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A service-based evaluation of a therapist-supported online cognitive behavioral therapy program for depression.

Sharry J, Davidson R, McLoughlin O, Doherty G - J. Med. Internet Res. (2013)

Bottom Line: A high level of engagement was observed compared to a previous study within the same service, along with extensive use of a range of program features.A statistically significant (P<.001) decrease in self-reported depressive symptomatology from preintervention (mean BDI-II 25.47) to postintervention (mean BDI-II 15.53) with a large effect size (d=1.17) was also observed.The results indicate the potential of unintrusive and easily provided online support to enhance engagement with online interventions.

View Article: PubMed Central - HTML - PubMed

Affiliation: Mater Misericordiae University Hospital, Dublin, Ireland.

ABSTRACT

Background: Evidence suggests that Internet-delivered cognitive behavioral therapy (CBT) may be as effective as face-to-face delivery for depression, but attrition and engagement rates remain a challenge.

Objective: This service-based study aimed to evaluate an online, therapist-supported, CBT-based program for depression. The program was specifically designed to address engagement issues, most notably by integrating online therapist support and communication within the platform.

Methods: Participants were 80 adults who were registered university students. Participants used the modular online program over 8 weeks, supported by a therapist. Engagement information was gathered automatically by the online system, and analyzed for all participants. Severity of participants' self-reported symptoms of depression were assessed preintervention and postintervention using the Beck Depression Inventory-II (BDI-II). Postintervention measures were completed by 53 participants.

Results: A high level of engagement was observed compared to a previous study within the same service, along with extensive use of a range of program features. A statistically significant (P<.001) decrease in self-reported depressive symptomatology from preintervention (mean BDI-II 25.47) to postintervention (mean BDI-II 15.53) with a large effect size (d=1.17) was also observed.

Conclusions: The results indicate the potential of unintrusive and easily provided online support to enhance engagement with online interventions. The system described in the paper also illustrates how such online support can be tightly integrated with interactive online programs by using a range of design strategies intended to improve the user experience.

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Related in: MedlinePlus

Dropout of clients over time.
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figure4: Dropout of clients over time.

Mentions: Figure 4 illustrates the level of engagement with the program for the overall sample (N=80). This graph depicts the number of users who were engaged at a given week or later, and conversely the week at which users dropped out. Looking at the graph, it is evident that relatively few users dropped out in the initial weeks of the program, and 79% were engaged at the target week 8 or later.


A service-based evaluation of a therapist-supported online cognitive behavioral therapy program for depression.

Sharry J, Davidson R, McLoughlin O, Doherty G - J. Med. Internet Res. (2013)

Dropout of clients over time.
© Copyright Policy - open-access
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC3713925&req=5

figure4: Dropout of clients over time.
Mentions: Figure 4 illustrates the level of engagement with the program for the overall sample (N=80). This graph depicts the number of users who were engaged at a given week or later, and conversely the week at which users dropped out. Looking at the graph, it is evident that relatively few users dropped out in the initial weeks of the program, and 79% were engaged at the target week 8 or later.

Bottom Line: A high level of engagement was observed compared to a previous study within the same service, along with extensive use of a range of program features.A statistically significant (P<.001) decrease in self-reported depressive symptomatology from preintervention (mean BDI-II 25.47) to postintervention (mean BDI-II 15.53) with a large effect size (d=1.17) was also observed.The results indicate the potential of unintrusive and easily provided online support to enhance engagement with online interventions.

View Article: PubMed Central - HTML - PubMed

Affiliation: Mater Misericordiae University Hospital, Dublin, Ireland.

ABSTRACT

Background: Evidence suggests that Internet-delivered cognitive behavioral therapy (CBT) may be as effective as face-to-face delivery for depression, but attrition and engagement rates remain a challenge.

Objective: This service-based study aimed to evaluate an online, therapist-supported, CBT-based program for depression. The program was specifically designed to address engagement issues, most notably by integrating online therapist support and communication within the platform.

Methods: Participants were 80 adults who were registered university students. Participants used the modular online program over 8 weeks, supported by a therapist. Engagement information was gathered automatically by the online system, and analyzed for all participants. Severity of participants' self-reported symptoms of depression were assessed preintervention and postintervention using the Beck Depression Inventory-II (BDI-II). Postintervention measures were completed by 53 participants.

Results: A high level of engagement was observed compared to a previous study within the same service, along with extensive use of a range of program features. A statistically significant (P<.001) decrease in self-reported depressive symptomatology from preintervention (mean BDI-II 25.47) to postintervention (mean BDI-II 15.53) with a large effect size (d=1.17) was also observed.

Conclusions: The results indicate the potential of unintrusive and easily provided online support to enhance engagement with online interventions. The system described in the paper also illustrates how such online support can be tightly integrated with interactive online programs by using a range of design strategies intended to improve the user experience.

Show MeSH
Related in: MedlinePlus