STATISTICAL BRIEF #297
September 2022
Audrey J. Weiss, Ph.D., and H. Joanna Jiang, Ph.D. Introduction Racial disparities exist in many areas of healthcare, including surgeries.1 An analysis of nine major surgical procedures among Medicare beneficiaries between 1992 and 2001 showed that White individuals had higher rates for all procedures than did Black individuals.2 Similarly, a more recent study analyzing 2012-2017 all-payer inpatient data from the Healthcare Cost and Utilization Project (HCUP) found that the rate of nine major surgical procedures, including total hip and knee arthroplasties, appendectomy, and spinal fusion, was substantially higher for White than for Black individuals, and this disparity persisted over time.3 A variety of factors may explain differences in the occurrence of surgeries by patient race and ethnicity, including patient characteristics such as comorbidities, insurance coverage, socioeconomic status, and willingness to undergo surgery; physician practice styles; and systemic factors such as access to healthcare, hospital volume, and resource capacity.4 This HCUP Statistical Brief presents statistics on inpatient stays with operating room (OR) procedures by patient race and ethnicity-Asian/Pacific Islander non-Hispanic (NH), Black NH, Hispanic, and White NH—using weighted estimates from the 2019 National Inpatient Sample (NIS). The population rate of stays with OR procedures is presented by patient race and ethnicity for nonmaternal and maternal stays. The rate for nonmaternal stays is based on the population of men and women of any age. The rate for maternal stays is limited to the population of women aged 15-49 years. The rate of maternal and nonmaternal stays with the five most common OR procedures also is provided. Finally, the rate of nonmaternal stays with OR procedures overall and for the 10 most common OR procedures is presented by patient age group. Because of the large sample size of the NIS data, small differences can be statistically significant. Thus, only differences greater than or equal to 10 percent are discussed in the text. |
Nonmaternal stays with OR procedures by patient age and patient race and ethnicity, 2019
Figure 4 presents the rate per 100,000 population of nonmaternal stays with OR procedures by patient age group and patient race and ethnicity in 2019. Figure 4. Population rate of nonmaternal stays with operating room (OR) procedures by patient age and patient race and ethnicity, 2019
Bar chart showing the rate per 100,000 population of nonmaternal stays with operating room (OR) procedures
by patient age group and patient race and ethnicity (Asian/Pacific Islander [API] non-Hispanic [NH], Black
NH, Hispanic, White NH) in 2019. Ages 0-17 years: overall (389.5), API NH (246.1), Black
NH (366.3), Hispanic (338.7), White NH (384.5). Ages 18-44 years: overall (900.1), API NH
(337.5), Black NH (1,223.8), Hispanic (728.3), White NH (889.1). Ages 45-64 years: overall
(3,097.1), API NH (1,183.9), Black NH (3,688.9), Hispanic (2,344.7), White NH (3,129.6). Ages 65+
years: overall (6,682.4), API NH (3,153.9), Black NH (5,949.6), Hispanic (4,881.4), White NH
(6,865.9).
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Tables 1 and 2 present the rate per 100,000 population of nonmaternal stays with the 10 most common OR procedures
by patient race and ethnicity in 2019 for four age groups: ages 0-17 years and 18-44 years (Table 1), and ages
45-64 years and 65+ years (Table 2).
