Development and Validation of a Brief Measure of Self-Management Competence: The Self-Management Self-Test (SMST)

Keeping Pace With 21st Century Healthcare: A Framework for Telehealth Research, Practice, and Program Evaluation in Occupational Therapy

The use of telehealth to deliver occupational therapy services rapidly expanded during the COVID-19 pandemic. There are frameworks to evaluate services delivered through telehealth; however, none are specific to occupational therapy. Therefore, occupational therapy would benefit from a framework to systematically evaluate components of telehealth service delivery and build evidence to demonstrate the distinct value of occupational therapy. The PACE Framework outlines four priority domains to address areas of need: (1) Population and Health Outcomes; (2) Access for All Clients; (3) Costs and Cost Effectiveness; and (4) Experiences of Clients and Occupational Therapy Practitioners. This article describes the development and expert reviewer evaluation of the PACE Framework. In addition, the PACE Framework's domains, subdomains, and outcome measure examples are described along with future directions for implementation in occupational therapy research, practice, and program evaluation.

Clinical and Cost-Effectiveness of PSYCHOnlineTHERAPY: Study Protocol of a Multicenter Blended Outpatient Psychotherapy Cluster Randomized Controlled Trial for Patients With Depressive and Anxiety Disorders

Introduction: Internet- and mobile-based interventions (IMIs) and their integration into routine psychotherapy (i.e., blended therapy) can offer a means of complementing psychotherapy in a flexible and resource optimized way. Objective: The present study will evaluate the non-inferiority, cost-effectiveness, and safety of two versions of integrated blended psychotherapy for depression and anxiety compared to standard cognitive behavioral therapy (CBT). Methods: A three-armed multicenter cluster-randomized controlled non-inferiority trial will be conducted comparing two implementations of blended psychotherapy (PSYCHOnlineTHERAPYfix/flex) compared to CBT. Seventy-five outpatient psychotherapists with a CBT-license will be randomized in a 1:1:1 ratio. Each of them is asked to include 12 patients on average with depressive or anxiety disorders resulting in a total sample size of N = 900. All patients receive up to a maximum of 16 psychotherapy sessions, either as routine CBT or alternating with Online self-help sessions (fix: 8/8; flex: 0-16). Assessments will be conducted at patient study inclusion (pre-treatment) and 6, 12, 18, and 24 weeks and 12 months post-inclusion. The primary outcome is depression and anxiety severity at 18 weeks post-inclusion (post-treatment) using the Patient Health Questionnaire Anxiety and Depression Scale. Secondary outcomes are depression and anxiety remission, treatment response, health-related quality of life, patient satisfaction, working alliance, psychotherapy adherence, and patient safety. Additionally, several potential moderators and mediators including patient characteristics and attitudes toward the interventions will be examined, complemented by ecological day-to-day digital behavior variables via passive smartphone sensing as part of an integrated smart-sensing sub-study. Data-analysis will be performed on an intention-to-treat basis with additional per-protocol analyses. In addition, cost-effectiveness and cost-utility analyses will be conducted from a societal and a public health care perspective. Additionally, qualitative interviews on acceptance, feasibility, and optimization potential will be conducted and analyzed. Discussion: PSYCHOnlineTHERAPY will provide evidence on blended psychotherapy in one of the largest ever conducted psychotherapy trials. If shown to be non-inferior and cost-effective, PSYCHOnlineTHERAPY has the potential to innovate psychotherapy in the near future by extending the ways of conducting psychotherapy. The rigorous health care services approach will facilitate a timely implementation of blended psychotherapy into standard care. Trial Registration: The trial is registered in the German Clinical Trials Register (DRKS00023973; date of registration: December 28th 2020).

Utilization of e-mental-health and online self-management interventions of patients with mental disorders-A cross-sectional analysis

Background

Web-based treatments and online self-management interventions extend the range of therapeutic supply. Since the number of online self-management interventions is steadily increasing, we aimed to examine, how web-based services currently influence mental health care, asking about previous internet use and future interests of patients with mental disorders.

Methods

We consulted patients (n = 400) from all services of the Department of Psychiatry and Psychotherapy of the University of Leipzig using a 28-item questionnaire. Overall, 301 questionnaires could be used for analysis. The data were analysed by means of descriptive statistics and group comparisons.

Results

The majority of patients (98.3%) were using the internet. Data revealed younger patients were searching for information on diseases (p < .001; M = 35.7 ±13.2), psychiatrists (p < .001; M = 34.6 ±11.6) and exchange with other patients (p < .001; M = 32 ±10.6) more often than older patients. We also found the internet was consulted more often regarding the search for information (p = .011; M = 58.3 ±10.9) and psychiatrists (p < .001; M = 35.7 ±13.2) the lower the patients’ level of functioning was. While only a small proportion (10.1%) of the sample had used online self-management interventions before, there is a far greater number (46.1%) who stated an interest to use online self-management interventions in the future. This interest was greater in patients who were younger (p < .001; M = 33.8 ±13.2) had a higher education level (p = .003; university degree = 59.2%, high school degree = 52.3%; mandatory school degree: 34.8%).

Conclusions

While only a small percentage of patients uses online self-management interventions, there is a far greater interest to include them into the treatment. Further research has to investigate how the integration of web-based services into the whole treatment process can be optimized. In addition, standardized diagnostic methods have to be found to evaluate the needs and experiences of patients.