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dc.contributor.authorCandilis, Philip J.
dc.contributor.authorFletcher, Kenneth E.
dc.contributor.authorGeppert, Cynthia M. A.
dc.contributor.authorLidz, Charles W.
dc.contributor.authorAppelbaum, Paul S.
dc.date2022-08-11T08:09:37.000
dc.date.accessioned2022-08-23T16:37:45Z
dc.date.available2022-08-23T16:37:45Z
dc.date.issued2008-01-01
dc.date.submitted2009-10-15
dc.identifier.citation<p>Schizophr Res. 2008 Feb;99(1-3):350-8. <a href="http://dx.doi.org/10.1016/j.schres.2007.11.022">Link to article on publisher's site</a></p>
dc.identifier.issn0920-9964 (Print)
dc.identifier.doi10.1016/j.schres.2007.11.022
dc.identifier.pmid18164593
dc.identifier.urihttp://hdl.handle.net/20.500.14038/39096
dc.description.abstractTo characterize predictors of impairment in research decision-making capacity, we undertook a direct comparison of schizophrenia/schizoaffective (n=52), medically ill (diabetic; n=51), and non-ill (n=57) subjects. Scores on the MacArthur Competence Assessment Tool for Clinical Research (MacCAT-CR) were correlated with demographic variables and scores on the Positive and Negative Syndrome Scale (PANSS), Mini-Mental State Examination (MMSE), and Short-Form-36 (SF-36). Across diagnoses, cognitive capacity, physical functioning, and a diagnosis of mental illness had the greatest impact on decision-making capacity, with level of education also having an impact. 69-89% of schizophrenia/schizoaffective subjects attained MacCAT-CR subscale scores achieved by almost all comparison (98-100%) and medically ill (94-100%) subjects. Positive, negative, and general psychotic symptoms correlated with poorer scores. Prior research experience, number of queries used during interview, and emotional functioning also predicted MacCAT-CR scores. These data suggest that investigators and IRBs should consider a number of variables, many of which reach across diagnoses, as they decide which populations and individual subjects may require more intensive screening for decisional impairment or educational interventions to improve their abilities to make capable decisions about research participation.
dc.language.isoen_US
dc.relation<p><a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=18164593&dopt=Abstract">Link to Article in PubMed</a></p>
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC2486336/
dc.subjectAdult
dc.subjectCognition Disorders
dc.subjectComprehension
dc.subjectDiabetes Mellitus, Type 1
dc.subjectDiabetes Mellitus, Type 2
dc.subjectFemale
dc.subjectHumans
dc.subjectInformed Consent
dc.subjectMale
dc.subject*Mental Competency
dc.subjectMental Recall
dc.subjectMental Status Schedule
dc.subjectMiddle Aged
dc.subjectNeuropsychological Tests
dc.subject*Patient Selection
dc.subjectPsychiatric Status Rating Scales
dc.subjectPsychometrics
dc.subjectPsychotic Disorders
dc.subjectSchizophrenia
dc.subject*Schizophrenic Psychology
dc.subjectLife Sciences
dc.subjectMedicine and Health Sciences
dc.titleA direct comparison of research decision-making capacity: schizophrenia/schizoaffective, medically ill, and non-ill subjects
dc.typeJournal Article
dc.source.journaltitleSchizophrenia research
dc.source.volume99
dc.source.issue1-3
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/oapubs/1913
dc.identifier.contextkey1036656
html.description.abstract<p>To characterize predictors of impairment in research decision-making capacity, we undertook a direct comparison of schizophrenia/schizoaffective (n=52), medically ill (diabetic; n=51), and non-ill (n=57) subjects. Scores on the MacArthur Competence Assessment Tool for Clinical Research (MacCAT-CR) were correlated with demographic variables and scores on the Positive and Negative Syndrome Scale (PANSS), Mini-Mental State Examination (MMSE), and Short-Form-36 (SF-36). Across diagnoses, cognitive capacity, physical functioning, and a diagnosis of mental illness had the greatest impact on decision-making capacity, with level of education also having an impact. 69-89% of schizophrenia/schizoaffective subjects attained MacCAT-CR subscale scores achieved by almost all comparison (98-100%) and medically ill (94-100%) subjects. Positive, negative, and general psychotic symptoms correlated with poorer scores. Prior research experience, number of queries used during interview, and emotional functioning also predicted MacCAT-CR scores. These data suggest that investigators and IRBs should consider a number of variables, many of which reach across diagnoses, as they decide which populations and individual subjects may require more intensive screening for decisional impairment or educational interventions to improve their abilities to make capable decisions about research participation.</p>
dc.identifier.submissionpathoapubs/1913
dc.contributor.departmentDepartment of Psychiatry
dc.source.pages350-8


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