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1.
JAMA Netw Open ; 7(6): e2417282, 2024 Jun 03.
Article in English | MEDLINE | ID: mdl-38904962

ABSTRACT

Importance: Most individuals with problem gambling or gambling disorder remain untreated due to barriers to treatment. Limited research exists on alternative treatments. Objective: To investigate the efficacy of a self-guided internet-based intervention for individuals with gambling problems and to identify potential outcome moderators. Design, Setting, and Participants: This single-center randomized clinical trial was conducted from July 13, 2021, to December 31, 2022, at the University Medical Center Hamburg-Eppendorf. Participants were recruited across Germany for 2 assessments (before intervention [t0] and 6 weeks after intervention [t1]). Eligible participants were individuals aged 18 to 75 years with gambling problems, internet access, German proficiency, and willingness to participate in 2 online assessments. Intervention: The self-guided internet-based intervention was based on cognitive behavioral therapy, metacognitive training, acceptance and commitment therapy, and motivational interviewing. Main Outcome and Measures: The primary outcome was change in gambling-related thoughts and behavior as measured with the pathological gambling adaption of the Yale-Brown Obsessive-Compulsive Scale. Secondary outcomes were change in depressive symptoms, gambling severity, gambling-specific dysfunctional thoughts, attitudes toward online interventions, treatment expectations, and patient satisfaction. Results: A total of 243 participants (154 [63.4%] male; mean [SD] age, 34.73 [10.33] years) were randomized to an intervention group (n = 119) that gained access to a self-guided internet-based intervention during 6 weeks or a wait-listed control group (n = 124). Completion at t1 was high (191 [78.6%]). Results showed a significantly greater reduction in gambling-related thoughts and behavior (mean difference, -3.35; 95% CI, -4.79 to -1.91; P < .001; Cohen d = 0.59), depressive symptoms (mean difference, -1.05; 95% CI, -1.87 to -0.22; P = .01; Cohen d = 0.33), and gambling severity (mean difference, -1.46; 95% CI, -2.37 to -0.54; P = .002; Cohen d = 0.40) but not in gambling-specific dysfunctional thoughts (mean difference, -1.62; 95% CI, -3.40 to 0.15; P = .07; Cohen d = 0.23) favoring the intervention group. Individuals in the intervention group who had a positive treatment expectation and more severe gambling-specific dysfunctional thoughts and gambling symptoms benefited more on the primary outcome relative to the control group. Conclusions and Relevance: In this randomized clinical trial, the effectiveness of a self-guided internet-based intervention for individuals with self-reported problematic gambling behavior was demonstrated when measured 6 weeks after start of the intervention. The study's findings are particularly relevant given the increasing need for accessible and scalable solutions to address problematic gambling. Trial Registration: bfarm.de Identifier: DRKS00024840.


Subject(s)
Cognitive Behavioral Therapy , Gambling , Internet-Based Intervention , Humans , Male , Gambling/therapy , Gambling/psychology , Female , Middle Aged , Adult , Cognitive Behavioral Therapy/methods , Treatment Outcome , Germany , Motivational Interviewing/methods , Aged , Young Adult , Internet
2.
J Psychiatr Res ; 174: 254-257, 2024 Jun.
Article in English | MEDLINE | ID: mdl-38670060

ABSTRACT

BACKGROUND: Smartphone apps may help to prevent the transition from minor to severe mental health problems. We compared a free self-help smartphone app (COGITO; www.uke.de/cogito_app) against a wait-list condition for the improvement of self-esteem and depression. METHODS: The Rosenberg Self-Esteem Scale represented the primary outcome in this controlled trial. The final sample (n = 213) was randomly assigned to either the app or to the control condition. RESULTS: The app condition significantly improved the primary outcome relative to controls for all analyses. Satisfaction of completers was high. The present results warrant independent replication; the retention rate needs to be increased to allow solid inferences about acceptance. CONCLUSIONS: The present study demonstrates that the COGITO app may represent an effective self-help tool for psychological problems.


