Practice-based evidence for spiritually integrated psychotherapies: Examining trajectories of psychological and spiritual distress.

The aims of this practice-based evidence study were to (a) examine clients' trajectories of psychological and spiritual distress over the course of spiritually integrated psychotherapies (SIPs) and (b) explore the role of varying types of spiritual interventions in these outcomes. In total, 164 practitioners of SIPs from 37 settings in a practice-research network administered the Clinically Adaptive Multidimensional Outcome Survey (Sanders et al., 2018) at each session with 1,227 clients and reported their use of theoretical orientations and spiritual interventions on an after-session summary checklist. Focusing on sessions over an initial 12-week period, latent growth curve modeling analyses revealed that clients, on average, experienced significant reduction of psychological distress during their engagement in SIPs with improvements occurring most sharply in the first month. Further, other findings revealed a salient reciprocal interplay with spiritual distress throughout treatment, such that clients who were struggling with their religious faith and/or spirituality were more psychologically distressed and displayed a more attenuated and gradual pattern of symptom reduction. In such cases, clinicians frequently utilized spiritual interventions involving basic skills (e.g., spiritual assessment), virtues (e.g., discuss self-control), and religious attachment (e.g., encourage acceptance of divine love) that were uniquely associated with clients' rate and duration of decline in psychological and spiritual distress. The present findings affirm the routine effectiveness of SIPs along with highlighting the potential value of certain spiritual interventions in supporting holistic recovery among clients who want clinicians to be culturally responsive to their spiritual and/or religious identities. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

The efficacy of individual humanistic-experiential therapies for the treatment of depression: A systematic review and meta-analysis of randomized controlled trials.

OBJECTIVE: Conduct a systematic review and meta-analysis of randomized controlled trials (RCTs) evaluating the efficacy of individual humanistic-experiential therapies (HEPs) for depression. METHOD: Database searches (Scopus, Medline, and PsycINFO) identified RCTs comparing any HEP intervention with a treatment-as-usual (TAU) control or active alternative intervention for the treatment of depression. Included studies were assessed using the Risk of Bias 2 tool and narratively synthesized. Post-treatment and follow-up effect sizes were aggregated using random-effects meta-analysis and moderators of treatment effect were explored (PROSPERO: CRD42021240485). RESULTS: Seventeen RCTs, synthesized across four meta-analyzes, indicated HEP depression outcomes were significantly better than TAU controls at post-treatment (g = 0.41, 95% CI [0.18, 0.65], n = 735), but not significantly different at follow-up (g = 0.14, 95% CI [-0.30, 0.58], n = 631). HEP depression outcomes were comparable to active treatments at post-treatment (g = -0.09, 95% CI [-0.26, 0.08], n = 2131), but significantly favored non-HEP alternative interventions at follow-up (g = -0.21, 95% CI [-0.35, -0.07], n = 1196). CONCLUSION: Relative to usual care, HEPs are effective in the short-term and comparable to non-HEP alternative interventions at post-treatment, but not at follow-up. However, imprecision, inconsistency, and risk of bias concerns were identified as limitations of the evidence included. Future large-scale trials of HEPs with equipoise between comparator conditions are required.

An examination of therapists' professional characteristics as moderators of the effect of feedback on psychological treatment outcomes.

Feedback-informed treatment (FIT) has been shown to reduce the gap between more and less effective therapists. This study aimed to examine therapists' professional characteristics as potential moderators of the effect of feedback on treatment outcomes.The IAPT-FIT Trial was a clinical trial where therapists were randomly assigned to a FIT group or a usual care control group. Treatment response was monitored using measures of depression (PHQ-9), anxiety (GAD-7) and functional impairment (WSAS). In a secondary analysis of this trial (n = 1,835 patients; t = 67 therapists), we used multilevel modelling to examine interactions between therapists' professional characteristics (e.g., attitude towards and self-efficacy regarding feedback utilization, decision-making style, job satisfaction, burnout, difficulties in practice, coping styles, caseload size) with random allocation (FIT vs. controls) to identify moderators of the effects of feedback.Between 9.6% and 10.8% of variability in treatment outcomes was attributable to therapist effects. Therapist-level caseload sizes and external feedback propensity (EFP) moderated the effect of feedback on depression outcomes. No statistically significant main effects were found for any of the included therapist characteristics.FIT reduced variability in outcomes between therapists and was particularly effective for therapists with high EFP and larger caseloads.

