Title: Addressing Racial Disparities in Maternal and Child Health
1Addressing Racial Disparities in Maternal and
Child Health
- JudyAnn Bigby
- Barbara Ferrer
- Dianna Christmas
2Session Objectives
- Describe racial and ethnic disparities in
maternal and child health indicators in Boston - Discuss factors that may contribute to health
disparities - Discuss challenges in identifying and using race
and ethnicity data for maternal child health
assessment - Describe one project in Boston to address
disparities in infant mortality and low birth
weight births
3Health Disparities in Boston
4Infant Mortality in Boston by Race and Ethnicity
Data source Mass Dept of Public Health Data
analysis Boston Public Health Commission
5Boston Fetal and Infant Mortality 1992-96 (Data
and analysis Boston Public Health Commission)
Maternal Health 6.2
Maternal Care 3.2
Newborn Care 1.0
Infant Care 1.8
6Excess Fetal and Infant Mortality Rate1992-96
Data and analysis Boston Public Health Commission
7LBW in Boston,1991-1999
DATA SOURCE Boston resident live births,
Massachusetts Department of Public Health DATA
ANALYSIS Boston Public Health Commission,
Research and Technology Services
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10What accounts for racial and ethnic disparities?
11What accounts for racial disparities?
- Biology
- Social factors
- Racism
- Personal beliefs
- Provider behavior
- Institutional polices and procedures
12Definitions of Race
- A vague, unscientific term referring to a group
of genetically related individuals who share
certain physical characteristics - Biologic distinctiveness does not determine race
- Race is a social construct
- Racial designations are most often important in
societies with a history of oppressing some
racial/ethnic groups - Race has no meaning to many groups
13Definition of Ethnicity
A subgroup that shares a common ancestry,
history, or culture
- Geographic origins
- Family patterns
- Language
- Values
- Cultural norms
- Religion
- Literature
- Music
- Dietary patterns
- Gender roles
- Employment patterns
14Biology Genetics not the answer
- Increasing evidence that the gene pool is the
same across racial and ethnic groups - Paradoxical observations of apparent biologic
difference - Response to antihypertensives by race
- Antidepressants
- Metabolism of nicotine, alcohol
15Social Factors
- Poverty
- Blacks, Latinos, American Indians and some Asians
are 3 times more likely to be poor than are
whites - Education
- Immigration status
- Employment
- Housing
- Geographic location
16Racisms impact on health status
- Social outcomes
- Racial bias in medical care
- Stress of experience of discrimination (micro
aggressions, MEES) - e.g. hypertension, prematurity, depression
- Acceptance of social stigmata of inferiority
(internalized racism)
17Personal Beliefs
- Reject certain treatment or preventive
interventions - Health seeking behavior
- Interpersonal interactions with physicians
- Withholding information
- Belief about control of health status
- Use of non-traditional or non-Western medicine
18Provider Behavior
- Provider perceptions of symptoms and presenting
complaints - Provider perception of worthiness of patient
- Provider misunderstanding of racial and ethnic
differences
19Institutional Policies and Procedures
- Policies dictating insurance coverage
- Implications for formularies, assessment of
compliance, public health education - Hours of operation, location of services
- Provider profiles
- Resources to support care of non-majority
populations - Content of medical education
20Contributions to Health Outcomes
gender
RACISM
BIOLOGY/GENETICS
sexuality
ethnicity
ENVIRONMENT
HEALTH OUTCOMES
R A C E
CULTURE
POLICIES
SOCIAL RESOURCES
SOCIOECONOMICS
HEALTH CARE RESOURCES
PERSONAL PRACTICE
E.G. INSURANCE PHYSICIANS HOSPITAL
SYSTEMS RELATIONSHIPS W/PROVIDERS QUALITY OF CARE
21Factors Influencing Health Status
22Challenges in Identifying and Using Race and
Ethnicity Data for Maternal and Child Health
Assessment
23Public Health Perspective
- Within public health, the classification of
groups of people into racial groups is meaningful
only if this classification leads to a better
understanding of the factors that have led to
disparity in disease treatment and health outcome - Identification and monitoring of racial and
ethnic disparities in maternal and child health
outcomes requires the ability to measure race and
ethnicity - Design of effective, targeted interventions and
strategies to address poor birth outcomes varies
by race and ethnicity
24Underlying Assumptions
- Race and ethnicity categories and specific racial
and ethnic group designations are consistently
defined and determined - The categories and designations are understood by
the populations questioned - Survey enumeration, participation, and response
