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Terhorst Y, Kaiser T, Brakemeier EL, Moshe I, Philippi P, Cuijpers P, Baumeister H, Sander LB. Heterogeneity of Treatment Effects in Internet- and Mobile-Based Interventions for Depression: A Systematic Review and Meta-Analysis. JAMA Netw Open 2024; 7:e2423241. [PMID: 39023887 PMCID: PMC11258589 DOI: 10.1001/jamanetworkopen.2024.23241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Accepted: 05/21/2024] [Indexed: 07/20/2024] Open
Abstract
Importance While the effects of internet- and mobile-based interventions (IMIs) for depression have been extensively studied, no systematic evidence is available regarding the heterogeneity of treatment effects (HTEs), indicating to what extent patient-by-treatment interactions exist and personalized treatment models might be necessary. Objective To investigate the HTEs in IMIs for depression as well as their efficacy and effectiveness. Data Sources A systematic search in Embase, MEDLINE, Central, and PsycINFO for randomized clinical trials and supplementary reference searches was conducted on October 13, 2019, and updated March 25, 2022. The search string included various terms related to digital psychotherapy, depression, and randomized clinical trials. Study Selection Titles, abstracts, and full texts were reviewed by 2 independent researchers. Studies of all populations with at least 1 intervention group receiving an IMI for depression and at least 1 control group were eligible, if they assessed depression severity as a primary outcome and followed a randomized clinical trial (RCT) design. Data Extraction and Synthesis This study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses reporting guidelines. Risk of bias was evaluated using the Cochrane Risk of Bias Tool. HTE was investigated using logarithmic variance ratios (lnVR) and effect sizes using Hedges g. Three-level bayesian meta-regressions were conducted. Main Outcomes and Measures Heterogeneity of treatment effects was the primary outcome of this study; magnitudes of treatment effect sizes were the secondary outcome. Depression severity was measured by different self-report and clinician-rated scales in the included RCTs. Results The systematic review of 102 trials included 19 758 participants (mean [SD] age, 39.9 [10.58] years) with moderate depression severity (mean [SD] in Patient Health Questionnaire-9 score, 12.81 [2.93]). No evidence for HTE in IMIs was found (lnVR = -0.02; 95% credible interval [CrI], -0.07 to 0.03). However, HTE was higher in more severe depression levels (β̂ = 0.04; 95% CrI, 0.01 to 0.07). The effect size of IMI was medium (g = -0.56; 95% CrI, -0.46 to -0.66). An interaction effect between guidance and baseline severity was found (β̂ = -0.24, 95% CrI, -0.03 to -0.46). Conclusions and Relevance In this systematic review and meta-analysis of RCTs, no evidence for increased patient-by-treatment interaction in IMIs among patients with subthreshold to mild depression was found. Guidance did not increase effect sizes in this subgroup. However, the association of baseline severity with HTE and its interaction with guidance indicates a more sensitive, guided, digital precision approach would benefit individuals with more severe symptoms. Future research in this population is needed to explore personalization strategies and fully exploit the potential of IMI.
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Affiliation(s)
- Yannik Terhorst
- Department of Clinical Psychology and Psychotherapy, Institute of Psychology and Education, University Ulm, Ulm, Germany
- Department of Psychology, Ludwig Maximilian University of Munich, Munich, Germany
| | - Tim Kaiser
- Methods and Evaluation/Quality Assurance, Freie Universität Berlin, Berlin, Germany
| | - Eva-Lotta Brakemeier
- Department of Clinical Psychology and Psychotherapy, University Greifswald, Greifswald, Germany
| | - Isaac Moshe
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Paula Philippi
- Department of Clinical Child and Adolescent Psychology and Psychotherapy, Bergische Universität Wuppertal, Wuppertal, Germany
| | - Pim Cuijpers
- Department of Clinical, Neuro-, and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Harald Baumeister
- Department of Clinical Psychology and Psychotherapy, Institute of Psychology and Education, University Ulm, Ulm, Germany
| | - Lasse Bosse Sander
- Medical Psychology and Medical Sociology, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany
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Torous J, Firth J, Goldberg SB. Digital Mental Health's Unstable Dichotomy-Wellness and Health. JAMA Psychiatry 2024; 81:539-540. [PMID: 38630496 DOI: 10.1001/jamapsychiatry.2024.0532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/24/2024]
Abstract
This Viewpoint discusses the unacknowledged risks and harms and unrealized clinical benefits of digital mental wellness and health technologies and offers suggestions for ways to catalyze the next phase of these technologies by focusing on safety, evidence, and engagement.
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Affiliation(s)
- John Torous
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | - Joseph Firth
- Division of Psychology and Mental Health, University of Manchester, Manchester, United Kingdom
| | - Simon B Goldberg
- Department of Counseling Psychology, University of Wisconsin-Madison
- Center for Healthy Minds, University of Wisconsin-Madison
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Solomon M, Handrup CT, Snyder M. Enhancing outpatient anxiety treatment with mobile technology: A quality improvement study. Arch Psychiatr Nurs 2024; 50:83-86. [PMID: 38789238 DOI: 10.1016/j.apnu.2024.03.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 03/10/2024] [Accepted: 03/17/2024] [Indexed: 05/26/2024]
Abstract
INTRODUCTION Mobile mental health applications are a novel treatment method with unique qualities and capabilities for enhancing existing psychiatric treatments. Outpatient settings such as Mile Square Health Clinic have identified a need to leverage this new technology into their routine care. BACKGROUND In the U.S., over 40 million people suffer from an anxiety disorder, however, only 1 in 4 responds to pharmacological treatment. Preliminary research indicates mental health apps are acceptable, feasible, and can improve patient outcomes for those with anxiety. METHODS Participants from two different outpatient psychiatric clinics locations with generalized anxiety disorder were identified and recruited by participating nurse practitioners. Participants were instructed on how to download and use IntelliCare by the Project Lead. The Project Lead administered a semi-structured interview to collect qualitative data at three weeks and six weeks follow-up. RESULTS AND CONCLUSIONS Survey responses at three and six weeks showed relevant themes of increased journaling, increased feelings of connectedness, positive associations with gamification, and IntelliCare being most useful for a moderate to severe level of anxiety. RECOMMENDATIONS The results of this QI project demonstrate the clinical utility of incorporating the IntelliCare app into regular outpatient practice. IntelliCare should be used with those with moderate to severe anxiety and journaling features should follow research developments to incorporate best-practice guidelines.
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Affiliation(s)
- Michael Solomon
- College of Nursing, University of Illinois at Chicago, 845 S. Damen, Chicago, IL 60626, United States of America.
| | - Cynthia Taylor Handrup
- College of Nursing, University of Illinois at Chicago, 845 S. Damen, Chicago, IL 60626, United States of America.
| | - Marsha Snyder
- College of Nursing, University of Illinois at Chicago, 845 S. Damen, Chicago, IL 60626, United States of America
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Bernstein EE, Greenberg JL, Weingarden H, Snorrason I, Summers B, Williams J, Quist R, Curtiss J, Harrison O, Wilhelm S. The use of coaching in smartphone app-based cognitive behavioral therapy for body dysmorphic disorder. Internet Interv 2024; 36:100743. [PMID: 38660465 PMCID: PMC11039337 DOI: 10.1016/j.invent.2024.100743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 03/14/2024] [Accepted: 04/17/2024] [Indexed: 04/26/2024] Open
Abstract
Background Body dysmorphic disorder (BDD) is severe and undertreated. Digital mental health could be key to expanding access to evidence-based treatments, such as cognitive behavioral therapy for BDD (CBT-BDD). Coach guidance is posited to be essential for effective uptake of digital interventions. However, little is known about how different patients may use coaching, what patterns correspond to meaningful outcomes, and how to match coaching to patient needs. Methods Participants were 77 adults who received a 12-week guided smartphone CBT-BDD. Bachelor's-level coaches were available via asynchronous messaging. We analyzed the 400 messages sent by users to coaches during treatment. Message content was coded using the efficiency model of support (i.e., usability, engagement, fit, knowledge, and implementation). We aimed to clarify when and for what purposes patients with BDD used coaching, and if we can meaningfully classify patients by these patterns. We then assessed potential baseline predictors of coach usage, and whether distinct patterns relate to clinical outcomes. Results Users on average sent 5.88 messages (SD = 4.51, range 1-20) and received 9.84 (SD = 5.74, range 2-30). Regarding frequency of sending messages, latent profile analysis revealed three profiles, characterized by: (1) peak mid-treatment (16.88 %), (2) bimodal/more communication early and late in treatment (10.39 %), and (3) consistent low/no communication (72.73 %). Regarding content, four profiles emerged, characterized by mostly (1) engagement (51.95 %), (2) fit (15.58 %), (3) knowledge (15.58 %), and (4) miscellaneous/no messages (16.88 %). There was a significant relationship between frequency profile and age, such that the early/late peak group was older than the low communication group, and frequency profile and adherence, driven by the mid-treatment peak group completing more modules than the low contact group. Regarding content, the engagement and knowledge groups began treatment with more severe baseline symptoms than the fit group. Content profile was associated with dropout, suggesting higher dropout rates in the miscellaneous/no contact group and reduced rates in the engagement group. There was no relationship between profile membership and other outcomes. Discussion The majority of participants initiated little contact with their coach and the most common function of communications was to increase engagement. Results suggest that older individuals may prefer or require more support than younger counterparts early in treatment. Additionally, whereas individuals using coaching primarily for engagement may be at lower risk of dropping out, those who do not engage at all may be at elevated risk. Findings can support more personalized, data-driven coaching protocols and more efficient allocation of coaching resources.
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Affiliation(s)
- Emily E. Bernstein
- Massachusetts General Hospital, United States of America
- Harvard Medical School, United Kingdom
| | - Jennifer L. Greenberg
- Massachusetts General Hospital, United States of America
- Harvard Medical School, United Kingdom
| | - Hilary Weingarden
- Massachusetts General Hospital, United States of America
- Harvard Medical School, United Kingdom
| | - Ivar Snorrason
- Massachusetts General Hospital, United States of America
- Harvard Medical School, United Kingdom
| | - Berta Summers
- Massachusetts General Hospital, United States of America
| | | | - Rachel Quist
- Massachusetts General Hospital, United States of America
| | - Joshua Curtiss
- Massachusetts General Hospital, United States of America
- Northeastern University, United States of America
| | | | - Sabine Wilhelm
- Massachusetts General Hospital, United States of America
- Harvard Medical School, United Kingdom
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Magwood O, Saad A, Ranger D, Volpini K, Rukikamirera F, Haridas R, Sayfi S, Alexander J, Tan Y, Pottie K. Mobile apps to reduce depressive symptoms and alcohol use in youth: A systematic review and meta-analysis: A systematic review. CAMPBELL SYSTEMATIC REVIEWS 2024; 20:e1398. [PMID: 38680950 PMCID: PMC11047135 DOI: 10.1002/cl2.1398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 01/17/2024] [Accepted: 03/18/2024] [Indexed: 05/01/2024]
Abstract
Background Among youth, symptoms of depression, anxiety, and alcohol use are associated with considerable illness and disability. Youth face many personal and health system barriers in accessing mental health care. Mobile applications (apps) offer youth potentially accessible, scalable, and anonymous therapy and other support. Recent systematic reviews on apps to reduce mental health symptoms among youth have reported uncertain effectiveness, but analyses based on the type of app-delivered therapy are limited. Objectives We conducted this systematic review with youth co-researchers to ensure that this review addressed the questions that were most important to them. The objective of this review is to synthesize the best available evidence on the effectiveness of mobile apps for the reduction of depressive symptoms (depression, generalized anxiety, psychological distress) and alcohol use among youth. Search Methods We conducted electronic searches of the following bibliographic databases for studies published between January 1, 2008, and July 1, 2022: MEDLINE (via Ovid), Embase (via Ovid), PsycINFO (via Ovid), CINAHL (via EBSCOHost), and CENTRAL (via the Cochrane Library). The search used a combination of indexed terms, free text words, and MeSH headings. We manually screened the references of relevant systematic reviews and included randomized controlled trials (RCTs) for additional eligible studies, and contacted authors for full reports of identified trial registries or protocols. Selection Criteria We included RCTs conducted among youth aged 15-24 years from any setting. We did not exclude populations on the basis of gender, socioeconomic status, geographic location or other personal characteristics. We included studies which assessed the effectiveness of app-delivered mental health support or therapy interventions that targeted the management of depressive disorders and/or alcohol use disorders. We excluded apps that targeted general wellness, apps which focused on prevention of psychological disorders and apps that targeted bipolar disorder, psychosis, post-traumatic stress disorder, attention-deficit hyperactivity disorder, substance use disorders (aside from alcohol), and sleep disorders. Eligible comparisons included usual care, no intervention, wait-list control, alternative or controlled mobile applications. We included studies which reported outcomes on depressive symptoms, anxiety symptoms, alcohol use and psychological distress over any follow-up period. Data Collection and Analysis We standardized the PICO definitions (population, intervention, comparison, and outcome) of each included study and grouped studies by the type of therapy or support offered by the app. Whenever app design and clinical homogeneity allowed, we meta-analyzed outcomes using a random-effects model. Outcome data measured using categorical scales were synthesized using odds ratios. Outcome data measured using continuous scales were synthesized as the standardized mean difference. We assessed the methodological quality of each included study using the Cochrane Risk of Bias 2.0 tool and we assessed certainty of the evidence using the GRADE approach. Main Results From 5280 unique citations, we included 36 RCTs published in 37 reports and conducted in 15 different countries (7984 participants). Among the 36 included trials, we assessed two with an overall low risk of bias, 8 trials with some concern regarding risk of bias, and 26 trials with a high risk of bias. Interventions varied in the type of therapy or supports offered. The most common intervention designs employed mindfulness training, cognitive behavioral therapy (CBT), or a combination of the two (mindfulness + CBT). However, other interventions also included self-monitoring, medication reminders, cognitive bias modification or positive stimulation, dialectical behavioral therapy, gamified health promotion, or social skill building. Mindfulness apps led to short term improvements in depressive symptoms when compared to a withheld control (SMD = -0.36; 95% CI [-0.63, -0.10]; p = 0.007, n = 3 RCTs, GRADE: very low certainty) and when compared to an active control (SMD = -0.27; 95% CI [-0.53, -0.01]; p = 0.04, n = 2 RCTs, GRADE: very low). Apps delivering this type of support also significantly improved symptoms of anxiety when compared to a withheld control (SMD = -0.35; 95% CI [-0.60, -0.09]; p = 0.008, n = 3 RCTs, GRADE: very low) but not when compared to an active control (SMD = -0.24; 95% CI [-0.50, 0.02]; p = 0.07, n = 2 RCTs, GRADE: very low). Mindfulness apps showed improvements in psychological stress that approached statistical significance among participants receiving the mindfulness mobile apps compared to those in the withheld control (SMD = -0.27; 95% CI [-0.56, 0.03]; p = .07, n = 4 RCTs, GRADE: very low). CBT apps also led to short-term improvements in depressive symptoms when compared to a withheld control (SMD = -0.40; 95% CI [-0.80, 0.01]; p = 0.05, n = 2 RCTs, GRADE: very low) and when compared to an active control (SMD = -0.59; 95% CI [-0.98, -0.19]; p = 0.003, n = 2 RCTs, GRADE: very low). CBT-based apps also improved symptoms of anxiety compared to a withheld control (SMD = -0.51; 95% CI [-0.94, -0.09]; p = 0.02, n = 3 RCTs, GRADE: very low) but not when compared to an active control (SMD = -0.26; 95% CI [-1.11, 0.59]; p = 0.55, n = 3 RCTs, GRADE: very low). Apps which combined mindfulness and CBT did not significantly improve symptoms of depression (SMD = -0.20; 95% CI [-0.42, 0.02]; p = 0.07, n = 2 RCTs, GRADE: very low) or anxiety (SMD = -0.21; 95% CI [-0.49, 0.07]; p = 0.14, n = 2 RCTs, GRADE: very low). However, these apps did improve psychological distress (SMD = -0.43; 95% CI [-0.74, -0.12]; p = 0.006, n = 2 RCTs, GRADE: very low). The results of trials on apps to reduce alcohol use were inconsistent. We did not identify any harms associated with the use of apps to manage mental health concerns. All effectiveness results had a very low certainty of evidence rating using the GRADE approach, meaning that apps which deliver therapy or other mental health support may reduce symptoms of depression, anxiety and psychological distress but the evidence is very uncertain. Authors' Conclusions We reviewed evidence from 36 trials conducted among youth. According to our meta-analyses, the evidence is very uncertain about the effect of apps on depression, anxiety, psychological distress, and alcohol use. Very few effects were interpreted to be of clinical importance. Most of the RCTs were small studies focusing on efficacy for youth at risk for depressive symptoms. Larger trials are needed to evaluate effectiveness and allow for further analysis of subgroup differences. Longer trials are also needed to better estimate the clinical importance of these apps over the long term.
