Heleen Riper
Biographic Data
| ID | 1661111 |
|---|---|
| NAME | Heleen Riper |
| GIVEN NAMES | Heleen |
| FAMILY NAME | Riper |
| SIGNATURE | RIPER H |
| AFFILIATIONS | Vrije Universiteit Amsterdam |
| ORCID | 0000-0002-8144-8901 |
| VERIFIED | Yes |
| TOTAL WORKS | 23 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 23 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2008 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Effectiveness of psychotherapy
The scientific output generated in psychology has surged in recent decades, including the number of studies investigating psychological treatments. To keep track of all this evidence, we developed the "Metapsy" meta-analytic research domain: a comprehensive system of open databases and tailored software that allows for rapid evidence generation. We leverage this novel infrastructure to summarize the effect of psychological treatment across 12 men…
Machine-learning detection of stress severity expressed on a continuous scale using acoustic, verbal, visual, and physiological data
The complexity of input features needed for machine-learning detection of stress severity based on multimodal data requires large sample sizes with wide variability of stress reactions and inputs among participants. These are difficult to recruit for laboratory setting, due to high time and effort demands on the side of both researcher and participant. Resources needed may be decreased using automatization of experimental procedures, which may, h…
Does outcome expectancy predict outcomes in online depression prevention? Secondary analysis of randomised‐controlled trials
BACKGROUND: Evidence shows that online interventions could prevent depression. However, to improve the effectiveness of preventive online interventions in individuals with subthreshold depression, it is worthwhile to study factors influencing intervention outcomes. Outcome expectancy has been shown to predict treatment outcomes in psychotherapy for depression. However, little is known about whether this also applies to depression prevention. The …
Motivation-based approach for tailoring persuasive mental health applications
The growing number of people with mental health issues and the worldwide shortage of professionals emphasise the need for tailored persuasive interventions. This paper explores the relationships between the types of motivation individuals experience and their preferences for various features that are widely used in persuasive apps for mental and emotional well-being. First, we reviewed 103 mental health apps from app stores and identified various…
Internet-based interventions for behavioral addictions
The feasibility of using smartphone apps as treatment components for depressed suicidal outpatients
Mental health smartphone apps could increase the safety and self-management of patients at risk of suicide, but it is still unclear whether it is feasible to integrate such apps into routine mental healthcare. This study reports on the feasibility of using a safety planning app (BackUp) and a self-monitoring app (mEMA) as components of the routine treatment of depressed outpatients with suicidal ideation. Clinicians were trained in working with b…
A Data-Driven Clustering Method for Discovering Profiles in the Dynamics of Major Depressive Disorder Using a Smartphone-Based Ecological Momentary Assessment of Mood
The real-time monitoring conducted in the present study provides some preliminary indications of different patterns of both average mood and mood variability among MDD patients in treatment in mental health settings. Such varying patterns were not found for emotional inertia
Internet-Based Cognitive Behavioral Therapy for Depression
Importance Personalized treatment choices would increase the effectiveness of internet-based cognitive behavioral therapy (iCBT) for depression to the extent that patients differ in interventions that better suit them. Objective To provide personalized estimates of short-term and long-term relative efficacy of guided and unguided iCBT for depression using patient-level information. Data Sources We searched PubMed, Embase, PsycInfo, and Cochrane L…
Differential Effects of Psychological Interventions in Online and Face-to-Face Settings on DSM-5 and ICD-11 Maladaptive Trait Domains
While mental health treatments have proven to be effective for a range of mental health problems, there is comparably little research on its effects on personality disorders or difficulty (PD). New dimensional conceptualizations of PD such as the ICD-11 PD model enable the cost- and time-effective dimensional assessment of severity and style of PD. Furthermore, they constitute a promising tool to investigate PD, not only as a treatment endpoint b…
Pragmatic Quasi-Experimental Controlled Trial Evaluating the Outcomes of Blended CBT Compared to Face-to-Face CBT and Treatment as Usual for Adolescents with Depressive Disorders
