Evaluation of a video-based Internet intervention as preparation for inpatient psychosomatic rehabilitation: study protocol for a randomized controlled trial

Psychosomatic Rehabilitation Patients and the General Population During COVID-19: Online Cross-sectional and Longitudinal Study of Digital Trainings and Rehabilitation Effects

BACKGROUND

The COVID-19 pandemic has largely affected people's mental health and psychological well-being. Specifically, individuals with a pre-existing mental health disorder seem more impaired by lockdown measures posing as major stress factors. Medical rehabilitation treatment can help people cope with these stressors. The internet and digital apps provide a platform to contribute to regular treatment and to conduct research on this topic.

OBJECTIVE

Making use of internet-based assessments, this study investigated individuals from the general population and patients from medical, psychosomatic rehabilitation clinics. Levels of depression, anxiety, loneliness, and perceived stress during the COVID-19 pandemic, common COVID-19-related worries, and the intention to use digital apps were compared. Furthermore, we investigated whether participating in internet-delivered digital trainings prior to and during patients' rehabilitation stay, as well as the perceived usefulness of digital trainings, were associated with improved mental health after rehabilitation.

METHODS

A large-scale, online, cross-sectional study was conducted among a study sample taken from the general population (N=1812) in Germany from May 2020 to April 2021. Further, a longitudinal study was conducted making use of the internet among a second study sample of psychosomatic rehabilitation patients at two measurement time points-before (N=1719) and after (n=738) rehabilitation-between July 2020 and April 2021. Validated questionnaires and adapted items were used to assess mental health and COVID-19-related worries. Digital trainings were evaluated. Propensity score matching, multivariate analyses of covariance, an exploratory factor analysis, and hierarchical regression analyses were performed.

RESULTS

Patients from the psychosomatic rehabilitation clinics reported increased symptoms with regard to depression, anxiety, loneliness, and stress (F_4,2028=183.74, P<.001, η²_p=0.27) compared to the general population. Patients perceived greater satisfaction in communication with health care professionals (F_1,837=31.67, P<.001, η²_p=0.04), had lower financial worries (F_1,837=38.96, P<.001, η²_p=0.04), but had higher household-related worries (F_1,837=5.34, P=.02, η²_p=0.01) compared to the general population. Symptoms of depression, anxiety, loneliness, and perceived stress were lower postrehabilitation (F_1,712=23.21, P<.001, η²_p=0.04) than prior to rehabilitation. Psychosomatic patients reported a higher intention to use common apps and digital trainings (F_3,2021=51.41, P<.001, η²_p=0.07) than the general population. With regard to digital trainings offered prior to and during the rehabilitation stay, the perceived usefulness of digital trainings on rehabilitation goals was associated with decreased symptoms of depression (β=-.14, P<.001), anxiety (β=-.12, P<.001), loneliness (β=-.18, P<.001), and stress postrehabilitation (β=-.19, P<.001). Participation in digital group therapy for depression was associated with an overall change in depression (F_1,725=4.82, P=.03, η²_p=0.01) and anxiety (F_1,725=6.22, P=.01, η²_p=0.01) from pre- to postrehabilitation.

CONCLUSIONS

This study validated the increased mental health constraints of psychosomatic rehabilitation patients in comparison to the general population and the effects of rehabilitation treatment. Digital rehabilitation components are promising tools that could prepare patients for their rehabilitation stay, could integrate well with face-to-face therapy during rehabilitation treatment, and could support aftercare.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04453475; https://clinicaltrials.gov/ct2/show/NCT04453475 and ClinicalTrials.gov NCT03855735; https://clinicaltrials.gov/ct2/show/NCT03855735.

Implementing Digital Trainings within Medical Rehabilitations: Improvement of Mental Health and Synergetic Outcomes with Healthcare Service

