Changing
Racial and Ethnic Composition of the Population
- Population
Forecasts
- Implications
of the Changing Racial and Ethnic Composition
of the Population for the Supply of
Health Workers
- Implications
of the Changing Racial and Ethnic Composition
of the Population for the Supply of
Health Workers
- Physician
Supply
-
Nurse Supply
| Major
Findings: |
- Minorities
have different patterns of health
care use compared to non-minorities.
Disparities in access to care
account for part of the difference
in utilization.
- Demand
for health care services by minorities
is increasing as minorities grow
as a percentage of the population.
Between 2000 and 2020, the percentage
of total patient care hours physicians
spend with minority patients will
rise from approximately 31percent
to 40 percent.
- Minorities
are underrepresented in the physician
and nurse workforce relative to
their proportion of the total
population. As minorities constitute
a larger portion of the population
entering the workforce, their
representation in the physician
and nurse professions will increase.
The U.S. will increasingly rely
on minority caregivers.
-
Minority physicians have a greater
propensity than do non-minority
physicians to practice in urban
communities designated as physician
shortage areas. An increase in
minority representation in the
physician workforce could improve
access to care for the population
in some underserved areas.
|
Advocates
for increased minority representation
in the health workforce argue that increasing
the number of minority physicians will
improve access to care for minorities
and vulnerable, underserved populations.
These
advocates argue that increased representation
of minorities in the health workforce
not only will increase equity, but will
also improve the efficiency of the health
care delivery system.
This section explores the changing racial
and ethnic composition of the population
and its implications for the future demand
for and supply of health professionals.
The four main findings are the following.
First, Hispanics and non-whites have different
patterns of health care use compared to
non-Hispanic whites. Some of the disparities
in use can be attributed to differences
in access to care. The literature suggests
that cultural differences regarding appropriate
use of health care services also help
explain differences in health care use.
Second, as minorities increase as a percentage
of the U.S. population, the percentage
of total health care services provided
to minority patients will also increase.
In 2000, physicians spent an estimated
31 percent of patient-care hours providing
services to minorities. By 2020, physicians
will spend an estimated 40 percent of
patient-care hours with minority patients.
Third, minorities are underrepresented
in the physician and nurse workforces
relative to their proportion of the total
population, and are overrepresented in
lower-paying health professions such as
nurse aides and home health aides. As
minorities constitute a growing percentage
of the working-age population, their representation
in the professional health workforce will
naturally rise. The U.S. will increasingly
rely on minority caregivers.
Fourth,
the literature suggests that minority
physicians have a greater propensity than
do non-Hispanic white physicians to practice
in urban communities designated as physician
shortage areas. An increase in minority
representation in the physician workforce
could improve access to care for the population
in some underserved areas.
3.1
Population Forecasts
The
latest census figures highlight the fact
that the United States is becoming increasingly
racially and ethnically diverse. Furthermore,
higher birth rates among racial and ethnic
minority groups, relative to non-Hispanic
whites, and immigration suggest that this
trend will continue. Exhibit 3.1 contains
population forecasts used in the PARM
that show the current and projected distribution
of the population across the three race/ethnic
groups modeled in the PARM. Whereas non-Hispanic
whites constituted approximately 69 percent
of the population in 2000, they will constitute
an estimated 61 percent of the population
in 2020. Between 2000 and 2020, African
Americans (both Hispanic and non-Hispanic)
will increase from approximately 12.3
percent to 13.1 percent of the population;
all other minorities (including Hispanic
whites) will increase from approximately
19 percent to 26 percent of the population.
Growth in the Hispanic population is the
major contributor to growth in the minority
population.
Exhibit
3.1. Population Distribution by Race
Year |
Non-Hispanic
White |
African
American |
All
Other |
| 2000 |
69.1% |
12.3% |
18.6% |
| 2005 |
67.1% |
12.5% |
20.4% |
| 2010 |
64.8% |
12.7% |
22.5% |
| 2015 |
62.8% |
12.9% |
24.3% |
| 2020 |
60.8% |
13.1% |
26.1% |
Source: Modified version of Census Bureau
middle series projections.
Racial and ethnic minority populations
are unevenly distributed geographically.
The proportion of a State's population
that is minority varies substantially
by State, and minorities are disproportionately
located in inner cities.
3.2
Implications of the Changing Racial and
Ethnic Composition of the Population for
the Demand for Health Workers
The
extant literature explores the degree
to which and reasons why race and ethnicity
may affect health care use. Differences
between racial and ethnic groups in use
of a wide range of health care services
have been documented in the literature.
Much of these utilization differences
are attributed to differences in access
to care and cultural differences regarding
the use of health care services. A better
understanding of differences in health
care utilization by race and ethnicity,
the causal factors of these differences,
and whether these differences will persist
in the future allows for better predictions
of future demand for health workers.
