = 0.675 (95% CI: 0.665; 0.685) for the 1-year composite outcome, respectively], calibration (Brier Score of 0.203 and 0.220; calibration slope of 1.094 and 0.978), and explained variance (R2 = 0.242 and R2 = 0.111). Because of a small case-volume per hospital, applying reliability adjustment to the RSMR led to a great decrease in variability across hospitals [from median (1st quartile, 3rd quartile) 54.2% (44.3%, 65.5%) to 53.2% (50.7%, 55.9%) for 90-day mortality; from 39.2% (27.8%, 51.1%) to 39.9% (39.5%, 40.4%) for the 1-year composite endpoint]. There was no substantial correlation between the two endpoints at hospital level (observed rates: ρ = 0, p = 0.99; RSMR: ρ = 0.017, p = 0.56; reliability-adjusted RSMR: ρ = 0.067; p = 0.026).
ConclusionQuality assurance and epidemio
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.3389/fmed.2022.1069042.s002(source: https://frontiersin.figshare.com/articles/dataset/Table_1_Development_and_validation_of_risk-adjusted_quality_indicators_for_the_long-term_outcome_of_acute_sepsis_care_in_German_hospitals_based_on_health_claims_data_DOCX/21837966)。
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