The need for new technologies in healthcare services has been stressed. However, little is known about the effectiveness of digital interventions integrated in psychosomatic rehabilitation processes. Data from 724 patients from psychosomatic rehabilitation clinics were analyzed with regard to the effectiveness of digital trainings indicated by a change in symptoms related to depression, anxiety, stress, and loneliness from pre– to post–rehabilitation. Rehabilitation satisfaction was examined in association with reaching rehabilitation goals and satisfaction with communication. A mixed repeated measures analyses of covariance, analyses of covariance, and hierarchical stepwise regression analyses were performed. Results indicated a superior effectiveness for the intervention group receiving all offered digital treatments in addition to the regular face-to-face rehabilitation program with regard to symptoms of depression (F (2674) = 3.93, p < 0.05, η_p² = 0.01), anxiety (F (2678) = 3.68, p < 0.05, η_p² = 0.01) post-rehabilitation, with large effect sizes for both depression (d = 1.28) and anxiety (d = 1.08). In addition, rehabilitation satisfaction was positively associated with reaching rehabilitation goals and perceived communication with healthcare workers. Digital interventions appeared effective in supporting mental health of psychosomatic rehabilitation patients’ post-rehabilitation. These findings support the inclusion of multidisciplinary and interdisciplinary digital and face-to-face treatment programs and call for more implementations of new technologies in a context of complexity to improve health and healthcare service.

Integration of the work-related online aftercare intervention 'GSA-online plus' (healthy and without stress at the workplace) into clinical practice: study protocol for an implementation study

Background

In a previous RCT we established the efficacy of the psychodynamic online aftercare programme ‘GSA-Online’ (‘Health Training Stress Management at the Workplace’) for rehabilitants with work-related stress facing return to work after long-term sickness absence. The purpose of this trial is to implement it into routine care.

Methods/design

The study is performed in rehabilitation clinics with patients of different medical indications (psychosomatic, orthopedic and cardiological diseases). Rehabilitants get access to the study platform during inpatient medical rehabilitation. ‘GSA-Online plus’ integrates exploratory and motivational videos on the web application to familiarize potential participants and motivate them to follow through with it. In the 12-week writing intervention, patients write weekly online diary entries, answered by anonymous online therapists within 24 h. Primary outcome measures are the recommendation rate of ‘GSA-Online plus’ and participation rates of the rehabilitants. As secondary outcomes, psychological symptoms, overall satisfaction, helpfulness of the therapeutic feedback and utilization of ‘GSA-Online plus’ will be analysed exploratory along with the course of weekly ratings of well-being and work ability.

Discussion

Meanwhile many clinical trials and meta-analysis prove that internet-based interventions are effective. This study will add insights on the dissemination and implementation of efficacious, evidence-based online treatments into medical practice. We expect a successful implementation of ‘GSA-Online plus’ in the clinical routine of the rehabilitation clinics. The focus of evaluation is on acceptance of the programme, both by the physicians in charge and the patients. In the future ‘GSA-Online plus’ could be implemented as a routine aftercare programme for rehabilitation inpatients with occupational stress.

Trial registration

The trial was retrospectively registered on 6th January 2017 at ClinicalTrials.gov (Trial Registration number: ClinicalTrials Gov ID NCT03019718).

Transdiagnostic, Psychodynamic Web-Based Self-Help Intervention Following Inpatient Psychotherapy: Results of a Feasibility Study and Randomized Controlled Trial

BACKGROUND

Mental disorders have become a major health issue, and a substantial number of afflicted individuals do not get appropriate treatment. Web-based interventions are promising supplementary tools for improving health care for patients with mental disorders, as they can be delivered at low costs and used independently of time and location. Although psychodynamic treatments are used frequently in the face-to-face setting, there has been a paucity of studies on psychodynamic Web-based self-help interventions.

OBJECTIVE

The objective of this study was to determine the feasibility and preliminary efficacy of a transdiagnostic affect-focused psychodynamic Web-based self-help intervention designed to increase emotional competence of patients with mental disorders.

METHODS

A total of 82 psychotherapy inpatients with mixed diagnoses were randomized into two groups. Following discharge, the intervention group (IG) got access to a guided version of the intervention for 10 weeks. After a waiting period of 10 weeks, the wait-list control group (WLCG) got access to an unguided version of the intervention. We reported the assessments at the beginning (T0) and at the end of the intervention, resp. the waiting period (T1). The primary outcome was satisfaction with the treatment at T1. Secondary outcome measures included emotional competence, depression, anxiety, and quality of life. Statistical analyses were performed with descriptive statistics (primary outcome) and analysis of covariance; a repeated measurement analysis of variance was used for the secondary outcomes. Effect sizes were calculated using Cohen d and data were analyzed as per protocol, as well as intention-to-treat (ITT).

