Evidence map›Paper›PMID 36767705›Full record

ArticleInternational journal of environmental research and public health2023

Detecting Medication Risks among People in Need of Care: Performance of Six Instruments.

Tobias Dreischulte, Linda Sanftenberg, Philipp Hennigs, Isabel Zöllinger, Rita Schwaiger, Caroline Floto, Maria Sebastiao, Thomas Kühlein, Dagmar Hindenburg, Ildikó Gagyor and 7 more

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 43% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
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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

17 authors at 4 institutions in 1 country.

Tobias DreischulteInstitute of General Practice and Family Medicine, University Hospital, LMU Munich, 80336 Munich, Germany.
Linda SanftenbergInstitute of General Practice and Family Medicine, University Hospital, LMU Munich, 80336 Munich, Germany.
Philipp HennigsInstitute of General Practice and Family Medicine, University Hospital, LMU Munich, 80336 Munich, Germany.
Isabel ZöllingerInstitute of General Practice and Family Medicine, University Hospital, LMU Munich, 80336 Munich, Germany.
Rita SchwaigerInstitute of General Practice and Family Medicine, University Hospital, LMU Munich, 80336 Munich, Germany.
Caroline FlotoInstitute of General Practice, Friedrich-Alexander-University of Erlangen-Nuremberg, 91054 Erlangen, Germany.
Maria SebastiaoInstitute of General Practice, Friedrich-Alexander-University of Erlangen-Nuremberg, 91054 Erlangen, Germany.
Thomas KühleinInstitute of General Practice, Friedrich-Alexander-University of Erlangen-Nuremberg, 91054 Erlangen, Germany.
Dagmar HindenburgInstitute of General Practice, University Hospital of Julius-Maximilians-Universität Würzburg, 97070 Würzburg, Germany.
Ildikó GagyorInstitute of General Practice, University Hospital of Julius-Maximilians-Universität Würzburg, 97070 Würzburg, Germany.ORCID 0000-0002-7974-7603
Domenika WildgruberKatholische Stiftungshochschule München/University of Applied Sciences, 81667 Munich, Germany.
Anita HausenKatholische Stiftungshochschule München/University of Applied Sciences, 81667 Munich, Germany.
Christian JankeDivision of Infectious Diseases and Tropical Medicine, Medical Center of the University of LMU Munich, 80802 Munich, Germany.
Michael HölscherDivision of Infectious Diseases and Tropical Medicine, Medical Center of the University of LMU Munich, 80802 Munich, Germany.
Daniel TeupserInstitute of Laboratory Medicine, University Hospital of LMU Munich, 81377 Munich, Germany.
Jochen GensichenInstitute of General Practice and Family Medicine, University Hospital, LMU Munich, 80336 Munich, Germany.
On Behalf Of The Bacom Study Group
LMU Klinikum · DEFriedrich-Alexander-Universität Erlangen-Nürnberg · DEKatholische Stiftungshochschule München · DEUniversity of Würzburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionNumerous tools exist to detect potentially inappropriate medication (PIM) and potential prescribing omissions (PPO) in older people, but it remains unclear which tools may be most relevant in which setting.

objectivesThis cross sectional study compares six validated tools in terms of PIM and PPO detection.

methodsWe examined the PIM/PPO prevalence for all tools combined and the sensitivity of each tool. The pairwise agreement between tools was determined using Cohen's Kappa.

resultsWe included 226 patients in need of care (median (IQR age 84 (80-89)). The overall PIM prevalence was 91.6 (95% CI, 87.2-94.9)% and the overall PPO prevalence was 63.7 (57.1-69.9%)%. The detected PIM prevalence ranged from 76.5%, for FORTA-C/D, to 6.6% for anticholinergic drugs (German-ACB). The PPO prevalences for START (63.7%) and FORTA-A (62.8%) were similar. The pairwise agreement between tools was poor to moderate. The sensitivity of PIM detection was highest for FORTA-C/D (55.1%), and increased to 79.2% when distinct items from STOPP were added.

conclusionUsing a single screening tool may not have sufficient sensitivity to detect PIMs and PPOs. Further research is required to optimize the composition of PIM and PPO tools in different settings.

Indexed as

Inappropriate PrescribingPotentially Inappropriate Medication ListAgedAged, 80 and overCross-Sectional StudiesHumansPrevalenceadverse drug reactioninappropriate medicationnursing home residentspolypharmacyprescribing omission

Identifiers

PMID36767705
PMCPMC9915255
OpenAlexW4318475277

What OpenQuestion 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 OpenQuestion graph.