Summary Cognitive-behavioral therapy for insomnia (CBT-I) has been shown efficacious, but the challenge remains to make it available and accessible in order to meet population needs. Delivering CBT-I ...over the internet (eCBT-I) may be one method to overcome this challenge. The objective of this meta-analysis was to evaluate the efficacy of eCBT-I and the moderating influence of various study characteristics. Two researchers independently searched key electronic databases (1991 to June 2015), selected eligible publications, extracted data, and evaluated methodological quality. Eleven randomized controlled trials examining a total of 1460 participants were included. Results showed that eCBT-I improved insomnia severity, sleep efficiency, subjective sleep quality, wake after sleep onset, sleep onset latency, total sleep time, and number of nocturnal awakenings at post-treatment, with effect sizes (Hedges's g ) ranging from 0.21 to 1.09. The effects were comparable to those found for face-to-face CBT-I, and were generally maintained at 4–48 wk follow-up. Moderator analyses showed that longer treatment duration and higher degree of personal clinical support were associated with larger effect sizes, and that larger study dropout in the intervention group was associated with smaller effect sizes. In conclusion, internet-delivered CBT-I appears efficacious and can be considered a viable option in the treatment of insomnia.
This special issue is intended to promote a discussion of eHealth and mHealth and its connection with health psychology. "eHealth" generally refers to the use of information technology, including the ...Internet, digital gaming, virtual reality, and robotics, in the promotion, prevention, treatment, and maintenance of health. "mHealth" refers to mobile and wireless applications, including text messaging, apps, wearable devices, remote sensing, and the use of social media such as Facebook and Twitter, in the delivery of health related services. This special issue includes 11 articles that begin to address the need for more rigorous methodology, valid assessment, innovative interventions, and increased access to evidence-based programs and interventions.
Insomnia is two to three times more prevalent in cancer survivors than in the general population, where it is estimated to be 10% to 20%. Cognitive-behavioral therapy for insomnia (CBT-I) is the ...recommended treatment for chronic insomnia, but meeting survivor needs remains a challenge. Internet-delivered CBT-I (iCBT-I) has been shown efficacious in otherwise healthy adults. We tested the efficacy of iCBT-I in breast cancer survivors with clinically significant sleep disturbance.
Women from a national sample of Danish breast cancer survivors who experienced clinically significant sleep disturbance were randomly allocated to iCBT-I or waitlist control (55:45). The fully automated iCBT-I program consisted of six cores. Online measures of insomnia severity, sleep quality, and fatigue were collected at baseline, postintervention (nine weeks), and follow-up (15 weeks). Online sleep diaries were completed over two-week periods pre- and postintervention. Intention-to-treat analyses (time × group interactions) were conducted with mixed linear models and corrected for multiple outcomes. All statistical tests were two-sided.
A total of 255 women were randomly allocated to iCBT-I (n = 133) or waitlist control (n = 122). Statistically significant (P ≤ .02) time × group interactions were found for all sleep-related outcomes from pre- to postintervention. Effect sizes (Cohen's d) ranged from 0.33 (95% confidence interval CI = 0.06 to 0.61) for wake after sleep onset to 1.17 (95% CI = 0.87 to 1.47) for insomnia severity. Improvements were maintained for outcomes measured at follow-up (d = 0.66-1.10).
iCBT-I appears to be effective in breast cancer survivors, with additional benefit in terms of reduced fatigue. This low-cost treatment could be incorporated in cancer rehabilitation programs.
