In honor of National Minority Health Month, ICH is exploring the complexities of race
and ethnicity data collection. Any program, organization, or institution
seeking to identify and address racial and ethnic health disparities must
collect race/ethnicity data on the individuals they serve. However, in practice
this proves challenging, as individuals often do not identify with the racial
and ethnic categories provided.
ICH partners
with the Cambridge Health Alliance (CHA) Zero Disparities Committee to ensure that race and
ethnicity patient data are both accurate and meaningful for patients and the
hospital. We assist CHA with patient demographic data collection and analysis,
which helps CHA address disparities in service utilization and ensure that all
patients receive linguistically and culturally appropriate care. We collect
race data by asking patients to choose one or more of the categories defined by
the federal Office of Management and Budget
(OMB):
· American
Indian or Alaska Native
·
Asian
·
Black or
African American
·
Native
Hawaiian or Other Pacific Islander
·
White
·
Other
These OMB
categories are required for state and national reporting and allow us to easily
compare the race distribution of our patient population with other healthcare
systems’ or communities’. However, CHA’s patient population is extraordinarily
diverse, and the concept of race varies widely across cultures. Many of our
patients simply do not relate to the OMB race definitions and categorizations.
For example, Latino patients and Middle Eastern patients often express
confusion when asked to select a race, as many do not see themselves fitting
any of the given categories. And while it may seem clear that patients from
India should fall under the Asian category, some Indians disagree - to them, Asian
indicates East Asian and is distinct from South Asian. Overall, more than 25%
of CHA’s patients do not identify with any of the OMB categories and choose
“Other” as their race, which calls into question the usefulness of the OMB
categories in our increasingly diverse community.
Because of
these issues, we also collect detailed ethnicity data to better characterize our
patients’ cultural backgrounds. Patients are asked to self-identify their
ethnicity (or ethnicities) from a list of more than 150 options (e.g., Algerian,
Bangladeshi, Egyptian, Greek, Nepalese, Syrian, etc.). We strive to make these
ethnicity options specific enough that patients can select one or more with
which they truly identify. Overall, we find that ethnicity data can be far more
useful than race data for ensuring we provide culturally appropriate care to
everyone we serve.
ICH also works as the evaluator of the Youth First Initiative
in Holyoke and Springfield, MA. Youth First is a community-wide teen pregnancy
prevention initiative, which was developed with grant funding
from the Centers for Disease Control and Prevention.
The Initiative is a collaboration between the Massachusetts Alliance on Teen Pregnancy (MATP),
the YEAH! Network, and many stakeholders within
the two communities, including schools, community organizations, and health clinics.
Youth First began in 2010 and its goal is to reduce teen births by 10% by 2015
in Holyoke and Springfield, MA. While the overall teen birth rates in
these communities are significantly higher than the state’s, there are also large
racial/ethnic disparities within the communities.
 |
Source:
Births (Vital Records). Massachusetts Community Health Information Profile
(MassCHIP). Version 3.0r328. Massachusetts Department of Public Health. Data
downloaded May 6, 2013
|
Thus, collecting meaningful race/ethnicity data is critical to both improving and documenting improvement in teen pregnancy prevention efforts.
One of the key components of the Youth First initiative is implementing evidence-based sexual health education programs for adolescents. As a part of reporting requirements for funders, we collect race/ethnicity data from program participants via surveys. Collecting this data allows us to understand the populations we are reaching. In addition to the OMB race categories, the CDC requires data for the following ethnicity categories:
· Hispanic or Latino
· Not Hispanic or Latino
Cultural practices, beliefs, values and behaviors, all of which can reflect a person’s identity, can have an impact on a community’s health. Collecting data that taps these identities, if done meaningfully, can serve as an indicator to better understand, explain and ultimately address health inequities. With large Spanish-speaking communities in Springfield and Holyoke, it is critical to use measures that capture their unique and specific identities. Using the race/ethnicity categories often required by funding organizations can prohibit a comprehensive understanding of how communities might view themselves. For example, a Dominican or Puerto Rican teen might not identify with any of the OMB racial categories. Additionally, using the ethnicity category “Hispanic or Latino” can mask differences within Spanish-speaking communities. A teen that grew up in rural Mexico might have very different experiences, behaviors and values than a Puerto Rican teen that grew up in Holyoke. In this project, in order to ensure identity is accurately captured, we added an additional question that includes a much more comprehensive list of 29 different ethnicity categories (for example: Puerto Rican, Caribbean Islander, Dominican, Korean), thus expanding our understanding of identity among youth enrolled in evidence-based programs.
Capturing race and ethnicity data is essential not just
for program improvement purposes, but also for ensuring that public health
interventions are actively addressing health inequities. In developing
alternative ways of measuring this data, it is critical to engage the community
during the instrument development phase. It’s often necessary to go beyond the
basic race/ethnicity reporting requirements, and delve deeper into communities’
understanding of race, ethnicity, and identity, in order for the data to be
meaningful and actionable.
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The views expressed on the Institute for Community Health blog page are solely those of the blog post author(s), and do not necessarily reflect the views of ICH, the author’s employer or other organizations with which the author is associated.
