Evidence map›Paper›PMID 34261683›Full record

ArticleBMJ open2021

Potentially inappropriate medications (PIMs): frequency and extent of GP-related variation in PIMs: a register-based cohort study.

Anette Riisgaard Ribe, Line Due Christensen, Claus Høstrup Vestergaard, Anders Prior, Peter Krogh Brynningsen, Flemming Bro, Annelli Sandbæk, Peter Vedsted, Daniel R Witte, Morten Fenger-Grøn

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In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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.

Anette Riisgaard Ribe *Research Unit for General Practice, Aarhus, Midtjylland, Denmark arr@ph.au.dk.ORCID 0000-0003-0011-2208
Line Due Christensen *Research Unit for General Practice, Aarhus, Midtjylland, Denmark.
Claus Høstrup VestergaardResearch Unit for General Practice, Aarhus, Midtjylland, Denmark.
Anders PriorResearch Unit for General Practice, Aarhus, Midtjylland, Denmark.ORCID 0000-0003-4053-3701
Peter Krogh BrynningsenDepartment of Geriatrics, Aarhus University Hospital, Aarhus N, Denmark.
Flemming BroResearch Unit for General Practice, Aarhus, Midtjylland, Denmark.
Annelli SandbækDepartment of Public Health, Aarhus University, Aarhus C, Denmark.
Peter VedstedResearch Unit for General Practice, Aarhus, Midtjylland, Denmark.
Daniel R WitteDepartment of Public Health, Aarhus University, Aarhus C, Denmark.
Morten Fenger-GrønResearch Unit for General Practice, Aarhus, Midtjylland, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesPotentially inappropriate medications (PIMs) pose an increasing challenge in the ageing population. We aimed to assess the extent of PIMs and the prescriber-related variation in PIM prevalence.

designNationwide register-based cohort study.

settingGeneral practice.

participantsThe 4.2 million adults listed with general practitioner (GP) clinics in Denmark (n=1906) in 2016.

main outcome measuresWe estimated the patients' time with PIMs by using 29 register-operationalised STOPP criteria linking GP clinics and redeemed prescriptions. For each criterion and each GP clinic, we calculated ratios between the observed PIM time and that predicted by multivariate Poisson regressions on the patients. The observed variation was measured as the 90th/10th percentile ratios of these ratios. The extent of expectable random variation was assessed as the 90th/10th percentile ratios in randomly sampled GP populations (ie, the sampled variation). The GP-related excess variation was calculated as the ratio between the observed variation and sampled variation. The linear correlation between the observed/expected ratio for each of the criteria and the observed/expected ratio of total PIM time (for each clinic) was measured by Pearson's rho.

resultsOverall, 294 542 individuals were exposed to 1 44 117 years of PIMs. The two most prevalent PIMs were long-term use (>3 months) of non-steroidal anti-inflammatory drugs (51 074 years of PIMs) or benzodiazepines (48 723 years of PIMs). These two criteria showed considerable excess variation of 2.33 and 3.05, respectively; for total PIMs, this figure was 1.65. For more than half of the criteria, we observed a positive correlation between the specific PIM and the sum of remaining PIMs.

conclusionsThis study documents considerable variations in the prescribing practice of GPs for certain PIMs. These findings highlight a need for exploring the causal explanations for such variations, which could be markers of suboptimal GP-prescribing strategies.

Indexed as

General PractitionersPotentially Inappropriate Medication ListCohort StudiesHumansInappropriate PrescribingPrevalenceclinical pharmacologyepidemiologygeneral medicine (see internal medicine)primary carepublic healthstatistics & research methods

Identifiers

PMID34261683
PMCPMC8280898

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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.