Is cognitive behavioural therapy effective in reducing suicidal ideation and behaviour when delivered face-to-face or via e-health? A systematic review and meta-analysis

Leavey, Katie; Hawkins, Russell

doi:10.1080/16506073.2017.1332095

Cited by 56 publications

(42 citation statements)

References 58 publications

(57 reference statements)

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“…Among psychotherapies, individual cognitive behavioural therapy has been reported to significantly reduce suicidal thoughts and behaviour compared to treatment as usual 162,176 . In a recent meta-analysis 177 , dialectical behaviour therapy was found to be effective in reducing suicidal behaviour and re-attempt, especially in females with borderline personality disorder.…”

Section: Treatment Of Mental Disordersmentioning

confidence: 99%

Adaptation of evidence‐based suicide prevention strategies during and after theCOVID‐19 pandemic

et al. 2020

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Suicide is preventable. Nevertheless, each year 800,000 people die of suicide in the world. While there is evidence indicating that suicide rates de‐crease during times of crises, they are expected to increase once the immediate crisis has passed. The COVID‐19 pandemic affects risk and pro‐tective factors for suicide at each level of the socio‐ecological model. Economic downturn, augmented barriers to accessing health care, increased access to suicidal means, inappropriate media reporting at the societal level; deprioritization of mental health and preventive activities at the community level; interpersonal conflicts, neglect and violence at the relationship level; unemployment, poverty, loneliness and hopelessness at the individual level: all these variables contribute to an increase of depression, anxiety, post‐traumatic stress disorder, harmful use of alcohol, substance abuse, and ultimately suicide risk. Suicide should be prevented by strengthening universal strategies directed to the entire population, including mitigation of unemployment, poverty and inequalities; prioritization of access to mental health care; responsible media reporting, with information about available support; prevention of increased alcohol intake; and restriction of access to lethal means of suicide. Selective interventions should continue to target known vulnerable groups who are socio‐economically disadvantaged, but also new ones such as first responders and health care staff, and the bereaved by COVID‐19 who have been deprived of the final contact with loved ones and funerals. Indicated preventive strategies targeting individuals who display suicidal behaviour should focus on available pharmacological and psychological treatments of mental disorders, ensuring proper follow‐up and chain of care by increased use of telemedicine and other digital means. The scientific community, health care professionals, politicians and decision‐makers will find in this paper a systematic description of the effects of the pandemic on suicide risk at the society, community, family and individual levels, and an overview of how evidence‐based suicide preventive interventions should be adapted. Research is needed to investigate which adaptations are effective and in which con‐texts.

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Section: Treatment Of Mental Disordersmentioning

confidence: 99%

Adaptation of evidence‐based suicide prevention strategies during and after theCOVID‐19 pandemic

et al. 2020

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“…While this might be the case, comprehensive evidence for the effectiveness of technology-enhanced approaches in reducing suicide risk is still lacking. While Internet-based cognitive behavioural therapy (CBT) seems to be as effective as traditional face-to-face CBT in reducing psychiatric distress in general [42], in contrast to traditional CBT, Internet-based CBT was not found effective in reducing suicidality [43]. A systematic review by Witt and colleagues reported some evidence for the effectiveness of online and phone-based applications for the self-management of suicidal ideation and self-harm in reducing suicidality [44].…”

Section: Technology-enhanced Interventionsmentioning

confidence: 99%

Emerging trends in suicide prevention research

Oexle

Niederkrotenthaler

DeLeo

2019

Current Opinion in Psychiatry

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Purpose of review The purpose of this article is to present notable findings and developments in suicide prevention research and in particular, strategies to detect persons at risk for suicide as well as strategies to reduce suicide risk among the general population and specific risk groups. Recent findings Popular strategies to detect persons at risk for suicide include scanning social media posts, prediction models using electronic health record data as well as the use of experienced sampling methodology to enhance our understanding of the suicidal process. Emerging approaches to reduce suicide risk include the development of media reporting recommendations, mass media campaigns to improve knowledge, attitudes and behaviour, as well as technology-enhanced interventions. Summary Recently, promising approaches to detect individuals at risk for suicide as well as effective strategies to reduce suicide risk emerged. Whether these new opportunities will translate into an effective reduction in suicide rates remains to be demonstrated.

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“…Some reviews suggest that they might be effective in reducing suicidal ideation [ 27 , 28 , 29 , 30 , 31 ], with effect sizes in meta-analyses of randomized controlled trials ranging from Hedges’ g = −0.23, 95% CI −0.35 to −0.11 [ 27 ] to g = −0.29, 95% CI −0.40 to −0.19 [ 28 ] at post-intervention. Other reviews, however, did not find significant positive effects on suicidal ideation [ 32 , 33 , 34 ]. Low treatment adherence further limits the confidence in the benefits of this new treatment approach for clinical practice [ 27 , 28 , 29 ].…”

Section: Introductionmentioning

confidence: 99%

Effectiveness of Internet- and Mobile-Based Cognitive Behavioral Therapy to Reduce Suicidal Ideation and Behaviors: Protocol for a Systematic Review and Meta-Analysis of Individual Participant Data

Büscher

Beisemann

Doebler

et al. 2020

IJERPH

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Internet- and mobile-based cognitive behavioral therapy (iCBT) might reduce suicidal ideation. However, recent meta-analyses found small effect sizes, and it remains unclear whether specific subgroups of participants experience beneficial or harmful effects. This is the study protocol for an individual participant meta-analysis (IPD-MA) aiming to determine the effectiveness of iCBT on suicidal ideation and identify moderators. We will systematically search CENTRAL, PsycINFO, Embase, and Pubmed for randomized controlled trials examining guided or self-guided iCBT for suicidality. All types of control conditions are eligible. Participants experiencing suicidal ideation will be included irrespective of age, diagnoses, or co-interventions. We will conduct a one-stage IPD-MA with suicidal ideation as the primary outcome, using a continuous measure, reliable improvement and deterioration, and response rate. Moderator analyses will be performed on participant-, study-, and intervention-level. Two independent reviewers will assess risk of bias and the quality of evidence using Cochrane’s Risk of Bias Tool 2 and GRADE. This review was registered with OSF and is currently in progress. The IPD-MA will provide effect estimates while considering covariates and will offer novel insights into differential effects on a participant level. This will help to develop more effective, safe, and tailored digital treatment options for suicidal individuals.

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Is cognitive behavioural therapy effective in reducing suicidal ideation and behaviour when delivered face-to-face or via e-health? A systematic review and meta-analysis

Cited by 56 publications

References 58 publications

Adaptation of evidence‐based suicide prevention strategies during and after theCOVID‐19 pandemic

Adaptation of evidence‐based suicide prevention strategies during and after theCOVID‐19 pandemic

Emerging trends in suicide prevention research

Effectiveness of Internet- and Mobile-Based Cognitive Behavioral Therapy to Reduce Suicidal Ideation and Behaviors: Protocol for a Systematic Review and Meta-Analysis of Individual Participant Data

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