STATISTICAL BRIEF #144
Anne Pfuntner, Lauren M. Wier, M.P.H., and Anne Elixhauser, Ph.D.
Inpatient hospital care is a significant component of the healthcare system, accounting for nearly one-third of healthcare expenditures in the United States in 2009.1 The demand for hospital care is expected to increase simply based on an overall increase in population. Demographic changes in the population also may have an impact on inpatient admissions. For example, the aging baby boom generation may increase the demand for hospital care, since older individuals require hospitalization more frequently.2 Additionally, the health condition of Americans has been deteriorating, with nearly one-third of U.S. adults being obese and nearly half of adults having a chronic illness, including heart disease and diabetes.3 However, increased use of chronic disease management programs, a shift to outpatient procedures, and efforts to reduce unnecessary hospitalizations may offset other factors driving the demand for inpatient hospital care.
This Statistical Brief presents data from the Healthcare Cost and Utilization Project (HCUP) on characteristics of stays in community hospitals in the United States in 2010. The number and distribution of stays in 2010 are stratified by primary payer and patient discharge status. Changes between 1997 and 2010 are also presented. All differences between estimates noted in the text are statistically significant at the .001 level or better.
Overall characteristics of stays in U.S. hospitals, 1997-2010
Table 1 shows characteristics of stays in U.S. community hospitals in 1997 and 2010. The total number of hospital stays increased 12 percent, from 34.7 million in 1997 to 39 million in 2010, but the rate of hospitalization remained stable at roughly 1,260-1,270 stays per 10,000 population. The average length of stay decreased 5 percent from 4.9 days in 1997 to 4.7 days in 2010.
The national distribution of discharges by hospital location (metropolitan versus non-metropolitan) and hospital ownership remained unchanged between 1997 and 2010. Most stays (87 percent; not significantly different from the 1997 value) occurred in metropolitan hospitals and nearly three-quarters of stays occurred in private not-for-profit hospitals. Nearly half of stays (48 percent) occurred in teaching hospitals in 2010, an increase from 41 percent in 1997.
Aggregate hospital costs—the actual expenses incurred for producing services—were $375.9 billion in 2010; this was a 62 percent increase since 1997. Costs per stay increased 45 percent to $9,700 in 2010. Charges per stay—what hospitals bill patients for their rooms, nursing care, diagnostic tests, procedures, and other services—more than doubled between 1997 and 2010 to $33,100. All costs and charges are adjusted for inflation.
|Table 1. Characteristics of U.S. community hospitals, 1997 and 2010|
|Utilization, charges, and costs||1997||2010|
|Total stays in millions||34.7||39.0|
|Number of stays per 10,000 population||1,272||1,261|
|Total days of care in millions||169.4||181.7|
|Average length of stay in days||4.9||4.7|
|Percentage of discharges from:|
|Non-Federal government hospitals||14%||14%|
|Private not-for-profit hospitals||73%||72%|
|Private for-profit hospitals||13%||13%|
|Charges and costs*|
|Average charges per stay||$14,800||$33,100|
|Average costs per stay||$6,700||$9,700|
|Total aggregate costs in billions||$232.3||$375.9|
* Charges per stay, costs per stay, and aggregate costs in 1997 are inflation-adjusted to 2010 dollars.
Source: AHRQ, Center for Delivery, Organization, and Markets, Healthcare Cost and Utilization Project, Nationwide Inpatient Sample, 1997 and 2010
Hospital stays by expected primary payer, 1997-2010
In 2010, more than half of stays (58 percent) were billed to Medicare and Medicaid (figure 1). Although the percentage of stays billed to Medicare remained stable (36-37 percent) between 1997 and 2010, the percentage billed to Medicaid increased from 16 percent to 21 percent. Private insurance was the second most common primary payer but its share of stays fell from 39 percent in 1997 to 32 percent of stays in 2010. The share of uninsured stays and stays billed to other payers remained stable between 1997 and 2010.
