Jeroen Ruwaard

ORCID: 0000-0002-4510-997X
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About
Contact & Profiles
Research Areas
  • Digital Mental Health Interventions
  • Mental Health Research Topics
  • Mental Health Treatment and Access
  • Impact of Technology on Adolescents
  • Child and Adolescent Psychosocial and Emotional Development
  • Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
  • Mental Health via Writing
  • Health Policy Implementation Science
  • Treatment of Major Depression
  • Mental Health and Patient Involvement
  • Resilience and Mental Health
  • Migration, Health and Trauma
  • Eating Disorders and Behaviors
  • Evolutionary Algorithms and Applications
  • Sexuality, Behavior, and Technology
  • Autism Spectrum Disorder Research
  • Mobile Health and mHealth Applications
  • Personality Disorders and Psychopathology
  • COVID-19 and Mental Health
  • Suicide and Self-Harm Studies
  • Telemedicine and Telehealth Implementation
  • Technology Use by Older Adults
  • Functional Brain Connectivity Studies
  • Machine Learning in Healthcare
  • Bipolar Disorder and Treatment

GGZ inGeest
2018-2021

Vrije Universiteit Amsterdam
2014-2021

Amsterdam University Medical Centers
2019-2021

Public Health Service of Amsterdam
2018

University of Bern
2018

Amsterdam Public Health
2015-2017

Wikimedia Nederland
2015

University of Amsterdam
2010-2012

Ecological momentary assessment (EMA) is a useful method to tap the dynamics of psychological and behavioral phenomena in real-world contexts. However, response burden (self-report) EMA limits its clinical utility.The aim was explore mobile phone-based unobtrusive EMA, which phone usage logs are considered as proxy measures clinically relevant user states contexts.This an uncontrolled explorative pilot study. Our study consisted 6 weeks EMA/unobtrusive data collection Dutch student...

10.2196/jmir.5505 article EN cc-by Journal of Medical Internet Research 2016-03-29

Depression is common but undertreated. Web-based self-help provides a widely accessible treatment alternative for mild to moderate depression. However, the lack of therapist guidance may limit its efficacy. The authors assess efficacy therapist-guided web-based cognitive behavioural (web-CBT) Fifty-four individuals with chronic, depression participated in randomized wait-list controlled trial, an 18-month follow-up (immediate treatment: n = 36, control: 18). Primary outcome measures were...

10.1080/16506070802408086 article EN Cognitive Behaviour Therapy 2009-02-16

Context Randomized controlled trails have identified online cognitive behavioral therapy as an efficacious intervention in the management of common mental health disorders. Objective To assess effectiveness CBT for different disorders routine clinical practice. Design An uncontrolled before-after study, with measurements at baseline, posttest, 6-week follow-up, and 1-year follow-up. Participants & Setting 1500 adult patients (female: 67%; mean age: 40 years) a GP referral psychotherapy were...

10.1371/journal.pone.0040089 article EN cc-by PLoS ONE 2012-07-05

In recent years, armed conflicts in the Middle East have resulted high rates of exposure to traumatic events. Despite increasing demand mental health care provision, ongoing violence limits conventional approaches provision. Internet-based interventions for posttraumatic stress disorder (PTSD) proved feasible and effective Western countries, but their applicability efficacy war conflict regions remains unknown.This study investigated a cognitive behavioral intervention war-traumatized Arab...

10.2196/jmir.3582 article EN cc-by Journal of Medical Internet Research 2015-03-20

Effective, accessible, and affordable depression treatment is of high importance considering the large personal economic burden depression. Internet-based considered a promising clinical cost-effective alternative to current routine strategies such as face-to-face psychotherapy. However, it not clear whether research findings translate practice primary or specialized mental health care. The E-COMPARED project aims gain knowledge on cost-effectiveness blended compared treatment-as-usual in...

10.1186/s13063-016-1511-1 article EN cc-by Trials 2016-08-03

Blended care combines face-to-face treatment with web-based components in mental health settings. could potentially improve active patient participation, by letting patients work though part of the protocol autonomously. Further, blended might lower costs care, reducing duration and/or therapist contact. However, knowledge on for depression is still limited.To develop a cognitive behavioural (bCBT) depressed an outpatient specialized centre and to conduct preliminary evaluation this bCBT...

10.1016/j.invent.2016.01.003 article EN cc-by-nc-nd Internet Interventions 2016-01-27

Abstract Background The System Usability Scale (SUS) is used to measure usability of internet-based Cognitive Behavioural Therapy (iCBT). However, whether the SUS a valid instrument in this context unclear. aim study assess factor structure SUS, measuring iCBT for depression sample professionals. In addition, psychometric properties (reliability, convergent validity) were tested. Methods A 242 professionals using from 6 European countries completed SUS. Confirmatory Factor Analysis (CFA) was...

10.1186/s12888-020-02627-8 article EN cc-by BMC Psychiatry 2020-05-12

Depression is a prevalent disorder, associated with high disease burden and substantial societal, economic personal costs. Cognitive behavioural treatment has been shown to provide adequate for depression. By offering this in blended format, which online face-to-face are combined, it might be possible reduce the number of costly sessions required deliver protocol. This could improve cost-effectiveness treatment, while maintaining clinical effects. protocol describes design pilot study...

10.1186/s12888-014-0290-z article EN cc-by BMC Psychiatry 2014-10-17

Background Manualized cognitive–behavioural treatment (CBT) is underutilized in the of bulimic symptoms. Internet‐delivered may reduce current barriers. Objective This study aimed to assess efficacy a new online CBT Method Participants with symptoms ( n = 105) were randomly allocated CBT, bibliotherapy or waiting list/delayed condition. Data gathered at pre‐treatment, post‐treatment and 1‐year follow‐up. Outcome Measures The primary outcome measures Eating Disorder Examination Questionnaire...

