Cargando…

How participants report their health status: cognitive interviews of self-rated health across race/ethnicity, gender, age, and educational attainment

BACKGROUND: Self-rated health (SRH) is widely used to measure subjective health. Yet it is unclear what underlies health ratings, with implications for understanding the validity of SRH overall and across sociodemographic characteristics. We analyze participants’ explanations of how they formulated...

Descripción completa

Detalles Bibliográficos
Autores principales: Garbarski, Dana, Dykema, Jennifer, Croes, Kenneth D., Edwards, Dorothy F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5628425/
https://www.ncbi.nlm.nih.gov/pubmed/28978325
http://dx.doi.org/10.1186/s12889-017-4761-2
_version_ 1783268880574054400
author Garbarski, Dana
Dykema, Jennifer
Croes, Kenneth D.
Edwards, Dorothy F.
author_facet Garbarski, Dana
Dykema, Jennifer
Croes, Kenneth D.
Edwards, Dorothy F.
author_sort Garbarski, Dana
collection PubMed
description BACKGROUND: Self-rated health (SRH) is widely used to measure subjective health. Yet it is unclear what underlies health ratings, with implications for understanding the validity of SRH overall and across sociodemographic characteristics. We analyze participants’ explanations of how they formulated their SRH answer in addition to which health factors they considered and examine group differences in these processes. METHODS: Cognitive interviews were conducted with 64 participants in a convenience quota sample crossing dimensions of race/ethnicity (white, Latino, black, American Indian), gender, age, and education. Participants rated their health then described their thoughts when answering SRH. We coded participants’ answers in an inductive, iterative, and systematic process from interview transcripts, developing analytic categories (i.e., themes) and subdimensions within. We examined whether the presence of each dimension of an analytic category varied across sociodemographic groups. RESULTS: Our qualitative analysis led to the identification and classification of various subdimensions of the following analytic categories: types of health factors mentioned, valence of health factors, temporality of health factors, conditional health statements, and descriptions and definitions of health. We found differences across groups in some types of health factors mentioned—corresponding, conflicting, or novel with respect to prior research. Furthermore, we also documented various processes through which respondents integrate seemingly disparate health factors to formulate an answer through valence and conditional health statements. Finally, we found some evidence of sociodemographic group differences with respect to types of health factors mentioned, valence of health factors, and conditional health statements, highlighting avenues for future research. CONCLUSION: This study provides a description of how participants rate their general health status and highlights potential differences in these processes across sociodemographic groups, helping to provide a more comprehensive understanding of how SRH functions as a measure of health.
format Online
Article
Text
id pubmed-5628425
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-56284252017-10-13 How participants report their health status: cognitive interviews of self-rated health across race/ethnicity, gender, age, and educational attainment Garbarski, Dana Dykema, Jennifer Croes, Kenneth D. Edwards, Dorothy F. BMC Public Health Research Article BACKGROUND: Self-rated health (SRH) is widely used to measure subjective health. Yet it is unclear what underlies health ratings, with implications for understanding the validity of SRH overall and across sociodemographic characteristics. We analyze participants’ explanations of how they formulated their SRH answer in addition to which health factors they considered and examine group differences in these processes. METHODS: Cognitive interviews were conducted with 64 participants in a convenience quota sample crossing dimensions of race/ethnicity (white, Latino, black, American Indian), gender, age, and education. Participants rated their health then described their thoughts when answering SRH. We coded participants’ answers in an inductive, iterative, and systematic process from interview transcripts, developing analytic categories (i.e., themes) and subdimensions within. We examined whether the presence of each dimension of an analytic category varied across sociodemographic groups. RESULTS: Our qualitative analysis led to the identification and classification of various subdimensions of the following analytic categories: types of health factors mentioned, valence of health factors, temporality of health factors, conditional health statements, and descriptions and definitions of health. We found differences across groups in some types of health factors mentioned—corresponding, conflicting, or novel with respect to prior research. Furthermore, we also documented various processes through which respondents integrate seemingly disparate health factors to formulate an answer through valence and conditional health statements. Finally, we found some evidence of sociodemographic group differences with respect to types of health factors mentioned, valence of health factors, and conditional health statements, highlighting avenues for future research. CONCLUSION: This study provides a description of how participants rate their general health status and highlights potential differences in these processes across sociodemographic groups, helping to provide a more comprehensive understanding of how SRH functions as a measure of health. BioMed Central 2017-10-04 /pmc/articles/PMC5628425/ /pubmed/28978325 http://dx.doi.org/10.1186/s12889-017-4761-2 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Garbarski, Dana
Dykema, Jennifer
Croes, Kenneth D.
Edwards, Dorothy F.
How participants report their health status: cognitive interviews of self-rated health across race/ethnicity, gender, age, and educational attainment
title How participants report their health status: cognitive interviews of self-rated health across race/ethnicity, gender, age, and educational attainment
title_full How participants report their health status: cognitive interviews of self-rated health across race/ethnicity, gender, age, and educational attainment
title_fullStr How participants report their health status: cognitive interviews of self-rated health across race/ethnicity, gender, age, and educational attainment
title_full_unstemmed How participants report their health status: cognitive interviews of self-rated health across race/ethnicity, gender, age, and educational attainment
title_short How participants report their health status: cognitive interviews of self-rated health across race/ethnicity, gender, age, and educational attainment
title_sort how participants report their health status: cognitive interviews of self-rated health across race/ethnicity, gender, age, and educational attainment
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5628425/
https://www.ncbi.nlm.nih.gov/pubmed/28978325
http://dx.doi.org/10.1186/s12889-017-4761-2
work_keys_str_mv AT garbarskidana howparticipantsreporttheirhealthstatuscognitiveinterviewsofselfratedhealthacrossraceethnicitygenderageandeducationalattainment
AT dykemajennifer howparticipantsreporttheirhealthstatuscognitiveinterviewsofselfratedhealthacrossraceethnicitygenderageandeducationalattainment
AT croeskennethd howparticipantsreporttheirhealthstatuscognitiveinterviewsofselfratedhealthacrossraceethnicitygenderageandeducationalattainment
AT edwardsdorothyf howparticipantsreporttheirhealthstatuscognitiveinterviewsofselfratedhealthacrossraceethnicitygenderageandeducationalattainment