Video-based CBT-E improves eating patterns in obese patients with eating disorder: A single case multiple baseline study

Abrahamsson, Niclas; Ahlund, Lovisa; Ahrin, Elsa; Alfonsson, Sven

doi:10.1016/j.jbtep.2018.06.010

Cited by 23 publications

(35 citation statements)

References 54 publications

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Section: Multiple Baseline Designmentioning

confidence: 99%

“…The researchers hypothesized that the treatment would lead to a higher frequency of daily meals, indicative of less binge eating. Figure 5 shows the results of a multiple baseline design across participants used to investigate the effectiveness of video-based cognitive behavior therapy for treating eating disorders in five patients living far from urban centers [65]. During the baseline phases, subjects registered their daily eating patterns and symptoms of disordered eating.…”

Section: Multiple Baseline Designmentioning

confidence: 99%

“…Furthermore, subjects were encouraged to regularly record their weight, but these data were not recorded by the researchers. Figure 5 displays the number of daily meals consumed by the subjects, which Abrahamsson et al [65] chose as the main outcome In a multiple baseline design, each participant, outcome, or setting is plotted as its own timeseries. For the first participant, the intervention was introduced on the 17th day; for the second participant, the intervention was introduced on the 19th day; for the third participant, the intervention was introduced on the 22nd day; for the fourth participant, the intervention was introduced on the 27th day; and for the fifth participant, the intervention was introduced on the 28th day.…”

Section: Multiple Baseline Designmentioning

confidence: 99%

“…A restricted randomization scheme for multiple baseline designs has to take into account the staggered introduction of the intervention across participants, meaning that the intervention cannot start on the same day for more than one participant. Abrahamsson et al determined a priori that the total duration of the study is 55 days [65]. Furthermore, the researchers determined a priori that the moment of phase change from the baseline to the intervention would occur randomly for each participant between the 15th and 36th day.…”

Section: Multiple Baseline Designmentioning

confidence: 99%

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Randomized Single-Case Experimental Designs in Healthcare Research: What, Why, and How?

Tanious

Onghena

2019

Healthcare

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Health problems are often idiosyncratic in nature and therefore require individualized diagnosis and treatment. In this paper, we show how single-case experimental designs (SCEDs) can meet the requirement to find and evaluate individually tailored treatments. We give a basic introduction to the methodology of SCEDs and provide an overview of the available design options. For each design, we show how an element of randomization can be incorporated to increase the internal and statistical conclusion validity and how the obtained data can be analyzed using visual tools, effect size measures, and randomization inference. We illustrate each design and data analysis technique using applied data sets from the healthcare literature.

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Section: Multiple Baseline Designmentioning

confidence: 99%

Section: Multiple Baseline Designmentioning

confidence: 99%

Section: Multiple Baseline Designmentioning

confidence: 99%

Section: Multiple Baseline Designmentioning

confidence: 99%

See 2 more Smart Citations

Randomized Single-Case Experimental Designs in Healthcare Research: What, Why, and How?

Tanious

Onghena

2019

Healthcare

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“…In part, this is because evidence-based treatments have been predicated largely on face-toface contact (e.g., monitoring risk; the weighing of patients- Waller & Mountford, 2015). There are some preliminary studies showing that telehealth can be beneficial in treating eating disorders and obesity (e.g., Abrahamsson, Ahlund, Ahrin, & Alfonsson, 2018; Byrne, Crosby, & Le Grange, 2017; Cassin et al, 2016;Giel et al, 2015;Hamatani et al, 2019;Sockalingam et al, 2017), but fewer substantial studies that support this approach (e.g., Ertelt et al, 2011;Mitchell et al, 2008). Kazdin, Fitzsimmons-Craft, and Wilfley (2017) have identified telehealth as requiring further study and development, though the limited evidence to date suggests we can deliver effective therapies for eating disorders at a distance with thoughtful planning and careful delivery (Sproch & Anderson, 2019).…”

Section: Introductionmentioning

confidence: 99%

Cognitive‐behavioral therapy in the time of coronavirus: Clinician tips for working with eating disorders via telehealth when face‐to‐face meetings are not possible

Waller

Pugh

Mulkens

et al. 2020

Intl J Eating Disorders

120

107

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Objective: The coronavirus pandemic has led to a dramatically different way of working for many therapists working with eating disorders, where telehealth has suddenly become the norm. However, many clinicians feel ill equipped to deliver therapy via telehealth, while adhering to evidence-based interventions. This article draws together clinician experiences of the issues that should be attended to, and how to address them within a telehealth framework.Method: Seventy clinical colleagues of the authors were emailed and invited to share their concerns online about how to deliver cognitive-behavioral therapy for eating disorders (CBT-ED) via telehealth, and how to adapt clinical practice to deal with the problems that they and others had encountered. After 96 hr, all the suggestions that had been shared by 22 clinicians were collated to provide timely advice for other clinicians.Results: A range of themes emerged from the online discussion. A large proportion were general clinical and practical domains (patient and therapist concerns about telehealth; technical issues in implementing telehealth; changes in the environment), but there were also specific considerations and clinical recommendations about the delivery of CBT-ED methods.Discussion: Through interaction and sharing of ideas, clinicians across the world produced a substantial number of recommendations about how to use telehealth to work with people with eating disorders while remaining on track with evidencebased practice. These are shared to assist clinicians over the period of changed practice.

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Live psychotherapy by video versus in‐person: A meta‐analysis of efficacy and its relationship to types and targets of treatment

Fernández

Woldgabreal

Day

et al. 2021

Clin Psychology and Psychoth

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In‐person psychotherapy (IPP) has a long and storied past, but technology advances have ushered in a new era of video‐delivered psychotherapy (VDP). In this meta‐analysis, pre‐post changes within VDP were evaluated as were outcome differences between VDP versus IPP or other comparison groups. A literature search identified k = 56 within‐group studies (N = 1681 participants) and 47 between‐group studies (N = 3564). The pre‐post effect size of VDP was large and highly significant, g = +0.99 95% CI [0.67–0.31]. VDP was significantly better in outcome than wait list controls (g = 0.77) but negligible in difference from IPP. Within‐groups heterogeneity of effect sizes was reduced after subgrouping studies by treatment target, of which anxiety, depression, and posttraumatic stress disorder (PTSD) (each with k > 5) had effect sizes nearing 1.00. Disaggregating within‐groups studies by therapy type, the effect size was 1.34 for CBT and 0.66 for non‐CBT. Adjusted for possible publication bias, the overall effect size of VDP within groups was g = 0.54. In conclusion, substantial and significant improvement occurs from pre‐ to post‐phases of VDP, this in turn differing negligibly from IPP treatment outcome. The VDP improvement is most pronounced when CBT is used, and when anxiety, depression, or PTSD are targeted, and it remains strong though attenuated by publication bias. Clinically, therapy is no less efficacious when delivered via videoconferencing than in‐person, with efficacy being most pronounced in CBT for affective disorders. Live psychotherapy by video emerges not only as a popular and convenient choice but also one that is now upheld by meta‐analytic evidence.

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Video-based CBT-E improves eating patterns in obese patients with eating disorder: A single case multiple baseline study

Cited by 23 publications

References 54 publications

Randomized Single-Case Experimental Designs in Healthcare Research: What, Why, and How?

Randomized Single-Case Experimental Designs in Healthcare Research: What, Why, and How?

Cognitive‐behavioral therapy in the time of coronavirus: Clinician tips for working with eating disorders via telehealth when face‐to‐face meetings are not possible

Live psychotherapy by video versus in‐person: A meta‐analysis of efficacy and its relationship to types and targets of treatment

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