10.1002/cpp.1767 article EN Clinical Psychology & Psychotherapy 2012-02-01

Background Cognitive behavioral therapy (CBT) is an effective treatment, but access often restricted due to costs and limited availability of trained therapists. Blending online face-to-face CBT for depression might improve cost-effectiveness treatment availability. Objective This pilot study aimed examine the effectiveness blended compared with standard depressed patients in specialized mental health care guide further research development CBT. Methods Patients were randomly allocated...

10.2196/14261 article EN cc-by Journal of Medical Internet Research 2019-10-29

It remains difficult to predict and prevent suicidal behaviour, despite growing understanding of the aetiology suicidality. Clinical guidelines recommend that health care professionals develop a safety plan in collaboration with their high-risk patients, lower imminent risk behaviour. Mobile applications provide new opportunities for planning, enable daily self-monitoring suicide-related symptoms may enhance planning. This paper presents rationale protocol Continuous Assessment Suicide...

10.1016/j.invent.2018.04.005 article EN cc-by-nc-nd Internet Interventions 2018-05-04

The aim of this study was to assess the effects a 7‐week standardized cognitive behavioural treatment work‐related stress conducted via e‐mail. A total 342 people applied for in reaction newspaper article. Initial screening reduced sample heterogeneous (sub)clinical group 239 participants. Participants were assigned randomly waiting list condition (n = 62), or immediate 177). follow‐up 3 years after inception treatment. outcome measures used Depression Anxiety Stress Scales (DASS‐42) and...

10.1080/16506070701381863 article EN Cognitive Behaviour Therapy 2007-10-22

Turkish migrants in the Netherlands have a high prevalence of depressive and/or anxiety disorders. Acculturation has been shown to be related higher levels psychological distress, although it is not clear whether this also holds for and disorders migrants. This study aims clarify relationship between acculturation strategies (integration, assimilation, separation marginalization) as well utilisation GP care among Existing data from an epidemiological conducted Dutch, Moroccan inhabitants...

10.1186/s12888-014-0252-5 article EN cc-by BMC Psychiatry 2014-09-04

Background: Successfully implementing eMental health (eMH) interventions in routine mental care constitutes a major challenge. Reliable instruments to assess implementation progress are essential. The Normalization MeAsure Development (NoMAD) study developed brief self-report questionnaire that could be helpful measuring progress. Based on the Process Theory, this instrument focuses 4 generative mechanisms involved processes: coherence, cognitive participation, collective action, and...

10.2196/12376 article EN cc-by Journal of Medical Internet Research 2019-01-20

Initial internet-based cognitive behavioral therapy (iCBT) programs for anxiety disorders in children and young people (CYP) have been developed evaluated, however these not yet widely adopted routine practice. The lack of guidance formalized approaches to the development dissemination iCBT has arguably contributed difficulty developing that is scalable sustainable beyond academic evaluation can ultimately be by healthcare providers. This paper presents a consensus statement recommendations...

10.1016/j.invent.2018.02.002 article EN cc-by-nc-nd Internet Interventions 2018-02-19

Sentiment analysis may be a useful technique to derive user's emotional state from free text input, allowing for more empathic automated feedback in online cognitive behavioral therapy (iCBT) interventions psychological disorders such as depression. As guided iCBT is considered effective than unguided iCBT, help close the gap between two. The accuracy of sentiment domain dependent, and it unclear how well technology applicable iCBT. This paper presents an empirical study which by algorithm...

10.3389/fpsyg.2019.01065 article EN cc-by Frontiers in Psychology 2019-05-14

Abstract Background Internet-based Cognitive Behavioural Therapy (iCBT) is found effective in treating common mental disorders. However, the use of these interventions routine care limited. The international ImpleMentAll study funded by European Union’s Horizon 2020 programme. It concerned with studying and improving methods for implementing evidence-based iCBT services disorders health care. A digitally accessible implementation toolkit ( ItFits-toolkit ) will be introduced to organizations...

10.1186/s13063-020-04686-4 article EN cc-by Trials 2020-10-28

Ecological momentary assessment (EMA) of mental health symptoms may influence the that it measures, i.e. reactivity. In field depression, EMA reactivity has received little attention. We aim to investigate whether depressive induces Reactivity will be operationalised as an effect on measured by a retrospective questionnaire, and, secondly, change in response rate and variance ratings. This study is 12-week randomised controlled trial comprising three groups: group 1 carries out mood...

10.1186/s12888-016-1065-5 article EN cc-by BMC Psychiatry 2016-10-21

Blended treatments, combining digital components with face-to-face (FTF) therapy, are starting to find their way into mental health care. Knowledge on how blended treatments should be set up is, however, still limited. To further explore and optimize treatment protocols, it is important obtain a full picture of what actually happens during when applied in routine care.The aims this study were gain insight the usage different cognitive behavioral therapy (bCBT) for depression reflect actual...

10.2196/12707 article EN cc-by JMIR Mental Health 2019-07-25

Technology driven interventions provide us with an increasing amount of fine-grained data about the patient. This includes regular ecological momentary assessments (EMA) but also response times to EMA questions by a user. When observing this data, we see huge variation between patterns exhibited different patients. Some are more stable while others vary lot over time. poses challenging problem for domain artificial intelligence and makes on wondering whether it is possible predict future...

10.1016/j.invent.2017.10.001 article EN cc-by-nc-nd Internet Interventions 2017-10-12
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