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Gatdula N, Costa CB, Rascón MS, Deckers CM, Bird M. College students' perceptions of telemental health to address their mental health needs. JOURNAL OF AMERICAN COLLEGE HEALTH : J OF ACH 2024; 72:515-521. [PMID: 35271419 DOI: 10.1080/07448481.2022.2047697] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Revised: 12/30/2021] [Accepted: 02/23/2022] [Indexed: 06/14/2023]
Abstract
Objective: To understand the feasibility of using telehealth for mental health services among college students. Participants: College students (N = 16) attending a university in Southern California, 18 years or older, and living in the residential halls. Methods: Two face-to-face semi-structured focus groups were conducted using a semi-structured moderator guide. Written consent and a demographic survey were completed. Descriptive thematic analysis was conducted independently by members of the research team. Results: Participants reported mixed feelings about their level of comfort using technology to access mental health services. Some participants acknowledged the value of using technology, while many voiced issues of distrust and privacy, in addition to the loss of empathy and personal connection with the mental health practitioner. Conclusion: Offering a menu of telehealth options including a hybrid approach (in-person/telehealth) may be necessary to address the issues of comfort, privacy, and trust to effectively reach college students with technology-based mental health services.
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Affiliation(s)
- Natalia Gatdula
- Center for Latino Community Health, Evaluation, and Leadership Training, California State University Long Beach, Long Beach, California, USA
| | - Christine B Costa
- School of Nursing, California State University Long Beach, Long Beach, California, USA
| | - Mayra S Rascón
- Center for Latino Community Health, Evaluation, and Leadership Training, California State University Long Beach, Long Beach, California, USA
| | - Cathleen M Deckers
- School of Nursing, California State University Long Beach, Long Beach, California, USA
| | - Mara Bird
- Center for Latino Community Health, Evaluation, and Leadership Training, California State University Long Beach, Long Beach, California, USA
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Aguilera A, Arévalo Avalos MR, Rosales K, Reyes Y, Hernandez-Ramos R, Ramos G, Garcia E, Hoang T, Ochoa-Frongia L, Fortuna LR, Schueller SM. Effectiveness-implementation hybrid trial of Spanish language, digital cognitive-behavioral therapy (dCBT) intervention for depression and anxiety - protocol for the SUPERA (SUpport from PEeRs to expand Access) study. Contemp Clin Trials 2024; 137:107422. [PMID: 38145715 PMCID: PMC11138320 DOI: 10.1016/j.cct.2023.107422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 11/09/2023] [Accepted: 12/20/2023] [Indexed: 12/27/2023]
Abstract
BACKGROUND Limited English Proficiency (LEP) Latinxs experience a longer duration of untreated depression and anxiety. LEP Latinxs have difficulty accessing mental healthcare due to insufficient Spanish-speaking behavioral/mental health clinicians to meet demand. These under-resourced healthcare systems are less likely to be the site for the implementation of innovations. Digital interventions can provide an effective option for overcoming these barriers; yet, when digital evidence-based treatments are available, uptake and engagement is often low. This manuscript presents the protocol for the SUPERA (SUpport from PEeRs to expand Access) study which will evaluate the implementation of an evidence-based, Spanish language, digital cognitive-behavioral therapy (dCBT) intervention (i.e., SilverCloud) in safety-net primary care clinics for LEP Latinx patients with depression or anxiety. METHODS We will conduct an effectiveness-implementation hybrid trial (Type 2) design comparing engagement and clinical outcomes in two modalities of dCBT delivery (peer-supported vs. unsupported). We will also compare provider-level outreach (using a clinic patient registry) versus inreach (traditional provider referral) to compare rates of initiation, completion, and cost. Participants will be 426 LEP Latinx adults ≥18 years of age, PHQ-9 ≥ 10 or GAD-7 ≥ 8, with access to the internet via smartphone, and not currently receiving individual psychotherapy. We will collect baseline, post-intervention (8 weeks), and follow up (3 months) data. CONCLUSION The long-term goal of this research is to aid in the implementation of digital mental health interventions that can be sustainably implemented in low-resourced settings, while reducing the reliance on professionals, overcoming workforce deficits, and increasing relevance for diverse populations.
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Affiliation(s)
- Adrian Aguilera
- School of Social Welfare, University of California Berkeley, Berkeley, CA, United States of America; Department of Psychiatry, University of California-San Francisco, San Francisco, CA, United States of America.
| | - Marvyn R Arévalo Avalos
- School of Social Welfare, University of California Berkeley, Berkeley, CA, United States of America
| | - Karina Rosales
- School of Social Welfare, University of California Berkeley, Berkeley, CA, United States of America
| | - Yazleen Reyes
- Department of Psychological Science, University of California Irvine, Irvine, CA, United States of America
| | - Rosa Hernandez-Ramos
- Department of Psychological Science, University of California Irvine, Irvine, CA, United States of America
| | - Giovanni Ramos
- Department of Psychological Science, University of California Irvine, Irvine, CA, United States of America
| | - Esmeralda Garcia
- School of Social Welfare, University of California Berkeley, Berkeley, CA, United States of America
| | - Tuyen Hoang
- Biostatistics, Epidemiology & Research Design (BERD) Unit, University of California, Irvine, Irvine, CA, United States of America
| | - Lisa Ochoa-Frongia
- School of Medicine, University of California-San Francisco, San Francisco, CA, United States of America
| | - Lisa R Fortuna
- Department of Psychiatry, University of California-San Francisco, San Francisco, CA, United States of America
| | - Stephen M Schueller
- Department of Psychological Science, University of California Irvine, Irvine, CA, United States of America
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3
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Benjet C, Albor Y, Alvis-Barranco L, Contreras-Ibáñez CC, Cuartas G, Cudris-Torres L, González N, Cortés-Morelos J, Gutierrez-Garcia RA, Medina-Mora ME, Patiño P, Vargas-Contreras E, Cuijpers P, Gildea SM, Kazdin AE, Kennedy CJ, Luedtke A, Sampson NA, Petukhova MV, Zainal NH, Kessler RC. Internet-delivered cognitive behavior therapy versus treatment as usual for anxiety and depression among Latin American university students: A randomized clinical trial. J Consult Clin Psychol 2023; 91:694-707. [PMID: 38032621 PMCID: PMC11078571 DOI: 10.1037/ccp0000846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2023]
Abstract
OBJECTIVE Untreated mental disorders are important among low- and middle-income country (LMIC) university students in Latin America, where barriers to treatment are high. Scalable interventions are needed. This study compared transdiagnostic self-guided and guided internet-delivered cognitive behavioral therapy (i-CBT) with treatment as usual (TAU) for clinically significant anxiety and depression among undergraduates in Colombia and Mexico. METHOD 1,319 anxious, as determined by the Generalized Anxiety Disorder-7 (GAD-7) = 10+ and/or depressed, as determined by the Patient Health Questionnaire-9 (PHQ-9) = 10+, undergraduates (mean [SD] age = 21.4 [3.2]); 78.7% female; 55.9% first-generation university student) from seven universities in Colombia and Mexico were randomized to culturally adapted versions of self-guided i-CBT (n = 439), guided i-CBT (n = 445), or treatment as usual (TAU; n = 435). All randomized participants were reassessed 3 months after randomization. The primary outcome was remission of both anxiety (GAD-7 = 0-4) and depression (PHQ-9 = 0-4). We hypothesized that remission would be higher with guided i-CBT than with the other interventions. RESULTS Intent-to-treat analysis found significantly higher adjusted (for university and loss to follow-up) remission rates (ARD) among participants randomized to guided i-CBT than either self-guided i-CBT (ARD = 13.1%, χ12 = 10.4, p = .001) or TAU (ARD = 11.2%, χ12 = 8.4, p = .004), but no significant difference between self-guided i-CBT and TAU (ARD = -1.9%, χ12 = 0.2, p = .63). Per-protocol sensitivity analyses and analyses of dimensional outcomes yielded similar results. CONCLUSIONS Significant reductions in anxiety and depression among LMIC university students could be achieved with guided i-CBT, although further research is needed to determine which students would most likely benefit from this intervention. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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Affiliation(s)
- Corina Benjet
- Center for Global Mental Health, National Institute of Psychiatry Ramón de la Fuente Muñiz, Mexico City, Mexico
| | - Yesica Albor
- Center for Global Mental Health, National Institute of Psychiatry Ramón de la Fuente Muñiz, Mexico City, Mexico
| | | | | | - Gina Cuartas
- Facultad de Psicología, Universidad Cooperativa de Colombia, Medellin, Colombia
| | - Lorena Cudris-Torres
- Programa de Psicología, Fundación Universitaria del Area Andina, Valledupar, Colombia
| | - Noé González
- Center for Global Mental Health, National Institute of Psychiatry Ramón de la Fuente Muñiz, Mexico City, Mexico
| | - Jacqueline Cortés-Morelos
- Departamento de Psiquiatría y Salud Mental, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | | | - Maria Elena Medina-Mora
- Center for Global Mental Health, National Institute of Psychiatry Ramón de la Fuente Muñiz, Mexico City, Mexico
| | - Pamela Patiño
- Center for Global Mental Health, National Institute of Psychiatry Ramón de la Fuente Muñiz, Mexico City, Mexico
| | - Eunice Vargas-Contreras
- Facultad de Ciencias Administrativas y Sociales, Universidad Autónoma de Baja California, Ensenada, Mexico
| | - Pim Cuijpers
- Department of Clinical, Neuro-, and Developmental Psychology, Vrije Universiteit, Amsterdam, The Netherlands
- Babeș-Bolyai University, International Institute for Psychotherapy, Cluj-Napoca, Romania
| | - Sarah M. Gildea
- Department of Health Care Policy, Harvard Medical School, Boston, MA, USA
| | - Alan E. Kazdin
- Department of Psychology, Yale University, New Haven, CT, USA
| | - Chris J. Kennedy
- Center for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Alex Luedtke
- Department of Statistics, University of Washington, Seattle, WA, USA
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Nancy A. Sampson
- Department of Health Care Policy, Harvard Medical School, Boston, MA, USA
| | - Maria V. Petukhova
- Department of Health Care Policy, Harvard Medical School, Boston, MA, USA
| | - Nur Hani Zainal
- Department of Health Care Policy, Harvard Medical School, Boston, MA, USA
| | - Ronald C. Kessler
- Department of Health Care Policy, Harvard Medical School, Boston, MA, USA
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Ciharova M, Cuijpers P, Amanvermez Y, Riper H, Klein AM, Bolinski F, de Wit LM, van der Heijde CM, Bruffaerts R, Struijs S, Wiers RW, Karyotaki E. Use of tailoring features and reasons for dropout in a guided internet-based transdiagnostic individually-tailored cognitive behavioral therapy for symptoms of depression and/or anxiety in college students. Internet Interv 2023; 34:100646. [PMID: 38099094 PMCID: PMC10719529 DOI: 10.1016/j.invent.2023.100646] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 07/01/2023] [Accepted: 07/07/2023] [Indexed: 12/17/2023] Open
Abstract
Transdiagnostic individually-tailored digital interventions reduce symptoms of depression and anxiety in adults with moderate effects. However, research into these approaches for college students is scarce and contradicting. In addition, the exact reasons for intervention dropout in this target group are not well known, and the use of individually-tailored intervention features, such as optional modules, has not yet been explored. The current study aimed to (1) investigate reasons for dropout from a guided internet-based transdiagnostic individually-tailored intervention for college students assessed in a randomized controlled trial (RCT) and (2) evaluate whether participants used tailoring features intended for their baseline symptoms. A sample of college students with mild to moderate depression and/or anxiety symptoms (n = 48) in the Netherlands (partially) followed a guided internet-based transdiagnostic individually-tailored intervention. We contacted those who did not complete the entire intervention (n = 29) by phone to report the reasons for intervention dropout. Further, we descriptively explored the use of tailoring features (i.e., depression versus anxiety trajectory) and optional modules of the intervention in the whole sample. We identified a range of person- and intervention-related reasons for intervention dropout, most commonly busy schedules, needs for different kinds of help, or absence of personal contact. Furthermore, only less than half of the participants used the individually-tailoring features to address the symptoms they reported as predominant. In conclusion, digital interventions clear about the content and targeted symptoms, tested in user research could prevent dropout and create reasonable expectations of the intervention. Participants would benefit from additional guidance when using tailoring features of digital interventions, as they often do not choose the tailoring features targeting their baseline symptoms.