Table 1. Population rate of nonmaternal stays with the 10 most common operating room (OR) procedures by patient age (0-17 and 18-44 years) and patient race and ethnicity, 2019 |
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Table 2. Population rate of nonmaternal stays with the 10 most common operating room (OR)
procedures by patient age (45-64 and 65+ years) and patient race and ethnicity, 2019
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References
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About Statistical Briefs
Healthcare Cost and Utilization Project (HCUP) Statistical Briefs provide basic descriptive statistics on a variety of topics using HCUP administrative healthcare data. Topics include hospital inpatient, ambulatory surgery, and emergency department use and costs, quality of care, access to care, medical conditions, procedures, and patient populations, among other topics. The reports are intended to generate hypotheses that can be further explored in other research; the reports are not designed to answer in-depth research questions using multivariate methods. |
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Data Source
The estimates in this Statistical Brief are based upon data from the HCUP 2019 National Inpatient Sample (NIS). Supplemental sources included population denominator data for use with HCUP databases, derived from information available from Claritas, a vendor that produces population estimates and projections based on data from the U.S. Census Bureau.a |
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Definitions
Procedures, ICD-10-CM/PCS, Clinical Classifications Software Refined (CCSR) for ICD-10-PCS
Procedures, Procedure Classes, and Major Diagnostic Categories (MDCs)
ICD-10-CM/PCS is the International Classification of Diseases, Tenth Revision, Clinical Modification/Procedure Coding System. There are over 75,000 ICD-10-PCS procedure codes. The CCSR aggregates ICD-10-PCS procedure codes into a manageable number of clinically meaningful categories.b The CCSR is intended to be used analytically to examine patterns of healthcare in terms of cost, utilization, and outcomes, as well as to perform rank utilization by procedures. ICD-10-PCS coding definitions for each CCSR category presented in this Statistical Brief can be found in the CCSR reference file, available at www.hcup-us.ahrq.gov/toolssoftware/ccsr/ccs_refined.jsp#download. For this Statistical Brief, v2022.1 of the CCSR was used. Major operating room (OR) procedures were defined using the Procedure Classes Refined for ICD-10-PCS software, which categorizes each ICD-10-PCS procedure code as major therapeutic, major diagnostic, minor therapeutic, or minor diagnostic.c If at least one major therapeutic or major diagnostic procedure was on a hospital record, the hospital stay was classified as involving a major OR procedure. MDCs assign ICD-10-CM principal diagnosis codes to 1 of 25 general diagnosis categories. Maternal stays were defined as those with MDC 14 (Pregnancy, Childbirth, and the Puerperium) and limited to women aged 15-49 years.d
Types of hospitals included in the HCUP National (Nationwide) Inpatient Sample
Unit of analysis
Population rates
Population rate of stays equals the number of stays by patient race and ethnicity
divided by the number of U.S. residents by race and ethnicity multiplied by 100,000.
Reporting of race and ethnicity
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The Healthcare Cost and Utilization Project (HCUP, pronounced "H-Cup") is a family of healthcare databases and related software tools and products developed through a Federal-State-Industry partnership and sponsored by the Agency for Healthcare Research and Quality (AHRQ). HCUP databases bring together the data collection efforts of State data organizations, hospital associations, and private data organizations (HCUP Partners) and the Federal government to create a national information resource of encounter-level healthcare data. HCUP includes the largest collection of longitudinal hospital care data in the United States, with all-payer, encounter-level information beginning in 1988. These databases enable research on a broad range of health policy issues, including cost and quality of health services, medical practice patterns, access to healthcare programs, and outcomes of treatments at the national, State, and local market levels.
HCUP would not be possible without the contributions of the following data collection Partners from across the United States:
Alaska Department of Health Alaska Hospital and Healthcare Association Arizona Department of Health Services Arkansas Department of Health California Department of Health Care Access and Information Colorado Hospital Association Connecticut Hospital Association Delaware Division of Public Health District of Columbia Hospital Association Florida Agency for Health Care Administration Georgia Hospital Association Hawaii Laulima Data Alliance Hawaii University of Hawai'i at Hilo 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 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 State Department of Health Missouri Hospital Industry Data Institute Montana Hospital Association 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 North Dakota (data provided by the Minnesota Hospital Association) Ohio Hospital Association Oklahoma State Department of Health Oregon Association of Hospitals and Health Systems Oregon Office of Health Analytics Pennsylvania Health Care Cost Containment Council Rhode Island Department of Health South Carolina Revenue and Fiscal Affairs Office 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 Department of Health and Human Resources, West Virginia Health Care Authority Wisconsin Department of Health Services Wyoming Hospital Association |
The HCUP National (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 includes all payers. It is drawn from a sampling frame that contains hospitals comprising more than 96 percent of all discharges in the United States. The vast size of the NIS allows the study of topics at the national and regional levels for specific subgroups of patients. In addition, NIS data are standardized across years to facilitate ease of use. Over time, the sampling frame for the NIS has changed; thus, the number of States contributing to the NIS varies from year to year. The NIS is intended for national estimates only; no State-level estimates can be produced. The unweighted sample size for the 2019 NIS is 7,083,805 (weighted, this represents 35,419,023 inpatient stays).