RESULTS

Patients were chronically ill, diagnosed with multiple diagnoses, most frequently with depression (84%, 58/69), anxiety (68%, 47/69), personality disorder (38%, 26/69), and depersonalization-derealization disorder (22%, 15/69). A majority of the patients (86%, 36/42) logged into the program, of which 86% (31/36) completed the first unit. Satisfaction with the units mastered was rated as good (52%, 16/31) and very good (26%, 9/31). However, there was a steady decline of participation over the course of the program; only 36% of the participants (13/36) participated throughout the trial completing at least 50% of the sessions. According to the ITT analysis, participants improved statistically significantly and with moderate effect sizes (Cohen d) compared with the WLCG regarding depression (d=0.60), quality of life (d=0.53), and emotional competence (d=0.49). Effects were considerably stronger for the completers with respect to depression (d=1.33), quality of life (d=0.83), emotional competence (d=0.68), and general anxiety (d=0.62).

CONCLUSIONS

Although overall program satisfaction and benefit of the program were favorable with respect to the indicators of emotional disorders, the rate of completion was low. Our findings point to the need to target the intervention more specifically to the needs and capabilities of participants and to the context of the intervention.

TRIAL REGISTRATION

Clinicaltrials.gov NCT02671929; https://clinicaltrials.gov/ct2/show/NCT02671929 (Archived by WebCite at http://www.webcitation.org/6ntWg1yWb).

Ready for eHealth? Health Professionals' Acceptance and Adoption of eHealth Interventions in Inpatient Routine Care

eHealth interventions can be effective in treating health problems. However, adoption in inpatient routine care seems limited. The present study therefore aimed to investigate barriers and facilitators to acceptance of eHealth interventions and of online aftercare in particular in health professionals of inpatient treatment. A total of 152 out of 287 health professionals of various professional groups in four inpatient rehabilitation facilities filled out a self-administered web-based questionnaire (response rate: 53%); 128 individuals were eligible for further data analysis. Acceptance and possible predictors were investigated with a complex research model based on the Unified Theory of Acceptance and Use of Technology. Acceptance of eHealth interventions was rather low (M = 2.47, SD = 0.98); however, acceptance of online aftercare was moderate (M = 3.08, SD = 0.96, t(127) = 8.22, p < .001), and eHealth literacy was elevated. Social influence, performance expectancy, and treatment-related internet and mobile use significantly predicted overall acceptance. No differences were found between professional and age groups. Although acceptance of eHealth interventions was limited in health professionals of inpatient treatment, moderate acceptance of online aftercare for work-related stress implies a basis for future implementation. Tailored eHealth education addressing misconceptions about inferiority and incongruity with conventional treatment considering the systemic aspect of acceptance formation are needed.

Using a transdiagnostic, psychodynamic online self-help intervention to maintain inpatient psychosomatic treatment effects: Study protocol of a feasibility study

BACKGROUND

Online self-help interventions have proven to be effective in treating various specific mental disorders, mainly depression and anxiety. Knowledge regarding their acceptance, efficacy, and usefulness in addition to inpatient or outpatient psychotherapy is limited. Therefore, we plan to evaluate an affect-focused, transdiagnostic, psychodynamic online self-help intervention following inpatient psychotherapy for mixed diagnoses in a feasibility study to determine acceptance, satisfaction, and preliminary estimates of efficacy.

METHODS

The intervention is based on the book "Living Like You Mean It" by Ronald J. Frederick (2009) and the Swedish adaption by Johansson and colleagues (2013). The book was translated into German and thoroughly revised using parts of the Swedish adaption and additional tasks from their intervention. In a pilot phase, corrections concerning comprehensibility of the content and exercises were made based on patient's feedback. In the second step, we developed a website presenting the German adaption in eight units. In the third step, at least N = 66 patients from the Department of Psychosomatic Medicine and Psychotherapy will be recruited for a feasibility study. Patients are randomized into two groups. The intervention group (IG) will receive ten weeks of access to the online self-help intervention together with weekly therapeutic feedback on their progress. The wait-list control group (WLC) will receive access to the intervention for ten weeks as well, but without therapeutic feedback and with a ten-week delay. We will conduct assessments at the beginning of the intervention of the IG (T0), the end of the intervention of the IG (T1), two months later (only IG, T2), and at the end of the intervention of the WLC (T3). The primary outcome is satisfaction with the treatment as measured by the ZUF-8 at T1 and T3 respectively. Secondary outcome measures include emotional competence, depression, anxiety, and quality of life.

CONCLUSION

We expect insight into the usefulness and acceptance of an online self-help intervention used to maintain inpatient treatment effects. Furthermore, we await both groups to benefit from the participation in the intervention. Pre- post and between subject differences will be used as estimate effect sizes to calculate the necessary sample size for a larger efficacy trial.