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Affiliation(s)
- Marketa Ciharova
- Department of Clinical, Neuro-, and Developmental Psychology, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, BT 1081 Amsterdam, the Netherlands
- Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, BT 1081 Amsterdam, the Netherlands
| | - Pim Cuijpers
- Department of Clinical, Neuro-, and Developmental Psychology, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, BT 1081 Amsterdam, the Netherlands
- Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, BT 1081 Amsterdam, the Netherlands
- WHO Collaborating Center for Research and Dissemination of Psychological Interventions, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, BT 1081 Amsterdam, the Netherlands
- Faculty of Medicine, Dept. of Psychiatry, University of Turku, FI-20014 Turun yliopisto, Finland
- Babeș-Bolyai University, International Institute for Psychotherapy, No.37, Republicii Street 400015, Cluj-Napoca, Romania
| | - Yagmur Amanvermez
- Department of Clinical, Neuro-, and Developmental Psychology, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, BT 1081 Amsterdam, the Netherlands
- Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, BT 1081 Amsterdam, the Netherlands
| | - Heleen Riper
- Department of Clinical, Neuro-, and Developmental Psychology, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, BT 1081 Amsterdam, the Netherlands
- Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, BT 1081 Amsterdam, the Netherlands
- Faculty of Medicine, Dept. of Psychiatry, University of Turku, FI-20014 Turun yliopisto, Finland
- Research Unit for Telepsychiatry and e-Mental Health, Department of Clinical Research, University of Southern Denmark, J.B. Winsløws Vej 19,3, 5000 Odense, Denmark
- Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1118, 1081 HZ Amsterdam, the Netherlands
| | - Anke M. Klein
- Developmental and Educational Psychology of the Institute of Psychology, Leiden University, Rapenburg 70, 2311 EZ Leiden, the Netherlands
- Addiction, Development, and Psychopathology Lab, Department of Psychology, University of Amsterdam, Nieuwe Achtergracht 129, 1001NK Amsterdam, the Netherlands
| | - Felix Bolinski
- Department of Clinical, Neuro-, and Developmental Psychology, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, BT 1081 Amsterdam, the Netherlands
- Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, BT 1081 Amsterdam, the Netherlands
- Department of Mental Health and Prevention, Trimbos Institute, Da Costakade 45, 3521 VS Utrecht, the Netherlands
| | - Leonore M. de Wit
- Department of Clinical, Neuro-, and Developmental Psychology, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, BT 1081 Amsterdam, the Netherlands
- Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, BT 1081 Amsterdam, the Netherlands
| | - Claudia M. van der Heijde
- Department of Research, Development and Prevention, Student Health Service, University of Amsterdam, Oude Turfmarkt 151, 1012 GC Amsterdam, the Netherlands
| | - Ronny Bruffaerts
- Universitair Psychiatrisch Centrum, Centre for Public Health Psychiatry, Katholieke Universiteit Leuven, Herestraat 49, 3000 Leuven, Belgium
| | - Sascha Struijs
- Department of Clinical, Neuro-, and Developmental Psychology, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, BT 1081 Amsterdam, the Netherlands
- Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, BT 1081 Amsterdam, the Netherlands
| | - Reinout W. Wiers
- Addiction, Development, and Psychopathology Lab, Department of Psychology, University of Amsterdam, Nieuwe Achtergracht 129, 1001NK Amsterdam, the Netherlands
- Center for Urban Mental Health, Oude Turfmarkt 145-147, 1012 GC Amsterdam, the Netherlands
| | - Eirini Karyotaki
- Department of Clinical, Neuro-, and Developmental Psychology, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, BT 1081 Amsterdam, the Netherlands
- Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, BT 1081 Amsterdam, the Netherlands
- WHO Collaborating Center for Research and Dissemination of Psychological Interventions, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, BT 1081 Amsterdam, the Netherlands
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Fitzsimmons-Craft EE, Rojas E, Topooco N, Rackoff GN, Zainal NH, Eisenberg D, Shah J, Desage C, Wilfley DE, Taylor CB, Newman MG. Training, supervision, and experience of coaches offering digital guided self-help for mental health concerns. Front Psychol 2023; 14:1217698. [PMID: 38078269 PMCID: PMC10698738 DOI: 10.3389/fpsyg.2023.1217698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 10/19/2023] [Indexed: 02/12/2024] Open
Abstract
Accessible, low-cost intervention options are necessary to address the rise in mental health problems among college students. Digital guided self-help, or coached, programs have been developed to provide such services, with many commercially available. As such, there are a large and growing number of individuals coaching these programs. However, an unmet need is to evaluate and assess best practices for training and supervising individuals in these positions. To this end, we describe how we recruited, trained, and supervised coaches as part of a large randomized controlled trial using a widely available digital commercial platform. Coaches were trained to provide digital guided self-help for depression, anxiety, and/or eating disorders for college students. Coaches initially attended three live training sessions over 2-3 weeks, viewed multiple training videos, and read a detailed coaching manual developed by our team. Thereafter, they attended weekly supervision. Following their term, coaches completed an exit survey to assess their supervision and training experiences. A total of 37 of 70 (53%) graduate-level student coaches completed the survey. The experience was reported as very positive (95%). In particular, the majority reported feeling well prepared, more confident, and felt they had developed useful skills for their own practice.
