Raw mean vs shrunk Vårdbetyg
A common raw ranking sorts health centres straight by their average in the National Patient Survey 2025. The problem: a unit where only a handful of patients responded can end up on top by pure chance. Here we show the same health centres ranked two ways, side by side, so you can see what happens once the basis and accessibility are weighed in.
Two rankings of the same units
- Raw mean– the survey’s equally weighted average straight up, ignoring how many responded.
- Vårdbetyg score – the same average pulled toward the national average by how many responded (Bayesian shrinkage), and combined with objective accessibility (waiting times).
The gap between a unit’s two positions comes from two things: (1) shrinkage toward the number of responses – few responses pull toward the national average – and (2) the accessibility weight – low accessibility pulls the final score down. This is method communication: the cards below say nothing about a single health centre being good or bad, only that a raw mean ranks them wrong.
The units that move the most
Top 25 on the raw mean – and where they land
The table lists the 25 health centres that rank highest on the raw mean, with their Vårdbetyg position alongside. The Responses column explains only a small part of the move. The heaviest factor is accessibility (waiting times), which is part of the Vårdbetyg but not of the raw mean.
↓ = the unit ranks lower on the Vårdbetyg score than on the raw mean (shrinkage or low accessibility pulled it down). ↑ = the opposite. At 30responses a unit’s own result and the national average carry exactly equal weight.
In short: a raw mean rewards luck and small numbers – a unit with an extreme average on a few responses tops the list until you ask how reliable it is. The Vårdbetyg score asks that for you.
What the score does not capture
Shrinkage handles uncertainty – the risk that a small basis lands wrong. It does not correct systematic bias. A health centre in an affluent area with healthy, confident patients tends to receive higher ratings than one serving a population with heavier care needs, for reasons that say nothing about how well the clinic does its job. The Vårdbetyg score does not adjust for such differences in patient mix (case-mix), any more than a raw mean does.
Two more things worth remembering: the National Patient Survey measures patient experience, not medical outcomes, and it is answered by roughly four in ten of those asked – the ones who respond are not necessarily representative. The score is therefore best read as a stable measure of how patients experience a clinic, not as a fair verdict on the quality of care independent of who the patients are. Compare clinics in similar areas where you can, and weigh in what you know yourself.
We spell this out because a comparison that hides its own limits is worth less, not more. The whole method is open to recalculation on the methodology page.
Source: National Patient Survey 2025 (SKR). Open data at resultat.patientenkat.se.