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Cited by 287

The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.

An Evaluation of the Family History Method for Ascertaining Psychiatric Disorders

Thompson, W. Douglas·1982·Archives of General Psychiatry
DOI 10.1001/archpsyc.1982.04290010031006
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Abstract

This methodologic study assessed the accuracy of family history data in ascertaining psychiatric disorders in relatives. Comparison of diagnoses based on family history with diagnoses based on direct interview indicated that the specificity for the family history method is high, but that the sensitivity is generally low. Accuracy was better for affective disorders and alcoholism than for less severe disorders; spouses and offspring provided more accurate information than parents and siblings. The use of multiple information increased sensitivity somewhat, with little adverse effect on specificity. However, because errors were often correlated when more than one person provided information about a particular relative, the use of multiple informants generally did not improve accuracy substantially. Analysis of family-genetic studies should take account of the differential quality of data obtained by the family history method vs direct interview.

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Metadata

Authors
Thompson, W. D.
Venue
Archives of General Psychiatry
Publisher
American Medical Association (AMA)
Published
1982-01-01
Volume
39
Issue
1
Pages
53
ISSN
0003-990X (ISSN-L)
DOI
10.1001/archpsyc.1982.04290010031006
OpenAlex
W2094171152
Cited by
287
References
25
FWCI
12.84
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: An Evaluation of the Family History Method for Ascertaining Psychiatric Disorders. https://app.cochat.ai/papers/10.1001/archpsyc.1982.04290010031006
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Thompson, W. D. (1982). An Evaluation of the Family History Method for Ascertaining Psychiatric Disorders. Archives of General Psychiatry. https://doi.org/10.1001/archpsyc.1982.04290010031006

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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.