Evidence map›Paper›PMID 38904960›Full record

ArticleJAMA network open2024

Potentially Inappropriate Medication Use in Primary Care in Switzerland.

Simeon Schietzel, Stefan Zechmann, Yael Rachamin, Stefan Neuner-Jehle, Oliver Senn, Thomas Grischott

Abstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
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

18 citing papers in PubMed.

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  9. Prevalence and factors associated with potentially inappropriate medications in elderly stroke patients: A comparison of Beers 2019 and 2023 criteria.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2025
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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

6 authors.

Simeon SchietzelDivision of Nephrology and Hypertension, Inselspital, University Hospital of Bern, University of Bern, Bern, Switzerland.
Stefan ZechmannInstitute of Primary Care, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Yael RachaminInstitute of Primary Care, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Stefan Neuner-JehleInstitute of Primary Care, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Oliver SennInstitute of Primary Care, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Thomas GrischottInstitute of Primary Care, University Hospital Zurich, University of Zurich, Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Potentially inappropriate medication (PIM) exposes patients to an increased risk of adverse outcomes. Many lists of explicit criteria provide guidance on identifying PIM and recommend alternative prescribing, but the complexity of available lists limits their applicability and the amount of data available on PIM prescribing. Objective: To determine PIM prevalence and the most frequently prescribed PIMs according to 6 well-known PIM lists and to develop a best practice synthesis for clinicians. Design, Setting, and Participants: This cross-sectional study used anonymized electronic health record data of Swiss primary care patients aged 65 years or older with drug prescriptions from January 1, 2020, to December 31, 2021, extracted from a large primary care database in Switzerland, the FIRE project. Data analyses took place from October 2022 to September 2023. Exposure: PIM prescription according to PIM criteria operationalized for use with FIRE data. Main Outcomes and Measures: The primary outcomes were PIM prevalence (percentage of patients with 1 or more PIMs) and PIM frequency (percentage of prescriptions identified as PIMs) according to the individual PIM lists and a combination of all 6 lists. The PIM lists used were the American 2019 Updated Beers criteria, the French list by Laroche et al, the Norwegian General Practice Norwegian (NORGEP) criteria, the German PRISCUS list, the Austrian list by Mann et al, and the EU(7) consensus list of 7 European countries. Results: This study included 115 867 patients 65 years or older (mean [SD] age, 76.0 [7.9] years; 55.8% female) with 1 211 227 prescriptions. Among all patients, 86 715 (74.8%) were aged 70 years or older, and 60 670 (52.4%) were aged 75 years or older. PIM prevalence among patients 65 years or older was 31.5% (according to Beers 2019), 15.4% (Laroche), 16.1% (NORGEP), 12.7% (PRISCUS), 31.2% (Mann), 37.1% (EU[7]), and 52.3% (combined list). PIM prevalence increased with age according to every PIM list (eg, according to Beers 2019, from 31.5% at age 65 years or older to 37.4% for those 75 years or older, and when the lists were combined, PIM prevalence increased from 52.3% to 56.7% in those 2 age groups, respectively). PIM frequency was 10.3% (Beers 2019), 3.9% (Laroche), 4.3% (NORGEP), 2.4% (PRISCUS), 6.7% (Mann), 9.7% (EU[7]), and 19.3% (combined list). According to the combined list, the 5 most frequently prescribed PIMs were pantoprazole (9.3% of all PIMs prescribed), ibuprofen (6.9%), diclofenac (6.3%), zolpidem (4.5%), and lorazepam (3.7%). Almost two-thirds (63.5%) of all PIM prescriptions belonged to 5 drug classes: analgesics (26.9% of all PIMs prescribed), proton pump inhibitors (12.1%), benzodiazepines and benzodiazepine-like drugs (11.2%), antidepressants (7.0%), and neuroleptics (6.3%). Conclusions and Relevance: In this cross-sectional study of adults aged 65 or older, PIM prevalence was high, varied considerably depending on the criteria applied, and increased consistently with age. However, only few drug classes accounted for the majority of all prescriptions that were PIM according to any of the 6 PIM lists, and by considering this manageable number of drug classes, clinicians could essentially comply with all 6 PIM lists. These results raise awareness of the most common PIMs and emphasize the need for careful consideration of their risks and benefits and targeted deprescribing.

Indexed as

Inappropriate PrescribingPotentially Inappropriate Medication ListPrimary Health CareAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMalePractice Patterns, Physicians'PrevalenceSwitzerland

Identifiers

PMID38904960
PMCPMC11193127

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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 OpenQuestion graph.