Promises and risks of web-based interventions in the treatment of depression

Effectiveness of iFightDepression® online guided self-help tool in depression: A pilot study

BACKGROUND

Depression is one of the leading causes of human misery and disability worldwide. For those fortunate enough to have access to the rapidly expanding World Wide Web, online self-help tools can guide those suffering from depression, with or without professional intervention, to better manage their symptoms and maintain some measure of self-actualization. This study assesses the efficacy of the widely used, online self-help tool, iFightDepression®.

METHODS

A six-week, observational study was conducted with 143 participants (29.4% men, mean age: 37.8; standard deviation [SD] = 12.05, range = 18-70, years) in three intervention groups, as follows: 1) Treatment As Usual (TAU), 2) TAU combined with access to the iFightDepression® tool (TAU + iFD®), 3) TAU combined with iFightDepression® and weekly phone support (TAU + iFD® + phone). Depression symptoms were measured pre- and post- by Patient Health Questionnaire-9.

RESULTS

There was a significantly greater decrease of depressive symptoms in both iFD® groups compared to the TAU group (time × group interaction: F(2) = 34.657, p < 0.001, partial η2 = 0.331). The reliable change index calculation identified one participant (0.7%) as having experienced a statistically reliable deterioration in depression. A total of 102 participants (71.3%) showed no reliable change, while 40 participants (28.0%) showed a statistically reliable improvement. Multiple binary logistic regression analysis found odds of reliable improvement to be significantly higher in both iFD® groups compared to the TAU group (TAU + iFD®: OR = 18.52, p = 0.015, TAU + iFD® + Phone: OR = 126.72, p < 0.001). Participants living in Budapest were found to have significantly higher odds for a reliable improvement compared to those living in the countryside (odds ratio [OR] = 4.04, p = 0.023). Finally, higher levels of depressive symptoms at baseline (pretest) were also associated with increased odds for post-intervention improvement (OR = 1.58, p < 0.001). The variance explained by the model is 62.0%. With regards to the iFD® self-help program, the mean of completed modules was 4.8 (SD = 1.73, range = 1-6). Participants in the group supported by weekly phone calls completed significantly more modules (n = 50, M = 5.7, SD = 0.76) than participants without weekly telephone support (n = 52, M = 3.9, SD = 1.94, Z = 5.253, p < 0.001). However, there was no significant difference in the number of completed modules between respondents with a reliable improvement in depression (n = 39, M = 4.9, SD = 1.57) and those without a reliable change (n = 63, M = 4.7, SD = 1.83, Z = 0.343, p = 0.731).

CONCLUSION

Our results confirm previous findings regarding the efficacy of web-based interventions with the low-intensity guidance of mental health professional. Findings suggest that a relatively short additional weekly call may result in a significant decrease in depressive symptoms and higher number of completed iFD® modules. The study confirms that the IFD® tool, both alone and with additional phone support, is a possible and effective way to help patients with mild to moderate and, in some cases, even severe depression. Providing mental and primary health care systems with the availability of online self-help tools may contribute to the efficacious treatment of depression and prevention of the increase in depressive symptoms.

A qualitative interview study of patients' attitudes towards and intention to use digital interventions for depressive disorders on prescription

Background

Depressive disorders are an emerging public health topic. Due to their increasing prevalence, patients with depressive disorders suffer from the lack of therapeutic treatment. Digital health interventions may offer an opportunity to bridge waiting times, supplement, or even substitute in-person treatment. Among others, the Unified Theory of Acceptance and Use of Technology (UTAUT) explains that actual technology use is affected by users' behavioural intention. However, patients' perspectives on digital interventions are rarely discussed within the specific context of primary care provided by general practitioners (GP) and need further exploration.

Method

A qualitative study design with semi-structured interviews was used to explore DTx-acceptance of patients with mild or moderate depression (n = 17). The audio-recorded interviews were transcribed verbatim, coded, and thematically analysed by qualitative content analysis.

Results

Patients' performance expectancies reveal that DTx are not perceived as a substitute for face-to-face treatment. Effort expectancies include potential advantages and efforts concerning technical, motivational, and skill-based aspects. Moreover, we identified health status and experience with depressive disorders as other determinants and potential barriers to patients' DTx acceptance: Difficult stages of depression or long-time experience are perceived hurdles for DTx use. GPs' recommendations were just partly relevant for patients and varied according to patients' consultancy preferences. But still, GPs have a crucial role for access due to prescription. GPs' influence on patients' DTx acceptance varies between three situations: (1) pre-use for consultation, (2) pre-use for access and (3) during DTx-use. Further, GPs' guidance could be especially relevant for patients during DTx-use in routine care.

Discussion

The UTAUT-based exploration suggests that acceptance determinants should be considered independently and embedded in personal and situational aspects. DTx require a healthcare professional to prescribe or diagnose the disease, unlike other digital offerings. We identified prescription- and depression-related determinants, exceeding existing theoretical constructs. GPs' guidance can compensate for some barriers to DTx use e.g., by increasing commitment and motivational support to strengthen patients' acceptance.

Conclusion

We argue for a multidimensional integration of acceptance determinants for further development of health technology acceptance research. Future research should specify how DTx can be integrated into routine care to strengthen user acceptance.

A pilot study of an online self-compassion intervention for adults who stutter

PURPOSE

The primary aim of this pilot study was to determine the preliminary effectiveness of an online self-compassion intervention for improving self-compassion and quality of life in adults who stutter. A secondary aim was to determine intervention acceptability and participant satisfaction.

METHOD

Participants included adults who stutter who completed an online self-compassion module once a week for six consecutive weeks. Pre- and post-intervention measures included the Self-Compassion Scale-Trait and the Overall Assessment of the Speaker's Experience of Stuttering. Participants also completed acceptability questionnaires weekly and post-intervention via quantitative and qualitative reports.

RESULT

Ten participants completed all six intervention modules, as well as pre- and post-intervention measures. Participants reported increased self-compassion and improved quality of life at post-intervention, as well as high intervention acceptability with regard to delivery format, content, duration, and relevance to stuttering and daily life. Individual variation was also observed across acceptability domains.

CONCLUSION

The present study provides pilot data supporting the use of online modules to increase self-compassion and decrease the negative impact of stuttering on the quality of life among adults who stutter. Future studies should employ larger sample sizes, compare outcomes to a control group, and determine if gains are maintained over time.