The CRISP-P study: feasibility of a self-completed colorectal cancer risk prediction tool in primary care

Fam Pract. 2019 Nov 18;36(6):730-735. doi: 10.1093/fampra/cmz029.

Abstract

Objective: Australia and New Zealand have the highest incidence of colorectal cancer (CRC) globally. Our research team has developed a CRC risk prediction tool for use in primary care to increase targeted screening. This study, Colorectal cancer RISk Prediction tool - patient ('CRISP-P'), aimed to determine the following to inform a future trial design: (i) the feasibility of self-reporting; (ii) the feasibility of recruitment methods; and (iii) the prevalence of CRC risk.

Methods: Participants aged between 40 and 75 years were recruited consecutively from three primary care waiting rooms. Participants input data into CRISP on a tablet without receiving clinical advice. Feasibility was evaluated using recruitment rate, timely completion, a self-reported 'ease-of-use', score and field notes. Prevalence of CRC risk was calculated using the CRISP model.

Results: Five hundred sixty-one (90%) patients agreed to use the tool and 424 (84%) rated the tool easy to use. Despite this, 41% of people were unable to complete the questions without assistance. Patients who were older, without tertiary education or with English as their second language were more likely to require assistance (P < 0.001). Thirty-nine percent of patients were low risk, 58% at slightly increased and 2.4% were at moderately increased risk of developing colorectal cancer in the next 5 years.

Conclusions: The tool was perceived as easy to use, although older, less educated people, and patients with English as their second language needed help. The data support the recruitment methods but not the use of a self-completed tool for an efficacy trial.

Keywords: family practice; general practice; humans; primary health care; self-report; tablets.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Australia
  • Colorectal Neoplasms / diagnosis*
  • Computer Simulation
  • Diagnosis, Computer-Assisted / methods*
  • Feasibility Studies
  • Female
  • General Practitioners
  • Humans
  • Male
  • Middle Aged
  • Primary Health Care / methods*
  • Risk Assessment / methods*
  • Self Report*