Patient-reported outcomes, measured the standard way.
in the current selection (0–100 SF-36)
How to read this dashboard — plain-language guide to the numbers
This dashboard tracks how Thrivers' health changes from their first survey (baseline) to a later one (follow-up), using the SF-36 — a validated, widely used 36-question health survey. Because it's a standard instrument, these results can be compared against published research rather than being a number we invented.
The 0–100 scale
Every score runs from 0 to 100, where higher is always better. It isn't a percentage or a grade — it's a standardized health index. Each person's score in a domain is the average of the questions they answered, so an occasional skipped question doesn't disqualify them.
The eight health domains
Reading the before → after change
"Change" is measured within each person — their follow-up score minus their own baseline — and then averaged across the group. A positive number means improvement. As a rough guide on this 0–100 scale, a few points is minor, around 5+ is noticeable, and 10+ is substantial — but the effect-size column is the more rigorous way to judge how big a change really is.
Effect size (Cohen's d)
Effect size expresses the change relative to how much people differ from one another, so it's comparable across domains. The common rule of thumb: about 0.2 is small, 0.5 is medium, and 0.8 or above is large. A "large" effect means the typical person moved a lot relative to the spread of the whole group.
The 95% confidence interval
Because this is a sample rather than every client who will ever enroll, the true average change is an estimate with a margin of error. The 95% confidence interval is the range we can be 95% confident contains the real value. The practical test: if the entire range sits above 0, the improvement is statistically reliable rather than chance. A wider range usually just means fewer people in that selection.
The filters
Program separates Academy (monthly) from Platinum (6- or 12-month). Time between is the gap between a person's two surveys. Baseline groups people by how impaired they were at the start — High need, Moderate, or Milder, split into thirds. Narrowing any filter shrinks the sample, so the "n" and the confidence ranges will change accordingly.
Follow-up completion
This panel shows what share of clients return for the second survey. "All clients" includes people who started recently and aren't due yet; "Reached follow-up point" counts only those whose first survey was 12+ months ago — the fairer measure of who actually completed versus who simply isn't due yet.
What this does — and doesn't — prove
Domain means, baseline → follow-up
grey = Survey 1 · green = Survey 2Domain detail
distribution of within-person changeAll domains
current selection · paired t-statistics| Domain | n | Baseline | Follow-up | Change | 95% CI | Effect size | % improved |
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