Harald BaumeisterUniversity of Ulm, Institute of Psychology and Education · Department of Clinical Psychology and Psychotherapy
Harald Baumeister
Prof. Dr.
Digital Mental/Behavioral Health Diagnostics/Interventions; Digital Phenotyping, Smart Sensing; Psychotherapy Research
About
555
Publications
132,686
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
15,636
Citations
Publications
Publications (555)
Background: Psychological interventions are increasingly discussed as a method to prevent major depressive disorder (MDD) in adults who already experience subthreshold depressive symptoms. In this individual participant data metaanalysis, we quantify the effect of preventive interventions against control on MDD onset in this population, and explore...
Objective
This systematic review and meta-analysis evaluates the available evidence on efficacy of social support strategies, as defined by the persuasive system design framework, in internet-based and mobile-based interventions (IMI) targeting mental health.
Design
Systematic review and meta-analysis.
Data sources
PubMed, Embase, PsycINFO and th...
BACKGROUND
Mental burden among refugees is high, but access to mental healthcare in Germany is hindered by numerous barriers. Digital interventions are being suggested to facilitate access to mental healthcare. For example, the digital sleep intervention Sleep-e has been culturally adapted for refugees in Germany mainly coming from African and Midd...
The challenge of sustaining user engagement in eHealth interventions is a pressing issue with significant implications for the effectiveness of these digital health tools. This study investigates user engagement in a cognitive-behavioral therapy-based eHealth intervention for procrastination, using a dataset from a randomized controlled trial of 23...
Background:
While the efficacy of digital interventions for the treatment of depression is well established, comprehensive knowledge on how therapeutic changes come about is still limited. This systematic review aimed to provide an overview of research on change mechanisms in digital interventions for depression and meta-analytically evaluate indi...
Importance
While the effects of internet- and mobile-based interventions (IMIs) for depression have been extensively studied, no systematic evidence is available regarding the heterogeneity of treatment effects (HTEs), indicating to what extent patient-by-treatment interactions exist and personalized treatment models might be necessary.
Objective...
This systematic review aimed to synthesize evidence on predictors and moderators of treatment outcomes in internet- and mobile-based interventions (IMIs) for depression, informing personalized care. A systematic search across PubMed, PsycInfo, and Cochrane yielded 33,002 results. Two reviewers independently performed screening, data extraction, ris...
Theoretischer Hintergrund. Die Systemische Therapie ist Teil der psychotherapeutischen Routineversorung für Erwachsene, Kinder und Jugendliche in Deutschland. Jedoch existiert kein standardisiertes Instrumentarium zu ihrer Qualitätssicherung. Fragestellung. Wie kann eine regelmäßige, niedrigschwellige und ökonomische Befragung (Routine Outcome Moni...
„Apps auf Rezept“ – mit diesem Slogan wurde vor einigen Jahren medial und politisch das angekündigt, was heute unter dem Begriff der digitalen Gesundheitsanwendungen, kurz DiGA, Teil der Versorgungslandschaft geworden ist. Auch in der chronischen Schmerztherapie haben diese innovativen Ansätze Einzug gehalten. Sie eröffnen zahlreiche Möglichkeiten...
Background
Mental health problems are prevalent among people with diabetes, yet often under-diagnosed. Smart sensing, utilizing passively collected digital markers through digital devices, is an innovative diagnostic approach that can support mental health screening and intervention. However, the acceptance of this technology remains unclear. Groun...
Zusammenfassung
Die Förderung der psychischen Gesundheit ist zentral für Lebensqualität, körperliches Wohlbefinden, akademische Leistungsfähigkeit und soziale Teilhabe von Studierenden. Evidenzbasierte Internet- und mobilbasierte Interventionen (IMI) können klassische psychosoziale Beratungsangebote ergänzen und eröffnen neue Wege der Versorgung. A...
Background
Counselling adolescents with chronic medical conditions (CMCs) can be challenging regarding suitable interviewing skills and clinicians’ attitudes toward the patient. Successful communication can be a key element of treatment. Motivational Interviewing (MI) is broadly applicable in managing behavioural problems and diseases by increasing...
This review investigates persuasive design frameworks within eHealth, concentrating on methodologies, their prevalence in mental and behavioral health applications, and identifying current research gaps. An extensive search was conducted across 8 databases, focusing on English publications with full text available. The search prioritized primary re...
Introduction
Digital phenotyping can be an innovative and unobtrusive way to improve the detection of insomnia. This study explores the correlations between smartphone usage features (SUF) and insomnia symptoms and their predictive value for detecting insomnia symptoms.
Methods
In an observational study of a German convenience sample, the Insomnia...
Background
Mental health (MH) problems in youth are prevalent, burdening, and frequently persistent. Despite the existence of effective treatment, the uptake of professional help is low, particularly due to attitudinal barriers.
Objective
This study evaluated the effectiveness and acceptability of 2 video-based microinterventions aimed at reducing...
Objective
Smart sensing has the potential to make psychotherapeutic treatments more effective. It involves the passive analysis and collection of data generated by digital devices. However, acceptance of smart sensing among psychotherapy patients remains unclear. Based on the unified theory of acceptance and use of technology (UTAUT), this study in...
