Screening for Pregnancy Status in a Population-Based Sample: Characteristics Associated with Item Nonresponse
Objectives Population-based recruitment of a cohort of women who are currently pregnant or who may become pregnant in a given timeframe presents challenges unique to identifying pregnancy status or the likelihood of future pregnancy. Little is known about the performance of individual eligibility it...
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Published in | Maternal and child health journal Vol. 23; no. 3; pp. 316 - 324 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
New York
Springer US
01.03.2019
Springer Springer Nature B.V |
Subjects | |
Online Access | Get full text |
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Abstract | Objectives
Population-based recruitment of a cohort of women who are currently pregnant or who may become pregnant in a given timeframe presents challenges unique to identifying pregnancy status or the likelihood of future pregnancy. Little is known about the performance of individual eligibility items on pregnancy screeners although they are critical to participant recruitment. This paper examined the patterns and respondent characteristics of key pregnancy screener items used in a large national study.
Methods
Cross-sectional analyses were conducted. Descriptive statistics and multivariable logistic regression models were used to examine nonresponse patterns to three questions (currently pregnant, trying to get pregnant and able to get pregnant). The questions were asked of 50,529 women in 17 locations across the US, as part of eligibility screening for the National Children’s Study Vanguard Study household-based recruitment.
Results
Most respondents were willing to provide information about current pregnancy, trying, and able to get pregnant: 99.3% of respondents answered all three questions and 97.4% provided meaningful answers. Nonresponse ranged from 0.3 to 2.5% for individual items. Multivariable logistic regression results identified small but statistically significant differences in nonresponse by respondent age, marital status, race/ethnicity-language, and household-based recruitment group.
Conclusions for Practice
The high levels of response to pregnancy-related items are impressive considering that the eligibility questions were fairly sensitive, were administered at households, and were not part of a respondent-initiated encounter. |
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AbstractList | Objectives Population-based recruitment of a cohort of women who are currently pregnant or who may become pregnant in a given timeframe presents challenges unique to identifying pregnancy status or the likelihood of future pregnancy. Little is known about the performance of individual eligibility items on pregnancy screeners although they are critical to participant recruitment. This paper examined the patterns and respondent characteristics of key pregnancy screener items used in a large national study. Methods Cross-sectional analyses were conducted. Descriptive statistics and multivariable logistic regression models were used to examine nonresponse patterns to three questions (currently pregnant, trying to get pregnant and able to get pregnant). The questions were asked of 50,529 women in 17 locations across the US, as part of eligibility screening for the National Children's Study Vanguard Study household-based recruitment. Results Most respondents were willing to provide information about current pregnancy, trying, and able to get pregnant: 99.3% of respondents answered all three questions and 97.4% provided meaningful answers. Nonresponse ranged from 0.3 to 2.5% for individual items. Multivariable logistic regression results identified small but statistically significant differences in nonresponse by respondent age, marital status, race/ethnicity-language, and household-based recruitment group. Conclusions for Practice The high levels of response to pregnancy-related items are impressive considering that the eligibility questions were fairly sensitive, were administered at households, and were not part of a respondent-initiated encounter. Objectives Population-based recruitment of a cohort of women who are currently pregnant or who may become pregnant in a given timeframe presents challenges unique to identifying pregnancy status or the likelihood of future pregnancy. Little is known about the performance of individual eligibility items on pregnancy screeners although they are critical to participant recruitment. This paper examined the patterns and respondent characteristics of key pregnancy screener items used in a large national study. Methods Cross-sectional analyses were conducted. Descriptive statistics and multivariable logistic regression models were used to examine nonresponse patterns to three questions (currently pregnant, trying to get pregnant and able to get pregnant). The questions were asked of 50,529 women in 17 locations across the US, as part of eligibility screening for the National Children’s Study Vanguard Study household-based recruitment. Results Most respondents were willing to provide information