Individual treatment selection for patients with post-traumatic stress disorder: External validation of a personalised advantage index.

OBJECTIVE: To test the predictive accuracy and generalisability of a personalised advantage index (PAI) model designed to support treatment selection for Post-Traumatic Stress Disorder (PTSD). METHOD: A PAI model developed by Deisenhofer et al. (2018) was used to predict treatment outcomes in a statistically independent dataset including archival records for N = 152 patients with PSTD who accessed either trauma-focussed cognitive behavioural therapy or eye movement desensitisation and reprocessing in routine care. Outcomes were compared between patients who received their PAI-indicated optimal treatment versus those who received their suboptimal treatment. RESULTS: The model did not yield treatment specific predictions and patients who had received their PAI-indicated optimal treatment did not have better treatment outcomes in this external validation sample. CONCLUSION: This PAI model did not generalise to an external validation sample.

Using Progress Feedback to Enhance Treatment Outcomes: A Narrative Review.

We face increasing demand for greater access to effective routine mental health services, including telehealth. However, treatment outcomes in routine clinical practice are only about half the size of those reported in controlled trials. Progress feedback, defined as the ongoing monitoring of patients' treatment response with standardized measures, is an evidence-based practice that continues to be under-utilized in routine care. The aim of the current review is to provide a summary of the current evidence base for the use of progress feedback, its mechanisms of action and considerations for successful implementation. We reviewed ten available meta-analyses, which report small to medium overall effect sizes. The results suggest that adding feedback to a wide range of psychological and psychiatric interventions (ranging from primary care to hospitalization and crisis care) tends to enhance the effectiveness of these interventions. The strongest evidence is for patients with common mental health problems compared to those with very severe disorders. Effect sizes for not-on-track cases, a subgroup of cases that are not progressing well, are found to be somewhat stronger, especially when clinical support tools are added to the feedback. Systematic reviews and recent studies suggest potential mechanisms of action for progress feedback include focusing the clinician's attention, altering clinician expectations, providing new information, and enhancing patient-centered communication. Promising approaches to strengthen progress feedback interventions include advanced systems with signaling technology, clinical problem-solving tools, and a broader spectrum of outcome and progress measures. An overview of methodological and implementation challenges is provided, as well as suggestions for addressing these issues in future studies. We conclude that while feedback has modest effects, it is a small and affordable intervention that can potentially improve outcomes in psychological interventions. Further research into mechanisms of action and effective implementation strategies is needed.

Telephone treatments in Improving Access to Psychological Therapies services: an analysis of use and impact on treatment uptake.

BACKGROUND: There is debate about how best to increase access to psychological therapy and deliver mental healthcare effectively and efficiently at a national level. One trend is the increased use of the telephone to deliver therapy. However, there is the potential to disadvantage certain patient groups and/or impact on uptake of help. This study aims to answer three questions: (i) Which factors are associated with being offered an assessment by telephone? (ii) Which factors are associated with attendance at assessment? and (iii) What is the impact of an assessment by telephone on subsequent treatment appointment? METHODS: Routine outcome data was provided by seven UK Improving Access to Psychological Therapy services. The analysis sample comprised 49,923 patients who referred to 615 general practices in 2017. Multilevel modelling, including service and GP practice as random factors, was used to answer the three research questions. RESULTS: The offer of an initial assessment by telephone was strongly associated with local service configuration. Patient self-referral, a shorter wait, greater age and lower deprivation were associated with attendance at assessment and subsequent treatment session. Telephone mode assessment had no impact on the uptake of the assessment but may influence the uptake of further treatment if this was also by telephone. The practitioner carrying out the assessment had a significant effect on subsequent treatment uptake. CONCLUSION: Offering telephone assessments does not have a negative impact on uptake of assessment and services may benefit by facilitating and integrating telephone assessments into their systems. The COVID-19 pandemic has accelerated the use of telephone and other remote means of delivery, and results from this study can inform services to consider how best to re-configure post-pandemic.

