Evidence map›Paper›PMID 29422143›Full record

ArticleApplied nursing research : ANR2018

Using cognitive interviews to improve a Psychological-Social-Spiritual Healing instrument: Voices of aging African Americans with serious illness.

Heather Coats, Anne G Rosenfeld, Janice D Crist, Esther Sternberg, Ann Berger

Abstract readValidation Study
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Article in Applied nursing research : ANR, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Heather CoatsUniversity of Colorado, Anschutz Medical Campus, College of Nursing, 13120 E. 19th Avenue Aurora, CO 80045, United States. Electronic address: heather.coats@ucdenver.edu.
Anne G RosenfeldThe University of Arizona, College of Nursing, 1305 N. Martin Avenue, Tucson, AZ 85721-0203, United States. Electronic address: anner@email.arizona.edu.
Janice D CristThe University of Arizona, College of Nursing, 1305 N. Martin Avenue, Tucson, AZ 85721-0203, United States. Electronic address: jcrist@email.arizona.edu.
Esther SternbergUniversity of Arizona, College of Medicine, P.O. Box 245153, Tucson, AZ 85724-5153, United States. Electronic address: esternberg@email.arizona.edu.
Ann BergerNIH Clinical Center, 10 Center Dr, Bethesda, MD 20814, United States. Electronic address: ABerger@cc.nih.gov.

Funding

African American Elders' Psych-Social-Spiritual Healing across Serious IllnessF31NR014964 · NINR · UNIVERSITY OF ARIZONA · PI COATS, HEATHER L · 2014 to 2014
$33k
NINR NIH HHS F31 NR014964
6 · The paper itself

Abstract

aimThe purpose of this study was to contribute to content validity, by providing input into the linguistic and pragmatic validities, of a 53 item Psychological-Social-Spiritual Healing instrument.

backgroundDiscovery of cultural values and beliefs from African American elders' experiences of illness provides insight for development of more culturally sensitive instruments.

methodsThrough an exploratory descriptive design, this study used cognitive interviewing methods to examine linguistic and pragmatic validity of the Psychological-Social-Spiritual Healing instrument, from the perspectives of aging seriously ill AAs. Participants were recruited from urban Jackson, MS from community settings from October 2014 to January 2015. With a purposefully chosen sample of seriously ill African Americans elders (N=15), and using the method of cognitive interviewing, responses related to cultural relevance, clarity and meaning of the 53 items of the instrument were collected. This in-depth query of items was accomplished through the use of both verbal probing and think aloud methods of cognitive interviewing.

resultsThirty-seven items were retained. Eight items were revised. Eight items were deleted.

conclusionsFrom the expert input of seriously ill African American elders, a systematic decision-making process of item retention, revision or deletion led to the development of a more culturally sensitive Psychological-Social-Spiritual Healing instrument.

Indexed as

Social SupportAgedAged, 80 and overAttitude to DeathBlack or African AmericanCritical IllnessFemaleFrail ElderlyHumansMaleMississippiPalliative CarePsychometricsQuality of LifeReproducibility of ResultsSpiritual TherapiesAfrican AmericanCognitive interviewing methodologyInstrument developmentPsychological-social-spiritual healing

Identifiers

PMID29422143
PMCPMC5808604

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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.