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. 1987 Fall;9(1):51–69.

Comparative trends in hospital expenses, finances, utilization, and inputs, 1970-81

Jerry Cromwell, Helene T Hewes, Nancy L Kelly, Saul Franklin
PMCID: PMC4192892  PMID: 10312272

Abstract

The annual surveys of the American Hospital Association historically have been the only national source of statistics on hospital structure and performance. Although valuable, this source has not provided the policy or research community with hospital-specific information on revenues, assets, and financial status. Data on these and other variables from heretofore unpublished Medicare cost report data are presented in this article. Hospital expenses, revenues, profits, indebtedness, utilization, investments, and employees are trended over the 1970-81 period by urban-rural location, teaching status, and ownership. It is indicated in these data that a major transformation in the hospital industry has occurred in response to cost-based Medicare-Medicaid and other factors that made acute care essentially unaffordable to the average citizen. The health maintenance organization movement and Medicare's prospective payment system are seen as logical reactions to this transformation.

Introduction

For 15 years after the introduction of Medicare and Medicaid in 1966, health costs were rising at an annual rate of more than 12 percent. Expenditures for the hospital sector alone were climbing at approximately the same rate. Health spending, which claimed 6.2 percent of the gross national product in 1965, took up 8.9 percent of the national product in 1980. Both private and public health spending reflected this growth, with Medicare and Medicaid costs rising from $1 billion to $2 billion initially to nearly $50 billion in 1981 (Freeland and Schendler, 1981) while private spending quadrupled over the same period.

Over the 10-year period of the 1970's, total Medicare enrollees grew by more than 7 million, a 3.4 percent annual compound growth (Muse and Sawyer, 1982). Payments, however, grew almost five times faster, or 15.8 percent. Thus, program enrollment growth explained only about one-fifth of Medicare program cost inflation.

Focusing more directly on hospital care, total Medicare discharges grew 5.6 percent annually between 1970 and 1978, or 2.1 percent on a per enrollee basis (Muse and Sawyer, 1982). Total days of care grew much more slowly, however, producing a slight decline in days per enrollee, −0.4 percent annually. Length of stay fell 2.1 percent annually, or 2 days in 8 years. Hospital payments per enrollee grew 11.6 percent annually over the decade, two points higher than on a per discharge basis (9.5 percent).

The 1980's ushered in a new era of slower growth, attributable in significant part to Medicare's innovative prospective payment system (PPS), which limits the rate of increase in payments to hospitals. Medicare hospital outlays rose by only 5.5 percent in fiscal year 1985, the smallest rate of increase in the history of the program (U.S. Department of Health and Human Services, 1986). Medicare days of care, which fell by less than one-half a percentage point a year in the 1970's, fell 10.5 percent in the first year of the PPS and 13.0 percent in the second year (U.S. Department of Health and Human Services, 1986). Such remarkable reversals in historical trends demand explanation. In particular, how much of the decline in the utilization of and cost inflation in hospitals can be explained by the switch from retrospective to prospective payment for Medicare?

In answering this question, it is valuable to look back and describe in some detail the experience of the previous decade. Existing literature and data on many aspects of hospital performance are surprisingly limited—surprising given the plethora of data available from annual surveys of the American Hospital Association (AHA). What is missing is hospital-specific information on revenues, financial status, Medicare costs and utilization, and assets and investment that would permit comparative trends in utilization, expenses, finances, and inputs by urban-rural location, bed size, teaching status, and ownership. This article contains such information based on heretofore unpublished Medicare cost report data, showing where the hospital industry was in 1970 near the beginning of Medicare and Medicaid and how it evolved over the decade. The data were collected as part of a 6-year longitudinal study of prospective rate setting in 15 States funded by the Health Care Financing Administration (HCFA). Important decadal trends are highlighted in this article. A more extensive set of tables and discussion are available in Cromwell, et al. (1986).

The rest of the article is in six sections. First, the data sources, sampling methods, and mode of presentation are discussed. This is followed by a set of descriptive results grouped into the following four areas:

  • Revenues, expenses, and financial status.

  • Utilization (including admissions and lengths of stay).

  • Assets, investment rates, and age of capital stocks.

  • Employees and salaries.

In the concluding section, a few comparisons of the 1970's experience with that of the post-PPS world are made.

Data sources and methods

Sample frame

The sample frame for this descriptive analysis of the 1970's relied on the hospital year as the unit of observation, based on a list of all short-term general hospitals that responded to the AHA annual survey in any year between 1969 and 1976, inclusively. A one-quarter random sample of all U.S. short-term general hospitals was drawn, resulting in a full sample of between 1,300 and 1,400 hospitals per year, with observations covering all or part of the 1969-81 period. The year 1969 was excluded from the analysis as the Medicare cost reports did not extend back to that year. For some variables (e.g., hospital revenues, financial status, and investment), Medicare cost report data for the early 1980's were unavailable, limiting analysis of these variables to the 1970-79 period.

Data bases

The hospital file was constructed from two sources: AHA Hospital Annual Survey Statistics and the HCFA Medicare Cost Reports.

AHA Survey Statistics tapes provided information on bedsize, ownership, teaching status, and facilities and services. These data are well known and require no additional elaboration. This leaves the Medicare cost reports, a source much less familiar to the average researcher.

The Medicare cost report (MCR) is completed annually by all Medicare-participating hospitals for purposes of Medicare reimbursement. These detailed statistical and financial reports are audited by Medicare's fiscal intermediaries to assure that the amounts paid to each hospital compensate for services provided to patients covered by the Title V, XVIII, and XIX programs. Reports were collected for approximately 2,500 hospitals annually from 1970 to 1981 as part of the HCFA-funded National Hospital Rate Setting Study, approximately one-half coming from the one-quarter random national sample described above and the other one-half coming from a supplement in 15 rate-setting States. Only data on the one-quarter sample are presented in this article.

From its inception in 1966, the cost report has evolved from a rather simple report of about 10 pages to a much more complicated document of over 40 pages. Needless to say, many problems had to be overcome in acquiring and cleaning such a data series. Flexible coding procedures were required to allow for several levels of aggregation of assets, fund balances, inpatient and outpatient costs, etc. Once the data were computerized, extensive editing, cleaning, and replacement algorithms were undertaken to address such problems as inaccurately reported revenue, utilization, asset, and balance sheet totals, coding and key punching errors, inconsistent aggregation and accounting methods, and completely missing MCR's for a particular hospital.

The abstracting and editing process involved three steps. First, direct supervision by a technically skilled person with a master's degree in business administration was used to assist coders in abstracting the data on the spot. Second, extensive computerized accounting and temporal edits were made to insure that items added up and that they did not jump up and down in meaningless patterns. Third, a visual inspection and hand correction of the remaining outliers for difficult-to-clean data series such as capital investment was undertaken.

To test the quality of data from the Medicare Cost Reports (MCR's), a further comparison was made with data from the AHA's annual survey of hospitals. Comparisons were limited to those variables defined the same way in each of the two sources: total expenses per hospital, total admissions, total discharges, total inpatient days, mean length of stay, average cost per admission, and average cost per inpatient day. Comparisons based on region, urban or rural location, teaching status, ownership, and bed size were made using 1981 unweighted data from the two sources.1

In general, there were no significant differences between the 1981 AHA and MCR values for total expenses, total admissions, total discharges, and average cost per admission. For example, according to the MCR data, hospitals reported, on the average, $17.2 million in total 1981 expenses compared with $17.4 million according to AHA data. The two data sources were also quite similar in costs per admission. When these variables were compared by hospital characteristics, somewhat larger discrepancies occurred, depending on the specific variable and stratifier used. However, the overall consistency of these four variables across data sources suggests that they are reliable estimates.

Comparing MCR and AHA data for total inpatient days revealed greater differences by hospital characteristic. The AHA length-of-stay value of 6.98 days exceeded the MCR value of 6.56 days by 6 percent. Conversely, the MCR value for costs per inpatient day was 6 percent more than the 1981 AHA value. More caution should be applied, therefore, to any per diem comparisons.

Weighting for nonresponse

A complicated, variable-specific weighting scheme was designed to adjust for nonresponse. Data for each variable (over 60 variables in all) were disaggregated into 1,440 cells as follows:

  • 12 years—1970-81.

