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Record W4409067233 · doi:10.1016/j.ahj.2025.03.015

Rationale and design of NUDGE-CKD: A nationwide randomized factorial trial of electronic nudges for increasing guideline-directed medical therapy in chronic kidney disease

2025· article· en· W4409067233 on OpenAlexaff
Kristoffer Grundtvig Skaarup, Niklas Dyrby Johansen, Lisbet Brandi, Morten Lindhardt, Jesper Nørgaard Bech, My Svensson, Tilde Kristensen, Anne Daugaard Thuesen, Jan Kampmann, Mads Hornum, Birgitte Ørts, Daniel Modin, Mats Christian Højbjerg Lassen, Kira Hyldekær Janstrup, Brian Claggett, Muthiah Vaduganathan, Ankeet S. Bhatt, Harriette Van Spall, Jens‐Ulrik Stæhr Jensen, Faiez Zannad, Scott D. Solomon, Anne Møller, Rikke Borg, Henrik Birn, Ditte Hansen, Tor Biering‐Sørensen

Bibliographic record

VenueAmerican Heart Journal · 2025
Typearticle
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsPopulation Health Research Institute
FundersDanish Cardiovascular AcademyRespicardiaAmerican RegentSanofi PasteurNational Institutes of HealthSeqirusRegion HovedstadenNovo NordiskGlaxoSmithKlineGedeon RichterServierPfizerModernaSarepta TherapeuticsDansk Nefrologisk SelskabCytokineticsNovo Nordisk FondenBoston Scientific CorporationNational Heart, Lung, and Blood InstituteAcceleronAlnylam PharmaceuticalsHjerteforeningenAlexion PharmaceuticalsSanofiAmgenVifor PharmaAstraZenecaEli Lilly and CompanyBristol-Myers Squibb
KeywordsMedicineNudge theoryKidney diseaseGuidelineRandomized controlled trialClinical trialPhysical therapyIntensive care medicineFamily medicineInternal medicinePathology

Abstract

fetched live from OpenAlex

BACKGROUND: Treatment guidelines for chronic kidney disease (CKD) recommend sodium-glucose cotransporter 2 inhibitors (SGLT2i) as first-line treatment for a broad range of individuals with CKD, alongside renin-angiotensin system inhibitors (RASi). However, adoption of guidelines in clinical practice is often delayed, potentially leading to avoidable associated morbidity and mortality. Effective strategies are needed to improve implementation of guideline-directed medical therapy (GDMT) in patients with CKD. This trial will evaluate the effectiveness of electronic letter-based nudges, delivered via the Danish governmental electronic letter system to individuals with CKD, their general practices, or both, in increasing GDMT in individuals with CKD. METHODS: NUDGE-CKD is a 2 × 2 factorial, nationwide implementation trial, with randomization at both the general practice and patient level. All Danish citizens with CKD and access to the official Danish electronic letter system were randomized in a 1:1 ratio to usual care (no letter) or to receive an electronic letter-based nudge on GDMT in CKD. All Danish general practices with a patient with CKD on their patient panel were also randomized 1:1 to usual care (no letter) or to receive an electronic informational nudge letter on GDMT in CKD. Data are collected through the Danish administrative health registries. The primary endpoint is a prescription of RASi or SGLT2i within 6 months of intervention delivery based on fill records. Secondary endpoints include components of the primary endpoint, as well as proportion of new CKD GDMT users. Prespecified exploratory endpoints include filled prescriptions of other cardio-renal-protective medications, general practice contacts, assessment of renal biomarkers and downstream clinical outcomes. A total 22,617 individuals with CKD were randomized to the patient-level intervention, and 28,069 individuals with CKD across 1,540 general practices were randomized to the general practice-level intervention. Intervention letters were delivered on August 19, 2024, and follow-up is currently ongoing (end of follow-up for primary endpoint: February 19, 2025). DISCUSSION: NUDGE-CKD is the first nationwide randomized trial of electronic letter-based nudges delivered to individuals with CKD and their general practices to increase uptake of GDMT in individuals with CKD. The trial will provide evidence into the usefulness of direct communication with patients and healthcare providers for real-world implementation of GDMT. TRIAL REGISTRATION: Clinicaltrials.gov: NCT06300086, registered March 7, 2024 (https://clinicaltrials.gov/study/NCT06300086).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.041
metaresearch head score (Gemma)0.031
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.041
Threshold uncertainty score0.218

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0410.031
Meta-epidemiology (narrow)0.0060.003
Meta-epidemiology (broad)0.0060.003
Bibliometrics0.0010.001
Science and technology studies0.0020.004
Scholarly communication0.0030.002
Open science0.0030.002
Research integrity0.0070.005
Insufficient payload (model declined to judge)0.0170.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.329
Teacher spread0.311 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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