Changing Demographics: Implications for Physicians, Nurses, and Other Health Workers
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Spring 2003

 

U.S. Department of Health and Human Services
Health Resources and Services Administration
Bureau of Health Professions
National Center for Health Workforce Analysis
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bhpr.hrsa.gov/healthworkforce/

 
TABLE OF CONTENTS  

   
  COVER  
  EXECUTIVE SUMMARY  
 

  1. INTRODUCTION
  2. AGING OF THE POPULATION
    1. POPULATION FORECASTS
    2. IMPLICATIONS OF AN AGING POPULATION FOR THE DEMAND FOR HEALTH WORKER
      1. Increasing Demand for Health Care Services
      2. Increasing Demand for Health Workers
    3. IMPLICATIONS OF AN AGING POPULATION FOR THE SUPPLY OF HEALTH WORKERS
      1. Physician Supply
      2. Nurse Supply
    4. IMPLICATIONS OF AN AGING POPULATION FOR THE ECONOMICS OF THE HEALTH CARE SYSTEM
  3. CHANGING RACIAL AND ETHNIC COMPOSITION OF THE POPULATION
    1. POPULATION FORECASTS
    2. IMPLICATIONS OF THE CHANGING RACIAL AND ETHNIC COMPOSITION OF THE POPULATION FOR THE DEMAND FOR HEALTH WORKERS
    3. IMPLICATIONS OF THE CHANGING RACIAL AND ETHNIC COMPOSITION OF THE POPULATION FOR THE SUPPLY OF HEALTH WORKERS
      1. Physician Supply
      2. Nurse Supply
  4. GEOGRAPHIC LOCATION OF THE POPULATION
    1. POPULATION PROJECTIONS AND REGIONAL GROWTH PATTERNS
    2. EVOLVING TRENDS IN URBANIZATION
    3. URBAN DEMOGRAPHY AND THE EFFECTS ON PHYSICIAN LOCATIONS
  5. MODELING THE IMPACT OF CHANGING DEMOGRAPHICS ON THE FUTURE DEMAND FOR HEALTH PROFESSIONALS
    1. PHYSICIAN AGGREGATE REQUIREMENTS MODEL
      1. Modeling Physician Requirements
      2. Modeling Requirements for Physical Therapists, Optometrists, and Podiatrists
    2. NURSING DEMAND MODEL
  6. SUMMARY AND CONCLUSIONS
 
  REFERENCES  
     

 
     
  EXECUTIVE SUMMARY  
  The size and characteristics of the future health workforce are determined by the complex interaction of the health care operating environment, economic factors, technology, regulatory and legislative actions, epidemiological factors, the health care education system and demographics. Efforts over the past several decades to model the supply of and demand for health workers show there is a lack of consensus on the relationship between the health workforce and its determinants, the future values of many of these determinants, and forecasters' assumptions.

The Workforce Analysis Branch of the Bureau of Health Professions (BHPr), Health Resources and Services Administration (HRSA), commissioned a report synthesizing the literature on one set of factors that will have a profound impact on the future health workforce-changing demographics-and discussing its implications for the health workforce. In addition, BHPr commissioned the update of two requirements forecasting models: the Physician Aggregate Requirements Model (PARM) and the Nursing Demand Model (NDM). The major findings of the literature and these two demand models are the following.
 
     
  Population Aging  
 
  • If health care consumption patterns and physician productivity remained constant over time, the aging population would increase the demand for physicians per thousand population from 2.8 in 2000 to 3.1 in 2020. Demand for full-time-equivalent (FTE) registered nurses per thousand population would increase from 7 to 7.5 during this same period.
  • In 2000, physicians spent an estimated 32 percent of patient care hours providing services to the age 65 and older population. If current consumption patterns continue, this percentage could increase to 39 percent by 2020.
  • The aging of the health workforce raises concerns that many health professionals will retire about the same time that demand for their services is increasing. Furthermore, the declining proportion of the population age 18 to 30 raises concerns regarding the ability to attract a sufficient number of new health workers.
  • The rise in health care expenditures associated with the rapid increase in the elderly population will likely place additional pressures on the Medicaid and Medicare programs, as well as private insurers, to control health care costs. Such measures would likely decrease the demand for and supply of health professionals.
  • The aging population could result in rising average patient acuity, which could in turn require higher nurse and physician staffing levels. One countervailing trend is that tomorrow's elderly might have lower disability rates than today's elderly, controlling for age, because of improvements in economic resources, education levels, lifestyle, public health, and medical technology.
 
