Development of a computerized adaptive substance use disorder scale for screening, measurement and diagnosis – The CAT-SUD-E

Hulvershorn, Leslie A.; Adams, Zachary W.; Smoker, Michael P.; Aalsma, Matthew C.; Gibbons, Robert D.

doi:10.1016/j.dadr.2022.100047

Cited by 4 publications

(6 citation statements)

References 24 publications

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“…The simulation study included only a small number of items, and the results were only marginally different from the results of the full scale. Therefore, as in most other studies on CAT (e.g., Gibbons et al, 2020; Hulvershorn et al, 2022; Liu et al, 2020; Yudien et al, 2019), we concluded that CAT is a beneficial method of enhancing the effectiveness of a testing procedure. We hope that these findings will convince both substance use disorder researchers and practitioners to apply CAT procedures more often to their instruments.…”

Section: Discussionsupporting

confidence: 82%

“…Previous research has shown that CAT can effectively reduce the length of administration for clinical scales used to diagnose drug use disorder (Butler et al, 2017; Gibbons et al, 2020; Hulvershorn et al, 2022; Liu et al, 2020). However, few studies have applied CAT to the DSQ for amphetamine craving to develop the more concise and efficient assessment tools.…”

Section: Discussionmentioning

confidence: 99%

“…Furthermore, the criterion-related validity and predictive validity will be discussed in this section. The CAT algorithms were set to stop when meeting the predefined stopping rule (e.g., Flens et al, 2016; Hulvershorn et al, 2022; Yudien et al, 2019).…”

Section: Methodsmentioning

confidence: 99%

“…Recently, Liu et al (2020) established an item bank for the measurement of drug dependence through CAT, whereas Gibbons et al (2020) improved substance use disorder (SUD) screening and measurement with the application of CAT. Furthermore, Hulvershorn et al (2022) developed a screening, measurement, and diagnostic tool (CAT-SUD-E) for SUD assessment through CAT. However, it is important to note that IRT techniques have not yet been utilized to analyze amphetamine abuse through the DSQ, and there is currently no valid adaptive version designed specifically to measure amphetamine cravings, revealing significant research gaps in the current literature.…”

mentioning

confidence: 99%

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Applying computerized adaptive testing to the Desires for Speed Questionnaire in the Chinese population: A simulation study.

Liu

Guo

et al. 2023

Psychological Assessment

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The current methods for measuring patient-reported outcomes for amphetamine (speed) craving have limitation ability to adapt to the needs of individual patients while maintaining consistency in their scores. This study aimed to investigate whether the 40-item Desires for Speed Questionnaire (DSQ) could be improved for assessing clinical subjects using computerized adaptive testing (CAT). A sample of 677 participants from four drug addiction treatment centers in China was utilized in the study. Two types of analysis were conducted using the response data. First, the psychometric properties of all items were evaluated to meet the requirements of CAT. Second, multiple CAT simulations were carried out using real response data. The results indicated that the CAT method, which only required a small number of items (50%-75%), produced results that were only slightly different from the full DSQ assessment in terms of measuring amphetamine craving and criterion validity. In conclusion, this study suggests that developing a DSQ CAT for clinical subjects is useful as it leads to more efficient measurement without compromising the reliability of the test outcomes. Public Significance StatementThis study highlights the potential benefits of using computerized adaptive testing (CAT) to improve the efficiency and effectiveness of measuring amphetamine craving in clinical subjects. By reducing the number of items needed while maintaining reliability, this approach could ultimately lead to more personalized and targeted treatments for individuals with drug addiction.

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Section: Discussionsupporting

confidence: 82%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

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Applying computerized adaptive testing to the Desires for Speed Questionnaire in the Chinese population: A simulation study.

