Positive predictive values of selected hospital discharge diagnoses to identify infections responsible for hospitalization in the French national hospital database
Positive predictive values of selected hospital discharge diagnoses to identify infections responsible for hospitalization in the French national hospital database
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DOI：
10.1002/pds.4006
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发表时间：
2016-07-01
影响因子：
2.6
通讯作者：
Moulis, Guillaume
中科院分区：
文献类型：
--
作者：
Sahli, Line;Lapeyre-Mestre, Maryse;Moulis, Guillaume
目的电子卫生数据库中感染的识别是药物流行病学研究的一个关键问题。本研究的目的是评估国家疾病保障制度间信息系统中感染住院治疗的阳性预测值（ppv），该系统是记录整个法国人口（6600万居民）住院和出院数据的电子数据库。方法数据来源于法国南部图卢兹大学医院住院数据库（program de Medicalisation des Systemes d' information）（2880张床位）。在2014年9月至12月的所有住院病例中，我们随机选择100例国际疾病分类第10版感染编码作为主要诊断，100例作为相关诊断。复习医学图表，评估感染编码的PPV，以及真阳性病例感染类型正确编码的PPV。结果感染码作为住院原因的ppv，原发诊断码为0.97,95%可信区间（CI）为0.93 ~ 1.00，相关诊断码为0.70,95% CI为0.61 ~ 0.71。在真阳性病例中，正确编码感染类型的ppv分别为0.98,95% CI[0.95 ~ 1.00]和0.93,95% CI[0.88 ~ 0.98]。结论信息系统医疗化项目感染码住院患者ppv较好。版权所有：John Wiley & Sons， Ltd。
PurposeThe identification of infections in electronic health databases is a key issue for pharmacoepidemiology research. The aim of this study was to assess the positive predictive values (PPVs) of hospitalizations for infection in the Systeme National d'Information Inter-regimes de l'Assurance Maladie, that is the electronic database recording in-and-out hospital data for the entire French population (66 million inhabitants).MethodsThe source of data was the database of hospitalizations (Programme de Medicalisation des Systemes d'Informations) of Toulouse University hospital, South of France (2880 beds). Among all hospital stays between September and December 2014, we randomly selected 100 stays with an International Classification of Diseases, 10th revision code of infection as primary diagnosis and 100 as related diagnosis. Medical charts were reviewed to assess the PPV of infection codes, as well as the PPV of correct coding of infection type among the true positive cases.ResultsThe PPVs of codes of infection as reason for hospitalization were 0.97, 95% confidence interval (CI) [0.93-1.00] for primary diagnosis codes and 0.70, 95% CI [0.61-0.71] for related diagnosis codes. Among the true positive cases, the PPVs of correct coding of the type of infection were, respectively, 0.98, 95% CI [0.95-1.00] and 0.93, 95% CI [0.88-0.98].ConclusionsHospitalizations for infection codes have very good PPVs in the Programme de Medicalisation des Systemes d'Informations. Copyright (c) 2016 John Wiley & Sons, Ltd.