Evidence map›Paper›PMID 35065614›Full record

ArticleBMC geriatrics2022

Potentially inappropriate medications in relation to length of nursing home stay among older adults.

Eva Sönnerstam, Maria Gustafsson, Hugo Lövheim

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2022. 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
0.6field-weighted citation impact, top 36% 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, 4 citations in OpenAlex.

  1. Article
  2. 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.

Eva SönnerstamDepartment of Integrative Medical Biology, Umeå University, SE-901 87, Umeå, Sweden. eva.sonnerstam@umu.se.
Maria GustafssonDepartment of Integrative Medical Biology, Umeå University, SE-901 87, Umeå, Sweden.
Hugo LövheimDepartment of Community Medicine and Rehabilitation, Umeå University, 901 87, Umeå, Sweden.
Umeå University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo investigate the use of potentially inappropriate medications and their relation to the length of nursing home stay among older adults.

methodsQuestionnaire surveys using the Multi-Dimensional Dementia Assessment scale were sent out to all nursing homes in Västerbotten county in northern Sweden in 2007 and 2013. In total, 3186 adults (1881 from 2007 and 1305 from 2013) ≥65 years old were included and 71.8% of those had cognitive impairment. Potentially inappropriate medications were identified using drug-specific quality indicators according to Swedish National Board of Health and Welfare.

resultsPotentially inappropriate medications were used by 48.0% of the 2007 study sample and by 28.4% of the 2013 study sample. The prevalence of glibenclamide use 2007 and antipsychotic drug use 2013 increased linearly (β = 0.534E

conclusionsThese results indicate that treatment with potentially inappropriate medications is common among older adults living in nursing homes, but it seems to be related to the length of nursing home stay only to a smaller extent. Drug treatment should regularly be reviewed and followed-up among nursing home residents regardless of their length of nursing home stay, in order to prevent unnecessary adverse events.

Indexed as

Antipsychotic AgentsPotentially Inappropriate Medication ListAgedBenzodiazepinesHumansInappropriate PrescribingNursing HomesPrevalenceAntipsychotic AgentsBenzodiazepinesLength of stayMajor neurocognitive disordersNursing homesOlder adultsPotentially inappropriate medications

Identifiers

PMID35065614
PMCPMC8783464
OpenAlexW4206986938

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.