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Affiliation(s)
- Olivia Magwood
- Bruyère Research InstituteOttawaOntarioCanada
- Interdisciplinary School of Health Sciences, Faculty of Health SciencesUniversity of OttawaOttawaOntarioCanada
| | - Ammar Saad
- Bruyère Research InstituteOttawaOntarioCanada
- School of Epidemiology and Public HealthUniversity of OttawaOttawaOntarioCanada
| | | | - Kate Volpini
- Department of Family MedicineUniversity of OttawaOttawaOntarioCanada
| | | | - Rinila Haridas
- Bruyère Research InstituteOttawaOntarioCanada
- Faculty of MedicineUniversity of British ColumbiaVancouverBritish ColumbiaCanada
- School of NursingUniversity of British ColumbiaVancouverBritish ColumbiaCanada
| | - Shahab Sayfi
- Bruyère Research InstituteOttawaOntarioCanada
- Department of Biology, Faculty of ScienceUniversity of OttawaOttawaOntarioCanada
| | - Jeremie Alexander
- Bruyère Research InstituteOttawaOntarioCanada
- Department of Biochemistry and Biomedical ScienceMcMaster UniversityHamiltonOntarioCanada
| | - Yvonne Tan
- Bruyère Research InstituteOttawaOntarioCanada
- Department of Biomedical and Molecular Sciences, Faculty of Arts and ScienceQueen's UniversityKingstonOntarioCanada
| | - Kevin Pottie
- Bruyère Research InstituteOttawaOntarioCanada
- Departments of Family Medicine and Epidemiology and BiostatisticsWestern UniversityLondonOntarioCanada
- Department of Family MedicineDalhousie UniversityHalifaxNova ScotiaCanada
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Bisconti N, Odier M, Becker M, Bullock K. Feasibility and Acceptability of a Mobile App-Based TEAM-CBT (Testing Empathy Assessment Methods-Cognitive Behavioral Therapy) Intervention (Feeling Good) for Depression: Secondary Data Analysis. JMIR Ment Health 2024; 11:e52369. [PMID: 38728080 PMCID: PMC11127134 DOI: 10.2196/52369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 12/08/2023] [Accepted: 04/12/2024] [Indexed: 05/12/2024] Open
Abstract
BACKGROUND The Feeling Good App is an automated stand-alone digital mobile mental health tool currently undergoing beta testing with the goal of providing evidence-informed self-help lessons and exercises to help individuals reduce depressive symptoms without guidance from a mental health provider. Users work through intensive basic training (IBT) and ongoing training models that provide education regarding cognitive behavioral therapy principles from a smartphone. OBJECTIVE The key objective of this study was to perform a nonsponsored third-party academic assessment of an industry-generated data set; this data set focused on the safety, feasibility, and accessibility of a commercial automated digital mobile mental health app that was developed to reduce feelings associated with depression. METHODS The Feeling Good App development team created a waitlist cohort crossover design and measured symptoms of depression and anxiety using the Patient Health Questionnaire-9, Generalized Anxiety Disorder-7, and an app-specific measure of negative feelings called the 7 Dimension Emotion Slider (7-DES). The waitlist cohort crossover design divided the participants into 2 groups, where 48.6% (141/290) of the participants were given immediate access to the apps, while 51.4% (149/290) were placed on a 2-week waitlist before being given access to the app. Data collected by the Feeling Good App development team were deidentified and provided to the authors of this paper for analysis through a nonsponsored university data use agreement. All quantitative data were analyzed using SPSS Statistics (version 28.0; IBM Corp). Descriptive statistics were calculated for demographic variables. Feasibility and acceptability were descriptively assessed. All participants included in the quantitative data were given access to the Feeling Good App; this study did not include a control group. RESULTS In terms of safety, there was no statistically significant change in suicidality from preintervention to postintervention time points (t288=0.0; P>.99), and there was a statistically significant decrease in hopelessness from preintervention to postintervention time points (F289=30.16; P<.01). In terms of acceptability, 72.2% (166/230) of the users who started the initial 2-day IBT went on to complete it, while 34.8% (80/230) of the users who started IBT completed the entirety of the apps' 4-week protocol (150/230, 65.22% dropout rate over 4 weeks). CONCLUSIONS This study is the first reported proof-of-concept evaluation of the Feeling Good App in terms of safety, feasibility, and statistical trends within the data set. It demonstrates a feasible and novel approach to industry and academic collaboration in the process of developing a digital mental health technology translated from an existing evidence-informed treatment. The results support the prototype app as safe for a select nonclinical population. The app had acceptable levels of engagement and dropouts throughout the intervention. Those who stay engaged showed reductions in symptom severity of depression warranting further investigation of the app's efficacy.
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Affiliation(s)
| | - Mackenzie Odier
- PGSP-Stanford PsyD. Consortium, Palo Alto, CA, United States
| | - Matthew Becker
- PGSP-Stanford PsyD. Consortium, Palo Alto, CA, United States
| | - Kim Bullock
- Stanford School of Medicine Department of Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, CA, United States
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Pruessner L, Timm C, Barnow S, Rubel JA, Lalk C, Hartmann S. Effectiveness of a Web-Based Cognitive Behavioral Self-Help Intervention for Binge Eating Disorder: A Randomized Clinical Trial. JAMA Netw Open 2024; 7:e2411127. [PMID: 38753330 PMCID: PMC11099688 DOI: 10.1001/jamanetworkopen.2024.11127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Accepted: 03/07/2024] [Indexed: 05/19/2024] Open
Abstract
Importance Binge eating disorder (BED) is one of the most frequent eating pathologies and imposes substantial emotional and physical distress, yet insufficient health care resources limit access to specialized treatment. Web-based self-help interventions emerge as a promising solution, offering more accessible care. Objective To examine the effectiveness of a web-based cognitive behavioral self-help intervention for individuals with BED. Design, Setting, and Participants This 2-arm, parallel-group randomized clinical trial conducted from January 15, 2021, to August 3, 2022, in Germany and other German-speaking countries enrolled patients aged 18 to 65 years who met the diagnostic criteria for BED (according to the Diagnostic and Statistical Manual of Mental Disorders [Fifth Edition]). Data analysis occurred between January 27 and September 4, 2023, following our statistical analysis plan. Interventions Participants were randomized to a web-based self-help intervention or a waiting-list control condition. Main Outcomes and Measures The primary outcome was a change in objective binge eating episodes from baseline to after treatment. Secondary outcomes included global eating pathology, clinical impairment, work capacity, well-being, comorbid psychopathology, self-esteem, and emotion regulation. Results A total of 1602 patients were screened, of whom 154 (mean [SD] age, 35.93 [10.59] years; 148 female [96.10%]) fulfilled the criteria for BED and were randomized (77 each to the intervention and control groups). The web-based intervention led to significant improvements in binge eating episodes (Cohen d, -0.79 [95% CI, -1.17 to -0.42]; P < .001), global eating psychopathology (Cohen d, -0.71 [95% CI, -1.07 to -0.35]; P < .001), weekly binge eating (Cohen d, -0.49 [95% CI, -0.74 to -0.24]; P < .001), clinical impairment (Cohen d, -0.75 [95% CI, -1.13 to -0.37]; P < .001), well-being (Cohen d, 0.38 [95% CI, 0.01 to 0.75]; P = .047), depression (Cohen d, -0.49 [95% CI, -0.86 to -0.12]; P = .01), anxiety (Cohen d, -0.37 [95% CI, -0.67 to -0.07]; P = .02), self-esteem (Cohen d, 0.36 [95% CI, 0.13 to 0.59]; P = .003), and emotion regulation (difficulties: Cohen d, -0.36 [95% CI, -0.65 to -0.07]; P = .01 and repertoire: Cohen d, 0.52 [95% CI, 0.19 to 0.84]; P = .003). Conclusion and Relevance In this randomized clinical trial of a web-based self-help intervention for patients with BED, the findings confirmed its effectiveness in reducing binge eating episodes and improving various mental health outcomes, highlighting a scalable solution to bridge the treatment gap for this condition. Trial Registration ClinicalTrials.gov Identifier: NCT04876183.
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Affiliation(s)
- Luise Pruessner
- Department of Psychology, Heidelberg University, Heidelberg, Germany
| | - Christina Timm
- Department of Psychology, Heidelberg University, Heidelberg, Germany
| | - Sven Barnow
- Department of Psychology, Heidelberg University, Heidelberg, Germany
| | - Julian A. Rubel
- Department of Psychology, University of Osnabrück, Osnabrück, Germany
| | - Christopher Lalk
- Department of Psychology, University of Osnabrück, Osnabrück, Germany
| | - Steffen Hartmann
- Department of Psychology, Heidelberg University, Heidelberg, Germany
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Kolaas K, Berman AH, Hedman-Lagerlöf E, Lindsäter E, Hybelius J, Axelsson E. Internet-delivered transdiagnostic psychological treatments for individuals with depression, anxiety or both: a systematic review with meta-analysis of randomised controlled trials. BMJ Open 2024; 14:e075796. [PMID: 38569713 PMCID: PMC11015301 DOI: 10.1136/bmjopen-2023-075796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Accepted: 02/26/2024] [Indexed: 04/05/2024] Open
Abstract
OBJECTIVE Depression and anxiety are major public health problems. This study evaluated the effects of internet-delivered transdiagnostic psychological treatments for individuals with depression, anxiety, or both. DESIGN Systematic review with meta-analysis. DATA SOURCES Medline (Ovid), Cochrane Library (Wiley), the Web of Science Core Collection (Clarivate), and PsycInfo (EBSCO) were searched on 24 May 2021, with an update on 6 February 2023. ELIGIBILITY CRITERIA Randomised controlled trials of internet-delivered transdiagnostic psychological treatments, open to both participants with primary depression and participants with primary anxiety. This review concerned all treatment frameworks, both guided and unguided formats and all age groups. DATA EXTRACTION AND SYNTHESIS In random-effects meta-analysis, we estimated pooled effects on depression symptoms and anxiety in terms of Hedges' g with 95% CIs. Absolute and relative heterogeneity was quantified as the τ2 and I 2. RESULTS We included 57 trials with 21 795 participants. Nine trials (16%) recruited exclusively from routine care, and three (5%) delivered treatment via video. For adults, large within-group reductions were seen in depression (g=0.90; 95% CI 0.81 to 0.99) and anxiety (g=0.87; 95% CI 0.78 to 0.96). Compared with rudimentary passive controls, the added effects were moderate (depression: g=0.52; 95% CI 0.42 to 0.63; anxiety: g=0.45; 95% CI 0.34 to 0.56) and larger in trials that required all participants to meet full diagnostic criteria for depression or an anxiety disorder. Compared with attention/engagement controls, the added effects were small (depression: g=0.30; 95% CI 0.07 to 0.53; anxiety: g=0.21; 95% CI 0.01 to 0.42). Heterogeneity was substantial, and the certainty of the evidence was very low. Two trials concerned adolescents and reported mixed results. One trial concerned older adults and reported promising results. CONCLUSION Internet-delivered transdiagnostic treatments for depression and anxiety show small-to-moderate added effects, varying by control condition. Research is needed regarding routine care, the video format, children and adolescents and older adults. PROSPERO REGISTRATION NUMBER CRD42021243172.
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Affiliation(s)
- Karoline Kolaas
- Centre for Psychiatry Research, Karolinska Institute Department of Clinical Neuroscience, Stockholm, Stockholm, Sweden
- Liljeholmen University Primary Health Care Center, Region Stockholm, Academic Primary Care Centre, Stockholm, Stockholm, Sweden
| | - Anne H Berman
- Centre for Psychiatry Research, Karolinska Institute Department of Clinical Neuroscience, Stockholm, Stockholm, Sweden
- Department of Psychology, Uppsala Universitet, Uppsala, Sweden
| | - Erik Hedman-Lagerlöf
- Division of Psychology, Karolinska Institute Department of Clinical Neuroscience, Stockholm, Stockholm, Sweden
- Gustavsberg University Primary Health Care Center, Academic Primary Care Centre, Stockholm, Stockholm, Sweden
| | - Elin Lindsäter
- Division of Psychology, Karolinska Institute Department of Clinical Neuroscience, Stockholm, Stockholm, Sweden
- Gustavsberg University Primary Health Care Center, Academic Primary Care Centre, Stockholm, Stockholm, Sweden
| | - Jonna Hybelius
- Liljeholmen University Primary Health Care Center, Region Stockholm, Academic Primary Care Centre, Stockholm, Stockholm, Sweden
- Division of Family Medicine and Primary Care, Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Stockholm, Stockholm, Sweden
| | - Erland Axelsson
- Liljeholmen University Primary Health Care Center, Region Stockholm, Academic Primary Care Centre, Stockholm, Stockholm, Sweden
- Division of Family Medicine and Primary Care, Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Stockholm, Stockholm, Sweden
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Li L, Peng W, Rheu MMJ. Factors Predicting Intentions of Adoption and Continued Use of Artificial Intelligence Chatbots for Mental Health: Examining the Role of UTAUT Model, Stigma, Privacy Concerns, and Artificial Intelligence Hesitancy. Telemed J E Health 2024; 30:722-730. [PMID: 37756224 DOI: 10.1089/tmj.2023.0313] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/29/2023] Open
Abstract
Background: Artificial intelligence-based chatbots (AI chatbots) can potentially improve mental health care, yet factors predicting their adoption and continued use are unclear. Methods: We conducted an online survey with a sample of U.S. adults with symptoms of depression and anxiety (N = 393) in 2021 before the release of ChatGPT. We explored factors predicting the adoption and continued use of AI chatbots, including factors of the unified theory of acceptance and use of technology model, stigma, privacy concerns, and AI hesitancy. Results: Results from the regression indicated that for nonusers, performance expectancy, price value, descriptive norm, and psychological distress are positively related to the intention of adopting AI chatbots, while AI hesitancy and effort expectancy are negatively associated with adopting AI chatbots. For those with experience in using AI chatbots for mental health, performance expectancy, price value, descriptive norm, and injunctive norm are positively related to the intention of continuing to use AI chatbots. Conclusions: Understanding the adoption and continued use of AI chatbots among adults with symptoms of depression and anxiety is essential given that there is a widening gap in the supply and demand of care. AI chatbots provide new opportunities for quality care by supporting accessible, affordable, efficient, and personalized care. This study provides insights for developing and deploying AI chatbots such as ChatGPT in the context of mental health care. Findings could be used to design innovative interventions that encourage the adoption and continued use of AI chatbots among people with symptoms of depression and anxiety and who have difficulty accessing care.
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Affiliation(s)
- Lin Li
- Department of Informatics, University of California Irvine, Irvine, California, USA
| | - Wei Peng
- Department of Media and Information, Michigan State University, East Lansing, Michigan, USA
| | - Minjin M J Rheu
- School of Communication, Loyola University Chicago, Chicago, Illinois, USA
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10
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Yeo G, Reich SM, Liaw NA, Chia EYM. The Effect of Digital Mental Health Literacy Interventions on Mental Health: Systematic Review and Meta-Analysis. J Med Internet Res 2024; 26:e51268. [PMID: 38421687 PMCID: PMC10941000 DOI: 10.2196/51268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 10/25/2023] [Accepted: 12/25/2023] [Indexed: 03/02/2024] Open
Abstract
BACKGROUND Accelerated by technological advancements and the recent global pandemic, there is burgeoning interest in digital mental health literacy (DMHL) interventions that can positively affect mental health. However, existing work remains inconclusive regarding the effectiveness of DMHL interventions. OBJECTIVE This systematic review and meta-analysis investigated the components and modes of DMHL interventions, their moderating factors, and their long-term impacts on mental health literacy and mental health. METHODS We used a random-effects model to conduct meta-analyses and meta-regressions on moderating effects of DMHL interventions on mental health. RESULTS Using 144 interventions with 206 effect sizes, we found a moderate effect of DMHL interventions in enhancing distal mental health outcomes (standardized mean difference=0.42, 95% CI -0.10 to 0.73; P<.001) and a large effect in increasing proximal mental health literacy outcomes (standardized mean difference=0.65, 95% CI 0.59-0.74; P<.001). Uptake of DMHL interventions was comparable with that of control conditions, and uptake of DMHL interventions did not moderate the effects on both proximal mental health literacy outcomes and distal mental health outcomes. DMHL interventions were as effective as face-to-face interventions and did not differ by platform type or dosage. DMHL plus interventions (DMHL psychoeducation coupled with other active treatment) produced large effects in bolstering mental health, were more effective than DMHL only interventions (self-help DMHL psychoeducation), and were comparable with non-DMHL interventions (treatment as usual). DMHL interventions demonstrated positive effects on mental health that were sustained over follow-up assessments and were most effective in enhancing the mental health of emerging and older adults. CONCLUSIONS For theory building, our review and meta-analysis found that DMHL interventions are as effective as face-to-face interventions. DMHL interventions confer optimal effects on mental health when DMHL psychoeducation is combined with informal, nonprofessional active treatment components such as skills training and peer support, which demonstrate comparable effectiveness with that of treatment as usual (client-professional interactions and therapies). These effects, which did not differ by platform type or dosage, were sustained over time. Additionally, most DMHL interventions are found in Western cultural contexts, especially in high-income countries (Global North) such as Australia, the United States, and the United Kingdom, and limited research is conducted in low-income countries in Asia and in South American and African countries. Most of the DMHL studies did not report information on the racial or ethnic makeup of the samples. Future work on DMHL interventions that target racial or ethnic minority groups, particularly the design, adoption, and evaluation of the effects of culturally adaptive DMHL interventions on uptake and mental health functioning, is needed. Such evidence can drive the adoption and implementation of DMHL interventions at scale, which represents a key foundation for practice-changing impact in the provision of mental health resources for individuals and the community. TRIAL REGISTRATION PROSPERO International Prospective Register of Systematic Reviews CRD42023363995; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023363995.
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Affiliation(s)
- GeckHong Yeo
- N.1 Institute for Health, National University of Singapore, Singapore, Singapore
| | - Stephanie M Reich
- School of Education, University of California, Irvine, Irvine, CA, United States
| | - Nicole A Liaw
- SHINE Children and Youth Services, Singapore, Singapore, Singapore
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11
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Zhu B, Hou Y, Yu X, Jiang M, Lu M, Shang M, Zhen H, Gu Y, Li H, Tao F. A hybrid effectiveness-implementation trial of application-based tiered care (Mom's Good Mood) in treating perinatal anxiety within a primary health care system in China. BMJ Glob Health 2024; 9:e013604. [PMID: 38195154 PMCID: PMC10806923 DOI: 10.1136/bmjgh-2023-013604] [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: 08/02/2023] [Accepted: 11/25/2023] [Indexed: 01/11/2024] Open
Abstract
INTRODUCTION Perinatal anxiety (PNA) is a major public health concern. METHODS A hybrid effectiveness-implementation trial was conducted in two antenatal clinics in Hefei, China, to assess the effectiveness and cost-effectiveness of application-based tiered care (Mom's Good Mood, MGM) in treating PNA and to understand how well it fits into routine practices. Pregnant women who scored at least 5 points on the 7-Item Generalised Anxiety Disorder Scale (GAD-7) scale were successively assigned to the control group or the intervention group, which were given the usual care and MGM on usual care, respectively. At 6 months post partum, anxiety, depression and life satisfaction were assessed. Intention-to-treat analysis and the Reach, Effectiveness, Adoption, Implementation and Maintenance framework were adopted. RESULTS A total of 214 women were assigned to the control group and 341 to the intervention group. The mean changes in GAD-7 scores (Least-squares means, LSM, -1.42, 95% CI -2.18 to -0.66) and the risk of anxiety (adjusted odds ratio, aOR 0.30, 95% CI 0.18 to 0.51) were decreased, and the anxiety remission rate (aOR 2.72, 95% CI 1.69 to 4.40) were improved in the intervention group. Similar findings were observed regarding the change in Edinburgh Postnatal Depression Scale scores (LS -1.92, 95% CI -2.85 to -0.99), depression remission rate (aOR 2.24, 95% CI 1.39 to 3.63) and the risk of depression (aOR 0.57, 95% CI 0.33 to 0.98). MGM only costs ¥1.88 (US$0.27) per pregnant woman to boost the postpartum anxiety remission rate by 1% and was revealed to have a high reach rate of 78.3%, an adoption rate of 51.3%-80.8%. CONCLUSION MGM is a cost-effective and accessible tool in coping with PNA. TRIAL REGISTRATION NUMBER ChiCTR2100053419.