  • Four regions—Northeast, North Central, South, and West.

  • Three ownership categories—State and local government, proprietary, and private voluntary.

  • Five bed-size categories—less than 50 beds, 50-99, 100-199, 200-399, and 400 beds or more.

  • Teaching status—nonteaching hospitals versus hospitals with any type of medical school affiliation.

Weights were calculated based on the inverse of the ratio of reporting hospitals to the total number of hospitals present in each cell. For any given cell, the weight for each reporting hospital is the same. Data in those cells with high nonresponse rates, therefore, were weighted more heavily.

This weighting method adjusts for nonresponse within bed-size category, but not for bed-size differences in the data themselves. No further weighting is made by hospital bed size, number of admissions, days, or discharges. Each hospital's statistics are treated equally (i.e., unweighted) given the focus is on the hospital as the unit of analysis rather than on the patient.

Adjusting for outpatient activity

When hospital statistics are presented on a per admission or per inpatient day basis, they have been adjusted for outpatient activity. Generally, expenses, revenues, and other cost report data apply both to inpatient and outpatient services, requiring an adjustment in the inpatient utilization statistic for interhospital comparability. The AHA applies a ratio of inpatient to outpatient revenues in making an adjustment for outpatient (OPD) activity, but it treats skilled nursing facility (SNF) days as inpatient equivalents. Ideally, SNF and outpatient activity should be weighted by their unique contribution to marginal costs. To determine such weights, a dynamic cost function was estimated in a first stage, producing marginal costs for SNF and OPD activity. These estimates were then inserted into a second-stage output equation, giving the following adjusted admissions (ADJADMS) and inpatient days (ADJDAYS) expressions:

ADJADMS=ADM(1+SNFID/ADM)0.06303(1+OPV/ADM)0.0298ADJDAYS=IPD(1+SNFID/ADM)0.06303(1+OPV/ADM)0.0298, (1)

Where ADM = raw inpatient admissions, SNFID = hospital-based SNF days, OPV = outpatient clinic visits, and IPD = raw inpatient days. Where SNFID and/or OPV are zero, reported and adjusted figures are assumed identical.

The AHA assumes that four outpatient visits are equivalent to one inpatient day. This is a far higher equivalency than for weights derived from a marginal cost regression, where eight outpatient visits are estimated to be equal to one inpatient day. Using the 4 to 1 relative charges as weights, the AHA measures of unadjusted versus adjusted output imply that outpatient visits alone raise the level of national hospital total output by 13.5 percent. Using weights derived from a short-run cost function, with output adjusted for both outpatient visits and SNF inpatient days, outpatient visits raise output only 6 percent. And although AHA average revenue versus marginal cost-weighted output levels are correlated .98, year-to-year changes in output are correlated only .56, attributable primarily to the much lower weight given to volatile outpatient activity using short-run cost weights.

The effect of adjusting for both SNF and outpatient clinic activity is to lower the per admission and per day cost statistics by raising the denominator wherever SNF or OPD activity is positive. Hospitals showing rapid SNF or OPD visit growth will also exhibit slower cost inflation on an adjusted output basis although not as slow as when the AHA's 4 to 1 inpatient day-outpatient visit ratio is used. A detailed discussion of the derivation of the SNF and OPD adjustment methodology can be found in Appendix A in Coelen, et al. (1985).

Method of tabular presentation

All variables are presented in similar fashion employing the following three-way tables:

  • Urban or rural location by year.

  • Teaching status by year.

  • Ownership by year.

Teaching status is defined by AHA-reported affiliation with a medical school. Ownership is defined as non-Federal private voluntary, public (State, city, and county), or proprietary.

Sample sizes and statistical reliability

There were a total of 1,388 U.S. short-term non-Federal hospitals in the sample in 1970, with 712 hospitals located in urban areas and 676 in rural areas. The total number of sampled hospitals peaked at 1,413 in 1974, falling to 1,329 by 1981. In many instances, however, not all of these hospitals reported a particular item, so the actual number reporting is usually smaller. As a standard practice, where 75 percent (or more) nonreporting exists for a specific cell, an asterisk is shown instead of an estimated value. Where hospitals did not report Medicare admissions, they were excluded from the sample only for the relevant variables.

Because the statistics presented in this article are based on a one-quarter random sample, their reliability must be considered. T-tests of mean differences involving two independent samples from normal populations2 can be calculated using the following formula:

Z=(2)σ21/n1¯x¯1x¯2+σ22/n2 (2)

where the Z statistic's confidence level can be determined from the usual t table, and x̄1, x̄2 = means of the two sample cells, σ21, σ22 = variances of the two samples, and n1 n2 = number of reporting hospitals in the cells. Both the means and standard deviations have been weighted for nonresponse.

To provide the reader with a general feeling for the statistical significance of observed differences, a few Z statistics are calculated from Table 1 for total hospital expenses per adjusted admission.3 For 1981, the mean urban and rural figures were $2,443 and $1,490, respectively, with standard deviations of $1,233 and $618. The Z statistic is 14.4, which is significant at the 99-percent confidence level. Other Z statistics for 1981 include teaching versus nonteaching, t = 9.8; private voluntary versus proprietary, t = 0.2; and the change from 1980 to 1981, t = 3.0.

Table 1. Total hospital expenses per adjusted admission and per adjusted day, and ancillary services as a percent of total expenses, by area, teaching status, and type of hospital: 1970-81.

Area, teaching status, and type of hospital 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 Annual compound growth rate
Expenses per adjusted admission
Total $529 $575 $636 $690 $781 $907 $1,025 $1,166 $1,319 $1,483 $1,742 $1,985 12.0
Urban 644 695 781 848 966 1,116 1,267 1,442 1,619 1,821 2,077 2,443 12.1
Rural 399 443 480 520 580 676 768 869 991 1,118 1,348 1,490 12.0
Nonteaching 500 537 592 625 707 825 936 1,065 1,208 1,357 1,602 1,816 11.7
Teaching 931 1,043 1,175 1,287 1,433 1,626 1,779 1,913 2,106 2,383 2,736 3,158 11.1
Private voluntary 586 622 694 742 837 977 1,110 1,262 1,420 1,587 1,824 2,122 11.7
Proprietary 479 548 589 656 773 898 990 1,141 1,341 1,534 1,852 2,076 13.3
State and local government 428 491 539 604 675 772 871 981 1,105 1,252 1,528 1,668 12.4
Expenses per adjusted day
Total $69 $79 $89 $99 $114 $134 $153 $175 $199 $226 $260 $303 13.5
Urban 80 91 104 115 132 155 176 199 225 254 290 336 13.0
Rural 57 66 73 82 93 112 129 149 172 196 226 266 14.0
Nonteaching 67 76 86 94 107 127 145 168 192 217 250 290 13.3
Teaching 101 115 133 147 170 196 215 227 255 290 335 388 12.2
Private voluntary 73 82 92 101 116 136 156 178 202 228 262 308 13.1
Proprietary 73 84 94 106 124 145 162 191 222 250 289 324 13.5
State and local government 60 71 80 91 105 125 142 161 183 210 243 282 14.1
Ancillary services as percent of total expenses
Total 38.7 39.2 40.3 41.8 43.2 44.2 45.0 46.1 46.7 47.0 NA NA 2.2
Urban 40.3 41.0 41.9 43.1 44.6 45.6 46.0 46.9 47.6 47.9 NA NA 1.9
Rural 37.1 37.4 38.5 40.4 41.8 42.8 43.9 45.2 45.7 46.0 NA NA 2.4
Nonteaching 38.5 38.8 39.9 41.4 42.8 43.9 44.7 45.8 46.4 46.7 NA NA 2.1
Teaching 42.7 44.1 44.8 45.1 46.9 47.7 47.5 48.5 48.9 49.4 NA NA 1.6
Private voluntary 38.8 39.7 40.6 42.1 43.5 44.4 45.3 46.4 47.0 47.4 NA NA 2.2
Proprietary 40.8 40.0 41.5 43.1 44.5 46.4 46.7 47.7 48.7 48.7 NA NA 2.0
State and local government 37.5 37.8 38.8 40.5 42.0 42.9 43.5 44.7 45.2 45.5 NA NA 2.1

NOTES: Data are based on hospital averages not weighted by admissions, days, or bed size. NA is data not available.

