Internet Mindfulness Meditation Intervention (IMMI) Improves Depression Symptoms in Older Adults

Acceptability of Digital Mental Health Interventions for Depression and Anxiety: Systematic Review

BACKGROUND

Depression and anxiety disorders are common, and treatment often includes psychological interventions. Digital health interventions, delivered through technologies such as web-based programs and mobile apps, are increasingly used in mental health treatment. Acceptability, the extent to which an intervention is viewed positively, has been identified as contributing to patient adherence and engagement with digital health interventions. Acceptability, therefore, impacts the benefit derived from using digital health interventions in treatment. Understanding the acceptability of digital mental health interventions among patients with depression or anxiety disorders is essential to maximize the effectiveness of their treatment.

OBJECTIVE

This review investigated the acceptability of technology-based interventions among patients with depression or anxiety disorders.

METHODS

A systematic review was performed based on PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) and PROSPERO (International Prospective Register of Systematic Reviews) guidelines. We searched PubMed, Web of Science, and Ovid in May 2022. Studies were included if they evaluated digital interventions for the treatment of depression or anxiety disorders and investigated their acceptability among adult patients. Studies were excluded if they targeted only specific populations (eg, those with specific physical health conditions), investigated acceptability in healthy individuals or patients under the age of 18 years, involved no direct interaction between patients and technologies, used technology only as a platform for traditional care (eg, videoconferencing), had patients using technologies only in clinical or laboratory settings, or involved virtual reality technologies. Acceptability outcome data were narratively synthesized by the direction of acceptability using vote counting. Included studies were evaluated using levels of evidence from the Oxford Centre for Evidence-Based Medicine. The risk of bias was assessed using a tool designed for this review and GRADE (Grading of Recommendations, Assessment, Development, and Evaluation).

RESULTS

A total of 143 articles met the inclusion criteria, comprising 67 (47%) articles on interventions for depression, 65 (45%) articles on interventions for anxiety disorders, and 11 (8%) articles on interventions for both. Overall, 90 (63%) were randomized controlled trials, 50 (35%) were other quantitative studies, and 3 (2%) were qualitative studies. Interventions used web-based programs, mobile apps, and computer programs. Cognitive behavioral therapy was the basis of 71% (102/143) of the interventions. Digital mental health interventions were generally acceptable among patients with depression or anxiety disorders, with 88% (126/143) indicating positive acceptability, 8% (11/143) mixed results, and 4% (6/143) insufficient information to categorize the direction of acceptability. The available research evidence was of moderate quality.

CONCLUSIONS

Digital mental health interventions seem to be acceptable to patients with depression or anxiety disorders. Consistent use of validated measures for acceptability would enhance the quality of evidence. Careful design of acceptability as an evaluation outcome can further improve the quality of evidence and reduce the risk of bias.

TRIAL REGISTRATION

Open Science Framework Y7MJ4; https://doi.org/10.17605/OSF.IO/SPR8M.

Impact of a spiritual care program on the sleep quality and spiritual health of Muslim stroke patients: A randomized controlled trial

OBJECTIVES

Stroke patients often experience poor sleep quality and spiritual health due to complications and limitations. In this situation, implementing spiritual care may reduce these problems. Therefore, this study aimed to examine the effect of a spiritual care program on sleep quality and spiritual health of Muslim stroke patients.

METHODS

This was a two-group randomized clinical trial conducted in Hamadan, Iran, in 2021, with 117 stroke patients. The samples were selected by convenience sampling and assigned to experimental (N = 59) and control (N = 58) groups based on random permutation blocks. The data were collected using the demographic information form, the Pittsburgh Sleep Quality Index, the Paloutzian and Ellison Spiritual Well-Being Scale, and the Modified Rankin Scale before and one month after the intervention. The experimental group received five daily sessions of spiritual care for 45-60 min based on standard and local methods, including patient orientation and identification of spiritual needs, religious care, supportive spiritual care, and beneficial evaluations. Data were analyzed by chi-square test, Fisher's exact test, independent t-test, and paired t-test at 0.05 significance level in SPSS 21.

