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Cognitive behavioural therapy (CBT) is an effective treatment for depression, but a significant minority of clients are difficult to treat, including those with histories of relational trauma. The model of Beck et al. (1979) proposes that adverse childhood experiences lead to negative core beliefs, and these create a susceptibility to depression. However, Beck’s model does not identify trauma as a subset of adverse experiences. An alternative view is that traumatised clients internalise conflicting representations of self and it is conflict, interacting with trauma memories, that creates a vulnerability for depression. In this formulation, methods from the treatment of post-traumatic stress disorder (PTSD) could be incorporated into the treatment of depression, to emotionally process trauma memories and resolve self-identity conflicts. The aims of this study were to: (1) report the treatment of a 67-year-old man with recurrent depression and a history of prolonged relational trauma, and (2) to explore how memory processing from the treatment of PTSD can be incorporated into the treatment of recurrent depression. A single case observational design was used in the long-term treatment of a depressed traumatised client. The client received 47 individual sessions over 19 months in routine clinical practice in a tertiary CBT service. He completed repeated measures of mood, memory intrusions and sleep disruption. The client responded well to treatment with clinically significant improvements across measures of mood, memory and sleep. The effects were sustained over an 18-month follow-up. Memory processing was successfully integrated into a high-intensity treatment for recurrent depression. This is a promising approach for depressed clients with histories of relational trauma.
Key learning aims
(1) To consider how imaginal reliving can be incorporated into CBT for recurrent depression, when relational trauma is present.
(2) To consider the cognitive processing mode of depressed traumatised clients when appraising beliefs about self and others.
(3) To consider vulnerability to depression based on intrusive memories and conflicting self-representations, not only core beliefs.
Meta-competencies govern the application of more basic therapeutic competencies and allow CBT therapists to know when and why particular skills are needed. Meta-competencies are particularly important when responding to the needs of complex or atypical clinical cases. We explore CBT meta-competencies through therapist reflections on complex clinical scenarios and judgements about CBT skills. Three groups of therapists were compared in their responses to four complex clinical scenarios: trainees, recently qualified and experienced therapists. Participants reflected on how they would respond in each scenario and made ratings of the importance of different skills. There was a highly significant difference between trainees and experienced therapists in the number of reflective statements made, but no differences in the number of anticipated actions. There were no group differences in judgements about CBT skills. Reflective capacity is a meta-competency and higher-order skill that CBT therapists continue to develop several years post-qualification. Further studies are needed to replicate this finding and understand its impact on clinical practice.
Key learning aims
(1) To learn about CBT meta-competencies when considering clinical complexity.
(2) To learn how to test meta-competencies in groups of therapists with differing levels of experience.
(3) To identify which meta-competencies are prioritised in clinically complex scenarios.
(4) To support the development of the scale which measures meta-competencies in therapists.
Cognitive behavioural therapy (CBT) is an effective treatment for depression but a significant minority of clients do not complete therapy, do not respond to it, or subsequently relapse. Non-responders, and those at risk of relapse, are more likely to have adverse childhood experiences, early-onset depression, co-morbidities, interpersonal problems and heightened risk. This is a heterogeneous group of clients who are currently difficult to treat.
Aim:
The aim was to develop a CBT model of depression that will be effective for difficult-to-treat clients who have not responded to standard CBT.
Method:
The method was to unify theory, evidence and clinical strategies within the field of CBT to develop an integrated CBT model. Single case methods were used to develop the treatment components.
Results:
A self-regulation model of depression has been developed. It proposes that depression is maintained by repeated interactions of self-identity disruption, impaired motivation, disengagement, rumination, intrusive memories and passive life goals. Depression is more difficult to treat when these processes become interlocked. Treatment based on the model builds self-regulation skills and restructures self-identity, rather than target negative beliefs. A bespoke therapy plan is formed out of ten treatment components, based on an individual case formulation.
Conclusions:
A self-regulation model of depression is proposed that integrates theory, evidence and practice within the field of CBT. It has been developed with difficult-to-treat cases as its primary purpose. A case example is described in a concurrent article (Barton et al., 2022) and further empirical tests are on-going.
Cognitive behavioural therapy (CBT) is an effective treatment for depression but a significant minority of clients are difficult to treat: they are more likely to have adverse childhood experiences, early-onset depression, co-morbidities, interpersonal problems and heightened risk, and are prone to drop out, non-response or relapse. CBT based on a self-regulation model (SR-CBT) has been developed for this client group which incorporates aspects of first, second and third wave therapies. The model and treatment components are described in a concurrent article (Barton et al., 2022). The aims of this study were: (1) to illustrate the application of high dose SR-CBT in a difficult-to-treat case, including treatment decisions, therapy process and outcomes, and (2) to highlight the similarities and differences between SR-CBT and standard CBT models. A single case quasi-experimental design was used with a depressed client who was an active participant in treatment decisions, data collection and interpretation. The client had highly recurrent depression with atypical features and had received several psychological therapies prior to receiving SR-CBT, including standard CBT. The client responded well to SR-CBT over a 10-month acute phase: compared with baseline, her moods were less severe and less reactive to setbacks and challenges. Over a 15-month maintenance phase, with approximately monthly booster sessions, the client maintained these gains and further stabilized her mood. High dose SR-CBT was effective in treating depression in a client who had not received lasting benefit from standard CBT and other therapies. An extended maintenance phase had a stabilizing effect and the client did not relapse. Further empirical studies are underway to replicate these results.