about current pregnancy, trying, and able to get pregnant: 99.3% of respondents answered all three questions and 97.4% provided meaningful answers. Nonresponse ranged from 0.3 to 2.5% for individual items. Multivariable logistic regression results identified small but statistically significant differences in nonresponse by respondent age, marital status, race/ethnicity-language, and household-based recruitment group. Conclusions for Practice The high levels of response to pregnancy-related items are impressive considering that the eligibility questions were fairly sensitive, were administered at households, and were not part of a respondent-initiated encounter. Cross-sectional analyses were conducted. Descriptive statistics and multivariable logistic regression models were used to examine nonresponse patterns to three questions (currently pregnant, trying to get pregnant and able to get pregnant). The questions were asked of 50,529 women in 17 locations across the US, as part of eligibility screening for the National Children's Study Vanguard Study household-based recruitment. Most respondents were willing to provide information about current pregnancy, trying, and able to get pregnant: 99.3% of respondents answered all three questions and 97.4% provided meaningful answers. Nonresponse ranged from 0.3 to 2.5% for individual items. Multivariable logistic regression results identified small but statistically significant differences in nonresponse by respondent age, marital status, race/ethnicity-language, and household-based recruitment group. The high levels of response to pregnancy-related items are impressive considering that the eligibility questions were fairly sensitive, were administered at households, and were not part of a respondent-initiated encounter. ObjectivesPopulation-based recruitment of a cohort of women who are currently pregnant or who may become pregnant in a given timeframe presents challenges unique to identifying pregnancy status or the likelihood of future pregnancy. Little is known about the performance of individual eligibility items on pregnancy screeners although they are critical to participant recruitment. This paper examined the patterns and respondent characteristics of key pregnancy screener items used in a large national study.MethodsCross-sectional analyses were conducted. Descriptive statistics and multivariable logistic regression models were used to examine nonresponse patterns to three questions (currently pregnant, trying to get pregnant and able to get pregnant). The questions were asked of 50,529 women in 17 locations across the US, as part of eligibility screening for the National Children’s Study Vanguard Study household-based recruitment.ResultsMost respondents were willing to provide information about current pregnancy, trying, and able to get pregnant: 99.3% of respondents answered all three questions and 97.4% provided meaningful answers. Nonresponse ranged from 0.3 to 2.5% for individual items. Multivariable logistic regression results identified small but statistically significant differences in nonresponse by respondent age, marital status, race/ethnicity-language, and household-based recruitment group.Conclusions for PracticeThe high levels of response to pregnancy-related items are impressive considering that the eligibility questions were fairly sensitive, were administered at households, and were not part of a respondent-initiated encounter. Population-based recruitment of a cohort of women who are currently pregnant or who may become pregnant in a given timeframe presents challenges unique to identifying pregnancy status or the likelihood of future pregnancy. Little is known about the performance of individual eligibility items on pregnancy screeners although they are critical to participant recruitment. This paper examined the patterns and respondent characteristics of key pregnancy screener items used in a large national study. Cross-sectional analyses were conducted. Descriptive statistics and multivariable logistic regression models were used to examine nonresponse patterns to three questions (currently pregnant, trying to get pregnant and able to get pregnant). The questions were asked of 50,529 women in 17 locations across the US, as part of eligibility screening for the National Children's Study Vanguard Study household-based recruitment. Most respondents were willing to provide information about current pregnancy, trying, and able to get pregnant: 99.3% of respondents answered all three questions and 97.4% provided meaningful answers. Nonresponse ranged from 0.3 to 2.5% for individual items. Multivariable logistic regression results identified small but statistically significant differences in nonresponse by respondent age, marital status, race/ethnicity-language, and household-based recruitment group. The high levels of response to pregnancy-related items are impressive considering that the eligibility questions were fairly sensitive, were administered at households, and were not part of a respondent-initiated encounter. |
Audience | Academic |
Author | Hughes, Suzanne C. Graber, Jessica E. Clark, Melissa A. Eaker, Elaine D. Hogue, Carol J. Herring, Amy H. |
