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Admission to acute care hospitals for adolescent substance abuse: a national descriptive analysis



Use of alcohol and illicit drugs by adolescents remains a problem in the U.S. Case identification and early treatment can occur within a broad variety of healthcare and non-healthcare settings, including acute care hospitals. The objective of this study is to describe the extent and nature of adolescent admissions to the acute inpatient setting for substance abuse (SA). We use the Agency for Healthcare Research and Quality (AHRQ) 2000 Healthcare Cost and Utilization Project Kids Inpatient Database (HCUP-KID) which includes over 2.5 million admissions for youth age 20 and under to 2,784 hospitals in 27 states in the year 2000. Specifically, this analysis estimates national number of admissions, mean total charges, and mean lengths of stay for adolescents between the ages of 12 and 17 admitted to an acute care hospital for the following diagnostic categories from the AHRQ's Clinical Classifications Software categories: "alcohol-related mental disorders" and "substance-related mental disorders". Frequency and percentage of total admissions were calculated for demographic variables of age, gender and income and for hospital characteristic variables of urban/rural designation and children's hospital designation.


SA admissions represented 1.25 percent of adolescent admissions to acute care hospitals. Nearly 90 percent of the admission occurred in non-Children's hospitals. Most were for drug dependence (38%) or non-dependent use of alcohol or drugs (35%). Costs were highest for drug dependence admissions. Nearly half of admissions had comorbid mental health diagnoses. Higher rates of admission were seen in boys, in older adolescents, and in "self-pay" patients. Alcohol and drug rehabilitation/detoxification, alone or in combination with psychological and psychiatric evaluation and therapy, was documented for 38 percent of admissions. Over 50 percent of cases had no documentation of treatment specific to substance use behavior.


General acute care hospitals have a significant and important opportunity to recognize, treat, and refer adolescents with substance abuse problems. These results suggest that inpatient facilities should develop and implement policies and processes to ensure that adolescent substance abusers admitted to their institutions receive appropriate care during the admission and appropriate referral to community care resources.


Use of alcohol and illicit drugs by adolescents remains a problem in the U.S. Although use rates have leveled and even decreased slightly for some substances over the past ten years, use rates among even the youngest adolescents are still concerning. Three of four teens have used alcohol (more than a few sips) by the time they finish high school and half have used alcohol prior to the 8th grade. In addition, half of U.S. teens have tried an illicit drug by the time they finish high school with nearly 30 percent using a drug other than marijuana [1]. This substance use by adolescents is associated with negative outcomes including motor vehicle accidents, academic problems, family dysfunction, and criminal behavior [2, 3]. In addition, early initiation of alcohol [4, 5] and drug use [6] increases the probability of lifelong dependence.

While treatment for substance abuse disorders is generally provided within a well-defined segment of the health care community [7], case identification and early treatment can occur within a broad variety of healthcare and non-healthcare settings including primary care offices [8, 9], emergency departments [1014], educational settings [15], and the criminal justice system [16]. Research across these settings suggests that each can serve an important role in screening, treating, and referring adolescents with substance abuse problems but that time pressures and competing priorities sometimes limit their ability to serve this purpose.

To date, no research has been conducted on the role of acute care hospital admissions in the treatment of adolescents with substance abuse disorders. The inpatient setting is of particular importance because patients admitted to the hospital with substance abuse diagnoses are likely to have more severe or more complicated substance problems and because inpatients are in the hands of the health care setting for a longer period of time allowing for a variety of interventions and for appropriate referral planning [17].

The purpose of this paper is to describe the demographics, utilization, and cost of acute care inpatient admissions for adolescents with diagnoses of drug or alcohol related issues. Results of this analysis should prove useful in describing the impact of substance abuse on the inpatient care setting and should also help to quantify the opportunity for case identification, treatment, and referral within acute care hospitals. The results from this study should help to inform policy-making regarding opportunities for treatment initiation in the hospital setting and needs for improved the interfaces between acute care, behavioral health, and drug treatment settings.

