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Buck B, Tauscher JS, Whiting E, Wang W, Campbell AT, Ben-Zeev D. Identifying mechanisms of persecutory ideation maintenance with smartphone technology: Examining threat importance, certainty, rumination, and behavior change. Psychiatry Res 2024; 333:115751. [PMID: 38309010 PMCID: PMC10923100 DOI: 10.1016/j.psychres.2024.115751] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 01/19/2024] [Accepted: 01/21/2024] [Indexed: 02/05/2024]
Abstract
Previous cross-sectional and laboratory research has identified risk factors for persecutory ideation including rumination, negative affect, and safety-seeking behaviors. Questions remain about what in-the-moment factors link general negative affect to PI as well as which maintain PI over time. In the present study, N = 219 individuals completed momentary assessments of PI as well as four factors (attributing threats as certain and important, ruminating, and changing one's behavior in response) proposed to maintain PI over time. Linear mixed effects models were used to analyze multiple time-varying relationships, including these factors predicting negative affect and vice versa, as well as factors predicting maintenance of PI over time. Linear mixed effects models were used to analyze multiple time-varying relationships, examining each PI-related factor predicting negative affect, negative affect predicting each PI-related factor, as well as each factor predicting maintenance of PI over time. All four factors were associated with increases in subsequent day self-reported severity of PI, suggesting all four increased the likelihood of maintaining or worsening next-day PI. Results of this study confirm that the proposed factors are key in maintaining a cycle by which PI and negative affect are maintained over time. These factors may represent targets for momentary interventions.
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Affiliation(s)
- Benjamin Buck
- Behavioral Research in Technology and Engineering Center, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States.
| | - Justin S Tauscher
- Behavioral Research in Technology and Engineering Center, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States
| | - Erica Whiting
- Behavioral Research in Technology and Engineering Center, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States
| | - Weichen Wang
- Department of Computer Science, Dartmouth College, Hanover, NH, United States
| | - Andrew T Campbell
- Department of Computer Science, Dartmouth College, Hanover, NH, United States
| | - Dror Ben-Zeev
- Behavioral Research in Technology and Engineering Center, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States
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Williams LM, Carpenter WT, Carretta C, Papanastasiou E, Vaidyanathan U. Precision psychiatry and Research Domain Criteria: Implications for clinical trials and future practice. CNS Spectr 2024; 29:26-39. [PMID: 37675453 DOI: 10.1017/s1092852923002420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/08/2023]
Abstract
Psychiatric disorders are associated with significant social and economic burdens, many of which are related to issues with current diagnosis and treatments. The coronavirus (COVID-19) pandemic is estimated to have increased the prevalence and burden of major depressive and anxiety disorders, indicating an urgent need to strengthen mental health systems globally. To date, current approaches adopted in drug discovery and development for psychiatric disorders have been relatively unsuccessful. Precision psychiatry aims to tailor healthcare more closely to the needs of individual patients and, when informed by neuroscience, can offer the opportunity to improve the accuracy of disease classification, treatment decisions, and prevention efforts. In this review, we highlight the growing global interest in precision psychiatry and the potential for the National Institute of Health-devised Research Domain Criteria (RDoC) to facilitate the implementation of transdiagnostic and improved treatment approaches. The need for current psychiatric nosology to evolve with recent scientific advancements and increase awareness in emerging investigators/clinicians of the value of this approach is essential. Finally, we examine current challenges and future opportunities of adopting the RDoC-associated translational and transdiagnostic approaches in clinical studies, acknowledging that the strength of RDoC is that they form a dynamic framework of guiding principles that is intended to evolve continuously with scientific developments into the future. A collaborative approach that recruits expertise from multiple disciplines, while also considering the patient perspective, is needed to pave the way for precision psychiatry that can improve the prognosis and quality of life of psychiatric patients.
