BACKGROUND: Complete and up-to-date medical and pharmaceutical information in the electronic patient record (EPR) is a prerequisite for risk management in community pharmacy. OBJECTIVES: To analyze which information is missing in the EPR and which drug therapy alerts, therefore, fail to appear. METHODS: Pharmacy students selected patients who were dispensed a prescription drug and enlisted for >3 months in the participating pharmacies. Patients received a questionnaire in which they were asked to verify their medication history, and to provide additional patient information. For each enrolled patient, the students collected all relevant information from the EPR. Self-reported data from the patient were compared with data retrieved from the EPR. Missed information in the EPR was evaluated based on national professional guidelines. RESULTS: Questionnaires were received from 67% of the selected patients (442/660). Prescription drugs were missing in the EPR of 14% of the 442 patients, nonprescription drugs in 44%, diseases in 83%, and intolerabilities in 16%. In 38% of the patients (166/442), drug therapy alerts failed to appear because of missing information: drug-disease interactions in 34% of the patients, duplicate medications in 4%, drug-drug interactions (DDIs) in 4%, and drug intolerabilities in 2%. Among the (non-)prescription drugs missing, NSAIDs were most frequently responsible for the missed alerts. Diseases most frequently associated with missed alerts were gastroesophageal reflux disease, renal insufficiency, asthma/chronic obstructive pulmonary disease, and heart failure. CONCLUSIONS: Relevant patient information was frequently missing in the EPRs. The nonappearance of drug therapy alerts may have had clinical consequences for patients.
BACKGROUND: Complete and up-to-date medical and pharmaceutical information in the electronic patient record (EPR) is a prerequisite for risk management in community pharmacy. OBJECTIVES: To analyze which information is missing in the EPR and which drug therapy alerts, therefore, fail to appear. METHODS: Pharmacy students selected patients who were dispensed a prescription drug and enlisted for >3 months in the participating pharmacies. Patients received a questionnaire in which they were asked to verify their medication history, and to provide additional patient information. For each enrolled patient, the students collected all relevant information from the EPR. Self-reported data from the patient were compared with data retrieved from the EPR. Missed information in the EPR was evaluated based on national professional guidelines. RESULTS: Questionnaires were received from 67% of the selected patients (442/660). Prescription drugs were missing in the EPR of 14% of the 442 patients, nonprescription drugs in 44%, diseases in 83%, and intolerabilities in 16%. In 38% of the patients (166/442), drug therapy alerts failed to appear because of missing information: drug-disease interactions in 34% of the patients, duplicate medications in 4%, drug-drug interactions (DDIs) in 4%, and drug intolerabilities in 2%. Among the (non-)prescription drugs missing, NSAIDs were most frequently responsible for the missed alerts. Diseases most frequently associated with missed alerts were gastroesophageal reflux disease, renal insufficiency, asthma/chronic obstructive pulmonary disease, and heart failure. CONCLUSIONS: Relevant patient information was frequently missing in the EPRs. The nonappearance of drug therapy alerts may have had clinical consequences for patients.
Entities:
Keywords:
automated drug alerts; clinical risk management; community pharmacy services; drug safety alerts; electronic patient record; pharmacy information systems
Authors: Justine M Z van Tongeren; S Froukje Harkes-Idzinga; Heleen van der Sijs; Roya Atiqi; Bart J F van den Bemt; L Willem Draijer; Deline Hiel; Adrian Kerremans; Bart Kremers; Marc de Leeuw; Marleen V Olthoff; T Kim-Loan Pham; Ricky Valentijn-Robertz; Kayan Tsoi; Iris Wichers; Maaike de Wit; Sander D Borgsteede Journal: Front Pharmacol Date: 2020-05-15 Impact factor: 5.810
Authors: Paula Bachmann; Niklas Frahm; Jane Louisa Debus; Pegah Mashhadiakbar; Silvan Elias Langhorst; Barbara Streckenbach; Julia Baldt; Felicita Heidler; Michael Hecker; Uwe Klaus Zettl Journal: Pharmaceutics Date: 2022-03-08 Impact factor: 6.321