Materials and methods

Data sources

This study was conducted using data from the Healthcare Cost and Utilization Project Kids Inpatient Database (HCUP-Kid) for the year 2000. The database provides detailed information on pediatric discharges (age 20 or less) from short-term general and specialty hospitals including children's hospitals. Discharges from hospital units of institutions, federal hospitals, psychiatric hospitals, and alcohol/chemical dependency facilities are excluded. The HCUP-KID includes over 2.5 million discharges from 2,784 hospitals in 27 states. Each record in the database represents a hospital discharge. Because not all states provide a unique patient identifier with HCUP-KID data, all analyses are conducted at the discharge, rather than the patient, level.

Weighting, based on hospital-level post-stratification on characteristics of urban/rural status, ownership/control, bed size, teaching status, U.S. region, and pediatric hospital status, is provided with the data to allow calculation of national estimates of utilization and cost. Detailed information on the content and design of the HCUP-Kid is published elsewhere [20].

Case definition

Substance abuse-related acute care admissions were identified using AHRQ's Clinical Classification Software (CCS), a system which groups the over 12,000 ICD-9-CM diagnosis codes into 260 clinically meaningful categories [21]. Our case definition included admissions with a principal CCS diagnosis of alcohol-related mental disorders (CCS 66) and substance-related mental disorders (CCS 67). CCS 66 includes the ICD-9 diagnoses of alcoholic psychoses (291.xx) and alcohol dependence syndrome (303.xx) while CCS 67 includes the ICD-9 diagnoses of drug psychoses (292.xx), drug dependence (304.xx), and non-dependent abuse of alcohol or drugs (305.xx). For ease of reference, all cases meeting the above criteria are referred to as "Substance Abuse (SA) Admissions" for the remainder of this paper. Analysis was limited to adolescents ages 12 to 17.

It must be noted that the confidentiality and legality issues surrounding substance abuse diagnoses has led some states that participate in the HCUP program to restrict information provided on such admissions. The state of Pennsylvania requires that age be reported as the mid-point of a five-year age range for the diagnoses included in this study, in order to enhance confidentiality. This means that all children between the ages of 10 and 14 are coded as age 12. Given that this study includes adolescents between the ages of 12 and 17, Pennsylvania SA admissions for children aged 10 and 11 are included in our study. This will result in a slight overestimation of the national SA admission rates for adolescents between the ages of 12 and 17 but given the relatively low substance use in 10–11 year olds the impact should be small. The state of Texas requires that the age field for the diagnoses in this study be set to "missing," therefore, no SA admissions from Texas are included in our results. Because Texas also does not submit charge data to HCUP, AHRQ has developed survey weights for calculating national estimates excluding Texas, which are provided within the HCUP data. These weights will be used for this analysis; therefore the lack of Texas adolescent SA admissions should not bias national estimates.


The analysis describes hospital admissions for substance abuse across a number of demographic and utilization variables. Patient variables of age, gender, median income for zip code of residence, principal and secondary diagnoses, expected primary payer, total charges, and length of stay are taken directly from the HCUP-KID database along with hospital characteristic variables of location (urban/rural), and NACHRI hospital type (children's/general hospital/children's unit in a general hospital). This analysis also examines the inpatient utilization of Alcohol and Drug Rehabilitation/Detoxification (CCS Procedure 219) and Psychological and Psychiatric Evaluation and Therapy (CCS Procedure 218) for patients admitted for substance abuse and the discharge disposition of these patients.

We examined the distribution of substance abuse discharges within the demographic categories listed above. All frequencies are presented as national estimates calculated using the appropriate sampling weights. Category-specific admissions were described using two rates: admission rate per 1000 adolescent hospitalizations and, where possible, admission rate per 100,000 population based on the 2000 US Census [22]. Logistic regression was used to generate adjusted odds ratios (AOR) for hospitalizations with an SA diagnosis among hospitalized adolescents controlling for all studied variables. Significance of coefficients from logistic regression model was tested using a Wald Chi-squared test with 1 degree of freedom. We also examined the average cost and length of stay by diagnosis group. Means are presented as national averages using appropriate weights. All analyses used recommended procedures for calculating variances in the National Inpatient Sample [23]. Analyses were conducted using the SURVEYFREQ, SURVEYMEANS, and SURVEYLOGISTIC procedures in SAS © statistical analysis software [24].

