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A free, evidence-informed assessment across 10 areas of preconception health — reviewed by licensed physicians, designed to empower you and your provider to optimise maternal and neonatal health before conception begins.
🌐 Available in Hindi, Tamil, Telugu, French, Spanish & more — tap the language button
Tap any area above to learn what it covers · Scroll down to begin
🔒 Your answers stay on your device only — nothing is transmitted.
This platform is designed for adults 18+. If you are under 18, please use it with a trusted adult or healthcare provider.
These help us personalise your assessment experience. Your answers stay on your device — they are never transmitted.
What best describes your current situation?
Have you ever been diagnosed with, or do you currently have, an eating disorder?
Your answer ensures we show you content that is safe and supportive for you. "Prefer not to answer" is always available.
Which country are you completing this assessment from?
Your postal or zip code (optional — for regional health mapping)
First 3 characters only e.g. V6B for Vancouver. Used to map health patterns by neighbourhood. Never linked to your name.
Assessment complete across all 10 domains. Here's what your responses show — and your personalised next steps, ready to discuss with your provider.
Three reports generated from your assessment — download each for your own records or to share with your healthcare provider. All processing happens in your browser; nothing is uploaded.
Research goal: 2,000 participants · Will publish findings when reached
Your anonymous contribution helps researchers understand preconception health trends. Anonymous data is retained for up to 10 years for research continuity. Your contribution includes: overall score, age range, region, device type, and anonymised health indicators (which domains were flagged, mental health screening band, approximate completion time). No personal information, no responses, no identity is ever collected. Data is used only in aggregate.
No name, email, IP address or device ID is ever collected. Your score cannot be traced back to you. Used only for population health research.
Generation Health is built on peer-reviewed evidence and international clinical guidelines. Below are the key references underpinning each domain of your assessment.
Help a friend or partner take their preconception health seriously too.
Your individual answers are never shared — only your overall score and summary.
Sperm quality is affected by diet, alcohol, heat, stress, and nutritional status — and it takes ~74 days to produce new sperm. Share our free Father Ready assessment with your partner.
🌱 Father Ready Assessment →Free · Evidence-informed · 7 domains of male preconception health
AI generates a specific action plan based on your actual results — Month 1, 2, and 3 priorities tailored to you.
Recommended every 6 months to track your progress
Download your PDF reports and bring them to a dedicated preconception appointment. Your family physician can use your results to create a personalised plan.
📅 Reminder: Retake this assessment in 6 months to track your progress — scores improve with focused action.
Looking for a different clinic? Any family physician, nurse practitioner, or OB/GYN can conduct a preconception visit. Your Provider PDF report (PDF 2 above) gives them everything they need.
Privacy Policy · Terms of Use · Contact
This platform is educational only. It does not diagnose conditions, prescribe treatment, or replace professional medical advice. Generation Health is designed in accordance with CPSBC/CMPA educational platform standards, PIPEDA (Canada), and DPDPA 2023 (India). © 2026 Generation Health Inc.
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Generation Health is built on Grade A and B evidence from international clinical guidelines. Every recommendation links to a peer-reviewed source or authoritative guideline body.
Each domain contains 5–10 questions. Each question response is assigned a point value (0–3) reflecting evidence strength and clinical impact, developed by licensed physicians and reviewed against ACOG, SOGC, FOGSI, and WHO guidelines. Higher point values indicate responses associated with greater preconception health risk.
Domain scores are calculated as: (1 − raw points / maximum possible points) × 100, producing a score from 0–100 where higher scores represent better preconception health. This inversion ensures that a score of 100 means all responses were optimal and a score of 0 means all responses indicated maximum clinical concern.
Band thresholds were set by clinical expert consensus and are designed to guide educational conversation — they are not validated clinical cut-offs derived from population normative data or outcome studies. A validation study against clinical outcomes and validated preconception health instruments is planned as a future research priority.
PHQ-9 (Patient Health Questionnaire-9): Validated depression screening tool (Kroenke & Spitzer, 2001). Scores 0–27. Thresholds: 0–4 minimal, 5–9 mild, 10–14 moderate, 15–27 severe. GAD-7 (Generalised Anxiety Disorder-7): Validated anxiety screening tool (Spitzer et al., 2006). Scores 0–21. Thresholds: 0–4 minimal, 5–9 mild, 10–14 moderate, 15–21 severe. Both are used here as educational screening aids — not diagnostic instruments.
This platform is designed for individuals planning pregnancy in Canada and India, with relevance to international users. It is designed for adults aged 18+. The clinical content has been developed primarily for individuals capable of pregnancy who are planning conception. Questions use inclusive language ("partner") and the platform is designed to be relevant to people in diverse relationship structures. Not all guidance will apply equally to all users — discussions with individual providers who know your specific situation are always recommended.
Why this data matters: Preconception health is the strongest modifiable predictor of neonatal outcomes and long-term maternal comorbidities. Low folate, untreated thyroid disease, uncontrolled diabetes, untreated mental health conditions, STIs, and environmental exposures before conception are directly linked to preterm birth, low birth weight, congenital anomalies, and long-term maternal conditions including postpartum depression, metabolic syndrome, and cardiovascular disease. Population-level preconception data — which does not currently exist at scale — would allow health authorities to allocate resources, design interventions, and track the impact of preconception care programmes. Generation Health's anonymous dataset is designed to become that resource.
With explicit opt-in consent, anonymised aggregate data (no personal identifiers) is collected for population health research. The platform aims to reach a dataset of 2,000 consenting participants before publishing population health findings. A UBC Research Ethics Board (REB) determination has been submitted to confirm that anonymous aggregate data collection under these conditions qualifies as non-research (quality improvement) or to guide a formal research protocol.
This platform is educational only. It does not diagnose conditions, prescribe treatment, or replace professional medical advice.
Generation Health is designed in accordance with CPSBC Ethical Principles for AI in Medicine (October 2024, v1.1) and CMPA 2024 medico-legal guidance on AI.
PIPEDA (Canada) · DPDPA 2023 / DPDP Rules 2025 (India) · GDPR-equivalent standards globally.
Regulatory documents: Privacy Policy · Terms of Use · Privacy Impact Assessment · Evidence Methodology · Accessibility · PIPEDA (Canada) · DPDPA 2023 / DPDP Rules 2025 (India). © 2026 Generation Health Inc.