Addiction Severity Index Data Research Articles

Hospital Admission Rate, Cumulative Hospitalized Days, and Time to Admission Among Older Persons With Substance Use and Psychiatric Conditions.

BackgroundSubstance use among older persons occurs with medical and psychiatric comorbidities. This study examined the associations of substance use disorder (SUD), psychiatric, and dual diagnoses with 12-month cumulative hospitalized days, hospital admission rate and number of days to first hospitalization.MethodsThe cohort of 3,624 individuals (28.2% women) aged 50 years or older was assessed for substance use severity in 65 Swedish municipalities during March 2003–May 2017. Addiction Severity Index data were linked to hospital discharge records and crime statistics. The outcomes were (a) 12-month cumulative hospitalized days; (b) Hospital admission rate, and (c) days to first hospitalization. Generalized linear regression techniques investigated associations between outcomes and SUD, psychiatric and dual diagnoses at admission.ResultsDuring 2003–2017, 73.5% of the participants were hospitalized. Twelve-month hospitalized days were positively associated with SUD (Incidence rate ratio (IRR) = 1.41, 95%CI: 1.26–1.58), dual diagnosis (IRR = 2.03, 95%CI: 1.74–2.36), and psychiatric diagnoses (IRR = 2.51, 95%CI: 2.09–3.01). Hospital admission rate was positively associated with SUD (IRR = 4.67, 95%CI: 4.28–5.08), dual diagnosis (IRR = 1.83, 95%CI: 1.64–2.04), and psychiatric diagnoses (IRR = 1.73, 95%CI: 1.55–1.92). Days to first hospitalization were negatively associated with SUD (IRR = 0.52, 95%CI: 0.47–0.58), dual diagnosis (IRR = 0.57, 95%CI: 0.50–0.65), and psychiatric diagnoses (IRR = 0.83, 95%CI: 0.73–0.93). The marginal effects of SUD and/or mental disorders increased with age for all outcomes, except for days to first hospitalization.ConclusionThree of four older persons assessed for substance use severity were later hospitalized. Substance use disorders, dual diagnoses and other mental disorders were the primary reasons for hospitalization and were associated with longer stays, earlier hospitalization, and repeated admissions. Sensitizing service providers to old age substance use and sharing data across the care continuum could provide multiple points of contact to reduce the risk of hospitalizations among older persons with problematic substance use.

The Associations between Risky Psychosocial Environment, Substance Addiction Severity and Imprisonment: A Swedish Registry Study

Objective: Both childhood and adult psychosocial stressors have been identified as links to both increased risk for substance use disorder (SUD) and increased risk of imprisonment. The aim of this retrospective study is to identify, for a sample of 14,914 adults who all were assessed for risky substance use or a SUD, the importance of having a history of psychosocial stressors compared to current addiction severity. The analyses control for age, gender and education on the likelihood of future imprisonment. Method: Baseline Addiction Severity Index data (ASI) were merged with national registry data on prison sentences from 2003 to 2016. In the analysis, a Cox regression was used to study the association between independent variables and the likelihood of future imprisonment. Results: In the regression, five variables showed significant association to increased risk of imprisonment: ASI drugs other than alcohol Composite Score (positive relationship), ASI alcohol Composite Score (negative relationship), age (younger), education (lower) and parental problems with drugs other than alcohol. The factor with strongest association with imprisonment was the ASI drugs other than alcohol Composite Score, which showed the highest HR = 10.63 (3.50–32.31) for women and HR = 5.52 (3.77–8.08) for men to predict the likelihood of imprisonment. Discussion: Research is needed on why individuals with history of psychosocial stressors have a higher likelihood of imprisonment compared to their counterparts. Findings indicate that a high ASI Composite Score for drugs other than alcohol are strong predictors of future criminality and criminal justice system involvement.

When does methadone treatment reduce arrest and severity of arrest charges? An analysis of arrest records

This is an analysis of the odds of arrest, severity of charges, and factors predicting these outcomes in the year after methadone treatment entry using arrest records of patients (N=289) participating in two opioid treatment programs (OTPs) in Baltimore, MD as part of a previously-reported study. Baseline Addiction Severity Index data were examined along with publicly-available dates of arrest and arrest charges from the year before and after OTP entry. Severity of charges was rated independently by three researchers using a 1–7 point scale. Data were analyzed using Generalized Estimating Equations and Multiple Regression. The majority of the patients had no arrests over both time periods (61.6% and 65.7%, respectively). Of those arrested, the majority of the sample were charged with non-severe crimes in the year before and after OTP entry (82.9% and 73.7%, respectively). There were no significant differences in the odds of arrest or severity of charges in the year before versus the year after OTP admission (both ps>0.05). Predictors of arrest following admission included an arrest in the year prior to admission (p<0.001), younger age (p<0.001), and more lifetime months of incarceration (p=0.045). Predictors of the higher severity of charges included younger age (p<0.001), African-American race (p=0.032), and more lifetime months of incarceration (p=0.018). While in this population, the odds of arrest and severity of charges did not decrease significantly in the year following OTP entry, we discuss the need to avoid generalizing findings without considering those factors that may influence the likelihood of post-OTP entry arrest.

