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Zoupou E, Moore TM, Kennedy KP, Calkins ME, Gorgone A, Sandro AD, Rush S, Lopez KC, Ruparel K, Daryoush T, Okoyeh P, Savino A, Troyan S, Wolf DH, Scott JC, Gur RE, Gur RC. Validation of the structured interview section of the penn computerized adaptive test for neurocognitive and clinical psychopathology assessment (CAT GOASSESS). Psychiatry Res 2024; 335:115862. [PMID: 38554493 PMCID: PMC11025108 DOI: 10.1016/j.psychres.2024.115862] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 02/21/2024] [Accepted: 03/14/2024] [Indexed: 04/01/2024]
Abstract
Large-scale studies and burdened clinical settings require precise, efficient measures that assess multiple domains of psychopathology. Computerized adaptive tests (CATs) can reduce administration time without compromising data quality. We examined feasibility and validity of an adaptive psychopathology measure, GOASSESS, in a clinical community-based sample (N = 315; ages 18-35) comprising three groups: healthy controls, psychosis, mood/anxiety disorders. Assessment duration was compared between the Full and CAT GOASSESS. External validity was tested by comparing how the CAT and Full versions related to demographic variables, study group, and socioeconomic status. The relationships between scale scores and criteria were statistically compared within a mixed-model framework to account for dependency between relationships. Convergent validity was assessed by comparing scores of the CAT and the Full GOASSESS using Pearson correlations. The CAT GOASSESS reduced interview duration by more than 90 % across study groups and preserved relationships to external criteria and demographic variables as the Full GOASSESS. All CAT GOASSESS scales could replace those of the Full instrument. Overall, the CAT GOASSESS showed acceptable psychometric properties and demonstrated feasibility by markedly reducing assessment time compared to the Full GOASSESS. The adaptive version could be used in large-scale studies or clinical settings for intake screening.
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Affiliation(s)
- Eirini Zoupou
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Lifespan Brain Institute (LiBI), Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
| | - Tyler M Moore
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Lifespan Brain Institute (LiBI), Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
| | - Kelly P Kennedy
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Lifespan Brain Institute (LiBI), Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
| | - Monica E Calkins
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Lifespan Brain Institute (LiBI), Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
| | - Alesandra Gorgone
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Lifespan Brain Institute (LiBI), Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
| | - Akira Di Sandro
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Sage Rush
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Lifespan Brain Institute (LiBI), Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
| | - Katherine C Lopez
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Kosha Ruparel
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Lifespan Brain Institute (LiBI), Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
| | - Tarlan Daryoush
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Lifespan Brain Institute (LiBI), Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
| | - Paul Okoyeh
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Andrew Savino
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Scott Troyan
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Daniel H Wolf
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Lifespan Brain Institute (LiBI), Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
| | - J Cobb Scott
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; VISN 4 Mental Illness Research, Education, and Clinical Center at the Philadelphia VA Medical Center, PA, USA
| | - Raquel E Gur
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Lifespan Brain Institute (LiBI), Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
| | - Ruben C Gur
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Lifespan Brain Institute (LiBI), Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA.
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Yusufov M, Adeyemi O, Flannery M, Bouillon-Minois JB, Van Allen K, Cuthel AM, Goldfeld KS, Ouchi K, Grudzen CR. Psychometric Properties of the Functional Assessment of Cancer Therapy-General for Evaluating Quality of Life in Patients With Life-Limiting Illness in the Emergency Department. J Palliat Med 2024; 27:63-74. [PMID: 37672598 PMCID: PMC11074445 DOI: 10.1089/jpm.2022.0270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/20/2023] [Indexed: 09/08/2023] Open
Abstract
Background: The Functional Assessment of Cancer Therapy-General (FACT-G) is a widely used quality-of-life measure. However, no studies have examined the FACT-G among patients with life-limiting illnesses who present to emergency departments (EDs). Objective: The goal of this study was to examine the psychometric properties of the FACT-G among patients with life-limiting illnesses who present to EDs in the United States. Methods: This cross-sectional study pooled data from 12 EDs between April 2018 and January 2020 (n = 453). Patients enrolled in the study were adults with one or more of the four life-limiting illnesses: advanced cancer, Congestive Heart Failure, Chronic Obstructive Pulmonary Disease, or End-Stage Renal Disease. We conducted item, exploratory, and confirmatory analyses (exploratory factor analysis [EFA] and confirmatory factor analysis [CFA]) to determine the psychometric properties of the FACT-G. Results: The FACT-G had good internal consistency (Cronbach's alpha α = 0.88). The simplest EFA model was a six-factor structure. The CFA supported the six-factor structure, evidenced by the adequate fit indices (comparative fit index = 0.93, Tucker-Lewis index = 0.92, root-mean-square error of approximation = 0.05; 90% confidence interval: 0.04 - 0.06). The six-factor structure comprised the physical, emotional, work and daily activities-related functional well-being, and the family and friends-related social well-being domains. Conclusions: The FACT-G is a reliable measure of health-related quality of life among patients with life-limiting illnesses who present to the ED. Clinical Trial Registration: NCT03325985.
