Internet Interventions-The Application of Information Technology in Mental and Behavioural Health最新文献

Children and youth from lower subjective socioeconomic status (SES) backgrounds are at a heightened risk of mental disorders. Online counseling is a valuable tool to reach those less likely to seek professional help, but its success across different SES backgrounds remains unclear. This study explores the association between subjective SES and online counseling outcomes. Children and youth (N = 2139) between 10 and 24 years-of-age received chat-based online counseling and reported on SES, negative feelings before and after the chat, and perceived helpfulness of the chat via an online assessment tool. The results of a latent change score model showed a significant association between SES and negative feelings before chatting, indicating that lower SES predicted more negative feelings (r = −0.26, p < .001). Further, SES was indirectly associated with the change in negative feelings from before to after counseling, mediated by the extent of negative feelings before the chat (β = 0.07, 95%CFI = [0.05–0.10]). Current findings extend research on online counseling programs in the context of SES. Despite higher counseling needs among low SES individuals, they do not benefit proportionally from existing online services in this sample. Future research should investigate barriers to help-seeking and implement specialized counselor training programs.

Background

Family-based caregivers are increasingly important in the management of non-hospitalized lung cancer patients. However, lack of training can negatively impact care including diagnostic errors that can lead to delays in providing appropriate medical treatment. Acute respiratory failure (ARF) is common symptom of lung cancer and requires urgent intervention as well as adequate communication with healthcare professionals (HCPs) to enable appropriate decision-making and improve patient outcomes. Standardized tools such as the Situation, Background, Assessment, Recommendation (SBAR) tool and its French adaptation SAED, standing for Situation, Antécédent, Évaluation et Demande, are designed to facilitate communication among (HCPs).

Additionally, digital interventions, such as serious games, are increasingly used to train HCPs though its use for caregivers has not been studied. This pilot study aims to assess an innovative serious game training using the SAED tool combined with standard instructions on self-efficacy for family-based caregivers of lung cancer patients when facing a simulated situation of ARF. The study also aims to examine caregivers' emotional state, quality of life, satisfaction and knowledge about the SBAR tool.

Methods

A monocentric, randomized, controlled, open-label, superiority, parallel-arm trial will be conducted for 18 months with 3 mid-study assessments (NCT05839353). Family caregivers of lung cancer patients will be recruited at the University Hospital Center of Saint Pierre, Reunion Island, France. Participants will be randomized (1:1) into two groups: the experimental group receiving training using the SBAR/SAED tool and standard instructions for managing respiratory distress/dyspnea, and the control group, receiving standard instructions only. The primary outcome will be to determine perceived self-efficacy as measured by the Generalized Self-Efficacy Scale.

Discussion

This study will present a preliminary assessment of training family caregivers in using the SBAR/SAED tool in simulated episodes of ARF in lung cancer patients. Our findings may provide valuable insights into effective training methods for caregivers in critical home care situations and could be widely used for lung cancer management.

Guided digital mental health interventions are more effective than unguided interventions. While research often emphasizes the frequency and intensity of guidance, less attention has been paid to the behaviors enacted by the therapists supporting clients using these interventions. A scoping review of the literature was conducted to systematically examine the evidence on therapist behaviors (i.e., the actions and feedback provided by supporters to patients). Applying broad eligibility criteria, a systematic search was conducted in PubMed, PsycInfo, the Cochrane Library, and Embase from their inception to January 1st 2024. Sixteen studies met inclusion criteria and were included in the review. Following data extraction, a descriptive analysis and synthesis of the results was performed. Most studies (n = 12; 75 %) focused on therapist behaviors in the context of internet-delivered Cognitive Behavioral Therapy for anxiety and depression. While earlier studies primarily focused on identifying therapist behaviors, later studies shifted towards examining the associations between therapist behaviors and different outcomes, as well as deriving research and clinical applications for improving guided internet-delivered treatments. Identified gaps and recommendations for clinical practice, research, training, and treatment development are discussed.

Background and aims

Unhealthy alcohol use is common and causes tremendous harm. Most people with unhealthy alcohol use will never seek formal alcohol treatment. As an alternative, smartphone apps have been developed as one means to provide help to people concerned about their alcohol use. The aim of this study was to test the efficacy of a smartphone app targeting unhealthy alcohol consumption in a general population sample.