IMPORTANCE: Black women are at risk for insomnia disorder. Despite interest in addressing sleep health disparities, there is limited research investigating the efficacy of criterion-standard ...treatment (cognitive behavioral therapy for insomnia CBT-I) among this racial minority population. OBJECTIVE: To compare the efficacy of a standard version of an internet-delivered CBT-I program, a culturally tailored version, and a sleep education control at improving insomnia symptoms. DESIGN, SETTING, AND PARTICIPANTS: In this single-blind, 3-arm randomized clinical trial, participants in a national, longitudinal cohort (Black Women’s Health Study BWHS) were recruited between October 2019 and June 2020. BWHS participants with elevated insomnia symptoms were enrolled and randomized in the current study. INTERVENTIONS: Participants were randomized to receive (1) an automated internet-delivered treatment called Sleep Healthy Using the Internet (SHUTi); (2) a stakeholder-informed, tailored version of SHUTi for Black women (SHUTi-BWHS); or (3) patient education (PE) about sleep. MAIN OUTCOMES AND MEASURES: The primary outcome was insomnia severity (Insomnia Severity Index ISI). Index score ranged from 0 to 28 points, with those scoring less than 8 points considered to not have clinically significant insomnia symptoms and a score of 15 points or higher suggesting insomnia disorder. An ISI score reduction of more than 7 points was considered a clinically significant improvement in insomnia symptoms. The SHUTi-BWHS program was hypothesized to be more effective at significantly decreasing insomnia severity compared with the SHUTi program and PE. RESULTS: A total of 333 Black women were included in this trial, and their mean (SD) age was 59.5 (8.0) years. Those randomized to receive either SHUTi or SHUTi-BWHS reported significantly greater reductions in ISI score at 6-month follow-up (SHUTi: −10.0 points; 95% CI, −11.2 to −8.7; SHUTi-BWHS: −9.3 points; 95% CI, −10.4 to −8.2) than those randomized to receive PE (−3.6 points; 95% CI, −4.5 to −2.1) (P < .001). Significantly more participants randomized to SHUTi-BWHS completed the intervention compared with those randomized to SHUTi (86 of 110 78.2% vs 70 of 108 64.8%; P = .008). Participants who completed either intervention showed greater reductions in insomnia severity compared with noncompleters (−10.4 points 95% CI, −11.4 to −9.4 vs −6.2 points 95% CI, −8.6 to −3.7). CONCLUSIONS AND RELEVANCE: In this randomized clinical trial, both the SHUTi and SHUTi-BWHS programs decreased insomnia severity and improved sleep outcomes more than PE. The culturally tailored SHUTi-BWHS program was more effective at engaging participants with the program, as a greater proportion completed the full intervention. Program completion was associated with greater improvements in sleep. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT03613519
IMPORTANCE: Although cognitive behavior therapy for insomnia (CBT-I) has been established as the first-line recommendation for the millions of adults with chronic insomnia, there is a paucity of ...trained clinicians to deliver this much needed treatment. Internet-delivered CBT-I has shown promise as a method to overcome this obstacle; however, the long-term effectiveness has not been proven in a representative sample with chronic insomnia. OBJECTIVE: To evaluate a web-based, automated CBT-I intervention to improve insomnia in the short term (9 weeks) and long term (1 year). DESIGN, SETTING, AND PARTICIPANTS: A randomized clinical trial comparing the internet CBT-I with internet patient education at baseline, 9 weeks, 6 months, and 1 year. Altogether, 303 adults with chronic insomnia self-referred to participate, of whom 151 (49.8%) reported at least 1 medical or psychiatric comorbidity. INTERVENTIONS: The internet CBT-I (Sleep Healthy Using the Internet SHUTi) was a 6-week fully automated, interactive, and tailored web-based program that incorporated the primary tenets of face-to-face CBT-I. The online patient education program provided nontailored and fixed online information about insomnia. MAIN OUTCOMES AND MEASURES: The primary sleep outcomes were self-reported online ratings of insomnia severity (Insomnia Severity Index) and online sleep diary–derived values for sleep-onset latency and wake after sleep onset, collected prospectively for 10 days at each assessment period. The secondary sleep outcomes included sleep efficiency, number of awakenings, sleep quality, and total sleep time. RESULTS: Among 303 participants, the mean (SD) age was 43.28 (11.59) years, and 71.9% (218 of 303) were female. Of these, 151 were randomized to the SHUTi group and 152 to the online patient education group. Results of the 3 primary