Atrial Fibrillation Clinical Trial
— PACHAOfficial title:
Development and Validation of Indicators on the Appropriateness of Oral Anticoagulant Prescriptions in Adult Medicine Automated From the Hospital Information System (PACHA Study).
Verified date | March 2024 |
Source | University Hospital, Bordeaux |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
This research focuses on the development and validation of indicators on the appropriateness of oral anticoagulant prescriptions. The investigators want to propose transferable tools to other healthcare institutions to allow automated construction of indicators as part of a structured approach to improve future practices. The main objective of the study is to develop indicators on the appropriateness of oral anticoagulant prescriptions in adult medicine automated from the hospital information system and to assess their criterion validity.
Status | Completed |
Enrollment | 1213 |
Est. completion date | February 1, 2022 |
Est. primary completion date | February 1, 2022 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: - Patients aged over 18; - Patients hospitalized at the Bordeaux University Hospital or the Georges-Pompidou European hospital for a clinical situation that could justify a prescription of oral anticoagulants or for an at risk situation in patients under oral anticoagulants, among targeted frequent clinical situations; - Patients hospitalized in medicine-surgery-obstetrics care or rehabilitation care (conventional hospitalization or outpatient) between the 1st of January 2015 and the 31th of December 2017; - Patients whose medical and administrative data are available in an electronic format in the hospital information system Exclusion Criteria: - Patients not hospitalized at the Bordeaux University Hospital or the Georges-Pompidou European hospital for a clinical situation that could justify a prescription of oral anticoagulants or for an at risk situation in patients under oral anticoagulants, among targeted frequent clinical situations; - Patients whose medical and administrative data are not available in an electronic format in the hospital information system; - Patients who do not give consent for research data use. |
Country | Name | City | State |
---|---|---|---|
France | Service d'Information Médicale, Unité d'Informatique et d'Archivistique Médicale (UIAM) | Bordeaux | |
France | Université de Lille 3 | Lille | |
France | Hôpital européen Georges-Pompidou - Département d'informatique Hospitalière | Paris | |
France | CHU de Rennes - Service d'information médicale | Rennes |
Lead Sponsor | Collaborator |
---|---|
University Hospital, Bordeaux | Ministry for Health and Solidarity, France |
France,
Petit-Moneger A, Thiessard F, Jouhet V, Noize P, Berdai D, Kret M, Sitta R, Salmi LR, Saillour-Glenisson F; PACHA research group. Development and validation of hospital information system-generated indicators of the appropriateness of oral anticoagulant p — View Citation
Petit-Moneger A, Thiessard F, Noize P, Berdai D, Jouhet V, Saillour-Glenisson F, Salmi LR; PACHA research group. Definition of indicators of the appropriateness of oral anticoagulant prescriptions in hospitalized adults: Literature review and consensus (P — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Difference between the prevalence of appropriateness (or not) of oral anticoagulant prescriptions | Difference between the prevalence of appropriateness (or not) of oral anticoagulant prescriptions estimated by the hospital information system in comparison to the prevalence estimated by the reference test (information manually extracted from the patient record) for each indicator, and the estimation of its confidence interval for an equivalence margin between 5% and 10%. | between month 24 and 33 | |
Secondary | The recall, precision and F-measure of tools tracking information for the construction of indicators (step 2) | Recall, precision and F-measure are criteria for measuring performance of tools tracking information. The recall is defined by the number of relevant concepts that are correctly found by the evaluated automatic tool compared to the number of relevant concepts that are present in the text (in statistics, the recall is the sensitivity). Precision is the number of relevant concepts found on the total number of concepts proposed by the search engine for a given query. The F-measure combines recall and precision as follows:
F-measure = 2 x recall x precision / (recall + precision). |
between month 16 and 18 | |
Secondary | The ability to use the autonomous version of automatic language processing module (Web-Service) | to provide the same indicators with another data storage (step 2) : extraction of the concept in full text from the Rennes university hospital (yes or no) | between month 30 and 36 | |
Secondary | The estimation of the metrological performances of each indicator | sensitivity, specificity, positive and negative predictive values to identify the appropriateness (or not) of oral anticoagulant prescriptions compared to the reference test and opinion of experts with knowledge about the targeted clinical situations (step 3) | between month 34 and 36 | |
Secondary | The estimation of the reliability of each indicator | Kappa coefficients for unordered qualitative indicators, weighted Kappa coefficients for ordained qualitative indicators and Intra-Class Coefficients for quantitative indicators for the analysis of changes in the appropriateness results of indicators considering variation of the conditions and quality of encoding information in the hospital information system (step 3); | between month 34 and 36 | |
Secondary | The estimation of the robustness of each indicator | Kappa coefficients for unordered qualitative indicators, weighted Kappa coefficients for ordained qualitative indicators and intra-class coefficients for quantitative indicators for the analysis of changes in the appropriateness results of indicators considering variation of hypotheses for the construction of these indicators (step 3) | between month 34 and 36 |
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