Factors underlying treatment decision-making for localized prostate cancer in the U.S. and Canada: A scoping review using principal component analysis

Authors

  • Mustafa Andkhoie University of Saskatchewan
  • Desneige Meyer University of Saskatchewan
  • Michael Szafron University of Saskatchewan

DOI:

https://doi.org/10.5489/cuaj.5538

Keywords:

localized prostate cancer, treatment, decision-making

Abstract

Introduction: The purpose of this research is to gather, collate, and identify key factors commonly studied in localized prostate cancer (LPC) treatment decision-making in Canada and the U.S.

Methods: This scoping review uses five databases (Medline, EMBASE, CINAHL, AMED, and PsycInfo) to identify relevant articles using a list of inclusion and exclusion criteria applied by two reviewers. A list of topics describing the themes of the articles was extracted and key factors were identified using principal component analysis (PCA). A word cloud of titles and abstracts of the relevant articles was created to identify complementary results to the PCA.

Results: This review identified 77 relevant articles describing 32 topics related to LPC treatment decision-making. The PCA grouped these 32 topics into five key factors commonly studied in LPC treatment decision-making: 1) treatment type; 2) socioeconomic/ demographic characteristics; 3) personal reasons for treatment choice; 4) psychology of treatment decision experience; and 5) level of involvement in the decision-making process. The word cloud identified common phrases that were complementary to the factors identified through the PCA.

Conclusions: This research identifies several possible factors impacting LPC treatment decision-making. Further research needs to be completed to determine the impact that these factors have in the LPC treatment decision-making experience.

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Published

2018-11-20

How to Cite

Andkhoie, M., Meyer, D., & Szafron, M. (2018). Factors underlying treatment decision-making for localized prostate cancer in the U.S. and Canada: A scoping review using principal component analysis. Canadian Urological Association Journal, 13(7). https://doi.org/10.5489/cuaj.5538

Issue

Vol. 13 No. 7 (2019): CUAJ July

Section

Review

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