Evidence map›Paper›PMID 39109409›Full record

Trial reportDeutsches Arzteblatt international2024

Evaluation of a Digital Decision Aid for Knee Replacement Surgery.

Jörg Lützner, Stefanie Deckert, Franziska Beyer, Waldemar Hahn, Jürgen Malzahn, Martin Sedlmayr, Klaus-Peter Günther, Jochen Schmitt, Toni Lange, Value-based Total Knee Replacement Study Group

Registry-linked trialAbstract readRandomized Controlled TrialMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Deutsches Arzteblatt international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04837053 (An Individualized Decision Aid for Physicians and Patients for Total Knee Replacement in Osteoarthritis), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT04837053 nacompletednot on this map

An Individualized Decision Aid for Physicians and Patients for Total Knee Replacement in Osteoarthritis (Value-based TKR): Study Protocol for a Multi-center, Stepped Wedge, Cluster Randomized Controlled Trial

TypeinterventionalSponsorTechnische Universität DresdenRan2021 to 2024Enrolled1,092ConditionsKnee Osteoarthritis, Arthroplasty, Replacement, KneeArmsDigital decision aid for physicians and patients, Routine care
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Jörg LütznerUniversity Center of Orthopedic, Trauma and Plastic Surgery, University Hospital and Faculty of Medicine Carl Gustav Carus at the Technische Universität Dresden, Dresden, Germany; Center for Evidence-Based Healthcare, University Hospital and Faculty of Medicine Carl Gustav Carus at the Technische Universität Dresden, Dresden, Germany; Institute for Medical Informatics and Biometry, University Hospital and Faculty of Medicine Carl Gustav Carus at the Technische Universität Dresden, Dresden, Germany; AOK Federal Association.
Stefanie Deckert
Franziska Beyer
Waldemar Hahn
Jürgen Malzahn
Martin Sedlmayr
Klaus-Peter Günther
Jochen Schmitt
Toni Lange
Value-based Total Knee Replacement Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe studied whether an individualized digital decision aid can improve decision-making quality for or against knee arthroplasty.

methodsAn app-based decision aid (EKIT tool) was developed and studied in a stepped-wedge, cluster-randomized trial. Consecutive patients with knee osteoarthritis who were candidates for knee replacement were included in 10 centers in Germany. All subjects were asked via app on a tablet about their symptoms, prior treatments, and preferences and goals for treatment. For the subjects in the intervention group, the EKIT tool was used in the doctor-patient discussion to visualize the individual disease burden and degree of fulfillment of the indication criteria, and structured information on knee arthroplasty was provided. In the control group, the discussion was conducted without the EKIT tool in accordance with the local standard in each participating center. The primary endpoint was the quality of the patient's decision on the basis of the discussion of indications, as measured with the Hip and Knee Quality Decision Instrument (HK-DQI). (Registration number: ClinicalTrials.gov:NCT04837053).

results1092 patients were included, and data from 1055 patients were analyzed (616 in the intervention group and 439 in the control group). Good decision quality, as rated by the HKDQI, was achieved by 86.0% of patients in the intervention group and 67.4% of patients in the control group (relative risk, 1.24; 95 % confidence interval, [1.15; 1.33]).

conclusionA digital decision aid significantly improved the quality of decision-making for or against knee replacement surgery. The widespread use of this instrument may have an even larger effect, as this trial was conducted mainly in hospitals with high case numbers.

Indexed as

Arthroplasty, Replacement, KneeOsteoarthritis, KneeAgedDecision Support TechniquesFemaleGermanyHumansMaleMiddle AgedMobile Applications

Identifiers

PMID39109409
PMCPMC11551546

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.