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Affiliation(s)
- Ellen E. Fitzsimmons-Craft
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, MO, United States
| | - Elsa Rojas
- Center for m (2) Health, Palo Alto University, Palo Alto, CA, United States
| | - Naira Topooco
- Center for m (2) Health, Palo Alto University, Palo Alto, CA, United States
- Department of Behavioral Sciences and Learning, Linköping University, Linköping, Sweden
| | - Gavin N. Rackoff
- Department of Psychology, State College, Penn State University, University Park, PA, United States
| | - Nur Hani Zainal
- Harvard Medical School, Department of Healthcare Policy, Boston, MA, United States
| | - Daniel Eisenberg
- Department of Health Policy and Management, Fielding School of Public Health at UCLA, Ann Arbor, MI, United States
| | - Jillian Shah
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, MO, United States
| | - Christina Desage
- Children and Adolescents Psychotherapy and Technology Lab, Palo Alto University, Palo Alto, CA, United States
| | - Denise E. Wilfley
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, MO, United States
| | - Craig Barr Taylor
- Center for m (2) Health, Palo Alto University, Palo Alto, CA, United States
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - Michelle G. Newman
- Department of Psychology, State College, Penn State University, University Park, PA, United States
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6
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Amanvermez Y, Karyotaki E, Cuijpers P, Ciharova M, Donker M, Hurks P, Salemink E, Spinhoven P, Struijs S, de Wit LM. A Guided, Internet-Based Stress Management Intervention for University Students With High Levels of Stress: Feasibility and Acceptability Study. JMIR Form Res 2023; 7:e45725. [PMID: 37948106 PMCID: PMC10674149 DOI: 10.2196/45725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Revised: 06/26/2023] [Accepted: 08/31/2023] [Indexed: 11/12/2023] Open
Abstract
BACKGROUND Transitioning to adulthood and challenges in university life can result in increased stress levels among university students. Chronic and severe stress is associated with deleterious psychological and physiological effects. Digital interventions could succeed in approaching and helping university students who might be at risk; however, the experiences of students with internet-based stress management interventions are insufficiently understood. OBJECTIVE This study aims to explore the feasibility; acceptability; and changes in perceived stress, depressive symptoms, and quality of life from baseline to posttest assessment of a 5-session, internet-based stress management intervention guided by an e-coach, developed for university students experiencing high levels of stress. METHODS A single-arm study was conducted. Students were recruited from different channels, mainly from a web survey. Students were eligible if they (1) scored ≥20 on the Perceived Stress Scale-10, (2) were aged ≥18 years, and (3) were studying at one of the participating universities. Feasibility and acceptability of the intervention were investigated using several indications, including satisfaction (Client Satisfaction Questionnaire-8) and usability (System Usability Scale-10). We also investigated the indicators of intervention adherence using use metrics (eg, the number of completed sessions). Our secondary goal was to explore the changes in perceived stress (Perceived Stress Scale-10), depressive symptoms (Patient Health Questionnaire-9), and quality of life (EQ-5D-5L scale) from baseline to posttest assessment. In addition, we conducted semistructured interviews with intervention completers and noncompleters to understand user experiences in depth. For all primary outcomes, descriptive statistics were calculated. Changes from baseline to posttest assessment were examined using 2-tailed paired sample t tests or the Wilcoxon signed rank test. Qualitative data were analyzed using thematic analysis. RESULTS Of 436 eligible students, 307 (70.4%) students started using the intervention. Overall, 25.7% (79/307) completed the core sessions (ie, sessions 1-3) and posttest assessment. A substantial proportion of the students (228/307, 74.3%) did not complete the core sessions or the posttest assessment. Students who completed the core sessions reported high satisfaction (mean 25.78, SD 3.30) and high usability of the intervention (mean 86.01, SD 10.25). Moreover, this group showed large reductions in perceived stress (Cohen d=0.80) and moderate improvements in depression score (Cohen d=0.47) and quality of life (Cohen d=-0.35) from baseline to posttest assessment. Qualitative findings highlight that several personal and intervention-related factors play a role in user experience. CONCLUSIONS The internet-based stress management intervention seems to be feasible, acceptable, and possibly effective for some university students with elevated stress levels. However, given the high dropout rate and qualitative findings, several adjustments in the content and features of the intervention are needed to maximize the user experience and the impact of the intervention. TRIAL REGISTRATION Netherlands Trial Register 8686; https://onderzoekmetmensen.nl/nl/trial/20889. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) RR2-10.1016/j.invent.2021.100369.
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Affiliation(s)
- Yagmur Amanvermez
- Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, Netherlands
- Department of Medical and Clinical Psychology, Tilburg University, Tilburg, Netherlands
| | - Eirini Karyotaki
- Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, Netherlands
| | - Pim Cuijpers
- Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, Netherlands
| | - Marketa Ciharova
- Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, Netherlands
- Black Dog Institute, University of New South Wales, Sydney, Australia
| | - Marianne Donker
- Department of Health Sciences, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Petra Hurks
- Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands
| | - Elske Salemink
- Department of Clinical Psychology, Utrecht University, Utrecht, Netherlands
| | | | - Sascha Struijs
- Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, Netherlands
| | - Leonore M de Wit
- Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, Netherlands
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Williams AJ, Freed M, Theofanopoulou N, Daudén Roquet C, Klasnja P, Gross J, Schleider J, Slovak P. Feasibility, Perceived Impact, and Acceptability of a Socially Assistive Robot to Support Emotion Regulation With Highly Anxious University Students: Mixed Methods Open Trial. JMIR Ment Health 2023; 10:e46826. [PMID: 37906230 PMCID: PMC10646679 DOI: 10.2196/46826] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 07/14/2023] [Accepted: 07/18/2023] [Indexed: 11/02/2023] Open
Abstract
BACKGROUND Mental health difficulties among university students have been rising rapidly over the last decade, and the demand for university mental health services commonly far exceeds available resources. Digital interventions are seen as one potential solution to these challenges. However, as in other mental health contexts, digital programs often face low engagement and uptake, and the field lacks usable, engaging, evidence-supported mental health interventions that may be used flexibly when students need them most. OBJECTIVE The aim of this study is to investigate the feasibility and acceptability of a new, in situ intervention tool (Purrble) among university students experiencing anxiety. As an intervention, Purrble was designed to provide in situ support for emotion regulation (ER)-a well-known transdiagnostic construct-directly in the moments when individuals are facing emotionally challenging situations. A secondary aim is to consider the perceived impact of Purrble on youth mental health, as reported by students over a 7-week deployment. METHODS A mixed methods open trial was conducted with 78 under- and postgraduate students at Oxford University. Participants were recruited based on moderate to high levels of anxiety measured by Generalized Anxiety Disorder-7 at baseline (mean 16.09, SD 3.03). All participants had access to Purrble for 7 weeks during the spring term with data on their perceived anxiety, emotion dysregulation, ER self-efficacy, and engagement with the intervention collected at baseline (pre), week 4 (mid), and week 8 (postintervention). Qualitative responses were also collected at the mid- and postintervention points. RESULTS The findings demonstrated a sustained engagement with Purrble over the 7-week period, with the acceptability further supported by the qualitative data indicating that students accepted Purrble and that Purrble was well-integrated into their daily routines. Exploratory quantitative data analysis indicated that Purrble was associated with reductions in student anxiety (dz=0.96, 95% CI 0.62-1.29) and emotion dysregulation (dz=0.69, 95% CI 0.38-0.99), and with an increase in ER self-efficacy (dz=-0.56, 95% CI -0.86 to -0.26). CONCLUSIONS This is the first trial of a simple physical intervention that aims to provide ongoing ER support to university students. Both quantitative and qualitative data suggest that Purrble is an acceptable and feasible intervention among students, the engagement with which can be sustained at a stable level across a 7-week period while retaining a perceived benefit for those who use it (n=32, 61% of our sample). The consistency of use is particularly promising given that there was no clinician engagement or further support provided beyond Purrble being delivered to the students. These results show promise for an innovative intervention model, which could be complementary to the existing interventions.
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Affiliation(s)
- A Jess Williams
- Department of Informatics, King's College London, London, United Kingdom
| | - Maureen Freed
- Psychodynamic Studies, University of Oxford, Oxford, United Kingdom
| | | | | | - Predrag Klasnja
- School of Information, University of Michigan, Ann Arbor, MI, United States
| | - James Gross
- Psychophysiology Laboratory, University of Stanford, Stanford, CA, United States
| | - Jessica Schleider
- Department of Psychology, Stony Brook University, New York, NY, United States
| | - Petr Slovak
- Department of Informatics, King's College London, London, United Kingdom
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8
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Ruehlman L, Karoly P. A pilot test of Internet-delivered brief interactive training sessions for depression: Evaluating dropout, uptake, adherence, and outcome. JOURNAL OF AMERICAN COLLEGE HEALTH : J OF ACH 2023; 71:2131-2139. [PMID: 34469262 DOI: 10.1080/07448481.2021.1961781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Revised: 05/31/2021] [Accepted: 07/22/2021] [Indexed: 06/13/2023]
Abstract
OBJECTIVE Uptake, adherence, and dropout rates for Internet-based programs for depression are in need of improvement. Excessive user burden (eg, heavy content, extended duration) may undermine engagement and precipitate dropout. To address this problem, an alternative format was proposed: Brief Interactive Training Sessions (BITS). BITS target a narrow behavioral health skill and require 3-4 hours to complete. A depression-focused version of BITS that provides training in cognitive distortion/restructuring was tested. PARTICIPANTS Fifty-two depressed college students were randomly assigned to BITS or to a wait-list. METHODS Students competed pre-and post-test (7 week) assessments of depression and cognitive distortions. RESULTS Uptake rate was 83%. Among study completers, adherence was 96%. The dropout rate did not improve. Compared to the control group, the experimental group reported a significant reduction in depression and in cognitive distortions. CONCLUSIONS The BITS format is a promising vehicle for improving uptake and adherence while achieving positive clinical outcomes.
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Affiliation(s)
| | - Paul Karoly
- Department of Psychology, Arizona State University, Tempe, Arizona, USA
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9
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Silva S, Basto I, Salgado J, Cunha C. Validation of the client satisfaction questionnaire: a pilot psychometric analysis in Portuguese routine practice. RESEARCH IN PSYCHOTHERAPY (MILANO) 2023; 26:687. [PMID: 37503687 PMCID: PMC10483481 DOI: 10.4081/ripppo.2023.687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 06/04/2023] [Indexed: 07/29/2023]
Abstract
Treatment satisfaction has been found to have good therapeu- tic results in psychotherapy, and the 18-item version of the client satisfaction questionnaire (CSQ-18) is one of the most widely used measures to evaluate it. This study sought to carry out a pilot analysis of the psychometric's properties and factorial structure, as well as validate the CSQ-18's applicability to the Portuguese population within the context of routine clinical practice. It also sought to explore the association that treatment satisfaction has with general symptoms, therapeutic alliance, and expectations at an early stage of psychotherapy. The sample comprised 98 clients who were undergoing psychotherapy in a routine practice context. All these clients completed self-reported measures for symptom assessment and therapeutic relationship, namely the clinical out- come routine evaluation-outcome measure, working alliance in- ventory, and credibility/expectancy questionnaire, in addition to the CSQ-18. The semi-confirmatory factorial analysis demon- strated that the CSQ-18 has good psychometric properties and re- vealed an association between treatment satisfaction and therapeutic alliance. The results corroborate the findings of other versions of the measure and present a good adjustment model for the semi-confirmatory factorial analysis.
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Affiliation(s)
- Sara Silva
- University of Maia; Center for Psychology, University of Porto.
| | - Isabel Basto
- University of Maia; Center for Psychology, University of Porto.
| | - João Salgado
- University of Maia; Center for Psychology, University of Porto.
| | - Carla Cunha
- University of Maia; Center for Psychology, University of Porto.