Key learning aims
(1) To find out similarities and differences between self-regulation CBT and other CBT models;
(2) To discover how self-regulation CBT treatment components are delivered in a bespoke way, based on the needs of the individual case;
(3) To consider the advantages of using single case methods in routine clinical practice, particularly with difficult-to-treat cases.
In a detailed study of the gospels of Matthew, Mark, Luke and John, Stephen Barton examines the character of God in each narrative. He shows that controversial claims about God are implied at every point in the gospel stories of Jesus, shaped as they are by an apocalyptic worldview and by the parting of the ways between the synagogue and the church.
Throughout the history of Christianity, the four canonical gospels have proven to be vital resources for Christian thought and practice, and an inspiration for humanistic culture generally. Indeed, the gospels and their interpretation have had a profound impact on theology, philosophy, the sciences, ethics, worship, architecture, and the creative arts. Building on the strengths of the first edition, The Cambridge Companion to the Gospels, 2nd edition, takes account of new directions in gospels research, notably: the milieu in which the gospels were read, copied, and circulated alongside non-canonical gospels; renewed debates about the sources of the gospels and their interrelations; how central gospel themes are illuminated by a variety of critical approaches and theological readings; the reception of the gospels over time and in various media; and how the gospels give insight into the human condition.
Determining infectious cross-transmission events in healthcare settings involves manual surveillance of case clusters by infection control personnel, followed by strain typing of clinical/environmental isolates suspected in said clusters. Recent advances in genomic sequencing and cloud computing now allow for the rapid molecular typing of infecting isolates.
Objective:
To facilitate rapid recognition of transmission clusters, we aimed to assess infection control surveillance using whole-genome sequencing (WGS) of microbial pathogens to identify cross-transmission events for epidemiologic review.
Methods:
Clinical isolates of Staphylococcus aureus, Enterococcus faecium, Pseudomonas aeruginosa, and Klebsiella pneumoniae were obtained prospectively at an academic medical center, from September 1, 2016, to September 30, 2017. Isolate genomes were sequenced, followed by single-nucleotide variant analysis; a cloud-computing platform was used for whole-genome sequence analysis and cluster identification.
Results:
Most strains of the 4 studied pathogens were unrelated, and 34 potential transmission clusters were present. The characteristics of the potential clusters were complex and likely not identifiable by traditional surveillance alone. Notably, only 1 cluster had been suspected by routine manual surveillance.
Conclusions:
Our work supports the assertion that integration of genomic and clinical epidemiologic data can augment infection control surveillance for both the identification of cross-transmission events and the inclusion of missed and exclusion of misidentified outbreaks (ie, false alarms). The integration of clinical data is essential to prioritize suspect clusters for investigation, and for existing infections, a timely review of both the clinical and WGS results can hold promise to reduce HAIs. A richer understanding of cross-transmission events within healthcare settings will require the expansion of current surveillance approaches.
Cognitive behavioural therapy (CBT) for major depression is an effective treatment, but outcomes for complex cases, with co-occurring biological, psychological and social factors, are variable. Complexity factors can cause treatment to become diffuse, disorganized and over-complicated. At Step 3, disorder-specific protocols should be provided with therapy kept as simple as possible and delivered responsively, e.g. barriers to treatment should be tackled, ensure the client is well-prepared and seek to form a strong therapeutic alliance. At Step 4, if disorder-specific protocols have been ineffective, the priority is to formulate how complexity factors are interacting with the client's depression. An individualized formulation is used to carefully target these interactions. The treatment is still evidence-based and simple at the point of delivery, but there is greater emphasis on case-level interactions that are unique to each individual. Case examples are used to illustrate both approaches.
As therapists we frequently use and hear the term ‘complexity’ in relation to clients, situations and settings. Although we may assume there is a shared understanding of what is meant by complexity, is this true? Do we really know what we mean by describing someone, or something, as complex? If we define complexity as ‘consisting of many different and connected parts, not easy to analyse or understand’ (Oxford English Dictionary, 2017), then we are probably describing intersections and interactions between different elements that can influence each other. Interestingly, the origin of the term derives from the Latin past participle plexus, meaning braided or entwined, which captures neatly the sense of the term ‘complex’ as meaning literally braided together. The breadth of this definition therefore may help to account for the diversity of the ways in which the term complexity is used in clinical settings. Continuing with the idea of the plait or braid, it also gives a sense of the number of threads or strands that could be incorporated within such a system. Complexity can derive from any source, and can interact with any part, so it can derive from the patient, the therapist, the therapeutic relationship or the healthcare setting; and each of these may interact with one or more parts. So from any source, complexity can affect processes and outcomes of care.
This essay is a social-scientific study of Paul's deployment of holiness language in 1 Corinthians. Specifically, an interpretation of holiness is offered to explain Paul's argument in 1 Cor 7.12–16 in favour of non-separation in the case of a believer married to a non-believer. For Paul, holiness involves participation in the oneness of God interpreted christologically. This participation is embodied in the holiness-as-oneness of the church. In relations between believers and unbelievers, purity rules to do with sex and marriage carry a significant symbolic burden. In some cases, clear lines of demarcation are drawn. Other cases constitute grey areas; and the suggestion here is that ‘mixed marriages’ are one such. For Paul, holiness is a matter of neither genealogical nor cultic purity. Rather, it has a boundary-transcending quality. In the case of a mixed marriage, the unbelieving partner, together with the children, is sanctified by remaining in oneness with the believing partner. Paul's concern for the oneness of the church spills over into a concern for the oneness of the household.