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A population-based cross-sectional study of health service deficits among U.S. adults with depressive symptoms

BACKGROUND: Depression is a psychiatric condition that affects approximately one in five U.S. adults in their lifetime. No study that we know of has examined depressive symptoms and health service deficits in rural compared with non-rural populations. Four factors constitute the variable health serv...

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Autores principales: Huot, Krista L, Lutfiyya, May Nawal, Akers, Michael F, Amaro, Maria L, Swanoski, Michael T, Schweiss, Sarah K
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3662567/
https://www.ncbi.nlm.nih.gov/pubmed/23634983
http://dx.doi.org/10.1186/1472-6963-13-160
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author Huot, Krista L
Lutfiyya, May Nawal
Akers, Michael F
Amaro, Maria L
Swanoski, Michael T
Schweiss, Sarah K
author_facet Huot, Krista L
Lutfiyya, May Nawal
Akers, Michael F
Amaro, Maria L
Swanoski, Michael T
Schweiss, Sarah K
author_sort Huot, Krista L
collection PubMed
description BACKGROUND: Depression is a psychiatric condition that affects approximately one in five U.S. adults in their lifetime. No study that we know of has examined depressive symptoms and health service deficits in rural compared with non-rural populations. Four factors constitute the variable health service deficits: did not have health insurance, did not have a healthcare provider, deferred medical care because of cost and did not have a routine medical exam, all within the last 12 months. The aim of this study was to ascertain the prevalence of health service deficits in rural versus non-rural adults with depressive symptoms. Examining depressive symptoms by health service deficits is important because it allows us to approximate those with the condition who might not be receiving care for it. By analyzing national, population-based data, this study sought to fill in some important epidemiological gaps regarding depressive symptoms and health service deficits. METHODS: For this analysis the population of interest was U.S. adults identified as currently having depressive symptoms using the PHQ-8 criteria. Behavior Risk Factor Surveillance Survey 2006 data were used in this analysis. Health service deficits was the primary dependent variable. Multivariate logistic regression analysis was performed to examine health service deficits experienced by adults with depression controlling for socioeconomic status, race and ethnicity and geographic locale (rural or non-rural). RESULTS: Logistic regression analysis yielded that U.S. adults currently having depressive symptoms who were of low socioeconomic status, Hispanic ethnicity, or living in a rural locale were more likely to have at least one health service deficit. CONCLUSION: Analyzing data collected by a large surveillance system such as BRFSS, allows for an analysis incorporating an array of covariates not available from clinically-based data such as electronic health records. By identifying clinically depressed U.S. adults who also have at least one health service deficit, we were able to ascertain those most likely not receiving care for this debilitating condition. We believe community pharmacists are well suited to assist in connecting depressed, vulnerable populations with appropriate and needed care. This care would be best provided by an inter-professional team led by a primary care provider.
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spelling pubmed-36625672013-05-24 A population-based cross-sectional study of health service deficits among U.S. adults with depressive symptoms Huot, Krista L Lutfiyya, May Nawal Akers, Michael F Amaro, Maria L Swanoski, Michael T Schweiss, Sarah K BMC Health Serv Res Research Article BACKGROUND: Depression is a psychiatric condition that affects approximately one in five U.S. adults in their lifetime. No study that we know of has examined depressive symptoms and health service deficits in rural compared with non-rural populations. Four factors constitute the variable health service deficits: did not have health insurance, did not have a healthcare provider, deferred medical care because of cost and did not have a routine medical exam, all within the last 12 months. The aim of this study was to ascertain the prevalence of health service deficits in rural versus non-rural adults with depressive symptoms. Examining depressive symptoms by health service deficits is important because it allows us to approximate those with the condition who might not be receiving care for it. By analyzing national, population-based data, this study sought to fill in some important epidemiological gaps regarding depressive symptoms and health service deficits. METHODS: For this analysis the population of interest was U.S. adults identified as currently having depressive symptoms using the PHQ-8 criteria. Behavior Risk Factor Surveillance Survey 2006 data were used in this analysis. Health service deficits was the primary dependent variable. Multivariate logistic regression analysis was performed to examine health service deficits experienced by adults with depression controlling for socioeconomic status, race and ethnicity and geographic locale (rural or non-rural). RESULTS: Logistic regression analysis yielded that U.S. adults currently having depressive symptoms who were of low socioeconomic status, Hispanic ethnicity, or living in a rural locale were more likely to have at least one health service deficit. CONCLUSION: Analyzing data collected by a large surveillance system such as BRFSS, allows for an analysis incorporating an array of covariates not available from clinically-based data such as electronic health records. By identifying clinically depressed U.S. adults who also have at least one health service deficit, we were able to ascertain those most likely not receiving care for this debilitating condition. We believe community pharmacists are well suited to assist in connecting depressed, vulnerable populations with appropriate and needed care. This care would be best provided by an inter-professional team led by a primary care provider. BioMed Central 2013-05-01 /pmc/articles/PMC3662567/ /pubmed/23634983 http://dx.doi.org/10.1186/1472-6963-13-160 Text en Copyright © 2013 Huot et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Huot, Krista L
Lutfiyya, May Nawal
Akers, Michael F
Amaro, Maria L
Swanoski, Michael T
Schweiss, Sarah K
A population-based cross-sectional study of health service deficits among U.S. adults with depressive symptoms
title A population-based cross-sectional study of health service deficits among U.S. adults with depressive symptoms
title_full A population-based cross-sectional study of health service deficits among U.S. adults with depressive symptoms
title_fullStr A population-based cross-sectional study of health service deficits among U.S. adults with depressive symptoms
title_full_unstemmed A population-based cross-sectional study of health service deficits among U.S. adults with depressive symptoms
title_short A population-based cross-sectional study of health service deficits among U.S. adults with depressive symptoms
title_sort population-based cross-sectional study of health service deficits among u.s. adults with depressive symptoms
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3662567/
https://www.ncbi.nlm.nih.gov/pubmed/23634983
http://dx.doi.org/10.1186/1472-6963-13-160
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