Liu

Guo

et al. 2023

Psychological Assessment

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“…The CAT-MH has been utilized in outpatient community programs [57], inpatient hospital settings (i.e., emergency rooms) [58], family physician centres that offer mental health services, correctional centres [59], and most notably in primary care settings [60]. The CAT-MH demonstrates high reliability, with test-retest reliability averaging .92 [55,56,61] and high specificity in assessing for potential diagnoses, with Areas Under the Curve (AUC) ranging from .76 for substance use [62] to .94 for depression and PTSD [63]. Measures of specificity for the CAT-MH are similar to other 'gold standard' measures of mental health symptomatology (e.g., Beck Depression Inventory; [55]).…”

Section: Methodsmentioning

confidence: 99%

Walk-in mental health: Bridging barriers in a pandemic

Wellspring,

Ganesh,

Kreklewetz

2024

PLoS ONE

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‘Single Session Therapy’ (SST) is a service delivery model that seeks to provide an evidence-based, solution-focused, brief intervention within a single therapy session. The stand-alone session affords the opportunity to provide brief psychological interventions while clients await access to longer-term services. The COVID-19 pandemic has adversely impacted individuals’ mental health. However, the majority of research has investigated patient mental health within hospital settings and community organizations that offer long-term services, whereas minimal research has focused on mental health concerns during COVID-19 within an SST model. The primary aim of the study was to measure client experiences of a brief mental health service. The nature of client mental health concerns who access such services at various points during a pandemic was also investigated. The current study utilized client feedback forms and the Computerized Adaptive Testing—Mental Health (CAT-MH) to measure client experiences and mental health concerns. Qualitative analysis of client feedback forms revealed themes of emotional (e.g., safe space) and informational support (e.g., referrals). Clients also reported reduced barriers to accessing services (e.g., no appointment necessary, no cost), as well as limitations (e.g., not enough sessions) of the Walk-in clinic. Profile analysis of the CAT-MH data indicated that clients had higher rates of depression before COVID-19 (M = 64.2, SD = 13.07) as compared to during the pandemic (M = 59.78, SD = 16.87). In contrast, higher rates of positive suicidality flags were reported during the pandemic (n = 54) as compared to before (n = 29). The lower reported rates of depression but higher rate of suicidality during the pandemic was an unanticipated finding that contradicted prior research, to which possible explanations are explored. Taken together, the results demonstrate the positive experiences of clients who access a single session therapy.

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Developing an accurate and efficient tool for the internalizing spectrum: A simulation study of the adaptive algorithm to the Inventory of Depression and Anxiety Symptoms II (IDAS‐II)

Sanchez‐Garcia,

De la Rosa‐Cáceres,

Rossi

et al. 2024

Int J Methods Psych Res

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ObjectivesThis research simulates an adaptive version of the IDAS‐II (IDAS‐CAT).Methods2021 participants from both community (n = 1692) and patients (n = 329) samples completed the IDAS‐II. Item response theory metric properties of the IDAS‐II full test and the 20‐items of the general depression (GD) scale were obtained. The efficiency and accuracy of different computerized adaptive algorithms were simulated. Different subsamples completed additional external measures in order to gather evidence of validity of the scores estimated with the simulated adaptive algorithms selected.ResultsBoth unidimensional computerized adaptive testing algorithm selected for the GD scale and the bifactor model chosen for the full test, allow 70% reduction in the length of administration, maintaining a measurement error below 0.30 on the general and 0.50 on the specific factors. Results show high correlations of the scores estimated with the adaptive algorithms and the estimates based on the full test, as well as correlations with external criteria almost equal to those generated with the full test.ConclusionsIDAS‐CAT could be a reliable and fast tool for measuring internalizing spectrum.

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Development of a computerized adaptive substance use disorder scale for screening, measurement and diagnosis – The CAT-SUD-E

Cited by 4 publications

References 24 publications

Applying computerized adaptive testing to the Desires for Speed Questionnaire in the Chinese population: A simulation study.

Applying computerized adaptive testing to the Desires for Speed Questionnaire in the Chinese population: A simulation study.

Walk-in mental health: Bridging barriers in a pandemic

Developing an accurate and efficient tool for the internalizing spectrum: A simulation study of the adaptive algorithm to the Inventory of Depression and Anxiety Symptoms II (IDAS‐II)

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