Evidence map›Paper›PMID 35112602›Full record

ArticleWorkplace health & safety2022

Retirement Center Worker Sleep Health Assessment During the COVID-19 Pandemic.

Beverly M Hittle, Ruth M Norrell, Shammah O Omololu, Megan Gresham-Ulrich

Open access · bronzeAbstract read
In one paragraph

Article in Workplace health & safety, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

4 authors at 1 institution in 1 country.

Beverly M HittleUniversity of Cincinnati.ORCID https://orcid.org/0000-0001-6327-3901
Ruth M NorrellUniversity of Cincinnati.
Shammah O OmololuUniversity of Cincinnati.
Megan Gresham-UlrichMaple Knoll Communities, Inc.
University of Cincinnati · US

Funding

LCenter for Clinical and Translational Science and TrainingUL1TR001425 · NCATS · UNIVERSITY OF CINCINNATI · PI MEINZEN-DERR, JAREEN, STRAWN, JEFFREY ROBERT · 2015 to 2024
$37.5M
NCATS NIH HHS UL1 TR001425NIOSH CDC HHS T42 OH008432
6 · The paper itself

Abstract

backgroundSleep health disturbances can increase risks for workplace injury, error, and poor worker health. Essential workers have reported sleep disturbances since the COVID-19 pandemic onset, which may jeopardize their health and safety. The aims of this project were to assess sleep health among Continuing Care Retirement Community (CCRC) workers, examine potential differences between worker types, and describe the self-perceived impact of COVID-19 on workers' workload and sleep.

methodsThrough an academic-practice partnership, this needs assessment used a cross-sectional design that collected self-report data during fall 2020 from CCRC workers. Guided by the Workplace Health Model, survey questions included work characteristics, sleep health, and COVID-19 impact on sleep and workload.

findingsNinety-four respondents completed the survey across multiple departments. Respondents ( CONCLUSION/APPLICATION TO PRACTICE: Proper sleep health is essential to workplace safety and worker health. By assessing sleep health during a crisis, occupational health nurses can identify opportunities to support worker health and safety, through sleep education, monitoring for sleepiness and fatigue, ensuring countermeasures are available (e.g., caffeine), and assessing for opportunities to change organizational policies.

Indexed as

COVID-19Sleep Wake DisordersCross-Sectional StudiesFatigueHumansPandemicsRetirementSleephealth assessmenthealth promotionoccupational health nursingpost-acute caresleep

Identifiers

PMID35112602
PMCPMC12376062
OpenAlexW4210465196

What OpenQuestion holds

Textmetadata
LicenceTDM
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.