Validation of a Pictorial Racial Composition Measure
Principal Investigator(s): View help for Principal Investigator(s) Melody Goodman, New York University; Kimberly Kaphingst, University of Utah
Version: View help for Version V1
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Project Citation:
Goodman, Melody, and Kaphingst, Kimberly. Validation of a Pictorial Racial Composition Measure. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2023-09-22. https://doi.org/10.3886/E193990V1
Project Description
Summary:
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Participants in this study were recruited between July 2013 and
April 2014. Patients in the waiting rooms of the primary care clinic at the Center
for Outpatient Health (COH) were approached by trained data collectors and
asked to complete a survey in English. Participants
were asked to complete a self-administered written questionnaire and a verbally
administered survey component. The
latter component assessed health literacy and was administered by a trained
data collector who recorded responses. All participants completed a verbal
consent process and signed a written consent form before completing the survey.
As part of the consent process, participants could opt-in to have information
abstracted from their medical records and merged with survey data. The Human Research Protection Office at Washington University School of Medicine approved this study.
Data collection
Participants in this study were recruited between July 2013 and April 2014. Patients in the waiting rooms of the COH were approached by trained data collectors and asked to complete a survey in English. Surveys were administered on different days of the week and at different times of day; data collectors approached all patients in the waiting room during their shifts. Inclusion criteria were that patients be at least 18 years old, a patient at the COH, and speak English. Participants were asked to complete a self-administered written questionnaire and a verbally administered survey component. The latter component assessed health literacy and was administered by a trained data collector who recorded responses. All participants completed a verbal consent process and signed a written consent form before completing the survey. As part of the consent process, participants could opt-in to have information abstracted from their medical records and merged with survey data. The Human Research Protection Office at Washington University School of Medicine approved this study.
Approximately 26% (n=1,111) of those approached were ineligible to participate because they were not patients or had previously taken the survey. Among eligible participants, 44% (n=1380) agreed to participate in the study and were consented by trained data collectors. Of the 1380 consented patients, 1010 (73%) completed the written survey. Among those with complete written surveys, 602 (60%) completed the verbally administered component, and 781 (77%) opted in to have data pulled from their electronic medical record. The majority of patients are female (67%), between 35-64 years of age (59%), and live in St. Louis City (46%) or St. Louis County (31%).
We propose and validate (against the gold standard written measure) a novel racial segregation measure, the Pictorial Racial Composition Measure (PRCM), which is a 10-item questionnaire of pictures representing social environments across adolescence and adulthood: neighborhoods and blocks (adolescent and current), schools and classrooms (junior high and high school), workplace, and place of worship.
This data deposit contains the analytic sample for this analysis and does not contain the full sample that was collected. For more information about the full data (including how to request other data from the study), visit https://wp.nyu.edu/collegeofglobalpublichealth-goodman_mle_lab/survey-of-center-for-outpatient-healt...
Data collection
Participants in this study were recruited between July 2013 and April 2014. Patients in the waiting rooms of the COH were approached by trained data collectors and asked to complete a survey in English. Surveys were administered on different days of the week and at different times of day; data collectors approached all patients in the waiting room during their shifts. Inclusion criteria were that patients be at least 18 years old, a patient at the COH, and speak English. Participants were asked to complete a self-administered written questionnaire and a verbally administered survey component. The latter component assessed health literacy and was administered by a trained data collector who recorded responses. All participants completed a verbal consent process and signed a written consent form before completing the survey. As part of the consent process, participants could opt-in to have information abstracted from their medical records and merged with survey data. The Human Research Protection Office at Washington University School of Medicine approved this study.
Approximately 26% (n=1,111) of those approached were ineligible to participate because they were not patients or had previously taken the survey. Among eligible participants, 44% (n=1380) agreed to participate in the study and were consented by trained data collectors. Of the 1380 consented patients, 1010 (73%) completed the written survey. Among those with complete written surveys, 602 (60%) completed the verbally administered component, and 781 (77%) opted in to have data pulled from their electronic medical record. The majority of patients are female (67%), between 35-64 years of age (59%), and live in St. Louis City (46%) or St. Louis County (31%).
We propose and validate (against the gold standard written measure) a novel racial segregation measure, the Pictorial Racial Composition Measure (PRCM), which is a 10-item questionnaire of pictures representing social environments across adolescence and adulthood: neighborhoods and blocks (adolescent and current), schools and classrooms (junior high and high school), workplace, and place of worship.
This data deposit contains the analytic sample for this analysis and does not contain the full sample that was collected. For more information about the full data (including how to request other data from the study), visit https://wp.nyu.edu/collegeofglobalpublichealth-goodman_mle_lab/survey-of-center-for-outpatient-healt...
Scope of Project
Subject Terms:
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racial composition;
validation;
pictorial measure
Geographic Coverage:
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St. Louis, MO
Time Period(s):
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7/2013 – 4/2014
Collection Date(s):
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7/2013 – 4/2014
Data Type(s):
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survey data
Methodology
Response Rate:
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Among eligible participants, 44% (n=1380) agreed
to participate in the study and were consented by trained data collectors
Sampling:
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Convenience sample
Data Source:
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This
study was conducted in the primary care clinic of a large urban hospital. In one year the Primary Care Clinic in the Center
for Outpatient Health (COH) at Barnes Jewish Hospital saw 16,907 unique
patients; 64% African American, 30% white and 6% other.
Collection Mode(s):
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mixed mode;
paper and pencil interview (PAPI);
self-enumerated questionnaire
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