Evidence map›Paper›PMID 37714927›Full record

ArticleScientific reports2023

Comparing prevalence and types of potentially inappropriate medications among patient groups in a post-acute and secondary care hospital.

Hirotaka Nakashima, Hiromichi Ando, Hiroyuki Umegaki

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Hirotaka NakashimaDepartment of Community Healthcare and Geriatrics, Nagoya University Graduate School of Medicine, 65 Tsurumai-Cho, Showa-Ku, Nagoya, Aichi, 466-8560, Japan. naka621@med.nagoya-u.ac.jp.
Hiromichi AndoWako-Kai Yamada Hospital, Gifu, Gifu, Japan.
Hiroyuki UmegakiDepartment of Community Healthcare and Geriatrics, Nagoya University Graduate School of Medicine, 65 Tsurumai-Cho, Showa-Ku, Nagoya, Aichi, 466-8560, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reducing potentially inappropriate medications (PIMs) is a challenge in post-acute care hospitals. Some PIMs may be associated with patient characteristics and it may be useful to focus on frequent PIMs. This study aimed to identify characteristic features of PIMs by grouping patients as in everyday clinical practice. A retrospective review of medical records was conducted for 541 patients aged 75 years or older in a Japanese post-acute and secondary care hospital. PIMs on admission were identified using the Screening Tool for Older Person's Appropriate Prescriptions for Japanese. The patients were divided into four groups based on their primary disease and reason for hospitalization: post-acute orthopedics, post-acute neurological disorders, post-acute others, and subacute. Approximately 60.8% of the patients were taking PIMs, with no significant difference among the four patient groups in terms of prevalence of PIMs (p = 0.08). However, characteristic features of PIM types were observed in each patient group. Hypnotics and nonsteroidal anti-inflammatory drugs were common in the post-acute orthopedics group, multiple antithrombotic agents in the post-acute neurological disorders group, diuretics in the post-acute others group, and hypnotics and diuretics in the subacute group. Grouping patients in clinical practice revealed characteristic features of PIM types in each group.

Indexed as

Potentially Inappropriate Medication ListSecondary Health CareAgedDiureticsHospitalsHumansHypnotics and SedativesPrevalenceDiureticsHypnotics and Sedatives

Identifiers

PMID37714927
PMCPMC10504332

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.