The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Prodromal Assessment With the Structured Interview for Prodromal Syndromes and the Scale of Prodromal Symptoms: Predictive Validity, Interrater Reliability, and Training to Reliability
Open accessAbstract
As the number of studies related to the early identification of and intervention in the schizophrenia prodrome continues to grow, it becomes increasingly critical to develop methods to diagnose this new clinical entity with validity. Furthermore, given the low incidence of patients and the need for multisite collaboration, diagnostic and symptom severity reliability is also crucial. This article provides further data on these psychometric parameters for the prodromal assessment instruments developed by the Prevention through Risk Identification, Management, and Education (PRIME) prodromal research team at Yale University: the Structured Interview for Prodromal Syndromes and the Scale of Prodromal Symptoms. It also presents data suggesting that excellent interrater reliability can be established for diagnosis in a day-and-a-half-long training workshop.
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Citations
Cites
Psychosis prediction: 12-month follow up of a high-risk ("prodromal") group
Yung, A. R., Phillips, L. J., Yuen, H. P., Francey, S. M., McFarlane, C. A., Hallgren, M., & McGorry, P. D. (2003) · Schizophrenia Research · doi:10.1016/s0920-9964(02)00167-6 · Cited by 1,136
Training and quality assurance with the structured clinical interview for DSM-iV (SCID-I/P)
Ventura, J., Liberman, R. P., Green, M. F., Shaner, A., & Mintz, J. (1998) · Psychiatry Research · doi:10.1016/s0165-1781(98)00038-9 · Cited by 591 · cited 1×
“We know that diagnostic measures and operational criteria for diagnostic classification improve the reliability of diagnosis (Feighner et al. 1972; Luria and Berry 1979; Andreasen et al. 1982; Williams et al. 1992; Ventura et al. 1998).”
BackgroundSelf-citationMiller, T. J., Zipursky, R. B., Perkins, D., Addington, J., Woods, S. W., Hawkins, K. A., Hoffman, R., Preda, A., Epstein, I., Addington, D., et al. (2003) · Schizophrenia Research · doi:10.1016/s0920-9964(02)00440-1 · Cited by 150
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Cited by
The Psychosis High-Risk State: A Comprehensive State-of-the-Art Review
Fusar-Poli, P., Borgwardt, S., Bechdolf, A., Addington, J., Riecher-Rössler, A., Schultze-Lutter, F., Keshavan, M., Wood, S., Ruhrmann, S., Seidman, L. J., et al. (2013) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2013.269 · Cited by 1,483
Self-citationPredicting Psychosis: Meta-analysis of Transition Outcomes in Individuals at High Clinical Risk
Fusar-Poli, P. (2012) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2011.1472 · Cited by 1,361
Cannon, T. D., Cadenhead, K., Cornblatt, B., Woods, S. W., Addington, J., Walker, E., Seidman, L. J., Perkins, D., Tsuang, M., McGlashan, T., et al. (2008) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2007.3 · Cited by 1,269
Self-citationAutomated analysis of free speech predicts psychosis onset in high-risk youths
Bedi, G., Carrillo, F., Cecchi, G. A., Slezak, D. F., Sigman, M., Mota, N. B., Ribeiro, S., Javitt, D. C., Copelli, M., & Corcoran, C. M. (2015) · npj Schizophrenia · doi:10.1038/npjschz.2015.30 · Cited by 673
Ruhrmann, S., Schultze-Lutter, F., Salokangas, R. K. R., Heinimaa, M., Linszen, D., Dingemans, P., Birchwood, M., Patterson, P., Juckel, G., Heinz, A., et al. (2010) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2009.206 · Cited by 632
Metadata
- Authors
- Miller, T. J., McGlashan, T. H., Rosen, J. L., Cadenhead, K., Ventura, J., McFarlane, W., Perkins, D. O., Pearlson, G. D., & Woods, S. W.
- Venue
- Schizophrenia Bulletin
- Publisher
- Oxford University Press (OUP)
- Published
- 2003-01-01
- Volume
- 29
- Issue
- 4
- Pages
- 703-715
- ISSN
- 0586-7614 (ISSN-L)
- 1745-1701
- OpenAlex
- W1990043440
- Cited by
- 1,798
- References
- 3
- FWCI
- 7.20
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.