Below is a sample of the literature that
describes differences in health care utilization
by race or ethnicity.
-
Mueller, Patil and Boilesen (1998) analyzed
data from the 1992 National Health Interview
Survey (NHIS) and found racial disparities
in use of physician services even after
controlling for factors such as insurance
status, geographic location and other
patient characteristics. The disparity
in use of physician services by race
was not statistically different from
zero for those patients living in urban
areas, but the disparity was statistically
different from zero for patients living
in rural areas. Insurance status and
location (urban versus rural) are greater
determinants of use of physician services
than is patient race.
-
Hargraves, Cunningham and Hughes (2001)
found small differences in access to
care and health care use of non-Hispanic
whites and minorities enrolled in managed
care plans. Whereas approximately 78
percent of non-Hispanic whites have
a regular provider, only 74 percent
of Hispanics and African Americans have
a regular provider. Whites have slightly
higher use of specialists. In their
last physician visit, 28 percent of
non-Hispanic whites saw a specialist
compared to 26 percent for African Americans
and 22 percent for Hispanics.
-
Burns et al. (1996) use Medicare claims
from ten States to examine differences
in mammography use between elderly African
American and white women. They find
that African American women had lower
use rates than white women across all
levels of primary care. These authors
cite additional research that finds
that physicians are more likely to encourage
elderly white women to obtain mammograms
than elderly African American women,
highlighting concerns about provider
attitudes.
-
Peterson et al. (1994) analyzed the
use of cardiac procedures of men treated
at Veterans Affairs Medical Centers.
These authors find that African Americans
are less likely than their white counterparts
to undergo selected cardiac procedures.
The authors suggest several reasons
for the differences in treatment, including:
(1) differences in severity, (2) consumer
preferences, and (3) differences in
how providers may weigh the risk and
benefit of invasive procedures differently
for African Americans than for whites.
-
Todd et al. (1993) studied analgesic
use in emergency departments and find
that ethnicity was a strong predictor
of the lack of use of analgesics.
-
Mitchell et al. (2000) analyzed Medicare
inpatient data to compare differences
between African Americans and whites
in the use of diagnostic and therapeutic
services for cerebrovascular disease.
These authors control for differences
in factors such as health care needs
and ability to pay. Still, they find
that "black patients were significantly
less likely to receive non-invasive
cerebrovascular testing, cerebral angiography,
or carotid endarterectomy compared to
white patients (p. 1413)."
Not all studies find differences by race
or ethnicity in use of health care services.
For example, Horner et al. (1997) found
no differences by race and ethnicity in
the use of inpatient rehabilitation services
for elderly stroke victims after adjusting
for differences in patient risk.
Access to affordable medical insurance
is often cited as a major determinant
of access to care. People in racial and
ethnic minority groups in 1999 were more
than twice as likely as nonminorities
to be uninsured. The Census Bureau estimates
that, in 1999, 89 percent of non-Hispanic
whites had some form of medical insurance
while only 79 percent of African Americans
and 67 percent of Hispanics were insured.
[7]
These statistics are important
because the literature has established
a link between access to care and health
status (e.g., Drake and Lowenstein, 1998).
Specifically, people without medical insurance
tend to receive less preventative care
and have higher rates of hospitalization
for potentially avoidable problems. Drake
and Lowenstein note that in California
during the year of their study (1993),
approximately 14 percent of African Americans
and 37 percent of Latinos were uninsured,
compared to 12.5 percent of whites.
An analysis of the 1999 NHIS found that
9 percent of non-Hispanic whites, 16.4
percent of African Americans, and 26.3
percent of other minorities (including
Hispanic whites) were without health insurance
on the date surveyed in 1999. The PARM
divides the population into three insurance
categories: insured in a fee-for-service
arrangement, insured in an HMO, and uninsured.
Exhibit 3.2 shows that the proportion
of each racial/ethnic group in an HMO
is relatively similar, controlling for
age and sex, but the percentage insured
in a fee-for-service arrangement and uninsured
vary substantially by race/ethnicity.
Language and cultural differences also
are cited as factors affecting health
care utilization. With the growing population
of Hispanics in the U.S. and immigration
from non-English speaking countries, language
is playing an increasingly important role
in the provision of health care services.
Consider the following findings in recent
studies.
-
Kravitz et al. (2000) found that Spanish-speaking
patients who visited the General Medicine
and Family Practice Clinics at the UC
Davis Medical Center were less likely
to follow up with recommended laboratory
studies compared to English-speaking
patients. In addition, patients needing
a translator required more physician
time per visit. The authors applied
regression models to estimate the impact
of language on physician time per visit.
