These pages use javascript to create fly outs and drop down navigation elements.

Alcohol Clinical Index (ACI)

Please note that this section is an archive (last updated in June 2006). [disclaimer]

Sections:   Overview | Instrument Reviews | Construct Overviews | Book Compendium Reviews | Internet Site Reviews

Created 2002 September 19
Jump To A Section

Practical Information | Research Contacts | Annotated Bibliography | Factors & Norms | Reliability Evidence | Validity Evidence | Comments | Updates | Feedback

Practical Information

Instrument Name:

Alcohol Clinical Index (ACI)

Instrument Description:

The ACI is a 30-item instrument used by health professionals to identify alcohol problems among clinical patients and to detect the severity of those problems (abuse and dependence). The two subscales of the ACI include the Clinical Signs Checklist (CSC; 17 items) to be completed by the health professional and the Medical History Questionnaire (MHQ; 13 items) to be completed by the patient. The ACI was developed to be used in adults as part of a clinical examination, and can also be used as a method for finding patients for research purposes. (Ref: 1)

Price:

The manual (including the ACI) is $9.75 and a packet of 50 questionnaires is $9.95.

Administration Time:

15 minutes

Publication Year:

1987

Item Readability:

The Clinical Signs Checklist is written in language that should be understood by physicians. The Medical History Questionnaire is written at around a sixth grade level. Most of the MHQ questions have fewer than 10 words.

Scale Format:

Dichotomous: Present/not present, yes/no.

Administration Technique:

The Clinical Signs subscale of the ACI is to be administered by a health professional through physical examination. The Medical History Questionnaire is self-administered or given through interview.

Scoring and Interpretation:

Researchers have defined Clinical Signs greater or equal to four or Medical History responses greater or equal to four as indicative of a high probability (greater than 0.90) of alcohol abuse or dependence. The authors suggest that a higher cut-score in older populations and a lower cut-score in younger populations might be needed. (Ref: 3) Cut-off points were determined using patients whose mean age was less than 40 years (two-thirds between ages 27 and 49). (Ref: 1)

Forms:

No information found.

Research Contacts

Instrument Developers:

Harvey A. Skinner and Stephen Holt

Instrument Development Location:

Addiction Research Foundation
33 Russell Street
Toronto, Ontario, Canada M5S 2SI
416-595-6000

Instrument Developer Email:

No information found.

Instrument Developer Website:

No information found.

Annotated Bibliography

1. Skinner HA, Holt S. The Alcohol Clinical Index: Strategies for Identifying Patients With Alcohol Problems. Toronto: Addiction Research Foundation, 1987.
Purpose: This is the ACI manual.
Sample: Not-applicable
Methods: Not-applicable
Implications: Not-applicable

2. Skinner HA, Holt S, Sheu WJ, Israel Y. Clinical versus laboratory detection of alcohol abuse: the alcohol clinical index. Br Med J (Clin Res Ed). 1986 Jun 28;292(6537):1703-8. [PMID: 3089362]
Purpose: To determine reliable indicators of alcohol abuse.
Sample: 131 outpatients with alcohol problems, 131 social drinkers and 52 patients from a family practice. Participants had a mean age of 38 years (SD 11) and were approximately two-thirds male.
Methods: Information was collected on 108 clinical and laboratory tests from a review of the literature. These tests were used to evaluate 314 subjects who made up the three groups. The outpatients with alcohol problems were matched on age and sex with the social drinkers, and compared. The group of family practice patients was included to make the results applicable to general practice. Each patient had a physical exam, received self-administered medical history and alcohol intake questionnaires, completed blood samples and were administered the Michigan Alcoholism Screening Test (MAST.
Implications: Results from clinical examination were more accurate than lab tests for detecting abuse. Analyses showed that 17 clinical signs and 13 medical history items formed a diagnostic instrument (the ACI).

3. Alterman AI, Gelfand LA, Sweeney KK.. The Alcohol Clinical Index in lower socioeconomic alcohol-dependent men. Alcohol Clin Exp Res. 1992 Oct;16(5):960-3. [PMID: 1443435]
Purpose: To validate the ACI among a group of 40 alcoholic men (veterans) undergoing treatment at VAMC and 17 nonalcoholic men treated at a VAMC Outpatient Clinic.
Sample: 40 alcoholic and 17 nonalcoholic men. In the alcoholic group, none were over 65 years old (mean=45.3), were 77.5% black, had 11.8 years of education, reported drinking three or more times per week for 16.9 years, and average age of drinking onset was 21.6 years old. In the nonalcoholic group, none were over 65 years old (mean=41.1), had 13.0 years of education, were 70.6% black, and reported drinking 0.75 ounces per day.
Methods: The ACI was administered to a group of outpatient alcoholic men and a group of outpatient nonalcoholic men. A diagnosis was initially made by an unstructured psychiatric interview using DSM-III-R criteria. In addition, alcoholic subjects were given the Addiction Severity Index and a physical examination, while nonalcoholic patients were given a brief interview on demographics and alcohol consumption.
Implications: The Clinical signs subscale showed high sensitivity but poor specificity, while the Medical history subscale showed more moderate sensitivity and 100% specificity at a cut-score of >=2.The Medical History questionnaire could be used to distinguish between alcoholic and nonalcoholic groups.