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Affiliation(s)
- Beibei Zhu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China
- Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No 81 Meishan Road, Hefei 230032, Anhui, China
- Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China
| | - Yanyan Hou
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China
- Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No 81 Meishan Road, Hefei 230032, Anhui, China
- Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China
| | - Xiayan Yu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China
- Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No 81 Meishan Road, Hefei 230032, Anhui, China
- Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China
| | - Minmin Jiang
- Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No 81 Meishan Road, Hefei 230032, Anhui, China
- Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China
- Department of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China
| | - Mengjuan Lu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China
- Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No 81 Meishan Road, Hefei 230032, Anhui, China
- Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China
| | - Mengqing Shang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China
- Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No 81 Meishan Road, Hefei 230032, Anhui, China
- Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China
| | - Hualong Zhen
- Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No 81 Meishan Road, Hefei 230032, Anhui, China
- Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China
- Department of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China
| | - Yue Gu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China
- Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No 81 Meishan Road, Hefei 230032, Anhui, China
- Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China
| | - Haiyan Li
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China
- Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No 81 Meishan Road, Hefei 230032, Anhui, China
- Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China
| | - Fangbiao Tao
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China
- Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No 81 Meishan Road, Hefei 230032, Anhui, China
- Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China
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Nagar R, Quirk HD, Anderson PL. User experiences of college students using mental health applications to improve self-care: Implications for improving engagement. Internet Interv 2023; 34:100676. [PMID: 37867616 PMCID: PMC10587513 DOI: 10.1016/j.invent.2023.100676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 08/29/2023] [Accepted: 09/27/2023] [Indexed: 10/24/2023] Open
Abstract
The purpose of this study is to evaluate themes on 'user experiences' among college students (N = 265) enrolled in an upper-division Psychopathology course who were assigned a project in which they were instructed to identify a self-care goal, choose from a list of six mental health-focused mobile applications (apps) provided by the instructor, and use the app over the course of three weeks to support progress towards their goal. Prior literature on user experiences typically evaluates user reviews, or asks participants to reflect on past app use or anticipate future use. Students reported their experiences using the app during key decision points: app selection, while using the app, and at the conclusion of the assignment. Using thematic analysis, results identified seven central themes and eight subthemes pertaining to the content of the app (e.g., app features) and the context of using the app (e.g., classroom assignment). Content-wise students liked: 1) features with a strong evidence base, namely, thought diaries and guided meditations; 2) progress tracking, because it increased awareness of mood/stressors, motivated students to see improvement, and helped them stay on track. Students appreciated having 3) crisis support resources; 4) app interfaces that allowed for customization (poor app interfaces were sometimes cited as the reason for disengagement); and 5) apps that included varied, comprehensive resources such that it felt like a one-stop shop. In addition to the content of features and design interface, the context in which mental health apps are introduced and used is important. The remaining themes related to the context in which the app was used, including 6) preparation for app usage, such as reviewing scholarly/credible sources, and 7) social support from fellow students completing the same assignment. Future research should evaluate the 'who, what, when, why, where, and how' of app utilization during key decision points, such as initial app selection or subscription renewal, to better understand the impact of user experience on engagement.
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Affiliation(s)
- Ria Nagar
- Department of Psychology, Georgia State University, United States of America
| | - Heather D. Quirk
- Department of Psychology, Georgia State University, United States of America
| | - Page L. Anderson
- Department of Psychology, Georgia State University, United States of America
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13
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Meyerhoff J, Kornfield R, Lattie EG, Knapp AA, Kruzan KP, Jacobs M, Stamatis CA, Taple BJ, Beltzer ML, Berry AB, Reddy M, Mohr DC, Graham AK. From formative design to service-ready therapeutic: A pragmatic approach to designing digital mental health interventions across domains. Internet Interv 2023; 34:100677. [PMID: 37808416 PMCID: PMC10551833 DOI: 10.1016/j.invent.2023.100677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 08/30/2023] [Accepted: 09/27/2023] [Indexed: 10/10/2023] Open
Abstract
As digital mental health interventions (DMHIs) proliferate, there is a growing need to understand the complexities of moving these tools from concept and design to service-ready products. We highlight five case studies from a center that specializes in the design and evaluation of digital mental health interventions to illustrate pragmatic approaches to the development of digital mental health interventions, and to make transparent some of the key decision points researchers encounter along the design-to-product pipeline. Case studies cover different key points in the design process and focus on partnership building, understanding the problem or opportunity, prototyping the product or service, and testing the product or service. We illustrate lessons learned and offer a series of questions researchers can use to navigate key decision points in the digital mental health intervention (DMHI) development process.
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Affiliation(s)
- Jonah Meyerhoff
- Center for Behavioral Intervention Technologies, Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, 750 N Lake Shore Drive, 10th Floor, Chicago, IL 60611, United States of America
| | - Rachel Kornfield
- Center for Behavioral Intervention Technologies, Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, 750 N Lake Shore Drive, 10th Floor, Chicago, IL 60611, United States of America
| | - Emily G. Lattie
- Center for Behavioral Intervention Technologies, Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, 750 N Lake Shore Drive, 10th Floor, Chicago, IL 60611, United States of America
| | - Ashley A. Knapp
- Center for Behavioral Intervention Technologies, Department of Psychological and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, 750 N Lake Shore Drive, 10th Floor, Chicago, IL 60611, United States of America
| | - Kaylee P. Kruzan
- Center for Behavioral Intervention Technologies, Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, 750 N Lake Shore Drive, 10th Floor, Chicago, IL 60611, United States of America
| | - Maia Jacobs
- Center for Behavioral Intervention Technologies, Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, 750 N Lake Shore Drive, 10th Floor, Chicago, IL 60611, United States of America
- Department of Computer Science, Northwestern University, MUDD 2233 Tech Drive, 3rd Floor, Evanston, IL 60208, United States of America
| | - Caitlin A. Stamatis
- Center for Behavioral Intervention Technologies, Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, 750 N Lake Shore Drive, 10th Floor, Chicago, IL 60611, United States of America
| | - Bayley J. Taple
- Center for Behavioral Intervention Technologies, Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, 750 N Lake Shore Drive, 10th Floor, Chicago, IL 60611, United States of America
| | - Miranda L. Beltzer
- Center for Behavioral Intervention Technologies, Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, 750 N Lake Shore Drive, 10th Floor, Chicago, IL 60611, United States of America
| | - Andrew B.L. Berry
- Center for Behavioral Intervention Technologies, Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, 750 N Lake Shore Drive, 10th Floor, Chicago, IL 60611, United States of America
| | - Madhu Reddy
- Donald Bren School of Information and Computer Sciences, University of California – Irvine, 6210 Donald Bren Hall, Irvine, CA 92697, United States of America
| | - David C. Mohr
- Center for Behavioral Intervention Technologies, Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, 750 N Lake Shore Drive, 10th Floor, Chicago, IL 60611, United States of America
| | - Andrea K. Graham
- Center for Behavioral Intervention Technologies, Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, 750 N Lake Shore Drive, 10th Floor, Chicago, IL 60611, United States of America
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Perret S, Alon N, Carpenter-Song E, Myrick K, Thompson K, Li S, Sharma K, Torous J. Standardising the role of a digital navigator in behavioural health: a systematic review. Lancet Digit Health 2023; 5:e925-e932. [PMID: 38000876 DOI: 10.1016/s2589-7500(23)00152-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 07/26/2023] [Accepted: 07/28/2023] [Indexed: 11/26/2023]
Abstract
As the number and availability of digital mental health tools increases, patients and clinicians see benefit only when these tools are engaging and well integrated into care. Digital navigators-ie, members of health-care teams who are dedicated to supporting patient use of digital resources-offer one solution and continue to be piloted in behavioural health; however, little is known about the core features of this position. The aims of this systematic review were to assess how digital navigators are implemented in behavioural health, and to provide a standardised definition of this position. In January, 2023, we conducted a systematic literature search resulting in 48 articles included in this systematic review. Results showed high heterogeneity between four attributes of digital navigators: training specifications, educational background, frequency of communication, and method of communication with patients. Reported effect sizes for depression and anxiety were medium to large, but could not be synthesised due to study heterogeneity and small study sample size. This systematic review was registered with PROSPERO (CRD42023391696). Results suggest that digital navigator support can probably increase access to, engagement with, and clinical integration of digital health technology, with standards for training and defined responsibilities now emerging.
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Affiliation(s)
- Sarah Perret
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Noy Alon
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | | | - Keris Myrick
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Kennedy Thompson
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Sunnie Li
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Karuna Sharma
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - John Torous
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
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15
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Lv N, Kannampallil T, Xiao L, Ronneberg CR, Kumar V, Wittels NE, Ajilore OA, Smyth JM, Ma J. Association Between User Interaction and Treatment Response of a Voice-Based Coach for Treating Depression and Anxiety: Secondary Analysis of a Pilot Randomized Controlled Trial. JMIR Hum Factors 2023; 10:e49715. [PMID: 37930781 PMCID: PMC10660207 DOI: 10.2196/49715] [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: 06/09/2023] [Revised: 10/05/2023] [Accepted: 10/05/2023] [Indexed: 11/07/2023] Open
Abstract
BACKGROUND The quality of user interaction with therapeutic tools has been positively associated with treatment response; however, no studies have investigated these relationships for voice-based digital tools. OBJECTIVE This study evaluated the relationships between objective and subjective user interaction measures as well as treatment response on Lumen, a novel voice-based coach, delivering problem-solving treatment to patients with mild to moderate depression or anxiety or both. METHODS In a pilot trial, 42 adults with clinically significant depression (Patient Health Questionnaire-9 [PHQ-9]) or anxiety (7-item Generalized Anxiety Disorder Scale [GAD-7]) symptoms or both received Lumen, a voice-based coach delivering 8 problem-solving treatment sessions. Objective (number of conversational breakdowns, ie, instances where a participant's voice input could not be interpreted by Lumen) and subjective user interaction measures (task-related workload, user experience, and treatment alliance) were obtained for each session. Changes in PHQ-9 and GAD-7 scores at each ensuing session after session 1 measured the treatment response. RESULTS Participants were 38.9 (SD 12.9) years old, 28 (67%) were women, 8 (19%) were Black, 12 (29%) were Latino, 5 (12%) were Asian, and 28 (67%) had a high school or college education. Mean (SD) across sessions showed breakdowns (mean 6.5, SD 4.4 to mean 2.3, SD 1.8) decreasing over sessions, favorable task-related workload (mean 14.5, SD 5.6 to mean 17.6, SD 5.6) decreasing over sessions, neutral-to-positive user experience (mean 0.5, SD 1.4 to mean 1.1, SD 1.3), and high treatment alliance (mean 5.0, SD 1.4 to mean 5.3, SD 0.9). PHQ-9 (Ptrend=.001) and GAD-7 scores (Ptrend=.01) improved significantly over sessions. Treatment alliance correlated with improvements in PHQ-9 (Pearson r=-0.02 to -0.46) and GAD-7 (r=0.03 to -0.57) scores across sessions, whereas breakdowns and task-related workload did not. Mixed models showed that participants with higher individual mean treatment alliance had greater improvements in PHQ-9 (β=-1.13, 95% CI -2.16 to -0.10) and GAD-7 (β=-1.17, 95% CI -2.13 to -0.20) scores. CONCLUSIONS The participants had fewer conversational breakdowns and largely favorable user interactions with Lumen across sessions. Conversational breakdowns were not associated with subjective user interaction measures or treatment responses, highlighting how participants adapted and effectively used Lumen. Individuals experiencing higher treatment alliance had greater improvements in depression and anxiety. Understanding treatment alliance can provide insights on improving treatment response for this new delivery modality, which provides accessibility, flexibility, comfort with disclosure, and cost-related advantages compared to conventional psychotherapy. TRIAL REGISTRATION ClinicalTrials.gov NCT04524104; https://clinicaltrials.gov/study/NCT04524104.
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Affiliation(s)
- Nan Lv
- Department of Medicine, University of Illinois Chicago, Chicago, IL, United States
| | - Thomas Kannampallil
- Department of Anesthesiology, Washington University, St. Louis, MO, United States
- Institute for Informatics, Washington University, St. Louis, MO, United States
| | - Lan Xiao
- Department of Epidemiology and Population Health, Stanford University, Stanford, CA, United States
| | - Corina R Ronneberg
- Department of Medicine, University of Illinois Chicago, Chicago, IL, United States
| | - Vikas Kumar
- Department of Medicine, University of Illinois Chicago, Chicago, IL, United States
| | - Nancy E Wittels
- Department of Medicine, University of Illinois Chicago, Chicago, IL, United States
| | - Olusola A Ajilore
- Department of Psychiatry, University of Illinois Chicago, Chicago, IL, United States
| | - Joshua M Smyth
- Department of Psychology, The Ohio State University, Columbus, OH, United States
| | - Jun Ma
- Department of Medicine, University of Illinois Chicago, Chicago, IL, United States
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Blonigen DM, Montena AL, Smith J, Hedges J, Kuhn E, Carlson EB, Owen J, Wielgosz J, Possemato K. Peer-supported mobile mental health for veterans in primary care: A pilot study. Psychol Serv 2023; 20:734-744. [PMID: 36107676 PMCID: PMC10278739 DOI: 10.1037/ser0000709] [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: 11/07/2023]
Abstract
One in four veteran primary care patients suffers from a mental health condition; however, most do not receive any treatment for these problems. Mobile health (mHealth) can overcome barriers to care access, but poor patient engagement limits the effectiveness and implementation of these tools. Peers may facilitate patient engagement with mHealth. We designed a protocol for peers to support implementation of mobile mental health tools in primary care and tested the feasibility, acceptability, and clinical utility of this approach. Thirty-nine patients across two Veterans Affairs sites who screened positive for depression during a primary care visit and were not currently in mental health treatment were enrolled. Participants were scheduled for four phone sessions with a peer over 8 weeks and introduced to five mobile apps for a range of transdiagnostic mental health issues (stress, low mood, sleep problems, anger, and trauma). Pre/post phone interviews using quantitative and qualitative approaches assessed participants' self-reported app use, satisfaction with the intervention, symptom change (stress, anxiety, depression, insomnia), and progress with personal health goals. On average, patients reported using 3.04 apps (SD = 1.46). Per the Client Satisfaction Questionnaire, global satisfaction with the intervention was high (M = 25.71 out of 32, SD = 3.95). Pre to post participants reported significant improvements in their level of stress, based on a quantitative measure (p = .008), and 87% reported progress on at least one personal health goal. Findings support the feasibility, acceptability, and clinical utility of peer-supported mobile mental health for veterans in primary care. A randomized controlled trial of an adaptive version of this intervention is recommended. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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Affiliation(s)
- Daniel M. Blonigen
- HSR&D Center for Innovation to Implementation, Department of Veterans Affairs Palo Alto Health Care System
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine
| | | | - Jennifer Smith
- HSR&D Center for Innovation to Implementation, Department of Veterans Affairs Palo Alto Health Care System
| | - Jacob Hedges
- VA Center for Integrated Healthcare, Syracuse VA Medical Center
| | - Eric Kuhn
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine
- National Center for PTSD, Dissemination and Training Division, Department of Veterans Affairs Palo Alto Health Care System
| | - Eve B. Carlson
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine
- National Center for PTSD, Dissemination and Training Division, Department of Veterans Affairs Palo Alto Health Care System
| | - Jason Owen
- National Center for PTSD, Dissemination and Training Division, Department of Veterans Affairs Palo Alto Health Care System
| | - Joseph Wielgosz
- National Center for PTSD, Dissemination and Training Division, Department of Veterans Affairs Palo Alto Health Care System
| | - Kyle Possemato
- VA Center for Integrated Healthcare, Syracuse VA Medical Center
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17
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Medich M, Cannedy SL, Hoffmann LC, Chinchilla MY, Pila JM, Chassman SA, Calderon RA, Young AS. Clinician and Patient Perspectives on the Use of Passive Mobile Monitoring and Self-Tracking for Patients With Serious Mental Illness: User-Centered Approach. JMIR Hum Factors 2023; 10:e46909. [PMID: 37874639 PMCID: PMC10630855 DOI: 10.2196/46909] [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: 03/03/2023] [Revised: 08/11/2023] [Accepted: 08/12/2023] [Indexed: 10/25/2023] Open
Abstract
BACKGROUND Early intervention in mental health crises can prevent negative outcomes. A promising new direction is remote mental health monitoring using smartphone technology to passively collect data from individuals to rapidly detect the worsening of serious mental illness (SMI). This technology may benefit patients with SMI, but little is known about health IT acceptability among this population or their mental health clinicians. OBJECTIVE We used the Health Information Technology Acceptability Model to analyze the acceptability and usability of passive mobile monitoring and self-tracking among patients with serious mental illness and their mental health clinicians. METHODS Data collection took place between December 2020 and June 2021 in 1 Veterans Administration health care system. Interviews with mental health clinicians (n=16) assessed the acceptability of mobile sensing, its usefulness as a tool to improve clinical assessment and care, and recommendations for program refinements. Focus groups with patients with SMI (n=3 groups) and individual usability tests (n=8) elucidated patient attitudes about engaging in health IT and perceptions of its usefulness as a tool for self-tracking and improving mental health assessments. RESULTS Clinicians discussed the utility of web-based data dashboards to monitor patients with SMI health behaviors and receiving alerts about their worsening health. Potential benefits included improving clinical care, capturing behaviors patients do not self-report, watching trends, and receiving alerts. Clinicians' concerns included increased workloads tied to dashboard data review, lack of experience using health IT in clinical care, and how SMI patients' associated paranoia and financial instability would impact patient uptake. Despite concerns, all mental health clinicians stated that they would recommend it. Almost all patients with SMI were receptive to using smartphone dashboards for self-monitoring and having behavioral change alerts sent to their mental health clinicians. They found the mobile app easy to navigate and dashboards easy to find and understand. Patient concerns centered on privacy and "government tracking," and their phone's battery life and data plans. Despite concerns, most reported that they would use it. CONCLUSIONS Many people with SMI would like to have mobile informatics tools that can support their illness and recovery. Similar to other populations (eg, older adults, people experiencing homelessness) this population presents challenges to adoption and implementation. Health care organizations will need to provide resources to address these and support successful illness management. Clinicians are supportive of technological approaches, with adapting informatics data into their workflow as the primary challenge. Despite clear challenges, technological developments are increasingly designed to be acceptable to patients. The research development-clinical deployment gap must be addressed by health care systems, similar to computerized cognitive training. It will ensure clinicians operate at the top of their skill set and are not overwhelmed by administrative tasks, data summarization, or reviewing data that do not indicate a need for intervention. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) RR2-10.2196/39010.