SOURCES: Abt Associates, Inc.: National Hospital Rate-Setting Study. Contract No. 500-78-0036. Prepared for the Health Care Financing Administration. Cambridge, Mass.; Health Care Financing Administration, Bureau of Data Management and Strategy: Data from the Medicare cost reports for a 25-percent sample of U.S. short-term non-Federal hospitals.

As a general rule, the more aggregate comparisons (e.g., all urban versus all rural) will more often prove statistically significant. Furthermore, significance levels will vary by variable, depending on the underlying degree of natural variation.

Trends in hospital finances

Expenses

The rapid growth in Medicare hospital outlays can be explained almost entirely by the industry's burgeoning cost structure. Total hospital expenses per adjusted admission grew 12 percent annually from 1970 through 1981 (Table 1). On a per diem basis, the rate was 1 ½ percentage points higher (13.5 percent) because of the falling average length of stay. Ancillary expenses grew considerably faster than routine (16.8 versus 12.3 percent, respectively), so that by 1979 the two accounted for nearly equal shares of hospitals' costs: 47 percent ancillaries; 53 percent routine.

Rapid cost inflation in the 1970's permeated the industry, as evidenced by the similar growth rates across hospital characteristics in expenses per adjusted admission or day. Interestingly, proprietary hospitals exhibited the fastest growth per adjusted admission (13.3 percent), over two points higher than for teaching hospitals. Of course, the latter were twice as expensive at the beginning of the decade. Both teaching and nonteaching hospitals' costs grew more slowly than the national average, the difference was attributable to a rising proportion of expensive teaching hospitals in the sample as nonteaching hospitals closed or merged with teaching institutions.

Although one might have expected Medicare Part A expenses (payments) per admission to rise faster than total costs, such was not the case. According to data in Table 2, between 1970 and 1979, Part A expenses per admission grew 10.5 percent annually, a rate 1 ½ percentage points below the average rate of cost inflation. Nonetheless, even with the slower payment growth per Medicare admission, the industry became increasingly dependent on Medicare reimbursement. By 1979, one of every three of the average hospital's dollars came from the program, up slightly from 30.7 percent in 1970. This is explained by the relatively rapid growth in Medicare admissions, as shown later.

Table 2. Medicare Part A expenses per Medicare admission and as a percent of total expenses, by area, teaching status, and type of hospital: 1970-79.

Area, teaching status, and type of hospital 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 Annual compound growth rate
Part A expenses per Medicare admission
Total $636 $713 $767 $835 $928 $1,065 $1,182 $1,301 $1,450 $1,634 10.5
Urban 800 903 974 1,067 1,194 1,378 1,529 1,680 1,878 2,124 10.8
Rural 475 523 558 591 647 731 820 906 1,013 1,131 9.6
Nonteaching 601 671 721 761 850 976 1,081 1,181 1,310 1,476 10.0
Teaching 1,105 1,248 1,323 1,501 1,611 1,835 2,022 2,182 2,459 2,775 10.2
Private voluntary 702 784 846 904 1,004 1,163 1,311 1,448 1,609 1,806 10.5
Proprietary 598 698 778 875 1,035 1,172 1,253 1,390 1,560 1,798 12.2
State and local government 513 570 598 673 721 815 889 964 1,080 1,214 9.6
Part A expenses as percent of total
Total 30.7 30.5 30.1 30.1 31.2 31.4 32.2 32.5 33.4 34.0 1.1
Urban 27.5 27.2 27.2 27.2 28.7 29.2 30.1 30.8 32.1 32.7 1.9
Rural 33.8 34.0 33.1 33.1 33.8 33.8 34.3 34.2 34.8 35.4 0.5
Nonteaching 31.3 31.3 30.8 30.9 32.0 32.0 32.8 33.1 34.0 34.5 1.1
Teaching 22.0 20.7 20.9 22.5 24.3 25.6 26.8 27.8 29.0 29.9 3.4
Private voluntary 28.9 28.7 28.7 28.8 30.1 30.7 31.5 31.8 32.7 33.4 1.6
Proprietary 31.9 32.8 31.5 31.5 33.0 32.7 32.9 33.3 35.3 34.7 0.9
State and local government 33.9 33.3 32.4 31.9 32.5 32.1 33.3 33.6 33.9 34.8 0.3

NOTE: Data are based on hospital averages not weighted by admissions, days, or bed size.

SOURCES: Abt Associates, Inc.: National Hospital Rate-Setting Study. Contract No. 500-78-0036. Prepared for the Health Care Financing Administration. Cambridge, Mass.; Health Care Financing Administration, Bureau of Data Management and Strategy: Data from the Medicare cost reports for a 25-percent sample of U.S. short-term non-Federal hospitals.

Rural hospitals have always been more dependent on Medicare, although the urban-rural gap narrowed somewhat in the 1970's. At the same time, teaching hospitals, which operate mainly in urban areas, also became much more dependent on Medicare. Over the decade, Medicare's share of expenses in teaching hospitals rose from 22 to 30 percent, a rate far in excess of that in nonteaching hospitals. Finally, even though Medicare patients are often considered unprofitable, proprietary hospitals depended on the program as much as public or private voluntary institutions did throughout the decade, in some cases, even more so.

Revenues

Lines 1 through 8 of Table 3 provide corresponding trends in net patient service revenues per adjusted admission. Net revenues are monies left after bad debts and contractual disallowances are subtracted from gross revenues, and patient-service revenues are charges only for patient care (excluding nonoperating income such as investments, for example). Net patient revenues were not only consistently less than total hospital expenses, they also grew more slowly, 11.4 versus 12.0 percent annually between 1970 and 1979, respectively, on a per admission basis.

Table 3. Hospital net patient service revenues, operating margins, and total margins, by area, teaching status, and type of hospital: 1970-79.

Area, teaching status, and type of hospital 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 Annual compound growth rate
Net patient service revenues per admission
Total $491 $560 $593 $638 $713 $839 $950 $1,077 $1,237 $1,369 11.4
Urban 596 690 731 790 883 1,047 1,183 1,333 1,535 1,690 11.6
Rural 383 425 452 480 533 622 711 811 920 1,034 11.0
Nonteaching 469 532 560 594 662 778 880 993 1,138 1,267 11.0
Teaching 781 905 999 1,051 1,181 1,395 1,594 1,728 1,970 2,123 11.1
Private voluntary 532 617 648 701 785 915 1,047 1,185 1,354 1,499 11.5
Proprietary 500 550 599 648 733 869 980 1,099 1,324 1,487 12.1
State and local government 397 443 474 507 559 669 735 844 960 1,055 10.9
Operating margin
Total −0.50 −0.67 −1.80 −3.14 −3.41 −2.28 −1.62 −1.43 −2.44 −1.79
Urban 0.23 0.63 −0.85 −2.32 −2.34 −1.28 * −0.83 −1.09 −0.64
Rural −1.21 −1.95 −2.73 −3.98 −4.50 −3.28 −2.94 −2.03 −3.78 −2.94
Nonteaching −0.21 −0.44 −1.60 −2.87 −3.29 −1.96 −1.33 −1.06 −2.28 −1.66
Teaching −4.65 −3.70 −4.40 −5.81 −4.53 −5.32 * −4.28 −3.62 −2.84
Private voluntary −0.46 −0.40 −1.48 −2.41 −2.28 −2.06 −0.99 −0.89 −1.64 −1.12
Proprietary 4.01 3.86 3.48 0.18 −0.84 1.72 * * 2.10 3.28
State and local government −3.00 −3.62 −5.25 −6.33 −7.02 −4.72 * * −6.12 −5.47
Total margin
Total 3.33 2.92 2.12 1.43 1.36 1.75 2.44 2.30 2.09 2.54
Urban 3.69 3.43 2.45 1.72 1.72 2.18 2.93 2.62 2.59 2.78
Rural 2.98 2.41 1.79 1.13 0.99 1.32 1.94 1.98 1.59 2.30
Nonteaching 3.45 2.98 2.13 1.43 1.34 1.82 2.45 2.20 2.06 2.58
Teaching 1.61 2.12 1.89 1.46 1.57 1.06 * 3.03 2.36 2.29
Private voluntary 3.47 3.09 2.44 1.79 1.81 1.89 2.69 2.57 2.30 2.72
Proprietary 5.38 5.28 3.51 1.86 1.58 3.04 * * 3.41 4.56
State and local government 1.93 1.31 0.73 0.48 0.34 0.82 0.64 * 1.08 1.27
*

25 percent or less of hospitals reporting in cell.