 
Increasing Racial and Ethnic Diversity
 
 
  • The literature suggests that Hispanics and non-whites have different patterns of health care use compared to non-Hispanic whites. 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 31 percent 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.
 
 
Geographic Location of the Population
 
 
  • Geographic variation in population growth rates and in determinants of health worker demand and supply highlight the importance of developing forecasting models that can make State-level and sub-State level forecasts.
  • Although an increasing proportion of the U.S. population resides in urban areas, a substantial proportion of the population will continue to reside in rural areas. Many of these rural areas are currently designated as physician shortage areas.
  • Pockets of urban areas will continue to have a high concentration of minorities. Many of these areas are currently designated as physician shortage areas. Efforts to increase the supply of health professionals in these areas must deal with economic, cultural and language considerations.
 
 
Forecasting the Impact of Changing Demographics and Other Factors on Physician Requirements
 
  The PARM forecasts requirements for allopathic (MD) and osteopathic (DO) physicians providing patient care in 19 specialties as well as physicians in non-patient-care activities. Requirements are demand-based and rely on current and forecasted patterns of health care use, physician staffing patterns, and medical insurance prevalence rates. We consider forecasts under five scenarios (Exhibit ES.1).
  • Scenario 1, Status Quo, forecasts physician requirements under the assumption that patterns of health care use, medical insurance coverage, and physician productivity remain constant over time. Under this scenario, total requirements for physicians would increase from approximately 781,300 in 2000 to 1,038,200 in 2020 (a 33 percent increase).
  • Scenario 2, Baseline, is our best estimate of demand for physicians based on changing demographics and projected trends in the other factors (e.g., insurance coverage and economic considerations). Under this scenario, physician requirements would increase to 996,400 in 2020 (a 28 percent increase).
  • Scenario 3, Universal Coverage, assumes that the entire U.S. population has medical insurance. Under this scenario, the uninsured population is placed into the insured fee-for-service and health maintenance organization (HMO) settings based on the current proportion of the insured population in each of those two settings. Under this scenario, total demand for physicians would have been an estimated 817,600 in 2000, increasing to an estimated 1,092,400 (a 40 percent increase over the 2000 baseline level).
  • Scenario 4 is universal health care coverage with 100 percent of the population enrolled in a health maintenance organization. Under this scenario, total requirements would have been an estimated 781,900 in 2000, increasing to an estimated 1,059,900 in 2020 (a 36 percent increase over the 2000 baseline level).

 

 
  • Scenario 5, Non-minority Rates, assumes that minorities have rates of medical insurance coverage similar to non-Hispanic whites within each demographic group defined by age and sex. Under this scenario, demand for physicians would have been an estimated 802,400 in 2000, increasing to an estimated 1,072,000 in 2020 (a 37 percent increase over the 2000 baseline level).
 
     
  Exhibit ES.1 Forecasted Physician Requirements  
 
Scenario 2000 2020
1: Status Quo
781,282
1,038,234
2: Baseline
781,282
996,387
3: Universal Coverage
817,615
1,092,381
4: 100 percent HMO
781,889
1,059,907
5: Non-minority Rates
802,356
1,072,048
 

     
  The PARM also forecasts requirements for three non-physician specialties: physical therapy, podiatry, and optometry. Based on available data and studies, the requirements for all three professions are projected to increase, between 2000 and 2020, at rates equal to or slightly greater than the growth in population.  
 