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Affiliation(s)
- Melissa Medich
- Center for the Study of Healthcare Innovation, Implementation and Policy, VA Greater Los Angeles Healthcare System, U.S. Department of Veteran Affairs, North Hills, CA, United States
- The Lundquist Institute for Biomedical Research, Torrance, CA, United States
| | - Shay L Cannedy
- Center for the Study of Healthcare Innovation, Implementation and Policy, VA Greater Los Angeles Healthcare System, U.S. Department of Veteran Affairs, North Hills, CA, United States
| | - Lauren C Hoffmann
- Mental Illness Research, Education and Clinical Center, VA Greater Los Angeles Healthcare System, U.S. Department of Veteran Affairs, Los Angeles, CA, United States
| | - Melissa Y Chinchilla
- Mental Illness Research, Education and Clinical Center, VA Greater Los Angeles Healthcare System, U.S. Department of Veteran Affairs, Los Angeles, CA, United States
| | - Jose M Pila
- Mental Illness Research, Education and Clinical Center, VA Greater Los Angeles Healthcare System, U.S. Department of Veteran Affairs, Los Angeles, CA, United States
| | - Stephanie A Chassman
- Mental Illness Research, Education and Clinical Center, VA Greater Los Angeles Healthcare System, U.S. Department of Veteran Affairs, Los Angeles, CA, United States
| | - Ronald A Calderon
- Mental Illness Research, Education and Clinical Center, VA Greater Los Angeles Healthcare System, U.S. Department of Veteran Affairs, Los Angeles, CA, United States
| | - Alexander S Young
- Mental Illness Research, Education and Clinical Center, VA Greater Los Angeles Healthcare System, U.S. Department of Veteran Affairs, Los Angeles, CA, United States
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University California Los Angeles Geffen School of Medicine, Los Angeles, CA, United States
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18
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Hoffman V, Flom M, Mariano TY, Chiauzzi E, Williams A, Kirvin-Quamme A, Pajarito S, Durden E, Perski O. User Engagement Clusters of an 8-Week Digital Mental Health Intervention Guided by a Relational Agent (Woebot): Exploratory Study. J Med Internet Res 2023; 25:e47198. [PMID: 37831490 PMCID: PMC10612009 DOI: 10.2196/47198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2023] [Revised: 05/08/2023] [Accepted: 08/22/2023] [Indexed: 10/14/2023] Open
Abstract
BACKGROUND With the proliferation of digital mental health interventions (DMHIs) guided by relational agents, little is known about the behavioral, cognitive, and affective engagement components associated with symptom improvement over time. Obtaining a better understanding could lend clues about recommended use for particular subgroups of the population, the potency of different intervention components, and the mechanisms underlying the intervention's success. OBJECTIVE This exploratory study applied clustering techniques to a range of engagement indicators, which were mapped to the intervention's active components and the connect, attend, participate, and enact (CAPE) model, to examine the prevalence and characterization of each identified cluster among users of a relational agent-guided DMHI. METHODS We invited adults aged 18 years or older who were interested in using digital support to help with mood management or stress reduction through social media to participate in an 8-week DMHI guided by a natural language processing-supported relational agent, Woebot. Users completed assessments of affective and cognitive engagement, working alliance as measured by goal and task working alliance subscale scores, and enactment (ie, application of therapeutic recommendations in real-world settings). The app passively collected data on behavioral engagement (ie, utilization). We applied agglomerative hierarchical clustering analysis to the engagement indicators to identify the number of clusters that provided the best fit to the data collected, characterized the clusters, and then examined associations with baseline demographic and clinical characteristics as well as mental health outcomes at week 8. RESULTS Exploratory analyses (n=202) supported 3 clusters: (1) "typical utilizers" (n=81, 40%), who had intermediate levels of behavioral engagement; (2) "early utilizers" (n=58, 29%), who had the nominally highest levels of behavioral engagement in week 1; and (3) "efficient engagers" (n=63, 31%), who had significantly higher levels of affective and cognitive engagement but the lowest level of behavioral engagement. With respect to mental health baseline and outcome measures, efficient engagers had significantly higher levels of baseline resilience (P<.001) and greater declines in depressive symptoms (P=.01) and stress (P=.01) from baseline to week 8 compared to typical utilizers. Significant differences across clusters were found by age, gender identity, race and ethnicity, sexual orientation, education, and insurance coverage. The main analytic findings remained robust in sensitivity analyses. CONCLUSIONS There were 3 distinct engagement clusters found, each with distinct baseline demographic and clinical traits and mental health outcomes. Additional research is needed to inform fine-grained recommendations regarding optimal engagement and to determine the best sequence of particular intervention components with known potency. The findings represent an important first step in disentangling the complex interplay between different affective, cognitive, and behavioral engagement indicators and outcomes associated with use of a DMHI incorporating a natural language processing-supported relational agent. TRIAL REGISTRATION ClinicalTrials.gov NCT05672745; https://classic.clinicaltrials.gov/ct2/show/NCT05672745.
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Affiliation(s)
| | - Megan Flom
- Woebot Health, Inc., San Francisco, CA, United States
| | - Timothy Y Mariano
- Woebot Health, Inc., San Francisco, CA, United States
- Rehabilitation Research & Development Service Center for Neurorestoration and Neurotechnology, Department of Veterans Affairs Providence Healthcare System, Providence, RI, United States
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, United States
| | - Emil Chiauzzi
- Woebot Health, Inc., San Francisco, CA, United States
| | | | | | | | - Emily Durden
- Woebot Health, Inc., San Francisco, CA, United States
| | - Olga Perski
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, CA, United States
- Faculty of Social Sciences, Tampere University, Tampere, Finland
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19
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Eustis EH, LoPresti J, Aguilera A, Schueller SM. Cultural Responsivity in Technology-Enabled Services: Integrating Culture Into Technology and Service Components. J Med Internet Res 2023; 25:e45409. [PMID: 37788050 PMCID: PMC10582817 DOI: 10.2196/45409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 07/31/2023] [Accepted: 08/21/2023] [Indexed: 10/04/2023] Open
Abstract
Technology-enabled services (TESs) are clinical interventions that combine technological and human components to provide health services. TESs for mental health are efficacious in the treatment of anxiety and depression and are currently being offered as frontline treatments around the world. It is hoped that these interventions will be able to reach diverse populations across a range of identities and ultimately decrease disparities in mental health treatment. However, this hope is largely unrealized. TESs include both technology and human service components, and we argue that cultural responsivity must be considered in each of these components to help address existing treatment disparities. To date, there is limited guidance on how to consider cultural responsivity within these interventions, including specific targets for the development, tailoring, or design of the technologies and services within TESs. In response, we propose a framework that provides specific recommendations for targets based on existing models, both at the technological component level (informed by the Behavioral Intervention Technology Model) and the human support level (informed by the Efficiency Model of Support). We hope that integrating culturally responsive considerations into these existing models will facilitate increased attention to cultural responsivity within TESs to ensure they are ethical and responsive for everyone.
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Affiliation(s)
- Elizabeth H Eustis
- Center for Anxiety and Related Disorders, Boston University, Boston, MA, United States
| | - Jessica LoPresti
- Department of Psychology, Suffolk University, Boston, MA, United States
| | - Adrian Aguilera
- School of Social Welfare, University of California Berkeley, Berkeley, CA, United States
- Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, CA, United States
| | - Stephen M Schueller
- Department of Psychological Science, University of California Irvine, Irvine, CA, United States
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20
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Dzubur E, Yu J, Hoffman J, Painter S, James R, Shah B. The Effect of a Digital Mental Health Program on Anxiety and Depression Symptoms: Retrospective Analysis of Clinical Severity. JMIR Form Res 2023; 7:e36596. [PMID: 37788069 PMCID: PMC10582814 DOI: 10.2196/36596] [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: 01/18/2022] [Revised: 05/03/2022] [Accepted: 02/19/2023] [Indexed: 10/04/2023] Open
Abstract
BACKGROUND Evidence-based digital health programs have shown efficacy in being primary tools to improve emotional and mental health, as well as offering supplementary support to individuals undergoing psychotherapy for anxiety, depression, and other mental health disorders. However, information is lacking about the dose response to digital mental health interventions. OBJECTIVE The objective of the study was to examine the effect of time in program and program usage on symptom change among individuals enrolled in a real-world comprehensive digital mental health program (myStrength) who are experiencing severe anxiety or depression. METHODS Eligible participants (N=18,626) were adults aged 18 years and older who were enrolled in myStrength for at least four weeks as part of their employee wellness benefit program, who completed baseline, the 2-week, 2-month, and 6-month surveys querying symptoms of anxiety (Generalized Anxiety Disorder-7 [GAD-7]) and depression (Patient Health Questionnaire-9 [PHQ-9]). Linear growth curve models were used to analyze the effect of average weekly program usage on subsequent GAD-7 and PHQ-9 scores for participants with scores indicating severe anxiety (GAD-7≥15) or depression (PHQ-9≥15). All models were adjusted for baseline score and demographics. RESULTS Participants in the study (N=1519) were 77.4% female (1176/1519), had a mean age of 45 years (SD 14 years), and had an average enrollment time of 3 months. At baseline, participants reported an average of 9.39 (SD 6.04) on the GAD-7 and 11.0 (SD 6.6) on the PHQ-9. Those who reported 6-month results had an average of 8.18 (SD 6.15) on the GAD-7 and 9.18 (SD 6.79) on the PHQ-9. Participants with severe scores (n=506) experienced a significant improvement of 2.97 (SE 0.35) and 3.97 (SE 0.46) at each time point for anxiety and depression, respectively (t=-8.53 and t=-8.69, respectively; Ps<.001). Those with severe baseline scores also saw a reduction of 0.27 (SE 0.08) and 0.25 (SE 0.09) points in anxiety and depression, respectively, for each additional program activity per week (t=-3.47 and t=-2.66, respectively; Ps<.05). CONCLUSIONS For participants with severe baseline scores, the study found a clinically significant reduction of approximately 9 points for anxiety and 12 points for depression after 6 months of enrollment, suggesting that interventions targeting mental health must maintain active, ongoing engagement when symptoms are present and be available as a continuous resource to maximize clinical impact, specifically in those experiencing severe anxiety or depression. Moreover, a dosing effect was shown, indicating improvement in outcomes among participants who engaged with the program every other day for both anxiety and depression. This suggests that digital mental health programs that provide both interesting and evidence-based activities could be more successful in further improving mental health outcomes.
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Affiliation(s)
| | - Jessica Yu
- Teladoc Health, Purchase, NY, United States
| | | | | | | | - Bimal Shah
- Duke University Medical School, Durham, NC, United States
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21
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Goldberg SB, Sun S, Carlbring P, Torous J. Selecting and describing control conditions in mobile health randomized controlled trials: a proposed typology. NPJ Digit Med 2023; 6:181. [PMID: 37775522 PMCID: PMC10541862 DOI: 10.1038/s41746-023-00923-7] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2022] [Accepted: 09/20/2023] [Indexed: 10/01/2023] Open
Abstract
Hundreds of randomized controlled trials (RCTs) have tested the efficacy of mobile health (mHealth) tools for a wide range of mental and behavioral health outcomes. These RCTs have used a variety of control condition types which dramatically influence the scientific inferences that can be drawn from a given study. Unfortunately, nomenclature across mHealth RCTs is inconsistent and meta-analyses commonly combine control conditions that differ in potentially important ways. We propose a typology of control condition types in mHealth RCTs. We define 11 control condition types, discuss key dimensions on which they differ, provide a decision tree for selecting and identifying types, and describe the scientific inferences each comparison allows. We propose a five-tier comparison strength gradation along with four simplified categorization schemes. Lastly, we discuss unresolved definitional, ethical, and meta-analytic issues related to the categorization of control conditions in mHealth RCTs.
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Affiliation(s)
- Simon B Goldberg
- Department of Counseling Psychology, University of Wisconsin-Madison, Madison, WI, USA.
- Center for Healthy Minds, University of Wisconsin-Madison, Madison, WI, USA.
| | - Shufang Sun
- Department of Behavioral and Social Sciences, Brown University School of Public Health, Providence, RI, USA
- International Health Institute, Brown University School of Public Health, Providence, RI, USA
- Mindfulness Center, Brown University School of Public Health, Providence, RI, USA
| | - Per Carlbring
- Department of Psychology, Stockholm University, Stockholm, Sweden
| | - John Torous
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
- Harvard Business School, Boston, MA, USA
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22
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Duarte-Díaz A, Perestelo-Pérez L, Gelabert E, Robles N, Pérez-Navarro A, Vidal-Alaball J, Solà-Morales O, Sales Masnou A, Carrion C. Efficacy, Safety, and Evaluation Criteria of mHealth Interventions for Depression: Systematic Review. JMIR Ment Health 2023; 10:e46877. [PMID: 37756042 PMCID: PMC10568392 DOI: 10.2196/46877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 07/14/2023] [Accepted: 07/15/2023] [Indexed: 09/28/2023] Open
Abstract
BACKGROUND Depression is a significant public health issue that can lead to considerable disability and reduced quality of life. With the rise of technology, mobile health (mHealth) interventions, particularly smartphone apps, are emerging as a promising approach for addressing depression. However, the lack of standardized evaluation tools and evidence-based principles for these interventions remains a concern. OBJECTIVE In this systematic review and meta-analysis, we aimed to evaluate the efficacy and safety of mHealth interventions for depression and identify the criteria and evaluation tools used for their assessment. METHODS A systematic review and meta-analysis of the literature was carried out following the recommendations of the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement. Studies that recruited adult patients exhibiting elevated depressive symptoms or those diagnosed with depressive disorders and aimed to assess the effectiveness or safety of mHealth interventions were eligible for consideration. The primary outcome of interest was the reduction of depressive symptoms, and only randomized controlled trials (RCTs) were included in the analysis. The risk of bias in the original RCTs was assessed using version 2 of the Cochrane risk-of-bias tool for randomized trials. RESULTS A total of 29 RCTs were included in the analysis after a comprehensive search of electronic databases and manual searches. The efficacy of mHealth interventions in reducing depressive symptoms was assessed using a random effects meta-analysis. In total, 20 RCTs had an unclear risk of bias and 9 were assessed as having a high risk of bias. The most common element in mHealth interventions was psychoeducation, followed by goal setting and gamification strategies. The meta-analysis revealed a significant effect for mHealth interventions in reducing depressive symptoms compared with nonactive control (Hedges g=-0.62, 95% CI -0.87 to -0.37, I2=87%). Hybrid interventions that combined mHealth with face-to-face sessions were found to be the most effective. Three studies compared mHealth interventions with active controls and reported overall positive results. Safety analyses showed that most studies did not report any study-related adverse events. CONCLUSIONS This review suggests that mHealth interventions can be effective in reducing depressive symptoms, with hybrid interventions achieving the best results. However, the high level of heterogeneity in the characteristics and components of mHealth interventions indicates the need for personalized approaches that consider individual differences, preferences, and needs. It is also important to prioritize evidence-based principles and standardized evaluation tools for mHealth interventions to ensure their efficacy and safety in the treatment of depression. Overall, the findings of this study support the use of mHealth interventions as a viable method for delivering mental health care. TRIAL REGISTRATION PROSPERO CRD42022304684; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=304684.
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Affiliation(s)
- Andrea Duarte-Díaz
- Canary Islands Health Research Institute Foundation (FIISC), El Rosario, Spain
- Network for Research on Chronicity, Primary Care and Health Promotion (RICAPPS), Madrid, Spain
- The Spanish Network of Agencies for Health Technology Assessment and Services of the National Health System (RedETS), Madrid, Spain
| | - Lilisbeth Perestelo-Pérez
- Network for Research on Chronicity, Primary Care and Health Promotion (RICAPPS), Madrid, Spain
- The Spanish Network of Agencies for Health Technology Assessment and Services of the National Health System (RedETS), Madrid, Spain
- Evaluation Unit (SESCS), Canary Islands Health Service (SCS), El Rosario, Spain
| | - Estel Gelabert
- Department of Clinical and Health Psychology, Universitat Autònoma de Barcelona, Bellatera (Barcelona), Spain
| | - Noemí Robles
- Network for Research on Chronicity, Primary Care and Health Promotion (RICAPPS), Madrid, Spain
- eHealth Center, Universitat Oberta de Catalunya (UOC), Barcelona, Spain
| | - Antoni Pérez-Navarro
- Faculty of Computer Sciences, Multimedia and Telecommunication, Universitat Oberta de Catalunya (UOC), Barcelona, Spain
- eHealth Lab Research Group, Universitat Oberta de Catalunya (UOC), Barcelona, Spain
| | - Josep Vidal-Alaball
- Unitat de Suport a la Recerca de la Catalunya Central, Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina, Sant Fruitós de Bages, Spain
- Health Promotion in Rural Areas Research Group, Gerencia Territorial de la Catalunya Central, Institut Català de la Salut, Sant Fruitós de Bages, Spain
- Faculty of Medicine, University of Vic-Central University of Catalonia, Vic, Spain
| | - Oriol Solà-Morales
- Fundació HiTT, Barcelona, Spain
- Universitat Internacional de Catalunya (UIC), Barcelona, Spain
- Office of Health Economics (OHE), London, United Kingdom
| | - Ariadna Sales Masnou
- Estudis de Ciències de la Salut, Universitat Oberta de Catalunya (UOC), Barcelona, Spain
| | - Carme Carrion
- Network for Research on Chronicity, Primary Care and Health Promotion (RICAPPS), Madrid, Spain
- eHealth Lab Research Group, School of Health Sciences and eHealth Center, Universitat Oberta de Catalunya (UOC), Barcelona, Spain
- School of Medicine, Universitat de Girona (UdG), Girona, Spain
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Lim YS, Quek JH, Ching XW, Lim DTR, Lim KG, Thuraisingham C, George PP. Efficacy of a Text-Based Mental Health Coaching App in Improving the Symptoms of Stress, Anxiety, and Depression: Randomized Controlled Trial. JMIR Form Res 2023; 7:e46458. [PMID: 37738081 PMCID: PMC10559195 DOI: 10.2196/46458] [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: 02/13/2023] [Revised: 07/18/2023] [Accepted: 08/04/2023] [Indexed: 09/23/2023] Open
Abstract
BACKGROUND Stress, anxiety, and depression are major mental health concerns worldwide. A wide variety of digital mental health interventions have demonstrated efficacy in improving one's mental health status, and digital interventions that involve some form of human involvement have been shown to demonstrate greater efficacy than self-guided digital interventions. Studies demonstrating the efficacy of digital mental health interventions within the Asian region are scarce. OBJECTIVE This study aimed to investigate the potential efficacy of the digital mental health intervention, ThoughtFullChat, which consists of one-on-one, asynchronous, text-based coaching with certified mental health professionals and self-guided tools, in improving self-reported symptoms of depression, anxiety, and stress. The study also aims to examine the potential differences in efficacy among occupational subgroups and between sexes. METHODS A randomized controlled study was conducted among housemen (trainee physicians), students, faculty members, and corporate staff at International Medical University, Malaysia. A total of 392 participants were enrolled and randomized to the intervention (n=197, 50.3%) and control (n=195, 49.7%) groups. Depression, anxiety, and stress symptoms were measured using the Depression, Anxiety, and Stress Scale-21 items at baseline and after the 3-month intervention period. The Satisfaction with Life Scale and Brief Resilience Scale were also included, along with a questionnaire about demographics. RESULTS Significant decrease was observed in depression (P=.02) and anxiety (P=.002) scores in the intervention group. A subgroup (corporate staff) also demonstrated significant decrease in stress (P=.005) alongside depression (P=.006) and anxiety (P=.002). Females showed significant improvements in depression (P=.02) and anxiety (P<.001) when compared with males. CONCLUSIONS This study provides evidence that the ThoughtFullChat app is effective in improving the symptoms of depression, anxiety, and stress in individuals, particularly among corporate staff from the educational field. It also supports the notion that mobile mental health apps that connect users to mental health professionals in a discreet and cost-efficient manner can make important contributions to the improvement of mental health outcomes. The differential improvements among occupational subgroups and between sexes in this study indicate the need for future digital mental health app designs to consider an element of personalization focused on systemic components relating to occupation. TRIAL REGISTRATION Clinicaltrials.gov NCT04944277; https://classic.clinicaltrials.gov/ct2/show/NCT04944277.