RESULTS

The socio-demographic characteristics were similar between the groups (p > 0.05). At baseline, there was no significant difference in sleep quality and spiritual health between the experimental and control groups (p > 0.05). However, after the intervention, the sleep quality and spiritual health of patients in the experimental group improved significantly compared with the control group (p < 0.05).

CONCLUSION

The spiritual care program improved sleep quality and spiritual health of stroke patients; therefore, nurses should consider these aspects to provide holistic care.

A nurse-led mHealth intervention to alleviate depressive symptoms in older adults living alone in the community: A quasi-experimental study

BACKGROUND

The prevalence of geriatric depression has increased worldwide, becoming a major contributor to the burden of health care costs. Geriatric depression is difficult to detect in daily life because of its atypical presentation for each person. Therefore, there is an emerging need to develop personalised mHealth interventions for older adults with depression based on data from an ecological momentary assessment.

OBJECTIVE

To develop and evaluate the effect of a nurse-led mHealth intervention of geriatric depression in older adults living alone.

DESIGN

A quasi-experimental research design was used, and the study followed the transparent reporting of evaluations with a nonrandomised design statement.

SETTING

The nurse-led mHealth intervention was developed and evaluated in a community senior centre in Seoul, Korea.

PARTICIPANTS

Sixty-four older adults living alone with depressive symptoms were recruited between 1 October 2018 and 1 October 2019.

METHODS

Study participants were randomly assigned to the intervention or control groups by drawing lots. In the intervention group, nurses repeatedly assessed older adults' depressive symptoms using an ecological momentary assessment via a mobile tablet. The intervention consisted of weekly sessions, which included (1) standardised mHealth device training, (2) a nurse-led mHealth programme, and (3) art activities. The control group received care as usual. Intra- and inter-group differences were evaluated using paired t-tests and analysis of covariance was used to assess subjective depression symptoms. A linear mixed-model was used to analyse the relationship between groups and momentary scores over time.

RESULTS

The average age of the final sample was 76.2 years (SD = 6.06), 63.6 % (28/44) of whom were female. Compared with the control group (n = 23), the intervention group (n = 21) showed a decreased depression score (t = 4.041, p = .027). There was no statistical difference between the intervention and control groups based on traditional scales and the ecological momentary assessment. However, our data from the ecological momentary assessment captures clear fluctuating patterns across the days during the study, which traditional scales could not measure.

CONCLUSIONS

Most of the older adults successfully participated in a nurse-led mHealth intervention that included multiple components of a non-pharmacological approach to address depression. Mental health nurses should perform critical roles to personalise mHealth activities considering the older adult's autonomy and supportive decision-making, specifically when using high-technological intervention. Future research should maximise the methodological and clinical advantage of an ecological momentary assessment of geriatric depression.

REGISTRATION

Clinical Research Information Service number KCT0005073.

Effects of mindfulness-based intervention programs on sleep among people with common mental disorders: A systematic review and meta-analysis

BACKGROUND

Sleep problems are particularly prevalent in people with depression or anxiety disorder. Although mindfulness has been suggested as an important component in alleviating insomnia, no comprehensive review and meta-analysis has been conducted to evaluate the effects of different mindfulness-based intervention (MBI) programs on sleep among people with depression or anxiety disorder.

AIM

To compare the effects of different MBI programs on sleep among people with depression or anxiety disorder.

METHODS

Related publications in Embase, Medline, PubMed and PsycINFO databases were systematically searched from January 2010 to June 2020 for randomised controlled trials. Data were synthesized using a random-effects or a fixed-effects model to analyse the effects of various MBI programs on sleep problems among people with depression or anxiety disorder. The fixed-effects model was used when heterogeneity was negligible, and the random-effects model was used when heterogeneity was significant to calculate the standardised mean differences (SMDs) and 95% confidence intervals (CIs).