NOTE: Data are based on hospital averages not weighted by admissions, days, or bed size.

SOURCES: Abt Associates, Inc.: National Hospital Rate-Setting Study. Contract No. 500-78-0036. Prepared for the Health Care Financing Administration. Cambridge, Mass.; Health Care Financing Administration, Bureau of Data Management and Strategy: Data from the Medicare cost reports for a 25-percent sample of U.S. short-term non-Federal hospitals.

Expenses outstripping revenues implies declining financial ratios, as evidenced by the operating and total margin trends in Table 3. Hospital operating margins, defined as net operating income over total patient income, were negative throughout the decade, ranging from a high of −0.50 percent in 1970 to a low of −3.41 percent in 1974. Finances then improved through 1979, but operating margins still averaged − 1.79 percent. Only proprietary hospitals showed positive operating margins during the 1970's, with rural, teaching, and public hospitals losing the most.

Because it is standard operating practice among some hospitals (e.g., city and county) to subsidize operating costs with other revenues, total hospital margins are considered a more meaningful indicator of financial well-being. When all revenues are considered, including those from endowments, public treasuries, and other sources (e.g., real estate), total margins are uniformly positive, ranging from a high of 3.33 percent nationally in 1970 to a low of 1.36 in 1974. Total margin trends thus exhibited a U-shape in the 1970's, falling to a low in 1974, then rising fairly steadily through 1979. Operating margins showed a nearly identical U-shape. Margins on nonoperating revenues clearly remained in a narrow range of 4 percent, plus or minus .5 percent, reflecting the preference of many hospitals to subsidize patient care through nonoperating income.

The margins shown in Table 3 show less positive or negative spread over time than those provided by the AHA (as found in the Federal Register, 1986). This is because the wider range of profitability in smaller hospitals is unweighted in our results versus the weighted ratios presented by the AHA. Nevertheless, the trend of growing profits observed in the 1980's goes back at least to the mid-1970's in both data sets, with some indication from the Medicare cost report data that profit rates were falling prior to 1975.

Figures 1 and 2 provide a frequency distribution of hospital total and operating margins at the beginning and end of the last decade. The normality of the operating margin distribution is striking in both periods, although a definite shift to negative margins occurred over time. In 1970, one in four hospitals had operating margins above 4.5 percent. In 1979, just one in seven were as successful. Most of this shift is reflected in a large reduction in hospitals enjoying 6 percent margins (plus or minus 1.5 percent) and a major increase in large “losers,” i.e., those with losses greater than 15 percent.

Figure 1. Percent of hospitals, by operating margin per hospital: 1970 and 1979.

Figure 1

Figure 2. Percent of hospitals, by total margin per hospital: 1970 and 1979.

Figure 2

Relative to operating margins, total margins exhibited a pronounced left skew, with the vast majority of hospitals in the black. Even with deteriorating operating margins at the end of the decade, 1 of every 6 hospitals had total margins of 7.5 percent or more and 1 of every 12 had margins above 10 percent. Conversely, only 1 of every 5 hospitals had negative total margins, a frequency little changed over 10 years. Ignoring the large group of “breakeven” hospitals with margins plus or minus 1.5 percent, nearly 1 of every 2 hospitals had negative operating margins as late as 1979 and only 1 of every 5 were still negative on a total margin basis.

Trends for two additional financial variables—the current ratio and long-term debtedness—are shown in Table 4. Calculated as the ratio of short-term (current) assets to current liabilities, the current ratio is a standard short-run liquidity indicator that provides “the first clue that something more basic is wrong” (Cleverley, 1978) with the firm's financial status. A ratio of 2.0 is common in other industries. Hospitals continually enjoyed rates far above this threshold, but the ratio fell from 3.67 in 1970 to 2.76 in 1979. Rural and public hospitals exhibited especially high current ratios but became more like urban and private hospitals over time.

Table 4. Hospital current ratio and long-term indebtedness, by area, teaching status, and type of hospital: 1970-79.

Area, teaching status, and type of hospital 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 Annual compound growth rate
Current ratio
Total 3.67 3.70 3.66 3.46 3.31 3.10 3.03 2.97 2.87 2.76 −3.2
Urban 3.06 3.00 2.91 2.77 2.66 2.55 2.56 2.48 2.40 2.29 −3.2
Rural 4.30 4.42 4.43 4.16 3.97 3.62 3.50 3.46 3.31 3.24 −3.1
Nonteaching 3.72 3.76 3.73 3.59 3.40 3.18 3.12 3.06 2.94 2.83 −3.0
Teaching 2.95 2.84 2.84 2.18 2.55 2.34 2.28 2.27 2.37 2.25 −3.0
Private voluntary 3.53 3.52 3.36 3.13 3.04 2.87 2.73 2.67 2.62 2.53 −3.7
Proprietary 2.61 2.87 2.87 3.01 2.56 2.52 2.44 2.42 2.07 2.33 −1.3
State and local government 4.51 4.50 4.70 4.36 4.24 3.86 3.92 3.83 3.71 3.42 −3.1
Long-term indebtedness
Total 13.5 16.0 16.4 17.4 19.0 20.6 21.5 23.1 23.5 25.3 7.0
Urban 17.1 19.8 20.7 23.2 23.3 26.4 27.2 28.7 29.1 31.0 6.6
Rural 10.1 12.0 12.1 11.6 14.7 15.3 15.8 17.4 18.4 19.6 7.4
Nonteaching 13.4 16.1 16.3 17.3 19.2 20.6 21.1 22.8 22.7 24.4 6.7
Teaching 14.8 14.7 16.6 18.2 17.0 20.4 24.7 25.6 29.2 31.7 8.5
Private voluntary 15.4 18.6 18.1 19.3 20.5 22.5 22.8 24.7 25.0 28.3 6.8
Proprietary 16.9 20.9 23.4 25.3 30.0 31.9 35.2 35.6 35.8 34.9 8.1
State and local government 7.9 7.8 9.2 9.5 10.1 10.7 12.1 14.0 15.1 15.2 7.3

NOTE: Data are based on hospital averages not weighted by admissions, days, or bed size.

SOURCES: Abt Associates, Inc.: National Hospital Rate Setting Study. Contract No. 500-78-0036. Prepared for the Health Care Financing Administration. Cambridge, Mass.; Health Care Financing Administration, Bureau of Data Management and Strategy: Data from the Medicare cost reports for a 25-percent sample of U.S. short-term non-Federal hospitals.

Finally, lines 9 through 16 in Table 4 show the growing indebtedness of the industry. In 1970, only 13.5 percent of net total assets were funded through long-term debt. By 1979, the percentage had almost doubled to over 25 percent. Thus, although revenues more or less managed to cover the rapid growth in expenses over the decade, internal capital sources (e.g., donations, Government grants) apparently were insufficient to meet perceived capital formation needs.

Indebtedness rates varied systematically by urban-rural location and ownership. Urban hospitals incurred long-term debt as a percent of net assets at a historically higher rate than rural hospitals did, although the latter were slowly catching up in the 1970's. Public hospitals also took on debt at only one-half the rate of other hospitals, which is explained by their access to public tax monies. Proprietary hospitals were the most indebted by 1979 (35 percent) even though they started the decade at rates similar to those of other private voluntary hospitals.

The frequency distribution of hospitals according to their long-term indebtedness is shown in Figure 3. In 1970, over one-half of all hospitals had little or no debt (less than 5 percent), and only 7 percent were “heavily indebted”—i.e., above 45 percent. By 1979, the distribution had changed radically. Only one of every three hospitals still were debt free, and one of every five could be considered heavily indebted. Interestingly, the proportion of hospitals with modest debt (5-25 percent) changed little over the decade, with most of the change coming at the extremes of the distribution.

Figure 3. Percent of hospitals, by long-term indebtedness: 1970 and 1979.

