Common themes and emerging trends for the use of technology to support mental health and psychosocial well-being in limited resource settings: A review of the literature

From theory to practice in implementation science: qualitative insights from the implementation model developed by a commercial eMental Health provider

BACKGROUND

Although eMental health interventions are a viable solution to address disparities in access to mental healthcare and increase its efficiency, they still face challenges of implementation. Literature highlights numerous barriers such as diffusion of responsibility and unclear expectations of what implementation entails might hinder this process. While research mostly focuses on analyzing these barriers, there is an urgent need to increase uptake in practice. In turn, commercial companies focus mostly on increasing uptake, while overlooking research outputs. To bridge the gap between research and practice, attention to how implementation occurs in practice is required. This study investigates "Make it Happen" (MiH), the implementation model developed by the eMental Health company Minddistrict, aiming to gain more insight into operationalizing implementation frameworks by 1) describing MiH and its conceptual underpinnings, and 2) gaining lessons learned from the development of MiH. Ultimately, this work aims at improving existing scientific frameworks by extending them with knowledge from practice.

METHODS

First, individual interviews and focus groups with Minddistrict implementation managers were performed. Second, individual interviews with project leads in mental healthcare organizations that were involved in the implementation of Minddistrict were conducted. Within Minddistrict, 7 implementation managers and account managers were involved, in addition to 11 project leads from mental healthcare organizations. Data were elaborated with thematic analysis.

RESULTS

A comprehensive description of MiH and its 5 main phases was achieved. During the 1) Onboarding phase, implementing organizations are guided by Minddistrict to build a team responsible for implementation, which then 2) designs patient and client journeys, 3) builds, tailors and configures their offer, 4) trains key-users and, 5) evaluates the success of implementation. All participants had extensive and aligned definitions and articulated expectations on implementation. Points of improvement for the model such as role ambiguity and excessive workload were identified. As strengths, internal motivation and good relationships with the provider were valued.

CONCLUSION

The present study highlights the importance of clear role division and stakeholder engagement in implementation processes, and suggest that a strong collaboration between companies and academia could optimize implementation efforts and ensure a better fit between humans, context, and technologies.

Digital psychiatry in low-and-middle-income countries: New developments and the way forward

Low- and middle-income countries (LMICs) bear the greater share of the global mental health burden but are ill-equipped to deal with it because of severe resource constraints leading to a large treatment gap. The remote provision of mental health services by digital means can effectively augment conventional services in LMICs to reduce the treatment gap. Digital psychiatry in LMICs has always lagged behind high-income countries, but there have been encouraging developments in the last decade. There is increasing research on the efficacy of digital psychiatric interventions. However, the evidence is not adequate to conclude that digital psychiatric interventions are invariably effective in LMICs. A striking development has been the rise in mobile and smartphone ownership in LMICs, which has driven the increasing use of mobile technologies to deliver mental health services. An innovative use of mobile technologies has been to optimize task-shifting, which involves delivering mental healthcare services in community settings using non-specialist health professionals. Emerging evidence from LMICs shows that it is possible to use digital tools to train non-specialist workers effectively and ensure that the psychosocial interventions they deliver are efficacious. Despite these promising developments, many barriers such as service costs, underdeveloped infrastructure, lack of trained professionals, and significant disparities in access to digital services impede the progress of digital psychiatry in LMICs. To overcome these barriers, digital psychiatric services in LMICs should address contextual factors influencing the delivery of digital services, ensure collaboration between different stakeholders, and focus on reducing the digital divide.

Barriers to and facilitators of user engagement with web-based mental health interventions in young people: a systematic review

Many young people (YP) are diagnosed with mental illnesses and require support. Web-based mental health interventions (W-MHIs) have been increasingly utilized by YP, healthcare providers, and parents due to reasons including convenience and anonymity. W-MHIs are effective in improving mental health in YP. However, real-world engagement with W-MHIs remains low. Therefore, understanding barriers/facilitators of user engagement with W-MHIs is necessary to promote W-MHIs and help users gain optimal benefits through higher engagement. This review aims to identify barriers/facilitators of user engagement with W-MHIs in YP aged 10-24 years. A systematic search of five databases for English language, peer-reviewed publications was conducted between January 2010 and February 2023. Studies examining factors influencing user engagement with W-MHIs, described as barriers or facilitators, were included. Study quality was assessed using the Mixed Methods Appraisal Tool. A narrative synthesis was performed. Of 4088 articles identified, 69 studies were included. Barriers/facilitators were reported by young people (63 studies), providers (17 studies), and parents/caregivers (8 studies). YP perceived that usefulness and connectedness were the most common facilitators, whereas low-perceived need was the most reported barrier. Both providers and parents reported that perceived usefulness for YP was the most common facilitator, whereas concerns about program effectiveness and privacy were noted as barriers. This review found that program- and individual-related factors were important determinants of engagement with W-MHIs. This review provides guidance on the future design and development of new interventions, narrowing the gap between existing W-MHIs and unmet needs of users.

Optimizing the Implementation of a Lifestyle Dementia Prevention Intervention for Older Patients in an Academic Healthcare System

Background

Interventions that promote healthy lifestyles are critical for the prevention of Alzheimer's disease and Alzheimer's disease related dementias (AD/ADRD). However, knowledge of the best practices for implementing AD/ADRD prevention in healthcare settings remains limited.

Objective

We aimed to qualitatively identify barriers and facilitators to implementing a clinical trial of a novel lifestyle intervention (My Healthy Brain) in our medical center for older patients with subjective cognitive decline who are at-risk for AD/ADRD.

Methods

We conducted focus groups with 26 healthcare professionals (e.g., physicians, psychology, nursing) from 5 clinics that treat older patients (e.g., memory care, psychiatry). Our qualitative analysis integrated two implementation frameworks to systematically capture barriers and facilitators to AD/ADRD prevention (Consolidated Framework for Implementation Science Research) that impact implementation outcomes of acceptability, appropriateness, and feasibility (Proctor's framework).

