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Comparison of sample characteristics in two pregnancy cohorts: community-based versus population-based recruitment methods

BACKGROUND: One of the biggest challenges for population health studies is the recruitment of participants. Questions that investigators have asked are “who volunteers for studies?” and “does recruitment method influence characteristics of the samples?” The purpose of this paper was to compare sampl...

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Autores principales: Leung, Brenda MY, McDonald, Sheila W, Kaplan, Bonnie J, Giesbrecht, Gerald F, Tough, Suzanne C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4029181/
https://www.ncbi.nlm.nih.gov/pubmed/24314150
http://dx.doi.org/10.1186/1471-2288-13-149
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author Leung, Brenda MY
McDonald, Sheila W
Kaplan, Bonnie J
Giesbrecht, Gerald F
Tough, Suzanne C
author_facet Leung, Brenda MY
McDonald, Sheila W
Kaplan, Bonnie J
Giesbrecht, Gerald F
Tough, Suzanne C
author_sort Leung, Brenda MY
collection PubMed
description BACKGROUND: One of the biggest challenges for population health studies is the recruitment of participants. Questions that investigators have asked are “who volunteers for studies?” and “does recruitment method influence characteristics of the samples?” The purpose of this paper was to compare sample characteristics of two unrelated pregnancy cohort studies taking place in the same city, in the same time period, that employed different recruitment strategies, as well as to compare the characteristics of both cohorts to provincial and national statistics derived from the Maternity Experiences Survey (MES). METHODS: One pregnancy cohort used community-based recruitment (e.g. posters, pamphlets, interviews with community media and face-to-face recruitment in maternity clinics); the second pregnancy cohort used both community-based and population-based (a centralized system identifying pregnant women undergoing routine laboratory testing) strategies. RESULTS: The pregnancy cohorts differed in education, income, ethnicity, and foreign-born status (p < 0.01), but were similar for maternal age, BMI, and marital status. Compared to the MES, the lowest age, education, and income groups were under-represented, and the cohorts were more likely to be primiparous. CONCLUSIONS: The findings suggest that non-stratified strategies for recruitment of participants will not necessarily result in samples that reflect the general population, but can reflect the target population of interest. Attracting and retaining young, low resource women into urban studies about pregnancy may require alternate and innovative approaches.
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spelling pubmed-40291812014-05-22 Comparison of sample characteristics in two pregnancy cohorts: community-based versus population-based recruitment methods Leung, Brenda MY McDonald, Sheila W Kaplan, Bonnie J Giesbrecht, Gerald F Tough, Suzanne C BMC Med Res Methodol Research Article BACKGROUND: One of the biggest challenges for population health studies is the recruitment of participants. Questions that investigators have asked are “who volunteers for studies?” and “does recruitment method influence characteristics of the samples?” The purpose of this paper was to compare sample characteristics of two unrelated pregnancy cohort studies taking place in the same city, in the same time period, that employed different recruitment strategies, as well as to compare the characteristics of both cohorts to provincial and national statistics derived from the Maternity Experiences Survey (MES). METHODS: One pregnancy cohort used community-based recruitment (e.g. posters, pamphlets, interviews with community media and face-to-face recruitment in maternity clinics); the second pregnancy cohort used both community-based and population-based (a centralized system identifying pregnant women undergoing routine laboratory testing) strategies. RESULTS: The pregnancy cohorts differed in education, income, ethnicity, and foreign-born status (p < 0.01), but were similar for maternal age, BMI, and marital status. Compared to the MES, the lowest age, education, and income groups were under-represented, and the cohorts were more likely to be primiparous. CONCLUSIONS: The findings suggest that non-stratified strategies for recruitment of participants will not necessarily result in samples that reflect the general population, but can reflect the target population of interest. Attracting and retaining young, low resource women into urban studies about pregnancy may require alternate and innovative approaches. BioMed Central 2013-12-06 /pmc/articles/PMC4029181/ /pubmed/24314150 http://dx.doi.org/10.1186/1471-2288-13-149 Text en Copyright © 2013 Leung 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
Leung, Brenda MY
McDonald, Sheila W
Kaplan, Bonnie J
Giesbrecht, Gerald F
Tough, Suzanne C
Comparison of sample characteristics in two pregnancy cohorts: community-based versus population-based recruitment methods
title Comparison of sample characteristics in two pregnancy cohorts: community-based versus population-based recruitment methods
title_full Comparison of sample characteristics in two pregnancy cohorts: community-based versus population-based recruitment methods
title_fullStr Comparison of sample characteristics in two pregnancy cohorts: community-based versus population-based recruitment methods
title_full_unstemmed Comparison of sample characteristics in two pregnancy cohorts: community-based versus population-based recruitment methods
title_short Comparison of sample characteristics in two pregnancy cohorts: community-based versus population-based recruitment methods
title_sort comparison of sample characteristics in two pregnancy cohorts: community-based versus population-based recruitment methods
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4029181/
https://www.ncbi.nlm.nih.gov/pubmed/24314150
http://dx.doi.org/10.1186/1471-2288-13-149
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