https://doi.org/10.1186/s12874-019-0776-y

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ORCID iD

Abbas Tavakoli https://orcid.org/0000-0003-2527-7017

Document Type

Article

Subject Area(s)

Adult; African Americans (psychology); Aged; Anxiety (psychology); Attitude to Computers; Cross-Sectional Studies; Decision Support Techniques; Factor Analysis, Statistical; Humans; Male; Middle Aged; Patient Acceptance of Health Care; Prostatic Neoplasms (psychology); Psychometrics; Reproducibility of Results; Self Efficacy

Abstract

BACKGROUND:

To reliably evaluate the acceptance and use of computer-based prostate cancer decision aids (CBDAs) for African-American men, culturally relevant measures are needed. This study describes the development and initial psychometric evaluation of the 24-item Computer-Based Prostate Cancer Screening Decision Aid Acceptance Scale among 357 African-American men.

METHODS:

Exploratory factor analysis (EFA) with maximum likelihood estimation and polychoric correlations followed by Promax and Varimax rotations. RESULTS: EFA yielded three factors: Technology Use Expectancy and Intention (16 items), Technology Use Anxiety (5 items), and Technology Use Self-Efficacy (3 items) with good to excellent internal consistency reliability at .95, .90, and .85, respectively. The standardized root mean square residual (0.035) indicated the factor structure explained most of the correlations.

CONCLUSIONS:

Findings suggest the three-factor, 24-item Computer-Based Prostate Cancer Screening Decision Aid Acceptance Scale has utility in determining the acceptance and use of CBDAs among African-American men at risk for prostate cancer. Future research is needed to confirm this factor structure among socio-demographically diverse African-Americans.

Digital Object Identifier (DOI)

https://doi.org/10.1186/s12874-019-0776-y

APA Citation

Owens, O., Wooten, N., & Tavakoli, A. (2019). Development and initial psychometric evaluation of the computer-based prostate Cancer screening decision aid acceptance scale for African-American men. BMC Medical Research Methodology, 19(146). https://doi.org/10.1186/s12874-019-0776-y

Rights

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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