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Objectives: The Gambling Disorder Identification Test (GDIT) is a recently developed self-report measure. The GDIT includes items with multiple response options that are either based on frequency or time, and item response theory evaluations of these could yield vital knowledge on its measurement performance., Methods: The GDIT was evaluated using Rasch analysis in a study involving 597 Swedish gamblers., Results: In a three-dimensional Rasch model, the item response difficulty range extended from -1.88 to 4.06 and increased with higher time- and frequency-based responses. Differential item functioning showed that some GDIT items displayed age and gender-related differences. Additionally, person-separation reliability indicated the GDIT could reliably be divided into three to four diagnostic levels., Conclusions: The frequency- and time-based item response options of the GDIT offer excellent measurement, allowing for elaborate assessment across both lower and higher gambling severity. The GDIT can be used to detect DSM-5 Gambling Disorder, thereby holding significance from both epidemiological and clinical standpoints. Notably, the 3-item GDIT Gambling Behavior subscale also shows potential as a brief screening tool for identifying at-risk gambling behavior., (© 2024 The Authors. International Journal of Methods in Psychiatric Research published by John Wiley & Sons Ltd.)

Supervision seems to be an essential part of therapist training and thus also of implementing evidence-based practices. However, there is a shortage of valid and reliable instruments for objective assessment of supervision competence that include both global measures and frequency counts of behaviour-two essential aspects of supervisory competence. This study tests the internal consistency and inter-rater reliability of an assessment tool that includes both these measures. Additionally, strategies and techniques used by 10 supervisors in 35 Motivational interviewing supervision sessions are described. Codings were conducted after two separate coding training sessions. The internal consistency across the global measures was acceptable (α = 0.70; 0.71). After the second training, the inter-rater reliabilities for all frequency counts were in the moderate to good range, except for two that were in the poor range; inter-rater reliability for one of the four global measures was in the moderate range, and three were in the poor range. A prerequisite for identifying specific supervisor skills central to the development of therapist skills, teaching these skills to supervisors and performing quality assurance of supervision, is to create instruments that can measure these behaviours. This study is a step in that direction., (© 2022 The Authors. Clinical Psychology & Psychotherapy published by John Wiley & Sons Ltd.)

Objectives: This study evaluates whether initiation rates, completion rates, response patterns and prevalence of psychiatric conditions differ by level of personal integrity information given to prospective participants in an online mental health self-report survey., Methods: A three-arm, parallel-group, single-blind experiment was conducted among students from two Swedish universities. Consenting participants following e-mail invitation answered the World Health Organization (WHO) World Mental Health-International College Student (WMH-ICS) mental health self-report survey, screening for eight psychiatric conditions. Random allocation meant consenting to respond (1) anonymously; (2) confidentially, or (3) confidentially, where the respondent also gave consent for collection of register data., Results: No evidence was found for overall between-group differences with respect to (1) pressing a hyperlink to the survey in the invitation email; and (2) abandoning the questionnaire before completion. However, participation consent and self-reported depression were in the direction of higher levels for the anonymous group compared to the two confidential groups., Conclusions: Consent to participate is marginally affected by different levels of personal integrity information. Current standard participant information procedures may not engage participants to read the information thoroughly, and online self-report mental health surveys may reduce stigma and thus be less subject to social desirability bias., (© 2021 The Authors. International Journal of Methods in Psychiatric Research published by John Wiley & Sons Ltd.)

Objectives: Diverse instruments are used to measure problem gambling and Gambling Disorder intervention outcomes. The 2004 Banff consensus agreement proposed necessary features for reporting gambling treatment efficacy. To address the challenge of including these features in a single instrument, a process was initiated to develop the Gambling Disorder Identification Test (GDIT), as an instrument analogous to the Alcohol Use Disorders Identification Test and the Drug Use Disorders Identification Test., Methods: Gambling experts from 10 countries participated in an international two-round Delphi (n = 61; n = 30), rating 30 items proposed for inclusion in the GDIT. Gambling researchers and clinicians from several countries participated in three consensus meetings (n = 10; n = 4; n = 3). User feedback was obtained from individuals with experience of problem gambling (n = 12) and from treatment-seekers with Gambling Disorder (n = 8)., Results: Ten items fulfilled Delphi consensus criteria for inclusion in the GDIT (M ≥ 7 on a scale of 1-9 in the second round). Item-related issues were addressed, and four more items were added to conform to the Banff agreement recommendations, yielding a final draft version of the GDIT with 14 items in three domains: gambling behavior, gambling symptoms and negative consequences., Conclusions: This study established preliminary construct and face validity for the GDIT., (© 2020 The Authors. International Journal of Methods in Psychiatric Research published by John Wiley & Sons Ltd.)