Transparency
How the Treatment Finder works.
The engine ranks relevance, not clinical suitability.
What data it uses
The finder can reuse locally stored Health MOT information such as BMI, waist-to-height ratio and reported weight-related health conditions. It then adds questionnaire answers about history, appetite, regain, previous treatment, preferences, willingness to wait and existing knowledge.
How route scores work
Each route starts from a transparent base score and gains or loses relevance points from explicit factors. For example, repeated regain, high appetite and high food noise raise medication relevance; higher BMI plus comorbidities raise NHS and surgery relevance; readiness for food and movement raises lifestyle relevance.
Why a score is not a probability
A displayed relevance of 82/100 does not mean an 82% chance that a treatment will work, be prescribed or be clinically appropriate. It only means that, within this site's decision framework, more of your answers point toward that route being worth investigating.
Adaptive logic
V2.21.1A reuses information already collected in the Health MOT rather than asking for BMI and comorbidities again. Future releases can make the questionnaire even more dynamically conditional, but this release already removes duplication and stores results as structured local data.
Education gaps
The finder asks how confident you are about medication, surgery, NHS and lifestyle routes. If you report low confidence, it recommends relevant reading before you make a decision.
Eating behaviour
Regular loss-of-control eating reduces the usefulness of a simple 'diet harder' interpretation and increases the importance of behavioural or eating-disorder-aware support. The finder does not diagnose binge-eating disorder.
Local data
Results are saved in browser localStorage as sstTreatmentFinder. No account or server sync is used in this release.