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Affiliation(s)
- Leanne M Williams
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
- Sierra-Pacific Mental Illness Research, Education, and Clinical Center (MIRECC), Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA
| | - William T Carpenter
- Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | | | - Evangelos Papanastasiou
- Boehringer Ingelheim Pharma GmbH & Co, Ingelheim am Rhein, Rhineland-Palatinate, Germany
- HMNC Holding GmbH, Wilhelm-Wagenfeld-Strasse 20, 80807Munich, Bavaria, Germany
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Silver JH, Lewton M, Lewis HW. Mediators of negative content and voice-related distress in a diverse sample of clinical and non-clinical voice-hearers. BRITISH JOURNAL OF CLINICAL PSYCHOLOGY 2023; 62:96-111. [PMID: 36205115 PMCID: PMC10092889 DOI: 10.1111/bjc.12396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 07/29/2022] [Accepted: 09/08/2022] [Indexed: 11/26/2022]
Abstract
OBJECTIVES Negative content in hearing voices (i.e., auditory verbal hallucinations) has been associated with adverse clinical outcomes including voice-related distress. Voice appraisals and responding mindfully to voices are theorized to reduce voice-related distress. This study aimed in examine mediators of the negative content voice-related distress relationship in clinical (those who recently received input from mental health services) and non-clinical voice-hearers. METHODS One hundred and twenty-one adults (71.9% female; 35.5% mixed or non-white ethnic background) who hear voices were recruited online and completed self-report measures of negative content of voices, voice-related distress, mindfulness of voices, interpretation of loss of control, thought suppression and intrusion. RESULTS Clinical voice-hearers had significantly higher levels of negative content, voice-related distress and interpretation of loss of control than non-clinical voice-hearers. A mindful approach to voices and interpretation of loss of control mediated the relationship between negative content and voice-related distress across the whole sample. Thought suppression and intrusion did not mediate the relationship. CONCLUSIONS The results support the use of mindfulness-based psychological intervention to reduce voice-related distress. Further development of valid and reliable measures specifically relating to constructs of voice content, voice-related distress and voice suppression will support further research in this area.
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Affiliation(s)
- Jessica Helen Silver
- Older Persons Mental Health Psychology ServiceCwm Taf Morgannwg University Health BoardPontypriddUK
| | - Marcus Lewton
- Child and Adolescent Mental Health ServiceCwm Taf Morgannwg University Health BoardPontypriddUK
| | - Heledd Wyn Lewis
- South Wales Doctoral Programme in Clinical PsychologyCardiff UniversityCardiffUK
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Buck B, Wingerson M, Tauscher JS, Enkema M, Wang W, Campbell AT, Ben-Zeev D. Using Smartphones to Identify Momentary Characteristics of Persecutory Ideation Associated With Functional Disability. SCHIZOPHRENIA BULLETIN OPEN 2023; 4:sgad021. [PMID: 37601285 PMCID: PMC10439515 DOI: 10.1093/schizbullopen/sgad021] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/22/2023]
Abstract
Objectives Though often a feature of schizophrenia-spectrum disorders, persecutory ideation (PI) is also common in other psychiatric disorders as well as among individuals who are otherwise healthy. Emerging technologies allow for a more thorough understanding of the momentary phenomenological characteristics that determine whether PI leads to significant distress and dysfunction. This study aims to identify the momentary phenomenological features of PI associated with distress, dysfunction, and need for clinical care. Methods A total of 231 individuals with at least moderate PI from 43 US states participated in a study involving 30 days of data collection using a smartphone data collection system combining ecological momentary assessment and passive sensors, wherein they reported on occurrence of PI as well as related appraisals, responses, and cooccurring states. Most (N = 120, 51.9%) participants reported never having received treatment for their PI, while 50 participants had received inpatient treatment (21.6%), and 60 (26.4%) had received outpatient care only. Results Individuals with greater functional disability did not differ in PI frequency but were more likely at the moment to describe threats as important to them, to ruminate about those threats, to experience distress related to them, and to change their behavior in response. Groups based on treatment-seeking patterns largely did not differ in baseline measures or momentary phenomenology of PI as assessed by self-report or passive sensors. Conclusions Smartphone data collection allows for granular assessment of PI-related phenomena. Functional disability is associated with differences in appraisals of and responses to PI at the moment.
