Predictors of prostate cancer screening using Andersen's Behavioral Model of Health Services Use

Urol Oncol. 2016 Dec;34(12):529.e9-529.e14. doi: 10.1016/j.urolonc.2016.06.016. Epub 2016 Jul 21.

Abstract

Purpose: The purposes of the study were to examine the prevalence of prostate cancer screening (PCS) in the United States and to identify predictors of PCS guided by Andersen's Behavioral Model of Health Services Use (ABM).

Methods: PCS rates were analyzed in men (aged ≥40y) using 2014 data from the Behavioral Risk Factor Surveillance System. Descriptive analysis was conducted using sampling weights to determine the prevalence of PCS (i.e., had a prostate-specific antigen test). Multiple logistic regression within the framework of ABM was used to identify predictors of PCS. The ABM variables of predisposing (e.g., age), enabling (e.g., health insurance), and need (e.g., comorbidities) comprised the independent variables.

Results: Among the 131,415 men, 62.4% (N = 82,014) reported that they had a prostate-specific antigen test in the last 2 years. Among predisposing factors, age, education, income, and employment status were significantly associated with undergoing PCS. Informed decision-making process, health care coverage, regular health care provider, and length of time since last routine checkup were significant enabling factors. Health care provider recommendation and previous cancer diagnosis were significant need factors.

Conclusions: Most older men in the United States had previously engaged in PCS. Several ABM variables were predictive of PCS and should be considered when developing future strategies to encourage PCS in at-risk men with the recommended life expectancies. Such strategies should also ensure that the decision to undergo PCS is an informed process between patients and their health care providers.

Keywords: Andersen’s Behavioral Model; PSA testing; Prostate cancer; Screening.

MeSH terms

  • Adult
  • Age Factors
  • Aged
  • Aged, 80 and over
  • Directive Counseling
  • Early Detection of Cancer / statistics & numerical data*
  • Health Services / statistics & numerical data*
  • Health Services Needs and Demand
  • Humans
  • Insurance Coverage / statistics & numerical data
  • Logistic Models
  • Male
  • Middle Aged
  • Models, Psychological*
  • Palpation
  • Patient Acceptance of Health Care / statistics & numerical data*
  • Prostate-Specific Antigen / blood
  • Prostatic Neoplasms / diagnosis*
  • Prostatic Neoplasms / prevention & control
  • Risk Factors
  • Socioeconomic Factors
  • United States

Substances

  • Prostate-Specific Antigen