RESULTS

We identified 397 articles, of which 10 randomised controlled trials, involving a total of 541 participants, were included in the meta-analysis. Studies of internet mindfulness meditation intervention (IMMI), mindfulness meditation (MM), mindfulness-based cognitive therapy (MBCT), mindfulness-based stress reduction (MBSR) and mindfulness-based touch therapy (MBTT) met the inclusion criteria. The greatest effect sizes are reported in favour of MBTT, with SMDs of -1.138 (95%CI: -1.937 to -0.340; P = 0.005), followed by -1.003 (95%CI: -1.645 to -0.360; P = 0.002) for MBCT. SMDs of -0.618 (95%CI: -0.980 to -0.257; P = 0.001) and -0.551 (95%CI: -0.842 to -0.260; P < 0.0001) were reported for IMMI and MBSR in the pooling trials, respectively. Significant effects on sleep problem improvement are shown in all reviewed MBI programs, except MM, for which the effect size was shown to be non-significant.

CONCLUSION

All MBI programs (MBTT, MBCT, IMMI and MBSR), except MM, are effective options to improve sleep problems among people with depression or anxiety disorder.

The Use of Spiritual and Religious Interventions for the Treatment for Insomnia: A Scoping Review

Insomnia is a common problem, affecting individuals' health and quality of life. Among several therapies used to treat this condition, spiritual interventions are suggested to have beneficial outcomes on sleep disturbances. Nevertheless, a systematic compilation of the evidence available is still needed in the literature in order to scientifically investigate the topic. To examine the most common spiritual interventions proposed to treat sleep disorders and to assess the scientific evidence of these interventions. This is a scoping literature review conducted by independent researchers on the following databases: PubMed, SCOPUS, Web of Science, Cochrane Library and OpenGrey. A boolean expression was used, and all studies published in the last 5 years investigating the role of spiritual or religious interventions on insomnia were included. From a total of 3257 articles retrieved in our search, ten studies were included in the final analysis. There is a wide array of techniques used to treat insomnia or the mental disorders associated with insomnia, such as mantra, yoga, mindfulness, praying/meditation, daily spiritual experiences, psycho-religious training and intervention. The included studies showed a positive influence of spiritual/religious interventions on insomnia directly and indirectly. However, there is a scarcity of clinical trials and most studies have small sample sizes and used only subjective measures, resulting in a low evidence. The results of the present review point to a promising role of spirituality and religion on better sleep outcomes, particularly in the improvement in insomnia. However, the heterogeneity and the quality of these studies suggest caution while interpreting these findings. More clinical trials are needed in this area to provide a recommendation of these methods in clinical practice.

Efficacy of internet-based interventions for common mental disorder symptoms and psychosocial problems in older adults: A systematic review and meta-analysis

BACKGROUND

Although a high proportion of older adults suffer from common mental disorder symptoms and psychosocial problems, only a small number of older individuals seek psychological treatment. Internet-based interventions have the potential to bridge this treatment gap. However, while there is extensive literature on internet-based treatments in younger to middle-aged adults, research on older individuals is lacking.

OBJECTIVE

We aimed to summarize narratively and empirically the existing literature on the efficacy of internet-based interventions for the treatment of common mental disorder symptoms and psychosocial problems (loneliness, stress) in older individuals.

METHODS

This systematic review and meta-analysis was registered in PROSPERO (registration number: CRD42021235129). Systematic literature searches were conducted in PsycInfo, Ageline, Medline, CINHAL, and Psyndex. Studies were eligible for inclusion if they a) focused on older adults, b) assessed the efficacy of an internet-delivered psychological intervention, c) included a control condition and d) assessed common mental disorder symptoms or psychosocial problems as outcomes. Meta-analyses were conducted based on studies that included a passive, minimally active or placebo control condition to estimate pooled effects on overall symptom severity as well as on specific psychological outcomes.

RESULTS

11 Studies met inclusion criteria, with the majority of interventions focusing on depression or anxiety symptoms and being based on CBT principles. Significant large effect of internet-based interventions for older adults were found for overall symptom severity (depression, anxiety, PTSD, stress) as well as for depression symptom severity. No significant effects were found for anxiety symptom severity.

DISCUSSION

Our findings provide preliminary support that internet-based interventions might be a feasible and effective intervention method for the treatment of common mental disorder symptoms and stress in older adults. However, research in this area is still at an early stage. More studies are needed to shed light on the role of various treatment and patient characteristics in the efficacy of internet-delivered treatments.