Results

We found widespread support for an RCT of My Healthy Brain and AD/ADRD prevention. Participants identified barriers related to patients (stigma, technological skills), providers (dismissiveness of "worried well," doubting capacity for behavior change), clinics (limited time and resources), and the larger healthcare system (underemphasis on prevention). Implementation strategies guided by Expert Recommendations for Implementing Change (ERIC) included: developing tailored materials, training staff, obtaining buy-in from leadership, addressing stigmatized language and practices, identifying "champions," and integrating with workflows and resources.

Conclusions

The results will inform our recruitment, enrollment, and retention procedures to implement the first randomized clinical trial of My Healthy Brain. Our study provides a blueprint for addressing multi-level barriers to the implementation of AD/ADRD prevention for older patients in medical settings.

Phone-based psychosocial counseling for people living with HIV: Feasibility, acceptability and impact on uptake of psychosocial counseling services in Malawi

People living with HIV experience psychosocial needs that often are not addressed. We designed an innovative low-resource model of phone-based psychosocial counseling (P-PSC). We describe cohort characteristics, acceptability, feasibility and utilization of P-PSC at health facilities supported by Baylor Foundation Malawi. Staff were virtually oriented at 120 sites concurrently. From facility-based phones, people with new HIV diagnosis, high viral load, treatment interruption or mental health concerns were referred without identifiable personal information to 13 psychosocial counselors via a WhatsApp group. Routine program data were retrospectively analyzed using univariate approaches and regressions with interrupted time series analyses. Clients utilizing P-PSC were 63% female, 25% youth (10-24 y) and 9% children (<10 y). They were referred from all 120 supported health facilities. Main referral reasons included new HIV diagnosis (32%), ART adherence support (32%) and treatment interruption (21%). Counseling was completed for 99% of referrals. Counseling sessions per month per psychosocial counselor increased from 77 before P-PSC to 216 in month 1 (95% CI = 82, 350, p = 0.003). Total encounters increased significantly to 31,642 in year 1 from ~6,000 during the 12 prior months, an over fivefold increase. P-PSC implementation at 120 remote facilities was acceptable and feasible with immediate, increased utilization despite few psychosocial counselors in Malawi.

A machine learning approach to determine resilience utilizing wearable device data: analysis of an observational cohort

Objective

To assess whether an individual's degree of psychological resilience can be determined from physiological metrics passively collected from a wearable device.

Materials and Methods

Data were analyzed in this secondary analysis of the Warrior Watch Study dataset, a prospective cohort of healthcare workers enrolled across 7 hospitals in New York City. Subjects wore an Apple Watch for the duration of their participation. Surveys were collected measuring resilience, optimism, and emotional support at baseline.

Results

We evaluated data from 329 subjects (mean age 37.4 years, 37.1% male). Across all testing sets, gradient-boosting machines (GBM) and extreme gradient-boosting models performed best for high- versus low-resilience prediction, stratified on a median Connor-Davidson Resilience Scale-2 score of 6 (interquartile range = 5-7), with an AUC of 0.60. When predicting resilience as a continuous variable, multivariate linear models had a correlation of 0.24 (P = .029) and RMSE of 1.37 in the testing data. A positive psychological construct, comprised of resilience, optimism, and emotional support was also evaluated. The oblique random forest method performed best in estimating high- versus low-composite scores stratified on a median of 32.5, with an AUC of 0.65, a sensitivity of 0.60, and a specificity of 0.70.

Discussion

In a post hoc analysis, machine learning models applied to physiological metrics collected from wearable devices had some predictive ability in identifying resilience states and a positive psychological construct.

Conclusions

These findings support the further assessment of psychological characteristics from passively collected wearable data in dedicated studies.

Expanding the reach of psychosocial services for youth: Untapped potential of mentor-delivered single session interventions

At present, the mental healthcare system cannot meet the demand for services, and the need-to-access gap is widest among children and adolescents. Single session interventions (SSIs) are brief, intentional, and mechanism-targeted programs that have shown promise in increasing the reach of effective, evidence-based services; yet, a wide gap still remains due to structural barriers (e.g., lack of awareness, workforce shortages). The present paper posits the integration of SSIs and mentor-delivered programs as a promising future step to further overcome the inaccessibility of youth mental health services. Capitalizing on the advantages of mentoring relationships (e.g., the associated interpersonal benefits and mentors' pre-existence in most community settings) has the potential to complement and enhance the value of SSIs, and to expand the acceptability and reach of evidence-based mental health services. In this paper, we discuss the anticipated benefits of mentor-delivered SSIs, as well as cautionary considerations related to the proposed model. To conclude, we highlight the necessary implementation and research implications.

Effectiveness of Digital Mental Health Tools to Reduce Depressive and Anxiety Symptoms in Low- and Middle-Income Countries: Systematic Review and Meta-analysis

BACKGROUND

Depression and anxiety contribute to an estimated 74.6 million years of life with disability, and 80% of this burden occurs in low- and middle-income countries (LMICs), where there is a large gap in care.

OBJECTIVE

We aimed to systematically synthesize available evidence and quantify the effectiveness of digital mental health interventions in reducing depression and anxiety in LMICs.

METHODS

In this systematic review and meta-analysis, we searched PubMed, Embase, and Cochrane databases from the inception date to February 2022. We included randomized controlled trials conducted in LMICs that compared groups that received digital health interventions with controls (active control, treatment as usual, or no intervention) on depression or anxiety symptoms. Two reviewers independently extracted summary data reported in the papers and performed study quality assessments. The outcomes were postintervention measures of depression or anxiety symptoms (Hedges g). We calculated the pooled effect size weighted by inverse variance.