4. Escobar F, Espi F, Canteras M. Diagnostic tests for alcoholism in primary health care: compared efficacy of different instruments. Drug Alcohol Depend. 1995 Dec;40(2):151-8. [PMID: 8745137]
Purpose: To To validate tests used in diagnosing alcoholism in primary care in Spain and compare diagnostic efficacy.
Sample: 219 randomly selected Spanish patients (over15 years old) who completed the CAGE questionnaire at an urban health center. The majority were male, married, had finished high school and were actively employed.
Methods: Patients were given the CAGE questionnaire. Those answering CAGE-positive were asked to participate further, and for each CAGE-positive subject a CAGE-negative subject also participated. Each patient was given the ACI and a study protocol questionnaire, and interviewed using DSM-III criteria in order to diagnosis them with abuse or dependence. They were then referred for blood sample tests.
Implications: In this Spanish sample, the ACI showed similar diagnostic efficacy to the laboratory tests, however, it had a lower specificity and higher sensitivity than previous findings. In this study, the CAGE questionnaire was most efficacious.

top

Factors and Norms

Factor Analysis Work:

No information found.

Normative Information Availability:

No information found.

Reliability Evidence

Test-retest:

No information found.

Inter-rater:

No information found.

Internal Consistency:

No information found.

Alternate Forms:

No information found.

Validity Evidence

Construct/ Convergent/ Discriminant:

The average daily alcohol consumption was greater for ACI-positives than ACI-negatives when ACI positives were defined as those with four or more clinical signs or clinical history. The score on the ACI Clinical Signs subscale and the quantity of alcohol consumed were found to be significantly correlated (r=0.35, p<0.001). The correlation between the quantity of alcohol consumed and the Clinical History subscale was not significant. (Ref: 2)

Criterion-related/ Concurrent/ Predictive:

In a Spanish sample, sensitivity was 20.37% and specificity was 97.57% on the ACI CSC subscale; sensitivity was 16.67% and specificity was 87.27% on the ACI MHQ subscale; sensitivity was 27.78% and specificity was 85.45% on the ACI CSC and MHQ combined. (Ref: 2) The ACI Clinical Signs Checklist with a cut score of 4 had a sensitivity of 75% and specificity of 93% for distinguishing alcohol patients from social drinkers. The ACI Medical History had a sensitivity of 69% and specificity of 94%. For distinguishing alcohol outpatients from family practice patients, the ACI Clinical Signs Checklist had a sensitivity of 75% and specificity of 99% and the Medical History had a sensitivity of 69% and specificity of 94%. (Ref: 3) Mean scores on the ACI clinical signs and clinical history subscales were higher in an alcoholic group than a nonalcoholic comparison group: 5.78 vs. 4.06 on clinical signs and 3.63 vs. 0.41 on medical history. Alcoholics had significantly (p<0.05) higher scores on only one of the 17 clinical signs items (#3). The alcoholic group scored significantly higher on 6 of the 13 history items (#7-10, 12 and 13). (Ref: 4) An evaluation of 57 veterans, primarily African Americans, using cut-offs of ³ 4 items for each subscale yielded sensitivities and specificities of 83% and 29%, respectively, for the CSC, and 53% and 100% for the MHQ. Joint sensitivity and specificity was not evaluated. Further, a cut-off of ³ 2 items was shown to maximize sensitivity and specificity for the MHQ in this sample. (Ref:4)

Content:

No information found.

Responsiveness Evidence:

In the developmental article, when the clinical signs and medical history items are combined in the ACI, using the cut-off score of 4 items on either subscale produced sensitivity of 89% and specificity from 88-92%. (Ref: 3)

In a Spanish sample, sensitivity was 20.37% and specificity was 97.57% on the ACI Clinical signs subscale; sensitivity was 16.67% and specificity was 87.27% on the ACI Clinical history subscale; sensitivity was 27.78% and specificity was 85.45% on the ACI Clinical signs and history combined. (Ref: 2)

Scale Application in VA Populations:

Yes. (Ref: 4)

Scale Application in non-VA Populations:

Yes, 219 Spanish patients and 314 presumably Canadian patients. (Ref: 2-3)

Comments


The ACI was developed to identify alcohol problems among clinical patients and to detect the severity of those problems. The ACI was designed to be completed in a clinical setting, and has both clinician-completed and patient-completed components. Theoretically, these components are free-standing, so that the patient-completed sections could be filled out as the patient waited to see a physician, or embedded in a larger instrument battery (e.g., a self-reported health history).

The sensitivity of the CSC and MHQ appear quite good in the samples reported by the developers. However, other investigators have not found the same jointly-high sensitivity and specificity indices. This may partly be due to the differences in the samples used by these investigators (Spanish citizens in one case and American veterans (primarily African Americans) in the other), although the joint sensitivity and specificity on the American veterans was not actually assessed. At the least, these differences raise the possibility that the psychometric properties of the CSC and MHQ subscales are sensitive to cultural differences – apparently more so for the Spanish patients than for the American veterans. On the positive side, the specificities of the CSC and MHQ seem good across all samples. To our knowledge, no reliability information has been reported on the ACI. Further research to examine interrater and test-retest reliability would be beneficial. In addition, further testing of the ACI over time to examine the responsiveness of the measure would also be helpful.

Since self-reports of alcohol consumption tend to be negatively biased due to the fact that large amounts of alcohol consumption are considered socially undesirable, further study into the ways social desirability bias affect participants’ responses to the ACI Medical History questions would be interesting.