Applications of Text Messaging, and Bibliotherapy for Treatment of Patients Affected by Depressive Symptoms

A Process Evaluation of a Mobile App for Medical Students Aimed at Increasing Resilience and Decreasing Stigma in Mental Health

OBJECTIVE

The purpose of this pilot study was to conduct a process evaluation of a mental health and wellness mobile health (mHealth) application for medical students designed to increase resilience and decrease mental health stigma.

METHODS

The customized application, MindfulMEDS, was developed with peer-focused interactive modules specific to medical students within an existing system called Sharpen®. The Sharpen® system contains an extensive library of didactic and experiential mental health and wellness content built specifically to promote evidence-based protective factors for resilience. A mixed-methods approach including surveys and focus groups assessed participant resiliency, perception of mental health within the context of medical school, and evaluation of the app. Assessments were conducted at baseline (n = 66), six months (n = 30), and one year (n = 24). Demographic information was collected once at baseline as a part of the initial survey.  Results: A total of 215 users were registered in MindfulMEDS, consumed 83 courses, and engaged in 1,428 "connect clicks" to community resources and crisis-response supports. Resilience levels did not change significantly between surveys; however, a significant decrease in the perception of mental health stigma associated with utilizing mental health resources was observed. Focus group participants (n = 11) reported the screening tools to be useful, encouraged expansion, and suggested additional reminders to access the app to increase engagement.

CONCLUSION

Findings of this pilot study demonstrate the feasibility of implementing MindfulMEDS (an mHealth app focused on mental health and wellness) among medical students. Students found the app experience valuable, accessed mental health screeners embedded within the app, utilized the app to seek help, and engaged with the app to learn more about mental health. There was also a decrease in mental health stigma observed during the course of the study. Based on these results, we propose that medical schools incorporate mobile-based technology into their mental health support programs.

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.

Prevalence, Barriers, and Interventions Related to Medication Adherence Among Patients With Major Depressive Disorder: A Scoping Review

The current scoping review aimed to identify the prevalence, contributing factors, methods of measurement, and interventions related to medication adherence among patients with major depressive disorder (MDD). A total of 37 articles met inclusion criteria. The prevalence of medication adherence among patients with MDD ranged from 10.6% to 85.4%. Approximately 67% of studies used self-report data collection. Illness-related factors (e.g., onset of illness, duration of illness, symptoms, illness severity), medication-related factors (e.g., adverse reactions, duration of treatment, cost of treatment), and patient-related factors (e.g., beliefs, attitudes, knowledge, self-stigma) were the most reported factors associated with medication adherence. In addition, multi-faceted interventions were recommended over single-element interventions to enhance medication adherence. There is a need to integrate appropriate and effective assessment measures of medication adherence that lead to better health care outcomes, lower risk factors, and improved interventions related to medication adherence. [Journal of Psychosocial Nursing and Mental Health Services, 59(1), 39-51.].

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

There are significant disparities in access to mental health care. With the burgeoning of technologies for health, digital tools have been leveraged within mental health and psychosocial support programming (eMental health). A review of the literature was conducted to understand and identify how eMental health has been used in resource-limited settings in general. PubMed, Ovid Medline and Web of Science were searched. Six-hundred and thirty full-text articles were identified and assessed for eligibility; of those, 67 articles met the inclusion criteria and were analyzed. The most common mental health use cases were for depression (n = 25) and general mental health and well-being (n = 21). Roughly one-third used a website or Internet-enabled intervention (n = 23) and nearly one-third used an SMS intervention (n = 22). Technology was applied to enhance service delivery (n = 32), behavior change communication (n = 26) and data collection (n = 8), and specifically dealt with adherence (n = 7), ecological momentary assessments (n = 7), well-being promotion (n = 5), education (n = 8), telemedicine (n = 28), machine learning (n = 5) and games (n = 2). Emerging trends identified wearables, predictive analytics, robots and virtual reality as promising areas. eMental health interventions that leverage low-tech tools can introduce, strengthen and expand mental health and psychosocial support services and can be a starting point for future, advanced tools.