RESULTS

Among 11,196 retrieved records, we included 80 studies in the meta-analysis (12,070 participants n=6052, 50.14% in the intervention group and n=6018, 49.85% in the control group) and 96 studies in the systematic review. The pooled effect sizes were -0.61 (95% CI -0.78 to -0.44; n=67 comparisons) for depression and -0.73 (95% CI -0.93 to -0.53; n=65 comparisons) for anxiety, indicating that digital health intervention groups had lower postintervention depression and anxiety symptoms compared with controls. Although heterogeneity was considerable (I²=0.94 for depression and 0.95 for anxiety), we found notable sources of variability between the studies, including intervention content, depression or anxiety symptom severity, control type, and age. Grading of Recommendations, Assessments, Development, and Evaluation showed that the evidence quality was overall high.

CONCLUSIONS

Digital mental health tools are moderately to highly effective in reducing depression and anxiety symptoms in LMICs. Thus, they could be effective options to close the gap in depression and anxiety care in LMICs, where the usual mental health care is minimal.

TRIAL REGISTRATION

PROSPERO CRD42021289709; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=289709.

The Electronic Mental Wellness Tool as a Self-Administered Brief Screening Instrument for Mental Disorders in the General Spanish Population during the Post-COVID-19 Era

(1) Background: In the "post-COVID-19 era", there is a need to focus on properly assessing and addressing the extent of its well-established mental health collateral damage. The "Electronic Mental Wellness Tool" (E-mwTool) is a 13-item validated stepped-care or stratified management instrument that aims at the high-sensitivity captures of individuals with mental health disorders to determine the need for mental health care. This study validated the E-mwTool in a Spanish-speaking population. (2) Methods: It is a cross-sectional validation study using the Mini International Neuropsychiatric Interview as a criterion standard in a sample of 433 participants. (3) Results: About 72% of the sample had a psychiatric disorder, and 67% had a common mental disorder. Severe mental disorders, alcohol use disorders, substance use disorders, and suicide risk had a much lower prevalence rate (6.7%, 6.2%, 3.2%, and 6.2%, respectively). The first three items performed excellently in identifying any mental health disorder with 0.97 sensitivity. Ten additional items classified participants with common mental disorders, severe mental disorders, substance use disorders, and suicide risk. (4) Conclusions: The E-mwTool had high sensitivity in identifying common mental disorders, alcohol and substance use disorders, and suicidal risk. However, the tool's sensitivity in detecting low-prevalence disorders in the sample was low. This Spanish version may be useful to detect patients at risk of mental health burden at the front line of primary and secondary care in facilitating help-seeking and referral by their physicians.

The AYA Care Plan: Initial Evaluation of a Web-Based Psychosocial Intervention

PURPOSE

Adolescents and young adults (AYA) with cancer do not fit neatly into pediatric or older adult oncology care settings. Recent efforts have led to the development of psychosocial interventions for AYAs, but studies show AYAs demonstrate low levels of engagement in psychosocial services. The AYA Care Plan is one of the only web-based tools providing a personalized, psychosocial resource that addresses unmet needs for AYAs in active treatment and post-treatment survivorship. The current study aims to assess the usability and utility of the AYA Care Plan and identify opportunities for improvement.

METHODS

Clinic staff administered an online distress and needs assessment to AYA patients with cancer at outpatient oncology clinics. Personalized care plans were sent to participants on the basis of their responses. A total of 11 AYAs between the ages 18 and 39 years, with a mean age of 31.64 years, then completed qualitative interviews about their experiences. Thematic analysis was used to identify themes on the AYA Care Plan.

RESULTS

A majority of participants reported positive usability features. Half of the participants reported using their care plan to make health care decisions. One person indicated not finding the resources helpful, and the other half of participants reported not engaging with the care plan. Participants also offered suggestions for improvement.

CONCLUSION

The AYA Care Plan appears to be a useful psychosocial intervention for some AYAs with cancer. Future research should continue to examine the AYA Care Plan's usability and utility, and specify when, how, and for whom the AYA Care Plan is useful.

Optimizing the implementation of a multisite feasibility trial of a mind-body program in acute orthopedic trauma

The Toolkit for Optimal Recovery (TOR) is a mind-body program for patients with acute orthopedic injuries who are at risk for persistent pain/disability. In preparation for a multisite feasibility trial of TOR at three orthopedic trauma centers, we aim to qualitatively identify barriers and facilitators to study implementation and strategies to mitigate the implementation barriers and leverage facilitators.We conducted 18 live video focus groups among providers and three one-on-one interviews with department chiefs at Level 1 trauma centers in three geographically diverse sites (N = 79 participants). Using a content analysis approach, we detected the site-specific barriers and facilitators of implementation of TOR clinical trial. We organized the data according to 26 constructs of the Consolidated Framework for Implementation Research (CFIR), mapped to three Proctor implementation outcomes relevant to the desired study outcomes (acceptability, appropriateness, and feasibility). Across the three sites, we mapped six of the CFIR constructs to acceptability, eight to appropriateness, and three to feasibility. Prominent perceived barriers across all three sites were related to providers' lack of knowledge/comfort addressing psychosocial factors, and organizational cultures of prioritizing workflow efficiency over patients' psychosocial needs (acceptability), poor fit between TOR clinical trial and the fast-paced clinic structure as well as basic needs of some patients (appropriateness), and limited resources (feasibility). Suggestions to maximize the implementation of the TOR trial included provision of knowledge/tools to improve providers' confidence, streamlining study recruitment procedures, creating a learning collaborative, tailoring the study protocol based on local needs assessments, exercising flexibility in conducting research, dedicating research staff, and identifying/promoting champions and using novel incentive structures with regular check-ins, while keeping study procedures as nonobtrusive and language as de-stigmatizing as possible. These data could serve as a blueprint for implementation of clinical research and innovations in orthopedic and other medical settings.

Development of a Framework for the Implementation of Synchronous Digital Mental Health: Realist Synthesis of Systematic Reviews

BACKGROUND

The use of technologies has served to reduce gaps in access to treatment, and digital health interventions show promise in the care of mental health problems. However, to understand what and how these interventions work, it is imperative to document the aspects related to their challenging implementation.

OBJECTIVE

The aim of this study was to determine what evidence is available for synchronous digital mental health implementation and to develop a framework, informed by a realist review, to explain what makes digital mental health interventions work for people with mental health problems.

