Cargando…

M119. DECONSTRUCTING PSYCHOSIS AND CROSS-VALIDATING THE R-PAS VARIABLES TARGETING ITS CONSTRUCTS

BACKGROUND: Consistent with the contemporary literature that psychosis constructs are best represented as continuous syndromes, this study aims to determine if dimensional psychosis measures outperform traditional categorical measures, thereby improving detection of symptom severity. The Rorschach P...

Descripción completa

Detalles Bibliográficos
Autores principales: Buckingham, Kirsten, Meyer, Gregory J, O’Gorman, Emily T, Mihura, Joni L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7234738/
http://dx.doi.org/10.1093/schbul/sbaa030.431
_version_ 1783535834368049152
author Buckingham, Kirsten
Meyer, Gregory J
O’Gorman, Emily T
Mihura, Joni L
author_facet Buckingham, Kirsten
Meyer, Gregory J
O’Gorman, Emily T
Mihura, Joni L
author_sort Buckingham, Kirsten
collection PubMed
description BACKGROUND: Consistent with the contemporary literature that psychosis constructs are best represented as continuous syndromes, this study aims to determine if dimensional psychosis measures outperform traditional categorical measures, thereby improving detection of symptom severity. The Rorschach Performance Assessment System (R-PAS) contains meta-analytically supported internationally normed scales for assessing disordered thinking and reality testing that have been replicated in many countries. Given the literature trend of utilizing a dimensional approach when assessing psychosis, a dimensional R-PAS scale for assessing disordered thinking was recently developed. Therefore, it is important to determine if this new measure outperforms the traditional measure. We also attempt to replicate recent research by deconstructing the key components of psychosis (e.g., disorganized thinking, hallucinations, and negative symptoms) and evaluating the validity of the R-PAS measures designed to assess these constructs. METHODS: Our study uses an archival clinical sample of 70 male inpatients with schizophrenia, schizoaffective, and major depressive disorder (Mean age = 41.9, Range 20 to 63) that were collected as part of an IRB-approved research project. Two trained diagnosticians independently interviewed the patients using the Structured Clinical Interview for DSM (SCID) and blindly assigned diagnoses as well as Brief Psychiatric Rating Scale (BPRS) ratings. Interrater reliability of their ratings using ICCs will be computed. The Rorschach was administered and relevant R-PAS variables were scored by trained research assistants. The new R-PAS dimensional measure of disorganized thinking (SPCT) will be coded by the first author, and a subset of protocols will be blindly coded by the third author. Interrater reliability will be computed for all variables. RESULTS: First, we will conduct correlational analyses to test the relationship between clinician ratings of disorganized thinking (on the BPRS Conceptual Disorganization and relevant SCID criteria) and the traditional measure of disorganized thinking on R-PAS (WSumCog). We will then use hierarchical regression analyses to determine whether the new dimensionalized measure of disorganized thinking (SPCT) provides incremental prediction of the clinician ratings of disorganized thinking on the BPRS and SCID-P over the traditional R-PAS measure (WSumCog). To replicate previous research, we will test the relationship between negative symptom ratings (on the BPRS and SCID) and R-PAS measures of behavioral, perceptual, and emotional task engagement (Complexity & FQ-%). Further, we anticipate that clinician ratings of delusions (on the BPRS and the SCID) will correlate with R-PAS measures of inaccurate understanding of human intention and action (M-) and illogical thinking (SPCT Illogical Thinking subscale). Lastly, we use correlational analyses to test the relationship between clinician ratings of hallucinations (on the BPRS and SCID) and an R-PAS measure of visual misperceptions (FQ-%). DISCUSSION: Implications of this research provide additional validation for assessing key components of psychosis with a standardized internationally normed measure. Psychosis components (e.g., poor reality testing) limit the accuracy of patients’ self-reported symptoms and inflate rates of misdiagnosis; these R-PAS measures provide a framework for clinicians to behaviorally assess symptoms on a continuum ranging from nonclinical to severe psychosis-level disturbance. This research will aid in more accurate symptom assessment, thereby improving prognosis and treatment planning.
format Online
Article
Text
id pubmed-7234738