Figure 1. Number and distribution of hospital stays by expected primary payer, 1997-2010. Stacked column chart; number of stays in millions in the years 1997, 2003, and 2010. In 1997, by expected primary payer: Percentage of stays by payer from total number of 34.7 million; Other 4%, Uninsured 5%, Private insurance 39%, Medicaid 16%, Medicare 36%. In 2003, by expected primary payer: Percentage of stays by payer from total number of 38.2 million; Other 3%, Uninsured 5%, Private insurance 37%, Medicaid 18%, Medicare 37%. In 2010, by expected primary payer: Percentage of stays by payer from total number of 39.0 million; Other 3%, Uninsured 6%, Private insurance 32%, Medicaid 21%, Medicare 37%. Note: Bar segments representing 4 percent or less are not labeled. Source: AHRQ, Center for Delivery, Organization, and Markets, Healthcare Cost and Utilization Project, Nationwide Inpatient Sample, 1997, 2003, and 2010.
The number of stays with Medicaid as the primary payer experienced the most rapid growth (47 percent) between 1997 and 2010—nearly four times the rate of all stays (figure 2). Although it accounted for a small and stable share of all stays between 1997 and 2010 (5-6 percent of stays), the number of uninsured stays increased 40 percent during this period, which was more than three times the rate of all stays. Medicare stays increased 15 percent since 1997; the number of stays billed to private insurance and other payers remained relatively stable.
Figure 2. Change in the number of hospital stays by expected primary payer 1997-2010. Bar chart, percentage change, Medicaid 47%, Uninsured 40%, Medicare 15%, All stays 12%, Other 4%, Private insurance -7%. Source: AHRQ, Center for Delivery, Organization, and Markets, Healthcare Cost and Utilization Project, Nationwide Inpatient Sample, 1997 and 2010.
Hospital stays by discharge status, 1997-2010
Nearly three-quarters of all hospital stays were routinely discharged in 2010 (figure 3). Discharge to follow-on care was also common: discharge to long-term care accounted for 13 percent of stays, and discharge to the home with home healthcare accounted for 11 percent of stays. The remaining circumstances—discharge to another short-term hospital; in-hospital deaths; and discharge against medical advice, which occurs when patients check themselves out of the hospital against the advice of their physician—each accounted for 2 percent or less of stays.
Figure 3. Distribution of hospital stays by discharge status, 2010. Pie chart, total of 39.0 million stays, Routine 71%, Long-term care and other facilities 13%, Home healthcare 11%, Another short-term hospital 2%, In-hospital deaths 2%, Against medical advice 1%, Source: AHRQ, Center for Delivery, Organization, and Markets, Healthcare Cost and Utilization Project, Nationwide Inpatient Sample, 2010.
The number of stays discharged to follow-on care increased between 1997 and 2010: discharge to home healthcare increased 79 percent and discharge to long-term care increased 37 percent (figure 4). Although discharges against medical advice accounted for only 1 percent of all stays, they increased 47 percent between 1997 and 2010. In-hospital deaths, which were also a small share of all stays (2 percent), decreased 13 percent during this period.
Figure 4. Change in the number of hospital stays by discharge status, 1997-2010. Bar chart; percentage change, In-hospital deaths -13%, Another short-term hospital -1%, Routine 4%, All stays 12%, Long-term care and other facilities 37%, Against medical advice 47%, Home healthcare 79%. Source: AHRQ, Center for Delivery, Organization, and Markets, Healthcare Cost and Utilization Project, Nationwide Inpatient Sample, 1997 and 2010.
In 2010, the most common payer for patients discharged against medical advice was Medicaid (32 percent of stays), but Medicaid was the third most common payer for all other stays (21 percent of stays) (figure 5). Uninsured stays accounted for 20 percent of discharges against medical advice, which was more than three times the uninsured share of all other stays (6 percent). Together, Medicaid and uninsured stays accounted for over half of discharges against medical advice (52 percent), but only about one-quarter of stays with other types of discharges (27 percent).