Forecasting the Impact of Changing Demographics and Other Factors on Nurse Requirements
 
  The NDM forecasts demand-based requirements for FTE registered nurses (RNs), licensed practical nurses (LPNs), nurse aides and home health aides (NAs). Although the NDM forecasts requirements at the State level, in this report we present only national-level forecasts (Exhibit ES.2). Under a baseline scenario, which represents the forecasts most likely to occur based on changing demographic and projected trends in other determinants of nurse demand, total requirements for FTE RNs would increase from approximately 2 million in 2000 to 2.8 million in 2020 (a 41 percent increase). Requirements for FTE LPNs would increase from 618,000 in 2000 to 905,000 in 2020 (a 46 percent increase). There would also be an increase in FTE nurse aide and home health aide requirements from 1.5 million in 2000 to 2.3 million in 2020 (a 50 percent increase).

Demand for nurses and nurse aides will continue to grow in hospitals during the next two decades, but at a slower rate than for the nursing professions as a whole. The exception results from strong growth in demand for RNs in hospital outpatient settings as technological innovations and managed care trends shift patients from inpatient to outpatient care. The fastest growth in demand will occur in nursing facilities and home health. Under a status quo scenario where patterns of per capita health care use and nurse staffing remain constant over time, the requirement for nurses and nurse aids increases at a slower rate than under the baseline scenario.

 

     
  Exhibit ES.2 Forecasted FTE Nurse Requirements  
 
  Baseline Scenario Status Quo Scenario
  2000 2020 2020
Registered nurses
2,001,198
2,822,388
2,505,747
Licensed practical nurses
617,946
905,159
787,329
Nurse aides and home health aides
1,545,722
2,323,518
1,983,582
 
     
     
  Findings from the PARM and NDM, as well as the literature review, provide important insights on the impact of changing demographics on the health workforce. This report also identifies areas for additional research such as (a) factors changing the per capita use of health care services, (b) the paucity of information on the relationship between race/ethnicity and the supply of health workers, and (c) the need for models that can forecast demand for and supply of health workers at smaller geographic units of aggregation (e.g., at the sub-State level).  
     
   

 

 
  1. INTRODUCTION
 
  The size and characteristics of the future health workforce are determined by the complex interaction of the health care operating environment, economic factors, technology, regulatory and legislative actions, epidemiological factors, the health care education system and demographics. Efforts over the past several decades to model the supply of and demand (or "requirements") for health workers show there is a lack of consensus on the relationship between the health workforce and its determinants, the future values of many of these determinants, and forecasters' assumptions. [1]

Furthermore, past forecasts of impending surpluses and shortages of health professionals often failed to materialize, leading to the general consensus that a much better understanding is needed about the dynamics affecting the supply of and demand for health professionals.

The Workforce Analysis Branch of the Bureau of Health Professions (BHPr), Health Resources and Services Administration (HRSA), commissioned a report synthesizing the literature on one set of factors that will have a profound impact on the future health workforce-changing demographics. In addition, BHPr commissioned the updating of two requirements forecasting models: the Physician Aggregate Requirements Model (PARM) and the Nursing Demand Model (NDM).

This report discusses findings from the literature review of the implications of important demographic trends for the health workforce. In addition, this report presents findings from the NDM and PARM to quantify the impact of changing demographics on demand for allopathic (MD) and osteopathic (DO) physicians, registered nurses (RNs), licensed practical nurses (LPNs), nurse aides and home health aides (NAs), physical therapists, optometrists, and podiatrists. This report also presents forecasts from the PARM and NDM for several scenarios with different assumptions regarding the future health care operating environment, the productivity of doctors and nurses, and other factors.