Idiographic patient reported outcome measures (I-PROMs) for routine outcome monitoring in psychological therapies: Position paper.

Idiographic patient-reported outcome measures (I-PROMs) are a growing set of individualized tools for use in routine outcome monitoring (ROM) in psychological therapies. This paper presents a position statement on their conceptualization, use, and analysis, based on contemporary evidence and clinical practice. Four problem-based, and seven goal-based, I-PROMs, with some evidence of psychometric evaluation and use in psychotherapy, were identified. I-PROMs may be particularly valuable to the evaluation of psychological therapies because of their clinical utility and their alignment with a patient-centered approach. However, there are several challenges for I-PROMs: how to generate items in a robust manner, their measurement model, methods for establishing their reliability and validity, and the meaning of an aggregated I-PROM score. Based on the current state of the literature, we recommend that I-PROMs are used to complement nomothetic measures. Research recommendations are also made regarding the most appropriate methods for analyzing I-PROM data.

Routine Outcome Monitoring (ROM) and Feedback: Research Review and Recommendations.

OBJECTIVE: To provide a research review of the components and outcomes of routine outcome monitoring (ROM) and recommendations for research and therapeutic practice. METHOD: A narrative review of the three phases of ROM - data collection, feeding back data, and adapting therapy - and an overview of patient outcomes from 11 meta-analytic studies. RESULTS: Patients support ROM when its purpose is clear and integrated within therapy. Greater frequency of data collection is more important for shorter-term therapies, and use of graphs, greater specificity of feedback, and alerts are helpful. Overall effects on patient outcomes are statistically significant (g ≈ 0.15) and increase when clinical support tools (CSTs) are used for not-on-track cases (g ≈ 0.36-0.53). Effects are additive to standard effects of psychological therapies. Organizational, personnel, and resource issues remain the greatest obstacles to the successful adoption of ROM. CONCLUSION: ROM offers a low-cost method for enhancing patient outcomes, on average resulting in an ≈ 8% advantage (success rate difference; SRD) over standard care. CSTs are particularly effective for not-on-track patients (SRD between ≈ 20% and 29%), but ROM does not work for all patients and successful implementation is a major challenge, along with securing appropriate cultural adaptations.

Applying precision methods to treatment selection for moderate/severe depression in person-centered experiential therapy or cognitive behavioral therapy.

OBJECTIVE: To develop two prediction algorithms recommending person-centered experiential therapy (PCET) or cognitive-behavioral therapy (CBT) for patients with depression: (1) a full data model using multiple trial-based and routine variables, and (2) a routine data model using only variables available in the English NHS Talking Therapies program. METHOD: Data was used from the PRaCTICED trial comparing PCET vs. CBT for 255 patients meeting a diagnosis of moderate or severe depression. Separate full and routine data models were derived and the latter tested in an external data sample. RESULTS: The full data model provided the better prediction, yielding a significant difference in outcome between patients receiving their optimal vs. non-optimal treatment at 6- (Cohen's d = .65 [.40, .91]) and 12 months (d = .85 [.59, 1.10]) post-randomization. The routine data model performed similarly in the training and test samples with non-significant effect sizes, d = .19 [-.05, .44] and d = .21 [-.00, .43], respectively. For patients with the strongest treatment matching (d ≥ 0.3), the resulting effect size was significant, d = .38 [.11, 64]. CONCLUSION: A treatment selection algorithm might be used to recommend PCET or CBT. Although the overall effects were small, targeted matching yielded somewhat larger effects.