Medicare was the second most common primary payer for discharges against medical advice (28 percent of stays) but the most common primary payer for all other stays (37 percent of stays). Private insurance was the fourth most common payer for discharges against medical advice (16 percent of stays) but the second most common primary payer for all other stays (32 percent of stays).
Figure 5. Distribution of discharges against medical advice and all other hospital stays by payer, 2010. Stacked bar chart; Discharges against medical advice 28%, Medicare 32%, Medicaid 16%, Private insurance 20%, Uninsured 4% Other. All other stays - 37% Medicare 21%, Medicaid 32%, Private insurance 6%, Uninsured 3% Other. Source: AHRQ, Center for Delivery, Organization, and Markets, Healthcare Cost and Utilization Project, Nationwide Inpatient Sample, 2010.
The estimates in this Statistical Brief are based upon data from the HCUP 2010 NIS. Historical data were drawn from the 1997 NIS and the 2003 NIS. Supplemental sources included data on national population estimates from "Intercensal Estimates of the Resident Population by Single Year of Age, Sex, Race, and Hispanic Origin for the United States: April 1, 2000 to July 1, 2010," Population Division, U.S. Census Bureau, Release date: September 2011. (https://www.census.gov/data/datasets/time-series/demo/popest/intercensal-2000-2010-national.html).
Supplemental sources also included data on national population estimates from "Intercensal Estimates of the United States Resident Population by Age and Sex, 1990-2000: Selected Months," Population Division, U.S. Census Bureau, Release date: August 2004. (https://www.census.gov/data/datasets/time-series/demo/popest/intercensal-1990-2000-national.html).
Many hypothesis tests were conducted for this Statistical Brief. Thus, to decrease the number of false-positive results, we reduced the significance level to .001 for individual tests.
Types of hospitals included in HCUP
HCUP is based on data from community hospitals, defined as short-term, non-Federal, general and other hospitals, excluding hospital units of other institutions (e.g., prisons). HCUP data include obstetrics and gynecology, otolaryngology, orthopedic, cancer, pediatric, public, and academic medical hospitals. Excluded are long-term care, rehabilitation, psychiatric, and alcoholism and chemical dependency hospitals. However, if a patient received long-term care, rehabilitation, or treatment for psychiatric or chemical dependency conditions in a community hospital, the discharge record for that stay will be included in the NIS.
Unit of analysis
The unit of analysis is the hospital discharge (i.e., the hospital stay), not a person or patient. This means that a person who is admitted to the hospital multiple times in one year will be counted each time as a separate "discharge" from the hospital.
Costs and charges
Total hospital charges were converted to costs using HCUP Cost-to-Charge Ratios based on hospital accounting reports from the Centers for Medicare & Medicaid Services (CMS).4 The 2010 costs reported here were developed using interim cost-to-charge ratios because the 2010 CMS hospital accounting reports were not available when this analysis occurred. Therefore, the costs reported here are preliminary estimates for 2010. The most up-to-date cost information is available on HCUPnet, the online query system that provides free access to information from HCUP.5
Costs will reflect the actual expenses incurred in the production of hospital services, such as wages, supplies, and utility costs; charges represent the amount a hospital billed for the case. For each hospital, a hospital-wide cost-to-charge ratio is used. Hospital charges reflect the amount the hospital billed for the entire hospital stay and do not include professional (physician) fees. For the purposes of this Statistical Brief, costs are reported to the nearest hundred.
The classification of whether a hospital is in a metropolitan area ("urban") or nonmetropolitan area ("rural") is defined from the American Hospital Association (AHA) Annual Survey, using the 1993 U.S. Office of Management and Budget definition.
Payer is the expected primary payer for the hospital stay. To make coding uniform across all HCUP data sources, payer combines detailed categories into more general groups:
Discharge status indicates the disposition of the patient at discharge from the hospital and includes the following six categories: routine (to home); transfer to another short-term hospital; other transfers (including skilled nursing facility, intermediate care, and another type of facility such as a nursing home); home healthcare; against medical advice (AMA); or died in the hospital.