The sample size for this study is extremely large; therefore, small, clinically-insignificant differences between groups are likely to be statistically significant using p-values of 0.05. For that reason and because of the number of comparisons being tested, we consider only p-values less than or equal to 0.01 to be meaningful.


Patient characteristics

In 2000, an estimated 9,371 discharges with a principal diagnosis of substance abuse occurred nationally for youth aged 12 to 17. Given that there were an estimated 778,813 admissions in this period for youth between 12 and 17, this represents 12 of every 1000 inpatient visits in the age group. More than one third of SA admissions (38%) were coded as drug dependence and another third (35%) were for non-dependent use of alcohol or drugs. Over thirteen percent were coded as alcohol dependence syndrome and 11.6% were coded as drug-related psychoses. Alcohol-related psychoses were least common (1.7%) in this age group. Table 1 describes the demographic characteristics of admissions and compares rates across groups.

Table 1 Characteristics of adolescent substance abuse acute care admissions and admission rates by category

Table 2 presents odd ratios from a logistic regression model including all of the study variables. Admissions for boys were more likely to involve SA than admissions for girls, with 1.97 percent of male admissions having an SA principal diagnosis compared to 0.71 percent of female admissions (AOR = 3.3, 95% Confidence Interval (CI) 3.0–3.7). Admissions for older children were, also, more commonly SA (AOR = 2.1, 95% CI 2.0–2.4) than those for younger children.

Table 2 Logistic regression model for adolescent substance abuse admission

Self- pay (AOR = 1.4, 95% CI 1.2–1.6) and "other" payer admissions (AOR = 3.2, 2.8–3.7) were significantly more likely than private pay admissions to be for substance abuse while government pay admissions were slightly less likely. Admissions in general hospitals (AOR = 9.9, 95% CI 7.5–13.1) were considerably more likely to be for SA than those in Children's hospitals.

Half (50.9 percent) of principal SA admissions included a non-drug, mental health diagnosis coded as a secondary or lower diagnosis. Common mental health co-morbidities included conduct disorder and adjustment reaction disorder (39%), affective disorders (15%), and anxiety (10%).

Comparative volume, charges and length of stay

Table 3 presents length of stay and charges by diagnosis category. Total charges for visits with principal diagnoses of substance abuse averaged $7,088 and length of stay averaged 8.9 days. Based on this sample, total inpatient charges for adolescent substance abuse admissions in the U.S. in 2000 exceeded $66 million. Visits for drug dependence were most expensive with average charges of $10,287 and average LOS of 14.5 days. The least expensive admissions were for alcohol psychoses with charges of $3,413 and LOS of 3.35.

Table 3 Mean charges and lengths of stay (LOS) by diagnostic group for admission with a principal diagnosis of substance abuse

The combined principal CCS categories of drug-related and alcohol-related mental health conditions rank as the 26th most common diagnosis category for adolescents. Excluding childbirth-related CCS categories these substance abuse diagnoses rank 17th. Figure 1 compares volume and charges for substance abuse to the top five principal CCS categories for adolescents: affective disorders (CCS 68), appendectomy (CCS 142), other mental conditions (non-psychotic) (CCS 74), asthma (CCS 128), and lower extremity fracture (CCS 230).