Effectiveness of text messaging interventions for the management of depression: A systematic review and meta-analysis

Introduction

Depression is a leading cause of human disability. Telemedicine-based interventions using text messaging are currently being trialled for the management of community-based clients with clinical depression. However, little is known about the effectiveness of such methods.

Methods

We searched the databases PubMed, Embase, Informit, Cochrane Central Register of Controlled Trials, PsycINFO and Scopus for randomised controlled trials (RCTs) published between January 2000 and April 2019. Studies comparing text messaging interventions to a comparator group for patients with depression were included in the review. Articles were assessed for quality using the Joanna Briggs Institute critical appraisal checklist for RCTs.

Results

Nine RCTs (945 patients: 764 adults and 181 adolescents) were included in the systematic review. Five studies used text messaging as the only intervention, whilst the remaining combined text messaging with other treatment modalities such as behavioural activation or cognitive behavioural therapy. A meta-analysis was conducted on seven selected RCTs (845 patients: 664 adults and 181 adolescents). The standardised mean reduction in depression due to text messaging interventions was 0.23 (95% confidence interval: –0.02 to 0.48). There was evidence of heterogeneity in treatment effect between studies.

Discussion

There is marginal evidence supporting text messaging interventions as an effective treatment modality for people living with clinical depression. However, further research is needed to determine how best to utilise text-message interventions alongside other conventional forms of health services delivery.

Telemental Health in Low- and Middle-Income Countries: A Systematic Review

Introduction

The rising incidence of mental illness and its impact on individuals, families, and societies is becoming a major public health concern, especially in resource-constrained countries. Consequently, there is an increasing demand for mental health services in many middle- and low-income countries (LMIC). Challenges such as inequality in access, lack of staff and hospital beds, and underfunding, often present in the LMIC, might in part be addressed by telemental health services. However, little is known about telemental health in the LMIC.

Methods

A systematic review was performed, drawing on several electronic databases, including PubMed, PsycINFO, Web of Science, Springer Link, and Google Scholar. Original English language studies on the practice of telemental health in LMIC, involving patients and published between 1 January 2000 and 16 February 2017, were included.

Results

Nineteen studies met the inclusion criteria. Most of the articles were recent, which may reflect an increasing focus on telemental health in the LMIC. Eight of these studies were from Asia. Eight of the studies were interventional/randomized controlled trials, and 11 examined general mental health issues. Videoconferencing was the most frequently (6) studied telemental modality. Other modalities studied were online decision support systems (3), text messaging and bibliotherapy (1), e-chatting combined with videoconferencing (1), online therapy (2), e-counseling (1), store-and-forward technology (1), telephone follow-up (1), online discussion groups (1), audiovisual therapy and bibliotherapy (1), and computerized occupational therapy (1). Although many of the studies showed that telemental services had positive outcomes, some studies reported no postintervention improvements.

Conclusion

The review shows a rising trend in telemental activity in the LMIC. There is a greater need for telemental health in the LMIC, but more research is needed on empirical and theoretical aspects of telemental activity in the LMIC and on direct comparisons between telemental activity in the LMIC and the non-LMIC.

Randomized controlled pilot trial of supportive text messages for patients with depression

BACKGROUND

Depression is projected to be the primary cause of disability worldwide by 2030. In a recent survey, the most commonly cited unmet need among 42.4% of depressed Albertans was the lack of sufficient, accessible, and affordable counselling. Our aim was to test the efficacy of a supportive text messaging mobile health intervention in improving treatment outcomes in depressed patients.

METHODS

We performed a single-rater-blinded randomized trial involving 73 patients with Major Depressive Disorder. Patients in the intervention group (n = 35) received twice-daily supportive text messages for 3 months while those in the control group (n = 38) received a single text message every fortnight thanking them for participating in the study. The primary outcome of this study was: "Mean changes in the BDI scores from baseline".

