Evidence map›Paper›PMID 26553305›Full record

ArticleDrug safety2016

The Association Between Potentially Inappropriate Prescribing and Medication-Related Hospital Admissions in Older Patients: A Nested Case Control Study.

C A K van der Stelt, A M A Vermeulen Windsant-van den Tweel, A C G Egberts, P M L A van den Bemt, A J Leendertse, W A J J Hermens, R J van Marum, H J Derijks

Abstract read
PubMed Publisher
In one paragraph

Article in Drug safety, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 4 pooled it
–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

38 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Observational
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

8 authors.

C A K van der SteltDepartment of Clinical Pharmacy, ZANOB, Jeroen Bosch Hospital, PO Box 3406, 5203 DK, 's-Hertogenbosch, The Netherlands. r.v.d.stelt@zanob.nl.
A M A Vermeulen Windsant-van den TweelDepartment of Clinical Pharmacy, ZANOB, Jeroen Bosch Hospital, PO Box 3406, 5203 DK, 's-Hertogenbosch, The Netherlands.
A C G EgbertsDivision of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands.
P M L A van den BemtDepartment of Clinical Hospital Pharmacy, Erasmus Medical Center, Rotterdam, The Netherlands.
A J LeendertseJulius Center, University Medical Center Utrecht, Utrecht, The Netherlands.
W A J J HermensDepartment of Clinical Pharmacy, ZANOB, Jeroen Bosch Hospital, PO Box 3406, 5203 DK, 's-Hertogenbosch, The Netherlands.
R J van MarumGeriatric Department, Jeroen Bosch Hospital, 's-Hertogenbosch, The Netherlands.
H J DerijksDepartment of Clinical Pharmacy, ZANOB, Jeroen Bosch Hospital, PO Box 3406, 5203 DK, 's-Hertogenbosch, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMedication-related problems can cause serious adverse drug events (ADEs) that may lead to hospitalization of the patient. There are multiple screening methods to detect and reduce potentially inappropriate medications (PIMs) and potential prescribing omissions (PPOs). Whether this will result in less medication-related hospitalizations is unknown. The study objective was to assess the risk of preventable medication-related hospital admissions associated with potentially inappropriate prescribing, using the Beers 2012 and the Screening Tool of Older Person's Prescriptions and the Screening Tool to Alert doctors to Right Treatment (STOPP & START) 2008 criteria. DESIGN, SETTING AND

participantsA nested case-control study was conducted with a subset of Dutch participants from the Hospital Admissions Related to Medication (HARM) study. Cases were defined as patients aged ≥65 years with a potentially preventable medication-related hospital admission. For each case, one control was selected, matched for age and sex. The primary determinant was the presence of one or more PIMs according to the Beers 2012 and STOPP 2008 criteria. The secondary determinant was the presence of one or more PIMs and PPOs according to the STOPP & START 2008 criteria. The strength of the association between inappropriate prescribing and medication-related hospital admission was evaluated with multivariate logistic regression and expressed as odds ratios (ORs) with 95 % confidence intervals (CIs).

resultsThe prevalence of Beers 2012 criteria PIMs in the total cohort was 44.4 %. The prevalence of STOPP & START 2008 criteria PIMs and PPOs were, respectively, 34.1 and 57.7 %. STOPP 2008 criteria PIMs were associated with preventable medication-related hospital admissions [OR adjusted for number of drugs and comorbidities (ORadj) 2.30, 95 % CI 1.30-4.07], whereas there was no association with Beers 2012 criteria PIMs (ORadj 1.49, 95 % CI 0.90-2.47). STOPP PIMs and START PPOs together were also associated with preventable medication-related hospital admissions (ORadj 3.47, 95 % CI 1.70-7.09).

conclusionOur study shows that patients with potentially inappropriate prescribing detected with the STOPP & START 2008 criteria are at risk of preventable medication-related hospital admissions. The STOPP & START 2008 criteria can be used to identify older people at risk of medication-related problems.

Indexed as

Potentially Inappropriate Medication ListAgedAged, 80 and overCase-Control StudiesDrug-Related Side Effects and Adverse ReactionsFemaleHospitalizationHumansInappropriate PrescribingLogistic ModelsMaleMultivariate AnalysisNetherlandsPrevalence

Identifiers

PMID26553305

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.