BackgroundMental health problems account for almost half of all ill health in people under 65 years. The majority are non-psychotic (e.g. depression, anxiety and phobias). For some people, art therapy may provide more profound and long-lasting healing than more standard forms of treatment, perhaps because it can provide an alternative means of expression and release from trauma. As yet, no formal evaluation of art therapy for non-psychotic mental health disorders has been conducted.AimThis review aimed to evaluate evidence for the clinical effectiveness and cost-effectiveness of art therapy for non-psychotic mental health disorders.MethodsComprehensive literature searches for studies examining art therapy in populations with non-psychotic mental health disorders were performed in major health-related and social science bibliographic databases including MEDLINE, EMBASE, The Cochrane Library, Cumulative Index to Nursing and Allied Health Literature (CINAHL), PsycINFO, Allied and Complementary Medicine Database (AMED) and Applied Social Sciences Index and Abstracts (ASSIA) from inception up to May 2013. A quantitative systematic review of clinical effectiveness, a qualitative review to explore the acceptability, relative benefits and potential harms, and a cost–utility analysis of studies evaluating cost-effectiveness of art therapy were conducted.ResultsIn the quantitative review, 15 randomised controlled trials (RCTs) were included (n = 777). Meta-analysis was not possible because of clinical heterogeneity and insufficient comparable data on outcome measures across studies. A narrative synthesis reports that art therapy was associated with significant positive changes relative to the control group in mental health symptoms in 10 out of the 15 studies. The control groups varied between studies but included wait-list/no treatment, attention placebo controls and psychological therapy comparators. Four studies reported improvement from baseline but no significant difference between groups. One study reported that outcomes were more favourable in the control group. The quality of included RCTs was generally low. In the qualitative review, 12 cohort studies were included (n = 188 service users;n = 16 service providers). Themes relating to benefits of art therapy for service users included the relationship with the therapist, personal achievement and distraction. Areas of potential harms were related to the activation of emotions that were then unresolved, lack of skill of the art therapist and sudden termination of art therapy. The quality of included qualitative studies was generally low to moderate. In the cost-effectiveness review, a de novo model was constructed and populated with data identified from the clinical review. Scenario analyses were conducted allowing comparisons of group art therapy with wait-list control, group art therapy with group verbal therapy, and individual art therapy versus control. Art therapy appeared cost-effective compared with wait-list control with high certainty, although generalisability to the target population was unclear. Verbal therapy appeared more cost-effective than art therapy but there was considerable uncertainty and a sizeable probability that art therapy was more clinically effective. The cost-effectiveness of individual art therapy was uncertain and dependent on assumptions regarding clinical benefit and duration of benefit.ConclusionsFrom the limited available evidence, art therapy was associated with positive effects when compared with a control in a number of studies in patients with different clinical profiles, and it was reported to be an acceptable treatment and was associated with a number of benefits. Art therapy appeared to be cost-effective compared with wait-list but further studies are needed to confirm this finding as well as evidence to inform future cost-effective analyses of art therapy versus other treatments.Study registrationThe study is registered as PROSPERO CRD42013003957.FundingThe National Institute for Health Research Health Technology Assessment programme.

Improving Access to Psychological Therapies provided a service that was probably cost-effective within the usual National Institute for Health and Clinical Excellence (NICE) threshold range of £20 000-30 000, but there was considerable uncertainty surrounding the costs and outcome differences.

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Patients require clear information, choice, involvement in decision-making, explicit contracting and clarity about sessions and progress. Opportunities for patient feedback should be the norm, where the therapist and service are vigilant for signs of deterioration and solutions considered. Clinical and methodological significance of this article: Estimates of "unwanted effects," including long-lasting effects, of psychotherapy have ranged from 3% to 15%. Few empirical studies have been conducted in this area. This study aimed to address this gap and provide clinicians with a model of risk factors for negative therapy effects. The findings of this study indicate the importance of providing patients with a supportive service structure that offers clear information, choice and involvement in decision-making. Explicit contracting at the beginning of therapy and clarity about sessions and progress are also important in managing patient expectations throughout. Opportunities for patient feedback should be provided.

BackgroundImproving Access to Psychological Therapy (IAPT) services have increased the number of people with common mental health disorders receiving psychological therapy in England, but concerns remain about how equitably these services are accessed.MethodUsing cohort patient data (N=363) collected as part of the independent evaluation of the two demonstration sites, logistic regression was utilised to identify socio-demographic, clinical and service factors predictive of IAPT non-attendance.ResultsSignificant predictors of IAPT first session non-attendance by patients were: lower non-risk score on the Clinical Outcomes in Routine Evaluation-Outcome Measure (CORE-OM); more frequent thoughts of “being better off dead” (derived from the CORE-OM); either a very recent onset of common mental health disorder (1 month or less) or a long term condition (more than 2 years); and site.LimitationsThe small sample and low response rate are limitations, as the sample may not be representative of all those referred to IAPT services. The predictive power of the logistic regression model is limited and suggests other variables not available in the dataset may also be important predictors.ConclusionsThe clinical characteristics of risk to self, severity of emotional distress, and illness duration, along with site, were more predictive of IAPT non-attendance than socio-demographic characteristics. Further testing of the relationship between these variables and IAPT non-attendance is recommended. Clinicians should monitor IAPT uptake in those they refer and implement strategies to increase their engagement with services, particularly when referring people presenting with suicidal ideation or more chronic illness.