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Yeo G, Reich SM, Liaw NA, Chia EYM. The Effect of Digital Mental Health Literacy Interventions on Mental Health: Systematic Review and Meta-Analysis. J Med Internet Res 2024; 26:e51268. [PMID: 38421687 PMCID: PMC10941000 DOI: 10.2196/51268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 10/25/2023] [Accepted: 12/25/2023] [Indexed: 03/02/2024] Open
Abstract
BACKGROUND Accelerated by technological advancements and the recent global pandemic, there is burgeoning interest in digital mental health literacy (DMHL) interventions that can positively affect mental health. However, existing work remains inconclusive regarding the effectiveness of DMHL interventions. OBJECTIVE This systematic review and meta-analysis investigated the components and modes of DMHL interventions, their moderating factors, and their long-term impacts on mental health literacy and mental health. METHODS We used a random-effects model to conduct meta-analyses and meta-regressions on moderating effects of DMHL interventions on mental health. RESULTS Using 144 interventions with 206 effect sizes, we found a moderate effect of DMHL interventions in enhancing distal mental health outcomes (standardized mean difference=0.42, 95% CI -0.10 to 0.73; P<.001) and a large effect in increasing proximal mental health literacy outcomes (standardized mean difference=0.65, 95% CI 0.59-0.74; P<.001). Uptake of DMHL interventions was comparable with that of control conditions, and uptake of DMHL interventions did not moderate the effects on both proximal mental health literacy outcomes and distal mental health outcomes. DMHL interventions were as effective as face-to-face interventions and did not differ by platform type or dosage. DMHL plus interventions (DMHL psychoeducation coupled with other active treatment) produced large effects in bolstering mental health, were more effective than DMHL only interventions (self-help DMHL psychoeducation), and were comparable with non-DMHL interventions (treatment as usual). DMHL interventions demonstrated positive effects on mental health that were sustained over follow-up assessments and were most effective in enhancing the mental health of emerging and older adults. CONCLUSIONS For theory building, our review and meta-analysis found that DMHL interventions are as effective as face-to-face interventions. DMHL interventions confer optimal effects on mental health when DMHL psychoeducation is combined with informal, nonprofessional active treatment components such as skills training and peer support, which demonstrate comparable effectiveness with that of treatment as usual (client-professional interactions and therapies). These effects, which did not differ by platform type or dosage, were sustained over time. Additionally, most DMHL interventions are found in Western cultural contexts, especially in high-income countries (Global North) such as Australia, the United States, and the United Kingdom, and limited research is conducted in low-income countries in Asia and in South American and African countries. Most of the DMHL studies did not report information on the racial or ethnic makeup of the samples. Future work on DMHL interventions that target racial or ethnic minority groups, particularly the design, adoption, and evaluation of the effects of culturally adaptive DMHL interventions on uptake and mental health functioning, is needed. Such evidence can drive the adoption and implementation of DMHL interventions at scale, which represents a key foundation for practice-changing impact in the provision of mental health resources for individuals and the community. TRIAL REGISTRATION PROSPERO International Prospective Register of Systematic Reviews CRD42023363995; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023363995.
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Affiliation(s)
- GeckHong Yeo
- N.1 Institute for Health, National University of Singapore, Singapore, Singapore
| | - Stephanie M Reich
- School of Education, University of California, Irvine, Irvine, CA, United States
| | - Nicole A Liaw
- SHINE Children and Youth Services, Singapore, Singapore, Singapore
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Radovic A, Li Y, Landsittel D, Odenthal KR, Stein BD, Miller E. A Social Media Website (Supporting Our Valued Adolescents) to Support Treatment Uptake for Adolescents With Depression or Anxiety: Pilot Randomized Controlled Trial. JMIR Ment Health 2022; 9:e35313. [PMID: 36206044 PMCID: PMC9587493 DOI: 10.2196/35313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Revised: 06/17/2022] [Accepted: 07/31/2022] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Adolescents with depression or anxiety initiate mental health treatment in low numbers. Supporting Our Valued Adolescents (SOVA) is a peer support website intervention for adolescents seen in primary care settings and their parents with the goal of increasing treatment uptake through changing negative health beliefs, enhancing knowledge, offering peer emotional support, and increasing parent-adolescent communication about mental health. OBJECTIVE This pilot study aimed to refine recruitment and retention strategies, refine document intervention fidelity, and explore changes in study outcomes (the primary outcome being treatment uptake). METHODS We conducted a 2-group, single-blind, pilot randomized controlled trial in a single adolescent medicine clinic. Participants were aged 12 to 19 years with clinician-identified symptoms of depression or anxiety for which a health care provider recommended treatment. The patient and parent, if interested, were randomized to receive the SOVA websites and enhanced usual care (EUC) compared with EUC alone. Baseline, 6-week, and 3-month measures were collected using a web-based self-report survey and blinded electronic health record review. The main pilot outcomes assessed were the feasibility of recruitment and retention strategies. Implementation outcomes, intervention fidelity, missingness, and adequacy of safety protocols were documented. Descriptive statistics were used to summarize mental health service use and target measures with 2-sample t tests to compare differences between arms. RESULTS Less than half of the adolescents who were offered patient education material (195/461, 42.2%) were referred by their clinician to the study. Of 146 adolescents meeting the inclusion criteria, 38 completed the baseline survey, qualifying them for randomization, and 25 (66%, 95% CI 51%-81%) completed the 6-week measures. There was limited engagement in the treatment arm, with 45% (5/11) of adolescents who completed 6-week measures reporting accessing SOVA, and most of those who did not access cited forgetting as the reason. Changes were found in target factors at 6 weeks but not in per-protocol analyses. At 12 weeks, 83% (15/18) of adolescents randomized to SOVA received mental health treatment as compared with 50% (10/20) of adolescents randomized to EUC (P=.03). CONCLUSIONS In this pilot trial of a peer support website intervention for adolescents with depression or anxiety, we found lower-than-expected study enrollment after recruitment. Although generalizability may be enhanced by not requiring parental permission for adolescent participation in the trials of mental health interventions, this may limit study recruitment and retention. We found that implementing education introducing the study into provider workflow was feasible and acceptable, resulting in almost 500 study referrals. Finally, although not the primary outcome, we found a signal for greater uptake of mental health treatment in the arm using the SOVA intervention than in the usual care arm. TRIAL REGISTRATION ClinicalTrials.gov NCT03318666; https://clinicaltrials.gov/ct2/show/NCT03318666. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) RR2-10.2196/12117.
