Products
Health Scores
Health Scores provide a comprehensive, evidence-based measure of various aspects of an individual's well-being. The scores capture physical, mental, and behavioral health, aiding in monitoring, understanding, and improving outcomes by translating complex health data into easy-to-understand numbers. Whether you're tracking sleep quality, activity levels, or mental wellness, our health scores support informed decision-making and enhanced well-being.
Available Scores
| Score | Status | Description |
|---|---|---|
| Wellbeing | PRODUCTION | A holistic measure of overall well-being, combining physical, mental, and behavioral health data to provide a comprehensive view of an individual's health status |
| Activity | PRODUCTION | Evaluates daily physical activity levels, considering both intensity and duration, to help users maintain a balanced, active lifestyle |
| Sleep | PRODUCTION | Assesses sleep quality by analyzing duration, regularity, and stages, offering insights into nightly rest and overall sleep health |
| Mental Wellbeing | PRODUCTION | Measures mental wellness and stability by analyzing behavioral patterns of sleep and activity, supporting mental health management |
| Readiness | BETA | Gauges daily readiness and recovery by analyzing sleep, activity, and physiological metrics, helping users optimize performance and health |
Scores in Research
| Score | Status | Description |
|---|---|---|
| Depression | RESEARCH | Planned for an updated release. In the meantime, consider using mental wellbeing score. Measures similarity of user's behaviour with depression-like behaviour |
| Stress | RESEARCH | Planned for an updated release. In the meantime, consider using mental wellbeing score. Determines chronic stress levels by evaluating lifestyle and physiological metrics |
| Anxiety | RESEARCH | Planned for an updated release. In the meantime, consider using mental wellbeing score. Measures similarity of user's behaviour with anxiety-like behaviour |
| Digital | RESEARCH | Focuses on digital behavior patterns, such as screen time and app usage, to help understand the effects of digital habits on health and well-being |
Key Features
Device Flexibility
Works seamlessly with both smartphone-only and wearable users, ensuring accessibility and inclusivity of different user types
Explainable
Each score includes contributing factors, providing understanding of behavior, markers and lifestyle choices that impact health
Actionable
Empowers users to enhance their health by targeting factors that need improvement
Daily/Intraday
Scores are calculated daily, with intraday updates available (every 4 hours), to help users track changes throughout the day
Comprehensive
Covers multiple health dimensions, including sleep, activity, and mental wellness, for a holistic overview
Research-backed
Scores are grounded in leading scientific research and validated in internal studies for accuracy and reliability
How It Works
Calculating Health Scores
Health Scores are derived from complex models that analyze various user data points. The resulting numerical score gives a snapshot of an individual's health in specific areas like Activity, Sleep, and Mental Wellbeing.
Explainability Factors
Explainability factors are key elements within the data that significantly impact the Health Score. They help to demystify the score by highlighting which specific behaviors or conditions are contributing positively or negatively. This level of transparency allows users to understand the rationale behind their score, fostering a deeper engagement with their health data.
How Explainability Factors Aid Users:
- Transparency : Users can see what specific data points are influencing their Health Score.
- Actionable : By knowing which factors affect their score, users can take targeted actions to improve their health.
- Trust : Understanding the 'why' behind their scores helps users trust the system, knowing it's not just a black box.
Output Schema
An overview of the structure and format of the data output from Sahha's Health Scores.
| Key | Type | Description |
|---|---|---|
id | UUID | Unique identifier for each score entry. |
profileId | UUID | Unique identifier for the associated profile. |
accountId | UUID | Unique identifier for the account linked to the profile. |
externalId | UUID | External identifier associated with the profile. |
type | String | Type of score being calculated, such as activity, sleep, or readiness. |
score | Float (0.0 - 1.0) | Calculated score, where 1.0 represents the optimal state. |
state | Enum ( minimal, low, medium, high) | Severity level based on the score value. |
factors | List of Objects | Breakdown of factors contributing to the overall score. |
scoreDateTime | ISO 8601 DateTime | Date for which the score was calculated, in the local timezone. |
dataSources | List of Strings | List of data sources used for score calculation (e.g., age, gender, activity). |
createdAtUtc | ISO 8601 DateTime | UTC timestamp indicating when the score entry was created. |
version | Float | Version number of the scoring algorithm used. |
Example:
{ "id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890", "profileId": "p1q2r3s4-t5u6-7890-vwxy-z1234567890", "accountId": "x1y2z3a4-b5c6-7890-dfgh-i1234567890", "externalId": "e1f2g3h4", "type": "sleep", "score": 0.85, "state": "high", "factors": [ { "name": "sleep_duration", "value": 7.5, "goal": 8.0, "unit": "hour", "score": 0.94, "state": "high" }, ... ], "scoreDateTime": "2024-09-03T00:00:00+05:00", "dataSources": ["age", "sleep"], "createdAtUtc": "2024-09-03T05:30:00Z", "version": 1.1}Factor Schema
The structure of the factor objects that make up the factors array within the score schema.
| Key | Type | Description |
|---|---|---|
name | String | The type of factor (e.g., activity_duration, sleep_regularity). |
value | Float | The actual value associated with the factor. |
goal | Float | The target or goal value for the factor. |
unit | String | The unit of measurement for the factor value (e.g., hour, count). |
score | Float (0.0 - 1.0) | The calculated score for the factor, where 1.0 represents optimal. |
state | Enum ( minimal, low, medium, high) | The severity or state of the factor based on its value. |
Example:
{ "name": "sleep_duration", "value": 7.5, "goal": 8.0, "unit": "hour", "score": 0.94, "state": "high"}FAQ
Q: How often are Health Scores generated?
A: Health Scores are generated daily to provide you the latest state of health and well-being.
Q: Can users influence their Health Scores?
A: Yes, by changing lifestyle behaviors, users can directly impact their scores.
Q: What are explainability factors?
A: Explainability factors are specific data points that clarify why your Health Score is what it is, guiding you on how to improve it.
Getting Started
Dive into each score's specifics by visiting their dedicated pages. These pages provide in-depth information on how each score is calculated, what factors contribute to it, and how it can be used to foster better health outcomes.
Support
For assistance or queries about Health Scores, please reach out in the slack community or contact support@sahha.ai .