METHODS

The SPIDER (Sample, Phenomenon of Interest, Design, Evaluation, and Research type) framework was used to develop the following review question: What makes digital mental health interventions with a synchronous component work on people with mental health problems, including depression, anxiety, or stress, based on implementation, economic, quantitative, qualitative, and mixed methods studies? The MEDLINE, EBM Reviews, PsycINFO, EMBASE, SCOPUS, CINAHL Complete, and Web of Science databases were searched from January 1, 2015, to September 2020 with no language restriction. A Measurement Tool to Assess Systematic Reviews-2 (AMSTAR-2) was used to assess the risk of bias and Confidence in Evidence from Reviews of Qualitative Research (CERQual) was used to assess the confidence in cumulative evidence. Realist synthesis analysis allowed for developing a framework on the implementation of synchronous digital mental health using a grounded-theory approach with an emergent approach.

RESULTS

A total of 21 systematic reviews were included in the study. Among these, 90% (n=19) presented a critically low confidence level as assessed with AMSTAR-2. The realist synthesis allowed for the development of three hypotheses to identify the context and mechanisms in which these interventions achieve these outcomes: (1) these interventions reach populations otherwise unable to have access because they do not require the physical presence of the therapist nor the patient, thereby tackling geographic barriers posed by in-person therapy; (2) these interventions reach populations otherwise unable to have access because they can be successfully delivered by nonspecialists, which makes them more cost-effective to implement in health services; and (3) these interventions are acceptable and show good results in satisfaction because they require less need of disclosure and provide more privacy, comfortability, and participation, enabling the establishment of rapport with the therapist.

CONCLUSIONS

We developed a framework with three hypotheses that explain what makes digital mental health interventions with a synchronous component work on people with mental health problems. Each hypothesis represents essential outcomes in the implementation process.

TRIAL REGISTRATION

PROSPERO International Prospective Register of Systematic Reviews CRD42020203811; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020203811.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.12688/f1000research.27150.2.

Smartphone digital phenotyping, surveys, and cognitive assessments for global mental health: Initial data and clinical correlations from an international first episode psychosis study

Objective

To examine feasibility and acceptability of smartphone mental health app use for symptom, cognitive, and digital phenotyping monitoring among people with schizophrenia in India and the United States.

Methods

Participants in Boston, USA and Bhopal and Bangalore, India used a smartphone app to monitor symptoms, play cognitive games, access relaxation and psychoeducation resources and for one month, with an initial clinical and cognitive assessment and a one-month follow-up clinical assessment. Engagement with the app was compared between study sites, by clinical symptom severity and by cognitive functioning. Digital phenotyping data collection was also compared between three sites.

Results

By Kruskal-Wallis rank-sum test, we found no difference between app activities completed or digital phenotyping data collected across the three study sites. App use also did not correlate to clinical or cognitive assessment scores. When using the app for symptom monitoring, preliminary findings suggest app-based assessment correlate with standard cognitive and clinical assessments.

Conclusions

Smartphone app for symptom monitoring and digital phenotyping for individuals with schizophrenia appears feasible and acceptable in a global context. Clinical utility of this app for real-time assessments is promising, but further research is necessary to determine the long-term efficacy and generalizability for serious mental illness.

Assessing costs of developing a digital program for training community health workers to deliver treatment for depression: A case study in rural India

Digital technology has emerged as a promising approach for training and building capacity of community health workers in low-income and middle-income countries (LMICs). Little is known about the cost of developing digital training programs in LMICs, which hinders the adoption, implementation, and scaling up of the programs in routine primary care settings. This study assessed the costs of developing a digital program for training community health workers to deliver a psychological treatment for depression in a rural district of Madhya Pradesh, India. We developed survey instruments to document required resources in development, including involved personnel (their roles, responsibilities, time spent, and salaries or payments), information technologies (e.g., smartphones, software programs), and infrastructure-related costs (e.g., vehicle, office space, utilities). Costs were estimated from an accounting perspective. Over a 10-month developmental period, the total costs were 208,814 USD, with the largest portion on human resources (61%, with 14% on management and supervision), followed by information technologies (33%), and infrastructure-related costs (6%). These findings could inform policymakers in LMICs on costs of developing online-training programs, which will be especially useful during the COVID-19 pandemic.

Digital mental health in China: a systematic review

Mental health problems are highly prevalent in China; however, China's mental health services lack resources to deliver high-quality care to people in need. Digital mental health is a promising solution to this short-fall in view of the population's digital literacy. In this review, we aim to: (i) investigate the effectiveness, acceptability, usability, and safety of digital health technologies (DHTs) for people with mental health problems in China; (ii) critically appraise the literature; and (iii) make recommendations for future research directions. The databases MEDLINE, PsycINFO, EMBASE, Web of Science, CNKI, WANFANG, and VIP were systemically searched for English and Chinese language articles evaluating DHTs for people with mental health problems in mainland China. Eligible studies were systematically reviewed. The heterogeneity of studies included precluded a meta-analysis. In total, 39 articles were retrieved, reporting on 32 DHTs for various mental health problems. Compared with the digital mental health field in the West, the Chinese studies targeted schizophrenia and substance use disorder more often and investigated social anxiety mediated by shame and culturally specific variants, DHTs were rarely developed in a co-production approach, and methodology quality was less rigorous. To our knowledge, this is the first systematic review focused on digital mental health in the Chinese context including studies published in both English and the Chinese language. DHTs were acceptable and usable among Chinese people with mental health problems in general, similar to findings from the West. Due to heterogeneity across studies and a paucity of robust control trial research, conclusions about the efficacy of DHTs are lacking.

The association between the COVID-19 pandemic and postpartum care provision

BACKGROUND

The COVID-19 pandemic led to a rapid transformation in the healthcare system to mitigate viral exposure. In the perinatal context, one change included altering the prenatal visit cadence and increasing the utilization of telehealth methods. Whether this approach had inadvertent negative implications for postpartum care, including postpartum depression screening and contraceptive utilization, is unknown.

