scholarly journals Effect of web-based depression literacy and cognitive–behavioural therapy interventions on stigmatising attitudes to depression

2004 ◽  
Vol 185 (4) ◽  
pp. 342-349 ◽  
Author(s):  
Kathleen M. Griffiths ◽  
Helen Christensen ◽  
Anthony F. Jorm ◽  
Kimberley Evans ◽  
Chloe Groves
Keyword(s):  
Cognitive Behavioural Therapy ◽  
Skills Training ◽  
Educational Interventions ◽  
Behavioural Therapy ◽  
The Internet ◽  
Perceived Stigma ◽  
Personal Stigma ◽  
Cognitive Behavioural ◽  
Before And After ◽  
Depression Literacy

BackgroundLittle is known about the efficacy of educational interventions for reducing the stigma associated with depression.AimsTo investigate the effects on stigma of two internet depression sites.MethodA sample of 525 individuals with elevated scores on a depression assessment scale were randomly allocated to a depression information website (BluePages), a cognitive–behavioural skills training website (MoodGYM) or an attention control condition. Personal stigma (personal stigmatising attitudes to depression) and perceived stigma (perception of what most other people believe) were assessed before and after the intervention.ResultsRelative to the control, the internet sites significantly reduced personal stigma, although the effects were small. BluePages had no effect on perceived stigma and MoodGYM was associated with an increase in perceived stigma relative to the control. Changes in stigma were not mediated by changes in depression, depression literacy or cognitive–behavioural therapy literacy.ConclusionsThe internet warrants further investigation as a means of delivering stigma reduction programmes for depression.

scholarly journals Digital cognitive behavioural therapy for insomnia and primary care costs in England: an interrupted time series analysis

BJGP Open ◽  
2021 ◽  
pp. BJGPO.2021.0146
Author(s):  
Chris Sampson ◽  
Eleanor Bell ◽  
Amanda Cole ◽  
Christopher B Miller ◽  
Tracey Marriott ◽  
...  
Keyword(s):  
Primary Care ◽  
Time Series ◽  
Cognitive Behavioural Therapy ◽  
Interrupted Time Series ◽  
Behavioural Therapy ◽  
Interrupted Time Series Analysis ◽  
Cognitive Behavioural ◽  
Before And After ◽  
Quasi Experimental ◽  
Care Costs

BackgroundSleepio is an automated digital programme that delivers cognitive behavioural therapy for insomnia (dCBT-I). Sleepio has been proven effective in improving sleep difficulties. However, evidence for the possible impact of Sleepio use on health care costs in the United Kingdom has not previously been developed.AimWe sought to identify the effect of a population-wide rollout of Sleepio in terms of primary care costs in the National Health Service (NHS) in England.Design & settingThe study was conducted in the Thames Valley region of England, where access to Sleepio was made freely available to all residents between October 2018 and January 2020. The study relies on a quasi-experimental design, using an interrupted time series to compare the trend in primary care costs before and after the rollout of Sleepio.MethodWe use primary care data for people with relevant characteristics from nine general practices in Buckinghamshire. Primary care costs include general practice contacts and prescriptions. Segmented regression analysis was used to estimate primary and secondary outcomes.ResultsFor the 10,704 patients included in our sample, the total saving over the 65-week follow-up period was £71,027. This corresponds to £6.64 per person in our sample or around £70.44 per Sleepio user. Secondary analyses suggest that savings may be driven primarily by reductions in prescribing.ConclusionSleepio rollout reduced primary care costs. National adoption of Sleepio may reduce primary care costs by £20 million in the first year. The expected impact on primary care costs in any particular setting will depend on the uptake of Sleepio.

Efficacy of cognitive behavioural therapy delivered over the Internet for depressive symptoms: A systematic review and meta-analysis

2017 ◽  
Vol 24 (8) ◽  
pp. 527-539 ◽  
Author(s):  
Dina M Sztein ◽  
Charles E Koransky ◽  
Leah Fegan ◽  
Seth Himelhoch
Keyword(s):  
Depressive Symptoms ◽  
Confidence Interval ◽  
Cognitive Behavioural Therapy ◽  
Meta Analysis ◽  
Behavioural Therapy ◽  
Mean Difference ◽  
The Internet ◽  
Moderate Depression ◽  
Cognitive Behavioural ◽  
Standardized Mean Difference

