Statin adherence among patients with hypertension in Swedish primary health care: a QregPV cohort study using explainable machine learning

Johan Sandslätt, Kristina Bengtsson Boström, Maria Åberg, Johan-Emil Bager, Koen Simons, Georgios Mourtzinis, Per Hjerpe, Tobias Andersson · 2026

Read Statin adherence among patients with hypertension in Swedish primary health care: a QregPV cohort study using explainable machine learning by Johan Sandslätt, Kristina Bengtsson Boström, Maria Åberg, Johan-Emil Bager, Koen Simons, Georgios Mourtzinis, Per Hjerpe, Tobias Andersson (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13594359.txt.

Description

Johan Sandslätt and co-authors study statin adherence in Swedish primary care in a 2026 paper. Cholesterol-lowering statins only help if patients keep taking them. Evidence on adherence among people with high blood pressure in routine care was limited.

Registers from a large Swedish region covered about thirty thousand patients who started statins in the early twenty-teens. Adherence over two years was measured by days covered with dispensed medicine. Machine learning methods that explain their own drivers picked out which traits predicted stopping. The paper names the strongest predictors, giving clinics targets for follow-up with patients most likely to quit quietly.

Catalog record

CREATORJohan Sandslätt, Kristina Bengtsson Boström, Maria Åberg, Johan-Emil Bager, Koen Simons, Georgios Mourtzinis, Per Hjerpe, Tobias Andersson
YEAR2026
COLLECTIONPAPERS
FORMATTXT
FILE SIZE30 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC13594359

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