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Affiliation(s)
- Yee Siew Lim
- International Medical University (IMU), Seremban, Malaysia
| | - Jia Hui Quek
- International Medical University (IMU), Seremban, Malaysia
| | - Xiu Wei Ching
- International Medical University (IMU), Seremban, Malaysia
| | | | - Kean Ghee Lim
- International Medical University (IMU), Seremban, Malaysia
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Forbes A, Keleher MR, Venditto M, DiBiasi F. Assessing Patient Adherence to and Engagement With Digital Interventions for Depression in Clinical Trials: Systematic Literature Review. J Med Internet Res 2023; 25:e43727. [PMID: 37566447 PMCID: PMC10457707 DOI: 10.2196/43727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 04/24/2023] [Accepted: 06/28/2023] [Indexed: 08/12/2023] Open
Abstract
BACKGROUND New approaches to the treatment of depression are necessary for patients who do not respond to current treatments or lack access to them because of barriers such as cost, stigma, and provider shortage. Digital interventions for depression are promising; however, low patient engagement could limit their effectiveness. OBJECTIVE This systematic literature review (SLR) assessed how participant adherence to and engagement with digital interventions for depression have been measured in the published literature, what levels of adherence and engagement have been reported, and whether higher adherence and increased engagement are linked to increased efficacy. METHODS We focused on a participant population of adults (aged ≥18 years) with depression or major depressive disorder as the primary diagnosis and included clinical trials, feasibility studies, and pilot studies of digital interventions for treating depression, such as digital therapeutics. We screened 756 unique records from Ovid MEDLINE, Embase, and Cochrane published between January 1, 2000, and April 15, 2022; extracted data from and appraised the 94 studies meeting the inclusion criteria; and performed a primarily descriptive analysis. Otsuka Pharmaceutical Development & Commercialization, Inc (Princeton, New Jersey, United States) funded this study. RESULTS This SLR encompassed results from 20,111 participants in studies using 47 unique web-based interventions (an additional 10 web-based interventions were not described by name), 15 mobile app interventions, 5 app-based interventions that are also accessible via the web, and 1 CD-ROM. Adherence was most often measured as the percentage of participants who completed all available modules. Less than half (44.2%) of the participants completed all the modules; however, the average dose received was 60.7% of the available modules. Although engagement with digital interventions was measured differently in different studies, it was most commonly measured as the number of modules completed, the mean of which was 6.4 (means ranged from 1.0 to 19.7) modules. The mean amount of time participants engaged with the interventions was 3.9 (means ranged from 0.7 to 8.4) hours. Most studies of web-based (34/45, 76%) and app-based (8/9, 89%) interventions found that the intervention group had substantially greater improvement for at least 1 outcome than the control group (eg, care as usual, waitlist, or active control). Of the 14 studies that investigated the relationship between engagement and efficacy, 9 (64%) found that increased engagement with digital interventions was significantly associated with improved participant outcomes. The limitations of this SLR include publication bias, which may overstate engagement and efficacy, and low participant diversity, which reduces the generalizability. CONCLUSIONS Patient adherence to and engagement with digital interventions for depression have been reported in the literature using various metrics. Arriving at more standardized ways of reporting adherence and engagement would enable more effective comparisons across different digital interventions, studies, and populations.
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Affiliation(s)
- Ainslie Forbes
- Otsuka Pharmaceutical Development & Commercialization, Inc, Princeton, NJ, United States
| | | | | | - Faith DiBiasi
- Otsuka Pharmaceutical Development & Commercialization, Inc, Princeton, NJ, United States
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Pettus C, Fulmer R, Pederson SD, Eikenberry J. Study protocol paper for the multi-site feasibility evaluation of mobile and technology-assisted aftercare services for crisis stabilization units. Pilot Feasibility Stud 2023; 9:135. [PMID: 37525253 PMCID: PMC10388447 DOI: 10.1186/s40814-023-01361-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 07/10/2023] [Indexed: 08/02/2023] Open
Abstract
BACKGROUND Law enforcement frequently responds to substance abuse and mental health crises. Crisis stabilization units (CSUs) operate as a public-receiving facility to provide short-term stabilization services for individuals experiencing these crises and offer law enforcement an important alternative to arrest. However, there is limited understanding about how and when law enforcement decides to use CSUs. There is also the challenge of retaining individuals in treatment after CSU stabilization to prevent future crises and persistent engagement with police. This study will respond to these gaps by exploring CSU procedures and examining the feasibility and acceptability of a technology-assisted mobile aftercare intervention designed for individuals brought to a CSU by law enforcement. METHODS This study will consist of three aims. Aim 1 will include qualitative interviews with law enforcement and CSU-affiliated mental health staff (n=80) regarding CSU utilization and collaboration logistics between the groups. Findings from Aim 1 will be synthesized for the development of an implementation guide of our intervention, mobile, and technology-assisted aftercare, designed for individuals brought to a CSU by law enforcement, during Aim 2. During Aim 2, intervention services will be pilot-tested for 6 months through a small sample (n=24), randomized control trial (RCT). Control participants will receive standard services available for individuals discharging from a CSU. Treatment participants will receive the mobile aftercare intervention. Qualitative and quantitative data will be collected at 2 weeks, 3 months, and 6 months post-recruitment for all study participants. Aims 1 and 2 will inform the design of a multi-site RCT to compare CSUs with and without mobile and technology-assisted aftercare (Aim 3). DISCUSSION The study will offer decision making and procedural insight into law enforcement use of CSUs as an alternative to jail and provide opportunities to inform that process. This research will provide outcome trends for those who go through standard CSU services compared to those who receive mobile and technology-assisted aftercare services. The current study will inform a larger RCT efficacy study of CSUs with and without technology-assisted aftercare services. TRIAL REGISTRATION This study was registered on ClinicalTrials.gov (reference #NCT04899934) on May 25, 2021.
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Affiliation(s)
- Carrie Pettus
- Wellbeing and Equity Innovations, PO Box 14641, Tallahassee, FL, 32317, USA.
| | - Rachel Fulmer
- Wellbeing and Equity Innovations, PO Box 14641, Tallahassee, FL, 32317, USA
| | - Shelby D Pederson
- Institute for Justice Research and Development, Florida State University, 2010 Levy Ave, Suite 3400, Tallahassee, FL, 32310, USA
| | - Jacob Eikenberry
- Colorado Mesa University, 1100 North Avenue, Grand Junction, CO, 81501-3122, USA
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Shania M, Handayani PW, Asih S. Designing High-Fidelity Mobile Health for Depression in Indonesian Adolescents Using Design Science Research: Mixed Method Approaches. JMIR Form Res 2023; 7:e48913. [PMID: 37399059 PMCID: PMC10365601 DOI: 10.2196/48913] [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: 05/11/2023] [Revised: 05/29/2023] [Accepted: 06/08/2023] [Indexed: 07/04/2023] Open
Abstract
BACKGROUND COVID-19 mitigation protocols, enacted to control the pandemic, have also been shown to have a negative impact on mental health, including the mental health of adolescents. The threat of being infected by SARS-CoV-2 and substantial changes in lifestyle, including limited social interaction due to stay-at-home orders, led to loneliness as well as depressive symptoms. However, offline psychological assistance is restricted, as psychologists are bounded by mitigation protocols. Further, not all adolescents' guardians are open to their children attending or have the means to pay for psychological service; thus, adolescents remain untreated. Having a mobile health (mHealth) app for mental health that uses monitoring, provides social networks, and delivers psychoeducation may provide a solution, especially in countries that have limited health facilities and mental health workers. OBJECTIVE This study aimed to design an mHealth app to help prevent and monitor depression in adolescents. The design of this mHealth app was carried out as a high-fidelity prototype. METHODS We used a design science research (DSR) methodology with 3 iterations and 8 golden rule guidelines. The first iteration used interviews, and the second and third iterations used mixed method approaches. The DSR stages include the following: (1) identify the problem; (2) define the solution; (3) define the solution objective; (4) develop, demonstrate, and evaluate the solution; and (5) communicate the solution. This study involved students and medical experts. RESULTS The first iteration resulted in a wireframe and prototype for the next iteration. The second iteration resulted in a System Usability Scale score of 67.27, indicating a good fit. In the third iteration, the system usefulness, information quality, interface quality, and overall values were 2.416, 2.341, 2.597, and 2.261, respectively, indicating a good design. Key features of this mHealth app include a mood tracker, community, activity target, and meditation, and supporting features that complement the design include education articles and early detection features. CONCLUSIONS Our findings provide guidance for health facilities and to design and implement future mHealth apps to help treat adolescent depression.
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Affiliation(s)
- Mila Shania
- Faculty of Psychology, University of Indonesia, Depok, Indonesia
| | | | - Sali Asih
- Faculty of Psychology, University of Indonesia, Depok, Indonesia
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Meyerhoff J, Kruzan KP, Kim KYA, Van Orden K, Mohr DC. Exploring the Safety of a General Digital Mental Health Intervention to Effect Symptom Reduction among Individuals with and without Suicidal Ideation: A Secondary Analysis. Arch Suicide Res 2023; 27:966-983. [PMID: 35822235 PMCID: PMC9834433 DOI: 10.1080/13811118.2022.2096520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
Trials of digital mental health interventions (DMHIs) often exclude individuals with suicide-related thoughts and behaviors precluding an understanding of whether DMHIs for affective disorders are safe for, and perform similarly within, this high-risk group. We explore the safety and performance of a DMHI for depression in participants with and without suicidal ideation (SI) at baseline. Three hundred and one participants were included in this secondary data analysis from a trial of an 8-week DMHI comprising 14 smartphone apps. We found that SI decreased across the study among participants with baseline SI and that baseline SI status did not attenuate depression treatment effects. Through a case study of the IntelliCare platform, we find that DMHIs for general affective disorders can be safe.
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Affiliation(s)
- Jonah Meyerhoff
- Feinberg School of Medicine, Northwestern University, Department of Preventive Medicine, Center for Behavioral Intervention Technologies (CBITs), 750 North Lake Shore Drive, 10 Floor, Chicago, IL 60611
| | - Kaylee P. Kruzan
- Feinberg School of Medicine, Northwestern University, Department of Preventive Medicine, Center for Behavioral Intervention Technologies (CBITs), 750 North Lake Shore Drive, 10 Floor, Chicago, IL 60611
| | - Kwang-Youn A. Kim
- Feinberg School of Medicine, Northwestern University, Department of Preventive Medicine, 750 North Lake Shore Drive, 10 Floor, Chicago, IL 60611
| | - Kimberly Van Orden
- University of Rochester Medical Center, Department of Psychiatry, 300 Crittenden Blvd. Rochester, NY 14642
| | - David C. Mohr
- Feinberg School of Medicine, Northwestern University, Department of Preventive Medicine, Center for Behavioral Intervention Technologies (CBITs), 750 North Lake Shore Drive, 10 Floor, Chicago, IL 60611
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28
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Smith EG, Grigorian HL. A System for Rapidly Yet Rigorously Evaluating the Quality of Randomized Controlled Trials. J Clin Psychopharmacol 2023; 43:306-312. [PMID: 37378832 DOI: 10.1097/jcp.0000000000001724] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/29/2023]
Abstract
ABSTRACT This tutorial describes a system for rapidly yet rigorously assessing the quality of randomized controlled trials (RCTs). The system has 7 criteria, represented by the acronym "BIS FOES." The BIS FOES system directs readers to assess RCTs based on the following 7 criteria: the RCT's use (or not) of effective (1) Blinding; the RCT's use (or not) of (2) Intent-to-Treat Analysis; the RCT's (3) Size and other information reflecting the effectiveness of randomization; the amount of sample lost during (4) Follow-up; the (5) Outcomes examined by the RCT (specifically, the outcome measures used by the RCT), the (6) Effects reported (ie, the statistical and clinical significance of the RCT's primary, secondary, and safety findings), and any (7) Special Considerations (ie, additional strengths, limitations, or notable features of the RCT). The first 6 criteria are of basic importance to the assessment of every RCT, whereas the Special Considerations criteria allows the system to be expanded to include virtually any other important aspect of the RCT. This tutorial explains the importance of these criteria and how to assess them. This tutorial also describes how many BIS FOES criteria can be initially assessed from the RCT Abstract while also directing readers to specific locations in the RCT article where additional important information can be found. We hope that the BIS FOES system will help healthcare trainees, but also potentially clinicians, researchers, and the general public, rapidly and thoroughly assess RCTs.
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O'Connor EA, Henninger ML, Perdue LA, Coppola EL, Thomas RG, Gaynes BN. Anxiety Screening: Evidence Report and Systematic Review for the US Preventive Services Task Force. JAMA 2023; 329:2171-2184. [PMID: 37338868 DOI: 10.1001/jama.2023.6369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/21/2023]
Abstract
Importance Anxiety is commonly seen in primary care and associated with substantial burden. Objective To review the benefits and harms of screening and treatment for anxiety and the accuracy of instruments to detect anxiety among primary care patients. Data Sources MEDLINE, PsychINFO, Cochrane library through September 7, 2022; references of existing reviews; ongoing surveillance for relevant literature through November 25, 2022. Study Selection English-language original studies and systematic reviews of screening or treatment compared with control conditions and test accuracy studies of a priori-selected screening instruments were included. Two investigators independently reviewed abstracts and full-text articles for inclusion. Two investigators independently rated study quality. Data Extraction and Synthesis One investigator abstracted data; a second checked accuracy. Meta-analysis results were included from existing systematic reviews where available; meta-analyses were conducted on original research when evidence was sufficient. Main Outcomes and Measures Anxiety and depression outcomes; global quality of life and functioning; sensitivity and specificity of screening tools. Results Of the 59 publications included, 40 were original studies (N = 275 489) and 19 were systematic reviews (including ≈483 studies [N≈81 507]). Two screening studies found no benefit for screening for anxiety. Among test accuracy studies, only the Generalized Anxiety Disorder (GAD) GAD-2 and GAD-7 screening instruments were evaluated by more than 1 study. Both screening instruments had adequate accuracy for detecting generalized anxiety disorder (eg, across 3 studies the GAD-7 at a cutoff of 10 had a pooled sensitivity of 0.79 [95% CI, 0.69 to 0.94] and specificity of 0.89 [95% CI, 0.83 to 0.94]). Evidence was limited for other instruments and other anxiety disorders. A large body of evidence supported the benefit of treatment for anxiety. For example, psychological interventions were associated with a small pooled standardized mean difference of -0.41 in anxiety symptom severity in primary care patients with anxiety (95% CI, -0.58 to -0.23]; 10 RCTs [n = 2075]; I2 = 40.2%); larger effects were found in general adult populations. Conclusions and Relevance Evidence was insufficient to draw conclusions about the benefits or harms of anxiety screening programs. However, clear evidence exists that treatment for anxiety is beneficial, and more limited evidence indicates that some anxiety screening instruments have acceptable accuracy to detect generalized anxiety disorder.
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Affiliation(s)
- Elizabeth A O'Connor
- Kaiser Permanente Evidence-based Practice Center, Kaiser Permanente Center for Health Research, Portland, Oregon
| | - Michelle L Henninger
- Kaiser Permanente Evidence-based Practice Center, Kaiser Permanente Center for Health Research, Portland, Oregon
| | - Leslie A Perdue
- Kaiser Permanente Evidence-based Practice Center, Kaiser Permanente Center for Health Research, Portland, Oregon
| | - Erin L Coppola
- Kaiser Permanente Evidence-based Practice Center, Kaiser Permanente Center for Health Research, Portland, Oregon
| | - Rachel G Thomas
- Kaiser Permanente Evidence-based Practice Center, Kaiser Permanente Center for Health Research, Portland, Oregon
| | - Bradley N Gaynes
- Gillings School of Global Public Health, University of North Carolina School of Medicine, Chapel Hill
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Kulikov VN, Crosthwaite PC, Hall SA, Flannery JE, Strauss GS, Vierra EM, Koepsell XL, Lake JI, Padmanabhan A. A CBT-based mobile intervention as an adjunct treatment for adolescents with symptoms of depression: a virtual randomized controlled feasibility trial. Front Digit Health 2023; 5:1062471. [PMID: 37323125 PMCID: PMC10262850 DOI: 10.3389/fdgth.2023.1062471] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 04/27/2023] [Indexed: 06/17/2023] Open
Abstract
Background High rates of adolescent depression demand for more effective, accessible treatment options. A virtual randomized controlled trial was used to assess the feasibility and acceptability of a 5-week, self-guided, cognitive behavioral therapy (CBT)-based mobile application, Spark, compared to a psychoeducational mobile application (Active Control) as an adjunct treatment for adolescents with depression during the COVID-19 pandemic. Methods A community sample aged 13-21, with self-reported symptoms of depression, was recruited nationwide. Participants were randomly assigned to use either Spark or Active Control (NSpark = 35; NActive Control = 25). Questionnaires, including the PHQ-8 measuring depression symptoms, completed before, during, and immediately following completion of the intervention, evaluated depressive symptoms, usability, engagement, and participant safety. App engagement data were also analyzed. Results 60 eligible adolescents (female = 47) were enrolled in 2 months. 35.6% of those expressing interest were consented and all enrolled. Study retention was high (85%). Spark users rated the app as usable (System Usability Scalemean = 80.67) and engaging (User Engagement Scale-Short Formmean = 3.62). Median daily use was 29%, and 23% completed all levels. There was a significant negative relationship between behavioral activations completed and change in PHQ-8. Efficacy analyses revealed a significant main effect of time, F = 40.60, p < .001, associated with decreased PHQ-8 scores over time. There was no significant Group × Time interaction (F = 0.13, p = .72) though the numeric decrease in PHQ-8 was greater for Spark (4.69 vs. 3.56). No serious adverse events or adverse device effects were reported for Spark users. Two serious adverse events reported in the Active Control group were addressed per our safety protocol. Conclusion Recruitment, enrollment, and retention rates demonstrated study feasibility by being comparable or better than other mental health apps. Spark was highly acceptable relative to published norms. The study's novel safety protocol efficiently detected and managed adverse events. The lack of significant difference in depression symptom reduction between Spark and Active Control may be explained by study design and study design factors. Procedures established during this feasibility study will be leveraged for subsequent powered clinical trials evaluating app efficacy and safety. Clinical Trial Registration https://clinicaltrials.gov/ct2/show/NCT04524598.
