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May D, Litvin B, Allegrante J. Behavioral Activation, Depression, and Promotion of Health Behaviors: A Scoping Review. HEALTH EDUCATION & BEHAVIOR 2024; 51:321-331. [PMID: 35484949 DOI: 10.1177/10901981221090157] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Diverse approaches to the treatment of depressive disorders are necessary to improve evidence-based practice and maximize treatment outcomes. As a result, a range of behaviors and other factors associated with the onset and course of depressive disorders should be examined more comprehensively. Behavioral activation (BA) is a treatment approach to these disorders that can be tailored to address certain health behaviors within the context of depression in an attempt to promote health behaviors whose adoption and maintenance can prove complementary in the treatment of depression. We conducted a scoping review of published studies in which BA-based interventions were used to promote certain health behaviors in individuals with depression. Our search of Medline and the Web of Science identified 336 potential candidate studies. Following screening and with the application of inclusion and exclusion criteria to isolate potentially eligible full-text records, we ultimately identified and evaluated 20 papers that report the nature and efficacy of these modified interventions. Across various domains, including substance use, exercise, medication adherence, and occupational and social success, we found evidence that many-but not all-of the studies we reviewed demonstrated that BA-based interventions were efficacious in promoting the health behavior of interest as well as reducing depressive symptomatology in participants. Implications for more widespread dissemination of such interventions, especially via mobile and web-based platforms due to their accessibility and affordability, are discussed. More research on the feasibility and efficacy of BA-based interventions tailored toward various determinants of health behavior and comorbidities of depressive disorders is warranted.
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Affiliation(s)
- David May
- Teachers College, Columbia University, New York, NY, USA
| | - Boris Litvin
- Teachers College, Columbia University, New York, NY, USA
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Bjornstad G, Sonthalia S, Rouse B, Freeman L, Hessami N, Dunne JH, Axford N. A comparison of the effectiveness of cognitive behavioural interventions based on delivery features for elevated symptoms of depression in adolescents: A systematic review. CAMPBELL SYSTEMATIC REVIEWS 2024; 20:e1376. [PMID: 38188230 PMCID: PMC10771715 DOI: 10.1002/cl2.1376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Accepted: 11/03/2023] [Indexed: 01/09/2024]
Abstract
Background Depression is a public health problem and common amongst adolescents. Cognitive behavioural therapy (CBT) is widely used to treat adolescent depression but existing research does not provide clear conclusions regarding the relative effectiveness of different delivery modalities. Objectives The primary aim is to estimate the relative efficacy of different modes of CBT delivery compared with each other and control conditions for reducing depressive symptoms in adolescents. The secondary aim is to compare the different modes of delivery with regard to intervention completion/attrition (a proxy for intervention acceptability). Search Methods The Cochrane Depression, Anxiety and Neurosis Clinical Trials Register was searched in April 2020. MEDLINE, PsycInfo, EMBASE, four other electronic databases, the CENTRAL trial registry, Google Scholar and Google were searched in November 2020, together with reference checking, citation searching and hand-searching of two databases. Selection Criteria Randomised controlled trials (RCTs) of CBT interventions (irrespective of delivery mode) to reduce symptoms of depression in young people aged 10-19 years with clinically relevant symptoms or diagnosis of depression were included. Data Collection and Analysis Screening and data extraction were completed by two authors independently, with discrepancies addressed by a third author. CBT interventions were categorised as follows: group CBT, individual CBT, remote CBT, guided self-help, and unguided self-help. Effect on depressive symptom score was estimated across validated self-report measures using Hedges' g standardised mean difference. Acceptability was estimated based on loss to follow-up as an odds ratio. Treatment rankings were developed using the surface under the cumulative ranking curve (SUCRA). Pairwise meta-analyses were conducted using random effects models where there were two or more head-to-head trials. Network analyses were conducted using random effects models. Main Results Sixty-eight studies were included in the review. The mean age of participants ranged from 10 to 19.5 years, and on average 60% of participants were female. The majority of studies were conducted in schools (28) or universities (6); other settings included primary care, clinical settings and the home. The number of CBT sessions ranged from 1 to 16, the frequency of delivery from once every 2 weeks to twice a week and the duration of each session from 20 min to 2 h. The risk of bias was low across all domains for 23 studies, 24 studies had some concerns and the remaining 21 were assessed to be at high risk of bias. Sixty-two RCTs (representing 6435 participants) were included in the pairwise and network meta-analyses for post-intervention depressive symptom score at post-intervention. All pre-specified treatment and control categories were represented by at least one RCT. Although most CBT approaches, except remote CBT, demonstrated superiority over no intervention, no approaches performed clearly better than or equivalent to another. The highest and lowest ranking interventions were guided self-help (SUCRA 83%) and unguided self-help (SUCRA 51%), respectively (very low certainty in treatment ranking). Nineteen RCTs (3260 participants) were included in the pairwise and network meta-analyses for 6 to 12 month follow-up depressive symptom score. Neither guided self-help nor remote CBT were evaluated in the RCTs for this time point. Effects were generally attenuated for 6- to 12-month outcomes compared to posttest. No interventions demonstrated superiority to no intervention, although unguided self-help and group CBT both demonstrated superiority compared to TAU. No CBT approach demonstrated clear superiority over another. The highest and lowest ranking approaches were unguided self-help and individual CBT, respectively. Sixty-two RCTs (7347 participants) were included in the pairwise and network meta-analyses for intervention acceptability. All pre-specified treatment and control categories were represented by at least one RCT. Although point estimates tended to favour no intervention, no active treatments were clearly inferior. No CBT approach demonstrated clear superiority over another. The highest and lowest ranking active interventions were individual CBT and group CBT respectively. Pairwise meta-analytic findings were similar to those of the network meta-analysis for all analyses. There may be age-based subgroup effects on post-intervention depressive symptoms. Using the no intervention control group as the reference, the magnitudes of effects appear to be larger for the oldest age categories compared to the other subgroups for each given comparison. However, they were generally less precise and formal testing only indicated a significant difference for group CBT. Findings were robust to pre-specified sensitivity analyses separating out the type of placebo and excluding cluster-RCTs, as well as an additional analysis excluding studies where we had imputed standard deviations. Authors' Conclusions At posttreatment, all active treatments (group CBT, individual CBT, guided self-help, and unguided self-help) except for remote CBT were more effective than no treatment. Guided self-help was the most highly ranked intervention but only evaluated in trials with the oldest adolescents (16-19 years). Moreover, the studies of guided self-help vary in the type and amount of therapist support provided and longer-term results are needed to determine whether effects persist. The magnitude of effects was generally attenuated for 6- to 12-month outcomes. Although unguided self-help was the lowest-ranked active intervention at post-intervention, it was the highest ranked at follow-up. This suggests the need for further research into whether interventions with self-directed elements enable young people to maintain effects by continuing or revisiting the intervention independently, and whether therapist support would improve long-term outcomes. There was no clear evidence that any active treatments were more acceptable to participants than any others. The relative effectiveness of intervention delivery modes must be taken into account in the context of the needs and preferences of individual young people, particularly as the differences between effect sizes were relatively small. Further research into the type and amount of therapist support that is most acceptable to young people and most cost-effective would be particularly useful.
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Affiliation(s)
- Gretchen Bjornstad
- NIHR Applied Research Collaboration South West Peninsula (PenARC)University of Exeter Medical SchoolExeterUK
- Dartington Service Design LabBuckfastleighUK
| | - Shreya Sonthalia
- Dartington Service Design LabBuckfastleighUK
- MRC/CSO Social and Public Health Sciences UnitUniversity of GlasgowGlasgowUK
| | - Benjamin Rouse
- Center for Clinical Evidence and Guidelines, ECRI InstitutePlymouth MeetingPennsylvaniaUSA
| | | | | | - Jo Hickman Dunne
- The Centre for Youth ImpactLondonUK
- University of ManchesterManchesterUK
| | - Nick Axford
- NIHR Applied Research Collaboration South West Peninsula (PenARC)University of PlymouthPlymouthUK
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De Jesús-Romero R, Holder-Dixon AR, Buss JF, Lorenzo-Luaces L. Race, Ethnicity, and Other Cultural Background Factors in Trials of Internet-Based Cognitive Behavioral Therapy for Depression: Systematic Review. J Med Internet Res 2024; 26:e50780. [PMID: 38300699 PMCID: PMC10870215 DOI: 10.2196/50780] [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: 07/12/2023] [Revised: 11/05/2023] [Accepted: 11/16/2023] [Indexed: 02/02/2024] Open
Abstract
BACKGROUND There is a growing interest in developing scalable interventions, including internet-based cognitive behavioral therapy (iCBT), to meet the increasing demand for mental health services. Given the growth in diversity worldwide, it is essential that the clinical trials of iCBT for depression include diverse samples or, at least, report information on the race, ethnicity, or other background indicators of their samples. Unfortunately, the field lacks data on how well diversity is currently reported and represented in the iCBT literature. OBJECTIVE Thus, the main objective of this systematic review was to examine the overall reporting of racial and ethnic identities in published clinical trials of iCBT for depression. We also aimed to review the representation of specific racial and ethnic minoritized groups and the inclusion of alternative background indicators such as migration status or country of residence. METHODS Studies were included if they were randomized controlled trials in which iCBT was compared to a waiting list, care-as-usual, active control, or another iCBT. The included papers also had to have a focus on acute treatment (eg, 4 weeks to 6 months) of depression, be delivered via the internet on a website or a smartphone app and use guided or unguided self-help. Studies were initially identified from the METAPSY database (n=59) and then extended to include papers up to 2022, with papers retrieved from Embase, PubMed, PsycINFO, and Cochrane (n=3). Risk of bias assessment suggested that reported studies had at least some risk of bias due to use of self-report outcome measures. RESULTS A total of 62 iCBT randomized controlled trials representing 17,210 participants are summarized in this study. Out of those 62 papers, only 17 (27%) of the trials reported race, and only 12 (19%) reported ethnicity. Reporting outside of the United States was very poor, with the United States accounting for 15 (88%) out of 17 of studies that reported race and 9 (75%) out of 12 for ethnicity. Out of 3,623 participants whose race was reported in the systematic review, the racial category reported the most was White (n=2716, 74.9%), followed by Asian (n=209, 5.8%) and Black (n=274, 7.6%). Furthermore, only 25 (54%) out of the 46 papers conducted outside of the United States reported other background demographics. CONCLUSIONS It is important to note that the underreporting observed in this study does not necessarily indicate an underrepresentation in the actual study population. However, these findings highlight the poor reporting of race and ethnicity in iCBT trials for depression found in the literature. This lack of diversity reporting may have significant implications for the scalability of these interventions.
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Affiliation(s)
- Robinson De Jesús-Romero
- Department of Psychological and Brain Sciences, Indiana University - Bloomington, Bloomington, IN, United States
| | - Amani R Holder-Dixon
- Department of Psychological and Brain Sciences, Indiana University - Bloomington, Bloomington, IN, United States
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, United States
| | - John F Buss
- Department of Psychological and Brain Sciences, Indiana University - Bloomington, Bloomington, IN, United States
| | - Lorenzo Lorenzo-Luaces
- Department of Psychological and Brain Sciences, Indiana University - Bloomington, Bloomington, IN, United States
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Breitenstein SM, Berteletti J, Smoske S, Barger C, Tipps K, Helsabeck NP. Administrative Dashboard for Monitoring Use of a Web-Based Parent Training Intervention: Usability Study. JMIR Form Res 2024; 8:e53439. [PMID: 38289675 PMCID: PMC10865193 DOI: 10.2196/53439] [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: 10/06/2023] [Revised: 12/14/2023] [Accepted: 01/03/2024] [Indexed: 02/01/2024] Open
Abstract
BACKGROUND Web-based parent training (PT) programs can strengthen parent-child relationships by equipping caregivers with knowledge and evidence-based strategies to manage behavior. Hybrid facilitation of PT includes facilitator interaction paired with self-administered and web-based PT. Web-based administrative dashboards provide users (eg, administrators, facilitators, and researchers) with an integrated platform to monitor parent progress and activities within a PT program or website. Despite the utility and prevalence of administrative dashboards for web-based behavioral interventions, to our knowledge, no research studies have explored the perspectives and insights of dashboard users to enhance user experience and program delivery. OBJECTIVE The purpose of this study is to evaluate the usability of the administrative dashboard (ezDashboard) for the ezParent program, a 6-module web-based PT program for parents of children aged 2-5 years. METHODS This study used a descriptive, single-group design with administrators who were overseeing the implementation of the ezParent program and trained facilitators for hybrid ezParent delivery. Participants spent at least 30 minutes reviewing and evaluating the ezDashboard and then completed a survey of their experience with the dashboard. The survey included the validated 10-item System Usability Scale and open-ended questions focusing on user performance, navigation ease, and overall usefulness of the ezDashboard. RESULTS Participants (N=15) indicated high usability of the ezDashboard with System Usability Scale scoring a total mean score of 83.5 (SD 16.3). Most participants (n=13, 87%) rated the overall user-friendliness of the ezDashboard as good (n=3, 20%), excellent (n=9, 60%), or best imaginable (n=1, 7%). Open-ended questions revealed the ezDashboard is or would be useful to monitor parent progress and trends in engagement (n=8, 53%) and for reviewing topics for discussion and communicating with parents (n=5, 33%). ezParent administrators (n=4) identified that real-time data for ezParent use helps overall management of program uptake. Suggestions for features to add to the ezDashboard included the ability to track partial progress of program modules (4/14, 29%), total time spent per module (2/14, 14%), and exportable reports (4/14, 29%). Other ideas for improvement included direct messaging capabilities, videoconferencing platform integration, and being able to modify participant account and contact information. CONCLUSIONS Results indicate that the ezDashboard is easy to use and provides functional information to facilitators and administrators in delivering ezParent. Qualitative results indicate that integrating suggested features into the ezDashboard may help provide a smoother experience for facilitators, administrators, and ultimately the parents using the program. Providing resources for facilitators and administrators in real time to monitor intervention participants' progress in a program can be helpful in tracking progress and providing facilitated support in tailoring program content and program completion.
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Affiliation(s)
| | | | - Shea Smoske
- College of Nursing, The Ohio State University, Columbus, OH, United States
| | | | - Kyrie Tipps
- College of Nursing, The Ohio State University, Columbus, OH, United States
| | - Nathan P Helsabeck
- College of Nursing, The Ohio State University, Columbus, OH, United States
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Lawrence-Sidebottom D, Huffman LG, Beam A, Guerra R, Parikh A, Roots M, Huberty J. Exploring the Number of Web-Based Behavioral Health Coaching Sessions Associated With Symptom Improvement in Youth: Observational Retrospective Analysis. JMIR Form Res 2023; 7:e52804. [PMID: 38109174 PMCID: PMC10758935 DOI: 10.2196/52804] [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: 09/15/2023] [Revised: 11/07/2023] [Accepted: 11/27/2023] [Indexed: 12/19/2023] Open
Abstract
BACKGROUND Rates of anxiety and depression have been increasing among children and adolescents for the past decade; however, many young people do not receive adequate mental health care. Digital mental health interventions (DMHIs) that include web-based behavioral health coaching are widely accessible and can confer significant improvements in youth anxiety and depressive symptoms. However, more research is necessary to determine the number of web-based coaching sessions that confer clinically significant improvements in anxiety and depressive symptoms in youth. OBJECTIVE This study uses data from a pediatric DMHI to explore the number of web-based coaching sessions required to confer symptom improvements among children and adolescents with moderate or moderately severe symptoms of anxiety and depression. METHODS We used retrospective data from a pediatric DMHI that offered web-based behavioral health coaching in tandem with self-guided access to asynchronous chat with practitioners, digital mental health resources, and web-based mental health symptom assessments. Children and adolescents who engaged in 3 or more sessions of exclusive behavioral health coaching for moderate to moderately severe symptoms of anxiety (n=66) and depression (n=59) were included in the analyses. Analyses explored whether participants showed reliable change (a decrease in symptom scores that exceeds a clinically established threshold) and stable reliable change (at least 2 successive assessments of reliable change). Kaplan-Meier survival analyses were performed to determine the median number of coaching sessions when the first reliable change and stable reliable change occurred for anxiety and depressive symptoms. RESULTS Reliable change in anxiety symptoms was observed after a median of 2 (95% CI 2-3) sessions, and stable reliable change in anxiety symptoms was observed after a median of 6 (95% CI 5-8) sessions. A reliable change in depressive symptoms was observed after a median of 2 (95% CI 1-3) sessions, and a stable reliable change in depressive symptoms was observed after a median of 6 (95% CI 5-7) sessions. Children improved 1-2 sessions earlier than adolescents. CONCLUSIONS Findings from this study will inform caregivers and youth seeking mental health care by characterizing the typical time frame in which current participants show improvements in symptoms. Moreover, by suggesting that meaningful symptom improvement can occur within a relatively short time frame, these results bolster the growing body of research that indicates web-based behavioral health coaching is an effective form of mental health care for young people.
