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Measuring bereavement prevalence in a complex sampling survey: the 2019 Georgia Behavioral Risk Factor Surveillance System (BRFSS)

BACKGROUND: The Behavioral Risk Factor Surveillance System (BRFSS) is an annual survey designed to identify trends in the public’s health. In its 2019 field survey, the U.S. state of GA tested a new 3 – item module to measure the numbers of bereaved, resident adults aged 18 years and older. Particip...

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Autores principales: Li, Changle, Miles, Toni P., Shen, Ye, Bayakly, Rana, Ido, Moses, Khan, M. Mahmud
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10262108/
https://www.ncbi.nlm.nih.gov/pubmed/37312061
http://dx.doi.org/10.1186/s12874-023-01917-5
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author Li, Changle
Miles, Toni P.
Shen, Ye
Bayakly, Rana
Ido, Moses
Khan, M. Mahmud
author_facet Li, Changle
Miles, Toni P.
Shen, Ye
Bayakly, Rana
Ido, Moses
Khan, M. Mahmud
author_sort Li, Changle
collection PubMed
description BACKGROUND: The Behavioral Risk Factor Surveillance System (BRFSS) is an annual survey designed to identify trends in the public’s health. In its 2019 field survey, the U.S. state of GA tested a new 3 – item module to measure the numbers of bereaved, resident adults aged 18 years and older. Participants were eligible if they answered ‘Yes’ to the item ‘Have you experienced the death of a family member or close friend in the years 2018 or 2019?’. This analysis explores two research questions. Can estimates for bereavement prevalence be derived without large sampling errors, low precision, and small subsamples? Can multiple imputation techniques be applied to overcome non-response and missing data to support multivariate modeling? METHODS: BRFSS is a non-institutionalized sample of adults aged 18 years and older living in the U.S. state of Georgia. Analyses in this study were conducted under two scenarios. Scenario 1 applies the complex sample weights created by the Centers for Disease Control and imputes values for missing responses. Scenario 2 treats the data as a panel – no weighting combined with removal of persons with missing data. Scenario 1 reflects the use of BRFSS data for public health and policy, while Scenario 2 reflects data as it is commonly used in social science research studies. RESULTS: The bereavement screening item has a response rate (RR) of 69.1% (5206 of 7534 persons). Demographic subgroups and categories of health have RR of 55% or more. Under Scenario 1, the estimated prevalence of bereavement is 45.38%, meaning that 3,739,120 adults reported bereaved in 2018 or 2019. The estimated prevalence is 46.02% with Scenario 2 which removes persons with any missing data (4,289 persons). Scenario 2 overestimates the bereavement prevalence by 1.39%. An illustrative logistic model is presented to show the performance of exposure to bereavement under the two data scenarios. CONCLUSIONS: Recent bereavement can be ascertained in a surveillance survey accounting for biases in response. Estimating bereavement prevalence is needed for measuring population health. This survey is limited to one US state in a single year and excludes persons aged 17 years and younger. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12874-023-01917-5.
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spelling pubmed-102621082023-06-14 Measuring bereavement prevalence in a complex sampling survey: the 2019 Georgia Behavioral Risk Factor Surveillance System (BRFSS) Li, Changle Miles, Toni P. Shen, Ye Bayakly, Rana Ido, Moses Khan, M. Mahmud BMC Med Res Methodol Research BACKGROUND: The Behavioral Risk Factor Surveillance System (BRFSS) is an annual survey designed to identify trends in the public’s health. In its 2019 field survey, the U.S. state of GA tested a new 3 – item module to measure the numbers of bereaved, resident adults aged 18 years and older. Participants were eligible if they answered ‘Yes’ to the item ‘Have you experienced the death of a family member or close friend in the years 2018 or 2019?’. This analysis explores two research questions. Can estimates for bereavement prevalence be derived without large sampling errors, low precision, and small subsamples? Can multiple imputation techniques be applied to overcome non-response and missing data to support multivariate modeling? METHODS: BRFSS is a non-institutionalized sample of adults aged 18 years and older living in the U.S. state of Georgia. Analyses in this study were conducted under two scenarios. Scenario 1 applies the complex sample weights created by the Centers for Disease Control and imputes values for missing responses. Scenario 2 treats the data as a panel – no weighting combined with removal of persons with missing data. Scenario 1 reflects the use of BRFSS data for public health and policy, while Scenario 2 reflects data as it is commonly used in social science research studies. RESULTS: The bereavement screening item has a response rate (RR) of 69.1% (5206 of 7534 persons). Demographic subgroups and categories of health have RR of 55% or more. Under Scenario 1, the estimated prevalence of bereavement is 45.38%, meaning that 3,739,120 adults reported bereaved in 2018 or 2019. The estimated prevalence is 46.02% with Scenario 2 which removes persons with any missing data (4,289 persons). Scenario 2 overestimates the bereavement prevalence by 1.39%. An illustrative logistic model is presented to show the performance of exposure to bereavement under the two data scenarios. CONCLUSIONS: Recent bereavement can be ascertained in a surveillance survey accounting for biases in response. Estimating bereavement prevalence is needed for measuring population health. This survey is limited to one US state in a single year and excludes persons aged 17 years and younger. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12874-023-01917-5. BioMed Central 2023-06-13 /pmc/articles/PMC10262108/ /pubmed/37312061 http://dx.doi.org/10.1186/s12874-023-01917-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Li, Changle
Miles, Toni P.
Shen, Ye
Bayakly, Rana
Ido, Moses
Khan, M. Mahmud
Measuring bereavement prevalence in a complex sampling survey: the 2019 Georgia Behavioral Risk Factor Surveillance System (BRFSS)
title Measuring bereavement prevalence in a complex sampling survey: the 2019 Georgia Behavioral Risk Factor Surveillance System (BRFSS)
title_full Measuring bereavement prevalence in a complex sampling survey: the 2019 Georgia Behavioral Risk Factor Surveillance System (BRFSS)
title_fullStr Measuring bereavement prevalence in a complex sampling survey: the 2019 Georgia Behavioral Risk Factor Surveillance System (BRFSS)
title_full_unstemmed Measuring bereavement prevalence in a complex sampling survey: the 2019 Georgia Behavioral Risk Factor Surveillance System (BRFSS)
title_short Measuring bereavement prevalence in a complex sampling survey: the 2019 Georgia Behavioral Risk Factor Surveillance System (BRFSS)
title_sort measuring bereavement prevalence in a complex sampling survey: the 2019 georgia behavioral risk factor surveillance system (brfss)
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10262108/
https://www.ncbi.nlm.nih.gov/pubmed/37312061
http://dx.doi.org/10.1186/s12874-023-01917-5
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