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10
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D’Adamo L, Paraboschi L, Grammer AC, Fennig M, Graham AK, Yaeger LH, Newman MG, Wilfley DE, Taylor CB, Eisenberg D, Fitzsimmons-Craft EE. Reach and uptake of digital mental health interventions based on cognitive-behavioral therapy for college students: A systematic review. JOURNAL OF BEHAVIORAL AND COGNITIVE THERAPY 2023; 33:97-117. [PMID: 37724304 PMCID: PMC10506850 DOI: 10.1016/j.jbct.2023.05.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/20/2023]
Abstract
Background Mental health problems are increasing in prevalence among college students, yet few students receive treatment due to barriers such as insufficient resources in college counseling centers. Digital mental health interventions (DMHIs) have potential to overcome barriers and offer accessible, evidence-based care to college students. However, to evaluate the true public health impact of evidence-based DMHIs, it is important to assess the reach and uptake rates of DMHIs on college campuses. Objectives We conducted a systematic review to examine the reach (i.e., % of invited students who express interest) and uptake (i.e., % of enrolled participants who initiate an intervention) of DMHIs based on cognitive-behavioral therapy (CBT) for college students. Methods Eight databases were searched. Inclusion criteria included: (1) college population; (2) experimental design; (3) CBT-based intervention; (4) intervention targeting specific mental health conditions; and (5) digital intervention. Reach and uptake rates were calculated from data reported. A systematic narrative review framework was used to synthesize results. Results Of 10,315 articles screened, 90 were included. Seventeen studies (19%) reported sufficient data to calculate reach; 35 studies (39%) reported uptake rates. Of studies that reported reach or uptake, most evaluated unguided (n = 20) or guided (n = 16) self-help programs. Measurement methods varied widely. Overall reach was low, whereas uptake was high among enrolled participants. Discussion Despite evidence that improving reach and uptake can increase the public health impact of DMHIs, most studies did not report on either outcome. Suggested practices to improve these outcomes, and their reporting, are discussed.
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Affiliation(s)
- Laura D’Adamo
- Department of Psychiatry, Washington University School of Medicine, Mailstop 8134-29-2100, 660 S. Euclid Ave., St. Louis, MO 63110, USA
- Department of Psychological and Brain Sciences and Center for Weight, Eating, and Lifestyle Science (WELL Center), Drexel University, 3201 Chestnut St. Philadelphia, PA 19104, USA
| | - Layna Paraboschi
- Department of Psychiatry, Washington University School of Medicine, Mailstop 8134-29-2100, 660 S. Euclid Ave., St. Louis, MO 63110, USA
| | - Anne Claire Grammer
- Department of Psychiatry, Washington University School of Medicine, Mailstop 8134-29-2100, 660 S. Euclid Ave., St. Louis, MO 63110, USA
| | - Molly Fennig
- Department of Psychiatry, Washington University School of Medicine, Mailstop 8134-29-2100, 660 S. Euclid Ave., St. Louis, MO 63110, USA
| | - Andrea K. Graham
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, 633 N St Clair St, Chicago, IL 60611, USA
| | - Lauren H. Yaeger
- Washington University School of Medicine, 660 S Euclid Ave, St. Louis, MO 63110, USA
| | - Michelle G. Newman
- Department of Psychology, The Pennsylvania State University, 371 Moore Building, University Park, PA 16801, USA
| | - Denise E. Wilfley
- Department of Psychiatry, Washington University School of Medicine, Mailstop 8134-29-2100, 660 S. Euclid Ave., St. Louis, MO 63110, USA
| | - C. Barr Taylor
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, 401 Quarry Road, Stanford, CA 94305, USA
- Center for m Health, Palo Alto University, 5150 El Camino Real, Los Altos, CA 94022, USA
| | - Daniel Eisenberg
- Department of Health Policy and Management, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Ellen E. Fitzsimmons-Craft
- Department of Psychiatry, Washington University School of Medicine, Mailstop 8134-29-2100, 660 S. Euclid Ave., St. Louis, MO 63110, USA
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11
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Alavi N, Moghimi E, Stephenson C, Gutierrez G, Jagayat J, Kumar A, Shao Y, Miller S, Yee CS, Stefatos A, Gholamzadehmir M, Abbaspour Z, Shirazi A, Gizzarelli T, Khan F, Patel C, Patel A, Yang M, Omrani M. Comparison of online and in-person cognitive behavioral therapy in individuals diagnosed with major depressive disorder: a non-randomized controlled trial. Front Psychiatry 2023; 14:1113956. [PMID: 37187863 PMCID: PMC10175610 DOI: 10.3389/fpsyt.2023.1113956] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 04/10/2023] [Indexed: 05/17/2023] Open
Abstract
Objective The increased prevalence of major depressive disorder (MDD) amid the COVID-19 pandemic has resulted in substantial growth in online mental health care delivery. Compared to its in-person counterpart, online cognitive behavioral therapy (e-CBT) is a time-flexible and cost-effective method of improving MDD symptoms. However, how its efficacy compares to in-person CBT is yet to be explored. Therefore, the current study compared the efficacy of a therapist-supported, electronically delivered e-CBT program to in-person therapy in individuals diagnosed with MDD. Methods Participants (n = 108) diagnosed with MDD selected either a 12 week in-person CBT or an asynchronous therapist-supported e-CBT program. E-CBT participants (n = 55) completed weekly interactive online modules delivered through a secure cloud-based online platform (Online Psychotherapy Tool; OPTT). These modules were followed by homework in which participants received personalized feedback from a trained therapist. Participants in the in-person CBT group (n = 53) discussed sessions and homework with their therapists during one-hour weekly meetings. Program efficacy was evaluated using clinically validated symptomatology and quality of life questionnaires. Results Both treatments yielded significant improvements in depressive symptoms and quality of life from baseline to post-treatment. Participants who opted for in-person therapy presented significantly higher baseline symptomatology scores than the e-CBT group. However, both treatments demonstrated comparable significant improvements in depressive symptoms and quality of life from baseline to post-treatment. e-CBT seems to afford higher participant compliance as dropouts in the e-CBT group completed more sessions on average than those in the in-person CBT group. Conclusion The findings support e-CBT with therapist guidance as a suitable option to treat MDD. Future studies should investigate how treatment accessibility is related to program completion rates in the e-CBT vs. in-person group. Clinical Trial Registration ClinicalTrials.Gov Protocol Registration and Results System (NCT04478058); clinicaltrials.gov/ct2/show/NCT04478058.
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Affiliation(s)
- Nazanin Alavi
- Department of Psychiatry, Queen’s University, Kingston, ON, Canada
- Centre for Neuroscience Studies, Queen’s University, Kingston, ON, Canada
- OPTT Inc., Toronto, ON, Canada
- *Correspondence: Nazanin Alavi,
| | - Elnaz Moghimi
- Department of Psychiatry, Queen’s University, Kingston, ON, Canada
| | | | - Gilmar Gutierrez
- Department of Psychiatry, Queen’s University, Kingston, ON, Canada
| | - Jasleen Jagayat
- Centre for Neuroscience Studies, Queen’s University, Kingston, ON, Canada
| | - Anchan Kumar
- Department of Psychiatry, Queen’s University, Kingston, ON, Canada
| | - Yijia Shao
- Department of Psychology, University of Toronto, Toronto, ON, Canada
| | - Shadé Miller
- Department of Psychiatry, Queen’s University, Kingston, ON, Canada
| | - Caitlin S. Yee
- Department of Psychiatry, Queen’s University, Kingston, ON, Canada
| | - Anthi Stefatos
- Department of Psychiatry, Queen’s University, Kingston, ON, Canada
| | | | - Zara Abbaspour
- Department of Psychiatry, Queen’s University, Kingston, ON, Canada
| | | | - Tessa Gizzarelli
- Department of Psychiatry, Queen’s University, Kingston, ON, Canada
| | - Ferwa Khan
- Department of Psychiatry, Queen’s University, Kingston, ON, Canada
| | - Charmy Patel
- Department of Psychiatry, Queen’s University, Kingston, ON, Canada
| | - Archana Patel
- Department of Psychiatry, Queen’s University, Kingston, ON, Canada
| | - Megan Yang
- Department of Psychiatry, Queen’s University, Kingston, ON, Canada
| | - Mohsen Omrani
- Department of Psychiatry, Queen’s University, Kingston, ON, Canada
- OPTT Inc., Toronto, ON, Canada
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12
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Børtveit L, Dechsling A, Sütterlin S, Nordgreen T, Nordahl-Hansen A. Guided Internet-Delivered Treatment for Depression: Scoping Review. JMIR Ment Health 2022; 9:e37342. [PMID: 36194467 PMCID: PMC9579933 DOI: 10.2196/37342] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 07/01/2022] [Accepted: 08/03/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Studies on guided internet-delivered treatment have demonstrated promising results for patients with depressive disorder. OBJECTIVE The aim of this study was to provide an overview of this research area and identify potential gaps in the research. METHODS In this scoping review, web-based databases were used to identify research papers published between 2010 and 2022 where guided internet-delivered treatment was administered to participants with depressive disorders, a standardized rating scale of depressive symptoms was used as the primary outcome measure, and the treatment was compared with a control condition. RESULTS A total of 111 studies were included, and an overview of the studies was provided. Several gaps in the research were identified regarding the design of the studies, treatments delivered, participant representation, and treatment completion. CONCLUSIONS This review provides a comprehensive overview of the research area, and several research gaps were identified. The use of other designs and active control conditions is recommended. Future studies should provide access to treatment manuals, and more replications should be conducted. Researchers should aim to include underrepresented populations and provide reports of comorbidities. Definitions of adequate dosage, reports of completion rates, and reasons for treatment dropout are recommended for future studies.