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Affiliation(s)
| | | | | | | | - Amit Parikh
- Bend Health, Inc, Beaverton, OR, United States
| | | | - Jennifer Huberty
- Bend Health, Inc, Beaverton, OR, United States
- FitMinded, Inc LLC, Phoenix, AZ, United States
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Baron KG, Duffecy J, Simonsen S, Bress A, Conroy MB, Greene T, Allen C, Vallejo S. Sleep Technology Intervention to Target Cardiometabolic Health (STITCH): a randomized controlled study of a behavioral sleep extension intervention compared to an education control to improve sleep duration, blood pressure, and cardiometabolic health among adults with elevated blood pressure/hypertension. Trials 2023; 24:658. [PMID: 37817267 PMCID: PMC10566182 DOI: 10.1186/s13063-023-07658-6] [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: 08/31/2023] [Accepted: 09/16/2023] [Indexed: 10/12/2023] Open
Abstract
BACKGROUND Short sleep duration, defined as < 7 h sleep on weeknights, affects 40% of the US adult population, contributing to the increased risk for cardiometabolic diseases, decreased safety, and poorer mental health. Despite the prevalence of short sleep duration, few studies have tested interventions to extend sleep duration. The objective of this study is to test the effects of a behavioral sleep extension intervention on sleep duration, blood pressure, and other measures of cardiometabolic health among adults with elevated blood pressure or hypertension. METHODS This is a single-blind, randomized controlled trial to determine the impact of a behavioral sleep extension intervention on sleep duration and cardiometabolic health among individuals with short sleep duration (< 7 h per night) and elevated blood pressure or hypertension (SBP 120-150 mmHg or DBP 80-90 mmHg). After completing the screening, participants will be randomly assigned to either a sleep coaching (intervention) or health education (control) group. The participants will have weekly contact for either coaching or education for 8 weeks (intervention period) followed by monthly coaching or education for the next 2 months (maintenance period). Participants will complete assessment visits, actigraphy, and 24-h ambulatory blood pressure recording at baseline/screening, 8 weeks, and 6 and 12 months. The primary outcome is sleep duration at 8 weeks, and the secondary outcome is blood pressure at 8 weeks. DISCUSSION The results of this study will determine the effects of behavioral sleep extension on sleep and cardiometabolic health among adults with short sleep duration and elevated BP/hypertension. The results will inform the feasibility and efficacy of behavioral sleep extension and provide information needed for future multi-site effectiveness studies. TRIAL REGISTRATION ClinicalTrials.gov NCT04766424. Registered on 21 February 2021.
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Affiliation(s)
- Kelly Glazer Baron
- Division of Public Health, Department of Family and Preventive Medicine, University of Utah, 375 Chipeta Way Suite A, Salt Lake City, UT, 84013, USA.
| | - Jennifer Duffecy
- Department of Psychiatry, University of Chicago, 912 S Wood, Chicago, IL, 60612, USA
| | - Sara Simonsen
- College of Nursing, University of Utah, Salt Lake City, USA
| | - Adam Bress
- Department of Population Health Sciences, University of Utah, Salt Lake City, USA
| | - Molly B Conroy
- Department of Internal Medicine, University of Utah, Salt Lake City, USA
| | - Tom Greene
- College of Nursing, University of Utah, Salt Lake City, USA
| | - Chelsea Allen
- College of Nursing, University of Utah, Salt Lake City, USA
| | - Sofia Vallejo
- Division of Public Health, Department of Family and Preventive Medicine, University of Utah, 375 Chipeta Way Suite A, Salt Lake City, UT, 84013, USA
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Mamukashvili-Delau M, Koburger N, Dietrich S, Rummel-Kluge C. Long-Term Efficacy of Internet-Based Cognitive Behavioral Therapy Self-Help Programs for Adults With Depression: Systematic Review and Meta-Analysis of Randomized Controlled Trials. JMIR Ment Health 2023; 10:e46925. [PMID: 37606990 PMCID: PMC10481211 DOI: 10.2196/46925] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 06/20/2023] [Accepted: 07/11/2023] [Indexed: 08/23/2023] Open
Abstract
BACKGROUND Depression is a worldwide mental disorder and a leading cause of disability. Many people with depression do not want to take medication or have the motivation to seek psychotherapy treatment for many reasons. Guided internet-based self-help programs may be a promising solution for addressing these issues. This kind of intervention has proven to be effective in reducing depression symptoms on a short-term scale. However, as treatment often is a long-term rehabilitation process, it is important to examine not only the short-term effects of internet-based cognitive behavioral therapy (iCBT) self-help treatment but also the follow-up or long-term efficacy of this kind of intervention. OBJECTIVE This systematic review and meta-analysis aimed to identify studies that examined follow-up data ≥8 weeks after posttreatment measurements and thereby examined the long-term efficacy of iCBT self-help programs with minimal weekly guidance for people with depression. It aimed to analyze the long-term efficacy of iCBT treatments compared to control conditions as well as long-term efficacy within the iCBT treatment conditions. Additionally, it aimed to conduct subgroup analyses according to the follow-up time points for each outcome. Finally, it examined long-term improvements in quality of life. METHODS The Cochrane Collaboration Depression, Anxiety, and Neurosis Controlled Trials Register (CCDANCTR), grey literature, reference lists, and correspondence were used to search for published and unpublished randomized controlled trials (RCTs) that reported the long-term or follow-up efficacy of computer-based or iCBT self-help treatments for depression with minimal guidance of up to 10 min/wk. The search took place between 2015 and 2022 (October). RESULTS The search resulted in a total of 2809 study abstracts, of which 15 studies (with 17 samples) met all inclusion criteria and were included in the long-term analysis. The results showed that the depression outcomes of all follow-up time points together in the treatment conditions were favored over the control conditions with a medium effect size of 0.43 (n=1689 participants; 9 RCTs; standardized mean difference [SMD] -0.43, 95% CI -0.67 to -0.20; P<.001). The analysis of long-term efficacy within the iCBT treatment conditions showed that the follow-up outcomes of the treatment groups were favored over the posttreatment outcomes with a small effect size of 0.20 (n=2196 participants; 17 RCTs; SMD 0.20, 95% CI 0.07-0.49; P=.003). Findings for improving quality of life also showed that the iCBT conditions were favored over the control conditions with a small effect size of 0.19 (n=1345 participants; 3 RCTs; SMD 0.19, 95% CI 0.08-0.30; P<.001). CONCLUSIONS This systematic review and meta-analysis found that iCBT self-help interventions had a superior long-term efficacy for individuals with depressive symptoms compared to control groups. The within-group analysis of iCBT treatment conditions also showed statistically significant improvements in reducing depressive symptoms at follow-up compared to posttreatment measurements.
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Affiliation(s)
- Megi Mamukashvili-Delau
- Department of Psychiatry and Psychotherapy, Medical Faculty, Leipzig University, Leipzig, Germany
- Department of Psychiatry and Psychotherapy, Universitätsklinikum Leipzig, Leipzig, Germany
| | - Nicole Koburger
- Department of Research and Transfer, Leipzig University, Leipzig, Germany
| | - Sandra Dietrich
- Leipzig Travel, Leipzig Tourismus und Marketing GmbH, Leipzig, Germany
| | - Christine Rummel-Kluge
- Department of Psychiatry and Psychotherapy, Medical Faculty, Leipzig University, Leipzig, Germany
- Department of Psychiatry and Psychotherapy, Universitätsklinikum Leipzig, Leipzig, Germany
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Solness CL, Holdefer PJ, Hsu T, Thomas EBK, O'Hara MW. Relationship Factors in Internet-Delivered Psychological Interventions for Veterans Experiencing Postpartum Depression: Qualitative Analysis. JMIR Ment Health 2023; 10:e46061. [PMID: 37581917 PMCID: PMC10466152 DOI: 10.2196/46061] [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: 01/31/2023] [Revised: 05/28/2023] [Accepted: 06/29/2023] [Indexed: 08/16/2023] Open
Abstract
BACKGROUND Internet-delivered psychological interventions (IPIs) have been shown to be effective for a variety of psychological concerns, including postpartum depression. Human-supported programs produce better adherence and larger effect sizes than unsupported programs; however, what it is about support that affects outcomes is not well understood. Therapeutic alliance is one possibility that has been found to contribute to outcomes; however, the specific mechanism is not well understood. Participant perspectives and qualitative methodology are nearly absent from the IPI alliance research and may help provide new directions. OBJECTIVE In this study, we aimed to provide participant perspectives on engagement with an IPI for postpartum depression to help inform alliance research, development of new IPIs, and inform resource allocation. METHODS A qualitative methodology was used to explore participant perspectives of veteran women's engagement with the MomMoodBooster program, a human-supported internet-delivered intervention for postpartum depression. Participants were asked 4 open-ended questions with the 3-month postintervention survey, "In what ways did you find the MomMoodBooster most helpful?" "How do you think the MomMoodBooster could have been improved?" "In what ways did you find the personal coach calls to be helpful?" and "How do you think the personal coach calls could have been improved?" RESULTS Data were collected from 184 participants who responded to at least 1 of the open-ended questions. These were analyzed using thematic analysis and a process of reaching a consensus among coders. The results suggest that not only the engagement with the support person is perceived as a significant contributor to participant experiences while using the MomMoodBooster content but also the relationship factors are particularly meaningful. The results provide insights into the specific qualities of the support person that were perceived as most impactful, such as warmth, empathy and genuineness, and feeling normalized and supported. In addition, the results provide insight into the specific change processes that can be targeted through support interactions, such as encouraging self-reflection and self-care and challenging negative thinking. CONCLUSIONS These data emphasize the importance of relationship factors between support persons and an IPI program for postpartum depression. The findings suggest that focusing on specific aspects of the alliance and the therapeutic relationship could yield fruitful directions for the training of support personnel and for future alliance-based research of internet-delivered treatments.
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Affiliation(s)
- Cara L Solness
- Department of Psychiatry, School of Medicine, University of Colorado, Aurora, CO, United States
| | - Paul J Holdefer
- Department of Psychological and Brain Sciences, University of Iowa, Iowa City, IA, United States
| | - Ti Hsu
- Department of Psychological and Brain Sciences, University of Iowa, Iowa City, IA, United States
| | - Emily B K Thomas
- Department of Psychological and Brain Sciences, University of Iowa, Iowa City, IA, United States
| | - Michael W O'Hara
- Department of Psychological and Brain Sciences, University of Iowa, Iowa City, IA, United States
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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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10
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Mamukashvili-Delau M, Koburger N, Dietrich S, Rummel-Kluge C. Efficacy of computer- and/or internet-based cognitive-behavioral guided self-management for depression in adults: a systematic review and meta-analysis of randomized controlled trials. BMC Psychiatry 2022; 22:730. [PMID: 36424570 PMCID: PMC9685980 DOI: 10.1186/s12888-022-04325-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 10/19/2022] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Depression is a worldwide disease. CBT-based self-help treatment allows patients with mild to moderate depression symptoms to improve their depression or to bridge the waiting- or pandemic period until they receive further clinical treatment. OBJECTIVE This systematic review and meta-analysis aims to explore the efficacy, acceptability and improvement in quality of life of computer-delivered and/or internet-based CBT self-help interventions with minimal guidance (up to 10 min) for depression. The second aim was to compare the effectiveness of reducing depression symptoms at post-treatment of treatment by the type of minimal guidance: (1) e-mail, (2) telephone calls, (3) e-mail and telephone together, or (4) face-to-face. METHODS The Cochrane depression, anxiety, and neurosis review group's specialized register electronic searches, grey literature, reference lists and correspondence were used to search for published and unpublished RCTs that reported efficacy of computer- and/or internet-based CBT self-help treatments for depression with minimal guidance up to 10 min per week. Methodological quality of included studies was evaluated with Cochrane Collaboration tools for assessing risk of bias. The meta-analysis was accomplished using the RevMen software. RESULTS In total, 2809 study abstracts were checked for eligibility. Out of these, 19 studies (21 samples) with a total of 3226 participants were included. The results showed that concerning efficacy, the treatment group is superior to the control group with a medium to large effect size of 0.65. Also, treatment groups with combined guidance by e-mail and telephone calls together had greater effects (SMD -0.76) than groups with other types of minimal guidance (guided by e-mail SMD -0.63; guided face to-face SMD - 0.66; guided by telephone calls SMD -0.49). Findings showed also, that iCBT with minimal guidance had small but statistically significant effect size of 0.28 in improving quality of life. Moreover, there were higher drop-out rates in the treatment condition (RR 1.36) than in the control groups. CONCLUSIONS The results of this meta-analysis support the efficacy of computer- and/or internet-based CBT self-help programs with minimal weekly guidance up to only 10 min for improving depression symptoms at post-treatment for adults. In addition, the results are pointing towards two practical implications. Firstly, depressed persons can use self-help treatment with minimal guidance at home to improve their symptoms or to bridge the waiting time - or pandemic period - before they receive professional face-to-face treatment. Secondly, it can help clinicians to make the decision about using CBT-based self-help treatments for patients that do not need urgent professional treatment, or to combine it with face-to-face therapy.
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Affiliation(s)
- Megi Mamukashvili-Delau
- grid.9647.c0000 0004 7669 9786Department of Psychiatry and Psychotherapy, Klinik Und Poliklinik Für Psychiatrie Und Psychotherapie, Medical Faculty, Leipzig University, Semmelweisstraße 10, Haus 13, 04103 Leipzig, Leipzig, Germany ,grid.411339.d0000 0000 8517 9062Department of Psychiatry and Psychotherapy, Universitätsklinikum Leipzig, Leipzig, Germany
| | - Nicole Koburger
- grid.9647.c0000 0004 7669 9786Department of Personnel Development and Academic Personnel Development, Leipzig University, Leipzig, Germany
| | - Sandra Dietrich
- Leipzig Travel, Leipzig Tourismus and Marketing GmbH, Leipzig, Germany
| | - Christine Rummel-Kluge
- Department of Psychiatry and Psychotherapy, Klinik Und Poliklinik Für Psychiatrie Und Psychotherapie, Medical Faculty, Leipzig University, Semmelweisstraße 10, Haus 13, 04103, Leipzig, Leipzig, Germany. .,Department of Psychiatry and Psychotherapy, Universitätsklinikum Leipzig, Leipzig, Germany.
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11
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Børtveit L, Dechsling A, Sütterlin S, Nordgreen T, Nordahl-Hansen A. Guided Internet-Delivered Treatment for Depression: Scoping Review. JMIR Ment Health 2022; 9:e37342. [PMID: 36194467 PMCID: PMC9579933 DOI: 10.2196/37342] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 07/01/2022] [Accepted: 08/03/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Studies on guided internet-delivered treatment have demonstrated promising results for patients with depressive disorder. OBJECTIVE The aim of this study was to provide an overview of this research area and identify potential gaps in the research. METHODS In this scoping review, web-based databases were used to identify research papers published between 2010 and 2022 where guided internet-delivered treatment was administered to participants with depressive disorders, a standardized rating scale of depressive symptoms was used as the primary outcome measure, and the treatment was compared with a control condition. RESULTS A total of 111 studies were included, and an overview of the studies was provided. Several gaps in the research were identified regarding the design of the studies, treatments delivered, participant representation, and treatment completion. CONCLUSIONS This review provides a comprehensive overview of the research area, and several research gaps were identified. The use of other designs and active control conditions is recommended. Future studies should provide access to treatment manuals, and more replications should be conducted. Researchers should aim to include underrepresented populations and provide reports of comorbidities. Definitions of adequate dosage, reports of completion rates, and reasons for treatment dropout are recommended for future studies.