OBJECTIVE

This study aimed to examine whether preventative health service utilization, including postpartum depression screening and contraceptive utilization, differed during the COVID-19 pandemic when compared with the prepandemic period.

STUDY DESIGN

This retrospective cohort study included all pregnant patients who received prenatal care at 1 of 5 academic obstetrical practices and who delivered at Northwestern Memorial Hospital either before (delivery from September 1, 2018, to January 1, 2019) or during (delivery from February 1, 2020, to May 15, 2020) the COVID-19 pandemic. Completion of postpartum depression screening was assessed by reviewing standardized fields in the documentation associated with the screening in the electronic health record system. The method of contraception used was ascertained from the postpartum clinical documentation. Patients were classified as initiating long-acting reversible contraception use if they received NEXPLANON (etonogestrel implant) or an intrauterine device during the hospitalization for delivery or within 3 months following delivery. Bivariable and multivariable analyses were performed.

RESULTS

Of the 2375 pregnant patients included in this study, 1120 (47%) delivered during the COVID-19 pandemic. Pregnant patients who delivered during the COVID-19 pandemic were significantly less likely to have undergone postpartum depression screening (45.5% vs 86.2%; P<.01); this association persisted after adjusting for potential confounders (adjusted odds ratio, 0.13; 95% confidence interval, 0.11–0.16). Pregnant patients who delivered during the COVID-19 pandemic also were significantly less likely to initiate long-acting reversible contraception use within 3 months of delivery (13.5% vs 19.6%; adjusted odds ratio, 0.67; 95% confidence interval, 0.53–0.84).

CONCLUSION

The onset of the COVID-19 pandemic was associated with a decrease in the completion of postpartum depression screenings and fewer patients initiating long-acting reversible contraception use overall. These results can inform adaptations in healthcare delivery in the midst of the ongoing COVID-19 pandemic.

Use of Telemedicine in Depression Care by Physicians: Scoping Review

BACKGROUND

Depression is a common disorder, and it creates burdens on people's mental and physical health as well as societal costs. Although traditional in-person consultations are the usual mode of caring for patients with depression, telemedicine may be well suited to psychiatric assessment and management. Telepsychiatry can be defined as the use of information and communication technologies such as videoconferencing and telephone calls for the care of psychopathologies.

OBJECTIVE

This review aims to evaluate the extent and nature of the existing literature on the use of telemedicine for the care of depression by physicians. This review also aims to examine the effects and perceptions regarding this virtual care and determine how it compares to traditional in-person care.

METHODS

The Arksey and O'Malley framework and the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines were followed. Relevant articles were identified through a search of three databases (MEDLINE, Cochrane Database of Systematic Reviews, and PsycArticles) on October 11, 2020. The search terms were "(virtual OR telemedicine OR teleconsultation* OR telehealth OR phone* OR webcam* OR telepsychiatry) AND (depress*)". Eligibility criteria were applied to select studies about the use of telemedicine for the care of patients with depression specifically by physicians. An Excel file (Microsoft Corporation) was used to chart data from all included articles.

RESULTS

The search resulted in the identification of 28 articles, and all 13 nonreview studies were analyzed in detail. Most nonreview studies were conducted in the United States during the last decade. Most telemedicine programs were led by psychiatrists, and the average study population size was 135. In all applicable studies, telepsychiatry tended to perform at least as well as in-person care regarding improvement in depression severity, patient satisfaction, quality of life, functioning, cost-effectiveness, and most other perceptions and variables. Cultural sensitivity and collaborative care were part of the design of some telemedicine programs.

CONCLUSIONS

Additional randomized, high-quality studies are recommended to evaluate various outcomes of the use of telemedicine for depression care, including depression variables, perceptions, health care outcomes and other outcomes. Studies should be conducted in various clinical contexts, including primary care. Telepsychiatry is a promising modality of care for patients suffering from depression.

Leveraging Systems Science to Promote the Implementation and Sustainability of Mental Health and Psychosocial Interventions in Low- and Middle-Income Countries

ABSTRACT

Advancements in global mental health implementation research have revealed promising strategies for improving access to evidence-based mental health care. These advancements have not translated, however, into a reduced prevalence of mental disorders. In this review we examine the relationships between determinants (i.e., barriers and facilitators) and outcomes of mental health services in low- and middle-income countries to identify opportunities for improving the population-level impact and sustainability of innovations in global mental health. We identified three key implementation and services outcomes that influenced the prevalence of mental disorders in the 56 included review articles: supply (access, implementation), demand (help seeking, utilization), and quality (effectiveness, quality of care) of mental health services. Determinants of these outcomes revealed seven themes: community stakeholder engagement; cultural relevance; stigma; human resource capacity; organization of services; governance, policy, and financing; and sociopolitical and community context. We developed a causal loop diagram to illustrate the relationships among these determinants and outcomes. The causal loop diagram revealed the central role of community stakeholder engagement in bridging implementation and patient outcomes, the importance of addressing stigma and social determinants of mental health, and the need to complement supply-side implementation strategies with approaches to equilibrate demand and improve the quality of services. Applying systems science methodologies to global mental health research presents an opportunity to examine the complex relationships among community and health system factors that influence implementation of evidence-based interventions in order to identify sustainable approaches to improve the population-level impact of mental health services in low- and middle-income countries.

Is There an App for That?: Ethical Issues in the Digital Mental Health Response to COVID-19

Well before COVID-19, there was growing excitement about the potential of various digital technologies such as tele-health, smartphone apps, or AI chatbots to revolutionize mental healthcare. As the SARS-CoV-2 virus spread across the globe, clinicians warned of the mental illness epidemic within the coronavirus pandemic. Now, funding for digital mental health technologies is surging and many researchers are calling for widespread adoption to address the mental health sequelae of COVID-19. Reckoning with the ethical implications of these technologies is urgent because decisions made today will shape the future of mental health research and care for the foreseeable future. We contend that the most pressing ethical issues concern (1) the extent to which these technologies demonstrably improve mental health outcomes and (2) the likelihood that wide-scale adoption will exacerbate the existing health inequalities laid bare by the pandemic. We argue that the evidence for efficacy is weak and that the likelihood of increasing inequalities is high. First, we review recent trends in digital mental health. Next, we turn to the clinical literature to show that many technologies proposed as a response to COVID-19 are unlikely to improve outcomes. Then, we argue that even evidence-based technologies run the risk of increasing health disparities. We conclude by suggesting that policymakers should not allocate limited resources to the development of many digital mental health tools and should focus instead on evidence-based solutions to address mental health inequalities.