Figure 3

National trends in hospital utilization

Utilization growth contributed in only a minor way to the observed expense growth, as shown in Tables 5 and 6. Total inpatient admissions per hospital grew only about 2 percent annually; and inpatient days grew only 1.2 percent, as overall length of stay fell a full day from 7.52 to 6.54 days. At most, admissions growth explained only one-sixth (2%/12%) of the 12 percent annual expense growth over the period. Admissions to proprietary hospitals grew over twice as fast (4.6 percent) as the national average, and those to State and local hospitals grew hardly at all (1 percent annually).

Table 5. Number of inpatient admissions, percent Medicare admissions, and number of inpatient days, by area, teaching status, and type of hospital: 1970-81.

Area, teaching status, and type of hospital 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 Annual compound growth rate
Inpatient admissions per hospital
Total 5,196 5,243 5,366 5,564 5,731 5,789 5,902 5,970 6,072 6,274 6,488 6,577 2.1
Urban 7,735 7,757 7,922 8,182 8,392 8,459 8,642 8,759 8,944 9,106 9,457 9,619 2.0
Rural 2,638 2,656 2,724 2,831 2,894 2,940 2,999 3,019 3,044 3,132 3,087 3,138 1.6
Nonteaching 4,376 4,371 4,447 4,360 4,513 4,580 4,614 4,519 4,567 4,729 4,933 5,024 1.3
Teaching 15,398 15,982 16,312 16,305 16,229 16,272 16,542 16,432 16,772 17,085 17,391 17,327 1.1
Private voluntary 6,405 6,524 6,679 6,999 7,246 7,231 7,348 7,443 7,549 7,774 8,013 8,153 2.2
Proprietary 2,815 2,867 3,006 3,127 3,360 3,613 3,990 4,063 4,189 4,387 4,666 4,655 4.6
State and local government 3,878 3,772 3,837 3,893 3,910 3,987 3,936 3,916 3,985 4,132 4,291 4,336 1.0
Percent Medicare admissions
Total 24.9 25.0 25.3 25.8 27.1 27.7 28.8 30.1 31.2 31.7 32.6 34.0 2.8
Urban 21.3 21.4 21.8 22.3 23.6 24.1 25.3 26.9 28.1 28.4 29.6 31.0 3.4
Rural 28.4 28.7 28.9 29.3 30.9 31.5 32.4 33.4 34.5 35.0 36.0 37.3 2.5
Nonteaching 25.4 25.6 25.9 26.5 27.8 28.3 29.5 30.9 32.1 32.5 33.5 35.0 2.9
Teaching 17.6 17.5 18.2 19.2 21.3 22.1 23.0 24.3 25.4 25.6 26.7 27.4 4.0
Private voluntary 23.5 23.3 23.7 24.3 25.7 26.3 27.6 28.8 29.9 30.5 31.6 32.9 3.1
Proprietary 25.2 26.2 25.8 26.1 26.8 27.0 26.9 29.4 31.0 31.4 31.6 33.8 2.7
State and local government 27.8 27.9 28.4 28.6 30.1 30.7 32.0 33.1 34.1 34.1 35.2 36.3 2.4
Inpatient days per hospital
Total 41,199 40,789 41,020 41,836 42,738 42,892 43,529 43,683 43,929 45,180 46,502 47,126 1.2
Urban 63,763 62,722 63,068 64,265 65,508 65,783 66,923 67,387 68,141 69,809 70,896 72,371 1.2
Rural 18,493 18,175 18,193 18,418 18,528 18,499 18,723 18,591 18,533 18,846 18,415 18,626 0.1
Nonteaching 32,922 32,275 32,303 30,798 31,523 31,602 31,725 30,605 30,741 31,699 33,032 33,527 0.2
Teaching 144,499 145,708 144,831 139,560 139,447 140,158 140,941 137,969 138,397 139,738 141,106 141,080 −0.2
Private voluntary 51,905 52,016 52,549 54,131 55,593 55,362 56,081 56,336 56,581 58,189 59,692 60,648 1.4
Proprietary 19,096 19,204 19,643 20,467 21,837 23,316 25,738 26,011 26,842 27,956 29,386 30,009 4.1
State and local government 30,122 28,305 27,940 27,784 27,710 27,660 27,032 26,649 26,590 27,212 28,195 28,343 −0.6

NOTE: Data are based on hospital averages not weighted by admissions, days, or bed size.

SOURCES: Abt Associates, Inc.: National Hospital Rate-Setting Study. Contract No. 500-78-0036. Prepared for the Health Care Financing Administration. Cambridge, Mass.; Health Care Financing Administration, Bureau of Data Management and Strategy: Data from the Medicare cost reports for a 25-percent sample of U.S. short-term non-Federal hospitals.

Table 6. Lengths of stay and occupancy rates, by area, teaching status, and type of hospital, 1970-81.

Area, teaching status, and type of hospital 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 Annual compound growth rate
Length of stay in days
Total 7.52 7.34 7.15 6.98 6.88 6.76 6.72 6.66 6.62 6.57 6.64 6.54 −1.3
Urban 7.91 7.78 7.62 7.49 7.40 7.33 7.32 7.31 7.29 7.25 7.20 7.22 −0.8
Rural 7.12 6.88 6.66 6.44 6.33 6.16 6.08 5.97 5.91 5.85 5.99 5.77 −1.9
Nonteaching 7.38 7.20 7.01 6.79 6.69 6.56 6.52 6.43 6.40 6.35 6.43 6.32 −1.4
Teaching 9.18 9.04 8.84 8.63 8.52 8.48 8.39 8.31 8.22 8.15 8.07 8.05 −1.2
Private voluntary 7.77 7.64 7.48 7.31 7.21 7.11 7.10 7.05 6.99 6.94 6.90 6.91 −1.1
Proprietary 7.05 6.86 6.61 6.55 6.50 6.42 6.30 6.24 6.38 6.34 6.77 6.31 −1.0
State and local government 7.23 6.96 6.75 6.53 6.42 6.24 6.17 6.06 5.99 5.96 6.04 5.90 −1.8
Medicare length of stay in days
Total 11.90 11.53 11.18 11.00 10.75 10.43 10.19 9.85 9.65 9.52 9.45 9.33 −2.2
Urban 12.73 12.38 12.11 11.99 11.79 11.56 11.31 10.96 10.76 10.69 10.58 10.47 −1.8
Rural 11.08 10.67 10.23 9.96 9.63 9.23 9.01 8.71 8.52 8.31 8.17 8.08 −2.9
Nonteaching 11.73 11.34 10.98 10.72 10.45 10.12 9.86 9.50 9.31 9.16 9.11 8.98 −2.4
Teaching 14.25 13.91 13.51 13.53 13.33 13.15 12.86 12.46 12.12 12.08 11.83 11.80 −1.7
Private voluntary 12.50 12.16 11.80 11.57 11.40 11.10 10.91 10.59 10.37 10.20 10.08 10.04 −2.0
Proprietary 10.91 10.61 10.58 10.53 10.26 9.94 9.62 9.27 9.09 9.03 9.25 8.79 −2.0
State and local government 11.13 10.65 10.18 10.09 9.69 9.33 9.01 8.63 8.46 8.38 8.28 8.20 −2.8
Occupancy rate
Total 72 70 68 68 68 66 66 65 65 65 66 66 −0.8
Urban 77 75 73 73 73 72 71 70 70 71 72 73 −0.5
Rural 68 65 64 63 62 61 60 59 59 59 59 59 −1.3
Nonteaching 72 69 67 67 66 65 64 63 63 63 65 64 −1.1
Teaching 82 81 80 80 81 80 79 79 78 78 79 80 −0.2
Private voluntary 75 73 71 72 72 70 70 69 69 69 70 71 −0.5
Proprietary 71 69 67 65 65 63 63 62 61 63 64 63 −1.1
State and local government 68 65 63 63 62 61 60 59 58 59 59 59 −1.3

NOTE: Data are based on hospital averages not weighted by admissions, days, or bed size.

SOURCES: Abt Associates, Inc.: National Hospital Rate-Setting Study. Contract No. 500-78-0036. Prepared for the Health Care Financing Administration. Cambridge, Mass.; Health Care Financing Administration, Bureau of Data Management and Strategy: Data from the Medicare cost reports for a 25-percent sample of U.S. short-term non-Federal hospitals.