Introduction Cognitive behavioural therapy has been shown to improve depressive symptoms in adults with mild to moderate depression. To overcome many of the barriers associated with delivering this treatment, attempts have been made to deliver cognitive behavioural therapy via the Internet. The objective of this meta-analysis is to assess whether Internet-based cognitive behavioural therapy delivered to adults with depressive symptoms leads to a reduction in these symptoms as compared to those who receive no therapy. Methods In September 2015, the Cochrane, PubMed and PsycInfo databases were searched; studies were also found through bibliography searches. Studies were included if they were randomized controlled trials published in English between 2005–2015 conducted with adults >18 years of age experiencing mild to moderate depression where study subjects received Internet-based cognitive behavioural therapy, and the control group was placed on a wait-list. The search yielded 257 articles; 14 of these were included in the meta-analysis. Results Internet delivered cognitive behavioural therapy had a medium effect on reducing depressive symptoms at the end of the study period (standardized mean difference: 0.74, confidence interval: 0.62–0.86, p < 0.001). Internet-delivered cognitive behavioural therapy also has a large sustained effect in maintaining reduction of depressive symptoms in follow-up measures done 3–6 months after the conclusion of the therapy (standardized mean difference: 0.83, confidence interval: 0.69–0.99, p < 0.001). There was no publication bias and low heterogeneity. Discussion Cognitive behavioural therapy delivered over the Internet leads to immediate and sustained reduction in depressive symptoms; thus, it may be a good treatment modality for individuals unable or unwilling to access traditional face-to-face therapy.

scholarly journals Affective Changes During Cognitive Behavioural Therapy–As Measured by PANAS

2017 ◽  
Vol 13 (1) ◽  
pp. 115-124 ◽  
Author(s):  
Lars Saxon ◽  
Sophie Henriksson ◽  
Adam Kvarnström ◽  
Arto J. Hiltunen
Keyword(s):  
Negative Affect ◽  
Positive Affect ◽  
Cognitive Behavioural Therapy ◽  
Behavioural Therapy ◽  
Problem Area ◽  
Personality Types ◽  
Cognitive Behavioural ◽  
Before And After ◽  
Self Actualization ◽  
Therapy Clients

Background:Previous researches have indicated that self-reported positive affect and negative affect is changing in a healthy direction during Cognitive Behavioural Therapy (CBT).Objective:The aim of the present study was to examine how affective personality is related to psychopathology before and after CBT.Method:A group of clients (n = 73) was measured before and after CBT, differentiated by their problem areas at pre-therapy (i.e., depressive, anxious and mixed).Results:After therapy, clients experienced higher positive affect (p < .02, d=0.66), lower negative affect (p < .001, d=0.98) and there was a significant change in the distribution of affective personality regardless of problem area, χ2= 8.41, df = 3, two-tailed p = .04, 99% CI [0.03, 0.04]. The change in the distribution was largest for the two most relevant personality types, self-actualization and self-destructive affective personality.Conclusion:Results indicate that CBT can achieve changes in affect and affective personality.

scholarly journals Demographic and clinical predictors of response to internet-enabled cognitive–behavioural therapy for depression and anxiety

BJPsych Open ◽  
2018 ◽  
Vol 4 (5) ◽  
pp. 411-418 ◽  
Author(s):  
Ana Catarino ◽  
Sarah Bateup ◽  
Valentin Tablan ◽  
Katherine Innes ◽  
Stephen Freer ◽  
...  
Keyword(s):  
Clinical Outcomes ◽  
Cognitive Behavioural Therapy ◽  
Mental Health Problems ◽  
Positive Response ◽  
Behavioural Therapy ◽  
Response To Treatment ◽  
The Internet ◽  
Clinical Predictors ◽  
Predictors Of Response ◽  
Cognitive Behavioural

BackgroundCommon mental health problems affect a quarter of the population. Online cognitive–behavioural therapy (CBT) is increasingly used, but the factors modulating response to this treatment modality remain unclear.AimsThis study aims to explore the demographic and clinical predictors of response to one-to-one CBT delivered via the internet.MethodReal-world clinical outcomes data were collected from 2211 NHS England patients completing a course of CBT delivered by a trained clinician via the internet. Logistic regression analyses were performed using patient and service variables to identify significant predictors of response to treatment.ResultsMultiple patient variables were significantly associated with positive response to treatment including older age, absence of long-term physical comorbidities and lower symptom severity at start of treatment. Service variables associated with positive response to treatment included shorter waiting times for initial assessment and longer treatment durations in terms of the number of sessions.ConclusionsKnowledge of which patient and service variables are associated with good clinical outcomes can be used to develop personalised treatment programmes, as part of a quality improvement cycle aiming to drive up standards in mental healthcare. This study exemplifies translational research put into practice and deployed at scale in the National Health Service, demonstrating the value of technology-enabled treatment delivery not only in facilitating access to care, but in enabling accelerated data capture for clinical research purposes.Declaration of interestA.C., S.B., V.T., K.I., S.F., A.R., A.H. and A.D.B. are employees or board members of the sponsor. S.R.C. consults for Cambridge Cognition and Shire. Keywords: Anxiety disorders; cognitive behavioural therapies; depressive disorders; individual psychotherapy

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