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Affiliation(s)
- Vera N. Kulikov
- Research Department, Limbix Health, San Francisco, CA, United States
| | | | - Shana A. Hall
- Research Department, Limbix Health, San Francisco, CA, United States
| | | | | | - Elise M. Vierra
- Content Department, Limbix Health, San Francisco, CA, United States
| | - Xin L. Koepsell
- Content Department, Limbix Health, San Francisco, CA, United States
| | - Jessica I. Lake
- Science Department, Limbix Health, San Francisco, CA, United States
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Quirk HD, Nagar R, Anderson PL. A qualitative exploration of college students' experiences using mobile apps to improve self-care during the COVID-19 pandemic. JOURNAL OF AMERICAN COLLEGE HEALTH : J OF ACH 2023:1-9. [PMID: 37053590 DOI: 10.1080/07448481.2023.2198033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Revised: 02/09/2023] [Accepted: 03/19/2023] [Indexed: 06/19/2023]
Abstract
Objective: This project examines students' experiences using a mental health mobile application (app) as part of a class assignment developed to support student well-being. Participants: Data was collected from 265 undergraduate students enrolled in a psychology course during the COVID-19 pandemic. Methods: Students developed a self-care goal and used an app to support progress toward it. Thematic analysis was applied to students' written reflections about their experiences using the app and practicing self-care. Results: Students reported using an app for self-care was 1) more helpful than expected for improving focus, productivity, motivation, sleep, and mental health symptoms; 2) challenging due to loss of interest, slow improvement, difficulty integrating into routine, or negative feelings triggered; and 3) influenced by the pandemic and transition to remote learning. Conclusions: A classroom assignment designed to promote self-care using a mental health app shows promise. Future research is needed to better understand engagement and impact.
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Affiliation(s)
| | - Ria Nagar
- Psychology, Georgia State University, Atlanta, Georgia, USA
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32
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Kruzan KP, Ng A, Stiles-Shields C, Lattie EG, Mohr DC, Reddy M. The Perceived Utility of Smartphone and Wearable Sensor Data in Digital Self-tracking Technologies for Mental Health. PROCEEDINGS OF THE SIGCHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS. CHI CONFERENCE 2023; 2023:88. [PMID: 38873656 PMCID: PMC11174977 DOI: 10.1145/3544548.3581209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2024]
Abstract
Mental health symptoms are commonly discovered in primary care. Yet, these settings are not set up to provide psychological treatment. Digital interventions can play a crucial role in stepped care management of patients' symptoms where patients are offered a low intensity intervention, and treatment evolves to incorporate providers if needed. Though digital interventions often use smartphone and wearable sensor data, little is known about patients' desires to use these data to manage mental health symptoms. In 10 interviews with patients with symptoms of depression and anxiety, we explored their: symptom self-management, current and desired use of sensor data, and comfort sharing such data with providers. Findings support the use digital interventions to manage mental health, yet they also highlight a misalignment in patient needs and current efforts to use sensors. We outline considerations for future research, including extending design thinking to wraparound services that may be necessary to truly reduce healthcare burden.
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Affiliation(s)
| | - Ada Ng
- Northwestern University, Illinois, USA
| | | | | | | | - Madhu Reddy
- University of California Irvine, Irvine, USA
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33
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Gual-Montolio P, Suso-Ribera C, García-Palacios A, Castilla D, Zaragoza I, Bretón-López J. Enhancing Internet-based psychotherapy for adults with emotional disorders using ecological momentary assessments and interventions: Study protocol of a feasibility trial with "My EMI, Emotional Well-being" app. Internet Interv 2023; 31:100601. [PMID: 36686334 PMCID: PMC9852876 DOI: 10.1016/j.invent.2023.100601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 12/20/2022] [Accepted: 01/04/2023] [Indexed: 01/07/2023] Open
Abstract
INTRODUCTION Emotional disorders are the most frequent mental health problems globally. To ensure the dissemination of psychological treatments for these conditions, novel forms of delivery (e.g., Internet or mobile apps) and more scalable forms of psychotherapy (e.g., transdiagnostic interventions) have become increasingly popular. Research, however, shows that a significant number of patients, around 40 % according to some studies, do not respond to the interventions as expected (i.e., not-on-track patients). Ecological momentary assessments (EMAs) and ecological momentary interventions (EMIs) could simplify tailoring treatments to the patients' progress and rapidly respond to undesired outcomes during psychotherapy. Therefore, these would facilitate measurement-based care with little therapist involvement. This study aims to explore the feasibility of an app-based system called My EMI, Emotional Well-being for people with emotional disorders. According to daily EMAs, the app will provide personalized EMIs while participants receive a self-applied online transdiagnostic treatment. The app will be used as an add-tool to the online intervention to address emotion dysregulation, foster adherence, and reinforce contents. The current study describes the study protocol for this trial. METHOD AND ANALYSIS A single-group, open trial design will be used. Participants will be 30 adults suffering from emotional disorders. Primary outcomes will be app usability, acceptability, and response rates. Secondary outcomes will be either evaluated in Qualtrics at pre-treatment, post-treatment, and 3-month follow-up (depression and anxiety severity, and transdiagnostic dimensions of emotional disorders) or daily throughout the study with the app (EMAs of mood and five transdiagnostic mechanisms of therapeutic change). EMIs will consist of brief, evidence-based transdiagnostic CBT digital content (images, infographics, or videos) delivered just-in-time. Only if problems persist, short phone calls or episodic videocalls will be conducted. The Ethics Committee of the Jaume I University approved the study and all its procedures (CD/111/2021) in December 2021. DISCUSSION Identifying personalized and scalable interventions is paramount to improve mental health care, especially its accessibility, and to reduce the psychological distress of people with mental health problems. Feasibility data of the app (EMA and EMI system) supported by a self-applied online transdiagnostic intervention will be important to explore whether this modern approach is a real option to move forward personalized psychological interventions for persons with emotional disorders. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT05109780. Registered 05 November 2021, https://clinicaltrials.gov/ct2/show/NCT05109780.
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Affiliation(s)
- Patricia Gual-Montolio
- Department of Basic and Clinical Psychology and Psychobiology, Jaume I University, Avda. Vicent Sos Baynat s/n, 12071 Castellon de la Plana, Spain
| | - Carlos Suso-Ribera
- Department of Basic and Clinical Psychology and Psychobiology, Jaume I University, Avda. Vicent Sos Baynat s/n, 12071 Castellon de la Plana, Spain,CIBER Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto Salud Carlos III, Madrid, Spain,Corresponding author at: Department of Basic and Clinical Psychology and Psychobiology, Jaume I University, Avda. Vicent Sos Baynat s/n, 12071 Castellon de la Plana, Spain.
| | - Azucena García-Palacios
- Department of Basic and Clinical Psychology and Psychobiology, Jaume I University, Avda. Vicent Sos Baynat s/n, 12071 Castellon de la Plana, Spain,CIBER Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto Salud Carlos III, Madrid, Spain
| | - Diana Castilla
- Department of Personality, Assessment, and Psychological Treatments, Universidad de Valencia, 46010 Valencia, Spain,CIBER Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto Salud Carlos III, Madrid, Spain
| | - Irene Zaragoza
- Department of Personality, Assessment, and Psychological Treatments, Universidad de Valencia, 46010 Valencia, Spain,CIBER Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto Salud Carlos III, Madrid, Spain
| | - Juana Bretón-López
- Department of Basic and Clinical Psychology and Psychobiology, Jaume I University, Avda. Vicent Sos Baynat s/n, 12071 Castellon de la Plana, Spain,CIBER Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto Salud Carlos III, Madrid, Spain
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Leung T, Yang T, Xiao L, Xu C, Zhu C. Effects of Mobile Mindfulness Meditation on the Mental Health of University Students: Systematic Review and Meta-analysis. J Med Internet Res 2023; 25:e39128. [PMID: 36596239 PMCID: PMC9856434 DOI: 10.2196/39128] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 08/17/2022] [Accepted: 09/05/2022] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND Mobile mindfulness meditation (MMM) is a mindfulness meditation intervention implemented using mobile devices such as smartphones and apps. MMM has been used to help manage the mental health of university students. OBJECTIVE This study aims to evaluate the effectiveness of MMM on the mental health of university students in the areas of stress, anxiety, depression, mindfulness, well-being, and resilience. METHODS We conducted a systematic review and meta-analysis of the effectiveness of MMM on the mental health of university students. This study followed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. An electronic literature search was performed on PubMed, Web of Science, EBSCO, Cochrane Library, and Embase databases, from inception to July 16, 2021. This study was conducted to identify studies that reported the effects of MMM on the primary outcomes including stress, anxiety, and depression, and on the secondary outcomes including mindfulness, well-being, and resilience. Two reviewers retrieved articles, evaluated quality, and extracted data independently. The methodological quality of the selected studies was determined using the Cochrane criteria for risk-of-bias assessment. Standardized mean differences (SMDs) for continuous outcomes and risk ratios for dichotomous outcomes were calculated. Sensitivity analyses and subgroup analyses were performed for results with high heterogeneity. The RevMan version 5.3 was used to perform meta-analysis. RESULTS A total of 10 studies, including 958 university students, were selected for this meta-analysis. Results of the primary outcome showed that the MMM groups were more effective than the control groups in decreasing stress (SMD -0.41, 95% CI -0.59 to -0.23; P<.001) and alleviating anxiety (SMD -0.29, 95% CI -0.50 to -0.09; P=.004). However, there was no difference between the MMM groups and the control groups in depression (SMD -0.14, 95% CI -0.30 to 0.03; P=.11). The use of either waitlist control or traditional face-to-face intervention in the control group was identified as the source of heterogeneity. Specifically, the waitlist control subgroup (SMD -0.33, 95% CI -0.53 to -0.13; P=.002) was superior when compared with the face-to-face subgroup (SMD 0.29, 95% CI -0.01 to 0.59; P=.06). Results of the secondary outcome showed that the MMM groups were more effective than the control groups in enhancing well-being (SMD 0.30, 95% CI 0.11-0.50; P=.003) and improving mindfulness (SMD 2.66, 95% CI 0.77-4.55; P=.006). Whether commercial sponsorship was obtained was considered as the source of heterogeneity. The "without company support" group (SMD 17.60, 95% CI 11.32-23.87; P<.001) was superior to the "with company support" group (SMD 1.17, 95% CI -0.82 to 3.15; P=.25) in raising the level of mindfulness. However, there was no difference between the MMM and control groups in resilience (SMD -0.06, 95% CI -0.26 to 0.15; P=.59). The evidence level of the results from the 10 studies was determined to be moderate to low. CONCLUSIONS MMM was an effective method to reduce stress and anxiety, and to increase the well-being and mindfulness of university students. However, further studies are needed to confirm our findings. TRIAL REGISTRATION PROSPERO International Prospective Register of Systematic Reviews CRD42022303585; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=303585.
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Affiliation(s)
| | - Ting Yang
- Department of Nursing, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
| | - Lei Xiao
- Department of Nursing, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
| | - Changxia Xu
- Department of Nursing, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
| | - Chunqin Zhu
- Department of Nursing, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
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Anmella G, Sanabra M, Primé-Tous M, Segú X, Solanes A, Ruíz V, Morilla I, Also Fontanet A, Sant E, Murgui S, Sans-Corrales M, Martínez-Aran A, Fico G, De Prisco M, Oliva V, Murru A, Zahn R, Young AH, Vicens V, Viñas-Bardolet C, Aparicio-Nogué V, Martínez-Cerdá JF, Mas A, Carreras B, Blanch J, Radua J, Fullana MA, Cavero M, Vieta E, Hidalgo-Mazzei D. Antidepressants overuse in primary care: Prescription trends between 2010 and 2019 in Catalonia. REVISTA DE PSIQUIATRIA Y SALUD MENTAL 2022:S1888-9891(22)00137-9. [PMID: 37758595 DOI: 10.1016/j.rpsm.2022.12.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 11/17/2022] [Accepted: 12/04/2022] [Indexed: 12/15/2022]
Abstract
INTRODUCTION There has been an increase in the prescription of antidepressants (AD) in primary care (PC). However, it is unclear whether this was explained by a rise in diagnoses with an indication for AD. We investigated the changes in frequency and the variables associated with AD prescription in Catalonia, Spain. METHODS We retrieved AD prescription, sociodemographic, and health-related data using individual electronic health records from a population-representative sample (N=947.698) attending PC between 2010 and 2019. Prescription of AD was calculated using DHD (Defined Daily Doses per 1000 inhabitants/day). We compared cumulative changes in DHD with cumulative changes in diagnoses with an indication for AD during the study period. We used Poisson regression to examine sociodemographic and health-related variables associated with AD prescription. RESULTS Both AD prescription and mental health diagnoses with an indication for AD gradually increased. At the end of the study period, DHD of AD prescriptions and mental health diagnoses with an indication for AD reached cumulative increases of 404% and 49% respectively. Female sex (incidence rate ratio (IRR)=2.83), older age (IRR=25.43), and lower socio-economic status (IRR=1.35) were significantly associated with increased risk of being prescribed an AD. CONCLUSIONS Our results from a large and representative cohort of patients confirm a steady increase of AD prescriptions that is not explained by a parallel increase in mental health diagnoses with an indication for AD. A trend on AD off-label and over-prescriptions in the PC system in Catalonia can be inferred from this dissociation.
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Affiliation(s)
- Gerard Anmella
- Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clínic de Barcelona, Barcelona, Spain; Bipolar and Depressive Disorders Unit, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; University of Barcelona, Barcelona, Spain; Mental Health Research Networking Center (CIBERSAM), Madrid, Spain
| | - Miriam Sanabra
- Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clínic de Barcelona, Barcelona, Spain; Bipolar and Depressive Disorders Unit, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Mireia Primé-Tous
- Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Xavier Segú
- Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Aleix Solanes
- Mental Health Research Networking Center (CIBERSAM), Madrid, Spain; Imaging of Mood- and Anxiety-Related Disorders (IMARD) Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Victoria Ruíz
- Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Ivette Morilla
- Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Antonieta Also Fontanet
- CAP Casanova, Consorci d'Atenció Primaria de Salut Barcelona Esquerra (CAPSBE), Barcelona, Spain
| | - Elisenda Sant
- CAP Casanova, Consorci d'Atenció Primaria de Salut Barcelona Esquerra (CAPSBE), Barcelona, Spain
| | - Sandra Murgui
- CAP Comte Borrell, Consorci d'Atenció Primaria de Salut Barcelona Esquerra (CAPSBE), Barcelona, Spain
| | - Mireia Sans-Corrales
- CAP Comte Borrell, Consorci d'Atenció Primaria de Salut Barcelona Esquerra (CAPSBE), Barcelona, Spain
| | - Anabel Martínez-Aran
- Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clínic de Barcelona, Barcelona, Spain; Bipolar and Depressive Disorders Unit, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; University of Barcelona, Barcelona, Spain; Mental Health Research Networking Center (CIBERSAM), Madrid, Spain
| | - Giovanna Fico
- Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clínic de Barcelona, Barcelona, Spain; Bipolar and Depressive Disorders Unit, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; University of Barcelona, Barcelona, Spain; Mental Health Research Networking Center (CIBERSAM), Madrid, Spain
| | - Michele De Prisco
- Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clínic de Barcelona, Barcelona, Spain; Bipolar and Depressive Disorders Unit, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; University of Barcelona, Barcelona, Spain; Mental Health Research Networking Center (CIBERSAM), Madrid, Spain
| | - Vincenzo Oliva
- Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clínic de Barcelona, Barcelona, Spain; Bipolar and Depressive Disorders Unit, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; University of Barcelona, Barcelona, Spain; Mental Health Research Networking Center (CIBERSAM), Madrid, Spain
| | - Andrea Murru
- Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clínic de Barcelona, Barcelona, Spain; Bipolar and Depressive Disorders Unit, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; University of Barcelona, Barcelona, Spain; Mental Health Research Networking Center (CIBERSAM), Madrid, Spain
| | - Roland Zahn
- Centre for Affective Disorders, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Allan H Young
- Centre for Affective Disorders, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | | | - Clara Viñas-Bardolet
- Data Analytics Programme for Health Research and Innovation (PADRIS), Catalan Agency for Health Quality and Evaluation (AQuAS), Barcelona, Spain
| | - Vicenç Aparicio-Nogué
- Data Analytics Programme for Health Research and Innovation (PADRIS), Catalan Agency for Health Quality and Evaluation (AQuAS), Barcelona, Spain
| | - Juan Francisco Martínez-Cerdá
- Data Analytics Programme for Health Research and Innovation (PADRIS), Catalan Agency for Health Quality and Evaluation (AQuAS), Barcelona, Spain
| | - Ariadna Mas
- Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clínic de Barcelona, Barcelona, Spain; Bipolar and Depressive Disorders Unit, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Bernat Carreras
- Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Jordi Blanch
- Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clínic de Barcelona, Barcelona, Spain; University of Barcelona, Barcelona, Spain; Abi Global Health, Spain; Mental Health and Addiction Programme, Department of Health, Generalitat de Catalunya, Barcelona, Spain; President of the European Association of Psychosomatic Medicine, Spain
| | - Joaquim Radua
- Mental Health Research Networking Center (CIBERSAM), Madrid, Spain; Imaging of Mood- and Anxiety-Related Disorders (IMARD) Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom; Centre for Psychiatric Research and Education, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Miquel A Fullana
- Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clínic de Barcelona, Barcelona, Spain; Mental Health Research Networking Center (CIBERSAM), Madrid, Spain; Imaging of Mood- and Anxiety-Related Disorders (IMARD) Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Myriam Cavero
- Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clínic de Barcelona, Barcelona, Spain; University of Barcelona, Barcelona, Spain; Mental Health Research Networking Center (CIBERSAM), Madrid, Spain
| | - Eduard Vieta
- Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clínic de Barcelona, Barcelona, Spain; Bipolar and Depressive Disorders Unit, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; University of Barcelona, Barcelona, Spain; Mental Health Research Networking Center (CIBERSAM), Madrid, Spain
| | - Diego Hidalgo-Mazzei
- Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clínic de Barcelona, Barcelona, Spain; Bipolar and Depressive Disorders Unit, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; University of Barcelona, Barcelona, Spain; Mental Health Research Networking Center (CIBERSAM), Madrid, Spain; Centre for Affective Disorders, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom.