They found that Spanish- and Russian-speaking
patients averaged 9.1 and 5.6 additional
minutes of physician time, respectively,
compared to English-speaking patients
after controlling for other determinants
of physician time per visit.
Exhibit
3.2. Percent Distribution of the Population
by Demographic Group Across Three Insurance
Categories
| Age
|
Insurance
|
Non-Hispanic
White |
African
American |
All
Other |
| Male
|
Female
|
Male
|
Female
|
Male
|
Female
|
| 0-17
|
FFS
|
59
|
59
|
59
|
61
|
48
|
48
|
| HMO
|
34
|
34
|
30
|
27
|
29
|
29
|
|
| Uninsured
|
7
|
7
|
11
|
12
|
23
|
23
|
|
| 18-34
|
FFS
|
48
|
52
|
39
|
46
|
30
|
35
|
| HMO
|
32
|
33
|
29
|
33
|
28
|
31
|
|
| Uninsured
|
21
|
15
|
32
|
21
|
42
|
34
|
|
| 35-54
|
FFS
|
55
|
56
|
44
|
45
|
35
|
39
|
| HMO
|
35
|
35
|
37
|
36
|
36
|
36
|
|
| Uninsured
|
11
|
9
|
19
|
18
|
29
|
25
|
|
| 55-64
|
FFS
|
61
|
63
|
57
|
59
|
43
|
48
|
| HMO
|
32
|
30
|
28
|
25
|
37
|
31
|
|
| Uninsured
|
7
|
7
|
15
|
16
|
20
|
21
|
|
| 65-74
|
FFS
|
85
|
87
|
82
|
82
|
85
|
85
|
| HMO
|
15
|
13
|
18
|
18
|
15
|
15
|
|
| Uninsured
|
0
|
0
|
0
|
0
|
0
|
0
|
|
| 75+
|
FFS
|
89
|
89
|
87
|
93
|
88
|
93
|
| HMO
|
11
|
11
|
13
|
7
|
12
|
7
|
|
| Uninsured
|
0
|
0
|
0
|
0
|
0
|
0
|
|
| All
Ages |
FFS
|
60
|
63
|
52
|
56
|
41
|
46
|
| HMO
|
30
|
29
|
30
|
29
|
30
|
30
|
|
| Uninsured
|
10
|
8
|
18
|
15
|
28
|
24
|
|
| FFS
|
61
|
54
|
44
|
|
|
|
|
| HMO
|
30
|
30
|
30
|
|
|
|
|
| Uninsured
|
9
|
16
|
26
|
|
|
|
|
Source:
Analysis of the 1999 NHIS.
- Derose
and Baker (2000) analyzed survey data
for 465 Spanish-speaking Latinos and
259 English speakers of various ethnicity
who presented to a public hospital emergency
department in Los Angeles. The survey
asked participants to assess their English-speaking
ability; indicate the number of visits
to a physician during the prior three
months; and provide information on the
participants' health status, socioeconomic
status, and demographic characteristics.
The authors found that of participants
who had at least one visit to a doctor
during the previous three months, those
with limited English proficiency had
22 percent fewer visits, on average,
compared to participants with good-to-excellent
English proficiency. The study controlled
for patient characteristics that could
be correlated with the use of physician
services such as health conditions and
insurance status. In practice, therefore,
language and communication may be significant
barriers to access to care.
In addition to differences across racial
groups and English/non-English speakers
in access to and use of health care services,
there are significant differences in measures
of health status that affect the type
of care demanded. Keppel, Pearcy, and
Wagener (2002) find that compared to non-Hispanic
whites, many minority populations have
higher infant mortality rates, higher
rates of infants with low birth weight,
higher age-adjusted rates of heart disease
death, higher rates of tuberculosis, and
disparities in many other measures of
health care.
Freiman (1998) argues that the relationship
between race or ethnicity and demand for
health care services is a complex function
of cultural, socioeconomic, and other
considerations. Consequently, Freiman
concludes that separate demand equations
should be estimated for people in different
racial or ethnic groups. To support his
conclusions, Freiman presents findings
from a multiple regression analysis of
the 1987 National Medical Expenditure
Survey where statistical tests performed
indicate significant differences in the
estimated coefficients of demand equations-estimated
separately for non-Hispanic whites, African
Americans, and Hispanics-that control
for important determinants of health care
use.
The
PARM provides insight on the proportion
of patient care hours that physicians
spend providing care to patients in three
race/ethnic groups. These estimates, like
those described for people in different
age categories in the preceding section,
are based on patterns of health care use,
the size of the population in each demographic
group, and the average amount of time
physicians spend with patients per encounter.
In physicians' offices and in hospital
outpatient settings, the average time
spent per visit can differ by patient
depending on the patient's demographic
characteristics and insurance status.
