![]() With regard to major bleeding events, the validation of a hospital-based data algorithm could gain from a confrontation with medical charts from emergency wards. ![]() Nonetheless, caution is needed regarding the accuracy of codes in hospital-based data for major bleeding event identification: for instance when assigning primary or secondary discharge diagnoses, a focus on the reimbursement of the care delivered could hide the real reason for admission coding inaccuracies or inconsistencies can occur across care sites, and bleeding events that are not coded could be overlooked hence a validated algorithm is crucial.Įmergency wards are obviously optimal settings to observe and report serious adverse drug reactions for drugs prescribed in the community. Patients presenting major bleeding are mostly referred to hospital, which therefore makes hospital-based data useful. Estimating the occurrence of major bleeding events is therefore a key issue. Major bleeding is the most feared serious adverse reaction when using antithrombotic agents. It is considered that hospital-based data, and discharge codes in particular, can be used as valuable sources of information to define patient populations, assess comorbidities or the severity of disease, determine patient outcomes and drug effectiveness, and detect adverse events, including major bleeding. The French hospital database (PMSI), part of the SNDS, provides a discharge diagnosis (ICD-10 codes) for all patients admitted to hospital in France. ![]() In France, numerous studies have been conducted using the French National Health database (SNDS, previously known as SNIIRAM). Their use in pharmacoepidemiology has considerably increased in recent years. A reimbursement claim database enables large cohorts to be set up, providing comprehensive data at a relatively low cost. ![]()
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