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The Michigan Alcoholism Screening Test: The Quest for a New Diagnostic Instrument
Abstract
The Michigan Alcoholism Screening Test (MAST), devised to provide a consistent, quantifiable, structured interview instrument to detect alcoholism, consists of 25 questions that can be rapidly administered. Five groups were given the MAST: hospitalized alcoholics, a control group, persons convicted of drunk driving, persons convicted of drunk and disorderly behavior, and drivers whose licenses were under review. The validity of the MAST was assessed by searching the records of legal, social, and medical agencies and reviewing the subjects' driving and criminal records. The MAST responses of 15 subjects who were found to be alcoholic in the record search were analyzed to determine where the screening failures had occurred. Recommendations are made for reducing the number of such "falsė negatives."
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“Online screening The (a) Michigan Alcoholism Screening Test (MAST; Selzer, 1971) was used to exclude participants that were alcohol dependent (MAST > 4), (b) the Pittsburgh Sleep Quality Index (PSQI; Buysse et al.”
Method
Metadata
- Authors
- SELZER, M. L.
- Venue
- American Journal of Psychiatry
- Published
- 1971-06
- Volume
- 127
- Issue
- 12
- Pages
- 1653-1658
- ISSN
- 0002-953X (ISSN-L)
- 1535-7228
- OpenAlex
- W2109159740
- Cited by
- 3,438
- References
- 0
- FWCI
- 9.55
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