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Affiliation(s)
- Benjamin Buck
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA
| | - Mary Wingerson
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA
| | - Justin S Tauscher
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA
| | - Matthew Enkema
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA
| | - Weichen Wang
- Department of Computer Science, Dartmouth College, Hanover, NH
| | | | - Dror Ben-Zeev
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA
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Buck B, Munson J, Chander A, Wang W, Brenner CJ, Campbell AT, Ben-Zeev D. The relationship between appraisals of auditory verbal hallucinations and real-time affect and social functioning. Schizophr Res 2022; 250:112-119. [PMID: 36399900 PMCID: PMC9750498 DOI: 10.1016/j.schres.2022.10.015] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 09/03/2022] [Accepted: 10/30/2022] [Indexed: 11/18/2022]
Abstract
In addition to being a hallmark symptom of schizophrenia-spectrum disorders, auditory verbal hallucinations (AVH) are present in a range of psychiatric disorders as well as among individuals who are otherwise healthy. People who experience AVH are heterogeneous, and research has aimed to better understand what characteristics distinguish, among those who experience AVH, those who experience significant disruption and distress from those who do not. The cognitive model of AVH suggests that appraisals of voices determine the extent to which voices cause distress and social dysfunction. Previous work has relied largely on comparisons of "clinical" and "non-clinical" voice hearers, and few studies have been able to provide insight into the moment-to-moment relationships between appraisals and outcomes. The current study examines longitudinal data provided through ecological momentary assessment and passive sensors of 465 individuals who experience cross-diagnostic AVH. Results demonstrated associations of AVH appraisals to negative affect and social functioning. Above and beyond within-individual averages, when a participant reported increased appraisals of their voices as powerful and difficult to control, they were more likely to feel increased negative affect and reduced feelings of safety. AVH power appraisals were also associated with next-day number and duration of phone calls placed, and AVH controllability appraisals were associated with increased time near speech and reduced next-day time away from primary location. These results suggest that appraisals are state-like characteristics linked with day-to-day and moment-to-moment changes in impactful affective and behavioral outcomes; intervention approaches should aim to address these domains in real-time.
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Affiliation(s)
- Benjamin Buck
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States of America.
| | - Jeffrey Munson
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States of America
| | - Ayesha Chander
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States of America
| | - Weichen Wang
- Department of Computer Science, Dartmouth College, Hanover, NH, United States of America
| | - Carolyn J Brenner
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States of America
| | - Andrew T Campbell
- Department of Computer Science, Dartmouth College, Hanover, NH, United States of America
| | - Dror Ben-Zeev
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States of America
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Han M, Lee K. Effectiveness of a Metacognitive Intervention for Schizophrenia (MCI-S) Program for Symptom Relief and Improvement in Social Cognitive Functioning in Patients with Schizophrenia. Arch Psychiatr Nurs 2022; 41:43-50. [PMID: 36428074 DOI: 10.1016/j.apnu.2022.07.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Revised: 04/25/2022] [Accepted: 07/03/2022] [Indexed: 11/19/2022]
Abstract
This study investigated the effectiveness of a metacognitive intervention program for symptom relief and improvement in social cognitive functioning among adults with schizophrenia. The program focused on enhancing metacognition to encourage self-awareness and step-by-step perspective expansion. There were 24 participants in the experimental group and 19 participants in the control group. Delusions decreased, and social cognition and social functioning improved in the experimental group compared to the control group. The program demonstrated utility as a treatment modality, which can be part of an overall program of a mental health promotion institution to improve functioning in patients with schizophrenia.