Medicare admissions per hospital, in distinct contrast, grew much faster, 5.7 percent annually. In one decade, Medicare's share of the typical hospital's admissions went from one-quarter to one-third (Table 5). This trend extended to all hospital groups, including proprietaries. The growing dependency of teaching hospitals on Medicare admissions is particularly noteworthy. More important, though, was the 2-day decline in Medicare length of stay, which saved several hundred dollars per stay in routine care alone across all hospitals. Nevertheless, as late as 1981, Medicare's average length of stay (9.3 days) was 43 percent longer than that for the hospital as a whole (including Medicare patients).

Total hospital days grew very slowly between 1970 and 1981 because of shorter stays (Table 5). At the same time, average bed size grew (Table 7), putting additional downward pressure on occupancy rates. By 1981, the (unweighted) hospital occupancy rate had fallen to 66 percent from a high of 72 percent in 1970 (Table 6). On a typical day at the end of 1970's, one of every three short-term hospital beds went unused. After levelling off in 1978, this downward trend in capacity utilization accelerated once again in the 1980's with the introduction of Medicare's prospective payment system. By 1984, the rate was below 64 percent (American Hospital Association, 1985).

Table 7. Number of hospital beds and net total fixed assets by area, teaching status, and type of hospital: 1970-81.

Area, teaching status, and type of hospital 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 Annual compound growth rate
Number of beds
Total 146 148 151 155 158 161 164 168 170 173 173 176 1.7
Urban 217 218 222 226 230 236 240 246 251 254 252 255 1.5
Rural 72 74 75 77 79 79 80 81 83 83 81 85 1.5
Nonteaching 120 119 122 118 121 124 124 124 126 128 128 131 0.8
Teaching 470 492 491 483 481 487 490 486 489 492 491 494 0.5
Private voluntary 181 183 188 194 199 202 204 209 212 215 214 219 1.7
Proprietary 72 74 75 86 91 99 107 110 113 119 119 121 4.7
State and local government 112 111 113 111 111 112 111 112 112 114 115 117 0.4
Net total fixed assets per hospital in undeflated dollars
Total NA $3,099 $3,404 $3,815 $4,201 $4,781 $5,545 $6,402 $6,963 $7,343 NA NA 10.8
Urban NA 4,921 5,411 6,107 6,743 7,742 9,043 10,461 11,462 12,130 NA NA 11.3
Rural NA 1,242 1,375 1,458 1,602 1,751 1,950 2,232 2,448 2,755 NA NA 10.0
Nonteaching NA 2,269 2,564 2,624 2,877 3,348 3,619 3,958 4,510 4,783 NA NA 9.3
Teaching NA 13,286 13,502 15,100 16,333 17,949 21,857 24,437 24,780 26,279 NA NA 8.5
Private voluntary NA 4,128 4,500 5,103 5,635 6,548 7,262 8,209 9,019 9,849 NA NA 10.9
Proprietary NA 694 1,123 1,438 1,767 2,068 2,422 2,667 2,983 3,448 NA NA 20.0
State and local government NA 2,157 2,260 2,410 2,574 2,602 3,638 4,521 4,623 4,093 NA NA 8.0
Net total fixed assets per adjusted admission in undeflated dollars
Total NA $486 $526 $539 $591 $664 $722 $791 $860 $937 NA NA 8.2
Urban NA 548 603 621 684 786 852 929 1,014 1,087 NA NA 8.6
Rural NA 414 441 446 484 526 576 639 694 780 NA NA 7.9
Nonteaching NA 462 506 509 558 626 668 717 788 864 NA NA 7.8
Teaching NA 777 770 811 880 1,001 1,176 1,326 1,382 1,457 NA NA 7.9
Private voluntary NA 556 596 610 665 761 833 890 962 1,037 NA NA 7.8
Proprietary NA 236 292 325 395 447 470 520 589 713 NA NA 13.8
State and local government NA 451 494 502 538 572 614 715 776 831 NA NA 7.6

NOTES: Data are based on hospital averages not weighted by admissions, days, or bed size. NA is data not available.

SOURCES: Abt Associates, Inc.: National Hospital Rate-Setting Study. Contract No. 500-78-0036. Prepared for the Health Care Financing Administration. Cambridge, Mass.; Health Care Financing Administration, Bureau of Data Management and Strategy: Data from the Medicare cost reports for a 25-percent sample of U.S. short-term non-Federal hospitals.

Trends in hospital capital formation

Hospital growth is shown in yet another way, by the beds, buildings, and equipment employed (Tables 7 and 8). Hospital bed size grew steadily over 1970-81 from 146 to 176 beds, an addition of 30 beds per hospital on the average. A detailed bed-size breakdown can be found in Cromwell, et al., 1986. Although significant in itself, the book value of undeflated net fixed assets, net of accumulated depreciation, grew many times faster. In 1971, the first year fixed asset data were collected in the study, the average hospital reported slightly over $3 million in net buildings, land, and fixed and movable equipment. By 1979, the figure had more than doubled to $7,343,000. After factoring out the growth in bed size (values not shown), net fixed capital per bed almost exactly doubled from $17,367 to $35,440, a compound growth of nearly 9 percent annually. On a per admission basis, see bottom of Table 7, the rate of growth was only slightly lower (8.2 percent annually).

Table 8. Changes in hospital net total fixed assets and gross movable equipment and depreciation rates, by area, teaching status, and type of hospital: 1971-79.

Area, teaching status, and type of hospital 1971 1972 1973 1974 1975 1976 1977 1978 1979 9-year total Annual compound growth rate
Change in net total fixed assets per hospital in deflated dollars
Total $134 $300 $281 $275 $303 $467 $374 $267 $263 $2,664
Urban 211 494 483 423 525 801 608 429 361 4,335
Rural 57 103 74 121 79 124 135 103 170 966
Nonteaching 71 247 202 220 180 225 183 192 254 1,774
Teaching 935 937 1,034 774 1,440 2,569 1,791 807 329 10,616
Private voluntary 199 341 381 347 446 487 465 323 545 3,534
Proprietary 60 271 226 306 131 30 60 211 108 1,403
State and local government 37 228 108 114 104 639 341 179 −230 1,520
Change in movable equipment per hospital in deflated dollars
Total $66 $108 $122 $133 $121 $174 $188 $193 $150 $1,255
Urban 109 154 209 214 215 289 325 329 238 2,082
Rural 24 65 38 51 27 60 52 58 61 436
Nonteaching 62 94 58 96 68 105 126 121 109 839
Teaching 121 273 732 477 626 781 651 733 453 4,847
Private voluntary 91 125 168 185 170 252 242 259 201 1,693
Proprietary 55 69 71 63 58 56 53 110 66 601
State and local government 17 91 53 60 52 74 143 98 82 670
Depreciation rate
Total 32.0 32.1 32.0 32.1 32.7 32.9 33.7 35.0 34.9 1.1
Urban 30.9 30.7 30.4 30.5 30.4 31.2 32.4 34.4 34.1 1.2
Rural 33.0 33.4 33.3 33.5 34.6 34.5 34.9 35.7 35.7 1.0
Nonteaching 31.9 32.1 31.8 31.8 32.5 32.8 33.7 34.7 35.3 1.3
Teaching 34.0 32.1 33.2 35.7 34.4 33.8 33.3 37.9 32.0 −0.8
Private voluntary 32.0 32.7 32.5 33.1 33.0 33.2 33.8 34.8 34.4 0.9
Proprietary 34.7 32.1 29.5 27.6 29.7 29.1 34.2 34.8 36.5 0.6
State and local government 30.7 30.9 32.1 32.5 33.6 34.3 33.2 35.7 35.3 1.7

NOTE: Data are based on hospital averages not weighted by admissions, days, or bed size.

SOURCES: Abt Associates, Inc.: National Hospital Rate-Setting Study. Contract No. 500-78-0036. Prepared for the Health Care Financing Administration. Cambridge, Mass.; Health Care Financing Administration, Bureau of Data Management and Strategy: Data from the Medicare cost reports for a 25-percent sample of U.S. short-term non-Federal hospitals.