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Affiliation(s)
- Miryam Yusufov
- Department of Psychosocial Oncology and Palliative Care, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
| | - Oluwaseun Adeyemi
- Ronald O. Perelman Department of Emergency Medicine, Division of Supportive and Acute Care Services, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Mara Flannery
- Ronald O. Perelman Department of Emergency Medicine, Division of Supportive and Acute Care Services, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | | | - Kaitlyn Van Allen
- Ronald O. Perelman Department of Emergency Medicine, Division of Supportive and Acute Care Services, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Allison M. Cuthel
- Ronald O. Perelman Department of Emergency Medicine, Division of Supportive and Acute Care Services, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Keith S. Goldfeld
- Department of Population Health, Division of Supportive and Acute Care Services, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Kei Ouchi
- Department of Emergency Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Department of Emergency Medicine, Harvard Medical School, Boston, Massachusetts, USA
- Serious Illness Care Program, Ariadne Labs, Boston, Massachusetts, USA
| | - Corita R. Grudzen
- Ronald O. Perelman Department of Emergency Medicine, Division of Supportive and Acute Care Services, Memorial Sloan Kettering Cancer Center, New York, New York, USA
- Department of Population Health, Division of Supportive and Acute Care Services, Memorial Sloan Kettering Cancer Center, New York, New York, USA
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Vinson AJ, Cardinal H, Parsons C, Tennankore KK, Mainra R, Maru K, Treleaven D, Gill J. Disparities in Deceased Donor Kidney Offer Acceptance: A Survey of Canadian Transplant Nephrologists, General Surgeons and Urologists. Can J Kidney Health Dis 2023; 10:20543581231156855. [PMID: 36861114 PMCID: PMC9969426 DOI: 10.1177/20543581231156855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Accepted: 12/19/2022] [Indexed: 02/26/2023] Open
Abstract
Background Significant variability in organ acceptance thresholds have been demonstrated across the United States, but data regarding the rate and rationale for kidney donor organ decline in Canada are lacking. Objective To examine decision making regarding deceased kidney donor acceptance and non-acceptance in a population of Canadian transplant professionals. Design A survey study of theoretical deceased donor kidney cases of increasing complexity. Setting Canadian transplant nephrologists, urologists, and surgeons making donor call decisions responding to an electronic survey between July 22 and October 4, 2022. Participants Invitations to participate were distributed to 179 Canadian transplant nephrologists, surgeons, and urologists through e-mail. Participants were identified by contacting each transplant program and requesting a list of physicians who take donor call. Measurements Survey respondents were asked whether they would accept or decline a given donor, assuming there was a suitable recipient. They were also asked to cite reasons for donor non-acceptance. Methods Donor scenario-specific acceptance rates (total acceptance divided by total number of respondents for a given scenario and overall) and reasons for decline were determined and presented as a percentage of the total cases declined. Results In all, 72 respondents from 7 provinces completed at least one question of the survey, with considerable variability between acceptance rates for centers; the most conservative center declined 60.9% of donor cases, whereas the most aggressive center declined only 28.1%, P-value < .001. There was an increased risk of non-acceptance with advancing age, donation after cardiac death, acute kidney injury, chronic kidney disease, and comorbidities. Limitations As with any survey, there is the potential for participation bias. In addition, this study examines donor characteristics in isolation, however, asks respondent to assume there is a suitable candidate available. In reality, whenever donor quality is considered, it should be considered in the context of the intended recipient. Conclusion In a survey of increasingly medically complex deceased kidney donor cases, there was significant variability in donor decline among Canadian transplant specialists. Given relatively high rates of donor decline and apparent heterogeneity in acceptance decisions, Canadian transplant specialists may benefit from additional education regarding the benefits achieved from even medically complex kidney donors for appropriate candidates relative to remaining on dialysis on the transplant waitlist.