Incremental predictive validity of the Addiction Severity Index psychiatric composite score in a consecutive cohort of patients in residential treatment for drug use disorders

BackgroundThe Addiction Severity Index (ASI) is a widely used assessment instrument for substance abuse treatment that includes scales reflecting current status in seven potential problem areas, including psychiatric severity. The aim of this study was to assess the ability of the psychiatric composite score to predict suicide and psychiatric care after residential treatment for drug use disorders after adjusting for history of psychiatric care. MethodsAll patients treated for drug use disorders in residential treatment centers in Denmark during the years 2000–2010 with complete ASI data were followed through national registers of psychiatric care and causes of death (N=5825). Competing risks regression analyses were used to assess the incremental predictive validity of the psychiatric composite score, controlling for previous psychiatric care, length of intake, and other ASI composite scores, up to 12years after discharge. ResultsA total of 1769 patients received psychiatric care after being discharged from residential treatment (30.3%), and 27 (0.5%) committed suicide. After adjusting for all covariates, psychiatric composite score was associated with a higher risk of receiving psychiatric care after residential treatment (subhazard ratio [SHR]=3.44, p<0.001), and of committing suicide (SHR=11.45, p<0.001). ConclusionsThe ASI psychiatric composite score has significant predictive validity and promises to be useful in identifying patients with drug use disorders who could benefit from additional mental health treatment.

Associations of Housing Status With Substance Abuse Treatment and Service Use Outcomes Among Veterans

Associations of Housing Status With Substance Abuse Treatment and Service Use Outcomes Among Veterans

Prescription Drug Abuse Among Prisoners in Rural Southwestern Virginia

Non-medical use of prescription medications is on the rise across the U.S., particularly in rural areas. In this study of 233 prisoners and probationers in southwestern Virginia, we add to an emerging profile of individuals abusing prescription medications. In this retrospective review of 2000-2004 augmented Addiction Severity Index data, those abusing prescription medications reported increased illicit drug and alcohol abuse, poly-drug abuse, psychiatric problems, and arrests for property crimes. Forty percent reported abuse of OxyContin®, a drug implicated in a number of deaths in this region. Compared to non-users, OxyContin® users were younger, more likely to be female, and more likely to abuse benzodiazepines, methadone, cocaine, and heroin. Longevity of abuse of these other drugs belies suggestions that OxyContin® was acting as a “gateway” drug leading naïve users into addiction and risk of death.

Using the Addiction Severity Index to Predict Mental and Medical Health Service Utilization

This study assessed the utility of adding the Addiction Severity Index (ASI) to demographic and clinical diagnostic information for the purpose of predicting subsequent substance use disorder service use, and use of other healthcare services by 260 veterans admitted for outpatient substance use disorder treatment. Data collected included demographics, clinical diagnoses, assessment data from the ASI, as well as measures of six-month health service utilization (e.g., substance use disorder services, other mental health services, outpatient medical visits, urgent care visits, inpatient psychiatric and medical). Multivariate analysis using Tobit regression models showed six out of seven ASI scales were significant predictors, and that combining ASI data with demographics and clinical data significantly improved prediction of health care services. It also was found that certain psychiatric and medical diagnoses were related to service use measures, and that a diagnosis of depression was related to overall healthcare utilization.

The Addiction Severity Index at 25: Origins, Contributions and Transitions

The Addiction Severity Index (ASI) is a multi-dimensional interview used to measure the substance use, health, and social problems of those with alcohol and other drug problems, both at admission to treatment and subsequently at follow-up contacts. This article first discusses the conceptual and practical importance of the ASI's multi-dimensional approach to measuring addiction severity, as illustrated by two case presentations. The second section of the paper reviews how this measurement approach has led to some important findings regarding the prediction and measurement of addiction treatment effectiveness. The third section describes the historical and practical considerations that have changed the instrument over time, details the problems with the instrument, and describes our efforts to correct those problems with the ASI-6. Finally, some recent ASI data collected from over 8,400 patients admitted to a nationally representative sample of U.S. addiction treatment programs are presented.

Creating an aggregate outcome index: cost-effectiveness analysis of substance abuse treatment.

This article proposes a method of calculating a practical index of improvement for conducting a cost-effectiveness analysis of substance abuse treatment. While the methodology of cost-effectiveness analysis necessitates the use of a single outcome measure, substance abuse treatment can produce multiple, important outcomes that must be considered in policy decisions about funding and alternative treatments. Thus, there is a need to aggregate the variety of outcomes from substance abuse treatment into a single index. The proposed index is a preference-weighted sum of outcomes using data from the Addiction Severity Index. The methodology and use of the index for conducting a cost-effectiveness analysis are illustrated using Addiction Severity Index data from a controlled quasi-experimental field study of case management.