Rapid systematic review of systematic reviews: what befriending, social support and low intensity psychosocial interventions, delivered remotely, may reduce social isolation and loneliness among older adults and how?

Background: During the COVID-19 pandemic ‘social distancing’ has highlighted the need to minimise loneliness and isolation among older adults (aged 50+). We wanted to know what remotely delivered befriending, social support and low intensity psychosocial interventions may help to alleviate social isolation and loneliness and how they work. Methods: We followed a systematic ‘review of reviews’ approach. Searches of 11 databases from the fields of health, social care, psychology and social science were undertaken during April 2020. Reviews meeting our PICOS criteria were included if they focussed on the evaluation of remote interventions to reduce levels of social isolation or loneliness in adults aged 50+ and were critically appraised using AMSTAR2. Narrative synthesis was used at a review and study level to develop a typology of intervention types and their effectiveness. Intervention Component Analysis (ICA) and Qualitative Comparative Analysis (QCA) were used at a study level to explore the characteristics of successful interventions. Results: We synthesised evidence from five systematic reviews and 18 primary studies. Remote befriending, social support and low intensity psychosocial interventions took the form of: (i) supported video-communication; (ii) online discussion groups and forums; (iii) telephone befriending; (iv) social networking sites; and (v) multi-tool interventions. The majority of studies utilised the first two approaches, and were generally regarded positively by older adults, although with mixed evidence around effectiveness. Focussing on processes and mechanisms, using ICA and QCA, we found that the interventions that were most successful in improving social support: (i) enabled participants to speak freely and to form close relationships; (ii) ensured participants have shared experiences/characteristics; (iii) included some form of pastoral guidance. Conclusions: The findings highlight a set of intervention processes that should be incorporated into interventions, although they do not lead us to recommend specific modes of support, due to the heterogeneity of interventions.

Technology-Mediated Communication in Familial Relationships: Moderated-Mediation Models of Isolation and Loneliness

Background and Objectives

We examined whether technology-mediated communication has functional or emotional equivalence to face-to-face (FtF) contact in familial relationships, by scrutinizing the effects of phone, text/e-mail, and video contact on isolation and loneliness.

Research Design and Methods

We tested whether FtF contact with a relative would mediate the pathway between proximity to family and (i) isolation and (ii) loneliness. We then tested hypotheses that telephone, text/e-mails, and video contact would moderate this mediated pathway. We compared models for younger (<75) and older (≥75) cohorts, expecting to observe moderation effects for text/e-mail and video contact in the younger cohort only. Data were drawn from Wave 2 of CFAS Wales (United Kingdom) study (N = 2,099).

Results

Proximity to a relative had a significant indirect effect on isolation and loneliness through the mediating variable FtF contact. Phone and text/e-mail contact moderated the effect of FtF contact on isolation for all samples. None of the technologies moderated the impact of FtF contact on loneliness for the full sample. Telephone contact had a moderating influence on loneliness for the younger cohort only. Video calls had no significant moderation effect.

Discussion and Implications

Telephone and text/e-mail contact have functional equivalence to FtF contact in familial relationships. None of the forms of technological communication have emotional equivalence to the “gold standard” of embodied presence. The study demonstrates the importance of theorizing about the pathways to isolation and loneliness to better understand the likelihood of implementing successful interventions using technology-mediated communication within families.

e-Mental Health Program Usage Patterns in Randomized Controlled Trials and in the General Public to Inform External Validity Considerations: Sample Groupings Using Cluster Analyses

Background

Randomized controlled trials (RCTs) with vigorous study designs are vital for determining the efficacy of treatments. Despite the high internal validity attributed to RCTs, external validity concerns limit the generalizability of results to the general population. Bias can be introduced, for example, when study participants who self-select into a trial are more motivated to comply with study conditions than are other individuals. These external validity considerations extend to e-mental health (eMH) research, especially when eMH tools are designed for public access and provide minimal or no supervision.

Objective

Clustering techniques were employed to identify engagement profiles of RCT participants and community users of a self-guided eMH program. This exploratory approach inspected actual, not theorized, RCT participant and community user engagement patterns. Both samples had access to the eMH program over the same time period and received identical usage recommendations on the eMH program website. The aim of this study is to help gauge expectations of similarities and differences in usage behaviors of an eMH tool across evaluation and naturalistic contexts.

Methods

Australian adults signed up to myCompass, a self-guided online treatment program created to reduce mild to moderate symptoms of negative emotions. They did so either by being part of an RCT onboarding (160/231, 69.6% female) or by accessing the program freely on the internet (5563/8391, 66.30% female) between October 2011 and October 2012. During registration, RCT participants and community users provided basic demographic information. Usage metrics (number of logins, trackings, and learning activities) were recorded by the system.

Results

Samples at sign-up differed significantly in age (P=.003), with community users being on average 3 years older (mean 41.78, SD 13.64) than RCT participants (mean 38.79, SD 10.73). Furthermore, frequency of program use was higher for RCT participants on all usage metrics compared to community users through the first 49 days after registration (all P values <.001). Two-step cluster analyses revealed 3 user groups in the RCT sample (Nonstarters, 10-Timers, and 30+-Timers) and 2 user groups in the community samples (2-Timers and 20-Timers). Groups seemed comparable in patterns of use but differed in magnitude, with RCT participant usage groups showing more frequent engagement than community usage groups. Only the high-usage group among RCT participants approached myCompass usage recommendations.

