Use of an Electronic Clinical Decision Support System in Primary Care to Assess Inappropriate Polypharmacy in Young Seniors With Multimorbidity: Observational, Descriptive, Cross-Sectional Study

dc.contributor.authorRogero Blanco, Eloisa
dc.contributor.authorLopez Rodriguez, Juan A
dc.contributor.authorSanz Cuesta, Teresa
dc.contributor.authorAza Pascual Salcedo, Mercedes
dc.contributor.authorBujalance Zafra, M Jose
dc.contributor.authorCura Gonzalez, Isabel
dc.contributor.authorRico Blázquez, Milagros
dc.date.accessioned2025-07-17T09:25:08Z
dc.date.available2025-07-17T09:25:08Z
dc.date.issued2020-03-03
dc.description.abstractBackground: Multimorbidity is a global health problem that is usually associated with polypharmacy, which increases the risk of potentially inappropriate prescribing (PIP). PIP entails higher hospitalization rates and mortality and increased usage of services provided by the health system. Tools exist to improve prescription practices and decrease PIP, including screening tools and explicit criteria that can be applied in an automated manner. Objective: This study aimed to describe the prevalence of PIP in primary care consultations among patients aged 65-75 years with multimorbidity and polypharmacy, detected by an electronic clinical decision support system (ECDSS) following the 2015 American Geriatrics Society Beers Criteria, the European Screening Tool of Older Person’s Prescription (STOPP), and the Screening Tool to Alert doctors to Right Treatment (START). Methods: This was an observational, descriptive, cross-sectional study. The sample included 593 community-dwelling adults aged 65-75 years (henceforth called young seniors), with multimorbidity (≥3 diseases) and polypharmacy (≥5 medications), who had visited their primary care doctor at least once over the last year at 1 of the 38 health care centers participating in the Multimorbidity and Polypharmacy in Primary Care (Multi-PAP) trial. Sociodemographic data, clinical and pharmacological treatment variables, and PIP, as detected by 1 ECDSS, were recorded. A multivariate logistic regression model with robust estimators was built to assess the factors affecting PIP according to the STOPP criteria. Results: PIP was detected in 57.0% (338/593; 95% CI 53-61) and 72.8% (432/593; 95% CI 69.3-76.4) of the patients according to the STOPP criteria and the Beers Criteria, respectively, whereas 42.8% (254/593; 95% CI 38.9-46.8) of the patients partially met the START criteria. The most frequently detected PIPs were benzodiazepines (BZD) intake for more than 4 weeks (217/593, 36.6%) using the STOPP version 2 and the prolonged use of proton pump inhibitors (269/593, 45.4%) using the 2015 Beers Criteria. Being a woman (odds ratio [OR] 1.43, 95% CI 1.01-2.01; P=.04), taking a greater number of medicines (OR 1.25, 95% CI 1.14-1.37; P<.04), working in the primary sector (OR 1.91, 95% CI 1.25-2.93; P=.003), and being prescribed drugs for the central nervous system (OR 3.75, 95% CI 2.45-5.76; P<.001) were related to a higher frequency of PIP. Conclusions: There is a high prevalence of PIP in primary care as detected by an ECDSS in community-dwelling young seniors with comorbidity and polypharmacy. The specific PIP criteria defined by this study are consistent with the current literature. This ECDSS can be useful for supervising prescriptions in primary health care consultations.
dc.description.departmentDepto. de Enfermería
dc.description.facultyFac. de Enfermería, Fisioterapia y Podología
dc.description.refereedTRUE
dc.description.sponsorshipEste estudio fue financiado por el Instituto de Salud Carlos III (ISCIII) (números de subvención PI15/00276 (APT), PI15/00572 (ICG), PI15/00996 (JDPT), RD16/0001/0004 (ICG), RD16/0001/0005 (APT), RD16/0001/0006 (JDPT)), cofinanciado por el Fondo Europeo de Desarrollo Regional (FEDER) “Una manera de hacer Europa”. Plan Nacional de I+D+I 2013-2016.
dc.description.statuspub
dc.identifier.citationRogero-Blanco E, Lopez-Rodriguez JA, Sanz-Cuesta T, Aza-Pascual-Salcedo M, Bujalance-Zafra MJ, Cura-Gonzalez I, et al. Use of an electronic clinical decision support system in primary care to assess inappropriate polypharmacy in young seniors with multimorbidity: Observational, descriptive, cross-sectional study. Journal of Medical Internet Research. 2020;22(3).
dc.identifier.doi10.2196/14130
dc.identifier.issn2291-9694
dc.identifier.officialurlhttps://doi.org/10.2196/14130
dc.identifier.relatedurlhttps://medinform.jmir.org/2020/3/e14130
dc.identifier.urihttps://hdl.handle.net/20.500.14352/122599
dc.issue.number3
dc.journal.titleJournal of Medical Internet Research
dc.language.isoeng
dc.page.final10
dc.page.initial1
dc.publisherJMIR Publications Inc.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.cdu61
dc.subject.keywordPotentially inappropriate medication list
dc.subject.keywordPolypharmacy
dc.subject.keywordMultimorbidity
dc.subject.keywordClinical decision support systems
dc.subject.keywordPrimary care
dc.subject.ucmCiencias Biomédicas
dc.subject.unesco3299 Otras Especialidades Médicas
dc.titleUse of an Electronic Clinical Decision Support System in Primary Care to Assess Inappropriate Polypharmacy in Young Seniors With Multimorbidity: Observational, Descriptive, Cross-Sectional Study
dc.typejournal article
dc.type.hasVersionVoR
dc.volume.number22
dspace.entity.typePublication
relation.isAuthorOfPublication985cbe59-16f8-41a9-bfe9-d4fc27db47d2
relation.isAuthorOfPublication.latestForDiscovery985cbe59-16f8-41a9-bfe9-d4fc27db47d2

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