STATISTICAL BRIEF #143 |
November 2012
Krystle Seu, M.H.A., Kendall K. Hall, M.D., M.S, Ernest Moy, M.D. Introduction Tooth decay is one of the most prevalent chronic diseases worldwide and the most common medical condition among children in the United States.1,2,3 People are susceptible to dental-related conditions throughout their lifetimes,4 and most oral diseases tend to be progressive and cumulative without intervention.4 Therefore, untreated tooth decay could result in loss of teeth and difficulty eating, and it can even lead to death.6 The cost of dental visits in the emergency department (ED) is high. For example, dental visits to the ED totaled $23 million in Georgia in 2007 and nearly $88 million in Florida in 2010.5 This Statistical Brief presents nationwide data from the Healthcare Cost and Utilization Project (HCUP) on ED visits for treatment of dental-related conditions in 2009. Patient characteristics of ED visits for dental care are described, and dental visits that resulted in a hospital admission are compared to treat-and-release ED visits. Patient demographics (sex, age, patient residence, and community income level), primary expected payer, patient-to-dentist ratios, and the most common dental conditions are described. Figures highlight differences that were statistically significant. All differences between subgroup estimates noted in the text are statistically significant at the 0.05 probability level or better. Findings Overall population Table 1 contains demographic statistics for dental-related conditions in the ED. In 2009, there were 936,482 ED visits with dental conditions as a first-listed diagnosis—up from 874,000 in 2006. For the vast majority (98 percent) of these ED visits, patients were treated and released; only 2 percent resulted in hospitalization. There were 305 ED visits per 100,000 population in 2009. On average, there were 2,566 ED visits related to dental conditions every day, of which 35 resulted in hospital admission. |
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Table 1. Dental-related conditions in the emergency department, U.S., 2009 | ||||
ED visits related to dental conditions | All other ED visits | |||
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Total ED visits | Treat-and-release ED visits | Hospital admissions from the ED | ||
Number of ED visits | 936,482 | 923,720 | 12,762 | 127,795,823 |
Rate per 100,000 population | ||||
ED visits | 305 | 301 | 4.2 | 41,706 |
Patient sex | ||||
Males | 304 | 300 | 4.2 | 37,957 |
Females | 306 | 302 | 4.1 | 45,238 |
Age group | ||||
0-17 | 110 | 108 | 2.7 | 38,225 |
18-44 | 611 | 605 | 5.7 | 44,664 |
45-64 | 184 | 180 | 3.8 | 34,435 |
65-84 | 46 | 43 | 3.1 | 48,589 |
85 years and older | 33 | 29 | 3.9 | 79,118 |
Patient residence | ||||
Large metropolitan areas-at least one million residents | 217 | 213 | 3.9 | 37,447 |
Small metropolitan areas-less than one million residents | 369 | 365 | 4.7 | 43,541 |
Micropolitan | 478 | 474 | 4.9 | 50,196 |
Not metropolitan or micropolitan (rural) | 480 | 476 | 4.3 | 55,901 |
Community income level | ||||
1-lowest | 452 | 448 | 4.7 | 52,892 |
2-low | 387 | 381 | 5.8 | 46,749 |
3-moderate | 238 | 235 | 3.3 | 35,668 |
4-highest | 111 | 109 | 2.2 | 27,146 |
Ratio of patients to dentists | ||||
<1500 (desirable) | 216 | 212 | 4.2 | NA |
1500-2000 | 326 | 321 | 5.3 | NA |
2000-3000 | 336 | 333 | 2.9 | NA |
3000-4000 (poor) | 447 | 443 | 3.6 | NA |
>4000/1 (HPSA)* | 382 | 379 | 3.1 | NA |
Source: AHRQ, Center for Delivery, Organization and Markets, Healthcare Cost and Utilization Project, Nationwide Emergency Department Sample, 2009 *HPSA = Health Provider Shortage Area Due to rounding, total ED visits may not equal the sum of treat-and-release visits plus hospital admissions from the ED. |
Dental-related ED visits compared to all other ED visits by sex and age Table 1 shows that males and females had similar ED visit and hospitalization rates for dental conditions. About 62 percent of patients with dental-related ED visits were 18-44 years old (figure 1). Persons in this age group had the majority of ED visits for dental-related conditions among those who were treated and released and those who were hospitalized from the ED. |
Figure 1. ED visits for dental conditions compared to all other ED visits, by age, 2009. Two pie charts; first chart, Total ED visits related to dental conditions: ages 0 to 17, 11%; ages 18 to 44, 62%; ages 45 to 64, 19%; ages 65 to 84, 5%; 85 years and older, 3%; Second chart, All other ED visits; ages 0 to 17, 16%; ages 18 to 44, 18%; ages 45 to 64, 14%; ages 65 to 84, 20%; 85 years and older, 32%; Source: AHRQ, Center for Delivery, Organization and Markets, Healthcare Cost and Utilization Project, Nationwide Emergency Department Sample, 2009.
