STATISTICAL BRIEF #20
Regional variation in stays related to obesity
As shown in figure 1, in the northeastern U.S., 5.8 hospital stays per 10,000 were principally for obesity. In the other regions, rates ranged from 3.8 to 4.0 per 10,000. The pattern was remarkably different for hospital stays with obesity as a secondary diagnosis, as shown in figure 2. In the Northeast and West, there were about 45 stays per 10,000, while the rate in the Midwest was about 57 stays per 10,000; and, in the South, there were nearly 60 stays per 10,000, with obesity as a secondary diagnosis.
Conditions related to obesity
Table 2 lists principal diagnoses for those hospital stays where obesity was a secondary diagnosis, or a coexisting condition. These 20 conditions accounted for 60 percent of all hospital stays that included obesity as a secondary diagnosis. The most common principal diagnosis was coronary atherosclerosis, which accounted for nearly 7 percent of all patients with obesity. This was 75 percent higher than among the non-obese hospitalized population. Five of the top 10 conditions were related to the heart, and most were seen at higher rates for the obese population.
Two infections appeared in the top 10 conditions–skin infections and pneumonia. Skin infections were twice as likely to be seen among obese inpatients, but pneumonia was less frequently recorded for obese hospital stays. Three other respiratory conditions were relatively frequent among obese patients–asthma, chronic obstructive pulmonary disease (COPD), and respiratory failure. Osteoarthritis and back pain were also top 10 conditions for patients with obesity as a secondary diagnosis. Osteoarthritis was more than twice as likely among obese inpatients compared with non-obese inpatients, but back pain was only slightly more common.
Two mental health conditions were frequent principal diagnoses with secondary diagnoses of obesity–affective disorders and schizophrenia; both were slightly more common among obese inpatients. Biliary tract disease, diabetes, and abdominal hernia were also top 20 principal conditions for obese patients.
Procedures related to obesity
Table 3 lists the most common procedures for which obesity was either a principal or secondary diagnosis. For hospital stays with obesity as a principal diagnosis, nearly all stays involved gastric bypass and volume reduction surgery (95.1 percent). No other procedure was as common. For example, 14.7 percent received laparoscopy (many of which would be related to the gastric procedure), 13.8 percent received cholecystectomy, and 10.4 percent received upper gastrointestinal endoscopy (UGI).
Among hospital stays during which obesity was noted as a secondary diagnosis, the types of procedures were much more varied. For example, the most common procedure was cardiac catheterization (received by 9.2 percent of stays), 5.6 percent received blood transfusions, and 4.0 percent received percutaneous transluminal coronary angioplasty (PTCA).
The estimates in this Statistical Brief are based on data from the HCUP 2004 Nationwide Inpatient Sample (NIS). Supplemental sources included data from the U.S. Census Bureau, Population Division, Annual Estimates of the Population for the United States, Regions, and Divisions.
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 OB-GYN, ENT, orthopedic, cancer, pediatric, public, and academic medical hospitals. They exclude long-term care, rehabilitation, psychiatric, and alcoholism and chemical dependency hospitals, but these types of discharges are included if they are from community hospitals.
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 cost-to-charge ratios based on hospital accounting reports from the Centers for Medicare and Medicaid Services (CMS).4 Costs will tend to reflect the actual costs of production, while charges represent what the hospital billed for the case. For each hospital, a hospital-wide cost-to-charge ratio is used because detailed charges are not available across all HCUP States. Hospital charges reflect the amount the hospital charged for the entire hospital stay and does not include professional (physician) fees. For the purposes of this Statistical Brief, costs are reported to the nearest hundreds.
Diagnoses, ICD-9-CM, and Clinical Classifications Software (CCS)
The principal 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 that develop during the stay. All-listed diagnoses include the principal diagnosis plus these additional secondary conditions.
ICD-9-CM is the International Classification of Diseases, Ninth Revision, Clinical Modification, which assigns numeric codes to diagnoses. There are about 12,000 ICD-9-CM diagnosis codes.
CCS categorizes ICD-9-CM diagnoses into 260 clinically meaningful categories.5 This "clinical grouper" makes it easier to quickly understand patterns of diagnoses and procedures.
The ICD-9-CM codes defining obesity are 278.00 (obesity, unspecified) and 278.01 (morbid obesity). These codes were introduced in 1995.
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, non-rehabilitation 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 88 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.
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.
For more information about HCUP, visit http://www.hcup-us.ahrq.gov/.
HCUP would not be possible without the contributions of the following data collection Partners from across the United States:
Arizona Department of Health Services
Arkansas Department of Health & Human Services
California Office of Statewide Health Planning & Development
Colorado Health & Hospital Association
Connecticut Integrated Health Information (Chime, Inc.)
Florida Agency for Health Care Administration
Georgia GHA: An Association of Hospitals & Health Systems
Hawaii Health Information Corporation
Illinois Health Care Cost Containment Council and Department of Public Health
Indiana Hospital&Health Association
Iowa Hospital Association
Kansas Hospital Association
Kentucky Cabinet for Health and Family Services
Maryland Health Services Cost Review Commission
Massachusetts Division of Health Care Finance and Policy
Michigan Health & Hospital Association
Minnesota Hospital Association
Missouri Hospital Industry Data Institute
Nebraska Hospital Association
Nevada Division of Health Care Financing and Policy, Department of Human Resources
New Hampshire Department of Health & Human Services
New Jersey Department of Health and Senior Services
New York State Department of Health
North Carolina Department of Health and Human Services
Ohio Hospital Association
Oregon Office for Oregon Health Policy and Research and Oregon Association of Hospitals and Health Systems
Rhode Island Department of Health
South Carolina State Budget and 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 and Family Services
For additional HCUP statistics, visit HCUPnet, our interactive query system at http://hcupnet.ahrq.gov/.
