Remote cognitive behavioral therapy for older adults with anxiety symptoms: A systematic review and meta-analysis

Implementation of a remote behavioral intervention for older adults with asthma - a pilot study

OBJECTIVE

Older adults with asthma (OAA) have elevated asthma morbidity rates. A six-session intervention based on self-regulation theory was shown to improve outcomes. However, wide-spread implementation was difficult due to the in-person design. Our objective was to determine the feasibility and acceptability of an updated intervention for OAA that is completely remote, includes a physician component, and utilizes shared decision-making (SDM).

METHODS

A pilot study of 12 OAA with uncontrolled asthma and their asthma providers was conducted at three health centers. The remote intervention (titled SOAR) consisted of 4 sessions (2 groups and 2 individual). Asthma providers (both specialists and primary care) were sent updates of progress along with information on how to incorporate SDM into the visit. Implementation (feasibility, acceptability, and appropriateness) and clinical (asthma control, asthma quality of life, perceived control, depression, and self-confidence) outcomes were measured.

RESULTS

SOAR was found to be feasible, acceptable, and appropriate, with values on validated implementation scales similar to those of in-person behavioral interventions. Asthma providers found the program helpful and intended to change care based on the updates. Asthma control scores improved significantly from baseline (14.2 to 16.8, p = 0.04), as did asthma quality of life (4.2 to 4.9, p = 0.03) and self-confidence to manage asthma (7.1 to 8.5, p = 0.02). There was no change in depression nor perceived control scores.

CONCLUSION

A remote behavioral intervention appeared feasible and acceptable for OAA and their health care providers, and can improve outcomes. Larger scale implementation trials are warranted.

Treating Mental Health and Quality of Life in Older Cancer Patients with Cognitive Behavioral Therapy: A Systematic Review and Meta-Analysis

BACKGROUND

Cognitive behavioral therapy (CBT) has been successfully utilized in improving mental health (MH) and quality of life (QoL) in the general population, regardless of age. Cancer, which is most frequently diagnosed in older adults, is a debilitating illness that has a detrimental and long-lasting effect on patients' MH and QoL. While numerous studies have demonstrated CBT's efficacy, little evidence exists for its role in older cancer patients. This study, using MH and QoL metrics, evaluates the effectiveness of CBT for older adult cancer patients.

METHODS

Focusing on MH and QoL and an average age of over 60 years old, a final analysis was performed on 17 clinical trials with a total of 124 effect sizes, including 3073 participants receiving CBT. "Metaphor" and "Robumeta" packages in R Statistical Software (version 4.2.2) were used for analysis, which included robust variance estimation (RVE) in intercept-only meta-regression, and univariate meta-regression for moderator analysis.

RESULTS

With 17 clinical trials and 124 effect sizes, our results show that CBT moderately improves MH and QoL in cancer patients d = 0.19, 95% CI 0.0166-0.364, p < 0.0399. The delivery format was shown to be a strong moderator of CBT effectiveness with interpersonal technological interventions combined with pre-programmed segments having a very strong treatment effect size (d = 1.7307, 95% CI 1.5244-1.937, p < 0.001).

CONCLUSIONS

The use of CBT in older adult cancer patients statistically improves MH and QoL, with delivery format and stages of treatment having important roles. Tech-only interpersonal interventions combined with pre-programmed CBT provide an avenue for targeting older adult cancer patients.

Effectiveness of Telecare Interventions on Depression Symptoms Among Older Adults: Systematic Review and Meta-Analysis

BACKGROUND

Depression is the most common psychiatric disorder among older adults. Despite the effectiveness of pharmacological and psychological therapies, many patients with late-life depression (LLD) are unable to access timely treatment. Telecare has been shown to be effective in addressing patients' psychosocial issues, while its effectiveness in serving patients with LLD remains unclear.

OBJECTIVE

This study aimed to evaluate the effectiveness of telecare in reducing depression and anxiety symptoms and improving quality of life (QoL) in patients with LLD.

METHODS

Databases including the Cochrane Library, Web of Science, PubMed, Embase, and EBSCO were searched for randomized controlled trials (RCTs) evaluating the effectiveness of telecare for LLD from database establishment to December 28, 2022.

RESULTS

A total of 12 RCTs involving 1663 participants were identified in this study. The meta-analysis showed that (1) telecare significantly reduced depressive symptoms in patients with LLD compared to those in usual care (UC; standardized mean difference [SMD]=-0.46, 95% CI -0.53 to -0.38; P<.001), with the best improvement observed within 3 months of intervention (SMD=-0.72, 95% CI -1.16 to -0.28; P<.001); (2) other scales appeared more effective than the Patient Health Questionnaire-9 for LLD in telecare interventions (SMD=-0.65, 95% CI -0.96 to -0.35; P<.001); (3) telecare was more effective than telephone-based interventions for remote monitoring of LLD (SMD=-1.13, 95% CI -1.51 to -0.76; P<.001); (4) the reduction of depressive symptoms was more pronounced in patients with LLD with chronic conditions (SMD=-0.67, 95% CI -0.89 to -0.44; P<.001); (5) telecare was more effective for LLD in Europe and the Americas than in other regions (SMD=-0.73, 95% CI -0.99 to -0.47; P<.001); (6) telecare significantly reduced anxiety symptoms in patients with LLD (SMD=-0.53, 95% CI -0.73 to -0.33; P=.02); and (7) there was no significant improvement in the psychological components of QoL in patients with LLD compared to those receiving UC (SMD=0.30, 95% CI 0.18-0.43; P=.80).

CONCLUSIONS

Telecare is a promising modality of care for treatment, which can alleviate depression and anxiety symptoms in patients with LLD. Continued in-depth research into the effectiveness of telecare in treating depression could better identify where older patients would benefit from this intervention.

Understanding School Anxiety in Italian Adolescence through an Artificial Neural Network: Influence of Social Skills and Coping Strategies

School anxiety depends on multiple factors that occur directly or indirectly in the teaching-learning process, such as going to the blackboard in class or reporting low grades at home. Other factors that influence school climate are social skills and coping strategies. That said, the aim of this research was to analyze the sources of school anxiety, coping strategies, and social skills in Italian secondary school students through an artificial neural network. For this purpose, a quantitative and ex post facto design was used in which the Inventory of School Anxiety (IAES), the Coping Scale for Children (EAN), and the Questionnaire for the Evaluation of Social Skills student version (EHS-A) were administered. The results showed that cognitive avoidance and behavioral avoidance coping strategies, together with the lack of social skills in students, are the variables that contributed the most to school anxiety scores in the artificial neural network. The conclusions revolve around the need to develop primary prevention programs.