Factors Associated with the Detection of Inappropriate Prescriptions in Older People

A Prospective Cohort

Bibliographic Data

ID15515902
AuthorsNúria Molist‐Brunet (0000-0003-0138-6278, Universitat de Vic - Universitat Central de Catalunya, corresponding author), Daniel Sevilla‐Sánchez (0000-0003-2993-6200, Universitat de Vic - Universitat Central de Catalunya), Emma Puigoriol‐Juvanteny (0000-0002-5510-2480, Universitat de Vic - Universitat Central de Catalunya), Mariona Espaulella-Ferrer (0000-0003-3416-7792, Universitat de Vic - Universitat Central de Catalunya), Jordi Amblàs-Novellas (0000-0002-2338-3054, Universitat de Vic - Universitat Central de Catalunya), Joan Espaulella‐Panicot (0000-0002-7057-0901, Universitat de Vic - Universitat Central de Catalunya)
Year2021
Volume18
Issue21
Pages11310-11310
Publication date2021-10-28
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph182111310
PMID34769827
OpenAlexW3209490892
LanguageEN
Citations received2
References cited42

(1) Background: Ageing is associated with complex and dynamic changes leading to multimorbidity and, therefore, polypharmacy. The main objectives were to study an older community-dwelling cohort, to detect inappropriate prescriptions (IP) applying the Patient-Centred Prescription model, and to evaluate the most associated factors. (2) Methods: This was a prospective, descriptive, and observational study conducted from June 2019 to October 2020 on patients ≥ 65 years with multimorbidity who lived in the community. Demographic, clinical and pharmacological data were assessed. Variables assessed were: degree of frailty, using the Frail-VIG index; therapeutical complexity and anticholinergic and sedative burden; and the number of chronic drugs to determine polypharmacy or excessive polypharmacy. Finally, a medication review was carried out through the application of the Patient-Centred Prescription model. We used univariate and multivariate regression to identify the factors associated with IP. (3) Results: We recruited 428 patients (66.6% women; mean age 85.5, SD 7.67). A total of 50.9% of them lived in a nursing home; the mean Barthel Index was 49.93 (SD 32.14), and 73.8% of patients suffered some degree of cognitive impairment. The prevalence of frailty was 92.5%. Up to 90% of patients had at least one IP. An increase in IP prevalence was detected when the Frail-VIG index increased ( p < 0.05). With the multivariate model, the relationship of polypharmacy with IP detection stands out above all. (4) Conclusions: 90% of patients presented one IP or more, and this situation can be detected through the PCP model. Factors with higher association with IP were frailty and polypharmacy

Cohort · Cohort study · Environmental health · Medical prescription · Older people · Prospective cohort study · Medication Adherence and Compliance · Medicine · Pharmaceutical Practices and Patient Outcomes · Pharmacy and Medical Practices · Psychology · Gerontology · Internal Medicine · Pharmacology

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