Subject(s)
Mobile Applications , Self Concept , Smartphone , Humans , Male , Female , Adult , Young Adult , Middle Aged , Depression/therapy , Self Care , Psychiatric Status Rating Scales , Adolescent
3.
Trials ; 24(1): 453, 2023 Jul 11.
Article in English | MEDLINE | ID: mdl-37434163

ABSTRACT

BACKGROUND: Despite the existence of evidence-based therapy options for the treatment of chronic pain and comorbid depressive symptoms (e.g., CBT), many individuals remain untreated. Treatment gaps result from a lack of specialists, patient fear of stigmatization, or patient immobility. Internet-based self-help interventions could serve as an anonymous and flexible alternative treatment option. In a pilot study, chronic pain patients with comorbid depressive symptoms who used a generic Internet-based depression program showed a significant reduction in depressive symptoms (but not pain symptoms) compared to a waitlist control group. Based on these findings, we developed the low-threshold, anonymous, and cost-free Internet-based self-help intervention Lenio that is tailored to the specific needs of chronic pain patients with comorbid depressive symptoms. Lenio is accompanied by the smartphone application (app) COGITO designed to increase therapeutic success. With Lenio and COGITO addressing both chronic pain and depressive symptoms, the trial aims to increase treatment effects of online interventions for chronic pain patients by reducing both depressive symptoms and pain. METHODS: The effectiveness of the Internet-based self-help intervention and accompanying smartphone app will be evaluated in a randomized controlled trial (RCT). A total of 300 participants will be randomized into an intervention group (Lenio/COGITO), an active control group (depression-focused smartphone app), or a waitlist control group. Assessments will be done at baseline, after an 8-week intervention period (post), and after 16 weeks (follow-up). The primary outcome is the post-assessment reduction in "pain impairment" (mean value of impairment in daily life, free time, and work) as assessed by the DSF (German pain questionnaire). Secondary outcomes will include the reduction in depressive symptoms as well as in the severity of pain. DISCUSSION: Lenio is one of the first Internet-based interventions to reduce chronic pain and depression that will be empirically evaluated. Internet-based interventions could offer a promising alternative to conventional face-to-face psychotherapy in the treatment of chronic pain patients. The primary objective of the current study is to add essential insight into the feasibility, effectiveness, and acceptance of Internet-based interventions for people with chronic pain and depressive symptoms. TRIAL REGISTRATION: DRKS-ID DRKS00026722, Registered on October 6th, 2021.


Subject(s)
Chronic Pain , Internet-Based Intervention , Humans , Chronic Pain/diagnosis , Chronic Pain/therapy , Depression/diagnosis , Depression/therapy , Internet , Psychotherapy , Randomized Controlled Trials as Topic
4.
Suicide Life Threat Behav ; 53(2): 303-311, 2023 04.
Article in English | MEDLINE | ID: mdl-36714989

ABSTRACT

BACKGROUND: In the European Union, over 2000 suicides on railway premises were reported in 2020. Identifying individuals' behavioral and location patterns just before they die or attempt to die by train suicide (ITS) is critical for effective prevention of suicides by train. We conducted a naturalistic study using a newly developed instrument for the assessment of fatalities in rail traffic that used information from on-site video cameras. METHODS: A total of 56 case files and surveillance recordings of ITS prior to their suicide or suicide attempt were compared to 46 surveillance recordings of matched regular train passengers (RTP) before they boarded their trains. Groups were compared on individuals' behavior as well as location and contextual parameters. RESULTS: ITS performed unusual movement patterns more frequently, carried luggage less often, stayed on the platform longer, and let more trains pass relative to RTP. CONCLUSIONS: If this study is replicated with a larger sample, artificial intelligence could be used to detect suspicious/unusual (movement) patterns in order to prevent train suicide. Social awareness campaigns that foster the identification of people in distress at train stations in combination with lower thresholds for the use of emergency devices on platforms may help to detect potential train suicides and reduce their incidence.


Subject(s)
Railroads , Suicide Prevention , Humans , Artificial Intelligence , Suicide, Attempted/prevention & control , Incidence
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