Figure 1
figure 1

Annual charges for adolescent substance abuse admissions compared to the top five CCS primary diagnosis categories by percent of admissions. Estimated total U.S. hospital charges for adolescent admissions to acute care hospitals by primary CCS diagnosis category. * Percent of total adolescent admissions. ** Combines CCS 66 Alcohol-related mental disorders and CCS 67 Substance-related mental disorders

Inpatient procedures and discharge disposition

Alcohol and drug rehabilitation/detoxification, alone or in combination with psychological and psychiatric evaluation and therapy, was documented for 38 percent of admissions. An additional six percent of admissions received psychological or psychiatric care alone. The remaining 56 percent of cases had no documentation of treatment specific to substance use behavior. Probability of drug/alcohol treatment varied greatly by principal diagnoses. While over 50 percent of admissions with diagnoses of alcohol psychoses, alcohol dependence syndrome, or drug dependence received alcohol/drug and/or mental health treatment; the treatment rate was less than 20 percent for admissions with diagnoses of non-dependent drug/alcohol use or drug psychoses. Table 3 summarizes treatments and discharge dispositions by principal diagnosis.

Most adolescent admissions for substance abuse resulted in routine discharges to home (82%), however, 7.6 percent were discharged to another type of facility, which could include skilled nursing facilities or inpatient drug treatment centers. Transfer to another type of facility was highest for patients with alcohol- or drug-related psychoses, 12.9% and 9.1% percent respectively. Overall, 6.8 percent of admissions left against medical advice (AMA). AMA discharges were highest for admissions with a principal diagnosis of drug dependence (11.4%). None of the admissions with a primary diagnosis of substance use died in hospital but this finding may simply be the result of the coding of proximal cause of death as the primary diagnosis in these cases.


There were over 9,000 admissions for substance abuse-related primary diagnoses at US acute care hospitals in the year 2000, with over 85% admitted to facilities not designated as Children's hospitals. Most admissions are related to drug dependency or drug/alcohol use. Not surprisingly, drug and alcohol psychoses, which are associated with long-term drug and alcohol use, were the least common. Comparison of substance abuse admissions to the top five non-childbirth-related principal admissions diagnoses by volume and charges shows that these substance abuse admissions do not trail far behind commonly researched adolescent conditions such as asthma.

Demographic characteristics of admissions were largely consistent with expectations. Our analysis found that admissions disproportionately included boys and tend to be clustered in older children. These finding are consistent with national epidemiologic data on drug abuse from the Youth Risk Behavior Survey conducted by the Centers for Disease Control and Prevention [25]. Also as expected, this study found a clear linkage between substance abuse and mental health diagnoses. Our estimate of 51% co-morbidity is consistent with that from other epidemiologic studies [9, 26, 27].

Substance abuse admission rates were significantly higher for self-pay patients and those covered by other insurers (i.e. CHAMPUS, Title V, Indian Health Service). The finding for other insurers is likely a reflection of the eligibility criteria for those insurance types while the self-pay finding may, in fact, be indicative of a lack of access to other types of treatment for the uninsured population.

Analysis of treatment patterns seems to suggest noteworthy opportunity for improvement in providing alcohol/drug and mental health care to adolescents admitted to short-stay general hospitals for substance abuse. Less than half of the admissions in this study had either alcohol/drug rehabilitation or psychological or psychiatric evaluation or treatment. Over 80% of patients with a principal diagnosis of non-dependent drug/alcohol use had no documented treatment. We note that it is possible that the seven percent of patients who were transferred to another type of facility upon discharge were transferred to facilities providing substance abuse treatment. It is also possible that patients are receiving brief interventions for substance abuse that are not coded in administrative data. Even given these possibilities, however, there appears to be opportunity for improvement in treatment.

The findings from this study point to specific actions for improvement of the care of adolescents with substance abuse disorders in the inpatient setting. The low rates of treatment recorded in administrative records among those admitted with a diagnosis of substance abuse raise serious concern. While it must be acknowledged that acute care hospitalization has increasingly emphasized medical stabilization and safety in an era of managed care, the very low rates of treatment initiation reported likely represent an opportunity for improvement in care. Other adolescent patients with chronic disorders subject to bouts of acute hospitalization, for example diabetes, receive intensive disease education and interventions during their inpatient admissions. Patients with substance abuse disorders deserve no less. Unfortunately, the failure to initiate treatment may be less due to a lack of initiative than to a lack of access to capable therapists with adolescent expertise. Severe shortages of specialty-certified and trained providers are reality in most of the U.S. and that is unlikely to be resolved soon.