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Source: AHRQ, Center for Delivery, Organization and Markets, Healthcare Cost and Utilization Project, Nationwide Emergency Department Sample, 2009
Figure 2 further examines the age composition of dental-related ED visits for patients 15-44 years old. Those who were 25-29 years old had the highest rate of ED utilization for dental conditions (890 per 100,000 persons), followed by those who were 20-24 years old (766 per 100,000 persons) and 30-34 years old (660 per 100,000 persons). |
Figure 2. Dental-related ED visits for 15-44 year olds, rate per 100,000 population, 2009. Column bar chart; ED visits per 100,000: ages 15 to 19, 211; ages 20 to 24, 766; ages 25 to 29, 890; ages 30 to 34, 660; ages 35 to 39, 473; ages 40 to 44, 381; Source: AHRQ, Center for Delivery, Organization and Markets, Healthcare Cost and Utilization Project, Nationwide Emergency Department Sample, 2009.
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Source: AHRQ, Center for Delivery, Organization and Markets, Healthcare Cost and Utilization Project, Nationwide Emergency Department Sample, 2009
ED visits and inpatient stays related to dental issues by payer Figure 3 Illustrates the payer mix of dental-related ED visits compared to all other ED visits. Most ED visits for dental-related conditions were covered by Medicaid (30 percent) or were uninsured (40 percent). |
Figure 3. Expected pay source for dental-related ED visits compared to all other ED visits, 2009. Two pie charts; first chart, Total ED visits related to dental conditions: Medicare, 7%; Medicaid, 30%; Private, 19%; Uninsured, 40%; Other, 4%; Second chart, All other ED visits; Medicare, 20%; Medicaid, 25%; Private, 33%; Uninsured, 17%; Other, 5%; Source: AHRQ, Center for Delivery, Organization and Markets, Healthcare Cost and Utilization Project, Nationwide Emergency Department Sample, 2009.
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Source: AHRQ, Center for Delivery, Organization and Markets, Healthcare Cost and Utilization Project, Nationwide Emergency Department Sample, 2009
Figure 4 compares the expected pay source for treat-and-release ED visits for dental conditions to ED visits that resulted in a hospital admission. Figure 4 shows that 41 percent of dental-related treat-and-release ED visits were uninsured. Among the visits resulting in hospital admission, the most common payer was Medicaid (27 percent), followed by private insurance (26 percent), while 20 percent were uninsured. |
Figure 4. Expected payer for ED patients admitted into the hospital compared to those who were discharged with dental-related conditions, 2009. Two pie charts; first chart, Treat and release ED visits related to dental conditions: Medicare, 7%; Medicaid, 30%; Private, 18%; Uninsured, 41%; Other, 4%; Second chart, Admissions related to dental conditions; Medicare, 17%; Medicaid, 27%; Private, 26%; Uninsured, 20%; Other, 10%; Source: AHRQ, Center for Delivery, Organization and Markets, Healthcare Cost and Utilization Project, Nationwide Emergency Department Sample, 2009.
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Source: AHRQ, Center for Delivery, Organization and Markets, Healthcare Cost and Utilization Project, Nationwide Emergency Department Sample, 2009
Dental-related ED visits compared to all other ED visits, by community income level Patients residing in communities with the lowest income levels had the highest number of visits to the ED for dental conditions, as shown in table 1. Furthermore, the number of dental-related ED visits decreased as community income level increased. Compared to the highest income communities, dental-related ED visits were four times higher among patients from the lowest income communities. ED visits and inpatient stays related to dental problems by patient residence Table 1 shows that dental-related ED visits were more common in rural areas than in urban areas. There were 480 dental-related ED visits per 100,000 in rural areas—more than twice as high as in the largest urban areas (217 dental-related ED visits per 100,000). Total dental-related ED visits by availability of dental-care providers Figure 5 shows generally higher rates of dental-related ED visits in areas with more patients per dentist. For example, in areas with 3000-4000 patients per dentist, there were 447 dental-related ED visits per 100,000 population, compared to 216 dental-related ED visits in areas with the most dentists (>1500 patients per dentist). |
Figure 5. Dental-related ED visits per 100,000 population by patient-to-dentist ratio, 2009.