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Affiliation(s)
- Mihwa Han
- Department of Nursing Science, Sunlin University, 30, 36beon-gil, Chogok-gil, Heunghae-eup Pohang-si, Gyeongbuk 37560, Republic of Korea
| | - Kyunghee Lee
- Research Institute of Nursing Science, Keimyung University, 1095 Dalgubeol-daero, Dalseo-Gu, Daegu 42601, Republic of Korea.
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Deakin E, Ng F, Young E, Thorpe N, Newby C, Coupland C, Craven M, Slade M. Design decisions and data completeness for experience sampling methods used in psychosis: systematic review. BMC Psychiatry 2022; 22:669. [PMID: 36307752 PMCID: PMC9617456 DOI: 10.1186/s12888-022-04319-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Accepted: 10/18/2022] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND The experience sampling method (ESM) is an intensive longitudinal research method. Participants complete questionnaires at multiple times about their current or very recent state. The design of ESM studies is complex. People with psychosis have been shown to be less adherent to ESM study protocols than the general population. It is not known how to design studies that increase adherence to study protocols. A lack of typology makes it is hard for researchers to decide how to collect data in a way that allows for methodological rigour, quality of reporting, and the ability to synthesise findings. The aims of this systematic review were to characterise the design choices made in ESM studies monitoring the daily lives of people with psychosis, and to synthesise evidence relating the data completeness to different design choices. METHODS A systematic review was conducted of published literature on studies using ESM with people with psychosis. Studies were included if they used digital technology for data collection and reported the completeness of the data set. The constant comparative method was used to identify design decisions, using inductive identification of design decisions with simultaneous comparison of design decisions observed. Weighted regression was used to identify design decisions that predicted data completeness. The review was pre-registered (PROSPERO CRD42019125545). RESULTS Thirty-eight studies were included. A typology of design choices used in ESM studies was developed, which comprised three superordinate categories of design choice: Study context, ESM approach and ESM implementation. Design decisions that predict data completeness include type of ESM protocol used, length of time participants are enrolled in the study, and if there is contact with the research team during data collection. CONCLUSIONS This review identified a range of design decisions used in studies using ESM in the context of psychosis. Design decisions that influence data completeness were identified. Findings will help the design and reporting of future ESM studies. Results are presented with the focus on psychosis, but the findings can be applied across different mental health populations.
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Affiliation(s)
- Emilia Deakin
- School of Health Sciences, Institute of Mental Health, University of Nottingham, Triumph Road, Nottingham, NG7 2TU, UK. .,Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, UK. .,Nottinghamshire Healthcare NHS Foundation Trust, Nottingham, UK.
| | - Fiona Ng
- grid.4563.40000 0004 1936 8868School of Health Sciences, Institute of Mental Health, University of Nottingham, Triumph Road, Nottingham, NG7 2TU UK
| | - Emma Young
- grid.439378.20000 0001 1514 761XNottinghamshire Healthcare NHS Foundation Trust, Nottingham, UK
| | - Naomi Thorpe
- grid.439378.20000 0001 1514 761XNottinghamshire Healthcare NHS Foundation Trust, Nottingham, UK
| | - Christopher Newby
- grid.4563.40000 0004 1936 8868School of Medicine, University of Nottingham, Nottingham, UK
| | - Carol Coupland
- grid.4563.40000 0004 1936 8868School of Medicine, University of Nottingham, Nottingham, UK
| | - Michael Craven