sleep outcomes showed that the overall group × time interaction was significant for all variables, favoring the SHUTi group (Insomnia Severity Index F3,1063 = 20.65, P < .001, sleep-onset latency F3,1042 = 6.01, P < .001, and wake after sleep onset F3,1042 = 12.68, P < .001). Within-group effect sizes demonstrated improvements from baseline to postassessment for the SHUTi participants (range, Cohen d = 0.79 95% CI, 0.55-1.04 to d = 1.90 95% CI, 1.62-2.18). Treatment effects were maintained at the 1-year follow-up (SHUTi Insomnia Severity Index d = 2.32 95% CI, 2.01-2.63, sleep-onset latency d = 1.41 95% CI, 1.15-1.68, and wake after sleep onset d = 0.95 95% CI, 0.70-1.21), with 56.6% (69 of 122) achieving remission status and 69.7% (85 of 122) deemed treatment responders at 1 year based on Insomnia Severity Index data. All secondary sleep outcomes, except total sleep time, also showed significant overall group × time interactions, favoring the SHUTi group. CONCLUSIONS AND RELEVANCE: Given its efficacy and availability, internet-delivered CBT-I may have a key role in the dissemination of effective behavioral treatments for insomnia. TRIAL REGISTRATION: clinicaltrials.gov Identifier: NCT01438697
Dyadic psychosocial interventions have been found beneficial both for people coping with mental or physical health conditions as well as their family members and friends who provide them with ...support. Delivering these interventions via electronic health (eHealth) may help increase their scalability.
This scoping review aimed to provide the first comprehensive overview of dyadic eHealth interventions for individuals of all ages affected by mental or physical illness and their family members or friends who support them. The goal was to understand how dyadic eHealth interventions have been used and to highlight areas of research needed to advance dyadic eHealth intervention development and dissemination.
A comprehensive electronic literature search of PubMed, EMBASE, Cochrane, Cumulative Index to Nursing and Allied Health Literature, and PsycINFO was conducted for articles published in the English language through March 2019. Eligible records described a psychosocial eHealth intervention that intervened with both care recipients and their support person.
A total of 7113 records were reviewed of which 101 met eligibility criteria. There were 52 unique dyadic eHealth interventions identified, which were tested across 73 different trials. Of the unique interventions, 33 were conducted among dyads of children and their supporting parent, 1 was conducted with an adolescent-young adult care recipient population, and the remaining 18 were conducted among adult dyads. Interventions targeting pediatric dyads most commonly addressed a mental health condition (n=10); interventions targeting adult dyads most commonly addressed cancer (n=9). More than three-fourths of interventions (n=40) required some human support from research staff or clinicians. Most studies (n=64) specified one or more primary outcomes for care recipients, whereas less than one-fourth (n=22) specified primary outcomes for support persons. Where specified, primary outcomes were most commonly self-reported psychosocial or health factors for both care recipients (n=43) and support persons (n=18). Results of the dyadic eHealth intervention tended to be positive for care recipients, but evidence of effects for support persons was limited because of few studies specifying primary outcomes for supporters. Trials of dyadic eHealth interventions were most commonly randomized controlled trials (RCTs; n=44), and RCTs most commonly compared the dyadic eHealth intervention to usual care alone (n=22).
This first comprehensive review of dyadic eHealth interventions demonstrates that there is substantial, diverse, and growing literature supporting this interventional approach. However, several significant gaps were identified. Few studies were designed to evaluate the unique effects of dyadic interventions relative to individual interventions. There was also limited assessment and reporting of outcomes for support persons, and there were no interventions meeting our eligibility criteria specifically targeting the needs of older adult dyads. Findings highlight areas of research opportunities for developing dyadic eHealth interventions for novel populations and for increasing access to dyadic care.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, UILJ, UKNU, UL, UM, UPUK
In view of the high co-occurrence of depression and insomnia, a novel way to reduce the risk of escalating depression might be to offer an insomnia intervention. We aimed to assess whether an online ...self-help insomnia program could reduce depression symptoms.
