Are Sahha's health scores clinically validated?
At Sahha, we understand the importance of trust and accuracy when it comes to health analytics and insights. The question “Are Sahha’s scores clinically validated?” is not just about our technological capabilities but about the reassurance that our tools are based on solid scientific foundations and ethical practices.
Research participants
Clinical assessments
Data collection period
Legal and Ethical Boundaries
❌ Clinical Diagnosis
Only licensed professionals are authorized to diagnose health conditions. This requires expertise and ethical responsibility.
✅ Indicative Insights
Sahha's scores offer valuable insights based on psychological and physiological constructs, recognizing that conditions exist on a spectrum.
It’s important to note that only licensed professionals are authorized to diagnose health conditions. Our AI tools are designed to offer indicative insights, not perform clinical diagnoses. This distinction ensures that health assessments are conducted with the highest standards of expertise and ethical responsibility.
At Sahha, our scores are designed to be indicative rather than diagnostic. These scores offer valuable insights based on psychological and physiological constructs. For mental health scores such as depression, stress, and anxiety, our approach recognizes that these conditions exist on a spectrum. Everyone experiences some level of these emotions, and it is the degree and the impact on daily life that differentiates clinical cases.
Evidence-Based Approach
Our Three-Pillar Validation Approach
📚 Research-Backed
Leverage results from well-established research papers and scientific literature
🔬 Extensive Dataset
Validate against our own dataset: 5,000+ participants, 50,000+ clinical assessments over 2 years
✓ Continuous Validation
If research results are replicable with our data, we incorporate them to enhance accuracy and reliability
We take an evidence-based approach to developing our models. This involves leveraging results from well-established research papers and validating them against our own extensive dataset. Our research data has been collected from over 5,000 participants over a span of 2 years, encompassing more than 50,000 clinical assessments. By validating established results with our own data, we ensure the robustness of our models. If these results are replicable, we incorporate them into our models, enhancing the accuracy and reliability of the analytics and insights we provide.
The Basis of Our Scores
Validated Assessment Instruments
DASS-21
Depression Anxiety Stress Scales-21
Widely recognized instrument for measuring varying levels of depression, anxiety, and stress conditions.
PHQ-9
Patient Health Questionnaire-9
Established clinical tool for assessing depression severity across the mental health spectrum.
For other health metrics like sleep, activity, and readiness, our scores are based on scientifically validated methods and continuous research. We ensure that our models reflect the latest advancements and understanding in health sciences.
Our indicative scores for mental health are derived from validated instruments such as the DASS-21 (Depression Anxiety Stress Scales-21) and the PHQ-9 (Patient Health Questionnaire-9). These tools are widely recognized for their ability to measure varying levels of these conditions. [1] [2]
For other health metrics like sleep, activity, and readiness, our scores are based on scientifically validated methods and continuous research. We ensure that our models reflect the latest advancements and understanding in health sciences.
Practical Implications
Our tools provide valuable indicative insights that can help users understand their health better. These insights are based on solid psychological and physiological research, as well as our own extensive validation efforts. While they are not a substitute for a clinical diagnosis, they offer a significant first step in recognizing and addressing health concerns.
Our Commitment: While Sahha's tools are not substitutes for clinical diagnosis, they provide valuable indicative insights and analytics based on robust research and extensive validation with our own data. We are committed to ethical standards and transparency, ensuring that our users receive reliable information that respects legal and professional boundaries.
Conclusion
Sahha’s health scores bridge the gap between everyday wellness tracking and clinical healthcare. By combining scientifically validated assessment instruments like DASS-21 and PHQ-9 with our extensive research dataset of over 5,000 participants and 50,000+ clinical assessments, we deliver indicative insights that empower users to better understand their health patterns. These scores serve as an important first step in recognizing potential health concerns and making informed decisions about when to seek professional medical guidance.
References
-
Crawford, J. R., & Henry, J. D. (2003). The Depression Anxiety Stress Scales (DASS): Normative data and latent structure in a large non-clinical sample. British Journal of Clinical Psychology, 42(2), 111-131. https://doi.org/10.1348/014466503321903544
-
Kroenke, K., Spitzer, R. L., & Williams, J. B. (2001). The PHQ-9: Validity of a brief depression severity measure. Journal of General Internal Medicine, 16(9), 606-613. https://doi.org/10.1046/j.1525-1497.2001.016009606.x