Background
Previous studies have shown that growing up with rheumatic conditions can fuel dissatisfaction and psychological distress, which in turn affects disease self-management and treatment adherence. Primary objective of this study was to estimate the prevalence of anxiety and depression symptoms in adolescents and young adults (AYA) with juve...
Background
Studying at university is a stressful time for many, which might result in the development of mental health problems. In the first wave of Covid-19, university students in Turkey reported suffering from an elevated level of stress compared to their peers in other countries. Mindfulness-based interventions could provide the means of succe...
Mental disorders, most commonly anxiety disorders and fourth most common depression, are prevalent in children and adolescents. Internet- and mobile-based interventions might represent a scalable approach to improve mental health care, however, evidence so far is inconclusive and systematic reports on negative effects are missing. Four data-bases w...
Most university students with mental disorders remain untreated. Evaluating the acceptance of intervention targets in mental health treatment, promotion, and prevention, as well as mental health service delivery modes is crucial for reducing potential barriers, increasing healthcare utilization, and efficiently allocating resources in healthcare se...
Background
Despite severely burdened individuals, often being excluded from research studies on internet- and mobile-based interventions (IMIs), negative events (NEs) including suicidal thoughts and behaviors (STBs) can still occur during a trial. NEs require monitoring and adequate safety measures. However, study protocols frequently lack comprehe...
Background
The experience of benefit-finding and growth (BFG), defined as perceiving positive life changes resulting from adversity, is increasingly studied among youths with chronic health conditions (CCs). However, empirical evidence is scarce for explaining individual differences in BFG. The study aimed to test a model of BFG, including an inter...
Background
It is uncertain whether app-based interventions add value to existing mental health care.
Objective
To examine the incremental effects of app-based interventions when used as adjunct to mental health interventions.
Methods
We searched PubMed, PsycINFO, Scopus, Web of Science, and Cochrane Library databases on September 15th, 2023, for...
Background
The daily demands of type 1 diabetes management may jeopardize adolescents’ mental health. We aimed to assess anxiety and depression symptoms by broad-scale, tablet-based outpatient screening in adolescents with type 1 diabetes in Germany.
Methods
Adolescent patients with type 1 diabetes mellitus (n = 2,394; mean age 15.4 y [SD 2.0]; 50...
Objective: Digital stress interventions could be helpful as an “indirect” treatment for depression, but it remains unclear for whom this is a viable option. In this study, we developed models predicting individualized benefits of a digital stress intervention on depressive symptoms at 6-month follow-up. Method: Data of N = 1,525 patients with depre...
BACKGROUND
Unobtrusively collected objective sensor data from everyday devices like smartphones provide a novel paradigm to infer mental health symptoms. This process called smart sensing allows a fine-grained assessment of various features (e.g., time spent at home based on the GPS sensor). Based on its prevalence and impact depression is a promis...
Social anxiety disorder (SAD) is widespread among university students and is associated with high costs for the society. While unguided internet- and mobile-based interventions (IMIs) may have short-term effects in reducing SAD symptoms, evidence for their long-term efficacy and cost-effectiveness is still limited. The aim of this study is to exami...
Introduction:
Behavioral activation (BA) is effective for the treatment of depression. The Health Action Process Approach (HAPA), which is derived from health psychology, can provide a motivational-volitional framework of BA.
Objective:
This study investigated the efficacy of a HAPA-based internet-delivered BA intervention (iBA; called InterAKTI...
Background and aims
Internet Use Disorders (IUDs) are emerging as a societal challenge. Evidence-based treatment options are scarce. Digital health interventions may be promising to deliver psychological treatment to individuals with IUDs directly in their online setting. The aim of this study was to evaluate the efficacy of a digital health interv...
BACKGROUND
Numerous studies have been conducted to predict depressive symptoms using passive smartphone data, mostly integrating the GPS signal as a measure of mobility. Environmental factors have been identified as correlated with depressive symptoms in specialized studies both before and during the pandemic.
OBJECTIVE
The present study combined...
Background
Numerous studies have been conducted to predict depressive symptoms using passive smartphone data, mostly integrating the GPS signal as a measure of mobility. Environmental factors have been identified as correlated with depressive symptoms in specialized studies both before and during the pandemic.
Objective
This study combined a data-...
Background: Digital formats have the potential to enhance accessibility to care for individuals with suicidal ideation. However, digital self-help interventions have faced limitations, including small effect sizes in reducing suicidal ideation, low adherence, and safety concerns.
Objective: Therefore, we aimed to develop a remote blended cognitive...
Background:
Academic procrastination is widespread among college students. Procrastination is strongly negatively correlated with psychological well-being, thus early interventions are needed. Internet- and mobile-based cognitive behavioral therapy (iCBT) could provide a low-threshold treatment option. Human guidance seems to be a decisive mechani...
BACKGROUND
Objective unobtrusively collected GPS features (e.g., homestay, distance) from everyday devices like smartphones may offer a promising augmentation to current assessment tools for depression. However, to date there is no systematic and meta-analytical evidence on the associations between GPS features and depression.