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-72347382020-05-23 M119. DECONSTRUCTING PSYCHOSIS AND CROSS-VALIDATING THE R-PAS VARIABLES TARGETING ITS CONSTRUCTS Buckingham, Kirsten Meyer, Gregory J O’Gorman, Emily T Mihura, Joni L Schizophr Bull Poster Session II BACKGROUND: Consistent with the contemporary literature that psychosis constructs are best represented as continuous syndromes, this study aims to determine if dimensional psychosis measures outperform traditional categorical measures, thereby improving detection of symptom severity. The Rorschach Performance Assessment System (R-PAS) contains meta-analytically supported internationally normed scales for assessing disordered thinking and reality testing that have been replicated in many countries. Given the literature trend of utilizing a dimensional approach when assessing psychosis, a dimensional R-PAS scale for assessing disordered thinking was recently developed. Therefore, it is important to determine if this new measure outperforms the traditional measure. We also attempt to replicate recent research by deconstructing the key components of psychosis (e.g., disorganized thinking, hallucinations, and negative symptoms) and evaluating the validity of the R-PAS measures designed to assess these constructs. METHODS: Our study uses an archival clinical sample of 70 male inpatients with schizophrenia, schizoaffective, and major depressive disorder (Mean age = 41.9, Range 20 to 63) that were collected as part of an IRB-approved research project. Two trained diagnosticians independently interviewed the patients using the Structured Clinical Interview for DSM (SCID) and blindly assigned diagnoses as well as Brief Psychiatric Rating Scale (BPRS) ratings. Interrater reliability of their ratings using ICCs will be computed. The Rorschach was administered and relevant R-PAS variables were scored by trained research assistants. The new R-PAS dimensional measure of disorganized thinking (SPCT) will be coded by the first author, and a subset of protocols will be blindly coded by the third author. Interrater reliability will be computed for all variables. RESULTS: First, we will conduct correlational analyses to test the relationship between clinician ratings of disorganized thinking (on the BPRS Conceptual Disorganization and relevant SCID criteria) and the traditional measure of disorganized thinking on R-PAS (WSumCog). We will then use hierarchical regression analyses to determine whether the new dimensionalized measure of disorganized thinking (SPCT) provides incremental prediction of the clinician ratings of disorganized thinking on the BPRS and SCID-P over the traditional R-PAS measure (WSumCog). To replicate previous research, we will test the relationship between negative symptom ratings (on the BPRS and SCID) and R-PAS measures of behavioral, perceptual, and emotional task engagement (Complexity & FQ-%). Further, we anticipate that clinician ratings of delusions (on the BPRS and the SCID) will correlate with R-PAS measures of inaccurate understanding of human intention and action (M-) and illogical thinking (SPCT Illogical Thinking subscale). Lastly, we use correlational analyses to test the relationship between clinician ratings of hallucinations (on the BPRS and SCID) and an R-PAS measure of visual misperceptions (FQ-%). DISCUSSION: Implications of this research provide additional validation for assessing key components of psychosis with a standardized internationally normed measure. Psychosis components (e.g., poor reality testing) limit the accuracy of patients’ self-reported symptoms and inflate rates of misdiagnosis; these R-PAS measures provide a framework for clinicians to behaviorally assess symptoms on a continuum ranging from nonclinical to severe psychosis-level disturbance. This research will aid in more accurate symptom assessment, thereby improving prognosis and treatment planning. Oxford University Press 2020-05 2020-05-18 /pmc/articles/PMC7234738/ http://dx.doi.org/10.1093/schbul/sbaa030.431 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Poster Session II
Buckingham, Kirsten
Meyer, Gregory J
O’Gorman, Emily T
Mihura, Joni L
M119. DECONSTRUCTING PSYCHOSIS AND CROSS-VALIDATING THE R-PAS VARIABLES TARGETING ITS CONSTRUCTS
title M119. DECONSTRUCTING PSYCHOSIS AND CROSS-VALIDATING THE R-PAS VARIABLES TARGETING ITS CONSTRUCTS
title_full M119. DECONSTRUCTING PSYCHOSIS AND CROSS-VALIDATING THE R-PAS VARIABLES TARGETING ITS CONSTRUCTS
title_fullStr M119. DECONSTRUCTING PSYCHOSIS AND CROSS-VALIDATING THE R-PAS VARIABLES TARGETING ITS CONSTRUCTS
title_full_unstemmed M119. DECONSTRUCTING PSYCHOSIS AND CROSS-VALIDATING THE R-PAS VARIABLES TARGETING ITS CONSTRUCTS
title_short M119. DECONSTRUCTING PSYCHOSIS AND CROSS-VALIDATING THE R-PAS VARIABLES TARGETING ITS CONSTRUCTS
title_sort m119. deconstructing psychosis and cross-validating the r-pas variables targeting its constructs
topic Poster Session II
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7234738/
http://dx.doi.org/10.1093/schbul/sbaa030.431
work_keys_str_mv AT buckinghamkirsten m119deconstructingpsychosisandcrossvalidatingtherpasvariablestargetingitsconstructs
AT meyergregoryj m119deconstructingpsychosisandcrossvalidatingtherpasvariablestargetingitsconstructs
AT ogormanemilyt m119deconstructingpsychosisandcrossvalidatingtherpasvariablestargetingitsconstructs
AT mihurajonil m119deconstructingpsychosisandcrossvalidatingtherpasvariablestargetingitsconstructs