Pragmatic randomized controlled trial of the Mind Management Skills for Life Programme as an intervention for occupational burnout in mental healthcare professionals.

BACKGROUND: Occupational burnout is highly prevalent in the mental healthcare workforce and associated with poorer job satisfaction, performance and outcomes. AIMS: To evaluate the effects of the Mind Management Skills for Life Programme on burnout and wellbeing. METHODS: N = 173 mental health nurses were recruited from the English National Health Service during the acute phase of the COVID-19 crisis. Participants were allocated to an immediate intervention or a delayed intervention control group, using a stepped wedge randomized controlled trial design. Measures of burnout (OLBI) and wellbeing (WEMWBS) were completed at four time-points: [1] baseline; [2] after the first group finished the intervention; [3] after the second group finished the intervention; and [4] six-months follow-up. RESULTS: Between-group differences were compared at each time-point using ANCOVA adjusting for baseline severity. Statistically significant effects on burnout (d = 0.60) and wellbeing (d = -0.62) were found at time-point 2, favouring the intervention relative to waitlist control. No significant differences were found at subsequent time-points, indicating that both groups improved and maintained their gains after the intervention. CONCLUSIONS: This intervention led to moderate improvements in burnout and wellbeing, despite the adverse circumstances of the COVID-19 pandemic at the time of the study.

A Clinical Leadership Lens on Implementing Progress Feedback in Three Countries: Development of a Multidimensional Qualitative Coding Scheme.

BACKGROUND: Progress feedback, also known as measurement-based care (MBC), is the routine collection of patient-reported measures to monitor treatment progress and inform clinical decision-making. Although a key ingredient to improving mental health care, sustained use of progress feedback is poor. Integration into everyday workflow is challenging, impacted by a complex interrelated set of factors across patient, clinician, organizational, and health system levels. This study describes the development of a qualitative coding scheme for progress feedback implementation that accounts for the dynamic nature of barriers and facilitators across multiple levels of use in mental health settings. Such a coding scheme may help promote a common language for researchers and implementers to better identify barriers that need to be addressed, as well as facilitators that could be supported in different settings and contexts. METHODS: Clinical staff, managers, and leaders from two Dutch, three Norwegian, and four mental health organizations in the USA participated in semi-structured interviews on how intra- and extra-organizational characteristics interact to influence the use of progress feedback in clinical practice, supervision, and program improvement. Interviews were conducted in the local language, then translated to English prior to qualitative coding. RESULTS: A team-based consensus coding approach was used to refine an a priori expert-informed and literature-based qualitative scheme to incorporate new understandings and constructs as they emerged. First, this hermeneutic approach resulted in a multi-level coding scheme with nine superordinate categories and 30 subcategories. Second-order axial coding established contextually sensitive categories for barriers and facilitators. CONCLUSIONS: The primary outcome is an empirically derived multi-level qualitative coding scheme that can be used in progress feedback implementation research and development. It can be applied across contexts and settings, with expectations for ongoing refinement. Suggestions for future research and application in practice settings are provided. Supplementary materials include the coding scheme and a detailed playbook.

Early response as a prognostic indicator in person-centered experiential therapy for depression.