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Affiliation(s)
- Line Børtveit
- Faculty of Health, Welfare and Organisation, Østfold University College, Halden, Norway.,Faculty of Health Sciences, Department of Behavioral Sciences, Oslo Metropolitan University, Oslo, Norway
| | - Anders Dechsling
- Department of Education, ICT, and Learning, Østfold University College, Halden, Norway
| | - Stefan Sütterlin
- Faculty of Health, Welfare and Organisation, Østfold University College, Halden, Norway.,Faculty of Computer Science, Albstadt-Sigmaringen University, Sigmaringen, Germany
| | - Tine Nordgreen
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway.,Departement of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Anders Nordahl-Hansen
- Department of Education, ICT, and Learning, Østfold University College, Halden, Norway
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12
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Martyn-Nemeth P, Duffecy J, Quinn L, Reutrakul S, Steffen AD, Burke L, Clark Withington MH, Irsheed GA, Perez R, Park M, Saleh A, Mihailescu D, Baron KG. Sleep optimization to improve glycemic control in adults with type 1 diabetes: study protocol for a randomized controlled parallel intervention trial. Trials 2022; 23:686. [PMID: 35986415 PMCID: PMC9389486 DOI: 10.1186/s13063-022-06565-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Accepted: 07/18/2022] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND Despite improvements in treatment regimens and technology, less than 20% of adults with type 1 diabetes (T1D) achieve glycemic targets. Sleep is increasingly recognized as a potentially modifiable target for improving glycemic control. Diabetes distress, poor self-management behaviors, and reduced quality of life have also been linked to sleep variability and insufficient sleep duration. A significant gap of knowledge exists regarding interventions to improve sleep and the effects of sleep optimization on glycemic control in T1D. The purpose of this study is to determine the efficacy of a T1D-specific sleep optimization intervention (Sleep-Opt) on the primary outcomes of sleep variability, sleep duration, and glycemic control (A1C); other glycemic parameters (glycemic variability, time-in-range [TIR]); diabetes distress; self-management behaviors; quality of life; and other patient-reported outcomes in adults with T1D and habitual increased sleep variability or short sleep duration. METHODS A randomized controlled parallel-arm study will be employed in 120 adults (aged 18 to 65 years) with T1D. Participants will be screened for habitual sleep variability (> 1 h/week) or insufficient sleep duration (< 6.5 h per night). Eligible subjects will be randomized to the Sleep-Opt intervention group or healthy living attention control group for 12 weeks. A 1-week run-in period is planned, with baseline measures of sleep by actigraphy (sleep variability and duration), glycemia (A1C and related glycemic measures: glycemic variability and TIR using continuous glucose monitoring), and other secondary outcomes: diabetes distress, self-management behaviors, quality of life, and additional patient-reported outcomes. Sleep-Opt is a technology-assisted behavioral sleep intervention that we recently developed that leverages the rapidly increasing public interest in sleep tracking. Our behavioral intervention employs four elements: a wearable sleep tracker, didactic content, an interactive smartphone application, and brief telephone counseling. The attention control group will participate in a healthy living information program. Baseline measures will be repeated at midpoint, program completion, and post-program (weeks 6, 12, and 24, respectively) to determine differences between the two groups and sustainability of the intervention. DISCUSSION A better understanding of strategies to improve sleep in persons with T1D has the potential to be an important component of diabetes. TRIAL REGISTRATION Clinical Trial Registration: NCT04506151 .
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Affiliation(s)
- Pamela Martyn-Nemeth
- grid.185648.60000 0001 2175 0319Department of Biobehavioral Nursing Science, College of Nursing, University of Illinois Chicago, Chicago, IL USA
| | - Jennifer Duffecy
- grid.185648.60000 0001 2175 0319Department of Psychiatry, College of Medicine, University of Illinois Chicago, Chicago, IL USA
| | - Laurie Quinn
- grid.185648.60000 0001 2175 0319Department of Biobehavioral Nursing Science, College of Nursing, University of Illinois Chicago, Chicago, IL USA
| | - Sirimon Reutrakul
- grid.185648.60000 0001 2175 0319Department of Endocrinology, College of Medicine, University of Illinois Chicago, Chicago, IL USA
| | - Alana D. Steffen
- grid.185648.60000 0001 2175 0319Department of Population Health Nursing Science, College of Nursing, University of Illinois Chicago, Chicago, IL USA
| | - Larisa Burke
- grid.185648.60000 0001 2175 0319Office of Research Facilitation, College of Nursing, University of Illinois Chicago, Chicago, IL USA
| | - Margaret H. Clark Withington
- grid.185648.60000 0001 2175 0319Department of Biobehavioral Nursing Science, College of Nursing, University of Illinois Chicago, Chicago, IL USA
| | - Ghada Abu Irsheed
- grid.185648.60000 0001 2175 0319Department of Biobehavioral Nursing Science, College of Nursing, University of Illinois Chicago, Chicago, IL USA
| | - Rose Perez
- grid.185648.60000 0001 2175 0319Department of Biobehavioral Nursing Science, College of Nursing, University of Illinois Chicago, Chicago, IL USA
| | - Minsun Park
- grid.185648.60000 0001 2175 0319Department of Biobehavioral Nursing Science, College of Nursing, University of Illinois Chicago, Chicago, IL USA
| | - Adam Saleh
- grid.185648.60000 0001 2175 0319Department of Biobehavioral Nursing Science, College of Nursing, University of Illinois Chicago, Chicago, IL USA
| | - Dan Mihailescu
- Department of Endocrinology, Cook County Health, Chicago, IL USA
| | - Kelly Glazer Baron
- grid.223827.e0000 0001 2193 0096Division of Public Health, Department of Family and Preventive Medicine, University of Utah, Salt Lake City, UT USA
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13
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Duffecy J, Grekin R, Long JD, Mills JA, O'Hara M. Randomized controlled trial of Sunnyside: Individual versus group-based online interventions to prevent postpartum depression. J Affect Disord 2022; 311:538-547. [PMID: 35654284 PMCID: PMC11078531 DOI: 10.1016/j.jad.2022.05.123] [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: 02/22/2022] [Revised: 05/23/2022] [Accepted: 05/27/2022] [Indexed: 12/30/2022]
Abstract
BACKGROUND Postpartum depression (PPD) is a serious mental health problem that has a prevalence rate of nearly 20% in the first three months after delivery. The purpose of this study was to evaluate the benefit of Sunnyside, an internet-based cognitive-behavioral intervention, delivered in a group format compared to the same intervention delivered individually for the prevention of PPD. METHOD 210 people between 20- and 28-weeks gestation and who scored between 5 and 14 on the PHQ-8 and who did not meet criteria for major depression were recruited online. The Inventory of Depression and Anxiety Symptoms (IDAS), the Hamilton Rating Scale for Depression (HAMD), and the depression and anxiety modules of the MINI were obtained at baseline, post-treatment, and 12-weeks postpartum. Intervention adherence was measured by site usage. RESULTS Across self-report and interview measures of depression there were no significant differences in outcome between the group and the individual versions of the program. Rates of major depression and generalized anxiety disorder in the postpartum period were low and adherence to the conditions was similarly high. Participants in the individual condition were significantly more satisfied than participants in the group condition (p < 0.05). LIMITATIONS The sample was predominantly white (85%) and recruited online, which may limit generalizability. CONCLUSIONS The group intervention was not more effective than the individual intervention. However, ignoring groups, many measures improved over time. The results of this study provide evidence that mood symptoms improve when participating in an online preventive intervention for postpartum depression.
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Affiliation(s)
- Jennifer Duffecy
- University of Illinois - Chicago, Department of Psychiatry, United States of America.
| | - Rebecca Grekin
- University of Iowa, Department of Psychological and Brain Sciences, United States of America
| | - Jeffrey D Long
- University of Iowa, Department of Psychiatry, United States of America; University of Iowa, Department of Biostatistics, United States of America
| | - James A Mills
- University of Iowa, Department of Psychiatry, United States of America
| | - Michael O'Hara
- University of Iowa, Department of Psychological and Brain Sciences, United States of America
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14
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Hall DL, Levine BJ, Jeter E, Chandler A, Tooze JA, Duffecy J, Victorson D, Gradishar W, Leach J, Saphner T, Smith ML, Penedo F, Mohr DC, Cella D, Wagner LI. A spotlight on avoidance coping to manage fear of recurrence among breast cancer survivors in an eHealth intervention. J Behav Med 2022; 45:771-781. [PMID: 35930212 PMCID: PMC9362703 DOI: 10.1007/s10865-022-00349-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Accepted: 07/11/2022] [Indexed: 11/15/2022]
Abstract
Background Fear of recurrence (FoR) is prevalent among breast cancer survivors (BCS) and may be exacerbated by avoidance coping. This study examined BCS with avoidance coping and their engagement in a FoR eHealth intervention (FoRtitude). Methods BCS (N = 196) with elevated FoR participated in FoRtitude. Patient-reported measures assessed avoidance coping with FoR and baseline emotional and behavioral health. Intervention engagement was measured quantitatively (e.g., website logins, telecoaching attendance) and qualitatively (i.e., telecoaching notes). Results 38 BCS (19%) endorsed avoidance coping, which was associated with more severe post-traumatic anxiety-related symptoms and worse global mental health (ps < .05), but not anxiety (p = .19), depression (p = .11), physical health (p = .12), alcohol consumption (p = .85), or physical activity (p = .39). Avoidance coping was not associated with engagement levels (ps > .05) but did characterize engagement-related motivators and barriers. Conclusions Avoidance coping was not a barrier to FoRtitude engagement. eHealth delivery is a promising modality for engaging survivors with avoidance coping in FoR interventions.
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Affiliation(s)
- Daniel L Hall
- Harvard Medical School, Massachusetts General Hospital, 100 Cambridge St., 16th floor, Boston, MA, 02114, USA.
| | - Beverly J Levine
- Wake Forest University School of Medicine, Winston Salem, NC, USA
| | - Elizabeth Jeter
- Wake Forest University School of Medicine, Winston Salem, NC, USA
| | - Allison Chandler
- Wake Forest University School of Medicine, Winston Salem, NC, USA
| | - Janet A Tooze
- Wake Forest University School of Medicine, Winston Salem, NC, USA
| | | | | | | | | | | | | | | | | | | | - Lynne I Wagner
- Wake Forest University School of Medicine, Winston Salem, NC, USA
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15
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Kwag KH, Kim YR, Lee YK, Lee HR, Lee JY, Lee J, Kim J, Kim Y, Treasure J. Feasibility and acceptability of a digital tele-guided intervention targeting components of the addictive appetite model for bulimia nervosa and binge-eating disorder in Korea. Int J Eat Disord 2022; 55:977-982. [PMID: 35686716 DOI: 10.1002/eat.23754] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 05/19/2022] [Accepted: 05/19/2022] [Indexed: 01/23/2023]
Abstract
OBJECTIVE We aimed to evaluate the feasibility, acceptability, and potential impact of a tele-guided digital-based intervention based on the addictive appetite model of recurrent binge eating. METHOD Female college students with bulimia nervosa (BN) or binge-eating disorder (BED) (n = 22) received a 6-week guided intervention targeting addictive processes and emotion regulation. The feasibility of the intervention was evaluated, and the outcomes were assessed at baseline, the end of the intervention, and 1-month follow-up. RESULTS Of the participants, 86.4% (n = 19) completed the intervention. The self-help materials were viewed 6.03 ± 3.06 times per week, and the duration of using the self-help materials was 113.16 ± 160.19 min/week. The intervention group experienced a significant reduction with a moderate effect on binge eating at the end of the intervention (Hedges' g = 0.58), and the effects lasted through follow-up (Hedges' g = 0.82). DISCUSSION The results suggest that the digital intervention targeting a maintenance mechanism of recurrent binge eating was feasible and acceptable for patients with BN and BED, proving the potential for symptom improvement. PUBLIC SIGNIFICANCE The addictive appetite model provides the framework for new interventions to improve treatments for BN and BED. This study found that the digital intervention based on the model was feasible and acceptable for patients with BN and BED.
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Affiliation(s)
- Kyung Hwa Kwag
- Institute of Eating Disorders and Mental Health, Inje University, Seoul, South Korea
| | - Youl-Ri Kim
- Institute of Eating Disorders and Mental Health, Inje University, Seoul, South Korea.,Department of Psychiatry, Seoul Paik Hospital, Inje University, Seoul, South Korea
| | - You Kyung Lee
- Institute of Eating Disorders and Mental Health, Inje University, Seoul, South Korea
| | - Hye Rin Lee
- Institute of Eating Disorders and Mental Health, Inje University, Seoul, South Korea
| | - Ja Youn Lee
- Institute of Eating Disorders and Mental Health, Inje University, Seoul, South Korea
| | - Jihye Lee
- Institute of Eating Disorders and Mental Health, Inje University, Seoul, South Korea
| | - Jione Kim
- Institute of Eating Disorders and Mental Health, Inje University, Seoul, South Korea
| | - Youngkeun Kim
- Department of Counseling and Psychotherapy, Inje University, Gimhae, South Korea
| | - Janet Treasure
- Section of Eating Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
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16
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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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17
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McCallum M, Ho AS, Mitchell ES, May CN, Behr H, Ritschel L, Mochrie K, Michaelides A. Feasibility, Acceptability, and Preliminary Outcomes of a Cognitive Behavioral Therapy–Based Mobile Mental Well-being Program (Noom Mood): Single-Arm Prospective Cohort Study. JMIR Form Res 2022; 6:e36794. [PMID: 35436218 PMCID: PMC9055471 DOI: 10.2196/36794] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 03/08/2022] [Accepted: 03/23/2022] [Indexed: 11/13/2022] Open
Abstract
Background The prevalence of anxiety, depression, and general distress has risen in recent years. Mobile mental health programs have been found to provide support to nonclinical populations and may overcome some of the barriers associated with traditional in-person treatment; however, researchers have voiced concerns that many publicly available mobile mental health programs lack evidence-based theoretical foundations, peer-reviewed research, and sufficient engagement from the public. Objective This study aimed to evaluate the feasibility, acceptability, and preliminary outcomes of Noom Mood, a commercial mobile cognitive behavioral therapy– and mindfulness-based program. Methods In this single-arm prospective cohort study, individuals who joined Noom Mood between August and October 2021 completed surveys at baseline and 4-week follow-up. Per-protocol analyses included those who completed both surveys (n=113), and intention-to-treat analyses included all participants (N=185). Results A majority of the sample reported that the program is easy to use, they felt confident recommending the program to a friend, and they perceived the program to be effective at improving stress and anxiety. There were significant improvements in anxiety symptoms, perceived stress, depressive feelings, emotion regulation, and optimism in both the per-protocol and intention-to-treat analyses (all P<.001). Participants reported benefiting most from learning skills (eg, breathing and cognitive reframing techniques), interacting with the program features, and gaining awareness of their emotions and thought patterns. Participants also made a number of suggestions to improve product functionality and usability. Conclusions Results suggest that Noom Mood is feasible and acceptable to participants, with promising preliminary outcomes. Future studies should build on these results to evaluate the effects of Noom Mood using more rigorous designs.
