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Cited by 621

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Symptom Monitoring in the Rehabilitation of Schizophrenic Patients

Open access
Lukoff, D., Liberman, R. P., Nuechterlein, K. H.·1986·Schizophrenia Bulletin
DOI 10.1093/schbul/12.4.578
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Abstract

Although precise laboratory methods for measuring psychopathology are not available, interviewer-rated instruments developed to assess symptomatology can be used to monitor schizophrenic patients undergoing rehabilitation. By regularly assessing patients, rehabilitation staff can improve the effectiveness of their interventions. Patients can be screened for high levels of symptomatology which might preclude assignment to rehabilitation programs with high levels of social stimulation. Monitoring the prodromal symptoms of relapse can sometimes prevent florid relapses and sustain a rehabilitative trajectory. Standardized instruments for measuring positive symptoms (e.g., hallucinations, delusions, and conceptual disorganization) and negative symptoms (e.g., affective blunting, amotivation, and asociality) are available. Monitoring target symptoms may be particularly cost effective in the rehabilitation milieu. Use of suggested operational criteria for defining clinical states such as relapse would improve outcome studies on rehabilitation interventions.

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Metadata

Authors
Lukoff, D., Liberman, R. P., & Nuechterlein, K. H.
Venue
Schizophrenia Bulletin
Publisher
Oxford University Press (OUP)
Published
1986-01-01
Volume
12
Issue
4
Pages
578-603
ISSN
  • 0586-7614 (ISSN-L)
  • 1745-1701
DOI
10.1093/schbul/12.4.578
OpenAlex
W2149744398
Cited by
621
References
3
FWCI
2.05
Type
journal article
Language
en
Open access
bronze

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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.