rates are high and similar for all populations - The responses of persons are consistent in
different data sources and at different times
25Challenges
- 1. Differences in terminology used to categorize
race and ethnicity - Confusion regarding definitions of race,
ethnicity and ancestry - Definition of Hispanic is often unclear and
inconsistent across and within data sources (race
vs. ethnicity) - Use of other category, without defining this
population group
26Challenges
- 2. Differences in data collection procedures
- Racial data based on self identification by
respondents vs. perceptions of observers - Missing or incomplete reporting of race/ethnicity
27Challenges
- 3. Differences in perceptions of group identity
- Numerous studies show that race/ethnicity
identification is fluid and self-perceptions
change over time and across circumstances,
especially among individuals with heterogeneous
ancestries - Increased population of multi-racial and
multi-ethnic persons
28Challenges
- 4. Changing demographics
- Difficulty capturing the increasingly more
racially and ethnically diverse US population - Exclusion of racial/ethnic subgroups precludes
understanding the distribution of disease in
certain populations
29Challenges
- 5. Incomplete collection of measures of social
and economic conditions that may confound an
association between race/ethnicity and health
outcomes - Health data often doesnt contain information on
SES status (income, education)
30Selected Data Sources
31Census Data
- 1. Most rates for birth, death and morbidity are
calculated with census population estimates as
the denominator misreporting occurred in 1990
Census with undercounting of Blacks, American
Indians and Alaskan Natives, Asian and Pacific
Islanders, and Hispanics at higher rates than
Whites - Any rate that uses an undercounted denominator is
overestimated in proportion to the undercount in
the denominator unfortunately, estimates of
undercount are generally only available at the
national level
32Birth Certificate Data
- 1. Changing reporting standards create
difficulties for data analysis - Prior to 1989, the race/ethnicity of infant was
assigned by complex formula based on
race/ethnicity of mother and father - Beginning in 1989, the self-reported
race/ethnicity of infants mother was adopted as
race/ethnicity of infant - Changes in ethnicity categories were made
starting in 1996 with sub-population ethnic
categories varying year to year all variations
on other therefore also differ from year to
year
33Death Certificate Data
- 1. Only race of descendents is collected data is
not collected on race of parents - 2. Racial status is typically based on observer
identification may lead to undercount problem in
the numerator of mortality for some minority
populations - 3. Death rates by race and Hispanic ethnicity may
be biased from misreporting of race and Hispanic
origin in the numerator of rates and misreporting
and underrepresented in the denominator of rates - 4. Very little racial/ethnic subgroup data is
available for adult mortality, masking important
patterns of variation (identifier for Hispanic
ethnicity was added in 1989)
34Patient Record Data
- 1. Variability in coding method for
race/ethnicity(observation/proxy report/patient) - 2. Hospital Discharge Data
- Race not reported in 18 of NHDS records
Hispanic origin not reported for 85 of NHDS
records - Form UP-92, which is used by many hospitals with
automated systems, doesnt require the reporting
of race
35Patient Record Data
- 3. Surveillance System Data
- Race/ethnicity information varies by disease and
state for the 36 noticeable diseases reported to
the NNDSS, with as many as 35 of reports for
measles, salmonellosis, and shigellosis not
including race/ethnicity information - 4. Immunization Registry Data
- Race/ethnicity may or may not be collected as
part of demographic profile - Boston Immunization Information System does not
include race/ethnicity in its core required data
elements and site participants do not voluntarily
provide that information
36Recommendation for Federal Action
- 1. Racial/Ethnic categories should be clearly
defined, standardized and operationalized across
all federal agencies so that researchers and
respondents know what the categories mean and the
information is compatible from source to source
37Recommendation for Federal Action
- Undertake validation of categories of race based
perhaps on anthropological, archeological,
linguistic, migration and self-perception
evidence - Undertake validation of categories of ethnicity
based perhaps on concepts of social identity and
changes in social identity, assessment of
membership identification and group boundaries - Include identifiers for subgroups on all
government surveys and forms - Racial/ethnic data should be routinely utilized