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Affiliation(s)
| | | | | | | | - Heather Behr
- Academic Research, Noom Inc, New York, NY, United States
- Department of Integrative Health, Saybrook University, Pasadena, CA, United States
| | - Lorie Ritschel
- Triangle Area Psychology Clinic, Durham, NC, United States
- School of Medicine, University of North Carolina, Chapel Hill, NC, United States
| | - Kirk Mochrie
- Triangle Area Psychology Clinic, Durham, NC, United States
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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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19
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Self-Directed Web-Based Parent-Mediated Interventions for Autistic Children: A systematic review. REVIEW JOURNAL OF AUTISM AND DEVELOPMENTAL DISORDERS 2022. [DOI: 10.1007/s40489-022-00307-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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20
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Goulding EH, Dopke CA, Rossom RC, Michaels T, Martin CR, Ryan C, Jonathan G, McBride A, Babington P, Bernstein M, Bank A, Garborg CS, Dinh JM, Begale M, Kwasny MJ, Mohr DC. A Smartphone-Based Self-management Intervention for Individuals With Bipolar Disorder (LiveWell): Empirical and Theoretical Framework, Intervention Design, and Study Protocol for a Randomized Controlled Trial. JMIR Res Protoc 2022; 11:e30710. [PMID: 35188473 PMCID: PMC8902672 DOI: 10.2196/30710] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Revised: 11/27/2021] [Accepted: 11/30/2021] [Indexed: 12/18/2022] Open
Abstract
Background Bipolar disorder is a severe mental illness with high morbidity and mortality rates. Even with pharmacological treatment, frequent recurrence of episodes, long episode durations, and persistent interepisode symptoms are common and disruptive. Combining psychotherapy with pharmacotherapy improves outcomes; however, many individuals with bipolar disorder do not receive psychotherapy. Mental health technologies can increase access to self-management strategies derived from empirically supported bipolar disorder psychotherapies while also enhancing treatment by delivering real-time assessments, personalized feedback, and provider alerts. In addition, mental health technologies provide a platform for self-report, app use, and behavioral data collection to advance understanding of the longitudinal course of bipolar disorder, which can then be used to support ongoing improvement of treatment. Objective A description of the theoretical and empirically supported framework, design, and protocol for a randomized controlled trial (RCT) of LiveWell, a smartphone-based self-management intervention for individuals with bipolar disorder, is provided to facilitate the ability to replicate, improve, implement, and disseminate effective interventions for bipolar disorder. The goal of the trial is to determine the effectiveness of LiveWell for reducing relapse risk and symptom burden as well as improving quality of life (QOL) while simultaneously clarifying behavioral targets involved in staying well and better characterizing the course of bipolar disorder and treatment response. Methods The study is a single-blind RCT (n=205; 2:3 ratio of usual care vs usual care plus LiveWell). The primary outcome is the time to relapse. Secondary outcomes are percentage time symptomatic, symptom severity, and QOL. Longitudinal changes in target behaviors proposed to mediate the primary and secondary outcomes will also be determined, and their relationships with the outcomes will be assessed. A database of clinical status, symptom severity, real-time self-report, behavioral sensor, app use, and personalized content will be created to better predict treatment response and relapse risk. Results Recruitment and screening began in March 2017 and ended in April 2019. Follow-up ended in April 2020. The results of this study are expected to be published in 2022. Conclusions This study will examine whether LiveWell reduces relapse risk and symptom burden and improves QOL for individuals with bipolar disorder by increasing access to empirically supported self-management strategies. The role of selected target behaviors (medication adherence, sleep duration, routine, and management of signs and symptoms) in these outcomes will also be examined. Simultaneously, a database will be created to initiate the development of algorithms to personalize and improve treatment for bipolar disorder. In addition, we hope that this description of the theoretical and empirically supported framework, intervention design, and study protocol for the RCT of LiveWell will facilitate the ability to replicate, improve, implement, and disseminate effective interventions for bipolar and other mental health disorders. Trial Registration ClinicalTrials.gov NCT03088462; https://www.clinicaltrials.gov/ct2/show/NCT03088462 International Registered Report Identifier (IRRID) DERR1-10.2196/30710
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Affiliation(s)
- Evan H Goulding
- Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Cynthia A Dopke
- Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | | | - Tania Michaels
- Department of Psychiatry, Case Western Reserve University, University Hospitals Cleveland Medical Center, Cleveland, OH, United States
| | - Clair R Martin
- Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Chloe Ryan
- Carolina Outreach, Durham, NC, United States
| | - Geneva Jonathan
- Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Alyssa McBride
- Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Pamela Babington
- Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Mary Bernstein
- Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Andrew Bank
- Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - C Spencer Garborg
- Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | | | | | - Mary J Kwasny
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - David C Mohr
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
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21
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Leong QY, Sridhar S, Blasiak A, Tadeo X, Yeo G, Remus A, Ho D. Characteristics of Mobile Health Platforms for Depression and Anxiety: Content Analysis Through a Systematic Review of the Literature and Systematic Search of Two App Stores. J Med Internet Res 2022; 24:e27388. [PMID: 35119370 PMCID: PMC8857696 DOI: 10.2196/27388] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2021] [Revised: 06/05/2021] [Accepted: 11/08/2021] [Indexed: 12/20/2022] Open
Abstract
Background Mobile health (mHealth) platforms show promise in the management of mental health conditions such as anxiety and depression. This has resulted in an abundance of mHealth platforms available for research or commercial use. Objective The objective of this review is to characterize the current state of mHealth platforms designed for anxiety or depression that are available for research, commercial use, or both. Methods A systematic review was conducted using a two-pronged approach: searching relevant literature with prespecified search terms to identify platforms in published research and simultaneously searching 2 major app stores—Google Play Store and Apple App Store—to identify commercially available platforms. Key characteristics of the mHealth platforms were synthesized, such as platform name, targeted condition, targeted group, purpose, technology type, intervention type, commercial availability, and regulatory information. Results The literature and app store searches yielded 169 and 179 mHealth platforms, respectively. Most platforms developed for research purposes were designed for depression (116/169, 68.6%), whereas the app store search reported a higher number of platforms developed for anxiety (Android: 58/179, 32.4%; iOS: 27/179, 15.1%). The most common purpose of platforms in both searches was treatment (literature search: 122/169, 72.2%; app store search: 129/179, 72.1%). With regard to the types of intervention, cognitive behavioral therapy and referral to care or counseling emerged as the most popular options offered by the platforms identified in the literature and app store searches, respectively. Most platforms from both searches did not have a specific target age group. In addition, most platforms found in app stores lacked clinical and real-world evidence, and a small number of platforms found in the published research were available commercially. Conclusions A considerable number of mHealth platforms designed for anxiety or depression are available for research, commercial use, or both. The characteristics of these mHealth platforms greatly vary. Future efforts should focus on assessing the quality—utility, safety, and effectiveness—of the existing platforms and providing developers, from both commercial and research sectors, a reporting guideline for their platform description and a regulatory framework to facilitate the development, validation, and deployment of effective mHealth platforms.
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Affiliation(s)
- Qiao Ying Leong
- N.1 Institute for Health, National University of Singapore, Singapore, Singapore.,The Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Shreya Sridhar
- N.1 Institute for Health, National University of Singapore, Singapore, Singapore
| | - Agata Blasiak
- N.1 Institute for Health, National University of Singapore, Singapore, Singapore.,The Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.,Department of Biomedical Engineering, NUS Engineering, National University of Singapore, Singapore, Singapore.,Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Xavier Tadeo
- N.1 Institute for Health, National University of Singapore, Singapore, Singapore.,The Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - GeckHong Yeo
- N.1 Institute for Health, National University of Singapore, Singapore, Singapore.,The Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Alexandria Remus
- N.1 Institute for Health, National University of Singapore, Singapore, Singapore.,The Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.,Department of Biomedical Engineering, NUS Engineering, National University of Singapore, Singapore, Singapore
| | - Dean Ho
- N.1 Institute for Health, National University of Singapore, Singapore, Singapore.,The Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.,Department of Biomedical Engineering, NUS Engineering, National University of Singapore, Singapore, Singapore.,Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.,Health District @ Queenstown, Singapore, Singapore
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22
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Wright JH, Owen J, Eells TD, Antle B, Bishop LB, Girdler R, Harris LM, Wright RB, Wells MJ, Gopalraj R, Pendleton ME, Ali S. Effect of Computer-Assisted Cognitive Behavior Therapy vs Usual Care on Depression Among Adults in Primary Care: A Randomized Clinical Trial. JAMA Netw Open 2022; 5:e2146716. [PMID: 35142833 PMCID: PMC8832170 DOI: 10.1001/jamanetworkopen.2021.46716] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
IMPORTANCE Depression is a common disorder that may go untreated or receive suboptimal care in primary care settings. Computer-assisted cognitive behavior therapy (CCBT) has been proposed as a method for improving access to effective psychotherapy, reducing cost, and increasing the convenience and efficiency of treatment for depression. OBJECTIVES To evaluate whether clinician-supported CCBT is more effective than treatment as usual (TAU) in primary care patients with depression and to examine the feasibility and implementation of CCBT in a primary care population with substantial numbers of patients with low income, limited internet access, and low levels of educational attainment. DESIGN, SETTING, AND PARTICIPANTS This randomized clinical trial included adult primary care patients from clinical practices at the University of Louisville who scored 10 or greater on the Patient Health Questionnaire-9 (PHQ-9) and were randomly assigned to CCBT or TAU for 12 weeks of active treatment. Follow-up assessments were conducted 3 and 6 months after treatment completion. Enrollment occurred from June 24, 2016, to May 13, 2019. The last follow-up assessment was conducted on January 30, 2020. INTERVENTIONS CCBT included use of the 9-lesson computer program Good Days Ahead, along with as many as 12 weekly telephonic support sessions of approximately 20 minutes with a master's level therapist, in addition to TAU, which consisted of the standard clinical management procedures at the primary care sites. TAU was uncontrolled, but use of antidepressants and psychotherapy other than CCBT was recorded. MAIN OUTCOMES AND MEASURES The primary outcome measure (PHQ-9) and secondary outcome measures (Automatic Thoughts Questionnaire for negative cognitions, Generalized Anxiety Disorder-7, and the Satisfaction with Life Scale for quality of life) were administered at baseline, 12 weeks, and 3 and 6 months after treatment completion. Satisfaction with treatment was assessed with the Client Satisfaction Questionnaire-8. RESULTS The sample of 175 patients was predominately female (147 of 174 [84.5%]) and had a high proportion of individuals who identified as racial and ethnic minority groups (African American, 44 of 162 patients who reported [27.2%]; American Indian or Alaska Native, 2 [1.2%]; Hispanic, 4 [2.5%]; multiracial, 14 [8.6%]). An annual income of less than $30 000 was reported by 88 of 143 patients (61.5%). Overall, 95 patients (54.3%) were randomly assigned to CCBT and 80 (45.7%) to TAU. Dropout rates were 22.1% for CCBT (21 patients) and 30.0% for TAU (24 patients). An intent-to-treat analysis found that CCBT led to significantly greater improvement in PHQ-9 scores than TAU at posttreatment (mean difference, -2.5; 95% CI, -4.5 to -0.8; P = .005) and 3 month (mean difference, -2.3; 95% CI, -4.5 to -0.8; P = .006) and 6 month (mean difference, -3.2; 95% CI, -4.5 to -0.8; P = .007) follow-up points. Posttreatment response and remission rates were also significantly higher for CCBT (response, 58.4% [95% CI, 46.4-70.4%]; remission, 27.3% [95% CI, 16.4%-38.2%]) than TAU (response, 33.1% [95% CI, 20.7%-45.5%]; remission, 12.0% [95% CI, 3.3%- 20.7%]). CONCLUSIONS AND RELEVANCE In this randomized clinical trial, CCBT was found to have significantly greater effects on depressive symptoms than TAU in primary care patients with depression. Because the study population included people with lower income and lack of internet access who typically have been underrepresented or not included in earlier investigations of CCBT, results suggest that this form of treatment can be acceptable and useful in diverse primary care settings. Additional studies with larger samples are needed to address implementation procedures that could enhance the effectiveness of CCBT and to examine potential factors associated with treatment outcome. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT02700009.
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Affiliation(s)
- Jesse H. Wright
- Department of Psychiatry and Behavioral Sciences, University of Louisville School of Medicine, Louisville, Kentucky
| | - Jesse Owen
- Department of Counseling Psychology, University of Denver, Denver, Colorado
| | - Tracy D. Eells
- Department of Psychiatry and Behavioral Sciences, University of Louisville School of Medicine, Louisville, Kentucky
| | - Becky Antle
- Kent School of Social Work, University of Louisville, Louisville, Kentucky
| | - Laura B. Bishop
- Department of Medicine, University of Louisville School of Medicine, Louisville, Kentucky
| | - Renee Girdler
- Department of Family and Geriatric Medicine, University of Louisville School of Medicine, Louisville, Kentucky
- now with Norton Healthcare, Norton Community Medical Associates, Louisville, Kentucky
| | - Lesley M. Harris
- Kent School of Social Work, University of Louisville, Louisville, Kentucky
| | - R. Brent Wright
- Department of Family and Geriatric Medicine, University of Louisville School of Medicine, Louisville, Kentucky
| | - Michael J. Wells
- Department of Family and Geriatric Medicine, University of Louisville School of Medicine, Louisville, Kentucky
- now with Baptist Health, Baptist Health Medical Group Primary Care, Louisville, Kentucky
| | - Rangaraj Gopalraj
- Department of Family and Geriatric Medicine, University of Louisville School of Medicine, Louisville, Kentucky
- now with Norton Healthcare, Norton Community Medical Associates, Louisville, Kentucky
| | - Michael E. Pendleton
- Department of Family and Geriatric Medicine, University of Louisville School of Medicine, Louisville, Kentucky
- now with Baptist Health, Baptist Health Medical Group Primary Care, Louisville, Kentucky
| | - Shehzad Ali
- Mental Health and Addictions Research Group, Department of Health Sciences, University of York, Heslington, United Kingdom
- Department of Psychology, Macquarie University, Sydney, New South Wales, Australia
- Department of Epidemiology and Biostatistics, Schulich School of Medicine, Western University, London, Ontario, Canada
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23
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Rosenberg BM, Kodish T, Cohen ZD, Gong-Guy E, Craske MG. A Novel Peer-to-Peer Coaching Program to Support Digital Mental Health: Design and Implementation. JMIR Ment Health 2022; 9:e32430. [PMID: 35080504 PMCID: PMC8829693 DOI: 10.2196/32430] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 11/21/2021] [Accepted: 11/22/2021] [Indexed: 01/09/2023] Open
Abstract
Many individuals in need of mental health services do not currently receive care. Scalable programs are needed to reduce the burden of mental illness among those without access to existing providers. Digital interventions present an avenue for increasing the reach of mental health services. These interventions often rely on paraprofessionals, or coaches, to support the treatment. Although existing programs hold immense promise, providers must ensure that treatments are delivered with high fidelity and adherence to the treatment model. In this paper, we first highlight the tension between the scalability and fidelity of mental health services. We then describe the design and implementation of a peer-to-peer coach training program to support a digital mental health intervention for undergraduate students within a university setting. We specifically note strategies for emphasizing fidelity within our scalable framework, including principles of learning theory and competency-based supervision. Finally, we discuss future applications of this work, including the potential adaptability of our model for use within other contexts.
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Affiliation(s)
- Benjamin M Rosenberg
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, United States
| | - Tamar Kodish
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, United States.,Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States
| | - Zachary D Cohen
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States
| | - Elizabeth Gong-Guy
- Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States
| | - Michelle G Craske
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, United States.,Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States
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24
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Chan M, Jiang Y, Lee CYC, Ramachandran HJ, Teo JYC, Seah CWA, Lin Y, Wang W. Effectiveness of eHealth‐based cognitive behavioural therapy on depression: A systematic review and meta‐analysis. J Clin Nurs 2022; 31:3021-3031. [DOI: 10.1111/jocn.16212] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 12/27/2021] [Accepted: 01/04/2022] [Indexed: 11/26/2022]
Affiliation(s)
- Ming Chan
- Alice Lee Centre for Nursing Studies Yong Loo Lin School of MedicineNational University of Singapore Singapore City Singapore
| | - Ying Jiang
- Alice Lee Centre for Nursing Studies Yong Loo Lin School of MedicineNational University of Singapore Singapore City Singapore
| | - Cheuk Yiu Charlotte Lee
- Alice Lee Centre for Nursing Studies Yong Loo Lin School of MedicineNational University of Singapore Singapore City Singapore
| | - Hadassah Joann Ramachandran
- Alice Lee Centre for Nursing Studies Yong Loo Lin School of MedicineNational University of Singapore Singapore City Singapore
| | - Jun Yi Claire Teo
- Alice Lee Centre for Nursing Studies Yong Loo Lin School of MedicineNational University of Singapore Singapore City Singapore
| | - Chuen Wei Alvin Seah
- Alice Lee Centre for Nursing Studies Yong Loo Lin School of MedicineNational University of Singapore Singapore City Singapore
| | - Yanjun Lin
- Department of Nursing Fujian Medical University Union Hospital Fuzhou China
| | - Wenru Wang
- Alice Lee Centre for Nursing Studies Yong Loo Lin School of MedicineNational University of Singapore Singapore City Singapore
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25
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Boucher EM, Harake NR, Ward HE, Stoeckl SE, Vargas J, Minkel J, Parks AC, Zilca R. Artificially intelligent chatbots in digital mental health interventions: a review. Expert Rev Med Devices 2021; 18:37-49. [PMID: 34872429 DOI: 10.1080/17434440.2021.2013200] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
INTRODUCTION Increasing demand for mental health services and the expanding capabilities of artificial intelligence (AI) in recent years has driven the development of digital mental health interventions (DMHIs). To date, AI-based chatbots have been integrated into DMHIs to support diagnostics and screening, symptom management and behavior change, and content delivery. AREAS COVERED We summarize the current landscape of DMHIs, with a focus on AI-based chatbots. Happify Health's AI chatbot, Anna, serves as a case study for discussion of potential challenges and how these might be addressed, and demonstrates the promise of chatbots as effective, usable, and adoptable within DMHIs. Finally, we discuss ways in which future research can advance the field, addressing topics including perceptions of AI, the impact of individual differences, and implications for privacy and ethics. EXPERT OPINION Our discussion concludes with a speculative viewpoint on the future of AI in DMHIs, including the use of chatbots, the evolution of AI, dynamic mental health systems, hyper-personalization, and human-like intervention delivery.