AuthorAffiliation | 3 School of Public Health, Brown University, Providence, RI 02912, USA 2 Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA 8 Present Address: Eaker Epidemiology Enterprises, LLC, Walla Walla, WA 99362, USA 5 WESTAT , Rockville, MD 20850, USA 7 Present Address: United States Census Bureau, Washington, DC 20233, USA 1 Graduate School of Public Health, San Diego State University, 9245 Sky Park Court, Suite 102, San Diego, CA 92123, USA 9 Present Address: Department of Statistical Science, Duke University, Durham, NC 27705, USA 4 Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD 20847, USA 6 Department of Biostatistics, Gillings School of Global Public Health and Carolina Population Center, CB 7420, Chapel Hill, NC 27599, USA |
AuthorAffiliation_xml | – name: 4 Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD 20847, USA – name: 1 Graduate School of Public Health, San Diego State University, 9245 Sky Park Court, Suite 102, San Diego, CA 92123, USA – name: 3 School of Public Health, Brown University, Providence, RI 02912, USA – name: 7 Present Address: United States Census Bureau, Washington, DC 20233, USA – name: 9 Present Address: Department of Statistical Science, Duke University, Durham, NC 27705, USA – name: 6 Department of Biostatistics, Gillings School of Global Public Health and Carolina Population Center, CB 7420, Chapel Hill, NC 27599, USA – name: 2 Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA – name: 5 WESTAT , Rockville, MD 20850, USA – name: 8 Present Address: Eaker Epidemiology Enterprises, LLC, Walla Walla, WA 99362, USA |
Author_xml | – sequence: 1 givenname: Suzanne C. surname: Hughes fullname: Hughes, Suzanne C. email: shughes@cbeachsdsu.org organization: Graduate School of Public Health, San Diego State University – sequence: 2 givenname: Carol J. surname: Hogue fullname: Hogue, Carol J. organization: Rollins School of Public Health, Emory University – sequence: 3 givenname: Melissa A. surname: Clark fullname: Clark, Melissa A. organization: School of Public Health, Brown University – sequence: 4 givenname: Jessica E. surname: Graber fullname: Graber, Jessica E. organization: Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, United States Census Bureau – sequence: 5 givenname: Elaine D. surname: Eaker fullname: Eaker, Elaine D. organization: WESTAT, Eaker Epidemiology Enterprises, LLC – sequence: 6 givenname: Amy H. surname: Herring fullname: Herring, Amy H. organization: Department of Biostatistics, Gillings School of Global Public Health and Carolina Population Center, Department of Statistical Science, Duke University |
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Cites_doi | 10.1002/sim.3891 10.1111/j.1475-6773.2005.00476.x 10.1542/peds.2015-4410C 10.1111/j.1748-0361.2012.00418.x 10.1542/peds.2006-0360 10.4054/DemRes.2010.23.13 10.1093/aje/kwu062 10.1037/0033-2909.133.5.859 10.1002/msj.20227 10.1089/jwh.2011.3118 10.1001/archpediatrics.2008.521 10.1007/s10182-006-0231-3 10.1111/j.1365-2524.2004.00507.x 10.1371/journal.pone.0131521 10.1111/j.1365-3016.2003.00546.x 10.1016/j.ambp.2007.01.004 10.1542/peds.2010-2334 |
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Population-based recruitment of a cohort of women who are currently pregnant or who may become pregnant in a given timeframe presents challenges... Population-based recruitment of a cohort of women who are currently pregnant or who may become pregnant in a given timeframe presents challenges unique to... Objectives Population-based recruitment of a cohort of women who are currently pregnant or who may become pregnant in a given timeframe presents challenges... Cross-sectional analyses were conducted. Descriptive statistics and multivariable logistic regression models were used to examine nonresponse patterns to three... ObjectivesPopulation-based recruitment of a cohort of women who are currently pregnant or who may become pregnant in a given timeframe presents challenges... OBJECTIVESPopulation-based recruitment of a cohort of women who are currently pregnant or who may become pregnant in a given timeframe presents challenges... |
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SubjectTerms | Adolescent Adult Analysis Choice Behavior Cohort Studies Cross-Sectional Studies Epidemiology Female Gynecology Health aspects Health screening Households Humans Logistic Models Logistic regression Mass Screening - methods Mass Screening - standards Mass Screening - statistics & numerical data Maternal and Child Health Medical screening Medicine Medicine & Public Health Middle Aged Missing data Pediatrics Population Economics Population-based studies Pregnancy Pregnant women Public Health Research Subjects - psychology Research Subjects - statistics & numerical data Sociology Studies Surveys and Questionnaires - standards Surveys and Questionnaires - statistics & numerical data United States Womens health |
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Title | Screening for Pregnancy Status in a Population-Based Sample: Characteristics Associated with Item Nonresponse |
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