in the design, implementation and evaluation of
health studies and health programs
38Recommendation for Federal Action
- 2. Routinely monitor and update current measures
of race and ethnicity - Flexibility of the system may require compromises
in the consistency of categories - 3. Build and sustain communication mechanisms
with racial/ethnic communities to ensure that
they assist in defining racial/ethnic categories,
receive findings from current studies, and
participate in designing future research and
interventions
39Local Response
- 1. Establish and articulate clearly the reason
why measures of race ethnicity are used - 2. Assess the reliability, validity,
generalizability and applicability of each data
set - Determine presence of ethnicity and national
origin fields, who obtains this information, when
and how, and assess its completeness and probable
reliability
40Local Response
- Determine size of samples in each data set and
the probable representativeness of the sample - Determine usefulness of each data set for
research and planning purposes and the specific
kinds of questions it may answer - Note any limitations of racial/ethnic data
41Local Response
- 3. Support, advocate and work for improvements in
existing data systems and collection of
additional needed data - Assess the way in which different segments of the
population identify themselves by
race/ethnicity - Identify gaps and inconsistencies in available
data and set priorities for correcting them - Work collaboratively to promote awareness of the
importance of distinguishing among national
origin groups, reliable methods of determining
national origin and ethnic identity in data
systems, and improvements in sampling and
interviewing methods
42Local Response
- 4. Attempt to design studies that identify the
specific factors linked to race that affect
health (acculturation, economic, and non-economic
aspects of discrimination) - Design a construct which can measure and/or
reflect racism--capturing the experience of
racial discrimination at both the individual and
institutional level - 5. Involve racial/ethnic communities in the
design, implementation and evaluation of all
efforts to assess and address racial/ethnic
disparities in health outcomes -
43Current Projects to Reduce Racial Disparities in
Health Outcomes
- Womens Health Demonstration Project
- REACH 2010 Eliminating Racial Disparities in
Breast and Cervical Cancer Among Women of African
Descent - Latino Health Needs Assessment
44Bostons Womens Health Demonstration Project
- A Collaboration of the
- Health of Women and Infants
- Working Group
- Boston Public Health Commission
45Health of Women and Infants Working Group (HWIWG)
- Convened in June of 1998 to guide the Boston
Public Health Commissions efforts at improving
birth outcomes. - HWIWG represents state and city agencies, the
Boston Healthy Start Initiative, community health
centers, public health schools, and hospitals and
includes providers of all types, policy makers,
researchers, and women from the community.
46Boston Womens Health Demonstration Project -
Rationale
- Continuing disparities in infant mortality rates,
low birth weight, and adequacy of prenatal care - Infant deaths attributable to poor health of
women prior to conception - Womens reports of fragmentation of services and
dissatisfaction with care
47Boston Infant Mortality Review
1990-93(McCloskey L, et.al. Public Health
Reports 1999114165)
- Women experiencing an infant death were more
likely than other women to - Be homeless or near homeless (30 vs 11)
- Be abused by partner (25 vs 6)
- Have an unintended pregnancy (63 vs 41)
- Have used alcohol (23 vs 8)
48Boston Infant Mortality Review 1990-93
(McCloskey L, et.al. Public Health Reports
1999114165)
- Themes from review panel findings
- Women experience fragmentation and discontinuity
of care (73) - Severe social risk is unrecognized and/or
unmatched by needed services in the health care
setting (50) - Recurring UTIs, genital infections, and STIs
(44) - Repeat unintended pregnancies closely spaced
pregnancies (40) - Low satisfaction with interpersonal aspects of
care (38)
49Recommendations from IMR
- Comprehensive care for women regardless of
pregnancy status. - Multi-disciplinary team of providers to address
needs of women from low-income communities in
context of primary clinical care. - Improved interpersonal patient/provider
relationships. - Integration between clinical and social services
in primary care setting. - Systematic approach to reducing barriers to care
for women. - Source McCloskey L, Bigby J, Brand A. for the
Working Group on Case Management, Outreach, and
Community Partnerships, Beyond Prenatal Care
Improving Birth Outcomes in Low-Income
Communities Through Enhancements to Clinical
Services for Women, 1997.