Conclusions

Findings suggested that external validity concerns of RCT designs may arise with regards to the predicted magnitude of eMH program use rather than overall usage styles. Following up RCT nonstarters may help provide unique insights into why individuals choose not to engage with an eMH program despite generally being willing to participate in an eMH evaluation study. Overestimating frequency of engagement with eMH tools may have theoretical implications and potentially impact economic considerations for plans to disseminate these tools to the general public.

Technology and implementation science to forge the future of evidence-based psychotherapies: the PRIDE scale-up study

OBJECTIVE

To report the interim results from the training of providers inevidence-based psychotherapies (EBPs) and use of mobile applications.

DESIGN AND SETTING

The Partnerships in Research to Implement and Disseminate Sustainable and Scalable Evidence (PRIDE) study is a cluster-randomised hybrid effectiveness-implementation trial comparing three delivery pathways for integrating comprehensive mental healthcare into primary care in Mozambique. Innovations include the use of EBPs and scaling-up of task-shifted mental health services using mobile applications.

MAIN OUTCOME MEASURES

We examined EBP training attendance, certification, knowledge and intentions to deliver each component. We collected qualitative data through rapid ethnography and focus groups. We tracked the use of the mobile applications to investigate early reach of a valid screening tool (Electronic Mental Wellness Tool) and the roll out of the EBPs PARTICIPANTS: Psychiatric technicians and primary care providers trained in the EBPs.

RESULTS

PRIDE has trained 110 EBP providers, supervisors and trainers and will train 279 community health workers in upcoming months. The trainings improved knowledge about the EBPs and trainees indicated strong intentions to deliver the EBP core components. Trained providers began using the mobile applications and appear to identify cases and provide appropriate treatment.

CONCLUSIONS

The future of EBPs requires implementation within existing systems of care with fidelity to their core evidence-based components. To sustainably address the vast mental health treatment gap globally, EBP implementation demands: expanding the mental health workforce by training existing human resources; sequential use of EBPs to comprehensively treat mental disorders and their comorbid presentations and leveraging digital screening and treatment applications.

The emergence of digital mental health in low-income and middle-income countries: A review of recent advances and implications for the treatment and prevention of mental disorders

In low-income and middle-income countries (LMICs), emerging digital mental health interventions should be accompanied by regular and comprehensive assessment of available scientific evidence. This review aims to support efforts to monitor progress in digital mental health research, ensuring new evidence can guide researchers, clinicians, policymakers and program managers positioned to adopt and implement these digitally-enabled treatments. In accordance with PRISMA guidelines, an electronic database search from 2016 to 2020 yielded 37 digital intervention studies for detection, diagnosis, prevention, treatment, and/or management of a broad range of mental disorders in 13 LMICs. This date range was selected to update previous reviews. Most studies involved online interventions and many reported feasibility and acceptability, reflected by participant satisfaction or program adherence. About half the studies (N = 23) reported clinical benefits based on changes in mental health. For depression and mood disorders, some digital interventions showed improvements in depressive symptoms, quality of life, treatment adherence, and recovery. However, sample sizes were small and studies focused primarily on adults. Further limiting generalizability was the lack of consistency in clinical assessment and measurement tools between studies. No studies reported worsening symptoms, negative acceptability or dissatisfaction with digital interventions, suggesting possible publication bias. While digital interventions show promise, it remains difficult to conclude that digital interventions are effective from these studies, as it is prudent to exercise caution before drawing conclusions about clinical effectiveness. This review reflects continued growth in digital mental health research in LMICs and further highlights the need for rigorous evaluation of effectiveness and cost-effectiveness.

Text4Support Mobile-Based Programming for Individuals Accessing Addictions and Mental Health Services-Retroactive Program Analysis at Baseline, 12 Weeks, and 6 Months

Objective: Where traditional approaches fall short, widely accessible and accepted, yet under leveraged, digital technologies such as text messaging present novel opportunities to solve a range of health care solutions. The following provides a preliminary analysis of the Text4Support program, a text-messaging intervention using the principles of cognitive behavioral therapy, which seeks to support the health and well-being of individuals seeking support for addiction or mental health concerns. The goal of this study was to assess whether the Text4Support program improved the perceived overall mental well-being of participants. Methods: The evaluation analyzes survey responses of individuals who were enrolled in the Text4Support program beginning in July 2019, who had completed the 6-months program by May 2020. Participants were asked to provide responses to three surveys during their time in the program-at baseline, 12-weeks and 6-months, which included questions documenting demographic information, general satisfaction with the program, and a participants' level of "global distress" through use of the Clinical Outcomes Routine Evaluation System (CORE-10)-a validated brief 10-item assessment and outcome measurement tool used to assess conditions including anxiety, depression, physical problems, and risk to self. Results and Conclusions: This data set did not include a large enough sample of participants to reach statistical significance. Nevertheless, the study provides some preliminary analysis, and identifies opportunities for the future analysis and research.

Development of a framework for the implementation of synchronous e-mental health: a protocol for a realist synthesis of systematic reviews

Background: During the COVID-19 pandemic, it has been necessary to deliver mental health care using technologies (e-mental health). But there have been difficulties in its application. Quantitative systematic reviews such as meta-analysis doesn't allow us to fully identify and properly describe this subject. Thus, our study has two main objectives: a) "to determine what evidence is available for synchronous e-mental health implementation"; and b) "to develop a framework informed by a realist analysis for the implementation of synchronous e-mental health". Methods: We will search MEDLINE, EBM Reviews, PsycINFO, EMBASE, SCOPUS, CINAHL Complete, and Web of Science databases from 1st January 2015 to September 2020, with no language restriction. A systematic review with a narrative description and a realist synthesis will be conducted. Primary studies relating to adults with common mental health problems using any type of mobile mental health intervention that includes a synchronic component and communication with a mental health professional will be included. For the analysis, we will make a realist synthesis of the systematic reviews, using a grounded theory approach with an emergent approach to synthesize the information, prioritizing the systematic reviews with a lower risk of bias in the AMSTAR-2 tool. The realist synthesis will be based on the interpretation, integration, and inference of the evaluated elements and the generation of hypotheses to better understand the implementation process of synchronous e-mental health. Finally, we will present the overall assessment in a Summary of Qualitative Findings table. Conclusion: Our results will allow a better understanding of the facilitator and limitations in implementing e-mental health.

