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QUANTITATIVE METHODS FOR MEASURING PATIENT PREFERENCES: PILOT STUDY FOR PATIENTS WITH LOCALIZED PROSTATE CANCER

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21460%2F24%3A00382175" target="_blank" >RIV/68407700:21460/24:00382175 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.14311/CTJ.2024.4.02" target="_blank" >https://doi.org/10.14311/CTJ.2024.4.02</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.14311/CTJ.2024.4.02" target="_blank" >10.14311/CTJ.2024.4.02</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    QUANTITATIVE METHODS FOR MEASURING PATIENT PREFERENCES: PILOT STUDY FOR PATIENTS WITH LOCALIZED PROSTATE CANCER

  • Original language description

    This pilot study examines patient preferences in patients with localized prostate cancer using quantitative methods for measuring Discrete Choice Experiment (DCE) and Best-Worst Scaling (BWS) type 3. The study focuses on key attributes that may influence patients' treatment decisions. Patients chose one of two or three hypothetical treatment scenarios based on key attributes: risk of erectile dysfunction; urinary incontinence; other side effects; transport to hospital and return to normal activities. Additionally, patients evaluated both methods in terms of difficulty and satisfaction using a Likert scale. Results show that the most important attribute for patients with localized prostate cancer is the risk of erectile dysfunction (36.0%, 29.8%), followed by the risk of urinary incontinence (24.9%, 23.0%). In both attributes, patients wanted to avoid the worst levels and vice versa. The results of preferred attributes did not differ between methods. Patients found the Discrete Choice Experiment method less difficult and were more satisfied with it. This research suggests that quantitative approaches, such as DCE and BWS, can be valuable tools for better understanding patient preferences and integrating them into personalized treatment decision-making.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    30304 - Public and environmental health

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Lékař a technika – Clinician and Technology

  • ISSN

    0301-5491

  • e-ISSN

    2336-5552

  • Volume of the periodical

    54

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    9

  • Pages from-to

    119-127

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-105001106522