Engagement Strategies to Improve Adherence and Retention in Web-Based Mindfulness Programs: Systematic Review

Background

Web-based mindfulness programs may be beneficial in improving the well-being outcomes of those living with chronic illnesses. Adherence to programs is a key indicator in improving outcomes; however, with the digitization of programs, it is necessary to enhance engagement and encourage people to return to digital health platforms. More information is needed on how engagement strategies have been used in web-based mindfulness programs to encourage adherence.

Objective

The aim of this study is to develop a list of engagement strategies for web-based mindfulness programs and evaluate the impact of engagement strategies on adherence.

Methods

A narrative systematic review was conducted across the MEDLINE Complete, CINAHL Complete, APA PsycINFO, and Embase databases and followed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) guidelines. Articles were screened using the population, intervention, comparator, and outcome framework. Adults aged >18 years with chronic health conditions were included in the study. Mindfulness interventions, including those in combination with mindfulness-based cognitive therapy, delivered on the web through the internet or smartphone technology were included. Interventions lasted at least 2 weeks. Studies with a randomized controlled trial design or a pilot randomized controlled trial design were included. Engagement strategies, including web-based program features and facilitator-led strategies, adherence, and retention, were included.

Results

A total of 1265 articles were screened, of which 19 were relevant and were included in the review. On average, 70.98% (2258/3181) of the study participants were women with a mean age of 46 (SD 13) years. Most commonly, mindfulness programs were delivered to people living with mental health conditions (8/19, 42%). Of the 19 studies, 8 (42%) used only program features to encourage adherence, 5 (26%) used facilitator-led strategies, and 6 (32%) used a combination of the two. Encouraging program adherence was the most common engagement strategy used, which was used in 77% (10/13) of the facilitator-led studies and 57% (8/14) of the program feature studies. Nearly two-thirds (63%) of the studies provided a definition of adherence, which varied between 50% and 100% completion across studies. The overall mean participant compliance to the mindfulness programs was 56% (SD 15%). Most studies (10/19, 53%) had a long-term follow-up, with the most common follow-up period being 12 weeks after intervention (3/10, 30%). After the intervention, the mean retention was 78% (SD 15%).

Conclusions

Engagement strategies in web-based mindfulness programs comprise reminders to use the program. Other features may be suitable for encouraging adherence to interventions, and a facilitator-led component may result in higher retention. There is variance in the way adherence is measured, and intervention lengths and follow-up periods are inconsistent. More thorough reporting and a standardized framework for measuring adherence are needed to more accurately assess adherence and engagement strategies.

Effectiveness of a mindfulness-based mobile application for the treatment of depression in ambulatory care: study protocol for a randomized controlled trial (Preprint)

Background

Patients with major depressive disorder (MDD) often experience relapses despite regular treatment with pharmacotherapy and psychotherapy. Further, long waiting lists and more demand than treatment capacity characterize ambulatory settings. Mindfulness-based interventions proved to be effective in relapse prevention in MDD. Next, mindfulness-based interventions in the form of free mobile applications can be an effective augmentation of the treatment as usual and can fill a gap in ambulatory care.

Objective

Given this background, the aim of this randomized controlled study is to assess the effectiveness of additional MBI via a mobile app on the symptom severity and stress levels, compared to treatment as usual.

Methods

A total of 140 individuals with MDD will be randomly allocated to the intervention or control condition. The intervention consists of the daily use of the mindfulness mobile application Headspace for thirty days (up to 10 minutes a day). The control condition will be treatment as usual. At baseline and four weeks later, the following key outcome dimensions will be assessed: self-rated (Beck Depression Inventory) and experts’ rated symptoms of MDD (Hamilton Depression Rating Scale); secondary outcome variables will be blood pressure, heart rate, and respiratory rate and changes in tobacco and alcohol consumption and medication as a proxy of perceived stress.

Results

This study was funded in February 2021 and approved by the institutional review board on April 15, 2021, and it started in May 2021. As of December 2021, we enrolled 30 participants. The findings are expected to be published in spring 2023.