 
  Although the demographic trends discussed here have implications for the entire health workforce, the discussion in this report is heavily tilted towards the physician and nursing professions. Reasons for this focus include the dominance of these professions in the health workforce literature, the focus on these professions by government commissions and policy makers, and the availability of the PARM and NDM for forecasting requirements for physicians and nurses.  
  Demographics are a major determinant of the size and characteristics of the future health workforce, and demographic trends can be extrapolated with reasonable accuracy one or two decades into the future. In addition to the growth in size of the U.S. population in future decades, three demographic trends have profound implications for the future health workforce:
  • First, the population is aging and the size of the elderly population will increase substantially. An aging population will place greater demands on the health care system at the same time that many health professionals will be retiring. Also, as the population ages there will be a continuing shift in the type and setting of services provided.
  • Second, the population is becoming more racially and ethnically diverse. Concerns that minorities are underrepresented in the health workforce have both equity implications for people who need health care services and efficiency implications for the health care system. As minorities constitute a larger proportion of persons entering the workforce, the U.S. population will increasingly rely on minority health workers for their care.
  • Third, the population is shifting geographically and a significant portion of the U.S. population will continue to reside in areas with persistent shortages of health workers. These trends highlight the need for forecasting models that can make State-level and sub-State-level forecasts of health worker supply and demand.

 

  Other demographic trends with implications for the future supply of and demand for health workers include changes in fertility patterns, family size and composition, longevity, immigration, and overall health of the population. These trends are discussed within the context of the three major trends discussed above.

In both the PARM and NDM, requirements are defined as the number of health professionals demanded based on the level of health care services that society is willing to purchase given population needs and economic considerations. Other authors have used “need” to define requirements, where need is based on the analyst’s assessment of what constitutes an adequate supply of health workers, independent of society's willingness or ability to purchase services.

Using the PARM and NDM, we forecast future demand for health care services and the derived demand for 19 physician specialties, nurses, and the other health workers listed previously. We forecast a “status quo” scenario that assumes no change in per capita health care utilization patterns, health worker productivity, and health worker staffing patterns. Under such a scenario, between the years 2000 and 2020, changing demographics would cause an estimated 30 percent increase in inpatient days, a 20 percent increase in outpatient visits, and a 17 percent increase in emergency department visits at general, short-term hospitals.  Inpatient days at non-general and long-term hospitals would increase by an estimated 33 percent; the number of nursing facility residents would increase by 40 percent; the number of home health visits would increase by 36 percent; and the number of visits to physicians’ offices would increase by 23 percent.

The change in demand for health care services would increase requirements for physicians by approximately 33 percent, although the increase in requirements would vary by medical specialty. For example, requirements for cardiologists would increase by an estimated 52 percent while requirements for pediatricians would increase by an estimated 11 percent. Requirements would increase approximately 28 percent for RNs, 30 percent for LPNs, and 33 percent for nurse aides (including home health aides).
 
     
 
Although demographics are a dominant determinant of the demand for health workers, other important factors are the characteristics of the future health care system, economic considerations, technological advances, and population needs. A detailed discussion of these trends is outside the scope of this project; however, the extant literature in this area is relatively large. [2] Using the PARM and NDM, we forecast future requirements for selected health care professions under alternative scenarios regarding the future health care operating environment.

The baseline scenario in both the PARM and NDM produce the forecasts that are most likely to occur based on changing demographics and projected trends in the factors listed above (e.g., trends in insurance coverage and economic considerations). The baseline forecasts for physician requirements are slightly lower than under the status quo scenario (28 percent growth between 2000 and 2020 instead of 33 percent growth), and the change in requirements for individual physician specialties is quite different in some cases. Under the NDM’s baseline scenario, requirements for RNs grow faster than under the status quo scenario (41 percent growth between 2000 and 2020 instead of 28 percent growth), reflecting different assumptions about changes in average patient acuity levels and other factors. Under the baseline scenario, total requirements for LPNs, nurse aides, and home health aides rise faster than forecasts under the status quo scenario.
 
     
 
The remaining sections in this report discuss the implications for the health workforce of the aging population (Section 2), the changing racial and ethnic composition of the population (Section 3), and population geographic location (Section 4). Each of these sections presents information on the demographic trend, discusses the implications of the trend on demand for health care services and derived demand for health workers, and discusses the implications for the supply of health workers. Section 5 describes the recently updated PARM and NDM and presents findings from these models. Section 6 summarizes the main findings of this effort and discusses areas for additional research.
 