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Comtois KA, Mata-Greve F, Johnson M, Pullmann MD, Mosser B, Arean P. Effectiveness of Mental Health Apps for Distress During COVID-19 in US Unemployed and Essential Workers: Remote Pragmatic Randomized Clinical Trial. JMIR Mhealth Uhealth 2022; 10:e41689. [PMID: 36191176 PMCID: PMC9642829 DOI: 10.2196/41689] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 09/15/2022] [Accepted: 09/30/2022] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND During the COVID-19 pandemic, the general public was concerned about the mental health impacts of unemployment due to COVID-19 and the stress essential workers experienced during this time. Several reports indicated that people in distress were turning to digital technology, but there was little evidence about the impact of these tools on mitigating distress. OBJECTIVE This study seeks to determine the acceptability, feasibility, usability, and effectiveness of mobile mental health apps for decreasing mental health symptoms in essential workers and unemployed individuals with suicide risk. METHODS We recruited participants who indicated that they were unemployed because of COVID-19 or were COVID-19-designated essential workers. Participants were randomized to 1 of 4 free commercial mobile apps for managing distress that were (1) highly rated by PsyberGuide and (2) met the criteria for intervention features these participants indicated were desirable in a previous survey. Participants used the apps for 4 weeks and completed baseline and 4-week self-assessments of depression, anxiety emotional regulation, and suicide risk. RESULTS We found no differences between the apps in any outcome but did find significant changes in depression and anxiety over time (Patient Health Questionnaire [PHQ]-9: estimate=-1.5, SE 0.2, 95% CI -1.1 to -1.8, P<.001; Generalized Anxiety Disorder Scale [GAD]-7: estimate=-1.3, SE 0.2, 95% CI -1.0 to -1.6, P<.001). We found no significant changes in suicidal behavior (Suicide Behaviors Questionnaire-Revised [SBQ-R]) or emotional regulation (Difficulties in Emotion Regulation Scale - Short Form [DERS-SF]) for the 4 weeks. We did find a significant dose-response pattern for changes in depression and anxiety. Using the app at least once a week resulted in greater improvements in treatment conditions over time on depression (estimate=-0.6, SE 0.2, 95% CI 1.0-0.2, P=.003) and anxiety (estimate=0.1, SE 0.2, 95% CI 0.4-0.6, P=.78). There was no association between app frequency and changes in suicidal behavior (SBQ-R) or emotional regulation (DERS-SF). We further found a significant difference between the conditions with regard to app usability, with the control app being the most usable (meanBeautiful Mood 72.9, SD 16.7; meanCOVID Coach 71.2, SD 15.4; meanCalm 66.8, SD 17.3; mean7 Cups 65.2, SD 17.7). We found no significant differences for app acceptability or appropriateness. CONCLUSIONS Few studies have evaluated prospectively the utility and usability of commercial apps for mood. This study found that free, self-guided commercial mobile mental health apps are seen as usable, but no one app is superior to the other. Although we found that regular use is indicated for effects on depression and anxiety to occur in those who are more symptomatic, regression to the mean cannot be ruled out. TRIAL REGISTRATION ClinicalTrials.gov NCT04536935; https://tinyurl.com/mr36zx3s.
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Affiliation(s)
- Katherine Anne Comtois
- Advanced Laboratories for Accelerating the Reach and Impact of Treatments for Youth and Adults with Mental Illness, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States
| | - Felicia Mata-Greve
- Advanced Laboratories for Accelerating the Reach and Impact of Treatments for Youth and Adults with Mental Illness, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States
| | - Morgan Johnson
- Advanced Laboratories for Accelerating the Reach and Impact of Treatments for Youth and Adults with Mental Illness, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States
| | - Michael D Pullmann
- Advanced Laboratories for Accelerating the Reach and Impact of Treatments for Youth and Adults with Mental Illness, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States
| | - Brittany Mosser
- Advanced Laboratories for Accelerating the Reach and Impact of Treatments for Youth and Adults with Mental Illness, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States
- Conducting Research to Enhance Assessment and Treatment Through Innovation in Mental Health Lab, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States
| | - Patricia Arean
- Advanced Laboratories for Accelerating the Reach and Impact of Treatments for Youth and Adults with Mental Illness, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States
- Conducting Research to Enhance Assessment and Treatment Through Innovation in Mental Health Lab, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States
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McCue M, Blair C, Fehnert B, King J, Cormack F, Sarkey S, Eramo A, Kabir C, Khatib R, Kemp D. Mobile App to Enhance Patient Activation and Patient-Provider Communication in Major Depressive Disorder Management: Collaborative, Randomized Controlled Pilot Study. JMIR Form Res 2022; 6:e34923. [PMID: 36301599 PMCID: PMC9650572 DOI: 10.2196/34923] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Revised: 06/21/2022] [Accepted: 06/27/2022] [Indexed: 06/16/2023] Open
Abstract
BACKGROUND Enhanced patient-provider engagement can improve patient health outcomes in chronic conditions, including major depressive disorder (MDD). OBJECTIVE We evaluated the impact of a digitally enabled care mobile app, Pathway, designed to improve MDD patient-provider engagement. Patients used a mobile interface to assess treatment progress and share this information with primary care providers (PCPs). METHODS In this 52-week, real-world effectiveness and feasibility study conducted in primary care clinics, 40 patients with MDD who were recently prescribed antidepressant monotherapy were randomized to use a mobile app with usual care (20/40, 50%) or usual care alone (20/40, 50%). Patients in the app arm engaged with the app daily for 18 weeks; a report was generated at 6-week intervals and shared with the PCPs to facilitate shared treatment decision-making discussions. The patients discontinued the app at week 18 and were followed through year 1. Coprimary outcome measures, assessed via research visits, included change from baseline in the 13-item Patient Activation Measure (PAM-13) and 7-item Patient-Provider Engagement Scale scores at week 18. Additional outcome measures included depression severity (9-item Patient Health Questionnaire [PHQ-9]) and cognitive symptoms (5-item Perceived Deficits Questionnaire-Depression). RESULTS All 37 patients (app arm: n=18, 49%; usual care arm: n=19, 51%) who completed the 18-week follow-up period (n=31, 84% female, mean age 36, SD 11.3 years) had moderate to moderately severe depression. Improvements in PAM-13 and PHQ-9 scores were observed in both arms. Increases in PAM-13 scores from baseline to 18 weeks were numerically greater in the app arm than in the usual care arm (mean 10.5, SD 13.2 vs mean 8.8, SD 9.4; P=.65). At 52 weeks, differences in PAM-13 scores from baseline demonstrated significantly greater improvements in the app arm than in the usual care arm (mean 20.2, SD 17.7 vs mean 1.6, SD 14.2; P=.04). Compared with baseline, PHQ-9 scores decreased in both the app arm and the usual care arm at 18 weeks (mean 7.8, SD 7.2 vs mean 7.0, SD 6.5; P=.73) and 52 weeks (mean 9.5, SD 4.0 vs mean 4.7, SD 6.0; P=.07). Improvements in 7-item Patient-Provider Engagement Scale and WHO-5 scores were observed in both arms at 18 weeks and were sustained through 52 weeks in the app arm. Improvements in WHO-5 scores at 52 weeks were significantly greater in the app arm than in the usual care arm (41.5 vs 20.0; P=.02). CONCLUSIONS Patients with MDD will engage with a mobile app designed to track treatment and disease progression. PCPs will use the data generated as part of their assessment to inform clinical care. The study results suggest that an app-enabled clinical care pathway may enhance patient activation and benefit MDD management. TRIAL REGISTRATION ClinicalTrials.gov NCT03242213; https://clinicaltrials.gov/ct2/show/NCT03242213.
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Affiliation(s)
- Maggie McCue
- Takeda Pharmaceuticals USA, Inc, Lexington, MA, United States
| | | | - Ben Fehnert
- Cognition Kit, Cambridge, United Kingdom
- Ctrl Group, London, United Kingdom
| | - James King
- Cognition Kit, Cambridge, United Kingdom
- Ctrl Group, London, United Kingdom
| | - Francesca Cormack
- Cognition Kit, Cambridge, United Kingdom
- Cambridge Cognition, Cambridge, United Kingdom
| | - Sara Sarkey
- Takeda Pharmaceuticals USA, Inc, Lexington, MA, United States
| | - Anna Eramo
- Lundbeck LLC, Deerfield, IL, United States
| | - Christopher Kabir
- Advocate Research Institute, Advocate Health Care, Downers Grove, IL, United States
| | - Rasha Khatib
- Advocate Research Institute, Advocate Health Care, Downers Grove, IL, United States
| | - David Kemp
- Advocate Aurora Health, Downers Grove, IL, United States
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Kazazian K, Ng D, Swallow CJ. Impact of the coronavirus disease 2019 pandemic on delivery of and models for supportive and palliative care for oncology patients. Curr Opin Support Palliat Care 2022; 16:130-137. [PMID: 35862890 PMCID: PMC9451606 DOI: 10.1097/spc.0000000000000606] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
PURPOSE OF REVIEW Supportive and palliative care services have been an important component of the overall COVID-19 pandemic response. However, significant changes in the provision and models of care were needed in order to optimize the care delivered to vulnerable cancer patients. This review discusses the evolution of palliative and supportive care service in response to the pandemic, and highlights remaining challenges. RECENT FINDINGS Direct competition for resources, as well as widespread implementation of safety measures resulted in major shifts in the mode of assessment and communication with cancer patients by supportive care teams. Telemedicine/virtual consultation and follow-up visits became an integral strategy, with high uptake and satisfaction amongst patients, families and providers. However, inequities in access to the required technologies were sometimes exposed. Hospice/palliative care unit (PCU) bed occupancy declined markedly because of restrictive visitation policies. Collection of patient-reported outcome (PRO) data was suspended in many cancer centers, with resulting under-recognition of anxiety and depression in ambulatory patients. As in many other areas, disparities in delivery of supportive and palliative care were magnified by the pandemic. SUMMARY Virtual care platforms have been widely adopted and will continue to be used to include a wider circle of family/friends and care providers in the provision of palliative and supportive care. To facilitate equitable delivery of supportive care within a pandemic, further research and resources are needed to train and support generalists and palliative care providers. Strategies to successfully collect PROs from all patients in a virtual manner must be developed and implemented.
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Affiliation(s)
- Karineh Kazazian
- Department of Surgical Oncology, Princess Margaret Hospital, University Health Network and Mount Sinai Hospital
- Division of General Surgery, Mount Sinai Hospital, Sinai Health System
- Department of Surgery, University of Toronto
| | - Deanna Ng
- Lunenfeld Tanenbaum Research Institute, Sinai Health System, Toronto, Canada
| | - Carol J. Swallow
- Department of Surgical Oncology, Princess Margaret Hospital, University Health Network and Mount Sinai Hospital
- Division of General Surgery, Mount Sinai Hospital, Sinai Health System
- Department of Surgery, University of Toronto
- Lunenfeld Tanenbaum Research Institute, Sinai Health System, Toronto, Canada
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Ramadurai R, Beckham E, McHugh RK, Björgvinsson T, Beard C. Operationalizing Engagement With an Interpretation Bias Smartphone App Intervention: Case Series. JMIR Ment Health 2022; 9:e33545. [PMID: 35976196 PMCID: PMC9434389 DOI: 10.2196/33545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2021] [Revised: 02/28/2022] [Accepted: 06/20/2022] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND Engagement with mental health smartphone apps is an understudied but critical construct to understand in the pursuit of improved efficacy. OBJECTIVE This study aimed to examine engagement as a multidimensional construct for a novel app called HabitWorks. HabitWorks delivers a personalized interpretation bias intervention and includes various strategies to enhance engagement such as human support, personalization, and self-monitoring. METHODS We examined app use in a pilot study (n=31) and identified 5 patterns of behavioral engagement: consistently low, drop-off, adherent, high diary, and superuser. RESULTS We present a series of cases (5/31, 16%) from this trial to illustrate the patterns of behavioral engagement and cognitive and affective engagement for each case. With rich participant-level data, we emphasize the diverse engagement patterns and the necessity of studying engagement as a heterogeneous and multifaceted construct. CONCLUSIONS Our thorough idiographic exploration of engagement with HabitWorks provides an example of how to operationalize engagement for other mental health apps.
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Affiliation(s)
- Ramya Ramadurai
- Department of Psychology, American University, Washington, DC, United States
| | - Erin Beckham
- Cognition and Affect Research and Education Lab, McLean Hospital, Belmont, MA, United States
| | - R Kathryn McHugh
- Division of Alcohol, Drugs, and Addiction, McLean Hospital, Harvard Medical School, Belmont, MA, United States
| | - Thröstur Björgvinsson
- Behavioral Health Partial Hospital Program, McLean Hospital, Harvard Medical School, Belmont, MA, United States
| | - Courtney Beard
- Cognition and Affect Research and Education Lab, McLean Hospital, Belmont, MA, United States
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Cotter TG, Beresford T. Treatment of Mental Health in Patients With Chronic Liver Disease. Clin Liver Dis (Hoboken) 2022; 20:57-60. [PMID: 36033423 PMCID: PMC9405486 DOI: 10.1002/cld.1200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 11/20/2021] [Accepted: 12/15/2021] [Indexed: 02/04/2023] Open
Abstract
Content available: Author Interview and Audio Recording.
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Affiliation(s)
- Thomas G. Cotter
- Division of Digestive and Liver DiseasesUT Southwestern Medical CenterDallasTX
| | - Thomas Beresford
- Laboratory for Clinical and Translational Research in PsychiatryMental Health ServiceRocky Mountain Regional VA Medical CenterAuroraCO,Department of PsychiatryUniversity of Colorado School of MedicineAuroraCO
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Werntz A, Silverman AL, Behan H, Patel SK, Beltzer M, Boukhechba MO, Barnes L, Teachman BA. Lessons Learned: Providing Supportive Accountability in an Online Anxiety Intervention. Behav Ther 2022; 53:492-507. [PMID: 35473652 PMCID: PMC9115765 DOI: 10.1016/j.beth.2021.12.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 12/06/2021] [Accepted: 12/06/2021] [Indexed: 11/27/2022]
Abstract
Technology-delivered interventions have the potential to help address the treatment gap in mental health care but are plagued by high attrition. Adding coaching, or minimal contact with a nonspecialist provider, may encourage engagement and decrease dropout, while remaining scalable. Coaching has been studied in interventions for various mental health conditions but has not yet been tested with anxious samples. This study describes the development of and reactions to a low-intensity coaching protocol administered to N = 282 anxious adults identified as high risk to drop out of a web-based cognitive bias modification for interpretation intervention. Undergraduate research assistants were trained as coaches and communicated with participants via phone calls and synchronous text messaging. About half of the sample never responded to coaches' attempts to schedule an initial phone call or did not answer the call, though about 30% completed the full intervention with their coach. Some anxious adults may choose technology-delivered interventions specifically for their lack of human contact and may fear talking to strangers on the phone; future recommendations include taking a more intensive user-centered design approach to creating and implementing a coaching protocol, allowing coaching support to be optional, and providing users with more information about how and why the intervention works.
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Mavragani A, Weingarden H, Wolfe EC, Hall MD, Snorrason I, Wilhelm S. Human Support in App-Based Cognitive Behavioral Therapies for Emotional Disorders: Scoping Review. J Med Internet Res 2022; 24:e33307. [PMID: 35394434 PMCID: PMC9034419 DOI: 10.2196/33307] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 01/18/2022] [Accepted: 01/31/2022] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Smartphone app-based therapies offer clear promise for reducing the gap in available mental health care for people at risk for or people with mental illness. To this end, as smartphone ownership has become widespread, app-based therapies have become increasingly common. However, the research on app-based therapies is lagging behind. In particular, although experts suggest that human support may be critical for increasing engagement and effectiveness, we have little systematic knowledge about the role that human support plays in app-based therapy. It is critical to address these open questions to optimally design and scale these interventions. OBJECTIVE The purpose of this study is to provide a scoping review of the use of human support or coaching in app-based cognitive behavioral therapy for emotional disorders, identify critical knowledge gaps, and offer recommendations for future research. Cognitive behavioral therapy is the most well-researched treatment for a wide range of concerns and is understood to be particularly well suited to digital implementations, given its structured, skill-based approach. METHODS We conducted systematic searches of 3 databases (PubMed, PsycINFO, and Embase). Broadly, eligible articles described a cognitive behavioral intervention delivered via smartphone app whose primary target was an emotional disorder or problem and included some level of human involvement or support (coaching). All records were reviewed by 2 authors. Information regarding the qualifications and training of coaches, stated purpose and content of the coaching, method and frequency of communication with users, and relationship between coaching and outcomes was recorded. RESULTS Of the 2940 titles returned by the searches, 64 (2.18%) were eligible for inclusion. This review found significant heterogeneity across all of the dimensions of coaching considered as well as considerable missing information in the published articles. Moreover, few studies had qualitatively or quantitatively evaluated how the level of coaching impacts treatment engagement or outcomes. Although users tend to self-report that coaching improves their engagement and outcomes, there is limited and mixed supporting quantitative evidence at present. CONCLUSIONS Digital mental health is a young but rapidly expanding field with great potential to improve the reach of evidence-based care. Researchers across the reviewed articles offered numerous approaches to encouraging and guiding users. However, with the relative infancy of these treatment approaches, this review found that the field has yet to develop standards or consensus for implementing coaching protocols, let alone those for measuring and reporting on the impact. We conclude that coaching remains a significant hole in the growing digital mental health literature and lay out recommendations for future data collection, reporting, experimentation, and analysis.
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Affiliation(s)
| | - Hilary Weingarden
- Massachusetts General Hospital, Boston, MA, United States.,Department of Psychiatry, Harvard Medical School, Boston, MA, United States
| | - Emma C Wolfe
- Massachusetts General Hospital, Boston, MA, United States
| | | | - Ivar Snorrason
- Massachusetts General Hospital, Boston, MA, United States.,Department of Psychiatry, Harvard Medical School, Boston, MA, United States
| | - Sabine Wilhelm
- Massachusetts General Hospital, Boston, MA, United States.,Department of Psychiatry, Harvard Medical School, Boston, MA, United States
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Abstract
PURPOSE OF REVIEW The purpose of this review is to provide an overview of the current scope of digital interventions for anxiety and mood disorders, with a focus on smartphone apps, for clinicians and mental healthcare providers. RECENT FINDINGS Of the 11 randomized controlled trials analyzed, 7 showed evidence that guided digital interventions (those supported by humans) were effective in improving anxiety and mood symptoms, and 3 showed evidence that unguided (those not supported by humans) interventions were effective. Psychoeducation was the most popular feature of both guided and unguided interventions. Attrition was highest (50%) in the unguided app-based intervention and lowest in the guided interventions. Many studies lacked active control groups and comparison was often made to a nondigital or waitlist control condition. SUMMARY Guided digital interventions continue to show promising results and can be used to enhance clinical care with minimal resources although more direct comparisons to existing treatments are necessary to understand their actual efficacy. Unguided self-help apps and chatbots remain promising, but more work is necessary to understand the real-world engagement and efficacy of these interventions.