- grid.4563.40000 0004 1936 8868Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, UK ,grid.4563.40000 0004 1936 8868Human Factors Research Group, Faculty of Engineering, University of Nottingham, Nottingham, UK ,grid.4563.40000 0004 1936 8868Institute of Mental Health, NIHR MindTech MedTech Co-Operative, University of Nottingham, Nottingham, UK
| | - Mike Slade
- grid.4563.40000 0004 1936 8868School of Health Sciences, Institute of Mental Health, University of Nottingham, Triumph Road, Nottingham, NG7 2TU UK ,grid.4563.40000 0004 1936 8868Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, UK ,grid.465487.cNord University, Postboks 474, 7801 Namsos, Norway
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Xu W, Wang W, Portanova J, Chander A, Campbell A, Pakhomov S, Ben-Zeev D, Cohen T. Fully automated detection of formal thought disorder with Time-series Augmented Representations for Detection of Incoherent Speech (TARDIS). J Biomed Inform 2022; 126:103998. [PMID: 35063668 PMCID: PMC8844699 DOI: 10.1016/j.jbi.2022.103998] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Revised: 01/10/2022] [Accepted: 01/13/2022] [Indexed: 02/03/2023]
Abstract
Formal thought disorder (ThD) is a clinical sign of schizophrenia amongst other serious mental health conditions. ThD can be recognized by observing incoherent speech - speech in which it is difficult to perceive connections between successive utterances and lacks a clear global theme. Automated assessment of the coherence of speech in patients with schizophrenia has been an active area of research for over a decade, in an effort to develop an objective and reliable instrument through which to quantify ThD. However, this work has largely been conducted in controlled settings using structured interviews and depended upon manual transcription services to render audio recordings amenable to computational analysis. In this paper, we present an evaluation of such automated methods in the context of a fully automated system using Automated Speech Recognition (ASR) in place of a manual transcription service, with "audio diaries" collected in naturalistic settings from participants experiencing Auditory Verbal Hallucinations (AVH). We show that performance lost due to ASR errors can often be restored through the application of Time-Series Augmented Representations for Detection of Incoherent Speech (TARDIS), a novel approach that involves treating the sequence of coherence scores from a transcript as a time-series, providing features for machine learning. With ASR, TARDIS improves average AUC across coherence metrics for detection of severe ThD by 0.09; average correlation with human-labeled derailment scores by 0.10; and average correlation between coherence estimates from manual and ASR-derived transcripts by 0.29. In addition, TARDIS improves the agreement between coherence estimates from manual transcripts and human judgment and correlation with self-reported estimates of AVH symptom severity. As such, TARDIS eliminates a fundamental barrier to the deployment of automated methods to detect linguistic indicators of ThD to monitor and improve clinical care in serious mental illness.
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Affiliation(s)
- Weizhe Xu
- Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, United States.
| | - Weichen Wang
- Department of Computer Science, Dartmouth College, Hanover, NH, United States
| | - Jake Portanova
- Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, United States
| | - Ayesha Chander
- Behavioral Research in Technology (BRiTE) Center, Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States
| | - Andrew Campbell
- Department of Computer Science, Dartmouth College, Hanover, NH, United States
| | - Serguei Pakhomov
- Pharmaceutical Care and Health Systems, University of Minnesota, MN, United States
| | - Dror Ben-Zeev
- Behavioral Research in Technology (BRiTE) Center, Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States
| | - Trevor Cohen
- Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, United States; Behavioral Research in Technology (BRiTE) Center, Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States.
