Evidence map›Paper›PMID 33194125›Full record

ArticleJournal of community hospital internal medicine perspectives2020

The cascade of benzodiazepine prescribing for hospitalized geriatric patients.

Neshahthari Wijeyakuhan, Rachel Gruber, Nicholas A Rattray

Open access · goldAbstract read
In one paragraph

Article in Journal of community hospital internal medicine perspectives, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 52% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

3 authors at 1 institution in 1 country.

Neshahthari WijeyakuhanAdvanced Scholars Program for Internists in Research and Education (ASPIRE), Indiana University (IU) School of Medicine, Indianapolis, IN, USA.ORCID https://orcid.org/0000-0003-0633-6560
Rachel GruberAdvanced Scholars Program for Internists in Research and Education (ASPIRE), Indiana University (IU) School of Medicine, Indianapolis, IN, USA.
Nicholas A RattrayAdvanced Scholars Program for Internists in Research and Education (ASPIRE), Indiana University (IU) School of Medicine, Indianapolis, IN, USA.ORCID https://orcid.org/0000-0002-9683-889X
Regenstrief Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHospitalists increasingly provide care for geriatric patients and little is known about the extent to which hospitalists adhere to evidence-based medication guidelines. This study aimed to characterize hospitalist adherence to BEERS guidelines for prescribing and monitoring benzodiazepines for older adults.

methodsWe conducted a retrospective chart review of admitted patients aged 70-85 years who had been prescribed benzodiazepine. Charts from 351 patients were analyzed for documentation and decision rationale, which included 638 separate notes.

resultsBenzodiazepines were prescribed 28.2% of the time to address anxiety, which is inconsistent with the BEERS criteria; 39% had adequate data in the impression and plan section of the note to reflect why benzodiazepine was prescribed. Of note, the majority of notes had partial or missing data.

conclusionPhysicians tended to follow guidelines more than advance practice providers. Wide variation persists in prescribing practices and documentation related to benzodiazepines and both could potentially be addressed with further training.

Indexed as

beers criteriaClinical practice guidelinesdocumentationgeriatricspatient safety

Identifiers

PMID33194125
PMCPMC7599010
OpenAlexW3095210135

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.