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Affiliation(s)
- Tanvi Lakhtakia
- Division of Digital Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
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Serrano-Ripoll MJ, Zamanillo-Campos R, Fiol-DeRoque MA, Castro A, Ricci-Cabello I. Impact of Smartphone App-Based Psychological Interventions for Reducing Depressive Symptoms in People With Depression: Systematic Literature Review and Meta-analysis of Randomized Controlled Trials. JMIR Mhealth Uhealth 2022; 10:e29621. [PMID: 35084346 PMCID: PMC8832272 DOI: 10.2196/29621] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 09/16/2021] [Accepted: 11/11/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Depression is a serious, disabling mental disorder that severely affects quality of life. Patients with depression often do not receive adequate treatment. App-based psychotherapy is considered to have great potential to treat depression owing to its reach and easy accessibility. OBJECTIVE We aim to analyze the impact of app-based psychological interventions for reducing depressive symptoms in people with depression. METHODS We conducted a systematic literature review and meta-analysis. We searched Medline, Embase, PsycINFO, Web of Science, and Cochrane Central Register of Controlled Trials from inception to December 23, 2020. We selected randomized controlled trials to examine the impact of app-based psychological interventions for reducing depressive symptoms in people with depression. Study selection, data extraction, and critical appraisal (using the Cochrane Risk of Bias tool for randomized studies and the ROBINS-I tool for nonrandomized studies) were conducted independently by 2 reviewers. Where possible, we pooled data using random effects meta-analyses to obtain estimates of the effect size of the intervention. We conducted post hoc meta-regression analyses to explore the factors associated with intervention success. RESULTS After screening 3468 unique references retrieved from bibliographic searches and assessing the eligibility of 79 full texts, we identified 12 trials (2859 participants) evaluating 14 different interventions. Of 14 trials, 7 (58%) were conducted in the United States; 3 (25%) trials, in Asia (Japan, South Korea, and China); 1 (8%) trial, in Australia; and 1 (8%) trial, in Germany. Of the 12 trials, 5 (42%) trials presented a low risk of bias. The mean duration of the interventions was 6.6 (SD 2.8) weeks. Two-thirds of the interventions were based on cognitive behavioral therapy alone or included it in combination with cognitive control therapy, positive psychology, brief behavioral activation, or mindfulness- and acceptance-based therapy. With no evidence of publication bias, a pooled analysis of 83% (10/12) of the trials and 86% (12/14) of the interventions showed that app-based interventions, compared with a control group receiving usual care or minimal intervention, produced a moderate reduction in depressive symptoms (standardized mean difference [SMD] -0.51, 95% CI -0.69 to -0.33; 2018/2859, 70.58% of the participants; I2=70%). Our meta-regression analyses indicated that there was a greater reduction in symptoms of depression (P=.04) in trials that included participants with moderate to severe depression (SMD -0.67, 95% CI -0.79 to -0.55), compared with trials with participants exhibiting mild to moderate depression (SMD -0.15, 95% CI -0.43 to -0.12). CONCLUSIONS App-based interventions targeted at people with depression produce moderate reductions in the symptoms of depression. More methodologically robust trials are needed to confirm our findings, determine which intervention features are associated with greater improvements, and identify those populations most likely to benefit from this type of intervention. TRIAL REGISTRATION PROSPERO CRD42019145689; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=145689.
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Affiliation(s)
- Maria J Serrano-Ripoll
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
- Balearic Islands Health Services, Primary Care Research Unit of Mallorca, Palma de Mallorca, Spain
- Primary Care Prevention and Health Promotion Network, RedIAPP, Barcelona, Spain
| | - Rocío Zamanillo-Campos
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
- Balearic Islands Health Services, Primary Care Research Unit of Mallorca, Palma de Mallorca, Spain
| | - Maria A Fiol-DeRoque
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
- Balearic Islands Health Services, Primary Care Research Unit of Mallorca, Palma de Mallorca, Spain
| | - Adoración Castro
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
- Research Institute of Health Sciences (IUNICS), University of the Balearic Islands, Palma de Mallorca, Spain
| | - Ignacio Ricci-Cabello
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
- Balearic Islands Health Services, Primary Care Research Unit of Mallorca, Palma de Mallorca, Spain
- Centro de Investigación Biomedica en Red (CIBERESP), Madrid, Spain
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Gardner RL, Haskell J, Jenkins B, Capizzo LF, Cooper EL, Morphis B. Innovative Use of a Mobile Web Application to Remotely Monitor Nonhospitalized Patients with COVID-19. Telemed J E Health 2022; 28:1285-1292. [PMID: 35020491 DOI: 10.1089/tmj.2021.0429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Introduction: Most patients with COVID-19 do not require hospitalization but may need close monitoring, which can strain primary care practices. Our objective was to describe the implementation of a mobile web application to monitor COVID-19 signs and symptoms among nonhospitalized primary care patients and to assess the feasibility and acceptability of the application. Study Design: Retrospective analysis of (1) mobile web application data from March through December 2020 and (2) cross-sectional surveys administered in June 2020. Materials and Methods: We enrolled nonhospitalized patients and staff from nine New England primary care practices across 29 sites. Outcomes included feasibility and acceptability of the application as measured by the proportion of texts that resulted in a response, proportion of patients who agreed using the application was easy, and proportion of practice staff who agreed the application reduced outreach burden and that they would recommend use. Results: Five thousand five hundred thirty-two patients used the mobile web application, with 26,466 total responses. Overall, 78% of the daily texts resulted in a response from patients. Most patients agreed that responding to texts was easy (95%) and that they would be willing to participate in other texting programs (78%). Most staff agreed that the program reduced burden of outreach (94%) and that they would recommend use to other practices (100%). Conclusions: Use of a COVID-19 symptom tracking application was feasible and acceptable to patients and primary care practice staff. Outpatient practices should consider use of mobile web applications to monitor nonhospitalized patients with other acute illnesses.
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Affiliation(s)
- Rebekah L Gardner
- Department of Medicine, Alpert Medical School of Brown University, Providence, Rhode Island, USA.,Healthcentric Advisors, Providence, Rhode Island, USA
| | | | | | | | | | - Blake Morphis
- Healthcentric Advisors, Providence, Rhode Island, USA
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Kruzan KP, Whitlock J, Bazarova NN, Bhandari A, Chapman J. Use of a Mobile Peer Support App Among Young People With Nonsuicidal Self-injury: Small-scale Randomized Controlled Trial. JMIR Form Res 2022; 6:e26526. [PMID: 35006076 PMCID: PMC8787664 DOI: 10.2196/26526] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Revised: 05/10/2021] [Accepted: 11/23/2021] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Nonsuicidal self-injury (NSSI) is a widespread behavior among adolescents and young adults. Although many individuals who self-injure do not seek treatment, there is evidence for web-based help-seeking through web-based communities and mobile peer support networks. However, few studies have rigorously tested the efficacy of such platforms on outcomes relevant for NSSI recovery. OBJECTIVE The aim of this small-scale preregistered randomized controlled trial is to provide preliminary insight into the shorter- and longer-term efficacy of the use of a peer support app, TalkLife, in reducing NSSI frequency and urges and increasing readiness to change. In addition, we explore contact with informal support, interest in therapy, and attitudes toward professional help-seeking. METHODS Individuals aged 16-25 years with current (within 3 months) and chronic (>6 episodes in the past year) NSSI history were eligible to participate in this study. After baseline assessments, the intervention group was instructed to use the app actively (eg, post or comment at least three times per week) and the control group received weekly psychoeducational materials through email, for 8 weeks. Follow-up was assessed at 1 month and 2 months. Linear mixed modeling was used to evaluate condition and time point effects for the primary outcomes of NSSI frequency and urges, readiness to change, contact with informal support, interest in therapy, and attitudes toward professional help-seeking. RESULTS A total of 131 participants were included in the analysis. We evidenced a significant effect of condition on NSSI frequency such that the participants using the peer support app self-injured less over the course of the study (mean 1.30, SE 0.18) than those in the control condition (mean 1.62, SE 0.18; P=.02; η2=0.02). We also evidenced a significant condition effect of readiness to change such that the treatment participants reported greater confidence in their ability to change their NSSI behavior (mean 6.28, SE 0.41) than the control participants (mean 5.67, SE 0.41; P=.04; η2=0.02). No significant differences were observed for contact with informal support, interest in therapy, or attitudes toward professional help-seeking. CONCLUSIONS Use of the peer support app was related to reduced NSSI frequency and greater confidence in one's ability to change NSSI behavior over the course of the study period, but no effects on NSSI urges, contact with informal support, interest in therapy, or attitudes toward professional help-seeking were observed. The findings provide preliminary support for considering the use of mobile peer support apps as a supplement to NSSI intervention and point to the need for larger-scale trials. TRIAL REGISTRATION Open Science Foundation; https://osf.io/3uay9.
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Affiliation(s)
- Kaylee Payne Kruzan
- Center for Behavioral Intervention Technologies, Northwestern University, Chicago, IL, United States
| | - Janis Whitlock
- Bronfenbrenner Center for Translational Research, Cornell University, Ithaca, NY, United States
| | - Natalya N Bazarova
- Department of Communication, Cornell University, Ithaca, NY, United States
| | - Aparajita Bhandari
- Department of Communication, Cornell University, Ithaca, NY, United States
| | - Julia Chapman
- Bronfenbrenner Center for Translational Research, Cornell University, Ithaca, NY, United States
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47
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Graziani G, Aylward BS, Fung V, Kunkle S. Changes in healthcare costs following engagement with a virtual mental health system: a matched cohort study of healthcare claims data. PROCEDIA COMPUTER SCIENCE 2022; 206:173-182. [PMID: 36158864 PMCID: PMC9489472 DOI: 10.1016/j.procs.2022.09.096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
The COVID-19 pandemic has exacerbated the pressing need for mental health services. Digital mental health interventions could increase access to care and be an effective approach to reducing anxiety and depression at scale; however, research on their impact on healthcare expenditure is in the nascent stage and requires further investigation. The current study used claims data to examine the associations between use of an on-demand digital mental health platform and healthcare utilization costs compared to a matched control cohort. The study found that there were no significant differences between cohorts in total healthcare costs and pharmacy costs. There was a 16.8% reduction in outpatient costs (p=.08). On-demand digital mental health interventions can serve as a scalable approach to addressing the current mental health demands and potentially lower outpatient costs.
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Affiliation(s)
- Grant Graziani
- Ginger, 116 New Montgomery St Suite 500, San Francisco, CA 94105, USA
| | | | - Vicki Fung
- Massachusetts General Hospital, Mongan Institute for Health Policy 50 Staniford Street Boston MA 02114, USA
| | - Sarah Kunkle
- Massachusetts General Hospital, Mongan Institute for Health Policy 50 Staniford Street Boston MA 02114, USA
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Glass JE, Tiffany B, Matson TE, Lim C, Gundersen G, Kimbel K, Hartzler AL, Curran GM, McWethy AG, Caldeiro RM, Bradley KA. Approaches for implementing digital interventions for alcohol use disorders in primary care: A qualitative, user-centered design study. IMPLEMENTATION RESEARCH AND PRACTICE 2022; 3:26334895221135264. [PMID: 37091101 PMCID: PMC9924279 DOI: 10.1177/26334895221135264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Background Digital interventions, such as smartphone apps, can be effective in treating alcohol use disorders (AUD). However, efforts to integrate digital interventions into primary care have been challenging. To inform successful implementation, we sought to understand how patients and clinicians preferred to use apps in routine primary care. Methods This study combined user-centered design and qualitative research methods, interviewing 18 primary care patients with AUD and nine primary care clinicians on topics such as prior experiences with digital tools, and design preferences regarding approaches for offering apps for AUD in primary care. Interviews were recorded and transcribed for template analysis whereby a priori codes were based on interview topics and refined through iterative coding. New codes and cross-cutting themes emerged from the data. Results Patient participants with AUD indicated they would be more likely to engage in treatment if primary care team members were involved in their use of apps. They also preferred to see clinicians “invested” and recommended that clinicians ask about app use and progress during follow-up appointments or check-ins. Clinician participants valued the opportunity to offer apps to their patients but noted that workflows would need to be tailored to individual patient needs. Time pressures, implementation complexity, and lack of appropriate staffing were cited as barriers. Clinicians proposed concrete solutions (e.g., education, tools, and staffing models) that could improve their ability to use apps within the constraints of primary care and suggested that some patients could potentially use apps without clinician support. Conclusions A user-centered approach to engaging patients in digital alcohol interventions in primary care may require personalized support for both initiation and follow-up. Meeting patients’ needs likely require increased staffing and efficient workflows in primary care. Health systems should consider offering multiple pathways for enrolling patients in apps to accommodate individual preferences and contextual barriers. Plain Language Summary Healthcare systems have begun using app-based treatments to help patients manage their health conditions, including alcohol use disorders. Some apps have been tested in research studies and appear to be effective. However, it is difficult for healthcare teams to offer apps to patients. Clinicians must engage in new activities that they have not done before, such as “teaching” patients to use apps and checking in on their use of the apps. Identifying how to use apps in routine healthcare is critical to their successful implementation. This study interviewed 27 people, including healthcare providers and patients in primary care, to uncover the most optimal ways to offer apps to patients with alcohol use disorders. The interviews combined the use of qualitative research methods and user-centered design. Results suggest that to use to address alcohol use disorders, primary care teams should be prepared to offer personalized support to patients. Both patient and clinician interviewees said that the steps required to use apps must be intuitive and simple. Patients could gain more benefits if clinicians introduced the apps and guided patients to use them, as opposed to making apps available for patients to download and use on their own. However, the exact approach to offering apps would depend on a given patient’s preferences and the extent that staffing was available in the clinic to support patients. Health systems should be prepared to offer and support patients in their use of apps, which should accommodate patient preferences and the constraints of the clinic.
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Affiliation(s)
- Joseph E. Glass
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Brooks Tiffany
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Theresa E. Matson
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Catherine Lim
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | | | - Kilian Kimbel
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Andrea L. Hartzler
- Department of Biomedical Informatics and Medical Education, School of Medicine, University of Washington, Seattle, WA, USA
| | - Geoffrey M. Curran
- Departments of Pharmacy Practice and Psychiatry, University of Arkansas for Medical Sciences, Little Rock, AR, USA
- Central Arkansas Veterans Healthcare System, Little Rock, AR, USA
| | | | - Ryan M. Caldeiro
- Kaiser Permanente Washington Mental Health & Wellness Services, Renton, WA, USA
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Digitized thought records: a practitioner-focused review of cognitive restructuring apps. COGNITIVE BEHAVIOUR THERAPIST 2022. [DOI: 10.1017/s1754470x22000320] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Abstract
Mental health (MH) apps can be used as adjunctive tools in traditional face-to-face therapy to help implement components of evidence-based treatments. However, practitioners interested in using MH apps face a variety of challenges, including knowing which apps would be appropriate to use. Although some resources are available to help practitioners identify apps, granular analyses of how faithfully specific clinical skills are represented in apps are lacking. This study aimed to conduct a review and analysis of MH apps containing a core component of cognitive behaviour therapy (CBT) – cognitive restructuring (CR). A keyword search for apps providing CR functionality on the Apple App and Android Google Play stores yielded 246 apps after removal of duplicates, which was further reduced to 15 apps following verification of a CR component and application of other inclusionary/exclusionary criteria. Apps were coded based on their inclusion of core elements of CR, and general app features including app content, interoperability/data sharing, professional involvement, ethics, and data safeguards. They were also rated on user experience as assessed by the Mobile App Rating Scale (MARS). Whereas a majority of the CR apps include most core CR elements, they vary considerably with respect to more granular sub-elements of CR (e.g. rating the intensity of emotions), other general app features, and user experience (average MARS = 3.53, range from 2.30 to 4.58). Specific apps that fared best with respect to CR fidelity and user experience dimensions are highlighted, and implications of findings for clinicians, researchers and app developers are discussed.
Key learning aims
(1)
To identify no-cost mobile health apps that practitioners can adopt to facilitate cognitive restructuring.
(2)
To review how well the core elements of cognitive restructuring are represented in these apps.
(3)
To characterize these apps with respect to their user experience and additional features.
(4)
To provide examples of high-quality apps that represent cognitive restructuring with fidelity and facilitate its clinical implementation.
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Kruzan KP, Meyerhoff J, Biernesser C, Goldstein T, Reddy M, Mohr DC. Centering Lived Experience in Developing Digital Interventions for Suicide and Self-injurious Behaviors: User-Centered Design Approach. JMIR Ment Health 2021; 8:e31367. [PMID: 34951602 PMCID: PMC8742214 DOI: 10.2196/31367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Revised: 09/13/2021] [Accepted: 10/07/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND The prevalence of self-injurious thoughts and behaviors (SITB) signals a growing public health crisis. Despite a recognized need for improved and scalable interventions, the field of SITB intervention faces several challenges: existing interventions are often time and resource intensive, most individuals with SITB do not seek formal mental health care, and efficacious treatments are characterized by small effects. Combined, these challenges indicate a need for improved SITB interventions for individuals in formal treatment and those who are not treatment engaged but are at high risk of worsening mental health and future suicide attempts. OBJECTIVE We present a methodological approach and set of techniques that may address these challenges by centering the lived experience of individuals with SITB in the process of developing needed services: user-centered design (UCD). METHODS We highlight the value of UCD in the context of digital interventions for SITB by describing the UCD approach and explicating how it can be leveraged to include lived experience throughout the development and evaluation process. We provide a detailed case example highlighting 3 phases of the early development process that can be used to design an intervention that is engaging and meets end-user needs. In addition, we point to novel applications of UCD to complement new directions in SITB research. RESULTS In this paper, we offer a 2-pronged approach to meet these challenges. First, in terms of addressing access to effective interventions, digital interventions hold promise to extend the reach of evidence-based treatments outside of brick-and-mortar health care settings. Second, to address challenges related to treatment targets and engagement, we propose involving individuals with lived experience in the design and research process. CONCLUSIONS UCD offers a well-developed and systematic process to center the unique needs, preferences, and perceived barriers of individuals with lived SITB experience in the development and evaluation of digital interventions.
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Affiliation(s)
- Kaylee Payne Kruzan
- Center for Behavioral Intervention Technologies, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Jonah Meyerhoff
- Center for Behavioral Intervention Technologies, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Candice Biernesser
- Department of Psychiatry, University of Pittsburgh Medical Center, Pittsburgh, PA, United States
| | - Tina Goldstein
- Department of Psychiatry, University of Pittsburgh Medical Center, Pittsburgh, PA, United States
| | - Madhu Reddy
- Department of Informatics, Donald Bren School of Information and Computer Sciences, University of California, Irvine, Irvine, CA, United States
| | - David C Mohr
- Center for Behavioral Intervention Technologies, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
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