We did this randomised controlled trial at the Australian National University in Canberra, Australia. Internet users (aged 18-64 years) with insomnia and depression symptoms, but who did not meet criteria for major depressive disorder, were randomly assigned (1:1), via computer-generated randomisation, to receive SHUTi, a 6 week, modular, online insomnia program based on cognitive behavioural therapy for insomnia, or HealthWatch, an interactive, attention-matched, internet-based placebo control program. Randomisation was stratified by age and sex. Telephone-based interviewers, statisticians, and chief investigators were masked to group allocation. The primary outcome was depression symptoms at 6 months, as measured with the Patient Health Questionnaire (PHQ-9). The primary analysis was by intention to treat. This trial is registered with the Australian New Zealand Clinical Trials Registry, number ACTRN12611000121965.
Between April 30, 2013, and June 9, 2014, we randomly assigned 1149 participants to receive SHUTi (n=574) or HealthWatch (n=575), of whom 581 (51%) participants completed the study program assessments at 6 weeks and 504 (44%) participants completed 6 months' follow-up. SHUTi significantly lowered depression symptoms on the PHQ-9 at 6 weeks and 6 months compared with HealthWatch (Fdegrees of freedom 2,640·1=37·2, p<0·0001). Major depressive disorder was diagnosed in 22 (4%) participants at 6 months (n=9 in the SHUTi group and n=13 in the HealthWatch group), with no superior effect of SHUTi versus HealthWatch (Fisher's exact test=0·52; p=0·32). No adverse events were reported.
Online cognitive behaviour therapy for insomnia treatment is a practical and effective way to reduce depression symptoms and could be capable of reducing depression at the population level by use of a fully automatised system with the potential for wide dissemination.
Australian National Health and Medical Research Council.
Although gamification continues to be a popular approach to increase engagement, motivation, and adherence to behavioral interventions, empirical studies have rarely focused on this topic. There is a ...need to empirically evaluate gamification models to increase the understanding of how to integrate gamification into interventions.
The model of gamification principles for digital health interventions proposes a set of five independent yet interrelated gamification principles. This study aimed to examine the validity and reliability of this model to inform its use in Web- and mobile-based apps.
A total of 17 digital health interventions were selected from a curated website of mobile- and Web-based apps (PsyberGuide), which makes independent and unbiased ratings on various metrics. A total of 133 independent raters trained in gamification evaluation techniques were instructed to evaluate the apps and rate the degree to which gamification principles are present. Multiple ratings (n≥20) were collected for each of the five gamification principles within each app. Existing measures, including the PsyberGuide credibility score, mobile app rating scale (MARS), and the app store rating of each app were collected, and their relationship with the gamification principle scores was investigated.
Apps varied widely in the degree of gamification implemented (ie, the mean gamification rating ranged from 0.17≤m≤4.65 out of 5). Inter-rater reliability of gamification scores for each app was acceptable (κ≥0.5). There was no significant correlation between any of the five gamification principles and the PsyberGuide credibility score (P≥.49 in all cases). Three gamification principles (supporting player archetypes, feedback, and visibility) were significantly correlated with the MARS score, whereas three principles (meaningful purpose, meaningful choice, and supporting player archetypes) were significantly correlated with the app store rating. One gamification principle was statistically significant with both the MARS and the app store rating (supporting player archetypes).
Overall, the results support the validity and potential utility of the model of gamification principles for digital health interventions. As expected, there was some overlap between several gamification principles and existing app measures (eg, MARS). However, the results indicate that the gamification principles are not redundant with existing measures and highlight the potential utility of a 5-factor gamification model structure in digital behavioral health interventions. These gamification principles may be used to improve user experience and enhance engagement with digital health programs.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, UILJ, UKNU, UL, UM, UPUK
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