The frequency distribution of net total fixed assets per hospital in constant 1969 dollars is shown in Figure 4.4 The bars for 1979 show the distribution at the end of the decade, factoring out the inflation in construction and equipment costs, making the 1971 and 1979 figures comparable in real terms. Only 1 of every 25 hospitals (4 percent) had real net assets of over $13.5 million in 1971. By 1979, this frequency had risen to one of every seven (14 percent). This increase occurred in essentially all but the very small hospitals.

Figure 4. Percent of hospitals, by net total fixed assets per hospital: 1971 and 1979.

Figure 4

Deflating the change in net fixed assets provides a rough measure of real capital formation on an annual basis (Table 8). Capital formation in the hospital industry peaked in the mid-1970's at $467,000 per hospital (in 1969 dollars), then fell back to rates observed at the beginning of the decade. If the 1971 nominal fixed asset figure of $3 million is taken as the base, then the price-adjusted real capital formation rates range between 4.3 (1971) and 10.6 (1976) percent of the base, itself adjusted upwards annually only for real capital additions. These are relatively high investment rates compared with other U.S. industries and are indicative of the major expansion in the sector over the last 10-15 years.

Rates of real capital formation varied significantly across the years, as well as by hospital location, teaching status, and ownership. Teaching hospitals invested roughly six times as much annually as nonteaching hospitals, and urban hospitals invested about four times as much as their rural counterparts. The typical short-term hospital added $2.66 million in real plant and equipment between 1971 and 1979. This varied from teaching hospitals, which invested over $10 million, to the small rural hospitals, which added less than $1 million. Proprietaries and public hospitals each invested about $1.5 million in real terms over the decade.

The 9-year gross investment in real movable equipment was $1.26 million, or $139,000 annually per hospital. The rate peaked in 1978 at $193,000 per hospital (in 1969 dollars). Teaching hospitals in that year averaged $733,000 in new equipment compared with only $58,000 among rural hospitals. When cumulated over the entire 1971-79 period, the average teaching hospital purchased nearly $5 million in new equipment versus less than $1 million for those without a teaching affiliation. The typical rural hospital spent only $436,000 over the entire decade for equipment, which is only 60 percent of what the average teaching hospital spent in 1978 alone. The typical proprietary and public hospital spent roughly $600,000 each on equipment over the 1970's, which was only about one-third the rate for private voluntary hospitals.

With such high rates of real capital formation, it is not surprising that the average age of hospital capital remained relatively constant. This is indicated by the last eight lines of Table 8 that show the average percent of building and fixed equipment assets that had been depreciated on the hospitals' books. (Movable equipment has been removed because of its far shorter economic lifetime.) The national figures fall in the narrow range of 32-35 percent, implying that roughly one-third of the useful building lifetime had been depreciated, or 8-10 years on a 25- 30-year base. Only a slight aging in the stock is observed in 9 years, regardless of location or ownership.

Hospital employees and salaries

Labor input also grew significantly during the 1970's (Table 9). The number of full-time equivalent (FTE) employees per 100 admissions went from 5.28 in 1970 to 6.68 in 1981, a 2.1 annual percent change. This amounts to a 27-percent increase in the labor-output ratio in just 11 years. Teaching hospitals used roughly 50 percent more labor per admission in 1970 than nonteaching hospitals, but this gap narrowed to 40 percent by 1981. The labor-per-admission ratio grew fastest among proprietary hospitals (2.8 percent annually), although their 5.9 FTE's were still the lowest of any hospital group by 1981.

Table 9. Number of hospital full-time equivalent (FTE) employees and salary expenses, by area, teaching status, and type of hospital: 1970-81.

Area, teaching status, and type of hospital 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 Annual compound growth rate
FTE employees per 100 admissions
Total 5.28 5.19 5.38 5.35 5.48 5.61 5.70 5.87 5.96 6.10 6.16 6.68 2.1
Urban 5.72 5.72 5.90 5.91 6.04 6.21 6.31 6.55 6.67 6.74 6.79 7.20 2.1
Rural 4.81 4.64 4.82 4.75 4.86 4.97 5.04 5.12 5.20 5.40 5.44 6.09 2.1
Nonteaching 5.07 4.96 5.14 5.05 5.17 5.30 5.37 5.53 5.62 5.77 5.81 6.37 2.1
Teaching 7.90 7.97 8.13 7.97 8.09 8.23 8.40 8.28 8.39 8.37 8.62 8.84 1.0
Private voluntary 5.58 5.49 5.65 5.58 5.71 5.86 5.96 6.18 6.30 6.46 6.51 7.12 2.2
Proprietary 4.36 4.30 4.40 4.50 4.73 4.80 4.93 5.04 5.15 5.38 5.39 5.92 2.8
State and local government 5.13 5.03 5.33 5.32 5.39 5.51 5.57 5.62 5.64 5.71 5.80 6.18 1.7
Salary expenses per FTE
Total $5,389 $5,811 $6,204 $6,495 $6,940 $7,654 $8,251 $8,913 $9,721 $10,542 NA NA 7.5
Urban 6,023 6,479 6,976 7,290 7,842 8,665 9,255 10,031 10,925 11,718 NA NA 7.4
Rural 4,680 5,081 5,369 5,630 5,966 6,562 7,185 7,707 8,405 9,234 NA NA 7.6
Nonteaching 5,304 5,694 6,060 6,271 6,710 7,426 7,964 8,595 9,354 10,150 NA NA 7.2
Teaching 6,557 7,297 7,963 8,538 8,958 9,732 10,703 11,236 12,383 13,395 NA NA 7.9
Private voluntary 5,538 5,992 6,485 6,745 7,212 7,976 8,618 9,330 10,234 11,022 NA NA 7.6
Proprietary 5,865 6,156 6,483 6,788 7,421 8,224 8,460 9,045 9,643 10,660 NA NA 6.6
State and local government 4,799 5,248 5,465 5,850 6,155 6,715 7,409 8,007 8,732 9,528 NA NA 7.6
Salary expenses per adjusted admission
Total $296 $326 $352 $368 $402 $449 $497 $556 $623 $693 NA NA 9.5
Urban 353 395 437 454 499 553 613 691 767 849 NA NA 9.8
Rural 232 250 260 275 299 338 375 414 468 525 NA NA 9.1
Nonteaching 277 302 324 328 357 405 445 497 558 623 NA NA 9.0
Teaching 553 632 685 736 796 857 939 992 1,098 1,202 NA NA 8.6
Private voluntary 325 357 392 402 438 501 551 615 690 768 NA NA 9.6
Proprietary 252 278 290 310 351 381 412 461 526 598 NA NA 9.6
State and local government 254 284 299 329 355 380 429 482 532 588 NA NA 9.3

NOTES: Data are based on hospital averages not weighted by admissions, days, or bed size. NA is data not available.

SOURCES: Abt Associates, Inc.: National Hospital Rate-Setting Study. Contract No. 500-78-0036. Prepared for the Health Care Financing Administration. Cambridge, Mass.; Health Care Financing Administration, Bureau of Data Management and Strategy: Data from the Medicare cost reports for a 25-percent sample of U.S. short-term non-Federal hospitals.

Salary expenses per FTE practically doubled over the 1970-79 period. Moreover, salary expenses per adjusted inpatient admission grew steadily from $296 in 1970 to $693 in 1979, an annual compound rate of growth of 9.5 percent. The more expensive mix of personnel in teaching hospitals is reflected in an average salary 34 percent above that in nonteaching hospitals, although the decadal inflation in salaries was very similar in both hospital types.

Discussion

As the data clearly indicate, the 1970's witnessed a major transformation of the hospital industry, primarily in response to expanding insurance coverage: not that admissions or inpatient days grew that fast with broader insurance, only 1-2 percent per year. Rather, intensity of care per admission mushroomed under the highly favorable climate of cost-based payment. Expenses per day grew a remarkable 13.5 percent per year, led by ancillary services that became almost one-half of all costs.

Such inflation over so short a time had profound effects on the ability of private citizens to purchase hospital services on their own. A day in the typical hospital, which cost only $70 in 1970, rose to $300 just 11 years later, and an entire admission averaged nearly $2,000. Care in a teaching hospital became even more unaffordable (over $3,000 per admission) without extensive insurance coverage.