Women in addictions treatment: comparing VA and community samples

Despite increasing awareness of gender issues in substance use treatment, women with substance use disorders (SUD) and gender-specific treatment remain understudied. This study examines differences, including identification of comorbid issues and patients' perceived treatment needs, between women in different SUD treatment settings: an intensive VA outpatient program (VA; N = 76) and a private residential/outpatient program (Residence XII; N = 308). In both settings the Addiction Severity Index (ASI) was administered at intake; ASI data were collected from retrospective chart review. Results support previous findings that women entering SUD treatment endorse high rates of psychiatric and medical comorbidity, and past abuse. Women in VA SUD treatment experienced more impairment on indices of medical, psychiatric, and employment issues whereas the private agency sample had higher alcohol and family/social composite scores. The differences between and similarities among the two treatment groups have implications for design of women-specific SUD treatment programs.

Suggested specifications for a standardized Addiction Severity Index database.

The Addiction Severity Index (ASI) has become one of the most widely used instruments in the addictions field. As a result of its wide popularity, there are multiple versions of the instrument in use, and a wide range of computer systems used to collect and/or store ASI data. Thus, it has been difficult for different users and systems to share ASI data. This difficulty significantly reduces the value of the information for treatment providers, policy makers, and researchers. This article provides operational definitions and specifications for a "Standard ASI Database." Descriptions for standard variable names, data types, field lengths, value labels, range checks, and programming notes for all items in the fifth edition of the ASI are available electronically from the senior. Examples from the full protocol and the rationale for producing the Standard ASI Database elements are illustrated here. It is hoped that the format suggested will become the "industry standard" for ASI data storage among all users of the ASI and that, regardless of the software used or the method of data collection, there will be a single, standard format for all ASI databases. The potential applications from such a database would benefit treatment providers/clinicians and researchers as well as payers and policy makers.

Addiction severity index data from general membership and treatment samples of HMO members. One case of norming the ASI.

The Addiction Severity Index (ASI) is a widely used interview among substance-dependent populations in treatment. Its value as a treatment planning and evaluation tool has been diminished by the lack of comparative data from nonclinical samples. The present study included four scales from the ASI collected on samples of adult subscribers to a large health maintenance organization (HMO) in northern California, as well as an adult clinical sample from the same geographic region with the same HMO insurance, thereby offering informative contrasts. Interviews (N = 9,398) of non-alcohol-dependent or abuse adults from a random sample of members of a large HMO were analyzed. We collected complete ASI data on the alcohol, drug, medical, and psychiatric composite scales and partial data on the employment scale. A sample of 327 adult members of the same HMO from one of the counties included in the survey, who were admitted to treatment for alcohol and/or drug addiction, was administered the same ASI items at treatment admission. Analyses compare problem severities in the two samples by age and gender. The general membership reported some problems in most of the ASI problem areas, although at levels of severity that were typically far below those seen in the clinical sample. General membership and clinical samples were somewhat similar in medical status and in employment. As expected, alcohol, drug, and psychiatric status were much more severe in the clinical sample. The data from the HMO general membership sample provide one potential comparison group against which to judge the severity of problems presented by drug- and alcohol-dependent patients at treatment admission and at posttreatment follow-up. The authors discuss the implications for treatment planning and the evaluation of treatment outcome.

Prediction of attrition from day hospital treatment in lower socioeconomic cocaine-dependent men

This study attempted to identify predictors of completion of a 27 h/week 4-week day hospital program for cocaine dependence. The research subjects were 95 lower socioeconomic, primarily African American male veterans. Of a wide range of predictor variables available at baseline, including sociodemographic and historical information, Addiction Severity Index data, psychiatric diagnoses, SCL-90 measures, and measures of craving and familial alcoholism, only the cocaine urine toxicology result and self report of days of cocaine use in the past 30 days (log transformed) were significant predictors. The urine toxicology result was the more powerful predictor with 73% with a negative urine completing treatment, as contrasted with 36% with a positive urine. Three additional measures obtained at the end of treatment week 1 further increased ability to predict treatment completion/attrition. Two of these measures were based on counsellor ratings and one was based on the patient's report of psychiatric treatment services received during the first treatment week. Thus, patients at high risk for dropout can be identified fairly early. Whether treatments can be adapted to retain such patients is an important question for the field.

Reliability and validity of the addiction severity index among homeless substance misusers.

Retrospective self-reports of behavior are widely used in alcohol and drug research. However, assessments of the reliability and validity of such data among certain populations are nonexistent. This study examines the ability of the Addiction Severity Index (ASI), a widely used clinical and research instrument, to provide valid and reliable data within a homeless population of drug misusers. The results support the usefulness of the ASI in producing quality data among homeless substance misusers seeking treatment. Qualitative data gathered from field interviewers are used to highlight strategies for enhancing the quality of ASI data in the future.