Development of a Patient Decision Aid for cT1 Renal Masses: A User-Centered Mixed-Methods Study

We systematically developed a PtDA for cT1 renal masses. The PtDA was found acceptable and usable by patients and HCPs. The PtDA is currently being implemented in routine care.

Authors

Institutions

Publication Details

Journal
Urology Practice
Published
2025-05-15
DOI
https://doi.org/10.1097/upj.0000000000000830
Primary Topic
Renal cell carcinoma treatment
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development of a Patient Decision Aid for cT1 Renal Masses: A User-Centered Mixed-Methods Study

Harm H.E. van Melick, Mirjam M. Garvelink, P. B. van der Nat, Regina The et al.
Urology Practice
Renal cell carcinoma treatment
article

Development of a Patient Decision Aid for cT1 Renal Masses: A User-Centered Mixed-Methods Study

Harm H.E. van Melick, Mirjam M. Garvelink, P. B. van der Nat, Regina The, Cato C Bresser
article en

Abstract

We systematically developed a PtDA for cT1 renal masses. The PtDA was found acceptable and usable by patients and HCPs. The PtDA is currently being implemented in routine care.

Urology PracticeVol. 12(5)
Radboud University Nijmegen (NL), Radboud University Medical Center (NL), St. Antonius Ziekenhuis (NL), ZorgKeuzeLab (NL), TropIQ Health Sciences (NL)
Pfizer, Mylan, Stichting Kwaliteitsgelden Medisch Specialisten, Ministerio de Economía y Competitividad, Ipsen
Peace, Justice and strong institutions
Openalex Percentile: Top 82%
Renal cell carcinoma treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.