Development of Information Roadmap for Personalized Colorectal Cancer Screening in Iran

Abstract

Background:

A data-driven colorectal cancer screening strategy based on a personalized approach can improve health outcomes. This study aims to develop an information road map for personalized colorectal cancer screening in Iran.

Materials and Methods:

This study is a mix-method research (MMR) which consisted of three phases: phase I, the development of a checklist with 275 items for assessing required data elements of personalized colorectal cancer screening; phase II, situational analysis of colorectal cancer screening dataset according to the checklist; phase III, development of national information roadmap for personalized colorectal cancer screening with in-depth interview and focus groups.

Results:

 Personalized datasets of colorectal cancer screening were defined in four dimensions, including a clinical dataset, a genetic dataset, a demographic dataset, and a social determinant dataset. In the next step data elements of colorectal cancer screening based on personalized datasets were analyzed. Of the 275 items, only 96 items are recorded. In the final step, a national information roadmap of personalized colorectal cancer screening with 6 levels was developed.

Conclusion:

Personalized screening based on integration dataset play a key role in the successful implementation of the screening program. Implementation of a national roadmap can assist to improve the quality of data in personalized screening.