Based upon these findings, we recommend that general and children's hospitals develop practice guidelines that clearly delineate a process for caring for adolescents presenting with substance abuse problems. These guidelines should outline the importance of brief intervention and of inpatient referral for substance abuse and mental health counseling. Recognizing that many hospitals may not have access to sufficient inpatient resources to address such referrals, guidelines should also provide contact information for resources available through other hospitals and in the community. Hospitals may, by improving their practices, play an important role in the continuing problem of adolescent substance abuse.

Because the HCUP-Kid database represents a "snap shot" of a single setting of care it is not possible to determine what if any healthcare these admitted patients had received prior to admission. We can however assume that these patients fall into two primary groups: 1) those who have not yet been clinically identified or referred to treatment, "the undiagnosed" and 2) those who have been clinically recognized with substance abuse problems but have not fully recovered, "the undertreated". For the "undiagnosed" population, the hospital admission serves as an opportunity for both problem recognition and treatment. Given that many adolescents, particularly the uninsured, rely on hospital emergency departments as their source for primary care, hospitalization may represent a teen's only interaction with the healthcare system [28, 29]. These admissions truly represent opportunities that should not be missed. On the other hand, in the "undertreated" population, the hospital serves not as an early intervener but as a "safety net". In these cases, the hospital should serve to reinforce messages from treatment programs and to refer individuals back into treatment, when necessary.

Several limitations of this study should be noted. First the ICD coding criteria for substance abuse were developed for adults. Because of this, some adolescents with clinically significant substance abuse problems will not meet the qualifications for diagnosis of substance abuse [26]. This would lead our study to underestimate the prevalence of substance abuse in admitted patients. Second, our study focuses on cases with a principal diagnosis of abuse. In truth, in some cases, the decision as to which diagnosis is coded as principal is a matter of judgment by the clinician and the coding staff, therefore focusing on primaries only may exclude some cases in which SA was as important as the listed principal diagnosis.

Another limitation to this study is the lack of a unique patient identifier on admissions. Because no unique patient code is consistently available, we cannot determine the number of individual patients represented in our 9,371 admissions. It is possible that these visits are generated by a relatively small number of patients being seen a large number of times. While this potential overestimate of the number of individuals admitted would not bias the estimated impact of substance abusers on the acute care hospital system, it would lead to an overestimation of the extent of undiagnosed or under-treated adolescent substance abusers.

A final limitation is the lack of appropriate data for race and ethnicity. According to AHRQ, 21% of states do not report race in their data submission and 22% of states that do submit race data have missing race data on over 20% of records. This reporting inconsistency between and within states make national racial estimates unreliable and therefore limits our ability to study potential racial differences which could be indicative of disparities in case recognition and treatment.


More than one percent of acute care hospitalizations of adolescents have a substance abuse related principal diagnoses. While this may seem low it should be noted that the same data source estimates that appendicitis and asthma, conditions frequently discussed as important inpatient care diagnoses for children, represent only 4.7 and 2.3 percent of principal diagnoses, respectively. The inpatient admission for substance abuse, with its associated long length of stay, provides an excellent opportunity for healthcare providers to assess patients, offer brief interventions, provide counseling, and plan for follow-up care. In order to maximize the quality of care provided to adolescents with problem substance use, hospitals must develop treatment protocols and community linkages that facilitate long-term recovery.

Table 4 Treatment and Discharge Disposition by ICD-9-CM Principal Diagnosis


  1. Johnston LD, O'Malley PM, Bachman JG, Schulenberg JE: Monitoring the Future National Results on Adolescent Drug Use: Overview of Key Findings, 2003 (NIH Publication No. 04-5506). 2004, Bethesda, MD , National Institute on Drug Abuse

    Google Scholar 

  2. Walsh JM, Flegel R, Cangianelli LA, Soderstrom CA, Kerns TJ: Epidemiology of alcohol and other drug use among motor vehicle crash victims admitted to a trauma center. Traffic Injury Prevention. 2004, 5: 254-260. 10.1080/15389580490465319.