HCUP is a family of powerful healthcare databases, software tools, and products for advancing research. Sponsored by the Agency for Healthcare Research and Quality (AHRQ), HCUP includes the largest all-payer encounter-level collection of longitudinal healthcare data (inpatient, ambulatory surgery, and emergency department) in the United States, beginning in 1988. HCUP is a Federal-State-Industry Partnership that brings together the data collection efforts of many organizations—such as State data organizations, hospital associations, private data organizations, and the Federal government—to create a national information resource.
HCUP would not be possible without the contributions of the following data collection Partners from across the United States:
Alaska State Hospital and Nursing Home Association
Arizona Department of Health Services
Arkansas Department of Health
California Office of Statewide Health Planning and Development
Colorado Hospital Association
Connecticut Hospital Association
Florida Agency for Health Care Administration
Georgia Hospital Association
Hawaii Health Information Corporation
Illinois Department of Public Health
Indiana Hospital Association
Iowa Hospital Association
Kansas Hospital Association
Kentucky Cabinet for Health and Family Services
Louisiana Department of Health and Hospitals
Maine Health Data Organization
Maryland Health Services Cost Review Commission
Massachusetts Center for Health Information and Analysis
Michigan Health & Hospital Association
Minnesota Hospital Association
Mississippi Department of Health
Missouri Hospital Industry Data Institute
Montana MHA - An Association of Montana Health Care Providers
Nebraska Hospital Association
Nevada Department of Health and Human Services
New Hampshire Department of Health & Human Services
New Jersey Department of Health
New Mexico Department of Health
New York State Department of Health
North Carolina Department of Health and Human Services
Ohio Hospital Association
Oklahoma State Department of Health
Oregon Association of Hospitals and Health Systems
Oregon Health Policy and Research
Pennsylvania Health Care Cost Containment Council
Rhode Island Department of Health
South Carolina Budget & Control Board
South Dakota Association of Healthcare Organizations
Tennessee Hospital Association
Texas Department of State Health Services
Utah Department of Health
Vermont Association of Hospitals and Health Systems
Virginia Health Information
Washington State Department of Health
West Virginia Health Care Authority
Wisconsin Department of Health Services
Wyoming Hospital Association
About the NIS
The HCUP Nationwide Inpatient Sample (NIS) is a nationwide database of hospital inpatient stays. The NIS is nationally representative of all community hospitals (i.e., short-term, non-Federal, nonrehabilitation hospitals). The NIS is a sample of hospitals and includes all patients from each hospital, regardless of payer. It is drawn from a sampling frame that contains hospitals comprising more than 95 percent of all discharges in the United States. The vast size of the NIS allows the study of topics at both the national and regional levels for specific subgroups of patients. In addition, NIS data are standardized across years to facilitate ease of use.
HCUPnet is an online query system that offers instant access to the largest set of all-payer healthcare databases publicly available. HCUPnet has an easy step-by-step query system, allowing for tables and graphs to be generated on national and regional statistics, as well as trends for community hospitals in the United States. HCUPnet generates statistics using data from HCUP's Nationwide Inpatient Sample (NIS), the Kids' Inpatient Database (KID), the Nationwide Emergency Department Sample (NEDS), the State Inpatient Databases (SID), and the State Emergency Department Databases (SEDD).
For More Information
For more information about HCUP, visit http://www.hcup-us.ahrq.gov/.
For additional HCUP statistics, visit HCUPnet, our interactive query system, at https://datatools.ahrq.gov/hcupnet.
For information on other hospitalizations in the United States, download HCUP Facts and Figures: Statistics on Hospital-Based Care in the United States in 2009, located at http://www.hcup-us.ahrq.gov/reports.jsp.
For a detailed description of HCUP, and more information on the design of the NIS, please refer to the following publication:
Introduction to the HCUP Nationwide Inpatient Sample, 2010. Online. May 2012. U.S. Agency for Healthcare Research and Quality. Available at http://www.hcup-us.ahrq.gov/db/nation/nis/NISIntroduction2010.pdf. (Accessed September 5, 2012).