In the other settings, however, there
are insufficient data to test the hypothesis
that physician time per visit is independent
of patient demographics and insurance
status. Note that differences in the age
and sex distribution of the population,
by race, contribute to differences in
the proportion of patient care hours spent
with patients of different races.
In 2000, physicians spent approximately
69 percent of patient care hours with
non-Hispanic whites, 13 percent with African
Americans, and 18 percent with other minorities
(Exhibits 3.3 and 3.4). Although the proportion
of total patient care hours approximated
the proportion of the population in each
racial group, the distribution of hours
varied by physician specialty. African
Americans, who constituted approximately
12 percent of the U.S. population in 2000,
used a disproportionately higher percentage
of total patient care hours of emergency
medicine physicians (38 percent), obstetrician/
gynecologists (17 percent), and pediatricians
(16 percent). They received proportionately
fewer hours from "other" surgical
specialties (8 percent) and general surgeons
(9 percent). The population in the "other"
race/ethnicity category, which constituted
approximately 19 percent of the total
population in 2000, received a relatively
larger proportion of radiology (31 percent)
and pathology (29 percent) services, but
a relatively smaller proportion of patient
care hours from urologists (11 percent),
ophthalmologists (11 percent), and general
and family practitioners (13 percent).
If the distribution of insurance status
for non-Hispanic whites were applied to
other racial minorities, the total demand
for physicians in 2000 would have risen
significantly (see Section 5, Scenario
5) but the percentage of patient care
hours by racial group would have remained
relatively unchanged. The percentage of
total physician patient care hours spent
with non-Hispanic whites would decline
by two percentage points while the percentage
spent with African Americans and other
minorities would rise by one percentage
point for each group. For most specialties,
the change in percent of time spent with
patients in each race/ethnicity group
changes by less than two percentage points.
The largest change is for obstetrics/gynecology
services. Under this scenario, the percentage
of hours spent with non-Hispanic white
patients would fall by three percentage
points while the percentage of hours spent
with patients in the "other"
category (which includes Hispanics) would
rise by three percentage points.
If health care utilization patterns and
physician productivity patterns remain
constant over time, in 2020 physicians
will be spending approximately 14 percent
of patient care hours with African Americans
and 26 percent of hours with patients
of other minority groups, again percentages
roughly comparable to each group's share
of the total population.
Physical therapists, optometrists, and
podiatrists are seen to spend a disproportionate
amount of time with non-Hispanic whites
relative to their share of the population
(Exhibit 3.4). While the gap for African
Americans is small (and non-existent in
the case of podiatrists), the gap for
other minority groups was large in 2000
and projected to remain so in 2020.
Exhibit
3.3: Distribution of Total Patient Care
Hours, by Patient Race: Total Active Physicians
in Patient Care
Exhibit
3.3: Distribution of Total Patient Care
Hours, by Patient Race: Total Active Physicians
in Patient Care (Text Only)
| |
Non-Hispanic
White |
African
American |
Other
|
| 2000
|
0.69
|
0.13
|
0.18
|
| 2020
|
0.6
|
0.14
|
0.26
|
Exhibit
3.4. Estimated Percentage of Patient Care
Hours, by Race of Patient
|
Specialty |
2000a
|
2020a
|
| Non-Hispanic
White |
African
American |
All
Other |
Non-Hispanic
White |
African
American |
All
Other |
|
Total Patient Care Physicians (MDs
and DOs) |
69
|
13
|
18
|
60
|
14
|
26
|
|
|
|
|
|
|
|
|
General Primary Care |
72
|
13
|
15
|
63
|
14
|
24
|
| GP
& FP |
78
|
10
|
13
|
69
|
11
|
20
|
| General
Internal Med. |
72
|
14
|
14
|
63
|
15
|
23
|
| Pediatrics
|
61
|
16
|
23
|
51
|
17
|
32
|
|
Medical Specialties |
71
|
13
|
16
|
62
|
13
|
25
|
| IM
Subspecialties |
71
|
13
|
16
|
62
|
13
|
25
|
| Cardiovascular
Diseases |
73
|
11
|
15
|
64
|
12
|
24
|
| Other
Medical Specialties |
70
|
13
|
17
|
60
|
13
|
26
|
|
Surgery |
71
|
12
|
17
|
62
|
12
|
26
|
| General
Surgery |
70
|
9
|
22
|
59
|
9
|
32
|
| Obstetrics/Gynecology
|
66
|
17
|
17
|
57
|
18
|
25
|
| Otolaryngology
|
75
|
11
|
14
|
67
|
12
|
21
|
| Orthopedic
Surgery |
72
|
11
|
17
|
62
|
11
|
27
|
| Urology
|
78
|
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