Depression is a major problem in youth mental health. Current treatment is on average effective, but adolescents are hesitant to seek help. Blended treatment could lower the barriers to seeking treatment. Evidence on effectiveness is, however, scarce. The present pragmatic quasi-experimental controlled trial aimed to compare the outcomes of blended cognitive behavioral therapy (CBT) to face-to-face CBT and treatment as usual. A total of 129 adole…
The Covid-19 pandemic
Working Alliance Inventory for Online Interventions-Short Form (WAI-Tech-SF)
WAI-TECH-SF is a reliable questionnaire to assess the TA between the patient and the online program, which is associated with positive therapeutic outcomes and satisfaction with the treatment
Testing the efficacy of a minimal-guidance online self-help intervention for alcohol misuse in Estonia
Current Controlled Trials ISRCTN48753339 registered 04/06/2019 retrospectively
Sociodemographic characteristics associated with alcohol consumption and alcohol-related consequences, a latent class analysis of The Norwegian Wirus screening study
Our findings highlight the interconnectedness of alcohol consumption and alcohol-related consequences. Furthermore, the identified classes and SES yields further insights into to intricate relationship between various socioeconomic factors, alcohol use patterns and related negative consequences
Internet-based vs. face-to-face cognitive behavior therapy for psychiatric and somatic disorders
Understanding and Promoting Effective Engagement With Digital Behavior Change Interventions
Evaluating the (cost-)effectiveness of guided and unguided Internet-based self-help for problematic alcohol use in employees - a three arm randomized controlled trial
German Register of Clinical Studies (DRKS): DRKS00006105 , date of registration: 2014-07-07
Guided Internet-based vs. face-to-face cognitive behavior therapy for psychiatric and somatic disorders
Efficacy and cost-effectiveness of minimal guided and unguided internet-based mobile supported stress-management in employees with occupational stress
German Clinical Trial Registration (DRKS): DRKS00005687
Positive psychology interventions
Efficacy and cost-effectiveness of a web-based and mobile stress-management intervention for employees
German Register of Clinical Studies (DRKS): DRKS00004749
Effectiveness of a web-based self-help smoking cessation intervention
ISRCTN74423766
Clinical and cost-effectiveness of computerised cognitive behavioural therapy for depression in primary care
The study has been registered at the Netherlands Trial Register, part of the Dutch Cochrane Centre (ISRCTN47481236)
No prominent works on this page.
Clinical and cost-effectiveness of computerised cognitive behavioural therapy for depression in primary care
The study has been registered at the Netherlands Trial Register, part of the Dutch Cochrane Centre (ISRCTN47481236)
Effectiveness of a web-based self-help smoking cessation intervention
ISRCTN74423766
Positive psychology interventions
Efficacy and cost-effectiveness of a web-based and mobile stress-management intervention for employees
German Register of Clinical Studies (DRKS): DRKS00004749
Guided Internet-based vs. face-to-face cognitive behavior therapy for psychiatric and somatic disorders
Efficacy and cost-effectiveness of minimal guided and unguided internet-based mobile supported stress-management in employees with occupational stress
German Clinical Trial Registration (DRKS): DRKS00005687
Evaluating the (cost-)effectiveness of guided and unguided Internet-based self-help for problematic alcohol use in employees - a three arm randomized controlled trial
German Register of Clinical Studies (DRKS): DRKS00006105 , date of registration: 2014-07-07
Understanding and Promoting Effective Engagement With Digital Behavior Change Interventions
Internet-based vs. face-to-face cognitive behavior therapy for psychiatric and somatic disorders
Sociodemographic characteristics associated with alcohol consumption and alcohol-related consequences, a latent class analysis of The Norwegian Wirus screening study
Our findings highlight the interconnectedness of alcohol consumption and alcohol-related consequences. Furthermore, the identified classes and SES yields further insights into to intricate relationship between various socioeconomic factors, alcohol use patterns and related negative consequences
The Covid-19 pandemic
Working Alliance Inventory for Online Interventions-Short Form (WAI-Tech-SF)
WAI-TECH-SF is a reliable questionnaire to assess the TA between the patient and the online program, which is associated with positive therapeutic outcomes and satisfaction with the treatment
Testing the efficacy of a minimal-guidance online self-help intervention for alcohol misuse in Estonia
Current Controlled Trials ISRCTN48753339 registered 04/06/2019 retrospectively
Internet-Based Cognitive Behavioral Therapy for Depression
