Cognitive Behavioral Therapy

Gatchel, Robert J.; Rollings, Kathryn H.

doi:10.1016/b978-0-323-07293-9.00021-0

Cited by 2 publications

(2 citation statements)

References 54 publications

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“…Mobile-delivered CBT was a commonly identified remote treatment of psychotic symptoms or AVHs (Bucci et al, 2015;Garety et al, 2017;Gottlieb et al, 2013Gottlieb et al, , 2017. CBT is a psychological intervention in which a therapist helps patients confront and modify irrational nondelusional thoughts and beliefs (Gatchel & Rollings, 2012). Several studies recommend CBT combined with antipsychotic medication for people with psychosis (Morrison, 2018;Morrison et al, 2018).…”

Section: Tabletmentioning

confidence: 99%

mHealth for schizophrenia spectrum disorders management: A systematic review

Chivilgina

Wangmo

Elger

et al. 2020

Int J Soc Psychiatry

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Background: Various types of computational technologies can be used to access, store and wirelessly share private and sensitive user-related information. The ‘big data’ provided by these technologies may enable researchers and clinicians to better identify behavioral patterns and to provide a more personalized approach to care. The information collected, however, can be misused or potentially abused, and therefore could be detrimental to the very people who provided their medical data with the hope of improving care. This article focuses on the use of emerging mobile technologies that allow the collection of data about patients experiencing schizophrenia spectrum and related disorders. Schizophrenia has been recognized by the Sustainable Development Goals of the United Nations for its burden on our health care system and society [1]. Our analysis provides an overview of the range of available mobile technologies for people with schizophrenia and related conditions along with the technology’s reported capabilities and limitations, and efficacy of mHealth interventions based on the data from articles. Thus, the focus of this review is first and foremost to update the scope of existing technologies as previous systematic reviews such as the ones by Alvarez-Jimenez et al. and by Firth and Torous are outdated [2, 3]. Although we also examine the ethical issues arising from the use of these technologies, for an in-depth analysis of the ethical implications of mobile Health technologies (mHealth), we refer the readers to our follow-up article. In terms of the ubiquitous availability of technology on the internet, our article summarizes significant information for mental health specialists and apprises the reader about the existence of these technologies. Objectives: In terms of the ubiquitous availability of technology on the internet, our article summarizes significant information for mental health specialists and apprises the reader about the existence of these technologies.

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Section: Tabletmentioning

confidence: 99%

mHealth for schizophrenia spectrum disorders management: A systematic review

Chivilgina

Wangmo

Elger

et al. 2020

Int J Soc Psychiatry

View full text Add to dashboard Cite

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“…Cognitive behavioral therapy (CBT) is a psychosocial intervention approach in which behavioral change is initiated by a therapist helping patients to confront and modify the irrational thoughts and beliefs that are most likely at the root of their maladaptive behaviors[ 9 ]. CBT is recommended as the first-line treatment for insomnia[ 8 , 10 ], and many studies have demonstrated its effect in improving sleep quality and reducing related sleep disorders[ 11 - 13 ].…”

Section: Introductionmentioning

confidence: 99%

Effectiveness of cognitive behavior therapy for sleep disturbance and glycemic control in persons with type 2 diabetes mellitus: A community-based randomized controlled trial in China

Zhang

Zhang²,

Chang³

et al. 2021

WJD

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BACKGROUND Poor sleep quality is a common clinical feature in patients with type 2 diabetes mellitus (T2DM), and often negatively related with glycemic control. Cognitive behavioral therapy (CBT) may improve sleep quality and reduce blood sugar levels in patients with T2DM. However, it is not entirely clear whether CBT delivered by general practitioners is effective for poor sleep quality in T2DM patients in community settings. AIM To test the effect of CBT delivered by general practitioners in improving sleep quality and reducing glycemic levels in patients with T2DM in community. METHODS A cluster randomized controlled trial was conducted from September 2018 to October 2019 in communities of China. Overall 1033 persons with T2DM and poor sleep quality received CBT plus usual care or usual care. Glycosylated hemoglobin A1c (HbAlc) and sleep quality [Pittsburgh Sleep Quality Index (PSQI)] were assessed. Repeated measures analysis of variance and generalized linear mixed effects models were used to estimate the intervention effects on hemoglobin A1c and sleep quality. RESULTS The CBT group had 0.64, 0.50, and 0.9 lower PSQI scores than the control group at 2 mo, 6 mo, and 12 mo, respectively. The CBT group showed 0.17 and 0.43 lower HbAlc values than the control group at 6 mo and 12 mo. The intervention on mean ΔHbAlc values was significant at 12 mo ( t = 3.68, P < 0.01) and that mean ΔPSQI scores were closely related to ΔHbAlc values ( t = 7.02, P < 0.01). Intention-to-treat analysis for primary and secondary outcomes showed identical results with completed samples. No adverse events were reported. CONCLUSION CBT delivered by general practitioners, as an effective and practical method, could reduce glycemic levels and improve sleep quality for patients with T2DM in community.

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Cognitive Behavioral Therapy

Cited by 2 publications

References 54 publications

mHealth for schizophrenia spectrum disorders management: A systematic review

mHealth for schizophrenia spectrum disorders management: A systematic review

Effectiveness of cognitive behavior therapy for sleep disturbance and glycemic control in persons with type 2 diabetes mellitus: A community-based randomized controlled trial in China

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