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26
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Boucher EM, Ward HE, Mounts AC, Parks AC. Engagement in Digital Mental Health Interventions: Can Monetary Incentives Help? Front Psychol 2021; 12:746324. [PMID: 34867629 PMCID: PMC8638360 DOI: 10.3389/fpsyg.2021.746324] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Accepted: 10/05/2021] [Indexed: 12/04/2022] Open
Abstract
Digital mental health interventions (DMHI) are scalable and cost-effective strategies for increasing access to mental health care; however, dropout rates associated with digital interventions are high, particularly for open-access digital interventions. While some studies have focused on predictors of dropout from digital mental health programs, few studies have focused on engagement features that might improve engagement. In this perspective article, we discuss whether monetary incentives (MI) are one avenue to increasing user engagement in DMHI. We begin by reviewing the literature on the effects of MI for behavior change in health domains (e.g., dietary behaviors, substance use, and medication adherence). Then, drawing on a pilot study we conducted to test the effects of different levels of MI on usage and improvement in subjective well-being among users of a DMHI (Happify), we discuss the potential applications of MI for DMHI, the potential drawbacks of financial incentives in this context, and open questions for future research.
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27
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Swartz HA, Rollman BL, Mohr DC, Sadow S, Frank E. A randomized pilot study of Rhythms And You (RAY): An internet-based program for bipolar disorder administered with and without clinical helper support in primary care. J Affect Disord 2021; 295:183-191. [PMID: 34469857 PMCID: PMC8551063 DOI: 10.1016/j.jad.2021.08.025] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2021] [Revised: 08/12/2021] [Accepted: 08/18/2021] [Indexed: 01/01/2023]
Abstract
BACKGROUND Rhythms And You (RAY) is an online intervention for bipolar disorders (BD) based on Interpersonal and Social Rhythm Therapy. We examined RAY's feasibility and acceptability for individuals with BD recruited from primary care. Because online interventions may be more effective when paired with human support, we evaluated RAY with and without weekly brief (∼5 min) calls from clinical helpers (CH). METHODS Participants (n = 47) meeting criteria for BD I, II or other specified BD, presenting for primary care, were randomly assigned to RAY, RAY-CH, or Adjunctive Reading Material (ARM) control. RAY consisted of 12 weekly online modules. ARM consisted of 12 weekly emails. Participants were assessed at baseline, 4, 8, and 12 weeks. RESULTS RAY showed high completion rates and Client Satisfaction Questionnaire scores (36/47, 77% and 25.1 ± 5.5, respectively; no group differences). Effect sizes for RAY- CH ranged from small [Internal State Scale-Activation Subscale (ISS-ACT); d = 0.3] to large [SF-12 Mental Health Composite Score (SF-12 MHC); d = 1.3]. ARM also showed moderate effects (ISS-ACT d = 0.7; Quick Inventory of Depressive Symptoms, d = 0.8). SF-12 MHC scores showed a time*group interaction (F = 2.38, df = 6,32, p = 0.05) favoring RAY-CH. Number of logins trended toward significant association with improved social rhythm regularity (F = 4.09, df = 1, 17, p = 0.06). LIMITATIONS Sample size is small, limiting conclusions that can be drawn. CONCLUSIONS Remote delivery of RAY for individuals with BD is feasible and acceptable. More time spent engaged in RAY was associated with greater improvement in social rhythm regularity. Preliminary evidence suggests adding brief human support to RAY may yield better outcomes.
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Affiliation(s)
- Holly A Swartz
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA, United States.
| | - Bruce L Rollman
- University of Pittsburgh School of Medicine, Center for Behavioral Health, Media, and Technology, Department of Medicine, Pittsburgh, PA, United States
| | - David C Mohr
- Northwestern University Feinberg School of Medicine, Center for Behavioral Intervention Technologies, Department of Preventive Medicine, Chicago, IL, United States
| | - Samuel Sadow
- University of Pittsburgh, Department of Statistics, Pittsburgh, PA, United States; now located at AstraZeneca, Gaithersburg, MD
| | - Ellen Frank
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA, United States
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28
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Braun L, Titzler I, Terhorst Y, Freund J, Thielecke J, Ebert DD, Baumeister H. Are guided internet-based interventions for the indicated prevention of depression in green professions effective in the long run? Longitudinal analysis of the 6- and 12-month follow-up of a pragmatic randomized controlled trial (PROD-A). Internet Interv 2021; 26:100455. [PMID: 34900605 PMCID: PMC8640872 DOI: 10.1016/j.invent.2021.100455] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Revised: 09/03/2021] [Accepted: 09/09/2021] [Indexed: 12/15/2022] Open
Abstract
OBJECTIVE Evidence of long-term stability for positive mental health effects of internet-based interventions (IBIs) for depression prevention is still scarce. We evaluate long-term effectiveness of a depression prevention program in green professions (i.e. agriculture, horticulture, forestry). METHODS This pragmatic RCT (n = 360) compares a tailored IBI program to enhanced treatment as usual (TAU+) in green professions with at least subthreshold depression (PHQ ≥ 5). Intervention group (IG) received one of six IBIs shown previously to efficaciously reduce depressive symptoms. We report 6- and 12-month follow-up measures for depression, mental health and intervention-related outcomes. Intention-to-treat and per-protocol regression analyses were conducted for each measurement point and complemented by latent growth modeling. RESULTS After 6 months, depression severity (β = -0.30, 95%-CI: -0.52; -0.07), insomnia (β = -0.22, 95%-CI: -0.41; -0.02), pain-associated disability (β = -0.26, 95%-CI: -0.48; -0.04) and quality of life (β = 0.29, 95%-CI: 0.13; 0.45) in IG were superior to TAU+. Onset of possible depression was not reduced. After 12 months, no intervention effects were found. Longitudinal modeling confirmed group effects attenuating over 12 months for most outcomes. After 12 months, 55.56% of IG had completed at least 80% of their IBI. CONCLUSIONS Stability of intervention effects along with intervention adherence was restricted. Measures enhancing long-term effectiveness of IBIs for depression health promotion are indicated in green professions. TRIAL REGISTRATION German Clinical Trial Registration: DRKS00014000. Registered: 09 April 2018.
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Affiliation(s)
- Lina Braun
- Department of Clinical Psychology and Psychotherapy, Institute of Psychology and Education, Ulm University, Ulm, Germany
| | - Ingrid Titzler
- Department of Clinical Psychology and Psychotherapy, Institute of Psychology, Friedrich-Alexander-University of Erlangen-Nürnberg, Erlangen, Germany
- GET.ON Institute, Berlin, Germany
| | - Yannik Terhorst
- Department of Clinical Psychology and Psychotherapy, Institute of Psychology and Education, Ulm University, Ulm, Germany
- Department of Research Methods, Institute of Psychology and Education, Ulm University, Germany
| | - Johanna Freund
- Department of Clinical Psychology and Psychotherapy, Institute of Psychology, Friedrich-Alexander-University of Erlangen-Nürnberg, Erlangen, Germany
| | - Janika Thielecke
- Department of Clinical Psychology and Psychotherapy, Institute of Psychology, Friedrich-Alexander-University of Erlangen-Nürnberg, Erlangen, Germany
| | - David Daniel Ebert
- Department of Clinical Psychology and Psychotherapy, Institute of Psychology, Friedrich-Alexander-University of Erlangen-Nürnberg, Erlangen, Germany
- GET.ON Institute, Berlin, Germany
- Faculty TUM Department of Sport and Health Sciences, TU Munich, Munich, Germany
| | - Harald Baumeister
- Department of Clinical Psychology and Psychotherapy, Institute of Psychology and Education, Ulm University, Ulm, Germany
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Mohr DC, Kwasny MJ, Meyerhoff J, Graham AK, Lattie EG. The effect of depression and anxiety symptom severity on clinical outcomes and app use in digital mental health treatments: Meta-regression of three trials. Behav Res Ther 2021; 147:103972. [PMID: 34600398 DOI: 10.1016/j.brat.2021.103972] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2021] [Revised: 09/17/2021] [Accepted: 09/21/2021] [Indexed: 10/20/2022]
Abstract
A large number of trials have consistently shown that guided digital mental health treatments (DMHTs) are effective for depression and anxiety. As DMHTs are adopted by healthcare organizations, payers, and employers, they are often considered most appropriate for people with mild-to-moderate levels of symptom severity. Thus, the aim of this study was to examine the effects of symptom severity on depression and anxiety outcomes and app use across three trials of a guided DMHT, IntelliCare. Participants were categorized into mild, moderate, moderately severe, and severe symptom severity groups on depression and anxiety. All symptom severity groups showed significant reductions in depression and anxiety in a clear ordinal pattern, with the mild symptom severity group showing the smallest changes and the severe symptom group showing the largest improvements. Those with the lowest levels of educational attainment showed the largest symptom improvement. Baseline symptom severity was not significantly related to app use. App use was significantly related to depression and anxiety outcomes. These findings suggest that depression and anxiety symptom severity is not useful in determining who should be referred to a guided DMHT.
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Affiliation(s)
- David C Mohr
- Center for Behavioral Intervention Technologies, Northwestern University, Chicago, IL, USA.
| | - Mary J Kwasny
- Center for Behavioral Intervention Technologies, Northwestern University, Chicago, IL, USA
| | - Jonah Meyerhoff
- Center for Behavioral Intervention Technologies, Northwestern University, Chicago, IL, USA
| | - Andrea K Graham
- Center for Behavioral Intervention Technologies, Northwestern University, Chicago, IL, USA
| | - Emily G Lattie
- Center for Behavioral Intervention Technologies, Northwestern University, Chicago, IL, USA
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Anton MT, Greenberger HM, Andreopoulos E, Pande RL. Evaluation of a Commercial Mobile Health App for Depression and Anxiety (AbleTo Digital+): Retrospective Cohort Study. JMIR Form Res 2021; 5:e27570. [PMID: 34546170 PMCID: PMC8493460 DOI: 10.2196/27570] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 04/29/2021] [Accepted: 07/26/2021] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Digital solutions, such as web-based and mobile interventions, have the potential to streamline pathways to mental health services and improve access to mental health care. Although a growing number of randomized trials have established the efficacy of digital interventions for common mental health problems, less is known about the real-world impact of these tools. AbleTo Digital+, a commercially available mental health app for depression and anxiety, offers a unique opportunity to understand the clinical impact of such tools delivered in a real-world context. OBJECTIVE The primary aim of this study is to examine the magnitude of change in depression and anxiety symptoms among individuals who used AbleTo Digital+ programs. The secondary aim is to evaluate Digital+ module completion, including the use of 1:1 coaching. METHODS In this retrospective cohort study, we analyzed previously collected and permanently deidentified data from a consecutive cohort of 1896 adults who initiated using one of the three Digital+ eight-module programs (depression, generalized anxiety, or social anxiety) between January 1 and June 30, 2020. Depression, generalized anxiety, and social anxiety symptoms were assessed within each program using the Patient Health Questionnaire-9, the Generalized Anxiety Disorder-7, and the Social Phobia Inventory, respectively. Linear mixed effects models were built to assess the association between module completion and symptom change among users who completed at least four modules and had at least mild baseline symptom elevations, controlling for age, gender, and baseline symptom severity. Digital+ use, including module completion, 1:1 coaching calls, and in-app coach messaging, was also evaluated. RESULTS Significant effects were observed among depression (Cohen d=1.5), generalized anxiety (Cohen d=1.2), and social anxiety (Cohen d=1.0) program participants who completed at least four modules and had mild baseline elevations (n=470). Associations between module completion and change in depression (β=-1.2; P<.001), generalized anxiety (β=-1.1; P<.001), and social anxiety (β=-2.4; P<.001) symptom scores retained significance with covariate adjustment. Participants completed an average of 2.6 (SD 2.7) modules. The average total length of app use was 52.2 (SD 83.5) days. Approximately two-thirds of the users engaged in at least 1 coaching call (66.82%, 1267/1896) or in-app text messaging (66.09%, 1253/1896). Participants who completed at least four modules participated in significantly more coaching calls per module (mean 1.1, SD 0.7) than users who completed fewer than four modules (mean 1.0, SD 1.2; t1407=-2.1; P=.03). CONCLUSIONS This study demonstrated that AbleTo Digital+ users experienced significant reductions in depression, generalized anxiety, and social anxiety symptoms throughout the program.
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Renfrew ME, Morton DP, Morton JK, Przybylko G. The Influence of Human Support on the Effectiveness of Digital Mental Health Promotion Interventions for the General Population. Front Psychol 2021; 12:716106. [PMID: 34489818 PMCID: PMC8416605 DOI: 10.3389/fpsyg.2021.716106] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Accepted: 07/28/2021] [Indexed: 11/25/2022] Open
Abstract
Mental wellbeing amongst the general population is languishing—exacerbated by the Coronavirus Disease 2019 (COVID-19) pandemic. Digital mental health promotion interventions, that improve mental health literacy and encourage adoption of evidence-informed practical strategies are essential. However, attrition and non-adherence are problematic in digital interventions. Human support is often applied as an antidote; yet, there is a paucity of randomized trials that compare different human support conditions amongst general population cohorts. Limited trials generally indicate that human support has little influence on adherence or outcomes in DMHPIs. However, providing participants autonomy to self-select automated support options may enhance motivation and adherence.
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Affiliation(s)
- Melanie Elise Renfrew
- Lifestyle Medicine and Health Research Center, Avondale University College, Cooranbong, NSW, Australia
| | - Darren Peter Morton
- Lifestyle Medicine and Health Research Center, Avondale University College, Cooranbong, NSW, Australia
| | - Jason Kyle Morton
- Lifestyle Medicine and Health Research Center, Avondale University College, Cooranbong, NSW, Australia
| | - Geraldine Przybylko
- Lifestyle Medicine and Health Research Center, Avondale University College, Cooranbong, NSW, Australia
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Barnett P, Goulding L, Casetta C, Jordan H, Sheridan-Rains L, Steare T, Williams J, Wood L, Gaughran F, Johnson S. Implementation of Telemental Health Services Before COVID-19: Rapid Umbrella Review of Systematic Reviews. J Med Internet Res 2021; 23:e26492. [PMID: 34061758 PMCID: PMC8335619 DOI: 10.2196/26492] [Citation(s) in RCA: 61] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Revised: 03/30/2021] [Accepted: 04/30/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Telemental health care has been rapidly adopted for maintaining services during the COVID-19 pandemic, and a substantial interest is now being devoted in its future role. Service planning and policy making for recovery from the pandemic and beyond should draw on both COVID-19 experiences and the substantial research evidence accumulated before this pandemic. OBJECTIVE We aim to conduct an umbrella review of systematic reviews available on the literature and evidence-based guidance on telemental health, including both qualitative and quantitative literature. METHODS Three databases were searched between January 2010 and August 2020 for systematic reviews meeting the predefined criteria. The retrieved reviews were independently screened, and those meeting the inclusion criteria were synthesized and assessed for risk of bias. Narrative synthesis was used to report these findings. RESULTS In total, 19 systematic reviews met the inclusion criteria. A total of 15 reviews examined clinical effectiveness, 8 reported on the aspects of telemental health implementation, 10 reported on acceptability to service users and clinicians, 2 reported on cost-effectiveness, and 1 reported on guidance. Most reviews were assessed to be of low quality. The findings suggested that video-based communication could be as effective and acceptable as face-to-face formats, at least in the short term. Evidence on the extent of digital exclusion and how it can be overcome and that on some significant contexts, such as children and young people's services and inpatient settings, was found to be lacking. CONCLUSIONS This umbrella review suggests that telemental health has the potential to be an effective and acceptable form of service delivery. However, we found limited evidence on the impact of its large-scale implementation across catchment areas. Combining previous evidence and COVID-19 experiences may allow realistic planning for the future implementation of telemental health.
