150366 20251017144612.0 doi 10.1080/13814788.2021.1917543 sideral 142513 ART-2021-142513 eng Rogero-Blanco, Eloísa Drug interactions detected by a computer-assisted prescription system in primary care patients in Spain: MULTIPAP study 2021 Access copy available to the general public Unrestricted Background Drug interactions increase the risk of treatment failure, intoxication, hospital admissions, consultations and mortality. Computer-assisted prescription systems can help to detect interactions. Objectives To describe the drug–drug interaction (DDI) and drug–disease interaction (DdI) prevalence identified by a computer-assisted prescription system in patients with multimorbidity and polypharmacy. Factors associated with clinically relevant interactions were analysed. Methods Observational, descriptive, cross-sectional study in primary health care centres was undertaken in Spain. The sample included 593 patients aged 65–74 years with multimorbidity and polypharmacy participating in the MULTIPAP Study, recruited from November 2016 to January 2017. Drug interactions were identified by a computer-assisted prescription system. Descriptive, bivariate, and multivariate analyses with logistic regression models and robust estimators were performed. Results Half (50.1% (95% CI 46.1–54.1)) of the patients had at least one relevant DDI and 23.9% (95% CI 18.9–25.6) presented with a DdI. Non-opioid–central nervous system depressant drug combinations and benzodiazepine–opioid drug combinations were the two most common clinically relevant interactions (10.8% and 5.9%, respectively). Factors associated with DDI were the use of more than 10 drugs (OR 11.86; 95% CI 6.92–20.33) and having anxiety/depressive disorder (OR 1.98; 95% CI 1.31–2.98). Protective factors against DDI were hypertension (OR 0.62; 95% CI 0.41–0.94), diabetes (OR 0.57; 95% CI 0.40–0.82), and ischaemic heart disease (OR 0.43; 95% CI 0.25–0.74). Conclusion Drug interactions are prevalent in patients aged 65–74 years with multimorbidity and polypharmacy. The clinically relevant DDI frequency is low. The number of prescriptions taken is the most relevant factor associated with presenting a clinically relevant DDI. info:eu-repo/grantAgreement/ES/ISCIII-FEDER/RD16-0001-0004 info:eu-repo/grantAgreement/ES/ISCIII/PI18-01303 info:eu-repo/grantAgreement/ES/ISCIII/PI18-01515 info:eu-repo/grantAgreement/ES/ISCIII/PI18-01812 info:eu-repo/grantAgreement/ES/ISCIII/RD16-0001-0005 info:eu-repo/grantAgreement/ES/ISCIII/RD16-0001-0006 info:eu-repo/semantics/openAccess by https://creativecommons.org/licenses/by/4.0/deed.es 3.636 2021 PRIMARY HEALTH CARE 4 / 18 = 0.222 2021 Q1 T1 MEDICINE, GENERAL & INTERNAL 66 / 172 = 0.384 2021 Q2 T2 1.689 2021 Medicine (miscellaneous) 2021 Q1 Family Practice 2021 Q1 8.5 2021 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Del-Cura-González, Isabel Aza-Pascual-Salcedo, Mercedes García de Blas González, Francisca Terrón-Rodas, Carmen Chimeno-Sánchez, Sergio García-Domingo, Eva López-Rodríguez, Juan A. Gimeno Feliu, Luis Universidad de Zaragoza (orcid)0000-0003-2928-6623 on behalf MULTIPAP group 1007 610 Universidad de Zaragoza Dpto. Medicina, Psiqu. y Derm. Area Medicina 27, 1 (2021), 90-96 Eur. j. gen. pract EUROPEAN JOURNAL OF GENERAL PRACTICE 1381-4788 1514884 http://zaguan.unizar.es/record/150366/files/texto_completo.pdf Versión publicada 1321960 http://zaguan.unizar.es/record/150366/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:150366 articulos driver 2025-10-17-14:17:47 ARTICLE