RESULTS

After adjusting for baseline BDI scores, a significant difference remained in the 3 month mean BDI scores between the intervention and control groups: (20.8 (SD = 11.7) vs. 24.9 (SD = 11.5), F (1, 60) = 4.83, p = 0.03, ηp2 = 0.07). The mean difference in the BDI scores change was significant with an effect size (Cohen's d) of 0.67. Furthermore, after adjusting for baseline scores, a significant difference remained in the 3 month mean self-rated VAS scores (EQ-5D-5 L scale) between the intervention and control groups, 65.7 (SD = 15.3) vs. 57.4 (SD = 22.9), F (1, 60) =4.16, p = 0.05, ηp2 = 0.065. The mean difference in change mean self-rated VAS scores was also statistically significant with an effect size (Cohen's d) of 0.51.

CONCLUSIONS

Our findings suggest that supportive text messages are a potentially useful psychological intervention for depression, especially in underserved populations. Further studies are needed to explore the implications of our findings in larger clinical samples.

TRIAL REGISTRATION

ClinicalTrials.gov NCT02327858 . Registered 24 December 2014.

Digital technology for treating and preventing mental disorders in low-income and middle-income countries: a narrative review of the literature

Few individuals living with mental disorders around the globe have access to mental health care, yet most have access to a mobile phone. Digital technology holds promise for improving access to, and quality of, mental health care. We reviewed evidence on the use of mobile, online, and other remote technologies for treatment and prevention of mental disorders in low-income and middle-income countries. Of the 49 studies identified, most were preliminary evaluations of feasibility and acceptability. The findings were promising, showing the potential effectiveness of online, text-messaging, and telephone support interventions. We summarised the evaluations as: technology for supporting clinical care and educating health workers, mobile tools for facilitating diagnosis and detection of mental disorders, technologies for promoting treatment adherence and supporting recovery, online self-help programmes for individuals with mental disorders, and programmes for substance misuse prevention and treatment. Continued research is needed to rigorously evaluate effectiveness, assess costs, and carefully consider potential risks of digital technology interventions for mental disorders, while determining how emerging technologies might support the scale-up of mental health treatment and prevention efforts across low-resource settings.

Cross-sectional survey evaluating Text4Mood: mobile health program to reduce psychological treatment gap in mental healthcare in Alberta through daily supportive text messages

BACKGROUND

To complement the oversubscribed counselling services in Alberta, the Text4Mood program which delivers daily supportive text messages to subscribers was launched on the 18th of January, 2016. This report presents an evaluation of self-reports of the impact of the program on the mental wellbeing of subscribers.

METHODS

An online link to a survey questionnaire was created by an expert group and delivered via text messages to mobile phones of all 4111 active subscribers of the Text4Mood program as of April 11, 2016.

RESULTS

Overall, 894 subscribers answered the survey (overall response rate 21.7 %). The response rate for individual questions varied and is reported alongside the results. Most respondents were female (83 %, n = 668), Caucasian (83 %, n = 679), and diagnosed with a psychiatric disorder (38 %, n = 307), including Depression (25.4 %, n = 227) and Anxiety (20 %, n = 177). Overall, 52 % (n = 461) signed up for Text4Mood to help elevate their mood and 24.5 % (n = 219) signed up to help them worry less. Most respondents felt the text messages made them more hopeful about managing issues in their lives (81.7 %, n = 588), feel in charge of managing depression and anxiety (76.7 %, n = 552), and feel connected to a support system (75.2 %, n = 542). The majority of respondents felt Text4Mood improved their overall mental well-being (83.1 %, n = 598).

CONCLUSION

Supportive text messages are a feasible and acceptable way of delivering adjunctive psychological interventions to the general public with mental health problems. Given that text messages are affordable, readily available, and can be delivered to thousands of people simultaneously, they present an opportunity to help close the psychological treatment gap for mental health patients in Alberta and elsewhere.