Methods

Participants were recruited from across Canada using online advertisements. Eligible participants who consented to the trial were asked to download a research-specific version of the app and were provided with a code that unlocked it (a different code for each participant to prevent sharing). Those who entered the code were randomized to one of two different versions of the app: 1) the Full app containing all intervention modules; or 2) the Educational only app, containing only the educational content of the app. Participants were followed-up at 6 months. The primary outcome variable was number of standard drinks in a typical week. Secondary outcome variables were frequency of heavy drinking days and experience of alcohol-related problems.

Results

A total of 761 participants were randomized to a condition. The follow-up rate was 81 %. A generalized linear mixed model revealed that participants receiving the full app reduced their typical weekly alcohol consumption to a greater extent than participants receiving the educational only app (incidence rate ratio 0.89; 95 % confidence interval 0.80 to 0.98). No significant differences were observed in the secondary outcome variables (p > .05).

Discussion and conclusion

The results of this trial provide some supportive evidence that smartphone apps can reduce unhealthy alcohol consumption. As this is the second randomized controlled trial demonstrating an impact of this same app (the first one targeted unhealthy alcohol use in university students), increased confidence is placed on the potential effectiveness of the smartphone app employed in the current trial.

ClinicalTrials.org number: NCT04745325

Background

Going to university is a major life event, which can be stressful and negatively affect mental health. However, it also presents an opportunity to establish a foundation for positive life trajectories. To support university students, a mobile transdiagnostic emotion regulation (ER) intervention has been developed, offering both broad-based (universal) and targeted (indicated) preventative support. ER, a transdiagnostic factor underlying various mental health problems, is a critical intervention target in students, a demographic particularly susceptible to mental health issues. Cultivating ER can help manage immediate stressors and foster long-term wellbeing. This paper describes the study protocol for a Randomized Controlled Trial (RCT) evaluating the effectiveness and uptake of such mobile transdiagnostic ER intervention.

Method

The superiority parallel-group RCT involves 250 participants randomized to either the intervention condition (i.e., full access to the mobile intervention, (n = 125) or to a waitlist control condition (n = 125). Primary outcomes include ER skills and stress symptoms. Secondary outcomes include mental health parameters (anxiety, depression, resilience) and intervention uptake (i.e., objective engagement, subjective engagement, ER skills application in real life). Outcomes are assessed at baseline, week 3, 8 and 12, with continuous log-data collection for user engagement.

Discussion

This study evaluates the effectiveness and uptake of a transdiagnostic ER mobile intervention for the student population addressing their ER developmental needs. If successful, the results will validate our approach to intervention development and whether focusing on learning transfer (i.e., application of the learnt skills in real-life) and personalization using a recommendation system, can boost the real-world application of skills and intervention impact.

Background

“Kooth” is a web-based mental health platform commissioned by the National Health Service (NHS), local authorities, charities, and businesses in the UK. The platform gives children and young people (CYP) access to an online community of peers and a team of counsellors. This study reports an early economic evaluation of the potential benefits of Kooth in the UK.

Methods

An early evidence cost calculator was built to estimate the potential costs and savings of implementing Kooth from a UK NHS and crime sector perspective. A decision tree structure was used to track the progress of CYP with emerging mental health needs (EMHN), comparing CYP with access to Kooth to CYP without access to Kooth. The model implemented a 12-month time horizon and followed a typical Kooth contract in relation to costing, engagement, and CYP demographics.

Results

The base case results followed a cohort of 2160 CYP. The results of the cost calculator estimated that engagement with Kooth is associated with a cost saving of £469,237 to the NHS across a 12-month time horizon, or £236.15 per CYP with an EMHN. From a combined NHS and UK crime sector perspective, the cost savings increased to £489,897, or £246.54 per CYP with an EMHN. The largest cost savings were provided by an estimated reduction of 5346 GP appointments and 298 antidepressant prescriptions. For this cohort, the model predicted that engagement with Kooth averted 6 hospitalisations due to suicidal ideation and 13 hospitalisations due to self-harm. Furthermore, the number of smokers and binge drinkers was reduced by 20 and 24, respectively. When a crime sector perspective was taken, 3 crimes were averted.

Discussion

This early model demonstrates that Kooth has the potential to be a cost-saving intervention from both an NHS and a combined NHS and UK crime sector perspective. Cost savings were provided through aversion in clinical and social outcomes. The model used a conservative approach to balance the uncertainty around assumptions of the intermediate outcomes (GP and medication use). However, it is limited by a paucity of costing data and published evidence relating to the impact of digital mental health platforms.