Conclusions

We hypothesize that compared to the control conditions, individuals with MDD of the mobile app-condition will have both lower self- and experts’ rated symptoms of MDD and more favorable stress-related levels. While the risk for medical events is low, the immediate benefit for participants could be a decrease in symptom severity and reduction of the stress level.

Trial Registration

Clinical Trials.gov NCT05060393; https://clinicaltrials.gov/ct2/show/NCT05060393.

International Registered Report Identifier (IRRID)

DERR1-10.2196/33423

New Evidence in the Booming Field of Online Mindfulness: An Updated Meta-analysis of Randomized Controlled Trials

BACKGROUND

There is a need to regularly update the evidence base on the effectiveness of online mindfulness-based interventions (MBIs), especially considering how fast this field is growing and developing.

OBJECTIVE

This study presents an updated meta-analysis of randomized controlled trials assessing the effects of online MBIs on mental health and the potential moderators of these effects.

METHODS

We conducted a systematic literature search in PsycINFO, PubMed, and Web of Science up to December 4, 2020, and included 97 trials, totaling 125 comparisons. Pre-to-post and pre-to-follow-up between-group effect sizes (Hedges g) were calculated for depression, anxiety, stress, well-being, and mindfulness using a random effects model.

RESULTS

The findings revealed statistically significant moderate pre-to-post effects on depression (g=0.34, 95% CI 0.18-0.50; P<.001), stress (g=0.44, 95% CI 0.32-0.55; P<.001), and mindfulness (g=0.40, 95% CI 0.30-0.50; P<.001) and small effects on anxiety (g=0.26, 95% CI 0.18-0.33; P<.001). For well-being, a significant small effect was found only when omitting outliers (g=0.22, 95% CI 0.15-0.29; P<.001) or low-quality studies (g=0.26, 95% CI 0.12-0.41; P<.001). Significant but small follow-up effects were found for depression (g=0.25, 95% CI 0.12-0.38) and anxiety (g=0.23, 95% CI 0.13-0.32). Subgroup analyses revealed that online MBIs resulted in higher effect sizes for stress when offered with guidance. In terms of stress and mindfulness, studies that used inactive control conditions yielded larger effects. For anxiety, populations with psychological symptoms had higher effect sizes. Adherence rates for the interventions ranged from 35% to 92%, but most studies lacked clear definitions or cut-offs.

CONCLUSIONS

Our findings not only demonstrate that online MBIs are booming but also corroborate previous findings that online MBIs are beneficial for improving mental health outcomes in a broad range of populations. To advance the field of online MBIs, future trials should pay specific attention to methodological quality, adherence, and long-term follow-up measurements.

Effects of mindfulness meditation interventions on depression in older adults: A meta-analysis

OBJECTIVE

We examined the effects of MMIs on depression in older adults and explored the moderating effects of participant, methods, and intervention characteristics.

METHODS

We systematically searched 15 databases through June 2019 without date restrictions using the following search terms: (mindful* OR meditat*) AND depress* AND (older adult* OR elder OR aging OR senior OR geriatric*). Inclusion criteria were primary studies evaluating MMIs with adults ≥65 years old with depression measured as an outcome, a control group, and written in English. Two researchers independently coded each study and compared for discrepancies and consulted a third researcher in cases of disagreement. We used random-effects model to compute effect sizes (ESs) using Hedges' g, a forest plot, and Q and I² statistics as measures of heterogeneity; we also examined moderator analyses.

RESULTS

Nineteen studies included 1,076 participants (71.8 ± 5.2 years old). Overall, MMIs showed significantly improved depression (ES=.65, 95%CI 0.35, 0.94) compared to controls. With regards to moderators, Asians had a greater improvement in depression (1.28) than Europeans (.59) and North Americans (.32). Less than 5 weeks of MMIs showed greater improvement in depression (1.47) than longer periods (.55). MMIs with guided meditation reduced depression (.91) more than MMIs without (.42). Only one quality indicator, a priori power analysis, showed greater effects on depression (g = 1.0) than no power analysis (g=.35).

