Physician recommendation and patient adherence for colorectal cancer screening

J Am Board Fam Med. 2012 Nov-Dec;25(6):782-91. doi: 10.3122/jabfm.2012.06.110254.

Abstract

Background: Physician recommendation is one of the strongest, most consistent predictors of colorectal cancer (CRC) screening. Little is known regarding characteristics associated with patient adherence to physician recommendations in community and academic based primary care settings.

Methods: Data were analyzed from 975 patients, aged ≥50 years, recruited from 25 primary care practices in New Jersey. Chi-square and generalized estimate equation analyses determined independent correlates of receipt of and adherence to physician recommendation for CRC.

Results: Patients reported high screening rates for CRC (59%). More than three fourths of patients reported either screening or having received a screening recommendation (82%). Men (P = .0425), nonsmokers (P = .0029), and patients who were highly educated (P = .0311) were more likely to receive a CRC screening recommendation. Patients more adhere to CRC screening recommendations were older adults (P < .0001), nonsmokers (P = .0005), those who were more highly educated (P = .0365), Hispanics (P = .0325), and those who were married (P < .0001).

Conclusions: Community and academic primary care clinicians appropriately recommended screening to high-risk patients with familial risk factors. However, they less frequently recommended screening to others (ie, women and smokers) also likely to benefit. To further increase CRC screening, clinicians must systematically recommend screening to all patients who may benefit.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Aged, 80 and over
  • Colorectal Neoplasms / diagnosis*
  • Cross-Sectional Studies
  • Directive Counseling / statistics & numerical data*
  • Female
  • Guideline Adherence / statistics & numerical data*
  • Health Care Surveys
  • Humans
  • Male
  • Middle Aged
  • Multivariate Analysis
  • New Jersey
  • Patient Compliance / statistics & numerical data*
  • Practice Guidelines as Topic
  • Practice Patterns, Physicians' / statistics & numerical data*
  • Primary Health Care / statistics & numerical data
  • Regression Analysis