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Affiliation(s)
- Phoebe Barnett
- Centre for Outcomes Research and Effectiveness, Division of Psychology and Language Sciences, University College London, London, United Kingdom.,NIHR Mental Health Policy Research Unit, Division of Psychiatry, University College London, London, United Kingdom
| | - Lucy Goulding
- King's Improvement Science, Centre for Implementation Science, King's College London, London, United Kingdom
| | - Cecilia Casetta
- NIHR Applied Research Collaboration, King's College London, London, United Kingdom
| | - Harriet Jordan
- NIHR Applied Research Collaboration, King's College London, London, United Kingdom.,Institute of Psychiatry, Psychology and Neuroscience, King's College London and South London and Maudsley NHS Trust, London, United Kingdom
| | - Luke Sheridan-Rains
- NIHR Mental Health Policy Research Unit, Division of Psychiatry, University College London, London, United Kingdom
| | - Thomas Steare
- NIHR Mental Health Policy Research Unit, Division of Psychiatry, University College London, London, United Kingdom
| | - Julie Williams
- Centre for Implementation Science, Health Service and Population Research Department, King's College London, London, United Kingdom
| | - Lisa Wood
- Division of Psychiatry, University College London, London, United Kingdom
| | - Fiona Gaughran
- NIHR Applied Research Collaboration, King's College London, London, United Kingdom.,Institute of Psychiatry, Psychology and Neuroscience, King's College London and South London and Maudsley NHS Trust, London, United Kingdom
| | - Sonia Johnson
- NIHR Mental Health Policy Research Unit, Division of Psychiatry, University College London, London, United Kingdom.,Camden and Islington NHS Foundation Trust, London, United Kingdom
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Haidous M, Tawil M, Naal H, Mahmoud H. A review of evaluation approaches for telemental health programs. Int J Psychiatry Clin Pract 2021; 25:195-205. [PMID: 33243045 DOI: 10.1080/13651501.2020.1846751] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
PURPOSE Although studies have examined the effectiveness of telemental health programs, optimal approaches for their evaluation remain unclear. We sought to review the outcomes used to evaluate telemental health programs. METHODS We conducted a literature search in PubMed and Google Scholar for peer-reviewed studies published between January 2010 until October 2019, and we excluded review articles, opinion papers, presentations, abstracts, and program report without data. RESULTS 1310 articles were identified, 34 of which were reviewed. Studies used a combination of non-clinical and clinical outcomes, most commonly engagement and impact rates, and standardised clinical measures. Very few studies examined technological feasibility, cost-effectiveness, and qualitative satisfaction reports. CONCLUSIONS This review is the first to summarise approaches to evaluate telemental health programs. Strengths and weaknesses of the evaluation outcomes are discussed in this review, highlighting essential factors that should be taken into consideration when developing a standardised framework for the evaluation of future telemental health programs.KEY POINTSThe methods used to evaluate telemental health programs are varied and no gold-standard for measurement of success exists.Clinical and non-clinical outcomes are being used to evaluate telemental health programs.More emphasis should be placed on feasibility measures such as cost-effectiveness.Therapeutic alliance should be a crucial part of evaluation of any telemental health program.Longer follow up times and larger sample sizes, as well as more diverse populations, are needed to generalise outcomes.Utilisation of clinical tools to assess success should be limited to standardised measures commonly used in clinical practice.
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Affiliation(s)
- Mohammad Haidous
- Department of Internal Medicine, St. Vincent Charity Medical Center, Cleveland, OH, USA
| | - Michel Tawil
- Department of Pathology and Laboratory Medicine, SUNY Upstate Medical University, Syracuse, NY, USA
| | - Hady Naal
- Global Health Institute at the American University of Beirut, Beirut, Lebanon
| | - Hossam Mahmoud
- Clinical Assistant Professor, Tufts University School of Medicine, Boston, MA
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Wagner LI, Tooze JA, Hall DL, Levine BJ, Beaumont J, Duffecy J, Victorson D, Gradishar W, Leach J, Saphner T, Sturtz K, Smith ML, Penedo F, Mohr DC, Cella D. Targeted eHealth Intervention to Reduce Breast Cancer Survivors' Fear of Recurrence: Results from the FoRtitude Randomized Trial. J Natl Cancer Inst 2021; 113:1495-1505. [PMID: 34057469 PMCID: PMC8244801 DOI: 10.1093/jnci/djab100] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Revised: 03/04/2021] [Accepted: 04/26/2021] [Indexed: 11/25/2022] Open
Abstract
Background Fear of recurrence (FoR) is a prevalent concern among breast cancer survivors (BCS), yet few accessible interventions exist. This study evaluated a targeted eHealth intervention, “FoRtitude,” to reduce FoR using cognitive behavioral skills training and telecoaching. Methods BCS (N = 196) were recruited from an academic medical center and 3 National Cancer Institute Community Oncology Research Program community sites, had stage 0-III breast cancer, were 1-10 years postprimary treatment, with moderate to high FoR and familiarity with the internet. Using the Multiphase Optimization Strategy, participants were independently randomly assigned to 3 cognitive behavioral skills (relaxation, cognitive restructuring, worry practice) vs an attention control condition (health management content [HMC]) and to telecoaching (motivational interviewing) vs no telecoaching. Website content was released across 4 weeks and included didactic lessons, interactive tools, and a text-messaging feature. BCS completed the Fear of Cancer Recurrence Inventory at baseline and at 4 and 8 weeks. Fear of Cancer Recurrence Inventory scores over time were compared using mixed-effects models. All statistical tests were 2-sided. Results FCRI scores [SD] decreased statistically significantly from baseline to postintervention (T0 = 53.1 [17.4], T2 = 41.9 [16.2], P < .001). The magnitude of reduction in FCRI scores was comparable across cognitive behavior therapy (CBT) and attention control HMC conditions and was predicted by increased self-efficacy. Telecoaching was associated with lower attrition and greater website use (mean adherence score [SD] = 26.6 [7.2] vs 21.0 [10.5], P < .001). Conclusions BCS experienced statistically significant reductions in FoR postintervention, but improvements were comparable between CBT and attention controls. Telecoaching improved adherence and retention. Future research is needed on optimal integration of CBT and HMC, dose, and features of eHealth delivery that contributed to reducing FoR. In the COVID-19 era, remote delivery has become even more essential for reaching survivors struggling with FoR.
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Affiliation(s)
- Lynne I Wagner
- Department of Social Sciences and Health Policy, Wake Forest School of Medicine, Winston Salem, NC
| | - Janet A Tooze
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston Salem, NC
| | - Daniel L Hall
- Department of Psychiatry, Harvard Medical School, Boston, MA
| | - Beverly J Levine
- Department of Social Sciences and Health Policy, Wake Forest School of Medicine, Winston Salem, NC
| | | | - Jenna Duffecy
- Department of Psychiatry, University of Illinois, Chicago, IL
| | - David Victorson
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - William Gradishar
- Department of Medicine/Division of Hematology & Oncology, Northwestern University Feinberg School of Medicine, Chicago, IL
| | | | | | | | | | - Frank Penedo
- Departments of Medicine and Psychology, University of Miami, Coral Gables, FL
| | - David C Mohr
- Department of Preventive Medicine and Center for Behavioral Intervention Technologies, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - David Cella
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL
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McCall HC, Hadjistavropoulos HD, Sundström CRF. Exploring the Role of Persuasive Design in Unguided Internet-Delivered Cognitive Behavioral Therapy for Depression and Anxiety Among Adults: Systematic Review, Meta-analysis, and Meta-regression. J Med Internet Res 2021; 23:e26939. [PMID: 33913811 PMCID: PMC8120424 DOI: 10.2196/26939] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2021] [Revised: 02/14/2021] [Accepted: 04/11/2021] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Internet-delivered cognitive behavioral therapy (ICBT) is an effective treatment that can overcome barriers to mental health care. Various research groups have suggested that unguided ICBT (ie, ICBT without therapist support) and other eHealth interventions can be designed to enhance user engagement and thus outcomes. The persuasive systems design framework captures most design recommendations for eHealth interventions, but there is little empirical evidence that persuasive design is related to clinical outcomes in unguided ICBT. OBJECTIVE This study aims to provide an updated meta-analysis of randomized controlled trials of unguided ICBT for depression and anxiety, describe the frequency with which various persuasive design principles are used in such interventions, and use meta-regression to explore whether a greater number of persuasive design elements predicts efficacy in unguided ICBT for depression and anxiety. METHODS We conducted a systematic review of 5 databases to identify randomized controlled trials of unguided ICBT for depression and anxiety. We conducted separate random effects meta-analyses and separate meta-regressions for depression and anxiety interventions. Each meta-regression included 2 steps. The first step included, as a predictor, whether each intervention was transdiagnostic. For the meta-regression of ICBT for depression, the first step also included the type of control condition. The number of persuasive design principles identified for each intervention was added as a predictor in the second step to reveal the additional variance in effect sizes explained by persuasive design. RESULTS Of the 4471 articles we identified in our search, 46 (1.03%) were eligible for inclusion in our analyses. Our meta-analyses showed effect sizes (Hedges g) ranging from 0.22 to 0.31 for depression interventions, depending on the measures taken to account for bias in the results. We found a mean effect size of 0.45 (95% CI 0.33-0.56) for anxiety interventions, with no evidence that the results were inflated by bias. Included interventions were identified as using between 1 and 13 persuasive design principles, with an average of 4.95 (SD 2.85). The meta-regressions showed that a greater number of persuasive design principles predicted greater efficacy in ICBT for depression (R2 change=0.27; B=0.04; P=.02) but not anxiety (R2 change=0.05; B=0.03; P=.17). CONCLUSIONS These findings show wide variability in the use of persuasive design in unguided ICBT for depression and anxiety and provide preliminary support for the proposition that more persuasively designed interventions are more efficacious, at least in the treatment of depression. Further research is needed to clarify the role of persuasive design in ICBT.
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Affiliation(s)
- Hugh C McCall
- Department of Psychology, University of Regina, Regina, SK, Canada
- PSPNET, University of Regina, Regina, SK, Canada
| | - Heather D Hadjistavropoulos
- Department of Psychology, University of Regina, Regina, SK, Canada
- PSPNET, University of Regina, Regina, SK, Canada
| | - Christopher Richard Francis Sundström
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
- Department of Psychology, Stockholm University, Stockholm, Sweden
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Karyotaki E, Efthimiou O, Miguel C, Bermpohl FMG, Furukawa TA, Cuijpers P. Internet-Based Cognitive Behavioral Therapy for Depression: A Systematic Review and Individual Patient Data Network Meta-analysis. JAMA Psychiatry 2021; 78:361-371. [PMID: 33471111 PMCID: PMC8027916 DOI: 10.1001/jamapsychiatry.2020.4364] [Citation(s) in RCA: 311] [Impact Index Per Article: 103.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Accepted: 11/23/2020] [Indexed: 12/11/2022]
Abstract
Importance Personalized treatment choices would increase the effectiveness of internet-based cognitive behavioral therapy (iCBT) for depression to the extent that patients differ in interventions that better suit them. Objective To provide personalized estimates of short-term and long-term relative efficacy of guided and unguided iCBT for depression using patient-level information. Data Sources We searched PubMed, Embase, PsycInfo, and Cochrane Library to identify randomized clinical trials (RCTs) published up to January 1, 2019. Study Selection Eligible RCTs were those comparing guided or unguided iCBT against each other or against any control intervention in individuals with depression. Available individual patient data (IPD) was collected from all eligible studies. Depression symptom severity was assessed after treatment, 6 months, and 12 months after randomization. Data Extraction and Synthesis We conducted a systematic review and IPD network meta-analysis and estimated relative treatment effect sizes across different patient characteristics through IPD network meta-regression. Main Outcomes and Measures Patient Health Questionnaire-9 (PHQ-9) scores. Results Of 42 eligible RCTs, 39 studies comprising 9751 participants with depression contributed IPD to the IPD network meta-analysis, of which 8107 IPD were synthesized. Overall, both guided and unguided iCBT were associated with more effectiveness as measured by PHQ-9 scores than control treatments over the short term and the long term. Guided iCBT was associated with more effectiveness than unguided iCBT (mean difference [MD] in posttreatment PHQ-9 scores, -0.8; 95% CI, -1.4 to -0.2), but we found no evidence of a difference at 6 or 12 months following randomization. Baseline depression was found to be the most important modifier of the relative association for efficacy of guided vs unguided iCBT. Differences between unguided and guided iCBT in people with baseline symptoms of subthreshold depression (PHQ-9 scores 5-9) were small, while guided iCBT was associated with overall better outcomes in patients with baseline PHQ-9 greater than 9. Conclusions and Relevance In this network meta-analysis with IPD, guided iCBT was associated with more effectiveness than unguided iCBT for individuals with depression, benefits were more substantial in individuals with moderate to severe depression. Unguided iCBT was associated with similar effectiveness among individuals with symptoms of mild/subthreshold depression. Personalized treatment selection is entirely possible and necessary to ensure the best allocation of treatment resources for depression.
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Affiliation(s)
- Eirini Karyotaki
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
- Department of Clinical Neuro- and Developmental Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts
| | - Orestis Efthimiou
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
- Department of Psychiatry, University of Oxford, Oxford, England
| | - Clara Miguel
- Department of Clinical Neuro- and Developmental Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | | | - Toshi A. Furukawa
- Department of Clinical Psychology and Psychotherapy, University of Wuppertal, Wuppertal, Germany
- Department of Health Promotion and Human Behavior, Department of Clinical Epidemiology, Kyoto University Graduate School of Medicine/School of Public Health, Kyoto, Japan
| | - Pim Cuijpers
- Department of Clinical Neuro- and Developmental Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
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Dopke CA, McBride A, Babington P, Jonathan GK, Michaels T, Ryan C, Duffecy J, Mohr DC, Goulding EH. Development of Coaching Support for LiveWell: A Smartphone-Based Self-Management Intervention for Bipolar Disorder. JMIR Form Res 2021; 5:e25810. [PMID: 33759798 PMCID: PMC8075075 DOI: 10.2196/25810] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 12/14/2020] [Accepted: 01/17/2021] [Indexed: 12/13/2022] Open
Abstract
Despite effective pharmacological treatment, bipolar disorder is a leading cause of disability due to recurrence of episodes, long episode durations, and persistence of interepisode symptoms. While adding psychotherapy to pharmacotherapy improves outcomes, the availability of adjunctive psychotherapy is limited. To extend the accessibility and functionality of psychotherapy for bipolar disorder, we developed LiveWell, a smartphone-based self-management intervention. Unfortunately, many mental health technology interventions suffer from high attrition rates, with users rapidly failing to maintain engagement with the intervention technology. Human support reduces this commonly observed engagement problem but does not consistently improve clinical and recovery outcomes. To facilitate ongoing efforts to develop human support for digital mental health technologies, this paper describes the design decisions, theoretical framework, content, mode, timing of delivery, and the training and supervision for coaching support of the LiveWell technology. This support includes clearly defined and structured roles that aim to encourage the use of the technology, self-management strategies, and communication with care providers. A clear division of labor is established between the coaching support roles and the intervention technology to allow lay personnel to serve as coaches and thereby maximize accessibility to the LiveWell intervention.
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Affiliation(s)
- Cynthia A Dopke
- Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Alyssa McBride
- Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Pamela Babington
- Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Geneva K Jonathan
- Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Tania Michaels
- General Pediatrics, Loma Linda Children's Hospital, Loma Linda, CA, United States
| | - Chloe Ryan
- Department of Social Work, UPMC Western Psychiatric Hospital, Pittsburgh, PA, United States
| | - Jennifer Duffecy
- Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, United States
| | - David C Mohr
- Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Evan H Goulding
- Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
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Mariamo A, Temcheff CE, Léger PM, Senecal S, Lau MA. Emotional Reactions and Likelihood of Response to Questions Designed for a Mental Health Chatbot Among Adolescents: Experimental Study. JMIR Hum Factors 2021; 8:e24343. [PMID: 33734089 PMCID: PMC8080266 DOI: 10.2196/24343] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Revised: 12/27/2020] [Accepted: 01/17/2021] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Psychological distress increases across adolescence and has been associated with several important health outcomes with consequences that can extend into adulthood. One type of technological innovation that may serve as a unique intervention for youth experiencing psychological distress is the conversational agent, otherwise known as a chatbot. Further research is needed on the factors that may make mental health chatbots destined for adolescents more appealing and increase the likelihood that adolescents will use them. OBJECTIVE The aim of this study was to assess adolescents' emotional reactions and likelihood of responding to questions that could be posed by a mental health chatbot. Understanding adolescent preferences and factors that could increase adolescents' likelihood of responding to chatbot questions could assist in future mental health chatbot design destined for youth. METHODS We recruited 19 adolescents aged 14 to 17 years to participate in a study with a 2×2×3 within-subjects factorial design. Each participant was sequentially presented with 96 chatbot questions for a duration of 8 seconds per question. Following each presentation, participants were asked to indicate how likely they were to respond to the question, as well as their perceived affective reaction to the question. Demographic data were collected, and an informal debriefing was conducted with each participant. RESULTS Participants were an average of 15.3 years old (SD 1.00) and mostly female (11/19, 58%). Logistic regressions showed that the presence of GIFs predicted perceived emotional valence (β=-.40, P<.001), such that questions without GIFs were associated with a negative perceived emotional valence. Question type predicted emotional valence, such that yes/no questions (β=-.23, P=.03) and open-ended questions (β=-.26, P=.01) were associated with a negative perceived emotional valence compared to multiple response choice questions. Question type also predicted the likelihood of response, such that yes/no questions were associated with a lower likelihood of response compared to multiple response choice questions (β=-.24, P=.03) and a higher likelihood of response compared to open-ended questions (β=.54, P<.001). CONCLUSIONS The findings of this study add to the rapidly growing field of teen-computer interaction and contribute to our understanding of adolescent user experience in their interactions with a mental health chatbot. The insights gained from this study may be of assistance to developers and designers of mental health chatbots.