Development of a framework for the implementation of electronic interventions in mental health: a protocol for a meta-synthesis of systematic reviews

Background: During the COVID-19 pandemic, it has been necessary to incorporate technologies in the care of mental health problems. But there have been difficulties in the application of technology-based interventions in mental health. Some quantitative systematic reviews don't allow us to fully identify and properly describe this subject. In order to answer the question "how do electronic interventions apply in mental health and what makes the application of any of these interventions work", this study will carry out an overview of systematic reviews, which will make it possible to develop a theoretical framework on the implementation of electronic care in mental health problems. Methods: We will search MEDLINE, EBM Reviews, PsycINFO, EMBASE, SCOPUS, CINAHL Complete, and Web of Science databases from 1st January 2015 to September 2020, with no language restriction. We will follow a qualitative method approach and include systematic reviews that assess primary studies relating to adults with common mental health problems using any type of mobile mental health intervention that includes a synchronic component and communication with a mental health professional. For the analysis, we will make a meta-synthesis of the systematic reviews, using an emergent grounded theory approach to synthesize the information, prioritizing the systematic reviews with the lowest risk of bias in the AMSTAR-2 tool. The meta-synthesis will be based on interpreting, integrating, and inferring the evaluation elements to understand better the e-health implementation process for patients with mental health problems. Finally, we will present the overall assessment in a Summary of Qualitative Findings table. Conclusion: Our results will allow a better understanding of the facilitator and limitations in implementing e-health interventions for mental health problems.

A Randomized Study Using Telepresence Robots for Behavioral Health in Interprofessional Practice and Education

Background: The events of the coronavirus disease 2019 (COVID-19) pandemic forced the world to adopt telemedicine frameworks to comply with isolation and stay-at-home regulations. Telemedicine, in various forms, has been used by patients and medical professionals for quite some time, especially telepsychiatry. To examine the efficacy and role of telesimulation as a method to educate health sciences students via telepresence robots. The study recruited students from the above health science disciplines. All participants were trained to administer a contextual interview to a standardized patient (SP) for mental health concerns. Methods: The completion of the contextual interview observation form adult (CIOF-A), National Aeronautics and Space Administration Task Load Index, self-efficacy in patient centeredness questionnaire (SEPCQ), and communication skills attitude scale with or without a telepresence robot. All participants completed baseline metrics and were trained to conduct a contextual interview to an SP. Researchers block-randomized the participants to either the telepresence robot group (TP) or in-person (IP) group. Results: The study recruited n = 43 participants to the IP group (n = 21) or TP group (n = 22). Mean participant demographics of age were 25.3 (±1.9) years in the IP group and 24.3 (±2.1) years for the TP group. Mean and standard deviation scores with effect sizes in CIOF-A scores IP: 0.05 (±1.91) and TP: -0.45 (±1.71), Cohen's d = 0.28; SEPCQ-Patient Domain scores IP: 0.42 (±4.69) and TP: 0.50 (±7.18), Cohen's d = 0.01; change in SEPCQ-Sharing Domain scores IP: 0.53 (±5.10) and TP: 0.91 (±9.98), Cohen's d = 0.05. These effect sizes will inform future studies and appropriate sample sizes. Conclusion: These data indicate that health sciences students utilizing a telepresence robot in an SP scenario to perform a behavioral health screening felt as comfortable and competent as those health sciences students performing the same behavioral health screening in person. ClinicalTrials.gov Identifier: NCT03661372.

Treatments for Self-Injurious Thoughts and Behaviors in Youth: Progress and Challenges

Self-injurious thoughts and behaviors (SITBs) remain a common clinical problem in youth. This article reviews the state of knowledge regarding psychosocial treatments for SITBs in youth. Broadly speaking, psychosocial treatments that incorporate parents/family and that emphasize skills development (including emotion regulation and interpersonal skills) appear to produce the best outcomes. We also describe several challenges to the implementation of evidence-based psychotherapy, as well as potential solutions to these challenges, and provide an illustrative case example. Finally, because even evidence-based psychosocial treatments can take weeks to produce effects, increased attention has been given to biological approaches such as esketamine administration and transcranial direct current stimulation that have potential to yield rapid improvement for acute suicidal ideation, though evidence for the safety and efficacy of these approaches is in the early stages.

Digital technology for management of severe mental disorders in low-income and middle-income countries

PURPOSE OF REVIEW

Increasingly, digital technologies, especially mobile telecommunications and smartphone apps, are seen as a novel tool for managing severe mental disorders (SMDs) in low-income and middle-income countries (LMICs). However, there is a need to identify best practices in the use of digital technologies to effectively reach, support, and manage care for patients living with SMDs. In this review, we summarize recent studies using digital technology to manage symptoms and support clinical care for this patient population and discuss new opportunities to advance digital psychiatry research and practice in LMICs.

RECENT FINDINGS

Studies evaluating digital interventions for clinical populations living with SMDs in LMICs are limited. Yet, across recent articles surveyed, digital technology appears to yield diverse benefits for this at-risk patient population. These benefits include improved medication adherence, appointment adherence, reduced instances of relapse, and fewer re-hospitalizations.

SUMMARY

Continued rigorous research evaluating effectiveness and cost-effectiveness of digital technologies in reaching, treating, and managing symptoms and supporting clinical care for patients with SMDs in LMICs is vital. The urgency for remote approaches for delivering specialized psychiatric care is particularly pronounced because of the immediate and long-term impact of the coronavirus (COVID-19) pandemic on access to in-person services. Future research should emphasize participatory approaches rooted in a process of codesign with target users, in order to achieve clinically effective remotely delivered digital mental health interventions.