Evidence map›Paper›PMID 36113012›Full record

ArticleResearch in gerontological nursing

"Please Don't Forget Us": A Descriptive Qualitative Study of Caregivers of Older Adults With Alzheimer's Disease and Related Dementias During the COVID-19 Pandemic.

Kathy C Richards, Kavita Radhakrishnan, Katherine Carroll Britt, Andrea Vanags-Louredo, Eunice Park, Nalaka S Gooneratne, Liam Fry

Open access · hybridAbstract read
In one paragraph

Article in Research in gerontological nursing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 11% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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 at 1 institution in 1 country.

Kathy C Richards
Kavita Radhakrishnan
Katherine Carroll Britt
Andrea Vanags-Louredo
Eunice Park
Nalaka S Gooneratne
Liam Fry
The University of Texas at Austin · US

Funding

Nighttime Agitation and Restless Legs Syndrome in People with Alzheimer's DiseaseR01AG051588 · NIA · UNIVERSITY OF TEXAS AT AUSTIN · PI RICHARDS, KATHY CULPEPPER · 2016 to 2020
$4.5M
NIA NIH HHS R01 AG051588
6 · The paper itself

Abstract

The current descriptive qualitative study explored the perceived impact of the coronavirus disease 2019 pandemic on sleep disturbances and nighttime agitation; the reported use of antipsychotics and other sedating medications; and the overall well-being of older adults with Alzheimer's disease and related dementias (ADRD) and their caregivers. One investigator conducted in-depth, phone interviews with caregivers of nursing home residents with ADRD (four family caregivers [FCs], three nurse practitioners [NPs]) and seven FCs of older adults with ADRD who lived with them at home. Caregivers described multiple sleep disturbances. Nighttime agitation symptoms were perceived to continue or worsen, and sedating medications and nonpharmacological interventions were required. Adverse impacts on reported well-being were significant, and impacts were grouped into emotional, social, and physical themes. Caregivers said, "Please don't forget us," and requested telehealth support for those at home and technology and human resources for nursing homes to reduce adverse impacts. [

Indexed as

Alzheimer DiseaseAntipsychotic AgentsCOVID-19Sleep Wake DisordersAgedCaregiversHumansPandemicsAntipsychotic Agents

Identifiers

PMID36113012
PMCPMC10187068
OpenAlexW4296162285

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.