Currently, no reports exist on the phenomenon of early response in humanistic-experiential therapies. This study investigated the prognostic value of early response on posttreatment outcomes in person-centered experiential therapy (PCET) for depression within the English Improving Access to Psychological Therapies program. The design of the study was a retrospective observational cohort study. Routine clinical data were drawn from N = 3,321 patients with depression symptoms. The primary outcome was reliable and clinically significant improvement (RCSI) on the Patient Health Questionnaire-9 (PHQ-9) self-report depression measure at the end of treatment. Early response was operationalized as reliable improvement, defined as a PHQ-9 change score ≥ 6 from baseline to Session 4. Early response was examined as a predictor of RCSI using logistic regression controlling for baseline depression severity. In sensitivity analyses, therapist effects were controlled using multilevel modeling. A total of 38.7% of patients met the criterion for early response. Patients who experienced an early response to treatment were six times more likely to recover at the end of treatment compared to patients who did not have an early response. The early response effect was still evident after accounting for individual variability between therapists. However, a quarter of patients displayed a pattern of eventual response, reaching recovery at end of treatment despite not experiencing an initial improvement early in therapy. Early response to PCET is a reliable predictor of treatment outcome. Different response patterns evidenced in this study indicate that identifying subgroups of patients associated with early and eventual response could support clinical decision-making. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Socioeconomic Deprivation and Dropout from Contemporary Psychological Intervention for Common Mental Disorders: A Systematic Review.

Dropout during psychological intervention is a significant problem. Previous evidence for associations with socioeconomic deprivation is mixed. This study aimed to review the evidence for associations between deprivation and dropout from contemporary adult psychological interventions for common mental disorders (CMDs). Systematic review, narrative synthesis and random effects meta-analysis of peer-reviewed English language journal articles published June 2010-June 2020 was conducted. Data sources included medline, PsycInfo, databases indexed by web of science, ProQuest social science database and sociology collection, and the Cochrane Library, supplemented by forward and backward citation searching. Five studies were eligible for inclusion (mean N = 170, 68% female, 60% White Caucasian, 32% dropout rate, predominantly cognitive behaviour therapy/cognitive processing therapy). Narrative synthesis indicated an overall non-significant effect of deprivation on dropout. Meta-analytic significance of controlled (k = 3) and uncontrolled (k = 4) effects depended on the measure of deprivation included for those studies using more than one measure (controlled OR 1.21-1.32, p = 0.019-0.172, uncontrolled OR 1.28-1.76, p = 0.024-0.423). The low number of included studies meant sub-group comparisons were limited, despite some tentative indications of potential differential effects. A comparator set of excluded studies showed similar uncertainty. There was limited evidence that did not overall suggest a clear significant effect of deprivation on dropout from contemporary individual CMD interventions. However, more contemporary research is needed, as effects may vary according to clinical and methodological factors, and for dropout versus non-initiation.

Out of pocket expenses in obsessive compulsive disorder.

BACKGROUND: Despite anecdotal evidence that the out of pocket costs of OCD can be substantial in some cases, there is no evidence on how many people they affect, or the magnitude of these costs. AIMS: This paper explores the type and quantity of out of pocket expenses reported by a large sample of adults with OCD. METHODS: Data on out of pocket expenses were collected from participants taking part in the OCTET multi-centre randomised controlled trial. Participants were aged 18+, meeting DSM-IV criteria for OCD, and scoring 16+ on the Yale Brown Obsessive Compulsive Scale. Individual-level resource use data including a description and estimated cost of out of pocket expenses were measured using an adapted version of the Adult Service Use Schedule (AD-SUS): a questionnaire used to collect data on resource use. RESULTS: Forty-five percent (208/465) reported out of pocket expenses due to their OCD. The mean cost of out of pocket expenses was £19.19 per week (SD £27.56 SD), range £0.06-£224.00. CONCLUSIONS: Future economic evaluations involving participants with OCD should include out of pocket expenses, but careful consideration of alternative approaches to the collection and costing of this data is needed.

Mental Health During COVID-19 Lockdown in the United Kingdom.

