Evidence map›Paper›PMID 41428173›Full record

ArticleJournal of clinical psychology in medical settings2026

Impact of Client Race on Medical Resident Communication About Infant Safe Sleep.

Summer Chahin, Amy Damashek

Abstract read
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In one paragraph

Article in Journal of clinical psychology in medical settings, 2026. 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
–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

0 citing papers in PubMed.

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

2 authors.

Summer ChahinDepartment of Pediatric & Adolescent Medicine, Western Michigan University Homer Stryker M.D. School of Medicine, Kalamazoo, MI, 49008, USA. Summer.chahin@wmed.edu.ORCID http://orcid.org/0000-0002-5771-3437
Amy DamashekDepartment of Psychology, Western Michigan University, Kalamazoo, MI, 49008, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sleep-related deaths are a preventable cause of infant mortality. Pediatricians can promote infant safe sleep practices; however, communication barriers may arise, especially for patients of color. This study examined how patient race and ethnicity relate to the length and quality of safe sleep discussions with pediatric residents. Sixteen pediatric residents completed questionnaires on safe sleep knowledge and attitudes. Observations were conducted during 102 well-baby visits to measure time spent discussing safe sleep and frequency of effective communication skills used by residents. In descriptive analyses, residents spent less time discussing safe sleep with Black and other patients of color compared to White patients. In multivariate models, caregiver receptiveness, rather than client race and ethnicity, predicted time discussing infant safe sleep. However, when receptiveness was removed from the model, caregiver race and ethnicity did predict time discussing infant safe sleep such that providers spent less time talking to Black caregivers and caregivers of color. Race and ethnicity did not predict resident use of MI skills. Residents may experience communication challenges when discussing infant safe sleep, particularly with patients of color. Client receptiveness and race appear to be important variables with regard to patient-provider communication about infant safe sleep.

Indexed as

CommunicationInternship and ResidencyPediatricsPhysician-Patient RelationsRacial GroupsSleepSudden Infant DeathAdultFemaleHealth Knowledge, Attitudes, PracticeHumansInfantInfant, NewbornMaleDisparitiesInfant safe sleepMotivational interviewingRacial and healthResident education

Identifiers

What OpenQuestion holds

Textmetadata
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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.