    Article  PubMed  Google Scholar 

  3. Barnes GM, Welte JW, Hoffman JH: Relationship of alcohol use to delinquency and illicit drug use in adolescents: Gender, age, and racial/ethnic differences. Journal of Drug Use Issues. 2002, 32 (1): 153-178.

    Article  Google Scholar 

  4. Gruber E, DiClemente RJ, Anderson MM, Lodico M: Early drinking onset and its association with alcohol use and problem behavior in late adolescence. Preventive Medicine. 1996, 25 (3): 293-300. 10.1006/pmed.1996.0059.

    Article  CAS  PubMed  Google Scholar 

  5. Grant BF, Dawson DA: Age at onset of alcohol use and its association with DSM-IV alcohol abuse and dependence: results from the National Longitudinal Alcohol Epidemiologic Survey. Journal of Substance Abuse. 1997, 9: 103-110. 10.1016/S0899-3289(97)90009-2.

    Article  CAS  PubMed  Google Scholar 

  6. Robins LN, Przybeck TR: Age of onset of drug use as a factor in drug and other disorders. NIDA Research Monograph. 1985, 56: 178-192.

    CAS  PubMed  Google Scholar 

  7. Bukstein O: Practice parameters for the assessment and treatment of children and adolescents with substance use disorders. American Academy of Child and Adolescent Psychiatry. Journal of the American Academy of Child and Adolescent Psychiatry. 1997, 36 (10 Suppl): 140S-56S.

    Article  CAS  PubMed  Google Scholar 

  8. Knight JR: The Role of Primary Care in Preventing and Treating Alcohol Problems in Adolescents. Ambulatory Pediatrics. 2001, 1 (3): 150-161. 10.1367/1539-4409(2001)001<0150:TROTPC>2.0.CO;2.

    Article  CAS  PubMed  Google Scholar 

  9. Scott M, Parthasarathy S, Kohn C, Hinman A, Sterling S, Weisner C: Adolescents with substance diagnoses in an HMO: factors associated with medical provider referrals to substance abuse and mental health treatment. Mental Health Services Research. 2004, 6 (1): 47-60. 10.1023/B:MHSR.0000011256.70502.ed.

    Article  PubMed  Google Scholar 

  10. Gregor MA, Shope JT, Blow FC, Maio RF, Weber JE, Nypaver MM, Johnston BD, Rivara FP, Droesch RM, Dunn C, Copass MK: Feasibility of using an interactive laptop program in the emergency department to prevent alcohol misuse among adolescents. Annals of Emergency Medicine. 2003, 42 (2): 276-284. 10.1067/mem.2003.265.

    Article  PubMed  Google Scholar 

  11. Johnston BD, Rivara FP, Droesch RM, Dunn C, Copass MK: Behavior change counseling in the emergency department to reduce injury risk: a randomized, controlled trial. Pediatrics. 2002, 110 (2 Pt 1): 267-274. 10.1542/peds.110.2.267.

    Article  PubMed  Google Scholar 

  12. Kunz FM, French MT, Bazargan-Hejazi S: Cost-effectiveness analysis of a brief intervention delivered to problem drinkers presenting at an inner-city hospital emergency department. Journal of Studies on Alcohol. 2004, 65 (3): 363-370.

    Article  PubMed  Google Scholar 

  13. Monti PM, Colby SM, Barnett NP, Spirito A, Rohsenow DJ, Myers M, Woolard R, Lewander W: Brief intervention for harm reduction with alcohol-positive older adolescents in a hospital emergency department. Journal of Consulting and Clinical Psychology. 1999, 67 (6): 989-994. 10.1037/0022-006X.67.6.989.

