Depressive symptomatology in older adults treated with behavioral activation: A network perspective.

BACKGROUND: Late-life depression is a serious mental health problem. Behavioral Activation (BA) is an effective, accessible psychotherapeutic treatment for older adults. However, little is known about which symptoms decrease and how associations between depressive symptoms change during BA treatment. METHODS: Using data from a cluster-randomized trial for older adults with late-life depression, we estimated a partial correlation network and a relative importance network of depressive symptoms before and after 8 weeks of BA treatment in primary care (n = 96). Networks were examined with measures of network structure, connectivity, centrality as well as stability. RESULTS: The most central symptoms at baseline and post-treatment were anhedonia, fatigue, and feeling depressed. In contrast, sleeping problems had the lowest centrality. The post-treatment network was significantly more interconnected than at baseline. Moreover, all symptoms were significantly more central at post-treatment. CONCLUSION: Our findings highlight the utility of the network approach to better understand symptom networks of depressed older adults before and after BA treatment. Results show that network connectivity and centrality of all symptoms increased after treatment. Future studies should investigate longitudinal idiographic networks to explore symptom dynamics within individuals over time.

Cost-effectiveness of behavioral activation compared to treatment as usual for depressed older adults in primary care: A cluster randomized controlled trial.

INTRODUCTION: Depression in older adults is associated with decreased quality of life and increased utilization of healthcare services. Behavioral activation (BA) is an effective treatment for late-life depression, but the cost-effectiveness compared to treatment as usual (TAU) is unknown. METHODS: An economic evaluation was performed alongside a cluster randomized controlled multicenter trial including 161 older adults (≥65 years) with moderate to severe depressive symptoms (PHQ-9 ≥ 10). Outcome measures were depression (response on the QIDS-SR), quality-adjusted life-years (QALYs) and societal costs. Missing data were imputed using multiple imputation. Cost and effect differences were estimated using bivariate linear regression models, and statistical uncertainty was estimated with bootstrapping. Cost-effectiveness acceptability curves showed the probability of cost-effectiveness at different ceiling ratios. RESULTS: Societal costs were statistically non-significantly lower in BA compared to TAU (mean difference (MD) -€485, 95 % CI -3861 to 2792). There were no significant differences in response on the QIDS-SR (MD 0.085, 95 % CI -0.015 to 0.19), and QALYs (MD 0.026, 95 % CI -0.0037 to 0.055). On average, BA was dominant over TAU (i.e., more effective and less expensive), although the probability of dominance was only 0.60 from the societal perspective and 0.85 from the health care perspective for both QIDS-SR response and QALYs. DISCUSSION: Although the results suggest that BA is dominant over TAU, there was considerable uncertainty surrounding the cost-effectiveness estimates which precludes firm conclusions.

Functional improvement by behavioural activation for depressed older adults.

BACKGROUND: Recovery in mental health care comprises more than symptomatic improvement, but preliminary evidence suggests that only collaborative care may improve functioning of depressed older adults. This study therefore evaluates the effectiveness of behavioural activation (BA) on functional limitations in depressed older adults in primary care. METHODS: This study uses data from a multicentre cluster randomised controlled trial in which 59 primary care centres (PCCs) were randomised to BA and treatment as usual (TAU), and 161 consenting older (≥65 years) adults with clinically relevant symptoms of depression participated. Interventions were an eight-week individual BA programme by a mental health nurse (MHN) and unrestricted TAU. The outcome was self-reported functional limitations (WHODAS 2.0) at post-treatment (9 weeks) and at 12-month follow-up. RESULTS: At the end of treatment, the BA participants reported significantly fewer functional limitations than TAU participants (WHODAS 2.0 difference -3.62, p = 0.01, between-group effect size = 0.39; 95% CI = 0.09-0.69). This medium effect size decreases during follow-up resulting in a small and non-significant effect at the 12-month follow-up (WHODAS 2.0 difference = -2.22, p = 0.14, between-group effect size = 0.24; 95% CI = -0.08-0.56). MoCA score moderated these results, indicating that the between-group differences were merely driven by those with no cognitive impairment. CONCLUSIONS: Compared to TAU, BA leads to a faster improvement of functional limitations in depressed older adults with no signs of cognitive decline. Replication of these findings in confirmatory research is needed.

Behavioural Activation versus Treatment as Usual for Depressed Older Adults in Primary Care: A Pragmatic Cluster-Randomised Controlled Trial.

INTRODUCTION: Effective non-pharmacological treatment options for depression in older adults are lacking. OBJECTIVE: The effectiveness of behavioural activation (BA) by mental health nurses (MHNs) for depressed older adults in primary care compared with treatment as usual (TAU) was evaluated. METHODS: In this multicentre cluster-randomised controlled trial, 59 primary care centres (PCCs) were randomised to BA and TAU. Consenting older (≥65 years) adults (n = 161) with clinically relevant symptoms of depression (PHQ-9 ≥ 10) participated. Interventions were an 8-week individual MHN-led BA programme and unrestricted TAU in which general practitioners followed national guidelines. The primary outcome was self-reported depression (QIDS-SR16) at 9 weeks and 3, 6, 9, and 12-month follow-up. RESULTS: Data of 96 participants from 21 PCCs in BA and 65 participants from 16 PCCs in TAU, recruited between July 4, 2016, and September 21, 2020, were included in the intention-to-treat analyses. At post-treatment, BA participants reported significantly lower severity of depressive symptoms than TAU participants (QIDS-SR16 difference = -2.77, 95% CI = -4.19 to -1.35), p < 0.001; between-group effect size = 0.90; 95% CI = 0.42-1.38). This difference persisted up to the 3-month follow-up (QIDS-SR16 difference = -1.53, 95% CI = -2.81 to -0.26, p = 0.02; between-group effect size = 0.50; 95% CI = 0.07-0.92) but not up to the 12-month follow-up [QIDS-SR16 difference = -0.89 (-2.49 to 0.71)], p = 0.28; between-group effect size = 0.29 (95% CI = -0.82 to 0.24). CONCLUSIONS: BA led to a greater symptom reduction of depressive symptoms in older adults, compared to TAU in primary care, at post-treatment and 3-month follow-up, but not at 6- to 12-month follow-up.

How Does Behavioural Activation Work? A Systematic Review of the Evidence on Potential Mediators.

INTRODUCTION: Behavioural activation is an effective treatment for depression, but little is known about its working mechanisms. Theoretically, its effect is thought to rely on an interplay between activation and environmental reward. OBJECTIVE: The present systematic review examines the mediators of behavioural activation for depression. METHODS: A systematic literature search without time restrictions in Medline, EMBASE, PsycINFO, The Cochrane Library, and CINAHL resulted in 14 relevant controlled and uncontrolled prospective treatment studies that also performed formal mediation analyses to investigate their working mechanisms. After categorising the mediators investigated, we systematically compared the studies' methodological quality and performed a narrative synthesis of the findings. RESULTS: Most studies focused on activation or environmental reward, with 21 different mediators being investigated using questionnaires that focused on psychological processes or beliefs. The evidence for both activation and environmental reward as mediators was weak. CONCLUSIONS: Non-significant results, poor methodological quality of some of the studies, and differences in questionnaires employed precluded any firm conclusions as to the significance of any of the mediators. Future research should exploit knowledge from fundamental research, such as reward motivation from neurobiology. Furthermore, the use of experience sampling methods and idiographic analyses in bigger samples is recommended to investigate potential causal pathways in individual patients.