Operating for the most part in a cost pass-through regime, the industry's labor-output ratio grew a steady 2 percent yearly; while at the same time, the capital-output ratio grew several times faster. The average hospital added over $2.5 million to its real assets on a base of just $3 million to begin the decade. At the extreme, teaching hospitals added over $10 million on a base of $13 million.

Huge labor and capital needs had pronounced effects on the industry's operating and financial performance. Profit rates fell during the early 1970's as revenues lagged behind intensity growth, and indebtedness doubled to support the rapid bed expansion or renovation and even higher rates of equipment investment. Occupancy rates fell as beds outpaced utilization growth that never reached expected levels because of shorter stays.

Essentially all types of hospitals participated in this transformation: rural hospitals, teaching hospitals, public, and private hospitals. Indeed, with a few important exceptions, such as the continually positive profit rates of proprietaries and the low indebtedness of publics, the similarity among hospitals is striking. All became far more intensive, all invested large sums in new buildings and equipment, and all hired many new employees to service patients and manage a much larger organization.

Proprietary hospitals were exceptional only in their aggressivity. Whereas average bed size grew 20 percent in 11 years, proprietary bed size grew 70 percent. Whereas the typical hospital added 85 percent to its real capital stocks, the average proprietary added 200 percent. Consequently, proprietaries surpassed public hospitals in size over the decade (although still only one-half the size of private voluntaries). Most of this expansion was justified, however, by utilization growth 2-3 times above average.

Thus, at the turn of the 1980's, Federal, State, and local policymakers had a very different industry to contend with, one that had become “big business” in local communities in terms of jobs, construction, and purchasing. Its cost structure had put its services beyond the means of uninsured individuals and made it almost totally dependent on third-party payers—and especially Medicare. Its bottom-line financial picture was definitely on the upswing, in no small part a result of growing sources of nonpatient care income.

A few disturbing vestiges of this transformation remained, however. For example, only two out of every three beds were in use on a typical day; and for rural and public hospitals, capacity utilization was even lower and falling rapidly. Lengths of stay varied systematically across large regions and hospitals in ways unexplained by epidemiological factors. Finally, huge investments in beds and equipment incurred in the 1960's and 1970's were coming up for renewal in the 1980's, necessitating even greater indebtedness and another round of cost passthroughs.

Simple, painless solutions were not obvious. Controlling economy-wide inflation would help, but at no point during the 1970's was it the driving force behind the industry's escalating costs. Depressed utilization among rural and public hospitals indicated the need for more closures and mergers, but which hospitals? Hospital planning had been more effective in keeping local institutions open than in making the tough choices of which to close. And the drastic differences in cost structures across hospitals pointed to waste and inefficient operations, but how could one distinguish slack from legitimate differences in area wages and case-mix severity?

Two approaches gained favor in the 1980's, both emanating from earlier cost control efforts. In the 1960's and 1970's, the health maintenance organization movement, with its capitated payment arrangement, had already proven its effectiveness in reducing costly inpatient admissions in a younger, working population (Luft, 1981). Whether it will have continued success on older, less well populations remains unknown. The novel Medicare prospective payment system, with its fixed payment per admission, also had empirical support from the many State rate-setting programs implemented in the previous decade (Coelen and Sullivan, 1981; Morrisey et al., 1982; Biles, et al., 1980). Prospective payment per admission or per day was found effective in reining burgeoning intensity and in trimming waste in costly hospitals.

How well the new, very intensive and financially mature hospital industry of the 1980's will respond to the simultaneous pressures of fewer admissions and less intensive care is the policy question of the 1980's and 1990's. Extending Medicare and Medicaid coverage to millions of Americans played a signal role in altering the mode of inpatient care, not to mention the way in which we all think and use our local hospitals. Services that were uncovered on an outpatient basis were covered if one was lying in an expensive hospital bed. Ironically, the predictable response of the industry to carte blanche insurance coverage has led, in a very short time, to yet another rethinking of the hospital's role, one which focuses even more than in the past on truly acute, expeditious care for all illnesses for all patients with a greater emphasis on outpatient care of all kinds.

Acknowledgments

We would like to thank Richard Yaffe and Michael Fitzmaurice, Project Officers at the Health Care Financing Administration, for their comments and support.

Footnotes

This article was prepared as part of the National Hospital Rate-Setting Study under HCFA Contract No. 500-78-0036. Any opinions expressed are solely those of the authors and should not be ascribed to the Health Care Financing Administration.

Reprint requests: Jerry Cromwell, Ph.D., President, Center for Health Economics Research, Inc., 75 Second Avenue, Needham, Massachusetts 02194.

1

A detailed discussion (including tables) is presented in Cromwell, et al., 1986, Appendix B, volume II.

2

Many of the distributions are not strictly normal, so that any statistical inferences ought to be made with caution.

3

The variances and cell sizes necessary to calculate individual significance tests can be found in Cromwell et al. (1986).

4

Over the 1969-79 period, construction prices rose 14.4 percent, and the professional and scientific equipment index rose 73 percent.

References

  1. American Hospital Association. Hospital Statistics, 1985 Edition. Chicago: AHA Publications; 1985. [Google Scholar]
  2. Biles B, Shramm C, Atkinson J. Hospital cost inflation under State rate-setting programs. The New England Journal of Medicine. 1980 Sept.303(12):664–668. doi: 10.1056/NEJM198009183031203. [DOI] [PubMed] [Google Scholar]
  3. Cleverley W. Essentials of Hospital Finance. Germantown, Md.: Aspen Systems; 1978. [Google Scholar]
  4. Coelen C, Sullivan D. Health Care Financing Review. No. 3. Vol. 2. Washington: U.S. Government Printing Office; Winter. 1981. An analysis of the effects of prospective reimbursement programs on hospital expenditures. HCFA Pub. No. 03090. Office of Research, Demonstrations, and Statistics, Health Care Financing Administration. [PMC free article] [PubMed] [Google Scholar]
  5. Coelen C, Mennemeyer S, Kidder D. Effects of Prospective Reimbursement Programs on Hospital Revenue, Expense and Financial Status. I and II. Cambridge, Mass.: May, 1985. Final Report Contract No. 500-78-0036. Prepared for Health Care Financing Administration. [Google Scholar]
  6. Cromwell J, Hewes H, Kelly N, Franklin S. Comparative Trends in Hospital Expenses, Finances, Utilization, and Inputs over the 1970-81 Period. Needham, Mass.: Jul, 1986. Final Report Contract No. 500-78-0036. Prepared for Health Care Financing Administration. [PMC free article] [PubMed] [Google Scholar]
  7. Department of Health and Human Services. The 1985 Annual Report to Congress: The Impact of the Medicare Hospital Prospective Payment System. 1986. [Google Scholar]
  8. Federal Register: Medicare program; changes in inpatient hospital prospective payment system and fiscal year 1987 rates. Washington: U.S. Government Printing Office; Jun 3, 1986. Proposed Rule Part IV, Department of Health and Human Services, HCFA, 42 CFR Parts 405 and 412. Office of the Federal Register, National Archives and Records Administration. [PubMed] [Google Scholar]
  9. Freeland M, Schendler C. Health Care Financing Review. No. 3. Vol. 2. Washington: U.S. Government Printing Office; Winter. 1981. National health expenditures: Short-term outlook and long-term projections. HCFA Pub. No. 03090. Office of Research, Demonstrations and Statistics, Health Care Financing Administration. [PMC free article] [PubMed] [Google Scholar]
  10. Luft HS. Health Maintenance Organizations: Dimensions of Performance. New York: Wiley-Interscience; 1981. [Google Scholar]
  11. Morrisey M, Sloan F, Mitchell S. State rate-setting: An analysis of some unresolved issues. Health Affairs. 1982 Summer;2(2):84–98. doi: 10.1377/hlthaff.2.2.36. [DOI] [PubMed] [Google Scholar]
  12. Muse D, Sawyer D. The Medicare and Medicaid Data Book, 1981. Washington: U.S. Government Printing Office; 1982. Health Care Financing Program Statistics. HCFA Pub. No. 03156. Office of Research and Demonstrations, Health Care Financing Administration. [Google Scholar]

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