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Affiliation(s)
- Line Børtveit
- Faculty of Health, Welfare and Organisation, Østfold University College, Halden, Norway.,Faculty of Health Sciences, Department of Behavioral Sciences, Oslo Metropolitan University, Oslo, Norway
| | - Anders Dechsling
- Department of Education, ICT, and Learning, Østfold University College, Halden, Norway
| | - Stefan Sütterlin
- Faculty of Health, Welfare and Organisation, Østfold University College, Halden, Norway.,Faculty of Computer Science, Albstadt-Sigmaringen University, Sigmaringen, Germany
| | - Tine Nordgreen
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway.,Departement of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Anders Nordahl-Hansen
- Department of Education, ICT, and Learning, Østfold University College, Halden, Norway
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13
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Knowledge Management-Based Mental Health Service Model: Sustainable Application during College Students’ Education. SUSTAINABILITY 2022. [DOI: 10.3390/su14159008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
In order to meet the dynamic mental health needs of college students, it is important to promote quality mental health services and to improve the development view of college students’ mental health. This paper uses a knowledge management method to construct college students’ developmental mental health service model. The model is informed by knowledge management, which comprehensively considers service-related components, namely, resources, content, approach, process, personnel, and objects. Furthermore, knowledge management constructs the system structure of the model and expands the research ideas and contents of the service resource pool. Moreover, knowledge management supports the platform, core technology system, and service process in the model. Finally, using Suzhou University as an example, this study examines the implementation and application of the service model to test the effectiveness of the knowledge management method. Thus, this study provides theoretical and methodological support for the construction, implementation, and application of a sustainable mental health service model for college students.
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14
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Bossarte RM, Kessler RC, Nierenberg AA, Chattopadhyay A, Cuijpers P, Enrique A, Foxworth PM, Gildea SM, Belnap BH, Haut MW, Law KB, Lewis WD, Liu H, Luedtke AR, Pigeon WR, Rhodes LA, Richards D, Rollman BL, Sampson NA, Stokes CM, Torous J, Webb TD, Zubizarreta JR. The Appalachia Mind Health Initiative (AMHI): a pragmatic randomized clinical trial of adjunctive internet-based cognitive behavior therapy for treating major depressive disorder among primary care patients. Trials 2022; 23:520. [PMID: 35725644 PMCID: PMC9207842 DOI: 10.1186/s13063-022-06438-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Accepted: 05/29/2022] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Major depressive disorder (MDD) is a leading cause of disease morbidity. Combined treatment with antidepressant medication (ADM) plus psychotherapy yields a much higher MDD remission rate than ADM only. But 77% of US MDD patients are nonetheless treated with ADM only despite strong patient preferences for psychotherapy. This mismatch is due at least in part to a combination of cost considerations and limited availability of psychotherapists, although stigma and reluctance of PCPs to refer patients for psychotherapy are also involved. Internet-based cognitive behaviorial therapy (i-CBT) addresses all of these problems. METHODS Enrolled patients (n = 3360) will be those who are beginning ADM-only treatment of MDD in primary care facilities throughout West Virginia, one of the poorest and most rural states in the country. Participating treatment providers and study staff at West Virginia University School of Medicine (WVU) will recruit patients and, after obtaining informed consent, administer a baseline self-report questionnaire (SRQ) and then randomize patients to 1 of 3 treatment arms with equal allocation: ADM only, ADM + self-guided i-CBT, and ADM + guided i-CBT. Follow-up SRQs will be administered 2, 4, 8, 13, 16, 26, 39, and 52 weeks after randomization. The trial has two primary objectives: to evaluate aggregate comparative treatment effects across the 3 arms and to estimate heterogeneity of treatment effects (HTE). The primary outcome will be episode remission based on a modified version of the patient-centered Remission from Depression Questionnaire (RDQ). The sample was powered to detect predictors of HTE that would increase the proportional remission rate by 20% by optimally assigning individuals as opposed to randomly assigning them into three treatment groups of equal size. Aggregate comparative treatment effects will be estimated using intent-to-treat analysis methods. Cumulative inverse probability weights will be used to deal with loss to follow-up. A wide range of self-report predictors of MDD heterogeneity of treatment effects based on previous studies will be included in the baseline SRQ. A state-of-the-art ensemble machine learning method will be used to estimate HTE. DISCUSSION The study is innovative in using a rich baseline assessment and in having a sample large enough to carry out a well-powered analysis of heterogeneity of treatment effects. We anticipate finding that self-guided and guided i-CBT will both improve outcomes compared to ADM only. We also anticipate finding that the comparative advantages of adding i-CBT to ADM will vary significantly across patients. We hope to develop a stable individualized treatment rule that will allow patients and treatment providers to improve aggregate treatment outcomes by deciding collaboratively when ADM treatment should be augmented with i-CBT. TRIAL REGISTRATION ClinicalTrials.gov NCT04120285 . Registered on October 19, 2019.
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Affiliation(s)
- Robert M Bossarte
- Department of Psychiatry and Behavioral Neuroscience, University of South Florida, 3515 E. Fletcher Ave, FL, 33613, Tampa, USA.
| | - Ronald C Kessler
- Department of Healthcare Policy, Harvard Medical School, Boston, MA, USA
| | - Andrew A Nierenberg
- The Dauten Family Center for Bipolar Treatment Innovation, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | | | - Pim Cuijpers
- Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Van der Boechorststraat 7-9, Amsterdam, 1081 BT, The Netherlands
| | - Angel Enrique
- E-mental Health Research Group, School of Psychology, University of Dublin, Trinity College Dublin and Clinical Research & Innovation, SilverCloud Health, Dublin, Ireland
| | | | - Sarah M Gildea
- Department of Health Care Policy, Harvard Medical School, Boston, MA, USA
| | - Bea Herbeck Belnap
- Center for Behavioral Health, Media, and Technology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Marc W Haut
- Department of Behavioral Medicine and Psychiatry, West Virginia University School of Medicine, Morgantown, WV, USA.,Department of Neurology, West Virginia University School of Medicine, Morgantown, WV, USA.,Department of Radiology, West Virginia University School of Medicine, Morgantown, WV, USA
| | - Kari B Law
- Department of Behavioral Medicine and Psychiatry, West Virginia University School of Medicine, Morgantown, WV, USA
| | - William D Lewis
- Department of Family Medicine, West Virginia University School of Medicine and West Virginia University Clinical and Translational Science Institute, Morgantown, WV, USA
| | - Howard Liu
- Department of Health Care Policy, Harvard Medical School, Boston, MA, USA.,Center of Excellence for Suicide Prevention, Canandaigua VA Medical Center, Canandaigua, NY, USA
| | - Alexander R Luedtke
- Department of Statistics, University of Washington and Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Wilfred R Pigeon
- Center of Excellence for Suicide Prevention, Canandaigua VA Medical Center, Canandaigua, NY, USA.,Department of Psychiatry, University of Rochester Medical Center, Rochester, NY, 14642, USA
| | - Larry A Rhodes
- Department of Pediatrics, West Virginia University School of Medicine and West Virginia University Institute for Community and Rural Health, Morgantown, WV, USA
| | - Derek Richards
- E-mental Health Research Group, School of Psychology, University of Dublin, Trinity College Dublin and Clinical Research & Innovation, SilverCloud Health, Dublin, Ireland
| | - Bruce L Rollman
- Center for Behavioral Health, Media, and Technology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Nancy A Sampson
- Department of Health Care Policy, Harvard Medical School, Boston, MA, USA
| | - Cara M Stokes
- Department of Behavioral Medicine and Psychiatry, West Virginia University School of Medicine, Morgantown, WV, USA.,West Virginia University Injury Control Research Center, Morgantown, WV, USA
| | - John Torous
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Tyler D Webb
- Department of Psychiatry and Behavioral Neuroscience, University of South Florida, 3515 E. Fletcher Ave, FL, 33613, Tampa, USA
| | - Jose R Zubizarreta
- Department of Health Care Policy, Harvard Medical School, Boston, MA, USA.,Department of Statistics, Harvard University, Cambridge, MA, USA.,Department of Biostatistics, Harvard University, Cambridge, MA, USA
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15
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Benjet C, Kessler RC, Kazdin AE, Cuijpers P, Albor Y, Carrasco Tapias N, Contreras-Ibáñez CC, Durán González MS, Gildea SM, González N, Guerrero López JB, Luedtke A, Medina-Mora ME, Palacios J, Richards D, Salamanca-Sanabria A, Sampson NA. Study protocol for pragmatic trials of Internet-delivered guided and unguided cognitive behavior therapy for treating depression and anxiety in university students of two Latin American countries: the Yo Puedo Sentirme Bien study. Trials 2022; 23:450. [PMID: 35658942 PMCID: PMC9164185 DOI: 10.1186/s13063-022-06255-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 03/29/2022] [Indexed: 12/01/2022] Open
Abstract
BACKGROUND Major depressive disorder (MDD) and generalized anxiety disorder (GAD) are highly prevalent among university students and predict impaired college performance and later life role functioning. Yet most students do not receive treatment, especially in low-middle-income countries (LMICs). We aim to evaluate the effects of expanding treatment using scalable and inexpensive Internet-delivered transdiagnostic cognitive behavioral therapy (iCBT) among college students with symptoms of MDD and/or GAD in two LMICs in Latin America (Colombia and Mexico) and to investigate the feasibility of creating a precision treatment rule (PTR) to predict for whom iCBT is most effective. METHODS We will first carry out a multi-site randomized pragmatic clinical trial (N = 1500) of students seeking treatment at student mental health clinics in participating universities or responding to an email offering services. Students on wait lists for clinic services will be randomized to unguided iCBT (33%), guided iCBT (33%), and treatment as usual (TAU) (33%). iCBT will be provided immediately whereas TAU will be whenever a clinic appointment is available. Short-term aggregate effects will be assessed at 90 days and longer-term effects 12 months after randomization. We will use ensemble machine learning to predict heterogeneity of treatment effects of unguided versus guided iCBT versus TAU and develop a precision treatment rule (PTR) to optimize individual student outcome. We will then conduct a second and third trial with separate samples (n = 500 per arm), but with unequal allocation across two arms: 25% will be assigned to the treatment determined to yield optimal outcomes based on the PTR developed in the first trial (PTR for optimal short-term outcomes for Trial 2 and 12-month outcomes for Trial 3), whereas the remaining 75% will be assigned with equal allocation across all three treatment arms. DISCUSSION By collecting comprehensive baseline characteristics to evaluate heterogeneity of treatment effects, we will provide valuable and innovative information to optimize treatment effects and guide university mental health treatment planning. Such an effort could have enormous public-health implications for the region by increasing the reach of treatment, decreasing unmet need and clinic wait times, and serving as a model of evidence-based intervention planning and implementation. TRIAL STATUS IRB Approval of Protocol Version 1.0; June 3, 2020. Recruitment began on March 1, 2021. Recruitment is tentatively scheduled to be completed on May 30, 2024. TRIAL REGISTRATION ClinicalTrials.gov NCT04780542 . First submission date: February 28, 2021.