OBJECTIVE: The coronavirus disease (COVID-19) pandemic and related lockdown measures have raised important questions about the impact on mental health. This study evaluated several mental health and well-being indicators in a large sample from the United Kingdom (UK) during the COVID-19 lockdown where the death rate is currently among the highest in Europe. METHODS: A cross-sectional online survey with a study sample that mirrors general population norms according to sex, age, education, and region was launched 4 weeks after lockdown measures were implemented in the UK. Measures included mental health-related quality of life (World Health Organization Quality-of-Life Brief Version psychological domain), well-being (World Health Organization Well-Being Index), depression (Patient Health Questionnaire-9), anxiety (Generalized Anxiety Disorder-7), perceived stress (Perceived Stress Scale-10), and insomnia (Insomnia Severity Index). Analyses of variances, Bonferroni-corrected post hoc tests, and t tests were applied to examine mental health indicators across different sociodemographic groups (age, sex, employment, income, physical activity, relationship status). RESULTS: The sample comprised n = 1006 respondents (54% women) from all regions of the UK. Approximately 52% of respondents screened positive for a common mental disorder, and 28% screened positive for clinical insomnia. Mean scores and standard deviations were as follows: Patient Health Questionnaire-9, mean = 9.0 ± 7.7; Generalized Anxiety Disorder-7, mean = 8.0 ± 6.5; Insomnia Severity Index, mean = 10.4 ± 7.0; Perceived Stress Scale-10, mean = 17.7 ± 7.9; World Health Organization Quality-of-Life Brief Version, mean = 58.6 ± 21.4; and World Health Organization Well-Being Index score, mean = 13.0 ± 6.0. Statistical analyses consistently indicated more severe mental health problems in adults younger than 35 years, women, people with no work, and people with low income (all p values < .05). Mental health indices also varied across UK regions. CONCLUSIONS: The prevalence of depressive, anxiety, and insomnia symptoms is significantly higher in the UK relative to prepandemic epidemiological data. Further studies are needed to clarify the causes for these high rates of mental health symptoms.

An item response theory analysis of an item pool for the recovering quality of life (ReQoL) measure.

PURPOSE: ReQoL-10 and ReQoL-20 have been developed for use as outcome measures with individuals aged 16 and over, experiencing mental health difficulties. This paper reports modelling results from the item response theory (IRT) analyses that were used for item reduction. METHODS: From several stages of preparatory work including focus groups and a previous psychometric survey, a pool of items was developed. After confirming that the ReQoL item pool was sufficiently unidimensional for scoring, IRT model parameters were estimated using Samejima's Graded Response Model (GRM). All 39 mental health items were evaluated with respect to item fit and differential item function regarding age, gender, ethnicity, and diagnosis. Scales were evaluated regarding overall measurement precision and known-groups validity (by care setting type and self-rating of overall mental health). RESULTS: The study recruited 4266 participants with a wide range of mental health diagnoses from multiple settings. The IRT parameters demonstrated excellent coverage of the latent construct with the centres of item information functions ranging from - 0.98 to 0.21 and with discrimination slope parameters from 1.4 to 3.6. We identified only two poorly fitting items and no evidence of differential item functioning of concern. Scales showed excellent measurement precision and known-groups validity. CONCLUSION: The results from the IRT analyses confirm the robust structure properties and internal construct validity of the ReQoL instruments. The strong psychometric evidence generated guided item selection for the final versions of the ReQoL measures.

'So just to go through the options ': patient choice in the telephone delivery of the NHS Improving Access to Psychological Therapies services.

This article considers patient choice in mental healthcare services, specifically the ways that choice is enabled or constrained in patient-practitioner spoken interaction. Using the method of conversation analysis (CA), we examine the language used by practitioners when presenting treatment delivery options to patients entering the NHS Improving Access to Psychological Therapies (IAPT) service. Analysis of 66 recordings of telephone-delivered IAPT assessment sessions revealed three patterns through which choice of treatment delivery mode was presented to patients: presenting a single delivery mode; incrementally presenting alternative delivery modes, in response to patient resistance; and parallel presentation of multiple delivery mode options. We show that a distinction should be made between (i) a choice to accept or reject the offer of a single option and (ii) a choice that is a selection from a range of options. We show that the three patterns identified are ordered in terms of patient-centredness and shared decision-making. Our findings contribute to sociological work on healthcare interactions that has identified variability in, and variable consequences for, the ways that patients and practitioners negotiate choice and shared decision-making. Findings are discussed in relation to tensions between the political ideology of patient choice and practical service delivery constraints.

