Evidence map›Paper›PMID 26913174›Full record

ArticleTherapeutic advances in psychopharmacology2016

The type and prevalence of the use of analgesics among inpatients in a geriatric psychiatry department.

Pernille Jul Østergaard, Lea Nørgreen Gustafsson, Eyd Hansen Høyer, Povl Munk-Jørgensen

Open access · bronzeAbstract read
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Article in Therapeutic advances in psychopharmacology, 2016. 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
1.1field-weighted citation impact, top 14% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

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

4 authors at 1 institution in 1 country.

Pernille Jul ØstergaardAarhus University Hospital, Risskov, Hørret Byvej 31, 8320 Mårslet, Aarhus, Denmark.
Lea Nørgreen GustafssonAarhus University Hospital, Risskov, Aarhus, Denmark.
Eyd Hansen HøyerAarhus University Hospital, Risskov, Aarhus, Denmark.
Povl Munk-JørgensenAarhus University Hospital, Risskov, Aarhus, Denmark.
Aarhus University Hospital · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe association between the presence of pain and mental disorder is well known. The extent of pain treatment in psychiatric patients is estimated to be high, but there is a lack of recent studies focusing on analgesic treatment in patients with mental disorders. The use of analgesics can be associated with side effects, and it is possible that analgesics are not the correct treatment for chronic pain among patients with mental disorders.

methodsData were obtained among inpatients in a geriatric psychiatry department at Aarhus University Hospital, Risskov, Denmark, between 1 April 2013 and 1 October 2013. The study examines the extent of analgesic use by patients at admission with a follow up at discharge to note any change during hospitalization.

resultsA total of 89 patients aged 68 years or older were included (56 women, 33 men). At admission, 51.7% used analgesics, and this number did not change significantly from admission to discharge. A statistically significant increased risk of analgesic use was found in females (odds ratio 4.0). The indications for analgesic use were not present in 34.5% of the pain-treated patients at admission. At discharge, this number had been reduced to 23.1%. Paracetamol was the drug most frequently used, followed by opioids.

conclusionsThe use of analgesics among aged psychiatric inpatients is high. An increased focus on this topic is recommended.

Indexed as

acetaminophenagedanalgesicsmental disorderpsychotropic drugs

Identifiers

PMID26913174
PMCPMC4749741
OpenAlexW2336788998

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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.