Evidence map›Paper›PMID 33949247›Full record

ArticleJournal of primary care & community health

Revelations from the Clinic: Protective Behaviors and Perceptions among People at High Risk for Severe Illness from COVID-19.

Frances R Greathouse, Sally T Nagia, Morsi S Rayyan, Beth A Bailey

Abstract read
In one paragraph

Article in Journal of primary care & community health. 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
–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

1 citing paper in PubMed.

  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.

Frances R GreathouseCentral Michigan College of Medicine, Mount Pleasant, MI, USA.
Sally T NagiaCentral Michigan College of Medicine, Mount Pleasant, MI, USA.
Morsi S RayyanCentral Michigan College of Medicine, Mount Pleasant, MI, USA.
Beth A BaileyCentral Michigan College of Medicine, Mount Pleasant, MI, USA.ORCID 0000-0002-5637-9983

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe CDC has warned of increased risk for severe COVID-19 illness among those with certain preexisting conditions. Protective behaviors such as social distancing and mask-wearing have been shown effective at curbing infection rates. These practices are subject to individual perceptions of risk and responsibility. This study aimed to characterize the risk perceptions and protective behaviors of residents in a rural central Michigan region. Specifically, we examined whether individual risk status predicted protective behaviors and concern about the pandemic.

methodsParticipants were identified via medical records at participating clinics. The high-risk group was those with conditions that put them at increased risk of severe illness from COVID-19, and was compared to healthy controls. Data were collected via phone survey. Participants were asked about their protective behaviors and level of concern about the ongoing pandemic.

resultsA total of 150 patients participated in the survey; 73 were high-risk acknowledgers, 29 were high-risk deniers, and 48 were healthy controls. There was no significant difference between the groups on level of concern regarding the pandemic or protective behaviors (

conclusionsIn this study, high risk, whether acknowledged or denied, did not appear to significantly impact behaviors or concern. The high percentage of those at high risk who did not acknowledge this suggests many factors including a potential lack of patient education regarding their comorbidities, specifically, how their illness increases their risk of severe illness from COVID-19.

Indexed as

COVID-19Health BehaviorHumansPandemicsPerceptionSARS-CoV-2comorbiditiesCOVID-19patient educationprotective behaviorssocial distancing

Identifiers

PMID33949247
PMCPMC8114313

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Registered trials

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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.