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Affiliation(s)
- A. J. Vinson
- Nova Scotia Health Authority, Halifax,
Canada,Division of Nephrology, Department of
Medicine, Dalhousie University, Halifax, NS, Canada,A. J. Vinson, Division of Nephrology,
Department of Medicine, Dalhousie University, Room 5081, 5th Floor Dickson
Building, Victoria General Hospital, 5820 University Ave, Halifax, NS B3H 1V8,
Canada.
| | - H. Cardinal
- Centre de recherche du Centre
hospitalier de l’Université de Montréal, QC, Canada
| | - C. Parsons
- Organ and Tissue Donation and
Transplantation, Canadian Blood Services, Ottawa, ON, Canada
| | - K. K. Tennankore
- Nova Scotia Health Authority, Halifax,
Canada,Division of Nephrology, Department of
Medicine, Dalhousie University, Halifax, NS, Canada
| | - R. Mainra
- Division of Nephrology, Department of
Medicine, University of Saskatchewan, Regina, Canada
| | - K. Maru
- Canadian Blood Services, Ottawa, ON,
Canada
| | - D. Treleaven
- Division of Nephrology, Department of
Medicine, McMaster University, Hamilton, ON, Canada
| | - J. Gill
- Division of Nephrology, Department of
Medicine, The University of British Columbia, Vancouver, Canada
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Xavier RM, Calkins ME, Bassett DS, Moore TM, George WT, Taylor JH, Gur RE. Characterizing Youth-Caregiver Concordance and Discrepancies in Psychopathology Symptoms in a US Community Sample. Issues Ment Health Nurs 2022; 43:1004-1013. [PMID: 35839118 PMCID: PMC9709771 DOI: 10.1080/01612840.2022.2099494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
Evidence shows that reports of psychopathology symptoms by youth and their caregiver informants differ. To quantify youth-caregiver discrepancies in psychopathology symptoms and factors associated with such discrepancies, we investigated differences in how youth and their caregivers rated psychopathology symptoms. The sample (N = 5094) was extracted from the Philadelphia Neurodevelopmental Cohort, a community-based sample of youth and included participants ages 11-17 years old with both youth and caregiver reported symptom scores. Across psychopathology symptoms, youth-caregiver concordance was poor to fair (Cohens kappa for symptom items ranged between 0.03-0.41). Psychosis symptoms had the lowest concordance-Cohen's kappa ranged from 0.03 to 0.17 across psychosis symptoms. Discrepancies between youth and caregiver symptom reports were greater than average for Black youth and for youth of low socioeconomic status; discrepancies were also higher than average in youth with any psychiatric disorder when compared to typically developing youth. Network analysis of difference scores obtained by subtracting youth symptom scores from caregiver reported symptom scores showed that network connectivity (i.e., correlated difference scores) was sparsest for psychosis spectrum compared to other psychiatric disorders. Using a large sample, we show that youth and their caregiver informants tend to report psychopathology symptoms differently. Youth-caregiver discrepancies were the most pronounced for Black youth and youth of low socio-economic status. Race and socioeconomic status contribute to significant differences in how youth and their caregivers report such symptoms and are important factors that should be accounted for to facilitate accurate mental health symptom assessment and evaluation.
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Affiliation(s)
- Rose Mary Xavier
- School of Nursing, University of North Carolina at Chapel Hill, NC, USA
| | - Monica E. Calkins
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Dani S. Bassett
- Departments of Bioengineering, Psychiatry, Neurology, Physics & Astronomy, Electrical & Systems Engineering, University of Pennsylvania, Philadelphia, PA, USA
| | - Tyler M. Moore
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Jerome H. Taylor
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Raquel E. Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
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