Column bar chart; utilization rates per 100,000; patient-dentist ratio
Less than 1500 (desirable), 216: 1500-2000, 326; 2000-3000, 336; 3000-4000 (poor), 447; Greater than 4000 (HPSA), 382; Source: AHRQ, Center for Delivery, Organization and Markets, Healthcare Cost and Utilization Project, Nationwide Emergency Department Sample, 2009 . HPSA = Health Provider Shortage Area .
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Source: AHRQ, Center for Delivery, Organization and Markets, Healthcare Cost and Utilization Project, Nationwide Emergency Department Sample, 2009
HPSA = Health Provider Shortage Area
Dental-related conditions seen in the ED Table 2 shows the top five dental-related diagnoses made in the ED. Dental caries (cavities) were the most frequently listed dental condition (41.8 percent). This diagnosis was followed closely by dental abscess (37.4 percent), an infection that typically originates from dental caries. Table 3 compares the diagnoses for dental-related treat-and-release visits to those from ED visits that resulted in a hospital admission. Abscess was more common among patients admitted to the hospital, comprising 63.0 percent of this group. |
Table 2. The top five most common dental conditions seen in the ED, U.S., 2009 | ||
Principal or first-listed diagnosis | Number of visits | Percentage | Dental caries | 389,600 | 41.8 | Abscess | 349,000 | 37.4 | Periodontitis | 95,400 | 10.2 | Gingival disorders | 49,700 | 5.3 | Disorders of development & eruption | 27,300 | 2.9 |
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Source: AHRQ, Center for Delivery, Organization and Markets, Healthcare Cost and Utilization Project, Nationwide Emergency Department Sample, 2009 |
Table 3. The top five dental conditions for treat-and-release ED visits and those that resulted in hospital admission, U.S., 2009 | |||
Treat-and-release visits | Principal or first-listed diagnosis | Number of visits | Percentage |
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Dental caries | 387,600 | 42.0 | |
Abscess | 341,200 | 37.0 | |
Periodontitis | 93,300 | 10.0 | |
Gingival disorders | 49,200 | 5.0 | |
Disorders of development & eruption | 27,200 | 3.0 | |
Total | 920,800 | 100.0 | |
Visits that result in hospital admission | |||
Abscess | 7,800 | 63.0 | |
Dental caries | 2,000 | 16.0 | |
Periodontitis | 2,000 | 16.0 | |
Gingival disorders | 400 | 3.0 | |
Disorders of development & eruption | 100 | 1.0 | |
Total | 12,500 | 100.0 | |
Source: AHRQ, Center for Delivery, Organization and Markets, Healthcare Cost and Utilization Project, Nationwide Emergency Department Sample, 2009 |
Data Source
The estimates in this Statistical Brief are based upon data from the HCUP 2009 NEDS. Supplemental sources included data from the U.S. Census Bureau, Population Division, Annual Estimates of the Population for the United States, Regions, and Divisions and U.S. Census Bureau, Current Population Reports, P60-226, Coverage by Type of Health Insurance and Claritas Population Estimates, 2009. Data on Health Provider Shortage Areas was derived from the Area Resource File (ARF) made available through the Health Resources and Services Administration (HRSA): http://https://data.hrsa.gov/tools/shortage-area/hpsa-find. Definitions Diagnoses, ICD-9-CM, and Clinical Classifications Software (CCS) The principal diagnosis is that condition established after study to be chiefly responsible for the patientâs admission to the hospital. The first-listed diagnosis for the ED visit may not be the principal diagnosis; it may just be the first-listed diagnosis on the record. ICD-9-CM is the International Classification of Diseases, Ninth Revision, Clinical Modification, which assigns numeric codes to diagnoses. There are about 14,000 ICD-9-CM diagnosis codes. CCS categorizes ICD-9-CM diagnoses into a manageable number of clinically meaningful categories.7 This "clinical grouper" makes it easier to quickly understand patterns of diagnoses. CCS categories identified as "Other" are typically not reported; these categories include miscellaneous, otherwise unclassifiable diagnoses that may be difficult to interpret as a group. Case definition The ICD-9-CM codes defining dental conditions include diagnosis codes in the following range: ICD-9-CM 520-523.9. 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 ED visit or hospital discharge, not a person or patient. This means that a person who is seen in the ED or admitted to the hospital multiple times in one year will be counted each time as a separate ED visit or "discharge" from the hospital. Location of patients' residence Place of residence is based on the urban-rural classification scheme for U.S. counties developed by the National Center for Health Statistics (NCHS):