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Affiliation(s)
- Corina Benjet
- Center for Global Mental Health, National Institute of Psychiatry Ramón de la Fuente Muñiz, Mexico City, Mexico.
| | - Ronald C Kessler
- Department of Health care Policy, Harvard Medical School, Boston, MA, USA
| | | | - Pim Cuijpers
- Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Yesica Albor
- Center for Global Mental Health, National Institute of Psychiatry Ramón de la Fuente Muñiz, Mexico City, Mexico
| | | | | | | | - Sarah M Gildea
- Department of Health care Policy, Harvard Medical School, Boston, MA, USA
| | - Noé González
- Center for Global Mental Health, National Institute of Psychiatry Ramón de la Fuente Muñiz and School of Psychology, UNAM, Mexico City, Mexico
| | | | - Alex Luedtke
- Department of Statistics, University of Washington, Seattle, WA, USA
| | - Maria Elena Medina-Mora
- Center for Global Mental Health, National Institute of Psychiatry Ramón de la Fuente Muñiz and School of Psychology, UNAM, Mexico City, Mexico
| | - Jorge Palacios
- SilverCloud Health, Dublin, Ireland
- E-mental Health Group, School of Psychology, University of Dublin, Trinity College Dublin, Dublin, Ireland
| | - Derek Richards
- SilverCloud Health, Dublin, Ireland
- E-mental Health Group, School of Psychology, University of Dublin, Trinity College Dublin, Dublin, Ireland
| | - Alicia Salamanca-Sanabria
- Future Health Technologies Programme, Campus for Research Excellence and Technological Enterprise, Singapore-ETH Centre, Singapore, Singapore
| | - Nancy A Sampson
- Department of Health care Policy, Harvard Medical School, Boston, MA, USA
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16
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Leong QY, Sridhar S, Blasiak A, Tadeo X, Yeo G, Remus A, Ho D. Characteristics of Mobile Health Platforms for Depression and Anxiety: Content Analysis Through a Systematic Review of the Literature and Systematic Search of Two App Stores. J Med Internet Res 2022; 24:e27388. [PMID: 35119370 PMCID: PMC8857696 DOI: 10.2196/27388] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2021] [Revised: 06/05/2021] [Accepted: 11/08/2021] [Indexed: 12/20/2022] Open
Abstract
Background Mobile health (mHealth) platforms show promise in the management of mental health conditions such as anxiety and depression. This has resulted in an abundance of mHealth platforms available for research or commercial use. Objective The objective of this review is to characterize the current state of mHealth platforms designed for anxiety or depression that are available for research, commercial use, or both. Methods A systematic review was conducted using a two-pronged approach: searching relevant literature with prespecified search terms to identify platforms in published research and simultaneously searching 2 major app stores—Google Play Store and Apple App Store—to identify commercially available platforms. Key characteristics of the mHealth platforms were synthesized, such as platform name, targeted condition, targeted group, purpose, technology type, intervention type, commercial availability, and regulatory information. Results The literature and app store searches yielded 169 and 179 mHealth platforms, respectively. Most platforms developed for research purposes were designed for depression (116/169, 68.6%), whereas the app store search reported a higher number of platforms developed for anxiety (Android: 58/179, 32.4%; iOS: 27/179, 15.1%). The most common purpose of platforms in both searches was treatment (literature search: 122/169, 72.2%; app store search: 129/179, 72.1%). With regard to the types of intervention, cognitive behavioral therapy and referral to care or counseling emerged as the most popular options offered by the platforms identified in the literature and app store searches, respectively. Most platforms from both searches did not have a specific target age group. In addition, most platforms found in app stores lacked clinical and real-world evidence, and a small number of platforms found in the published research were available commercially. Conclusions A considerable number of mHealth platforms designed for anxiety or depression are available for research, commercial use, or both. The characteristics of these mHealth platforms greatly vary. Future efforts should focus on assessing the quality—utility, safety, and effectiveness—of the existing platforms and providing developers, from both commercial and research sectors, a reporting guideline for their platform description and a regulatory framework to facilitate the development, validation, and deployment of effective mHealth platforms.
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Affiliation(s)
- Qiao Ying Leong
- N.1 Institute for Health, National University of Singapore, Singapore, Singapore.,The Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Shreya Sridhar
- N.1 Institute for Health, National University of Singapore, Singapore, Singapore
| | - Agata Blasiak
- N.1 Institute for Health, National University of Singapore, Singapore, Singapore.,The Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.,Department of Biomedical Engineering, NUS Engineering, National University of Singapore, Singapore, Singapore.,Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Xavier Tadeo
- N.1 Institute for Health, National University of Singapore, Singapore, Singapore.,The Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - GeckHong Yeo
- N.1 Institute for Health, National University of Singapore, Singapore, Singapore.,The Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Alexandria Remus
- N.1 Institute for Health, National University of Singapore, Singapore, Singapore.,The Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.,Department of Biomedical Engineering, NUS Engineering, National University of Singapore, Singapore, Singapore
| | - Dean Ho
- N.1 Institute for Health, National University of Singapore, Singapore, Singapore.,The Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.,Department of Biomedical Engineering, NUS Engineering, National University of Singapore, Singapore, Singapore.,Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.,Health District @ Queenstown, Singapore, Singapore
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17
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Krifa I, Hallez Q, van Zyl LE, Braham A, Sahli J, Ben Nasr S, Shankland R. Effectiveness of an online positive psychology intervention among Tunisian healthcare students on mental health and study engagement during the Covid-19 pandemic. Appl Psychol Health Well Being 2021; 14:1228-1254. [PMID: 34939332 DOI: 10.1111/aphw.12332] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2021] [Accepted: 12/09/2021] [Indexed: 11/30/2022]
Affiliation(s)
- Imen Krifa
- Mental illness Epidemiology Research Laboratory, University of Sousse, Sousse, Tunisia.,Higher School of Sciences and Techniques of Health of Sousse, Department of Psychiatry LR12ES04, Farhat Hached University Hospital, Sousse, Tunisia
| | - Quentin Hallez
- Laboratory DIPHE, Department of Psychology, Education and Vulnerabilities, Université Lumière Lyon 2, Lyon, France
| | - Llewellyn Ellardus van Zyl
- Department of Industrial Engineering and Innovation Sciences, University of Eindhoven, Eindhoven, Netherlands.,Optentia Research Unit, North-West University, South Africa.,Department of Human Resource Management, University of Twente, the Netherlands.,Department of Social Psychology, Goethe University, Frankfurt am Main, Germany
| | - Amel Braham
- Mental illness Epidemiology Research Laboratory, University of Sousse, Sousse, Tunisia.,Faculty of Medicine of Sousse, Department of Psychiatry LR12ES04, Farhat Hached University Hospital, Sousse, Tunisia
| | - Jihene Sahli
- Laboratory of Research Quality of Care and Management of Maternal Health Services, Faculty of Medicine of Sousse, University of Sousse, Sousse, Tunisia
| | - Selma Ben Nasr
- Mental illness Epidemiology Research Laboratory, University of Sousse, Sousse, Tunisia.,Faculty of Medicine of Sousse, Department of Psychiatry LR12ES04, Farhat Hached University Hospital, Sousse, Tunisia
| | - Rebecca Shankland
- Laboratory DIPHE, Department of Psychology, Education and Vulnerabilities, Université Lumière Lyon 2, Lyon, France
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18
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Gericke F, Ebert DD, Breet E, Auerbach RP, Bantjes J. A qualitative study of university students' experience of Internet‐based CBT for depression. COUNSELLING & PSYCHOTHERAPY RESEARCH 2021. [DOI: 10.1002/capr.12465] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Affiliation(s)
- Franco Gericke
- Institute for Life Course Health Research Department of Global Health Faculty of Medicine and Health Sciences Stellenbosch University Stellenbosch South Africa
| | - David D. Ebert
- Psychology & Digital Mental Health Care, Department of Sport and Health Sciences Technical University Munich Munich Germany
| | - Elsie Breet
- Institute for Life Course Health Research Department of Global Health Faculty of Medicine and Health Sciences Stellenbosch University Stellenbosch South Africa
| | | | - Jason Bantjes
- Institute for Life Course Health Research Department of Global Health Faculty of Medicine and Health Sciences Stellenbosch University Stellenbosch South Africa
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Wieczorek T, Kołodziejczyk A, Ciułkowicz M, Maciaszek J, Misiak B, Rymaszewska J, Szcześniak D. Class of 2020 in Poland: Students' Mental Health during the COVID-19 Outbreak in an Academic Setting. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18062884. [PMID: 33799848 PMCID: PMC7999098 DOI: 10.3390/ijerph18062884] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Revised: 03/04/2021] [Accepted: 03/09/2021] [Indexed: 02/06/2023]
Abstract
The COVID-19 pandemic had led universities to introduce lockdowns, which has led to significant shifts in students’ lives. Classes were moved online, students had to leave dorms and move; they had to forgo regular meetings with their peers. Subsequently, a vital demand for examining students’ mental health emerged. The data were collected at a time when universities in Poland were under lockdowns. Participants represented students of many different fields of study. The General Health Questionnaire (GHQ-28) was used. Student’s subjective evaluation of online learning and their adaptation to academic life shifts were reviewed. A total of 1123 participants took part in this study. Relationship analysis included tests, such as U Mann–Whitney, appropriate for specific variables. The impact of variables connected with the pandemic on the GHQ scores was tested using multivariate regression analysis. The results were considered significant at a p-value set at 0.05. Overall, 76.96% of the participants manifested psychopathological symptoms measured by the GHQ. Four demographical variables were possibly associated with the GHQ scores: female sex, living in a big city, necessity to move back home, and being in a relationship. Negative correlations between subjective evaluation of variables concerning e-learning, such as its efficiency or quality, and the GHQ scores were found. Some variables were found to be potential protective factors, whereas others could have contributed to worsened mental health. The study provides data on students’ worsened mental health due to the COVID-19 pandemic and the shifts in academic life it caused. Therefore, recommendations for early psychosocial interventions among students are strongly advised.
