Alhia shows aggregated, population-level data about what people report on medications — calibrated against clinical trials.
Nothing here is medical advice, a diagnosis, or a recommendation for you. Treatment decisions belong with you and your clinician.
Two sources of truth about every treatment, side by side: the clinical evidence, translated out of journal-speak — and what people report from real-world use. We show you both, and the gap between them.
Decades of clinical research, graded for strength and rewritten in plain language — the part almost nobody reads.
First-hand experience, side by side with the trials — the timelines, side effects, and drop-off that trials often miss.
Contributing unlocks full demographic detail and every discontinuation driver, permanently. Consent is layered and never bundled — each choice below is separate.
How every number on Alhia is produced — and what it does and doesn't mean.
Community figures come from structured reports people submit through Alhia's contribution form. Until enough real reports accumulate, many figures on the site are illustrative placeholders modeled on published research patterns, and each panel says which is which (see the data-provenance view). Evidence and trial information comes from public sources: PubMed, ClinicalTrials.gov, openFDA, DailyMed, RxNorm/RxClass, NIH RePORTER, and the CDC.
Reports are structured fields (age band, sex, whether it worked, whether the person still takes it, side effects, and an optional note), not machine-read free text. Community statistics are computed from them directly. Reports flagged as duplicates or spam are excluded from the numbers.
Segments built from very few reports (fewer than 5) are flagged as low-sample rather than hidden, so a handful of reports is never presented with false precision.
Community-reported rates are not incidence rates. People who post are systematically unrepresentative: problems are over-reported relative to silent success. That is exactly why every panel shows the trial benchmark beside the community rate. The gap measures the distance between controlled-trial conditions and lived, self-selected reporting — it is signal about experience and perception, not a correction of one number by the other.
Combined age × sex views are modelled from marginal segments under an independence assumption and labelled as such; their confidence badges reflect the smaller estimated n.
Our principles, in plain English.
1. Alhia shows population-level information, not medical advice. Individual reports are never published as profiles.
2. You can read everything without an account, and contributing is always optional.
3. Any use of your contributed data beyond Alhia's own published statistics is opt-in, separate from creating an account, and you can withdraw your consent at any time.
4. We publish our methodology and known limitations, and we label what is real and what is illustrative.
A random sample of the records behind this panel. Every statistic traces to records like these through the versioned pipeline.
The short version. The full documents are linked at the bottom and control if anything differs.
Your email (account only) and the structured reports you choose to submit: age band, sex, whether a treatment worked, side effects, and an optional note. For reports submitted without an account we keep a one-way hash of your IP address, only to catch duplicates. We don't ask for prescription images or medical records.
Reports are grouped into statistics shown to all visitors. We don't publish your email or show individual reports as profiles. "Anonymized" means we don't store your name, not that re-identification is impossible, so please keep identifying details out of free text. If you tick the optional "help research along" box we record that consent; we have not provided data to any outside party, and we'd update the policy and ask again before doing so.
We don't use tracking cookies or third-party analytics, we don't publish your email, and we don't show individual reports as profiles.
Alhia is not medical advice. Don't start, stop, or change a medication based on this site.
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