Related Experiment Video
Updated: Aug 28, 2025

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
Clinician's Guide to Evaluating and Developing eHealth Interventions for Mental Health
Steven J Ondersma1, Scott T Walters2
1Merrill Palmer Skillman Institute Department of Psychiatry and Behavioral Neurosciences Wayne State University Detroit.
Mental health professionals can recommend technology-delivered interventions (eHealth) with guidance on app evaluation. Rigorous skepticism is needed due to unvalidated development models for these digital mental health tools.
Area of Science:
- Digital Health
- Mental Health Technology
- eHealth Interventions
Background:
- Technology-delivered interventions, or eHealth, are increasingly used for mental health and substance use disorders.
- Psychiatrists and mental health professionals need support in recommending and developing these digital tools.
Purpose of the Study:
- To review key information on technology-delivered interventions for mental health and substance use disorders.
- To support clinicians in evaluating and developing eHealth applications.
Main Methods:
- A review of existing literature on the appraisal, development, and evaluation of eHealth interventions.
- Analysis of current models for eHealth intervention development and efficacy evaluation.
Main Results:
- High-level guidance exists for clinicians evaluating eHealth applications.
- Existing eHealth development models lack empirical validation, with limited focus on empirical optimization.
- Evaluation of eHealth efficacy requires understanding both traditional and unique elements.
Conclusions:
- Mental health professionals must approach eHealth with the same rigor as pharmacotherapy and traditional behavioral interventions.
- Familiarity with development and evaluation processes is crucial for effective use of eHealth interventions.
- Skepticism and robust content knowledge are essential when recommending or developing digital mental health tools.
Related Concept Videos
Community Based Intervention
Foundations of Community Mental Health Programs
Central to the success of community-based interventions is the...
Stress Prevention and Stress Management Techniques VI
Motivation and Self-Determination
Motivation, the driving force behind behavior, plays a pivotal role at every stage of the change process. The research...
Nursing Evaluation
Models of Health Promotion and Illness Prevention II
The agent-host-environment model states that disease results...
Current Trends in Nursing II
Levels of Health Promotion and Illness Prevention
In primary prevention, actions taken before disease onset prevent the disease from...