    Article  CAS  PubMed  Google Scholar 

  14. Spirito A, Monti PM, Barnett NP, Colby SM, Sindelar H, Rohsenow DJ, Lewander W, Myers M: A randomized clinical trial of a brief motivational intervention for alcohol-positive adolescents treated in an emergency department. The Journal of Pediatrics. 2004, 145 (3): 396-402. 10.1016/j.jpeds.2004.04.057.

    Article  PubMed  Google Scholar 

  15. McLellan AT, Myers K: Contemporary Addiction Treatment: A review of systems problems for adults and children. Biological Psychiatry. 2004, 56: 764-770. 10.1016/j.biopsych.2004.06.018.

    Article  PubMed  Google Scholar 

  16. Belenko S, Logan TK: Delivering More Effective Treatment to Adolescents: Improving the Juvenile Drug Court Model. Journal of Substance Abuse Treatment. 2003, 25: 189-211. 10.1016/S0740-5472(03)00123-5.

    Article  PubMed  Google Scholar 

  17. O'Toole TP, Strain EC, Wand G, McCaul ME, Barnhart M: Outpatient treatment entry and health care utilization after a combined medical/substance abuse intervention for hospitalized medical patients. Journal of General Internal Medicine : Official Journal of the Society for Research and Education in Primary Care Internal Medicine. 2002, 17 (5): 334-340.

    Article  Google Scholar 

  18. HCUP: Design of the HCUP Kids Inpatient Database (KID), 2000. 2003, Rockville, MD , Agency for Health Care Research and Quality

    Google Scholar 

  19. Elixhauser A, Steiner C, Palmer L: Clinical Classifications Software (CCS), 2006. Edited by: Quality USAHR. 2006, U.S. Agency for Healthcare Reasearch and Quality

    Google Scholar 

  20. U.S. Census Bureau: US Census 2000 Summary File 1. American FactFinder.

  21. Houchens R, Elixhauser A: Final Report on Calculating National Inpatient Sample (NIS) Variances, 2001. HCUP Series Report #2003-2. 2005, U.S. Agency for Healthcare Research and Quality

    Google Scholar 

  22. SAS Institute Inc: SAS Statistical Analysis Software. 2003, Cary, NC , 9.3.1

    Google Scholar 

  23. McKay AP, Fingerhut LA, Duran CR: Adolescent Health Chartbook. Health, United States, 2000. 2000, Hyattsville, MD , National Center for Health Statistics

    Google Scholar 

  24. Clark DB, Bukstein O, Cornelius J: Alcohol use disorders in adolescents: epidemiology, diagnosis, psychosocial interventions, and pharmacological treatment. Paediatric Drugs. 2002, 4 (8): 493-502.

    Article  PubMed  Google Scholar 

  25. Simkin DR: Adolescent substance use disorders and comorbidity. Pediatric Clinics of North America. 2002, 49 (2): 463-477. 10.1016/S0031-3955(01)00014-1.

    Article  PubMed  Google Scholar 

  26. Strickland B, McPherson M, Weissman G, van Dyck P, Huang Z, Newacheck P: Access to the Medical Home: Results of the National Survey of Children with Special Needs. Pediatrics. 2004, 113 (5): 1485-1492.

    PubMed  Google Scholar 

  27. Weinick RM, Zuvekas SH, Cohen JW: Racial and ethnic differences in access to and use of health care services. Medical Care Research and Review. 2000, 57 (Suppl 1): 36-54. 10.1177/107755800773743592.

    Article  PubMed  Google Scholar 

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This study was funded in part by National Institute of Drug Abuse Grant #3R01DA018943-02S1 and by the Center for Innovation in Pediatric Practice at the Columbus Children's Research Institute.

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Correspondence to Deena J Chisolm.

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DJC was lead developer of the manuscript and was responsible for conception and design of the study, data analysis, and drafting of the manuscript. KJK participated in design and conception of the study and provided critical revisions for important clinical content. Both authors have given final approval of this manuscript.

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Chisolm, D.J., Kelleher, K.J. Admission to acute care hospitals for adolescent substance abuse: a national descriptive analysis. Subst Abuse Treat Prev Policy 1, 17 (2006).

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