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Affiliation(s)
- Ana Radovic
- Division of Adolescent and Young Adult Medicine, University of Pittsburgh Medical Center Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Yaming Li
- Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, United States
| | - Doug Landsittel
- Department of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, IN, United States
| | - Kayla R Odenthal
- Division of Adolescent and Young Adult Medicine, University of Pittsburgh Medical Center Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | | | - Elizabeth Miller
- Division of Adolescent and Young Adult Medicine, University of Pittsburgh Medical Center Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
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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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Radovic A, Odenthal K, Flores AT, Miller E, Stein BD. Prescribing Technology to Increase Uptake of Depression Treatment in Primary Care: A Pre-implementation Focus Group Study of SOVA (Supporting Our Valued Adolescents). J Clin Psychol Med Settings 2019; 27:766-782. [PMID: 31630347 DOI: 10.1007/s10880-019-09669-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Supporting Our Valued Adolescents (SOVA) is a web-based technology intervention designed to increase depression and anxiety treatment uptake by adolescents in the context of an anonymous peer community with an accompanying website for parents. With a goal of informing the design of a hybrid effectiveness-implementation randomized controlled trial, we conducted a pre-implementation study in two primary care practices to guide implementation strategy development. We conducted focus groups with primary care providers (PCPs) at three different timepoints with PCPs (14 total) from two community practices. A baseline survey was administered using Evidence-Based Practice Attitude Scale (EBPAS) and Physician Belief Scale (PBS). Subsequently, during each focus group, PCPs listened to a relevant presentation after which a facilitated discussion was audio recorded and transcribed. After timepoint 1, a codebook based on Consolidated Framework for Intervention Research (CFIR) and qualitative description were used to summarize findings and inform implementation strategies that were then adapted based on PCP feedback from timepoint 2. PCPs were provided with resources to implement SOVA over 5 months and then a third focus group was conducted to gather their feedback. Based on EBPAS and PBS, PCPs are willing to try new evidence-based practices and have positive feelings about taking care of psychosocial problems with some concerns about increased burden. During focus groups, PCPs expressed SOVA has a relative advantage and intuitive appeal, especially due to its potential to overcome stigma and reach adolescents and parents who may not want to talk about mental health concerns with their PCP. PCPs informed various implementation strategies (e.g., advertising to reach a wider audience than the target population; physical patient reminders). During timepoint 3, however, they shared they had a difficult time utilizing these despite their intention. PCPs requested use of champions and others to nudge them and priming of families with advertising, so that the PCP would not be required to initiate recommendation of the intervention, but only offer their strong endorsement when prompted. The process of conducting a pre-implementation study in primary care settings may assist with piloting potential implementation strategies and understanding barriers to their use.Trial registration NCT03318666.
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Affiliation(s)
- Ana Radovic
- Division of Adolescent and Young Adult Medicine, Children's Hospital of Pittsburgh of UPMC, University of Pittsburgh School of Medicine, 120 Lytton Avenue, Pittsburgh, PA, 15213, USA.
| | - Kayla Odenthal
- Division of Adolescent and Young Adult Medicine, Children's Hospital of Pittsburgh of UPMC, University of Pittsburgh School of Medicine, 120 Lytton Avenue, Pittsburgh, PA, 15213, USA
| | - Ana T Flores
- Division of Adolescent and Young Adult Medicine, Children's Hospital of Pittsburgh of UPMC, University of Pittsburgh School of Medicine, 120 Lytton Avenue, Pittsburgh, PA, 15213, USA
| | - Elizabeth Miller
- Division of Adolescent and Young Adult Medicine, Children's Hospital of Pittsburgh of UPMC, University of Pittsburgh School of Medicine, 120 Lytton Avenue, Pittsburgh, PA, 15213, USA
| | - Bradley D Stein
- RAND Corporation, 4570 Fifth Avenue #600, Pittsburgh, PA, USA.,Department of Psychiatry, University of Pittsburgh School of Medicine, 3811 O'Hara St, Pittsburgh, PA, 15213, USA
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