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Ben-Zeev D, Chander A, Tauscher J, Buck B, Nepal S, Campbell A, Doron G. A Smartphone Intervention for People With Serious Mental Illness: Fully Remote Randomized Controlled Trial of CORE. J Med Internet Res 2021; 23:e29201. [PMID: 34766913 PMCID: PMC8663659 DOI: 10.2196/29201] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 05/19/2021] [Accepted: 10/03/2021] [Indexed: 01/23/2023] Open
Abstract
Background People with serious mental illness (SMI) have significant unmet mental health needs. Development and testing of digital interventions that can alleviate the suffering of people with SMI is a public health priority. Objective The aim of this study is to conduct a fully remote randomized waitlist-controlled trial of CORE, a smartphone intervention that comprises daily exercises designed to promote reassessment of dysfunctional beliefs in multiple domains. Methods Individuals were recruited via the web using Google and Facebook advertisements. Enrolled participants were randomized into either active intervention or waitlist control groups. Participants completed the Beck Depression Inventory-Second Edition (BDI-II), Generalized Anxiety Disorder-7 (GAD-7), Hamilton Program for Schizophrenia Voices, Green Paranoid Thought Scale, Recovery Assessment Scale (RAS), Rosenberg Self-Esteem Scale (RSES), Friendship Scale, and Sheehan Disability Scale (SDS) at baseline (T1), 30-day (T2), and 60-day (T3) assessment points. Participants in the active group used CORE from T1 to T2, and participants in the waitlist group used CORE from T2 to T3. Both groups completed usability and accessibility measures after they concluded their intervention periods. Results Overall, 315 individuals from 45 states participated in this study. The sample comprised individuals with self-reported bipolar disorder (111/315, 35.2%), major depressive disorder (136/315, 43.2%), and schizophrenia or schizoaffective disorder (68/315, 21.6%) who displayed moderate to severe symptoms and disability levels at baseline. Participants rated CORE as highly usable and acceptable. Intent-to-treat analyses showed significant treatment×time interactions for the BDI-II (F1,313=13.38; P<.001), GAD-7 (F1,313=5.87; P=.01), RAS (F1,313=23.42; P<.001), RSES (F1,313=19.28; P<.001), and SDS (F1,313=10.73; P=.001). Large effects were observed for the BDI-II (d=0.58), RAS (d=0.61), and RSES (d=0.64); a moderate effect size was observed for the SDS (d=0.44), and a small effect size was observed for the GAD-7 (d=0.20). Similar changes in outcome measures were later observed in the waitlist control group participants following crossover after they received CORE (T2 to T3). Approximately 41.5% (64/154) of participants in the active group and 60.2% (97/161) of participants in the waitlist group were retained at T2, and 33.1% (51/154) of participants in the active group and 40.3% (65/161) of participants in the waitlist group were retained at T3. Conclusions We successfully recruited, screened, randomized, treated, and assessed a geographically dispersed sample of participants with SMI entirely via the web, demonstrating that fully remote clinical trials are feasible in this population; however, study retention remains challenging. CORE showed promise as a usable, acceptable, and effective tool for reducing the severity of psychiatric symptoms and disability while improving recovery and self-esteem. Rapid adoption and real-world dissemination of evidence-based mobile health interventions such as CORE are needed if we are to shorten the science-to-service gap and address the significant unmet mental health needs of people with SMI during the COVID-19 pandemic and beyond. Trial Registration ClinicalTrials.gov NCT04068467; https://clinicaltrials.gov/ct2/show/NCT04068467
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Affiliation(s)
- Dror Ben-Zeev
- Behavioral Research in Technology and Engineering Center, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States
| | - Ayesha Chander
- Behavioral Research in Technology and Engineering Center, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States
| | - Justin Tauscher
- Behavioral Research in Technology and Engineering Center, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States
| | - Benjamin Buck
- Behavioral Research in Technology and Engineering Center, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States
| | - Subigya Nepal
- Department of Computer Science, Dartmouth College, Hanover, NH, United States
| | - Andrew Campbell
- Department of Computer Science, Dartmouth College, Hanover, NH, United States
| | - Guy Doron
- School of Psychology, Interdisciplinary Center, Herzliya, Israel
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Lange I, Papalini S, Vervliet B. Experimental models in psychopathology research: The relation between Research Domain Criteria and Experimental Psychopathology. Curr Opin Psychol 2021; 41:118-123. [PMID: 34418641 DOI: 10.1016/j.copsyc.2021.07.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2020] [Revised: 06/07/2021] [Accepted: 07/12/2021] [Indexed: 11/18/2022]
Abstract
Experimental Psychopathology (EPP) and the Research Domain Criteria (RDoC) are research approaches that have developed in parallel, providing inter-related yet different scientific frameworks to investigate psychopathology at the intersection of fundamental and applied research. Here we address the overlap and differences between RDoC and EPP, and the challenges that both approaches face. Although overlap between EPP and RDoC can be clearly observed, each approach has its own unique strengths and weaknesses. These aspects will be illustrated by examples with respect to fear conditioning, an experimental procedure that has played a central role in both EPP and RDoC. We see much potential in boosting psychopathology research by combining the strengths of these two approaches.