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20
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Hadler NL, Bu P, Winkler A, Alexander AW. College Student Perspectives of Telemental Health: a Review of the Recent Literature. Curr Psychiatry Rep 2021; 23:6. [PMID: 33404975 PMCID: PMC7785477 DOI: 10.1007/s11920-020-01215-7] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/09/2020] [Indexed: 12/16/2022]
Abstract
PURPOSE OF REVIEW We review the recent literature regarding college student experiences with and attitudes toward telemental health (TMH). We examine their perspectives of the advantages and drawbacks to this form of mental healthcare and their willingness to engage in TMH. RECENT FINDINGS College students view TMH as convenient, accessible, easy to use, and helpful. TMH helps to overcome the barrier of stigma associated with seeking mental health treatment. Despite positive reviews, many students find a lack of customization or connection to the provider to be drawbacks to some forms of TMH. Willingness to engage in TMH varies based on prior experience with mental health treatment, ethnicity, and severity of symptoms. The recent literature highlights the potential for TMH to play a key role in mental health services for college students. It also highlights some of its shortcomings, which are indicative of the continued need for in-person services. Future studies should continue to track college student perspectives toward and utilization of TMH.
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Affiliation(s)
- Nicole L Hadler
- University of Michigan Medical School, 1301 Catherine Street, Ann Arbor, MI, 48109, USA.
| | - Paula Bu
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Aaron Winkler
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Amy W Alexander
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
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21
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Harrington KD, Eres R, Lim MH. The Web-Based Uprise Program for Mental Health in Australian University Students: Protocol for a Pilot Randomized Controlled Trial. JMIR Res Protoc 2020; 9:e21307. [PMID: 33275115 PMCID: PMC7748961 DOI: 10.2196/21307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Revised: 09/04/2020] [Accepted: 09/08/2020] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND University students are vulnerable to poor mental health, psychological distress, and loneliness relative to nonuniversity student peers. However, the rate of seeking mental health treatment among university students is low. Web-based psychological interventions may provide an opportunity for supporting vulnerable university students who are unlikely to otherwise seek support. OBJECTIVE The aim of this study is to examine the feasibility, acceptability, safety, and efficacy of an existing web-based transdiagnostic cognitive behavioral therapy (CBT) mental health program for use among Australian university students. METHODS This is a pilot randomized controlled trial comparing a self-directed web-based CBT mental health program with a waitlist control. The self-directed modules will be augmented with optional webchat or telephone coaching with a therapist. The recruitment target is 70 university students who do not present with a clinical mental health disorder. Allocation will be made in a 1:1 ratio and will occur after the initial baseline assessment. Assessments will be completed at baseline, upon completion of a 4-week waitlist (waitlist group only), upon completion of the program, and at 3 months after completion of the program. RESULTS The trial was funded in June 2018, and the protocol was approved by the Swinburne University Human Research Ethics Committee in September 2018. Recruitment commenced in October 2018, with the first participant allocated in November 2018. A total of 70 participants were recruited to the trial. The trial recruitment ceased in June 2019, and data collection was finalized in December 2019. We expect the final data analysis to be completed by November 2020 and results to be published early in 2021. The primary outcomes are feasibility, acceptability, safety, and symptoms of depression, anxiety, and stress. The secondary outcomes are psychological wellbeing, quality of life, loneliness, self-reported physical health status, emotion regulation, and cognitive and mindfulness processes. CONCLUSIONS The acceptability, feasibility, safety, and efficacy of a web-based mental health program in university students will be evaluated. Web-based mental health programs offer the opportunity to engage university students who may be reluctant to seek support through traditional face-to-face mental health services, and the transdiagnostic approach of the program has the potential to address the breadth of mental health concerns of university students. TRIAL REGISTRATION Australian New Zealand Clinical Trial Registry ACTRN12618001604291; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?ACTRN=12618001604291. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/21307.
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Affiliation(s)
- Karra D Harrington
- Iverson Health Innovation Research Institute, Swinburne University of Technology, Hawthorn, Australia.,Center for Healthy Aging, The Pennsylvania State University, University Park, PA, United States
| | - Robert Eres
- Iverson Health Innovation Research Institute, Swinburne University of Technology, Hawthorn, Australia.,Centre for Mental Health, Swinburne University of Technology, Hawthorn, Australia
| | - Michelle H Lim
- Iverson Health Innovation Research Institute, Swinburne University of Technology, Hawthorn, Australia.,Centre for Mental Health, Swinburne University of Technology, Hawthorn, Australia
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22
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Attridge MD, Morfitt RC, Roseborough DJ, Jones ER. Internet-Based Cognitive-Behavioral Therapy for College Students With Anxiety, Depression, Social Anxiety, or Insomnia: Four Single-Group Longitudinal Studies of Archival Commercial Data and Replication of Employee User Study. JMIR Form Res 2020; 4:e17712. [PMID: 32706662 PMCID: PMC7413280 DOI: 10.2196/17712] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Revised: 05/29/2020] [Accepted: 06/14/2020] [Indexed: 01/08/2023] Open
Abstract
Background The growing behavioral health needs of college students have resulted in counseling centers reporting difficulties in meeting student demand. Objective This study aims to test the real-world voluntary use by college students of 4 digital, self-directed mental health modules based on a cognitive behavioral therapy clinical model. The findings were also compared with those of employee users. Methods Archival operational data from Learn to Live were extracted for student users at 4 colleges and universities in the Midwest region of the United States (N=951). The inclusion criteria were having clinical symptoms at established levels of moderate or higher severity and the use of 2 or more of the 8 lessons of a program within a 6-month period. Unique users in each program included 347 for depression; 325 for stress, anxiety, and worry; 203 for social anxiety; and 76 for insomnia. Paired t tests (two-tailed) compared the average level of change over time on a standardized measure of clinical symptoms appropriate to each program. Cohen d statistical effect sizes were calculated for each program. Potential moderator factors (age, gender, preliminary comprehensive assessment, number of lessons, duration, live coach support, and live teammate support) were tested together in repeated measures analysis of variance models with covariates in the full sample. Follow-up survey data (n=136) were also collected to explore user satisfaction and outcomes. Select data from another study of the same 4 programs by employee users meeting the same criteria (N=707) were examined for comparison. Results The percentage of users who improved to a clinical status of no longer being at risk after program use was as follows: stress, anxiety, and worry program (149/325, 45.8%); insomnia program (33/76, 43.4%), depression program (124/347, 35.7%); and social anxiety program (45/203, 22.2%). Significant improvements (all P<.001) over time were found in the mean scores for the clinical measures for each program: stress, anxiety, and worry (t324=16.21; d=1.25); insomnia (t75=6.85; d=1.10); depression (t346=12.71; d=0.91); and social anxiety (t202=8.33; d=0.80). Tests of the moderating factors across programs indicated that greater improvement was strongly associated with the use of more lessons and it also differed by program, by gender (males demonstrated more improvement than females), and by the use of live support (particularly coaching). Analyses of survey data found high satisfaction, improved academic outcomes, and successful integration into the university counseling ecosystem. The operational profile and outcomes of the college students were also similar to those of employee users of the same programs from our other study of employee users. Thus, this study provides a replication. Conclusions Self-directed internet-based cognitive behavioral therapy mental health modules are promising as a supplement to traditional in-person counseling services provided by college counseling centers.
