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Healthcare Cost and Utilization Project (HCUP) Statistical Briefs [Internet]. Rockville (MD): Agency for Healthcare Research and Quality (US); 2006 Feb-.
Audrey J Weiss, PhD,Marguerite L Barrett, MS, andClaudia A Steiner, MD, MPH.
Published:July 2014.
Nearly one-third of all health care spending in the United States is attributed to inpatient hospital services.1 Between 1997 and 2011, aggregate inflation-adjusted hospital costs grew by 3.6 percent annually.2 Average inpatient hospital costs vary substantially by condition. For example, in 2011 the average hospital cost for a newborn infant was well below the average cost across all hospital stays, while the average cost for acute myocardial infarction was well above the average cost for all conditions.3
Timely information on trends in the costs and types of hospitalizations provide analysts and policymakers with baseline information that can be used to help evaluate the impact of health care improvement efforts. A novel initiative from the Agency for Healthcare Research and Quality (AHRQ) Healthcare Cost and Utilization Project (HCUP) is used in this Statistical Brief to produce timely, current inpatient statistics on the cost and utilization of hospitalizations according to general types of conditions (e.g., medical, surgical).4
In this HCUP Statistical Brief, we use historical HCUP inpatient data from 2003 through 2011 along with early 2012 data from nine HCUP States to develop national projections of 2012 and 2013 hospital costs and other inpatient statistics for all hospitalizations (any reason). We examine five distinct hospital service lines that together encompass all types of inpatient discharges: medical, surgical, injury, mental health, and maternal and neonatal. Differences greater than 10 percent between annual weighted estimates are noted in the text. Because analyses in this Statistical Brief are based on all discharges from all States weighted to a national level, the values may differ slightly from results reported from the HCUP Nationwide Inpatient Sample (NIS).
Table 1 summarizes the average hospital costs, total discharges, and average length of stay for all inpatient hospitalizations and hospitalizations for five component hospital service lines in 2003 and 2011 (actual values) and for 2013 (projected values). The average annual percentage change from 2003 to 2011 (actual change) and from 2011 to 2013 (projected change) is presented.
Average hospital costs (inflation-adjusted), total discharges, and average length of stay by hospital service line, 2003–2013.
Figures 1–3 show the 2003–2013 actual and projected trend in average hospital costs (Figure 1), total discharges (Figure 2), and average length of stay (Figure 3) for the five hospital service lines.
The estimates in this Statistical Brief are based upon data from the Healthcare Cost and Utilization Project (HCUP) State Inpatient Databases (SID) for 2003 through 2011. The SID from 2003 through 2011 include about 305 million inpatient discharges from 47 States. At the time these statistics were generated, we had early quarterly data for nine States for 2012. The 2012 projections incorporated observed rates for these nine States and estimated rates from time-series models for the remaining States. For 2013, the projections were entirely based on rates estimated from time-series models.
National quarterly projections for 2012 and 2013 were generated using the SAS Time Series Forecasting System™ (Version 9.2).5 Projections were calculated first by State and then weighted proportionally to the nine Census divisions and the nation. For each State, the software automatically selected from among 40 different time series models the model with the lowest mean absolute percentage error (MAPE) for that State. National quarterly trends were calculated as a weighted average of the State-level quarterly trends within each division. Each State's weight was proportional to its total number of discharges (excluding newborns) as reported in the American Hospital Association (AHA) Annual Survey of Hospitals. These AHA-based weights were used throughout the period, 2003–2012.
Coding criteria for the five hospital service lines are provided inTable 2 and are based on International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes, Clinical Classifications Software (CCS) categories, and diagnosis-related groups (DRGs) (see definitions below). Each discharge was assigned to a single hospital service line hierarchically, based on the following order: maternal and neonatal, mental health, injury, surgical, and medical.
Coding criteria for the five hospital service lines analyzed in this research.
Theprincipal diagnosis is that condition established after study to be chiefly responsible for the patient's admission to the hospital.Secondary diagnoses are concomitant conditions that coexist at the time of admission or develop during the stay.All-listed diagnoses include the principal diagnosis plus these additional secondary conditions.
ICD-9-CM assigns numeric codes to diagnoses. There are approximately 14,000 ICD-9-CM diagnosis codes.
CCS categorizes ICD-9-CM diagnoses into a manageable number of clinically meaningful categories.6 This “clinical grouper” makes it easier to quickly understand patterns of diagnoses. CCS categories identified as “Other” typically are not reported; these categories include miscellaneous, otherwise unclassifiable diagnoses that may be difficult to interpret as a group.
DRGs comprise a patient classification system that categorizes patients into groups that are clinically coherent and homogeneous with respect to resource use. DRGs group patients according to diagnosis, type of treatment (procedures), age, and other relevant criteria. Each hospital stay has one assigned DRG.