     
     
 
  1. AGING OF THE POPULATION
 
  Increased longevity and the
Major Findings:
  • If health care consumption patterns and physician productivity remained constant over time, the aging population would increase the demand for physicians per thousand population from 2.8 in 2000 to 3.1 in 2020. Demand for full-time-equivalent RNs per thousand population would increase from 7 to 7.5 during this same period.
  • In 2000, physicians spent an estimated 32 percent of patient care hours providing services to the age 65 and older population. If current consumption patterns continue, this percentage could increase to 39 percent by 2020.
  • The aging of the health workforce raises concerns that many health professionals will retire about the same time that demand for their services is increasing. Also, the elderly population will grow at a faster rate than the working-age population.
  • The rise in health care expenditures associated with the rapid increase in the elderly population will likely place pressures on the Medicaid and Medicare programs to control health care costs. Such measures would likely decrease the demand for and supply of health professionals.
aging of the baby boom generation will contribute to a substantial increase in the size of the elderly population during the next few decades as well as the aging of the overall population. Four major implications of an aging population on the health workforce are the following.

One, because the elderly have both greater and different health care needs than the non-elderly, the rapid growth in size of the elderly population could substantially increase overall demand for health care services and consequently the derived demand for health workers. Occupations and settings that disproportionately serve the elderly will experience the largest growth. If health care consumption patterns and physician productivity remained constant over time, the aging population would increase the demand for physicians per thousand population from 2.8 in 2000 to 3.1 in 2020. Demand for full-time-equivalent (FTE) RNs per thousand population would increase from 7 to 7.5 during this same period.

Two, physicians will spend an increasing proportion of their time treating the elderly. Our analysis of multiple health care use databases suggests that in 2000 physicians spent an estimated 32 percent of total patient care hours providing services to the age 65 and older population. If current patterns continue, this percentage could increase to 39 percent by 2020.

Three, the health workforce is aging along with the general population. As health professionals in the baby boom generation retire and as the pool of potential entrants to the health workforce (i.e., the population age 18 to 30) declines as a percentage of the total population, there is concern that the future supply of health professionals will be inadequate to meet demand.

Four, the expected increase in health care expenditures attributed to the growing elderly population will likely place pressures on the Medicaid and Medicare programs to control health care costs. The ratio of working-to-retired Americans will likely decrease, placing budget pressures on other government programs that compete with funding for Medicaid and Medicare. Economic pressures to curb the growth in health care costs could result in policies to reduce the demand for and supply of health workers.

 

     
     
  2.1 Population Forecasts  
  Census Bureau population projections show significant shifts in the age distribution (Exhibit 2.1) with the number of elderly increasing in absolute size and as a proportion of the total population (Exhibit 2.2). The number of elderly, defined as the "age 65 and over" population, will grow by over 50 percent between 2000 and 2020, and by an estimated 127 percent by 2050. Furthermore, the relative size of the elderly population is projected to increase from 12.6 percent of the population in 2000 to an estimated 16.5 percent in 2020. Between 2030 and 2050, one in five Americans will be elderly.

The most rapidly growing demographic group among age categories is the "oldest elderly." This group is sometimes defined differently by researchers, but the most common definitions are the population age 75 and over, age 80 and over, and age 85 and over. [3] In 2000, there were approximately 16.6 million people age 75 and over, 9.2 million people age 80 and over, and 4.2 million people age 85 and over. By 2020, the number of people in these age groups could reach 22 million, 13 million, and 7 million, respectively.

 

     
  Exhibit 2.1. Age Distribution of U.S. Population  
  Exhibit 2.1. Age Distribution of U.S. Population  
     
  Exhibit 2.1. Age Distribution of U.S. Population (Text Only)  
 
Age 2000 2020 2050
0-9
14.2%
13.5%
13.6%
10-19
14.5%
13.2%
13.5%
20-29
13.1%
13.3%
12.8%
30-39
15.2%
13.0%
12.4%
40-49
15.4%
11.6%
11.5%
50-59
11.1%
12.6%
11.0%
60-69
7.3%
11.8%
10.0%
70-79
5.9%
7.2%
7.6%
80-89
2.8%
2.9%
5.4%
90+
0.6%
0.9%
2.3%
 
  Source: U. S. Census Bureau middle series population projections (Day, 1996).  
     
