Evidence map›Paper›PMID 33743582›Full record

ArticleBMC geriatrics2021

Epidemiology and associated factors of polypharmacy in older patients in primary care: a northern Italian cross-sectional study.

Giuliano Piccoliori, Angelika Mahlknecht, Marco Sandri, Martina Valentini, Anna Vögele, Sara Schmid, Felix Deflorian, Adolf Engl, Andreas Sönnichsen, Christian Wiedermann

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.0field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 29 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 3 countries.

Giuliano Piccoliori *Institute of General Practice and Public Health, College of Health Care Professions, Lorenz Böhler- Straße 13, 39100, Bolzano, Italy.
Angelika Mahlknecht *Institute of General Practice and Public Health, College of Health Care Professions, Lorenz Böhler- Straße 13, 39100, Bolzano, Italy. angelika.mahlknecht@am-mg.claudiana.bz.it.ORCID 0000-0002-5280-5447
Marco SandriBig & Open Data Innovation Laboratory (BODaI-Lab), University of Brescia, Via S. Faustino 74/B, 25122, Brescia, Italy.
Martina ValentiniSouth Tyrolean Academy of General Practice, Wangergasse 18, 39100, Bolzano, Italy.
Anna VögeleSouth Tyrolean Academy of General Practice, Wangergasse 18, 39100, Bolzano, Italy.
Sara SchmidSouth Tyrolean Academy of General Practice, Wangergasse 18, 39100, Bolzano, Italy.
Felix DeflorianSouth Tyrolean Academy of General Practice, Wangergasse 18, 39100, Bolzano, Italy.
Adolf EnglInstitute of General Practice and Public Health, College of Health Care Professions, Lorenz Böhler- Straße 13, 39100, Bolzano, Italy.
Andreas SönnichsenDepartment of General Practice and Family Medicine, Center for Public Health, Medical University of Vienna, Kinderspitalgasse 15/I, 1090, Vienna, Austria.
Christian WiedermannInstitute of General Practice and Public Health, College of Health Care Professions, Lorenz Böhler- Straße 13, 39100, Bolzano, Italy.
Eurac Research · ITMedical University of Vienna · ATParacelsus Medical University · ATUMIT - Private Universität für Gesundheitswissenschaften, Medizinische Informatik und Technik · ATUniversity of Brescia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA precondition for developing strategies to reduce polypharmacy and its well-known harmful consequences is to study its epidemiology and associated factors. The objective of this study was to analyse the prevalence of polypharmacy (defined as ≥8 prescribed drugs), of potentially inappropriate medications (PIMs) and major drug-drug interactions (DDIs) among community-dwelling general practice patients aged ≥75 years and to identify characteristics being associated with polypharmacy.

methodsThis cross-sectional study is derived from baseline data (patients' demographic/biometric characteristics, diagnoses, medication-related data, cognitive/affective status, quality of life) of a northern-Italian cluster-RCT. PIMs and DDIs were assessed using the 2012 Beers criteria and the Lexi-Interact® database. Data were analysed using descriptive methods, Wilcoxon rank-sum tests, Fisher's exact tests and Spearman correlations.

resultsOf the eligible patients aged 75+, 13.4% were on therapy with ≥8 drugs. Forty-three general practitioners and 579 patients participated in the study. Forty five point nine percent of patients were treated with ≥1 Beers-listed drugs. The most frequent PIMs were benzodiazepines/hypnotics (19.7% of patients) and NSAIDs (6.6%). Sixty seven point five percent of patients were exposed to ≥1 major DDI, 35.2% to ≥2 major DDIs. Antithrombotic/anticoagulant medications (30.4%) and antidepressants/antipsychotics (23.1%) were the most frequently interacting drugs. Polypharmacy was significantly associated with a higher number of major DDIs (Spearman's rho 0.33, p < 0.001) and chronic conditions (Spearman's rho 0.20, p < 0.001), higher 5-GDS scores (thus, lower affective status) (Spearman's rho 0.12, p = 0.003) and lower EQ-5D-5L scores (thus, lower quality of life) (Spearman's rho - 0.14, p = 0.001). Patients' age/sex, 6-CIT scores (cognitive status), BMI or PIM use were not correlated with the number of drugs.

conclusionsThe prevalence of polypharmacy, PIMs and major DDIs was considerable. Results indicate that physicians should particularly observe their patients with multiple conditions, reduced health and affective status, independently from other patients' characteristics. Careful attention about indication, benefit and potential risk should be paid especially to patients on therapy with specific drug classes identified as potentially inappropriate or prone to major DDIs in older persons (e.g., benzodiazepines, NSAIDs, protonic pump inhibitors, antithrombotics/anticoagulants, antidepressants/antipsychotics).

trial registrationThe cluster-RCT on which this cross-sectional analysis is based was registered with Current Controlled Trials Ltd. (ID ISRCTN: 38449870 ) on 2013-09-11.

Indexed as

Inappropriate PrescribingPolypharmacyAgedAged, 80 and overCross-Sectional StudiesHumansItalyPotentially Inappropriate Medication ListPrimary Health CareQuality of LifeDrug interactionsGeneral practiceInappropriate prescribingOlder adultsPolypharmacy

Identifiers

PMID33743582
PMCPMC7981991
OpenAlexW3136581477

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.