Median community-level income Median community-level income is the median household income of the patient's ZIP Code of residence. The cut-offs for the quartile designation are determined using ZIP Code demographic data obtained from Claritas. The income quartile is missing for homeless and foreign patients. Payer 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:
When more than one payer is listed for a hospital discharge, the first-listed payer is used. About HCUP 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 Analyses 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 Health Policy Commission 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 NEDS The HCUP Nationwide Emergency Department Database (NEDS) is a unique and powerful database that yields national estimates of emergency department (ED) visits. The NEDS was constructed using records from both the HCUP State Emergency Department Databases (SEDD) and the State Inpatient Databases (SID). The SEDD capture information on ED visits that do not result in an admission (i.e., treat-and-release visits and transfers to another hospital); the SID contain information on patients initially seen in the emergency room and then admitted to the same hospital. The NEDS was created to enable analyses of ED utilization patterns and support public health professionals, administrators, policymakers, and clinicians in their decision making regarding this critical source of care. The NEDS is produced annually beginning in 2006. About HCUPnet 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 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 NEDS, please refer to the following publication: Introduction to the HCUP Nationwide Emergency Department Sample, 2009. Online. September 2011. U.S. Agency for Healthcare Research and Quality. Available at http://hcup-us.ahrq.gov/db/nation/neds/NEDS2009Introductionv3.pdf. (Accessed March 15, 2012). Suggested Citation Seu K (Agency for Healthcare Research and Quality), Hall K (Agency for Healthcare Research and Quality), and Moy E (Agency for Healthcare Research and Quality). Emergency Department Visits for Dental-Related Conditions, 2009. HCUP Statistical Brief #143. November 2012. Agency for Healthcare Research and Quality, Rockville, MD. Available at http://www.hcup-us.ahrq.gov/reports/statbriefs/sb143.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 hcup@ahrq.gov 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 1Peres, K. G., Peres, M. A., Araujo, C. L., & Menezes, A. M. (2009). Social and dental status along the life course and oral health impacts. BioMed Central, 1-10. 2National Institute of Dental and Craniofacial Research. (2000). Oral health in America: A Report of the Surgeon General. Rockville: U.S. Department of Health and Human Services. 3Selwitz, RH; Ismail, AI; & Pitts, NB. (2007) Dental caries. Lancet. 369(9555):51-9. 4World Health Organization. "Priority Action Areas," Oral Health, 2012, http://www.who.int/oral_health/action/groups/en/index1.html. Original source is no longer available on the Web. For related information refer to: World Health Roganization. Oral Health. Updated March 25, 2020. www.who.int/news-room/fact-sheets/detail/oral-health. Accessed October 27, 2021. 5Institute of Medicine. (2011) Advancing Oral Health in America. Washington, DC: National Academy of Sciences. Available at https://www.hrsa.gov/sites/default/files/publichealth/clinical/oralhealth/advancingoralhealth.pdf. 6The Pew Center on States. (2011) The State of Children's Dental Health: Making Coverage Matter. Washington, DC: The Pew Charitable Trusts. Available at www.pewtrusts.org/-/media/legacy/uploadedfiles/wwwpewtrustsorg/reports/state_policy/childrensdental50statereport2011pdf. Accessed October 27, 2021. 7HCUP Clinical Classifications Software (CCS). Healthcare Cost and Utilization Project (HCUP). U.S. Agency for Healthcare Research and Quality, Rockville, MD. Available at http://www.hcup-us.ahrq.gov/toolssoftware/ccs/ccs.jsp. Updated March 2012. (Accessed November 15, 2012). |
Internet Citation: Statistical Brief #143. Healthcare Cost and Utilization Project (HCUP). May 2016. Agency for Healthcare Research and Quality, Rockville, MD. www.hcup-us.ahrq.gov/reports/statbriefs/sb143.jsp. |
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