Importance Personalized treatment choices would increase the effectiveness of internet-based cognitive behavioral therapy (iCBT) for depression to the extent that patients differ in interventions that better suit them. Objective To provide personalized estimates of short-term and long-term relative efficacy of guided and unguided iCBT for depression using patient-level information. Data Sources We searched PubMed, Embase, PsycInfo, and Cochrane L…
Differential Effects of Psychological Interventions in Online and Face-to-Face Settings on DSM-5 and ICD-11 Maladaptive Trait Domains
While mental health treatments have proven to be effective for a range of mental health problems, there is comparably little research on its effects on personality disorders or difficulty (PD). New dimensional conceptualizations of PD such as the ICD-11 PD model enable the cost- and time-effective dimensional assessment of severity and style of PD. Furthermore, they constitute a promising tool to investigate PD, not only as a treatment endpoint b…
Pragmatic Quasi-Experimental Controlled Trial Evaluating the Outcomes of Blended CBT Compared to Face-to-Face CBT and Treatment as Usual for Adolescents with Depressive Disorders
Depression is a major problem in youth mental health. Current treatment is on average effective, but adolescents are hesitant to seek help. Blended treatment could lower the barriers to seeking treatment. Evidence on effectiveness is, however, scarce. The present pragmatic quasi-experimental controlled trial aimed to compare the outcomes of blended cognitive behavioral therapy (CBT) to face-to-face CBT and treatment as usual. A total of 129 adole…
Internet-based interventions for behavioral addictions
The feasibility of using smartphone apps as treatment components for depressed suicidal outpatients
Mental health smartphone apps could increase the safety and self-management of patients at risk of suicide, but it is still unclear whether it is feasible to integrate such apps into routine mental healthcare. This study reports on the feasibility of using a safety planning app (BackUp) and a self-monitoring app (mEMA) as components of the routine treatment of depressed outpatients with suicidal ideation. Clinicians were trained in working with b…
A Data-Driven Clustering Method for Discovering Profiles in the Dynamics of Major Depressive Disorder Using a Smartphone-Based Ecological Momentary Assessment of Mood
The real-time monitoring conducted in the present study provides some preliminary indications of different patterns of both average mood and mood variability among MDD patients in treatment in mental health settings. Such varying patterns were not found for emotional inertia
Motivation-based approach for tailoring persuasive mental health applications
The growing number of people with mental health issues and the worldwide shortage of professionals emphasise the need for tailored persuasive interventions. This paper explores the relationships between the types of motivation individuals experience and their preferences for various features that are widely used in persuasive apps for mental and emotional well-being. First, we reviewed 103 mental health apps from app stores and identified various…
Does outcome expectancy predict outcomes in online depression prevention? Secondary analysis of randomised‐controlled trials
BACKGROUND: Evidence shows that online interventions could prevent depression. However, to improve the effectiveness of preventive online interventions in individuals with subthreshold depression, it is worthwhile to study factors influencing intervention outcomes. Outcome expectancy has been shown to predict treatment outcomes in psychotherapy for depression. However, little is known about whether this also applies to depression prevention. The …
Effectiveness of psychotherapy
The scientific output generated in psychology has surged in recent decades, including the number of studies investigating psychological treatments. To keep track of all this evidence, we developed the "Metapsy" meta-analytic research domain: a comprehensive system of open databases and tailored software that allows for rapid evidence generation. We leverage this novel infrastructure to summarize the effect of psychological treatment across 12 men…
Machine-learning detection of stress severity expressed on a continuous scale using acoustic, verbal, visual, and physiological data
The complexity of input features needed for machine-learning detection of stress severity based on multimodal data requires large sample sizes with wide variability of stress reactions and inputs among participants. These are difficult to recruit for laboratory setting, due to high time and effort demands on the side of both researcher and participant. Resources needed may be decreased using automatization of experimental procedures, which may, h…
Medicine (13 works) · Digital Mental Health Interventions (12 works) · Psychiatry (12 works) · Clinical Psychology (10 works) · Psychological intervention (9 works) · Psychology (9 works) · Clinical Psychology (8 works) · Randomized controlled trial (8 works) · Mental Health Treatment and Access (6 works) · Mental health (5 works)