Jordan hosts one of the largest populations of refugees in the world. This study evaluated the capacity, infrastructure, and interest in mobile health interventions to address unmet mental health needs among refugees and non-refugees in Jordan. We surveyed 209 (141 refugees) adults and youth in urban, rural, and refugee camp settings. Survey results indicated that mobile device ownership was lower among refugees than non-refugees (71 % vs. 100 %, respectively). Refugee phone users had less access to smartphones than non-refugees (75 % vs. 96 %, respectively). Refugees and non-refugees reported using mobile devices for diverse activities including calling (83 % vs. 100 %, respectively), texting (28 % vs. 87 %, respectively) social media (45 % vs. 94 %, respectively), watching videos (23 % vs. 90 %, respectively), and studying (34 % vs. 72 %, respectively). Most respondents had reliable access to electricity (75 % vs. 99 %, respectively) and to mobile-cellular service (67 % vs. 97 %, respectively). Refugees and non-refugees differed substantially in their access to WiFi (14 % vs. 91 %, respectively). Both groups identified anger, anxiety, depression, traumatic memories, and eating problems as the most common mental health problems in their communities. Approximately half of refugees (44 %) and non-refugees (50 %) reported that their communities had insufficient or no access to mental health resources. Most refugees (78 %) and non-refugee (87 %) believed that using mobile devices to provide support for people with mental health conditions would be helpful. Overall, both groups' reported access to mobile technologies and openness to digital mental health treatment options suggest that mHealth interventions may be feasible and welcomed in these communities.

In mental health care, the integration of artificial intelligence (AI) into internet interventions could significantly improve scalability and accessibility, provided that AI is perceived as being as effective as human professionals. This longitudinal study investigates the comparative perceptions of ChatGPT and human mental health support professionals across three dimensions: authenticity, professionalism, and practicality. Initially, 140 participants evaluated responses from both sources without knowing their origin, revealing that AI-generated responses were rated significantly higher across all dimensions. Six months later, the same cohort (n = 111) reassessed these messages with the source of each response disclosed, aiming to understand the impact of source transparency on perceptions and trust towards AI. The results indicate a shift in perception towards human responses, only in terms of authenticity (Cohen's d = 0.45) and reveal a significant correlation between trust in AI and its practicality rating (r = 0.25), but not with authenticity or professionalism. A comparative analysis between blind and informed evaluations revealed a significant shift in favour of human response ratings (Cohen's d = 0.42–0.57), while AI response ratings experienced minimal variation. These findings highlight the nuanced acceptance and role of AI in mental health support, emphasizing that the disclosure of the response source significantly shapes perceptions and trust in AI-generated assistance.

Background

Chile faces a significant postpartum depression prevalence and treatment gap, necessitating accessible interventions. While cognitive-behavioral internet-based interventions have proven effective in high-income countries, this field is underdeveloped in Chile. Based on the country's widespread use of digital technology, a guided 8-week cognitive-behavioral web app intervention named “Mamá, te entiendo” was developed.

Objective

This study aimed to assess the acceptability and feasibility of “Mamá, te entiendo”, for reducing depressive symptomatology in postpartum women.

Methods

Sixty-five postpartum women with minor or major depression were randomly assigned to either intervention or waitlist. Primary outcomes centered on study feasibility, intervention feasibility, and acceptability. Semi-structured interviews with a sub-sample enriched the understanding of participants' experiences. Secondary outcomes included mental health variables assessed at baseline, post-intervention, and 1-month follow-up.

Results

Chilean women displayed great interest in the intervention. 44.8 % of participants completed the intervention. Participants reported high satisfaction and engagement levels, with interviewees highlighting the value of the intervention's content, exercises, and therapist's feedback. However, preliminary efficacy analysis didn't reveal a significant interaction between group and time for outcome measures.

Discussion

This research represents a pioneering effort in Chile to evaluate an internet-based intervention for postpartum depression symptoms. The demonstrated feasibility and acceptability highlight the potential of integrating technology-driven approaches into mental health interventions. However, the intervention did not demonstrate superiority, as both groups exhibited similar positive progress in several outcomes. Therefore, the following research phase should involve a larger and more diverse sample to assess the intervention's effectiveness, identify influencing factors, and determine the individuals who benefit the most.