# Optimizing Benefits‐Harms of H. pylori Screen‐and‐Treat Programs Tailored to the Regional Settings

## TL;DR

This paper explains how decision modeling can help create cost-effective H. pylori screening and treatment programs that are tailored to specific regions.

## Contribution

The paper introduces a framework for using decision modeling to optimize H. pylori screen-and-treat programs based on regional needs.

## Key findings

- Modeling studies show H. pylori screen-and-treat is cost-effective in diverse populations.
- Decision modeling can improve resource allocation and health equity in these programs.
- Integrating H. pylori screening with other preventive programs may enhance efficiency.

## Abstract

This article outlines how decision modeling can be used to optimize the cost‐effectiveness of
H. pylori
screen‐and‐treat programs. Decision models enable the translation of data from pilot studies into locally tailored strategies by adapting test modalities, treatment options, and the need to retest specific to the local setting. We summarize existing evidence from modeling studies, which consistently demonstrate that
H. pylori
screen‐and‐treat is cost‐effective across diverse populations. In addition, we discuss how decision modeling can support resource allocation, promote health equity, and guide implementation planning. Integrating
H. pylori
screen‐and‐treat into established preventive programs, such as colorectal cancer screening, may further increase efficiency and feasibility. The article concludes with a proposed research agenda to advance efficient
H. pylori
screen‐and‐treat programs across the globe.