OBJECTIVE
The presen...
Background
The objective, unobtrusively collected GPS features (eg, homestay and distance) from everyday devices like smartphones may offer a promising augmentation to current assessment tools for depression. However, to date, there is no systematic and meta-analytical evidence on the associations between GPS features and depression.
Objective
Thi...
Introduction:
New digital treatment formats may reduce barriers to treatment for individuals with suicidal ideation. This study aimed to investigate the feasibility of a remote blended care programme for this population, defined as acceptability, demand, practicality, adaptation, indications of efficacy and safety.
Methods:
We conducted a mixed-...
Low-threshold and remotely delivered preventive interventions, like telephone coaching, are warranted for farmers who experience multiple risk factors for depression, live in underserved areas, and show low help-seeking behavior. Factors facilitating uptake and actual use of effective remote interventions are important to reduce depression disease...
Background:
Chronic stress poses risks for physical and mental well-being. Stress management interventions have been shown to be effective, and stress management apps (SMAs) might help to transfer strategies into everyday life.
Objective:
This review aims to provide a comprehensive overview of the quality and characteristics of SMAs to give pote...
Objective
Mental health self-report and clinician-rating scales with diagnoses defined by sum-score cut-offs are often used for depression screening. This study investigates whether machine learning (ML) can detect major depressive episodes (MDE) based on screening scales with higher accuracy than best-practice clinical sum-score approaches.
Metho...
Background and aims
Internet use disorder (IUD), characterized as the inability to control one’s internet use, is associated with reduced quality of life and mental health comorbidities such as depression, substance abuse, or anxiety. Evidence-based treatment options are scarce due to the novelty of the diagnosis. Internet- and mobile-based interve...
Background
Accurate and timely diagnostics are essential for effective mental healthcare. Given a resource- and time-limited mental healthcare system, novel digital and scalable diagnostic approaches such as smart sensing, which utilizes digital markers collected via sensors from digital devices, are explored. While the predictive accuracy of smart...
Initial findings indicate the effectiveness of internet-based interventions for body dysmorphic disorder (BDD). In order to substantiate these findings, a seven-module guided internet-based intervention was created and examined. We report the mixed data of participants with clinical and subclinical BDD of the treatment group ( n = 18). We investiga...
Background:
While there is evolving knowledge on change processes of digital cognitive behavioral therapy (CBT) in the treatment of depression, little is known about how these interventions produce therapeutic change in the comorbid constellation of chronic back pain (CBP). Here, we examined whether the effects of a digital intervention to treat d...
Background: Student mobility across borders poses challenges to health systems at the university and country levels. International students suffer from stress more than their local peers, however, do not seek help or underutilize existing help offers. Some barriers to help-seeking among international students are insufficient information regarding...
Background
Existing evidence suggests internet- and mobile-based interventions (IMIs) improve depressive symptoms in college students effectively. However, there is far less knowledge about the potential mechanisms of change of mindfulness-based IMIs, which could contribute to optimizing target groups and interventions. Hence, within this secondary...
Abstract Background Adolescents and young adults (AYA) with a chronic somatic disease (CD) have a 3-fold higher risk of post-traumatic stress disorder (PTSD) than healthy controls. In addition, elevated post-traumatic stress symptoms (PTSS) have a negative impact on CD severity, treatment adherence, health problems and functional impairment. Howeve...
Introduction
During the COVID-19 pandemic, questions about both consequences and helpful strategies to maintain quality of life (QoL) have become increasingly important. Thus, the aim of this study was to investigate the distribution of coping factors during the COVID-19 pandemic, their associations with QoL and the moderating role of certain socio...
Introduction
Digital cognitive behavioral therapy (i-CBT) interventions for the treatment of depression have been extensively studied and shown to be effective in the reduction of depressive symptoms. However, little is known about their effects on suicidal thoughts and behaviors (STB). Information on the impact of digital interventions on STB are...
Background:
Depression is highly prevalent among individuals with chronic back pain. Internet-based interventions can be effective in treating and preventing depression in this patient group, but it is unclear who benefits most from this intervention format.
Method:
In an analysis of two randomized trials (N = 504), we explored ways to predict h...
Unlabelled:
The proliferation of online eHealth has made it much easier for users to access healthcare services and interventions from the comfort of their own homes. This study looks at how well one such platform-eSano-performs in terms of user experience when delivering mindfulness interventions. In order to assess usability and user experience,...
BACKGROUND
Digital formats have the potential to enhance accessibility to care for individuals with suicidal ideation. However, digital self-help interventions have faced limitations, including small effect sizes in reducing suicidal ideation, low adherence, and safety concerns.
OBJECTIVE
Therefore, we aimed to develop a remote blended cognitive b...
Objective:
The mechanisms of change in digital interventions for the prevention of depression are largely unknown. Here, we explored whether five theoretically derived intervening variables (i.e., pain intensity, pain-related disability, pain self-efficacy, quality of life [QoL], and work capacity) were mediating the effectiveness of a digital int...