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Affiliation(s)
- Iris Lange
- Laboratory of Biological Psychology, Department of Brain and Cognition, KU Leuven, Belgium; Leuven Brain Institute, KU Leuven, Belgium.
| | - Silvia Papalini
- Laboratory of Biological Psychology, Department of Brain and Cognition, KU Leuven, Belgium; Leuven Brain Institute, KU Leuven, Belgium
| | - Bram Vervliet
- Laboratory of Biological Psychology, Department of Brain and Cognition, KU Leuven, Belgium; Leuven Brain Institute, KU Leuven, Belgium
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11
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Buck B, Chander A, Brian RM, Wang W, Campbell AT, Ben-Zeev D. Expanding the Reach of Research: Quantitative Evaluation of a Web-Based Approach for Remote Recruitment of People Who Hear Voices. JMIR Form Res 2021; 5:e23118. [PMID: 34081011 PMCID: PMC8212619 DOI: 10.2196/23118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2020] [Revised: 10/09/2020] [Accepted: 04/12/2021] [Indexed: 11/22/2022] Open
Abstract
Background Similar to other populations with highly stigmatized medical or psychiatric conditions, people who hear voices (ie, experience auditory verbal hallucinations [AVH]) are often difficult to identify and reach for research. Technology-assisted remote research strategies reduce barriers to research recruitment; however, few studies have reported on the efficiency and effectiveness of these approaches. Objective This study introduces and evaluates the efficacy of technology-assisted remote research designed for people who experience AVH. Methods Our group developed an integrated, automated and human complementary web-based recruitment and enrollment apparatus that incorporated Google Ads, web-based screening, identification verification, hybrid automation, and interaction with live staff. We examined the efficacy of that apparatus by examining the number of web-based advertisement impressions (ie, number of times the web-based advertisement was viewed); clicks on that advertisement; engagement with web-based research materials; and the extent to which it succeeded in representing a broad sample of individuals with AVH, assessed through the self-reported AVH symptom severity and demographic representativeness (relative to the US population) of the sample recruited. Results Over an 18-month period, our Google Ads advertisement was viewed 872,496 times and clicked on 11,183 times. A total amount of US $4429.25 was spent on Google Ads, resulting in 772 individuals who experience AVH providing consent to participate in an entirely remote research study (US $0.40 per click on the advertisement and US $5.73 per consented participant) after verifying their phone number, passing a competency screening questionnaire, and providing consent. These participants reported high levels of AVH frequency (666/756, 88.1% daily or more), distress (689/755, 91.3%), and functional interference (697/755, 92.4%). They also represented a broad sample of diversity that mirrored the US population demographics. Approximately one-third (264/756, 34.9%) of the participants had never received treatment for their AVH and, therefore, were unlikely to be identified via traditional clinic-based research recruitment strategies. Conclusions Web-based procedures allow for time saving, cost-efficient, and representative recruitment of individuals with AVH and can serve as a model for future studies focusing on hard-to-reach populations.
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Affiliation(s)
- Benjamin Buck
- Behavioral Research in Technology and Engineering (BRiTE) Center, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States
| | - Ayesha Chander
- Behavioral Research in Technology and Engineering (BRiTE) Center, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States
| | - Rachel M Brian
- Behavioral Research in Technology and Engineering (BRiTE) Center, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States
| | - Weichen Wang
- Department of Computer Science, Dartmouth College, Hanover, NH, United States
| | - Andrew T Campbell
- Department of Computer Science, Dartmouth College, Hanover, NH, United States
| | - Dror Ben-Zeev
- Behavioral Research in Technology and Engineering (BRiTE) Center, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States
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