CONCLUSION

MMIs improved depressive symptoms in older adults. MMIs might be used as adjunctive or alternative to conventional treatment for depressed older adults.

Efficacy of Three Low-Intensity, Internet-Based Psychological Interventions for the Treatment of Depression in Primary Care: Randomized Controlled Trial

Background

Primary care is a major access point for the initial treatment of depression, but the management of these patients is far from optimal. The lack of time in primary care is one of the major difficulties for the delivery of evidence-based psychotherapy. During the last decade, research has focused on the development of brief psychotherapy and cost-effective internet-based interventions mostly based on cognitive behavioral therapy (CBT). Very little research has focused on alternative methods of treatment for depression using CBT. Thus, there is a need for research into other therapeutic approaches.

Objective

This study aimed to assess the effectiveness of 3 low-intensity, internet-based psychological interventions (healthy lifestyle psychoeducational program [HLP], focused program on positive affect promotion [PAPP], and brief intervention based on mindfulness [MP]) compared with a control condition (improved treatment as usual [iTAU]).

Methods

A multicenter, 4-arm, parallel randomized controlled trial was conducted between March 2015 and March 2016, with a follow-up of 12 months. In total, 221 adults with mild or moderate major depression were recruited in primary care settings from 3 Spanish regions. Patients were randomly distributed to iTAU (n=57), HLP (n=54), PAPP (n=56), and MP (n=54). All patients received iTAU from their general practitioners. The main outcome was the Spanish version of the Patient Health Questionnaire-9 (PHQ-9) from pretreatment (time 1) to posttreatment (time 2) and up to 6 (time 3) and 12 (time 4) months’ follow-up. Secondary outcomes included the visual analog scale of the EuroQol, the Short-Form Health Survey (SF-12), the Positive and Negative Affect Schedule (PANAS), and the Pemberton Happiness Index (PHI). We conducted regression models to estimate outcome differences along study stages.

Results

A moderate decrease was detected in PHQ-9 scores from HLP (β=–3.05; P=.01) and MP (β=–3.00; P=.01) compared with iTAU at posttreatment. There were significant differences between all intervention groups and iTAU in physical SF-12 scores at 6 months after treatment. Regarding well-being, MP and PAPP reported better PHI results than iTAU at 6 months post treatment. PAPP intervention significantly decreased PANAS negative affect scores compared with iTAU 12 months after treatment.

Conclusions

The low-intensity, internet-based psychological interventions (HLP and MP) for the treatment of depression in primary care are more effective than iTAU at posttreatment. Moreover, all low-intensity psychological interventions are also effective in improving medium- and long-term quality of life. PAPP is effective for improving health-related quality of life, negative affect, and well-being in patients with depression. Nevertheless, it is important to examine possible reasons that could be implicated for PAPP not being effective in reducing depressive symptomatology; in addition, more research is still needed to assess the cost-effectiveness analysis of these interventions.

Trial Registration

ISRCTN Registry ISRCTN82388279; http://www.isrctn.com/ISRCTN82388279

International Registered Report Identifier (IRRID)

RR2-10.1186/s12888-015-0475-0

mHealth Assessment and Intervention of Depression and Anxiety in Older Adults

Mobile technology is increasingly being used to enhance health and wellness, including in the assessment and treatment of psychiatric disorders. Such applications have been referred to collectively as mHealth, and this article provides a comprehensive review and clinical perspective of research regarding mHealth in late-life mood and anxiety disorders. The novel data collection offered by mHealth has contributed to a broader understanding of psychopathology, to an increased diversity of psychological interventions, and to novel methods of assessment that may ultimately provide individually adaptive mental health care for this population. Older adults face challenges (e.g., transportation, mobility) that limit their ability to receive medical and mental health care services, and mHealth may improve the capacity to reach this population. Although several mobile interventions exist for health-related issues in older adults (e.g., balance, diabetes, medication management), mHealth targeting psychiatric disorders is limited and most often focuses on problems related to dementia, cognitive dysfunction, and memory loss. Given that depression and anxiety are two of the most common mental health concerns among this population, mHealth has strong potential for broad public health interventions that may improve effectiveness of mental health care via individualized assessments and treatments.