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23
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Lo B, Shi J, Hollenberg E, Abi-Jaoudé A, Johnson A, Wiljer D. Surveying the Role of Analytics in Evaluating Digital Mental Health Interventions for Transition-Aged Youth: Scoping Review. JMIR Ment Health 2020; 7:e15942. [PMID: 32348261 PMCID: PMC7381002 DOI: 10.2196/15942] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2019] [Revised: 11/20/2019] [Accepted: 02/10/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Consumer-facing digital health interventions provide a promising avenue to bridge gaps in mental health care delivery. To evaluate these interventions, understanding how the target population uses a solution is critical to the overall validity and reliability of the evaluation. As a result, usage data (analytics) can provide a proxy for evaluating the engagement of a solution. However, there is paucity of guidance on how usage data or analytics should be used to assess and evaluate digital mental health interventions. OBJECTIVE This review aimed to examine how usage data are collected and analyzed in evaluations of mental health mobile apps for transition-aged youth (15-29 years). METHODS A scoping review was conducted using the Arksey and O'Malley framework. A systematic search was conducted on 5 journal databases using keywords related to usage and engagement, mental health apps, and evaluation. A total of 1784 papers from 2008 to 2019 were identified and screened to ensure that they included analytics and evaluated a mental health app for transition-aged youth. After full-text screening, 49 papers were included in the analysis. RESULTS Of the 49 papers included in the analysis, 40 unique digital mental health innovations were evaluated, and about 80% (39/49) of the papers were published over the past 6 years. About 80% involved a randomized controlled trial and evaluated apps with information delivery features. There were heterogeneous findings in the concept that analytics was ascribed to, with the top 3 being engagement, adherence, and acceptability. There was also a significant spread in the number of metrics collected by each study, with 35% (17/49) of the papers collecting only 1 metric and 29% (14/49) collecting 4 or more analytic metrics. The number of modules completed, the session duration, and the number of log ins were the most common usage metrics collected. CONCLUSIONS This review of current literature identified significant variability and heterogeneity in using analytics to evaluate digital mental health interventions for transition-aged youth. The large proportion of publications from the last 6 years suggests that user analytics is increasingly being integrated into the evaluation of these apps. Numerous gaps related to selecting appropriate and relevant metrics and defining successful or high levels of engagement have been identified for future exploration. Although long-term use or adoption is an important precursor to realizing the expected benefits of an app, few studies have examined this issue. Researchers would benefit from clarification and guidance on how to measure and analyze app usage in terms of evaluating digital mental health interventions for transition-aged youth. Given the established role of adoption in the success of health information technologies, understanding how to abstract and analyze user adoption for consumer digital mental health apps is also an emerging priority.
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Affiliation(s)
- Brian Lo
- Office of Education, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Information Management Group, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada
| | - Jenny Shi
- Office of Education, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Elisa Hollenberg
- Office of Education, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Alexxa Abi-Jaoudé
- Office of Education, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Andrew Johnson
- Office of Education, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - David Wiljer
- Office of Education, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.,Education, Technology and Innovation, University Health Network, Toronto, ON, Canada.,Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
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24
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Zhou L, Parmanto B. Development and Validation of a Comprehensive Well-Being Scale for People in the University Environment (Pitt Wellness Scale) Using a Crowdsourcing Approach: Cross-Sectional Study. J Med Internet Res 2020; 22:e15075. [PMID: 32347801 PMCID: PMC7221649 DOI: 10.2196/15075] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2019] [Revised: 02/23/2020] [Accepted: 03/19/2020] [Indexed: 01/23/2023] Open
Abstract
Background Well-being has multiple domains, and these domains are unique to the population being examined. Therefore, to precisely assess the well-being of a population, a scale specifically designed for that population is needed. Objective The goal of this study was to design and validate a comprehensive well-being scale for people in a university environment, including students, faculty, and staff. Methods A crowdsourcing approach was used to determine relevant domains for the comprehensive well-being scale in this population and identify specific questions to include in each domain. A web-based questionnaire (Q1) was used to collect opinions from a group of university students, faculty, and staff about the domains and subdomains of the scale. A draft of a new well-being scale (Q2) was created in response to the information collected via Q1, and a second group of study participants was invited to evaluate the relevance and clarity of each statement. A newly created well-being scale (Q3) was then used by a third group of university students, faculty, and staff. A psychometric analysis was performed on the data collected via Q3 to determine the validity and reliability of the well-being scale. Results In the first step, a group of 518 university community members (students, faculty, and staff) indicated the domains and subdomains that they desired to have in a comprehensive well-being scale. In the second step, a second group of 167 students, faculty, and staff evaluated the relevance and clarity of the proposed statements in each domain. In the third step, a third group of 546 students, faculty, and staff provided their responses to the new well-being scale (Pitt Wellness Scale). The psychometric analysis indicated that the reliability of the well-being scale was high. Conclusions Using a crowdsourcing approach, we successfully created a comprehensive and highly reliable well-being scale for people in the university environment. Our new Pitt Wellness Scale may be used to measure the well-being of people in the university environment.
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Affiliation(s)
- Leming Zhou
- Department of Health Information Management, University of Pittsburgh, Pittsburgh, PA, United States
| | - Bambang Parmanto
- Department of Health Information Management, University of Pittsburgh, Pittsburgh, PA, United States
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25
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Duffy D, Enrique A, Connell S, Connolly C, Richards D. Internet-Delivered Cognitive Behavior Therapy as a Prequel to Face-To-Face Therapy for Depression and Anxiety: A Naturalistic Observation. Front Psychiatry 2020; 10:902. [PMID: 31998149 PMCID: PMC6962244 DOI: 10.3389/fpsyt.2019.00902] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Accepted: 11/14/2019] [Indexed: 01/16/2023] Open
Abstract
Background: The UK's Improving Access to Psychological Therapies (IAPT) program is a stepped-care model treating individuals with depression and anxiety disorders. Internet-delivered cognitive behavioral therapy (iCBT) is routinely offered to individuals with mild to moderate symptoms, but its applicability to individuals with severe clinical symptoms and requiring a high-intensity intervention is relatively unknown. The current study sought to investigate the potential impacts of using iCBT as a prequel for patients requiring high-intensity treatment (HIT; face-to-face) for depression and anxiety in IAPT. Methods: The study utilized an open study design. One hundred and twenty-four participants who were on a waiting list for high-intensity, face-to-face psychological treatment were offered iCBT. Psychometric data on symptoms of depression, anxiety, and functioning were collected from participants before starting and on finishing iCBT and at the point of service exit. Therapeutic alliance data were collected from patients and clinicians during treatment. Patient pathway data, such as number of treatment sessions and time in treatment, was also collected and incorporated into the analysis. Results: Significant reductions across primary outcome measures of depression and anxiety, as well as improved functioning, were observed from baseline to iCBT treatment exit, and from iCBT exit to service exit. Analysis of the therapeutic alliance data for patients and clinicians illustrated differences in outcome for those who dropped out and those who completed treatment. Discussion: This study illustrates the potential for using iCBT as a prequel to high-intensity therapy for depression and anxiety disorders and is the first of its kind to do so within IAPT stepped care. The results show that iCBT is a valuable option reducing waiting times and enhancing clinical efficiency. The study contributes to the well-established evidence on online psychological treatments worldwide, but further clinical and service development research is necessary to scale these treatments appropriately.
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Affiliation(s)
- Daniel Duffy
- Clinical Research and Innovation, SilverCloud Health, Dublin, Ireland
- E-Mental Health Research Group, School of Psychology, Trinity College, Dublin, Ireland
| | - Angel Enrique
- Clinical Research and Innovation, SilverCloud Health, Dublin, Ireland
- E-Mental Health Research Group, School of Psychology, Trinity College, Dublin, Ireland
| | - Sarah Connell
- Clinical Research and Innovation, SilverCloud Health, Dublin, Ireland
| | - Conor Connolly
- Clinical Research and Innovation, SilverCloud Health, Dublin, Ireland
| | - Derek Richards
- Clinical Research and Innovation, SilverCloud Health, Dublin, Ireland
- E-Mental Health Research Group, School of Psychology, Trinity College, Dublin, Ireland
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26
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Lattie EG, Adkins EC, Winquist N, Stiles-Shields C, Wafford QE, Graham AK. Digital Mental Health Interventions for Depression, Anxiety, and Enhancement of Psychological Well-Being Among College Students: Systematic Review. J Med Internet Res 2019; 21:e12869. [PMID: 31333198 PMCID: PMC6681642 DOI: 10.2196/12869] [Citation(s) in RCA: 260] [Impact Index Per Article: 52.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2018] [Revised: 05/29/2019] [Accepted: 06/14/2019] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND College students are increasingly reporting common mental health problems, such as depression and anxiety, and they frequently encounter barriers to seeking traditional mental health treatments. Digital mental health interventions, such as those delivered via the Web and apps, offer the potential to improve access to mental health treatment. OBJECTIVE This study aimed to review the literature on digital mental health interventions focused on depression, anxiety, and enhancement of psychological well-being among samples of college students to identify the effectiveness, usability, acceptability, uptake, and adoption of such programs. METHODS We conducted a systematic review using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines (registration number CRD42018092800), and the search strategy was conducted by a medical research librarian in the following databases: MEDLINE (Ovid), EMBASE (Elsevier), PsycINFO (EbscoHost), the Cochrane Library (Wiley), and Web of Science (Thomson Reuters) from the date of inception to April 2019. Data were synthesized using a systematic narrative synthesis framework, and formal quality assessments were conducted to address the risk of bias. RESULTS A total of 89 studies met the inclusion criteria. The majority of interventions (71/89, 80%) were delivered via a website, and the most common intervention was internet-based cognitive behavioral therapy (28, 31%). Many programs (33, 37%) featured human support in the form of coaching. The majority of programs were either effective (42, 47%) or partially effective (30, 34%) in producing beneficial changes in the main psychological outcome variables. Approximately half of the studies (45, 51%) did not present any usability or acceptability outcomes, and few studies (4, 4%) examined a broad implementation of digital mental health interventions on college campuses. Quality assessments revealed a moderate-to-severe risk of bias in many of the studies. CONCLUSIONS Results suggest that digital mental health interventions can be effective for improving depression, anxiety, and psychological well-being among college students, but more rigorous studies are needed to ascertain the effective elements of these interventions. Continued research on improving the user experience of, and thus user engagement with, these programs appears vital for the sustainable implementation of digital mental health interventions on college campuses.
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Affiliation(s)
- Emily G Lattie
- Center for Behavioral Intervention Technologies, Northwestern University, Chicago, IL, United States
| | - Elizabeth C Adkins
- Center for Behavioral Intervention Technologies, Northwestern University, Chicago, IL, United States
| | - Nathan Winquist
- Center for Behavioral Intervention Technologies, Northwestern University, Chicago, IL, United States
| | - Colleen Stiles-Shields
- Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, United States
| | - Q Eileen Wafford
- Galter Health Sciences Library and Learning Center, Northwestern University, Chicago, IL, United States
| | - Andrea K Graham
- Center for Behavioral Intervention Technologies, Northwestern University, Chicago, IL, United States
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