  Exhibit 2.2. Projections of U.S. Elderly Population  
 
Year Mean Age Population 65+ (in millions) % of Population 65+ %increase from 2000 in 65+ population
2000
36.5
34.71
12.6
--
2005
37.2
36.17
12.6
    4.2
2010
37.8
39.41
13.2
13.5
2020
39.0
53.22
16.5
53.3
2030
39.9
69.38
20.0
99.9
2040
40.3
75.23
20.3
116.8
2050
40.3
78.86
20.0
127.2
 
     
     
  2.2 Implications of an Aging Population for the Demand for Health workers  
  2.2.1 Increasing Demand for Health Care Services  
  The greater medical needs of the elderly, combined with access to health care services through Medicare and Medicaid, have resulted in much higher per capita use of health care services for the elderly compared to the non-elderly. On a per capita basis, the elderly have more hospital inpatient days, outpatient visits, and emergency department visits. Relative to the non-elderly, they also have more home health visits per capita and are more likely to be in a long-term care facility.

To illustrate these points, consider Exhibits 2.3 through 2.8 that contain estimates of per capita health care use by age, sex, and urban or rural location for six health care settings modeled in the NDM. The most profound differences in per capita utilization exist across age groups; however, there are also important differences in per capita utilization by sex and by urban or rural location. Many of the following estimates are for 1996, the base year in the NDM, although more recent data are available for some settings.

 
  An analysis of the 1996 Health Cost Utilization Project (HCUP) database finds that with the exception of the age 0-4 population, the number of inpatient days in general, short-term hospitals per 1,000 population increases substantially with age for both men and women, in both rural and urban areas (Exhibit 2.3). Analyses of other patient-level databases such as the National Hospital Ambulatory Medical Care Survey (NHAMCS), the National Home and Hospice Care Survey (NHHCS), and the National Nursing Home Survey (NNHS) produced estimates of per capita health care utilization in different settings for the eight age groups used in the NDM, by sex, and by urban or rural location. These are shown in Exhibits 2.4 through 2.8.

 

     
     
  Exhibit 2.3. Inpatient Days in General, Short-term Hospitals (per 1,000 population)  
 
  Rural Urban
Age Category Female Male Female Male
0-4 years
430
449
789
838
5-17 years
57
45
79
81
18-24 years
276
83
280
141
25-44 years
218
134
327
242
45-64 years
307
317
470
633
65-74 years
919
1,049
1,187
1,640
75-84 years
1,871
2,137
1,985
2,468
85 years and above
3,052
3,826
2,734
3,302
 
  Source: Analysis of the 1996 HCUP database with an adjustment so that rates applied to the population in 1996 equaled total inpatient days reported by the American Hospital Association (AHA). See Dall and Hogan (2002).  
     
  Exhibit 2.4. Outpatient Visits in General, Short-term Hospitals (per 1,000 population)  
 
  Rural Urban
Age Category Female Male Female Male
0-4 years
1,472
2,967
985
3,519
5-17 years
783
1,838
651
1,548
18-24 years
954
3,418
592
876
25-44 years
931
2,472
485
1,290
45-64 years
1,464
2,818
833
1,793
65-74 years
2,365
2,593
2,671
2,152
75-84 years
4,841
1,933
4,033
1,896
85 years and above
5,081
1,709
5,734
1,685
 
  Source: Analysis of the 1996 NHAMCS database with an adjustment so that rates applied to the population in 1996 equaled total non-emergency, outpatient visits reported by the AHA. See Dall and Hogan (2002).  
     
  Exhibit 2.5. Emergency Department Visits in General, Short-term Hospitals (per 1,000 population)  
 
  Rural Urban
Age Category Female Male Female Male
0-4 years
825
426
754
476
5-17 years
422
204
369
211
18-24 years
620
376
534
286
25-44 years
432
284
364
259
45-64 years
346
211
335
190
65-74 years
471
248
468
237
75-84 years
681
313
730