50Boston Womens Health Demonstration Project -
Goals
- Reduce fragmentation and discontinuity in care
- Systematic identification of medical and social
risks - Comprehensive response to medical and social
problems - Improve patient satisfaction with care and with
providers
51Boston Womens Health Demonstration Project
- Components of project
- Standardized risk assessment tool
- Focus groups with clients from health centers and
Boston Healthy Start Initiative - Review of assessment tool by HWIWG members
- Assessment results shared with women and
providers - Case management
52Boston Womens Health Demonstration Project
- Each site will identify 50 women aged 18-45 to
participate in the pilot study - Each site receives a case manager and necessary
computer equipment - Each site identifies target populations
- e.g. women with walk-in or ED visits, repeat
pregnancy tests, women no longer coming in for
care
53Boston Womens Health Demonstration Project
- Reduce fragmentation and discontinuity in care
- outreach to women who are not receiving regular
care - develop interdisciplinary teams with clear roles
and strategies for communication - share processes of care and outcomes
54Boston Womens Health Demonstration Project
- Systematic identification of medical and social
risk - 9 page Womens Health Questionnaire -
- Basic information
- Physical health (preventive habits pap smear and
mammography use immunization FH heart disease,
cancer, or SA medical problems and sxs,
reproductive health, meds, health insurance) - Social and emotional health (housing concerns,
social support, mental health, work hx, home
safety, domestic violence, and sources of stress)
55Boston Womens Health Demonstration Project
- Comprehensive response to medical and social
problems - WHQ results generate report to women and
providers - provider training
- recommendations to providers about clinical
strategies - on line resource directory to assist case
managers - track success of interventions, connection to
community resources
56Boston Womens Health Demonstration Project
- Improve patient satisfaction with care and with
providers - meeting the identified needs of women
- provider training
- case managers as bridges between women and
providers
57Boston Womens Health Demonstration Project
Provider visits
Women receive results
Providers, case managers, women devise strategies
to address problems
Women complete WHQ
Results scanned, report generated
Providers receive results
Case manager interactions
58Boston Womens Health Demonstration Project
Evaluation
- Satisfaction surveys
- assess womens experience with questionnaire
- provider satisfaction with questionnaire and
assessment of impact on process - Case manager logs
- Chart reviews of women in project and comparison
group
59Boston Womens Health Demonstration Project
Evaluation
- Women asked to complete satisfaction survey
following their provider appointment. - How do women find the process of completing the
questionnaire with the case manager? - How do women perceive the questionnaires effect
on their clinical encounters?
60Boston Womens Health Demonstration Project
Evaluation
- Provider questionnaire at 1 and 6 months
- Does process expand knowledge of patients lives,
or change the kind of care that is delivered? - How has questionnaire impacted encounters?
- How has patient flow been affected by the
process? - Monthly follow-up
- What do you like/not like about the
questionnaire? - Describe the communication and collaboration
among primary care team members
61Boston Womens Health Demonstration Project
Evaluation
- Documentation in medical record and case manager
log includes problem, type of service needed,
referrals made, and referral outcome. - Questions to answer
- Are project participants more likely than others
to use primary and preventive health services? - Measures include annual exam, number of no
show visits, use of prenatal care if pregnant,
and identification of a regular provider. - To what extent are referrals completed among
project participants?
62Boston Womens Health Demonstration Project
- Desired outcomes
- Women engaged in care
- Identify medical and social risks and high
quality standard of care in response - Improved provider/patient interactions
- Improved linkage of community resources to
clinical settings - Increased patient satisfaction and knowledge of
own health