For other information on operating room procedures and differences in hospitalizations by patient race and
ethnicity, refer to the HCUP Statistical Briefs located at
www.hcup-us.ahrq.gov/reports/statbriefs/sb_procedures and
www.hcup-us.ahrq.gov/reports/statbriefs/sb_race.
For additional HCUP statistics, visit:
For more information about HCUP, visit www.hcupnet.ahrq.gov/.
For a detailed description of HCUP and more information on the design of the National Inpatient Sample (NIS), please refer to the following database documentation:
Agency for Healthcare Research and Quality. Overview of the National (Nationwide) Inpatient Sample (NIS). Healthcare Cost and Utilization Project (HCUP). Rockville, MD: Agency for Healthcare Research and Quality. Updated September 2021. www.hcup-us.ahrq.gov/nisoverview.jsp. Accessed March 9, 2022.
Weiss AJ (IBM), Jiang HJ (AHRQ). Differences in Hospital Stays With Operating Room Procedures by Patient Race and Ethnicity, 2019. HCUP Statistical Brief #297. September 2022. Agency for Healthcare Research and Quality, Rockville, MD. www.hcup-us.ahrq.gov/reports/statbriefs/sb297-OR-procedures-racial-disparities-2019.pdf.
The authors would like to acknowledge the contributions of Minya Sheng of IBM.
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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 email us at hcup@ahrq.gov. or send a letter to the address below:
Joel W. Cohen, Ph.D., Director
Center for Financing, Access and Cost Trends
Agency for Healthcare Research and Quality
5600 Fishers Lane
Rockville, MD 20857
This Statistical Brief was posted online on September 27, 2022.
a Claritas. Claritas Demographic Profile by ZIP Code. https://claritas360.claritas.com/mybestsegments/. Accessed August 5, 2022.
b Agency for Healthcare Research and Quality. Clinical Classifications Software Refined (CCSR) for ICD-10-PCS Procedures. Healthcare Cost and Utilization Project (HCUP). Agency for Healthcare Research and Quality. Updated February 2022. www.hcup-us.ahrq.gov/toolssoftware/ccsr/prccsr.jsp. Accessed August 5, 2022.
c Procedure Classes Refined for ICD-10-PCS. Healthcare Cost and Utilization Project (HCUP). U.S. Agency for Healthcare Research and Quality. Rockville, MD. Updated March 2022. www.hcup-us.ahrq.gov/toolssoftware/procedureicd10/procedure_icd10.jsp Accessed August 5, 2022.
d The restriction to ages 15-49 years excludes maternal stays for women younger than 15 years or older than 49 years—a group that represents less than 0.1% of all maternal stays. Note that this age range may differ from other HCUP reports of maternal stays.
e Claritas. Claritas Demographic Profile by ZIP Code. https://claritas360.claritas.com/mybestsegments/. Accessed August 5, 2022.
Internet Citation: Statistical Brief #297. Healthcare Cost and Utilization Project (HCUP). September 2022. Agency for Healthcare Research and Quality, Rockville, MD. www.hcup-us.ahrq.gov/reports/statbriefs/sb297-OR-procedures-racial-disparities-2019.jsp. |
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