Evidence map›Paper›PMID 34079606›Full record

ArticleCanadian geriatrics journal : CGJ2021

A Non-Pharmacologic Approach to Manage Behaviours in Confused Medically Ill Older Adults in Acute Care.

Monidipa Dasgupta, Lyndsay Beker, Kim Schlegel, Loretta M Hillier, Lisa Joworski, Karli Crunican, Corrine Coulter

Abstract read
In one paragraph

Article in Canadian geriatrics journal : CGJ, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

7 authors.

Monidipa DasguptaDivision of Geriatric Medicine, Shulich School of Medicine, Western University, London, ON.
Lyndsay BekerLondon Health Sciences Centre, London, ON.
Kim SchlegelLondon Health Sciences Centre, London, ON.
Loretta M HillierGERAS Centre for Aging Research, Hamilton Health Sciences, Hamilton, ON.
Lisa JoworskiLondon Health Sciences Centre, London, ON.
Karli CrunicanLondon Health Sciences Centre, London, ON.
Corrine CoulterDepartment of Family Medicine, Shulich School of Medicine, Western University, London, ON.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-pharmacological interventions are recommended to manage challenging behaviours among cognitively impaired older adults, however few studies have enrolled patients in acute care. This study aimed to determine the feasibility of implementing non-pharmacological interventions to manage behaviours in hospitalized older adults.

methodA self-identity approach was used to identify potentially engaging activities for 13 older medically ill adults admitted to acute hospital; these activities were trialed for a two-week period. Data were collected on frequency of intervention administration and assistance required, as well as frequency of behaviours and neuroleptic use in the seven days prior to and following the trial of activities.

resultsPer participant, 5-11 interventions were prescribed. Most frequently interventions were tried two or more times (46%); 9% were not tried at all. Staff or family assistance was not required for 27% of activities. The mean number of documented behaviours across participants was 4.8 ± 2.3 in the pre-intervention period and 2.1 ± 1.9 in the post-intervention period. Overall the interventions were feasible and did not result in increasing neuroleptic use.

conclusionNon-pharmacologic interventions may be feasible to implement in acute care. More research in this area is justified.

Indexed as

acute careagedcognitive disordersdeliriumdementianonpharmacologic interventionpsychomotor agitationresponsive behaviours

Identifiers

PMID34079606
PMCPMC8137457

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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.