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1.
J Appl Res Intellect Disabil ; 36(1): 58-67, 2023 Jan.
Article in English | MEDLINE | ID: mdl-36173126

ABSTRACT

BACKGROUND: Elucidating the influence of mild intellectual disability (MID; IQ 50-70)/borderline intellectual functioning (BIF; IQ 70-85) and (comorbid) post-traumatic stress disorder (PTSD) on the quality of life of patients with serious mental illness (SMI) could improve their mental health care. METHOD: This study comprises a prospective longitudinal cohort study using routine outcome monitoring data. The cohort comprised 601 patients who had undertaken at least one Manchester Short Assessment of Quality of Life (MANSA). The scores for screeners to detect MID/BIF and PTSD were analysed, and a repeated measures analysis of variance and a multi-level linear regression was performed on the MANSA scores. RESULTS: The average quality of life for all patient groups increased significantly over time. A between-subject effect on quality of life was observed for PTSD, but not MID/BIF. CONCLUSIONS: PTSD but not MID/BIF is associated with a lesser quality of life over time.


Subject(s)
Intellectual Disability , Stress Disorders, Post-Traumatic , Humans , Stress Disorders, Post-Traumatic/epidemiology , Intellectual Disability/diagnosis , Outpatients , Quality of Life , Longitudinal Studies , Prospective Studies , Severity of Illness Index
2.
J Appl Res Intellect Disabil ; 32(5): 1096-1102, 2019 Sep.
Article in English | MEDLINE | ID: mdl-31033102

ABSTRACT

BACKGROUND: The reliability and validity of the Screener for Intelligence and Learning Disabilities (SCIL) are unknown in a population of outpatients with severe mental illness. The prevalence of mild or borderline intellectual disabilities (MBID); an umbrella term for people with borderline intellectual functioning (BIF) and mild intellectual disability (MID) in this population is also unknown. METHODS: A total of 625 patients were screened with the SCIL, 201 of which also had IQ test results. RESULTS: Cronbach's alpha of the SCIL was 0.73. The AUC value for detecting MBID was 0.81, and also 0.81 for detecting MID, with percentages of correctly classified subjects (when using the advised cut-off scores) being 73% and 79%, respectively. The SCIL results suggested that 40% of the patients were suspected of MBID and 20% of MID. CONCLUSION: The SCIL seems to be an appropriate screening tool for MBID. It is important to screen for MBID because a substantial proportion of outpatients with severe mental illness appear to be functioning at this level. It is necessary to adapt treatment for these patients.


Subject(s)
Intellectual Disability/diagnosis , Learning Disabilities/diagnosis , Mental Disorders , Neuropsychological Tests/standards , Outpatients/statistics & numerical data , Adult , Aged , Comorbidity , Female , Humans , Intellectual Disability/epidemiology , Learning Disabilities/epidemiology , Male , Mental Disorders/epidemiology , Middle Aged , Netherlands/epidemiology , Reproducibility of Results , Severity of Illness Index , Wechsler Scales , Young Adult
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