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Affiliation(s)
- Audrey Mariamo
- Department of Educational and Counselling Psychology, McGill University, Montreal, QC, Canada
| | | | | | | | - Marianne Alexandra Lau
- Department of Educational and Counselling Psychology, McGill University, Montreal, QC, Canada
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Stanger C, Kowatsch T, Xie H, Nahum-Shani I, Lim-Liberty F, Anderson M, Santhanam P, Kaden S, Rosenberg B. A Digital Health Intervention (SweetGoals) for Young Adults With Type 1 Diabetes: Protocol for a Factorial Randomized Trial. JMIR Res Protoc 2021; 10:e27109. [PMID: 33620330 PMCID: PMC7943343 DOI: 10.2196/27109] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 01/14/2021] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Many young adults with type 1 diabetes (T1D) struggle with the complex daily demands of adherence to their medical regimen and fail to achieve target range glycemic control. Few interventions, however, have been developed specifically for this age group. OBJECTIVE In this randomized trial, we will provide a mobile app (SweetGoals) to all participants as a "core" intervention. The app prompts participants to upload data from their diabetes devices weekly to a device-agnostic uploader (Glooko), automatically retrieves uploaded data, assesses daily and weekly self-management goals, and generates feedback messages about goal attainment. Further, the trial will test two unique intervention components: (1) incentives to promote consistent daily adherence to goals, and (2) web health coaching to teach effective problem solving focused on personalized barriers to self-management. We will use a novel digital direct-to-patient recruitment method and intervention delivery model that transcends the clinic. METHODS A 2x2 factorial randomized trial will be conducted with 300 young adults ages 19-25 with type 1 diabetes and (Hb)A1c ≥ 8.0%. All participants will receive the SweetGoals app that tracks and provides feedback about two adherence targets: (a) daily glucose monitoring; and (b) mealtime behaviors. Participants will be randomized to the factorial combination of incentives and health coaching. The intervention will last 6 months. The primary outcome will be reduction in A1c. Secondary outcomes include self-regulation mechanisms in longitudinal mediation models and engagement metrics as a predictor of outcomes. Participants will complete 6- and 12-month follow-up assessments. We hypothesize greater sustained A1c improvements in participants who receive coaching and who receive incentives compared to those who do not receive those components. RESULTS Data collection is expected to be complete by February 2025. Analyses of primary and secondary outcomes are expected by December 2025. CONCLUSIONS Successful completion of these aims will support dissemination and effectiveness studies of this intervention that seeks to improve glycemic control in this high-risk and understudied population of young adults with T1D. TRIAL REGISTRATION ClinicalTrials.gov NCT04646473; https://clinicaltrials.gov/ct2/show/NCT04646473. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) PRR1-10.2196/27109.
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Affiliation(s)
- Catherine Stanger
- Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States
| | - Tobias Kowatsch
- Centre for Digital Health Interventions, Department of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland.,Centre for Digital Health Interventions, Institute of Technology Management, University of St Gallen, St Gallen, Switzerland
| | - Haiyi Xie
- Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States
| | - Inbal Nahum-Shani
- Institute for Social Research, University of Michigan, Ann Arbor, MI, United States
| | | | - Molly Anderson
- Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States
| | - Prabhakaran Santhanam
- Centre for Digital Health Interventions, Department of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland
| | - Sarah Kaden
- Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States
| | - Briana Rosenberg
- Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States
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Köhnen M, Dreier M, Seeralan T, Kriston L, Härter M, Baumeister H, Liebherz S. Evidence on Technology-Based Psychological Interventions in Diagnosed Depression: Systematic Review. JMIR Ment Health 2021; 8:e21700. [PMID: 33565981 PMCID: PMC7904404 DOI: 10.2196/21700] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Revised: 10/30/2020] [Accepted: 11/18/2020] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Evidence on technology-based psychological interventions (TBIs) for the treatment of depression is rapidly growing and covers a broad scope of research. Despite extensive research in this field, guideline recommendations are still limited to the general effectiveness of TBIs. OBJECTIVE This study aims to structure evidence on TBIs by considering different application areas (eg, TBIs for acute treatment and their implementation in health care, such as stand-alone interventions) and treatment characteristics (eg, therapeutic rationale of TBIs) to provide a comprehensive evidence base and to identify research gaps in TBIs for diagnosed depression. Moreover, the reporting of negative events in the included studies is investigated in this review to enable subsequent safety assessment of the TBIs. METHODS Randomized controlled trials on adults diagnosed with unipolar depression receiving any kind of psychotherapeutic treatment, which was at least partly delivered by a technical medium, were eligible for inclusion in our preregistered systematic review. We searched for trials in CENTRAL (Cochrane Central Register of Controlled Trials; until August 2020), MEDLINE, PsycINFO, PSYNDEX, CINAHL; until the end of January 2018), clinical trial registers, and sources of gray literature (until the end of January 2019). Study selection and data extraction were conducted by 2 review authors independently. RESULTS Database searches resulted in 15,546 records, of which 241 publications were included, representing 83 completed studies and 60 studies awaiting classification (ie, preregistered studies, study protocols). Almost all completed studies (78/83, 94%) addressed the acute treatment phase, being largely either implemented as stand-alone interventions (66/83, 80%) or blended treatment approaches (12/83, 14%). Studies on TBIs for aftercare (4/83, 5%) and for bridging waiting periods (1/83, 1%) were scarce. Most TBI study arms (n=107) were guided (59/107, 55.1%), delivered via the internet (80/107, 74.8%), and based on cognitive behavioral treatment approaches (88/107, 79.4%). Almost all studies (77/83, 93%) reported information on negative events, considering dropouts from treatment as a negative event. However, reports on negative events were heterogeneous and largely unsystematic. CONCLUSIONS Research has given little attention to studies evaluating TBIs for aftercare and for bridging waiting periods in people with depression, even though TBIs are seen as highly promising in these application areas; thus, high quality studies are urgently needed. In addition, the variety of therapeutic rationales on TBIs has barely been represented by identified studies hindering the consideration of patient preferences when planning treatment. Finally, future studies should use specific guidelines to systematically assess and report negative events. TRIAL REGISTRATION International Prospective Register of Systematic Reviews (PROSPERO) CRD42016050413; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42016050413. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) RR2-10.1136/bmjopen-2018-028042.
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Affiliation(s)
- Moritz Köhnen
- Department of Medical Psychology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Mareike Dreier
- Department of Medical Psychology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Tharanya Seeralan
- Department of Medical Psychology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Levente Kriston
- Department of Medical Psychology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Martin Härter
- Department of Medical Psychology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Harald Baumeister
- Department for Clinical Psychology and Psychotherapy, Ulm University, Ulm, Germany
| | - Sarah Liebherz
- Department of Medical Psychology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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Levin ME, Krafft J, Davis CH, Twohig MP. Evaluating the effects of guided coaching calls on engagement and outcomes for online acceptance and commitment therapy. Cogn Behav Ther 2021; 50:395-408. [PMID: 33433264 DOI: 10.1080/16506073.2020.1846609] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Previous research indicates mixed results for guided support with online interventions. The current secondary analysis evaluated the effects of phone coaching from a dismantling trial of online acceptance and commitment therapy (ACT) in a sample of 136 distressed college students randomized to one of three versions of an ACT website. Participants were randomized to receive email prompts alone (non-coaching condition) or email plus phone coaching (coaching condition). Results indicated no differences between the coaching and non-coaching conditions on program engagement, program satisfaction, mental health outcomes, and almost all psychological flexibility processes. However, participants in the coaching condition reported stronger pre- to posttreatment improvements in psychological inflexibility than the non-coaching condition. This effect was moderated by ACT component condition, with larger pre- to posttreatment effects from coaching on psychological inflexibility in the values/committed action condition and weaker improvements from coaching in the acceptance/defusion condition. Overall, results indicate online self-guided ACT interventions with email prompts are sufficient for addressing college student mental health and that phone coaching provided minimal additional benefit.
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Affiliation(s)
- Michael E Levin
- Department of Psychology, Utah State University, Logan, UT, USA
| | | | - Carter H Davis
- Department of Psychology, Utah State University, Logan, UT, USA
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Hegy JK, Brog NA, Berger T, Znoj H. Web-based Self-help Program for Adjustment Problems After an Accident (SelFIT): Protocol for a Randomized Controlled Trial. JMIR Res Protoc 2020; 9:e21200. [PMID: 33331830 PMCID: PMC7775196 DOI: 10.2196/21200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Revised: 08/12/2020] [Accepted: 11/10/2020] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Accidents and the resulting injuries are among the world's biggest health care issues, often causing long-term effects on psychological and physical health. With regard to psychological consequences, accidents can cause a wide range of burdens including adjustment problems. Although adjustment problems are among the most frequent mental health problems, there are few specific interventions available. The newly developed program SelFIT (German acronym: Selber wieder fit nach einem Unfall; "fit again after an accident") aims to remedy this situation by offering a low-threshold, web-based self-help intervention for psychological distress after an accident. OBJECTIVE The overall aim is to evaluate the efficacy and cost-effectiveness of the SelFIT program plus care as usual (CAU) compared to only CAU. Furthermore, the program's user-friendliness, acceptance, and adherence are assessed. We expect that the use of SelFIT will be associated with a greater reduction in psychological distress, greater improvement in mental and physical well-being, and greater cost-effectiveness compared to CAU. METHODS Adults (n=240) experiencing adjustment problems due to an accident they had between 2 weeks and 2 years before entering the study will be randomized into either the intervention or control group. Participants in the intervention group receive direct access to SelFIT. The control group receives access to the program after 12 weeks. There are 6 measurement points for both groups (baseline as well as after 4, 8, 12, 24, and 36 weeks). The main outcome is a reduction in anxiety, depression, and stress symptoms that indicate adjustment problems. Secondary outcomes include well-being, optimism, embitterment, self-esteem, self-efficacy, emotion regulation, pain, costs of health care consumption, and productivity loss, as well as the program's adherence, acceptance, and user-friendliness. RESULTS Recruitment began in December 2019 and will continue at least until January 2021, with the option to extend this for another 6 months until July 2021. As of July 2020, 324 people have shown interest in participating, and 48 people have given their informed consent. CONCLUSIONS To the best of our knowledge, this is the first study examining a web-based self-help program designed to treat adjustment problems resulting from an accident. If effective, the program could complement the still limited offerings for secondary and tertiary prevention of psychological distress after an accident. TRIAL REGISTRATION ClinicalTrials.gov NCT03785912; https://clinicaltrials.gov/ct2/show/NCT03785912. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/21200.
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Affiliation(s)
- Julia Katharina Hegy
- Department of Health Psychology and Behavioral Medicine, Institute of Psychology, University of Bern, Bern, Switzerland
| | - Noemi Anja Brog
- Department of Health Psychology and Behavioral Medicine, Institute of Psychology, University of Bern, Bern, Switzerland
| | - Thomas Berger
- Department of Clinical Psychology and Psychotherapy, Institute of Psychology, University of Bern, Bern, Switzerland
| | - Hansjoerg Znoj
- Department of Health Psychology and Behavioral Medicine, Institute of Psychology, University of Bern, Bern, Switzerland
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Mendes-Santos C, Andersson G, Weiderpass E, Santana R. Mitigating COVID-19 Impact on the Portuguese Population Mental Health: The Opportunity That Lies in Digital Mental Health. Front Public Health 2020; 8:553345. [PMID: 33313033 PMCID: PMC7701327 DOI: 10.3389/fpubh.2020.553345] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2020] [Accepted: 09/04/2020] [Indexed: 01/09/2023] Open
Abstract
COVID-19 mitigation measures present unprecedented challenges in mental healthcare delivery, posing high risk to the mental health of at-risk populations, namely patients diagnosed with COVID-19, frontline healthcare providers, and those submitted to quarantine or isolation measures, as well as the general population. Ensuring safe and equitable access to mental healthcare by these groups entails resorting to innovative psychosocial intervention strategies, such as digital mental health. In this perspective piece, we describe the impact of COVID-19 on the Portuguese population's mental health, present an overview on initiatives developed to address the challenges currently faced by the Portuguese mental healthcare system, and discuss how the timely implementation of a comprehensive digital mental health strategy, coupling research, education, implementation, and quality assessment initiatives, might buffer COVID-19's impact on the Portuguese society.
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Affiliation(s)
- Cristina Mendes-Santos
- Department of Culture and Society, Linköping University, Linköping, Sweden
- NOVA National School of Public Health, Public Health Research Centre, Universidade NOVA de Lisboa, Lisbon, Portugal
- Fraunhofer Center for Assistive Information and Communication Solutions, Porto, Portugal
| | - Gerhard Andersson
- Department of Behavioural Sciences and Learning, Linköping University, Linköping, Sweden
- Psychiatry Section, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | | | - Rui Santana
- NOVA National School of Public Health, Public Health Research Centre, Universidade NOVA de Lisboa, Lisbon, Portugal
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Dores AR, Geraldo A, Carvalho IP, Barbosa F. The Use of New Digital Information and Communication Technologies in Psychological Counseling during the COVID-19 Pandemic. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17207663. [PMID: 33096650 PMCID: PMC7589044 DOI: 10.3390/ijerph17207663] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Revised: 10/11/2020] [Accepted: 10/13/2020] [Indexed: 12/20/2022]
Abstract
The use of digital information and communication technologies (ICTs) has enabled many professionals to continue to provide their services during the COVID-19 pandemic. However, little is known about the adoption of ICTs by psychologists and the impact of such technologies on their practice. This study aimed to explore psychologists’ practices related with the use of ICTs before and during the COVID-19 lockdown, to identify the main changes that the pandemic has brought and the impact that such changes have had on their practice with clients, and also identify the factors that potentially have affected such changes. The Portuguese Psychologists Association announced the study, and 108 psychologists responded to an online survey during the mandatory lockdown. The results showed that these professionals continued to provide their services due to having adopted ICTs. Comparing with face-to-face interventions, psychologists recognized that additional precautions/knowledge were needed to use such technologies. Despite the challenges identified, they described the experience with the use of ICTs as positive, meeting clients’ adherence, and yielding positive results. Psychologists with the most years of professional experience maintained their services the most, but those with average experience showed the most favorable attitudes toward the use of technologies and web-based interventions.
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Affiliation(s)
- Artemisa R. Dores
- Center for Rehabilitation Research, School of Health, Polytechnic Institute of Porto, 4200-072 Porto, Portugal
- Laboratory of Neuropsychophysiology, Faculty of Psychology and Education Sciences of University of Porto, 4200-135 Porto, Portugal; (A.G.); (F.B.)
- Correspondence:
| | - Andreia Geraldo
- Laboratory of Neuropsychophysiology, Faculty of Psychology and Education Sciences of University of Porto, 4200-135 Porto, Portugal; (A.G.); (F.B.)
| | - Irene P. Carvalho
- CINTESIS and Department of Clinical Neurosciences and Mental Health, School of Medicine, University of Porto (FMUP), 4200-319 Porto, Portugal;
| | - Fernando Barbosa
- Laboratory of Neuropsychophysiology, Faculty of Psychology and Education Sciences of University of Porto, 4200-135 Porto, Portugal; (A.G.); (F.B.)