For a detailed description of HCUP and more information on the design of the NIS and methods to calculate estimates, please refer to the following publications:
Steiner, C., Elixhauser, A., Schnaier, J. The Healthcare Cost and Utilization Project: An Overview. Effective Clinical Practice 5(3):143–51, 2002.
Design of the HCUP Nationwide Inpatient Sample, 2004. Online. August 8, 2006. U.S. Agency for Healthcare Research and Quality. http://www.hcup-us.ahrq.gov/db/nation/nis/reports/NIS_2004_Design_Report.pdf
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. http://www.hcup-us.ahrq.gov/reports/methods/2003_02.pdf
Elixhauser A., and Steiner, C. Obese Patients in U.S. Hospitals, 2004. HCUP Statistical Brief #20. December 2006. Agency for Healthcare Research and Quality, Rockville, MD. http://www.hcup-us.ahrq.gov/reports/statbriefs/sb20.pdf
***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
2National Heart, Lung, and Blood Institute. Clinical Guidelines on the Identification, Evaluation, and Treatment of Overweight and Obesity in Adults. http://www.ncbi.nlm.nih.gov/books/NBK2003/pdf/TOC.pdf.
3National Center for Health Statistics. “Obesity Still a Major Problem.” http://www.cdc.gov/nchs/pressroom/06facts/obesity03_04.htm (Accessed October 2, 2006).
4HCUP Cost-to-Charge Ratio Files (CCR). Healthcare Cost and Utilization Project (HCUP). 2001–2003. U.S. Agency for Healthcare Research and Quality, Rockville, MD. www.hcup-us.ahrq.gov/db/state/costtocharge.jsp.
5HCUP CCS. Healthcare Cost and Utilization Project (HCUP). August 2006. U.S. Agency for Healthcare Research and Quality, Rockville, MD. www.hcup-us.ahrq.gov/toolssoftware/ccs/ccs.jsp.
|Table 1. Differences in hospital stays related to obesity|
|Obesity as a principal diagnosis||Obesity as a secondary diagnosis||No mention of obesity|
|Number of discharges (percent)||126,240
|17 and younger||0.4%||1.6%||7.4%|
|65 and older||1.2%||28.5%||45.4%|
|Mean length of stay, days||3.1||4.9||5.1|
|Mean costs, dollars||$11,700||$8,800||$9,000|
|Source: AHRQ, Center for Delivery, Organization, and Markets, Healthcare Cost and Utilization Project, Nationwide Inpatient Sample, 2004.|
|Table 2. Principal diagnosis for hospital stays with a secondary diagnosis of obesity|
|Percent of stays with this principal diagnosis among stays with|
|Rank||Principal diagnosis||Number of stays with obesity as a secondary diagnosis||obesity as a secondary diagnosis||no mention of obesity|
|1||Coronary atherosclerosis (hardening of the arteries of the heart)||106,000||6.8||3.9*|
|2||Nonspecific chest pain||91,400||5.8||2.7*|
|3||Congestive heart failure||87,200||5.6||3.7*|
|5||Skin and subcutaneous infections||56,200||3.6||1.6*|
|6||Acute myocardial infarction (heart attack)||48,100||3.1||2.3*|
|7||Affective disorders (depression and bipolar disorder)||46,400||3.0||2.4*|
|9||Intervertebral disc disorders and other back problems||41,600||2.7||2.1*|
|12||Biliary tract disease||36,800||2.4||1.5*|
|13||Chronic obstructive pulmonary disease (COPD)||35,000||2.2||1.9*|
|17||Complications of device, implant, graft||30,700||2.0||2.1*|
|18||Complications of surgical procedures||28,700||1.8||1.5*|
|* Significant difference between stays with obesity and stays with no mention of obesity at p‹ 0.001.|
Source: AHRQ, Center for Delivery, Organization, and Markets, Healthcare Cost and Utilization Project, Nationwide Inpatient Sample, 2004.
|Table 3. Most common all-listed procedures for patients with obesity diagnoses|
|Obesity as a principal diagnosis||Obesity as a secondary diagnosis|
|All-listed procedures||Number of stays||Percent||All-listed procedures||Number of stays||Percent|
|Gastric bypass and stomach reduction surgery||120,000||95.1||Cardiac catheterization||144,500||9.2|
|UGI endoscopy||13,100||10.4||Mechanical ventilation||60,100||3.8|
|11,000||8.7||Arthroscopy of knee||56,100||3.6|
|Source: AHRQ, Center for Delivery, Organization, and Markets, Healthcare Cost and Utilization Project, Nationwide Inpatient Sample, 2004.|
|Internet Citation: Statistical Brief #20. Healthcare Cost and Utilization Project (HCUP). December 2006. Agency for Healthcare Research and Quality, Rockville, MD. www.hcup-us.ahrq.gov/reports/statbriefs/sb20.jsp.|
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|Last modified 12/6/06|