Average annual percentage change is calculated using the following formula:
HCUP is based on data from community hospitals, which are 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 State Inpatient Databases (SID).
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.
Total hospital charges were converted to costs using HCUP Cost-to-Charge Ratios (CCRs) based on hospital accounting reports from the Centers for Medicare & Medicaid Services (CMS).7Costs 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-specific CCR is used. The CCRs are at the hospital level and are not sensitive to possible differences by hospital service line. 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.
Quarterly cost data from the HCUP Projections8 were weighted to produce annual costs. Quarterly and annual costs were inflation adjusted using the Gross Domestic Product (GDP) from the U.S. Department of Commerce, Bureau of Economic Analysis (BEA), with either the 2013 annual (Table 1) or 2013 fourth quarterly value (Figure 1) as the index base.9 That is, all costs are expressed in 2013 dollars.
For more information about HCUP, visithttp://www.hcup-us.ahrq.gov/.
For additional HCUP statistics, visit HCUPnet, our interactive query system, athttp://hcupnet.ahrq.gov/.
For information on other hospitalizations in the United States, refer to the following HCUP Statistical Briefs located athttp://www.hcup-us.ahrq.gov/reports/statbriefs/statbriefs.jsp:
For a detailed description of HCUP and more information on the State Inpatient Databases (SID), please refer to the following publication:
Introduction to the HCUP State Inpatient Databases. Online. August 2013. U.S. Agency for Healthcare Research and Quality.http://hcup-us.ahrq.gov/db/state/siddist/Introduction_to_SID.pdf. Accessed December 13, 2013.
Gonzalez JM.MEPS Statistical Brief #425. Rockville, MD: Agency for Healthcare Research and Quality; Nov, 2013. [March 28, 2014]. National health care expenses in the U.S. civilian noninstitutionalized population, 2011.http://meps
Pfuntner A, Wier LM, Steiner C.HCUP Statistical Brief #168. Rockville, MD: Agency for Healthcare Research and Quality; Dec, 2013. [January 28, 2014]. Costs for hospital stays in the United States, 2011.http://www
Ibid.
Complete and detailed description, methodology, data, and projections are provided in:Steiner C, Andrews R, Barrett M, Weiss A.HCUP Projections Report #2013-01. Rockville, MD: Agency for Healthcare Research and Quality; Dec 11, 2013. [January 31, 2014]. HCUP Projections: Cost of Inpatient Discharges 2012 to 2013.http://www
SAS Institute.Large-Scale Automatic Forecasting Using Inputs and Calendar Events. White Paper, SAS Institute Inc.; 2009. .
HCUP Clinical Classifications Software (CCS).Healthcare Cost and Utilization Project (HCUP). Rockville, MD: U.S. Agency for Healthcare Research and Quality; [May 29, 2014]. Updated April 2014.http://www
HCUP Cost-to-Charge Ratio (CCR) Files.Healthcare Cost and Utilization Project (HCUP). Rockville, MD: U.S. Agency for Healthcare Research and Quality; 2001–2011. [May 29, 2014]. Updated August 2013.http://www
Steiner C, Andrews R, Barrett M, Weiss A.HCUP Projections Report #2013-01. Rockville, MD: Agency for Healthcare Research and Quality; Dec 11, 2013. [January 31, 2014]. HCUP Projections: Cost of Inpatient Discharges 2012 to 2013.http://www
U.S. Bureau of Economic Analysis.National Income and Product Account Tables, Table 1.1.4 Price Indexes for Gross Domestic Product. [March 20, 2014].http://www
About Statistical Briefs HCUP Statistical Briefs are descriptive summary reports presenting statistics on hospital inpatient and emergency department use and costs, quality of care, access to care, medical conditions, procedures, patient populations, and other topics. The reports use HCUP administrative health care data.
About the SID The HCUP State Inpatient Databases (SID) are hospital inpatient databases from data organizations participating in HCUP. The SID contain the universe of the inpatient discharge abstracts in the participating HCUP States, translated into a uniform format to facilitate multistate comparisons and analyses. Together, the SID encompass more than 95 percent of all U.S. community hospital discharges in 2009. The SID can be used to investigate questions unique to one State, to compare data from two or more States, to conduct market-area variation analyses, and to identify State-specific trends in inpatient care utilization, access, charges, and outcomes.
Suggested Citation Weiss AJ (Truven Health Analytics), Barrett ML (M.L. Barrett, Inc.), Steiner CA (AHRQ). Trends and Projections in Inpatient Hospital Costs and Utilization, 2003–2013. HCUP Statistical Brief #175. July 2014. Agency for Healthcare Research and Quality, Rockville, MD.http://www
Acknowledgments The authors would like to acknowledge the contributions of Clare Sun of Truven Health Analytics.
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