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Renfrew ME, Morton DP, Morton JK, Hinze JS, Przybylko G, Craig BA. The Influence of Three Modes of Human Support on Attrition and Adherence to a Web- and Mobile App-Based Mental Health Promotion Intervention in a Nonclinical Cohort: Randomized Comparative Study. J Med Internet Res 2020; 22:e19945. [PMID: 32990633 PMCID: PMC7556377 DOI: 10.2196/19945] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Revised: 07/22/2020] [Accepted: 08/03/2020] [Indexed: 12/21/2022] Open
Abstract
Background The escalating prevalence of mental health disorders necessitates a greater focus on web- and mobile app–based mental health promotion initiatives for nonclinical groups. However, knowledge is scant regarding the influence of human support on attrition and adherence and participant preferences for support in nonclinical settings. Objective This study aimed to compare the influence of 3 modes of human support on attrition and adherence to a digital mental health intervention for a nonclinical cohort. It evaluated user preferences for support and assessed whether adherence and outcomes were enhanced when participants received their preferred support mode. Methods Subjects participated in a 10-week digital mental health promotion intervention and were randomized into 3 comparative groups: standard group with automated emails (S), standard plus personalized SMS (S+pSMS), and standard plus weekly videoconferencing support (S+VCS). Adherence was measured by the number of video lessons viewed, points achieved for weekly experiential challenge activities, and the total number of weeks that participants recorded a score for challenges. In the postquestionnaire, participants ranked their preferred human support mode from 1 to 4 (S, S+pSMS, S+VCS, S+pSMS & VCS combined). Stratified analysis was conducted for those who received their first preference. Preintervention and postintervention questionnaires assessed well-being measures (ie, mental health, vitality, depression, anxiety, stress, life satisfaction, and flourishing). Results Interested individuals (N=605) enrolled on a website and were randomized into 3 groups (S, n=201; S+pSMS, n=202; S+VCS, n=201). Prior to completing the prequestionnaire, a total of 24.3% (147/605) dropped out. Dropout attrition between groups was significantly different (P=.009): 21.9% (44/201) withdrew from the S group, 19.3% (39/202) from the S+pSMS
group, and 31.6% (64/202) from the S+VCS group. The remaining 75.7% (458/605) registered and completed the prequestionnaire (S, n=157; S+pSMS, n=163; S+VCS, n=138). Of the registered participants, 30.1% (138/458) failed to complete the postquestionnaire (S, n=54; S+pSMS, n=49; S+VCS, n=35), but there were no between-group differences (P=.24). For the 69.9% (320/458; S, n=103; S+pSMS, n=114; S+VCS, n=103) who completed the postquestionnaire, no between-group differences in adherence were observed for mean number of videos watched (P=.42); mean challenge scores recorded (P=.71); or the number of weeks that challenge scores were logged (P=.66). A total of 56 participants (17.5%, 56/320) received their first preference in human support (S, n=22; S+pSMS, n=26; S+VCS, n=8). No differences were observed between those who received their first preference and those who did not with regard to video adherence (P=.91); challenge score adherence (P=.27); or any of the well-being measures including, mental health (P=.86), vitality (P=.98), depression (P=.09), anxiety (P=.64), stress (P=.55), life satisfaction (P=.50), and flourishing (P=.47). Conclusions Early dropout attrition may have been influenced by dissatisfaction with the allocated support mode. Human support mode did not impact adherence to the intervention, and receiving the preferred support style did not result in greater adherence or better outcomes. Trial Registration Australian New Zealand Clinical Trials Registry (ANZCTR): 12619001009101; http://www.anzctr.org.au/ACTRN12619001009101.aspx
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Affiliation(s)
- Melanie Elise Renfrew
- Lifestyle and Health Research Centre, Avondale University College, Cooranbong, Australia
| | - Darren Peter Morton
- Lifestyle and Health Research Centre, Avondale University College, Cooranbong, Australia
| | - Jason Kyle Morton
- Lifestyle and Health Research Centre, Avondale University College, Cooranbong, Australia
| | - Jason Scott Hinze
- Lifestyle and Health Research Centre, Avondale University College, Cooranbong, Australia
| | - Geraldine Przybylko
- Lifestyle and Health Research Centre, Avondale University College, Cooranbong, Australia
| | - Bevan Adrian Craig
- Lifestyle and Health Research Centre, Avondale University College, Cooranbong, Australia
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Köhnen M, Kriston L, Härter M, Baumeister H, Liebherz S. Effectiveness and acceptance of technology-based psychological interventions for the acute treatment of unipolar depression: a systematic review and meta-analysis (Preprint). J Med Internet Res 2020; 23:e24584. [PMID: 36260395 PMCID: PMC8386371 DOI: 10.2196/24584] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Revised: 02/08/2021] [Accepted: 04/04/2021] [Indexed: 11/13/2022] Open
Abstract
Background Evidence on technology-based psychological interventions (TBIs) for the acute treatment of depression is rapidly growing. Despite extensive research in this field, there is a lack of research determining effectiveness and acceptance of TBIs considering different application formats in people with a formally diagnosed depressive disorder. Objective The goal of the review was to investigate the effectiveness and acceptance of TBIs in people with diagnosed depression with particular focus on application formats (stand-alone interventions, blended treatments, collaborative and/or stepped care interventions). Methods Studies investigating adults with diagnosed unipolar depressive disorders receiving any kind of psychotherapeutic treatment delivered (at least partly) by a technical medium and conducted as randomized controlled trials (RCTs) were eligible for inclusion. We searched CENTRAL (Cochrane Central Register of Controlled Trials; August 2020), MEDLINE, PsycINFO, PSYNDEX, CINAHL (January 2018), clinical trial registers, and sources of grey literature (January 2019). Two independent authors decided about study inclusion and extracted data. We performed random effects meta-analyses to synthesize the data. Results Database searches resulted in 15,546 records of which 78 completed studies were included. TBIs delivered as stand-alone interventions showed positive effects on posttreatment depression severity when compared to treatment as usual (SMD –0.44, 95% CI –0.73 to –0.15, k=10; I²=86%), attention placebo (SMD –0.51, 95% CI –0.73 to –0.30; k=12; I²=66%), and waitlist controls (SMD –1.01, 95% CI –1.23 to –0.79; k=19; I²=73%). Superior long-term effects on depression severity were shown when TBIs were compared to treatment as usual (SMD –0.24, 95% CI –0.41 to –0.07; k=6; I²=48%) attention placebo (SMD –0.23, 95% CI –0.40 to –0.07; k=7; I²=21%) and waitlist controls (SMD –0.74, 95% CI –1.31 to –0.18; k=3; I²=79%). TBIs delivered as blended treatments (providing a TBI as an add-on to face-to-face treatment) yielded beneficial effects on posttreatment depression severity (SMD –0.27, 95% CI –0.48 to –0.05; k=8; I²=53%) compared to face-to-face treatments only. Additionally, TBIs delivered within collaborative care trials were more effective in reducing posttreatment (SMD –0.20, 95% CI –0.36 to –0.04; k=2; I²=0%) and long-term (SMD –0.23, 95% CI –0.39 to –0.07; k=2; I²=0%) depression severity than usual care. Dropout rates did not differ between the intervention and control groups in any comparison (all P≥.09). Conclusions We found that TBIs are effective not only when delivered as stand-alone interventions but also when they are delivered as blended treatments or in collaborative care trials for people with diagnosed depression. Our results may be useful to inform routine care, since we focused specifically on different application formats, formally diagnosed patients, and the long-term effectiveness of TBIs. Trial Registration PROSPERO International Prospective Register of Systematic Reviews CRD42016050413; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42016050413 International Registered Report Identifier (IRRID) RR2-10.1136/bmjopen-2018-028042
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Affiliation(s)
- Moritz Köhnen
- Department of Medical Psychology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Levente Kriston
- Department of Medical Psychology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Martin Härter
- Department of Medical Psychology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Harald Baumeister
- Department for Clinical Psychology and Psychotherapy, University of Ulm, Ulm, Germany
| | - Sarah Liebherz
- Department of Medical Psychology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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Giovanelli A, Ozer EM, Dahl RE. Leveraging Technology to Improve Health in Adolescence: A Developmental Science Perspective. J Adolesc Health 2020; 67:S7-S13. [PMID: 32718517 PMCID: PMC8765767 DOI: 10.1016/j.jadohealth.2020.02.020] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2019] [Revised: 12/19/2019] [Accepted: 02/19/2020] [Indexed: 12/25/2022]
Abstract
As technologies continue to evolve at exponential rates, online platforms are becoming an increasingly salient social context for adolescents. Adolescents are often early adopters, savvy users, and innovators of technology use. This not only creates new vulnerabilities but also presents new opportunities for positive impact-particularly, the use of technology to promote healthy learning and adaptation during developmental windows of opportunity. For example, early adolescence appears to represent a developmental inflection point in health trajectories and in technology use in ways that may be strategically targeted for prevention and intervention. The field of adolescent health can capitalize on technology use during developmental windows of opportunity to promote well-being and behavior change in the following ways: (1) through a deeper understanding of the specific ways that developmental changes create new opportunities for motivation and engagement with technologies; (2) by leveraging these insights for more effective use of technology in intervention and prevention efforts; and (3) by combining developmental science-informed targeting with broader-reach technologic approaches to health behavior change at the population level (e.g., leveraging and changing social norms). Collaboration across disciplines-including developmental science, medicine, psychology, public health, and computer science-can create compelling innovations to use digital technology to promote health in adolescents.
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Affiliation(s)
- Alison Giovanelli
- Division of Adolescent and Young Adult Medicine, Department of Pediatrics, University of California, San Francisco, San Francisco, California.
| | - Elizabeth M. Ozer
- Division of Adolescent and Young Adult Medicine, Department of Pediatrics, University of California, San Francisco, 3333 California Street, Suite 245, San Francisco, CA, 94118,Office of Diversity & Outreach, University of California, San Francisco
| | - Ronald E. Dahl
- School of Public Health, Institute for Human Development, University of California, Berkeley, 2121 Berkeley Way West, Rm 3240, Berkeley, CA, 94704
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Evaluating the efficacy of the Family Check-Up Online: A school-based, eHealth model for the prevention of problem behavior during the middle school years. Dev Psychopathol 2020; 31:1873-1886. [PMID: 31407644 PMCID: PMC10077819 DOI: 10.1017/s0954579419000907] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
This study evaluated the efficacy of a family-centered preventive intervention, the Family Check-Up (FCU), delivered as an online, eHealth model to middle school families. To increase accessibility of family-centered prevention in schools, we adapted the evidence-based FCU to an online format, with the goal of providing a model of service delivery that is feasible, given limited staffing and resources in many schools. Building on prior research, we randomly assigned participants to waitlist control (n = 105), FCU Online as a web-based intervention (n = 109), and FCU Online with coaching support (n = 108). We tested the effects of the intervention on multiple outcomes, including parental self-efficacy, child self-regulation, and child behavior, in this registered clinical trial (NCT03060291). Families engaged in the intervention at a high rate (72% completed the FCU assessment) and completed 3-month posttest assessments with good retention (94% retained). Random assignment to the FCU Online with coaching support was associated with reduced emotional problems for children (p = .003, d = -0.32) and improved parental confidence and self-efficacy (p = .018, d = 0.25) when compared with waitlist controls. Risk moderated effects: at-risk youth showed stronger effects than did those with minimal risk. The results have implications for online delivery of family-centered interventions in schools.
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Passarotti AM, Balaban L, Colman LD, Katz LA, Trivedi N, Liu L, Langenecker SA. A Preliminary Study on the Functional Benefits of Computerized Working Memory Training in Children With Pediatric Bipolar Disorder and Attention Deficit Hyperactivity Disorder. Front Psychol 2020; 10:3060. [PMID: 32116872 PMCID: PMC7014966 DOI: 10.3389/fpsyg.2019.03060] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Accepted: 12/26/2019] [Indexed: 12/25/2022] Open
Abstract
Twenty-nine pediatric patients (age range, 10–16 years) with working memory (WM) deficits, including children with pediatric bipolar disorder (PBD) with and without attention-deficit hyperactivity disorder (ADHD) comorbidity and children with ADHD, underwent a Cogmed WM training program. For both patient groups, WM performance on Cogmed tasks and on the Digit Span test improved significantly after training. Moreover, the PBD group improved on Trails Making Test A and on the Inhibition Scale, the Behavior Regulation Index, and the Global Executive Composite of the Behavioral Rating Inventory of Executive Function. The ADHD group improved significantly on the Trails Making Test B, the Spatial Span Test, and the Reading Fluency Test of the Woodcock–Johnson III, as well as on depressive symptoms. The present findings suggest that working memory training is beneficial not only in youths with ADHD but also in youths with PBD. They also show evidence of near and far transfer of WM improvement in these patients, although in different ways for the two patient groups. Future studies examining the mechanisms of cognitive remediation in pediatric patients will aid in creating tailored illness-specific cognitive interventions.
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Affiliation(s)
- Alessandra M Passarotti
- Department of Psychology, The University of Illinois at Chicago, Chicago, IL, United States.,Institute for Health Research and Policy, The University of Illinois at Chicago, Chicago, IL, United States
| | - Livia Balaban
- Department of Psychology, Adler University, Chicago, IL, United States
| | - Liza D Colman
- Health Science Center, Texas Tech University, Lubbock, TX, United States
| | - Lindsay A Katz
- Department of Psychology, Roosevelt University, Chicago, IL, United States
| | - Nidhi Trivedi
- The Chicago School of Professional Psychology, Chicago, IL, United States
| | - Li Liu
- School of Public Health, The University of Illinois at Chicago, Chicago, IL, United States
| | - Scott A Langenecker
- Department of Psychiatry, College of Medicine, University of Utah, Salt Lake City, UT, United States
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Renfrew ME, Morton DP, Morton JK, Hinze JS, Beamish PJ, Przybylko G, Craig BA. A Web- and Mobile App-Based Mental Health Promotion Intervention Comparing Email, Short Message Service, and Videoconferencing Support for a Healthy Cohort: Randomized Comparative Study. J Med Internet Res 2020; 22:e15592. [PMID: 31904578 PMCID: PMC6971514 DOI: 10.2196/15592] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2019] [Revised: 10/14/2019] [Accepted: 10/20/2019] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND The rapid increase in mental health disorders has prompted a call for greater focus on mental health promotion and primary prevention. Web- and mobile app-based interventions present a scalable opportunity. Little is known about the influence of human support on the outcomes of these interventions. OBJECTIVE This study aimed to compare the influence of 3 modes of human support on the outcomes (ie, mental health, vitality, depression, anxiety, stress, life satisfaction, and flourishing) of a 10-week, Web- and mobile app-based, lifestyle-focused mental health promotion intervention among a healthy adult cohort. METHODS Participants were recruited voluntarily using a combination of online and offline advertising. They were randomized, unblinded into 3 groups differentiated by human support mode: Group 1 (n=201): standard-fully automated emails (S); Group 2 (n=202): standard plus personalized SMS (S+pSMS); and Group 3 (n=202): standard plus weekly videoconferencing support (S+VCS), hosted by 1 trained facilitator. Participants accessed the intervention, including the questionnaire, on a Web-based learning management system or through a mobile app. The questionnaire, administered at pre- and postintervention, contained self-reported measures of mental well-being, including the "mental health" and "vitality" subscales from the Short Form Health Survey-36, Depression Anxiety and Stress Scale-21, Diener Satisfaction With Life Scale (SWLS), and Diener Flourishing Scale. RESULTS Of 605 potential participants, 458 (S: n=157, S+pSMS: n=163, and S+VCS: n=138) entered the study by completing registration and the preintervention questionnaire. At post intervention, 320 out of 458 participants (69.9%; S: n=103, S+pSMS: n=114, and S+VCS: n=103) completed the questionnaire. Significant within-group improvements were recorded from pre- to postintervention in all groups and in every outcome measure (P≤.001). No significant between-group differences were observed for outcomes in any measure: mental health (P=.77), vitality (P=.65), depression (P=.93), anxiety (P=.25), stress (P.57), SWLS (P=.65), and Flourishing Scale (P=.99). Adherence was not significantly different between groups for mean videos watched (P=.42) and practical activity engagement (P=.71). Participation in videoconference support sessions (VCSSs) was low; 37 out of 103 (35.9%) participants did not attend any VCSSs, and only 19 out of 103 (18.4%) attended 7 or more out of 10 sessions. Stratification within the S+VCS group revealed that those who attended 7 or more VCSSs experienced significantly greater improvements in the domains of mental health (P=.006; d=0.71), vitality (P=.005; d=0.73), depression (P=.04; d=0.54), and life satisfaction (P=.046; d=0.50) compared with participants who attended less than 7. CONCLUSIONS A Web- and mobile app-based mental health promotion intervention enhanced domains of mental well-being among a healthy cohort, irrespective of human support. Low attendance at VCSSs hindered the ability to make meaningful between-group comparisons. Supplementing the intervention with VCSSs might improve outcomes when attendance is optimized. TRIAL REGISTRATION Australian New Zealand Clinical Trials Registry (ANZCTR): 12619001009101; http://www.anzctr.org.au/ACTRN12619001009101.aspx.
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Affiliation(s)
- Melanie Elise Renfrew
- Lifestyle and Health Research Centre, Avondale University College, Cooranbong, New South Wales, Australia
| | - Darren Peter Morton
- Lifestyle and Health Research Centre, Avondale University College, Cooranbong, New South Wales, Australia
| | - Jason Kyle Morton
- Lifestyle and Health Research Centre, Avondale University College, Cooranbong, New South Wales, Australia
| | - Jason Scott Hinze
- Lifestyle and Health Research Centre, Avondale University College, Cooranbong, New South Wales, Australia
| | - Peter James Beamish
- Lifestyle and Health Research Centre, Avondale University College, Cooranbong, New South Wales, Australia
| | - Geraldine Przybylko
- Lifestyle and Health Research Centre, Avondale University College, Cooranbong, New South Wales, Australia
| | - Bevan Adrian Craig
- Lifestyle and Health Research Centre, Avondale University College, Cooranbong, New South Wales, Australia
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