A systematic review and meta-analysis of the good-enough level (GEL) literature.

The "good-enough level" (GEL) model proposes that people respond differentially to psychotherapy, and that the typical curvilinear "dose-response" shape of change may be an artifact of aggregation. We conducted a systematic review and meta-analysis of the GEL literature to examine (a) whether different subgroups of adults accessing psychotherapy respond to therapy at different rates and (b) whether the shape of change is linear or nonlinear. This review was preregistered on PROSPERO. Fifteen studies were synthesized (n = 114,123), with 10 included across two meta-analyses (n = 46,921; n = 41,515). Systematic searches took place using Medline, PsycINFO and Scopus databases. A key inclusion criterion was that cases must be stratified by treatment length to examine the GEL. In support of the GEL, there was no overall association between treatment duration and outcomes (r = -0.24, 95% confidence interval [CI: -0.70, 0.36], p = .27). Longer treatments were associated with higher baseline symptom scores (r = 0.15, 95% CI [0.08, 0.22], p < .001) and slower rates of change. Different shapes of change were also evidenced: Curvilinear responses were more often found in shorter treatments, while linear shapes were more often found in longer treatments. However, findings varied depending on methodological criteria used. Although rates of change varied in line with the GEL, most people nonetheless responded within defined boundaries as described in the dose-response literature. We therefore refer to the notion of "boundaried responsive regulation" to describe the relationship between treatment duration and outcomes. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Therapist effects vary significantly across psychological treatment care sectors.

Psychological intervention outcomes depend in part on the therapist who provides the intervention (a therapist effect). However, recent reviews suggest that therapist effects may vary as a function of the context in which care is provided and therefore should not be generalized beyond that context. This study statistically analysed therapist effect differences between care sectors delivering psychological interventions. The sample comprised routine clinical data from 26,814 patients (69% female; mean age 38) and 466 therapists in five care sectors: primary care, secondary care, university, voluntary, and workplace. Therapist effects were analysed using multilevel models and Markov chain Monte Carlo credible intervals. The therapist effect was significantly larger in primary care (8.4%) than in any other sector (1.1%-2.3%) except secondary care (4.1%), after controlling for explanatory baseline and process variables as well as accounting for differences between clinics. There were no other significant differences detected between care sectors. These findings support the hypothesis that differences in effectiveness between therapists vary depending on the context in which psychological treatment is provided. Differences in relative therapist impact can vary by a factor of 4-8 across treatment sectors. This should be considered in the application of research evidence, treatment planning, and the design and delivery of psychological care provision.

Recovery from depression: a systematic review of perceptions and associated factors.

Background: Despite extensive literature examining perceptions of recovery from severe mental illness, literature focusing on recovery from depression in adults is limited.Aim: Systematically review the existing literature investigating patients' and clinicians' perceptions of, and factors associated with, recovery from depression.Method: Studies investigating perceptions of, and factors associated with, recovery from depression in adults were identified through database searches. Studies were assessed against inclusion criteria and quality rating checklists.Results: Fourteen studies met the inclusion criteria. Recovery from depression is perceived as a complex, personal journey. The concept of normalised, biomedical definitions of recovery is not supported, with the construction of self and societal gender expectations identified by women as central to recovery. Recovery from depression was associated with higher levels of perceived social support and group memberships. A range of factors are identified as influencing recovery. However, physicians and patients prioritise different factors assessing what is important in being "cured" from depression.Conclusions: Recovery from depression is perceived by patients as a complex, personal process, influenced by a range of factors. However, greater understanding of clinicians' perceptions of client recovery from depression is essential to inform clinical practice and influence future research.