Houchens R, Elixhauser A. Final Report on Calculating Nationwide Inpatient Sample (NIS) Variances, 2001. HCUP Methods Series Report #2003-2. Online. June 2005 (revised June 6, 2005). U.S. Agency for Healthcare Research and Quality. Available at http://www.hcup-us.ahrq.gov/reports/methods/2003_02.pdf. (Accessed September 5, 2012).
Houchens RL, Elixhauser A. Using the HCUP Nationwide Inpatient Sample to Estimate Trends. (Updated for 1988-2004). HCUP Methods Series Report #2006–05. Online. August 18, 2006. U.S. Agency for Healthcare Research and Quality. Available at http://www.hcup-us.ahrq.gov/reports/methods/2006_05_NISTrendsReport_1988-2004.pdf. (Accessed September 5, 2012).
Pfuntner, A (Truven Health Analytics), Wier, LM (Truven Health Analytics), Elixhauser, A (AHRQ). Overview of Hospitals Stays in the United States, 2010. HCUP Statistical Brief #144. December 2012. Agency for Healthcare Research and Quality, Rockville, MD. Available at http://www.hcup-us.ahrq.gov/reports/statbriefs/sb144.pdf.
The authors would like to acknowledge the contributions of Eva Witt of Truven Health Analytics.
***AHRQ welcomes questions and comments from readers of this publication who are interested in obtaining more information about access, cost, use, financing, and quality of healthcare in the United States. We also invite you to tell us how you are using this Statistical Brief and other HCUP data and tools, and to share suggestions on how HCUP products might be enhanced to further meet your needs. Please e-mail us at firstname.lastname@example.org or send a letter to the address below:
Irene Fraser, Ph.D., Director
Center for Delivery, Organization, and Markets
Agency for Healthcare Research and Quality
540 Gaither Road
Rockville, MD 20850
1 Kashihara, D and Carper, K. National Health Care Expenses in the U.S. Civilian Noninstitutionalized Population, 2009. Statistical Brief #355. January 2012. Agency for Healthcare Research and Quality, Rockville, MD. http://www.meps.ahrq.gov/mepsweb/data_files/publications/st355/stat355.pdf (Accessed August 16, 2012).
2Wier LM (Thomson Reuters), Pfuntner A (Thomson Reuters), Maeda J (Thomson Reuters), Stranges E (Thomson Reuters), Ryan K (Thomson Reuters), Jagadish P (AHRQ), Collins Sharp B (AHRQ), Elixhauser A (AHRQ). HCUP Facts and Figures: Statistics on Hospital-Based Care in the United States, 2009. Rockville, MD: Agency for Healthcare Research and Quality, 2011 (http://www.hcup-us.ahrq.gov/reports.jsp). (Accessed August 16, 2012).
3Spotlight on Prevention: Why strategies that make us healthier are key to health reform. Online. Robert Wood Johnson Foundation. Original source is no longer available on the Web; for related information refer to the Centers for Disease Control and Prevention "Adult Obesity Facts," https://www.cdc.gov/obesity/data/adult.html, and the National Institutes of Health "Biennial Report of the Director, Fiscal Years 2010 & 2011", https://report.nih.gov/biennialreport10-11/chapter3/4_NIH_Chronic_Diseases.html. (Accessed June 4, 2020).
4HCUP Cost-to-Charge Ratio Files (CCR). Healthcare Cost and Utilization Project (HCUP). 2001-2009. U.S. Agency for Healthcare Research and Quality, Rockville, MD. Available at http://www.hcup-us.ahrq.gov/db/state/costtocharge.jsp. Updated August 2011. (Accessed August 16, 2012).
|Internet Citation: Statistical Brief #144. Healthcare Cost and Utilization Project (HCUP). May 2016. Agency for Healthcare Research and Quality, Rockville, MD. www.hcup-us.ahrq.gov/reports/statbriefs/sb144.jsp.|
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