Lessons Learned from the EZ Liver Network Pilot Project

Abstract

Background: The pilot project, called the EZ liver network, in Chanthaburi Province aims to screen patients with hepatitis B virus and refer them into appropriate treatment processes. However, this pilot project has never been evaluated.

Objectives: 1) to evaluate the project in terms of structure, process, and outcome 2) to determine obstacles and success factors in implementing the pilot project 3) to provide recommendations for improvement and expansion of the project.

Method: Qualitative research was employed. Key informants included 24 stakeholders, selected through purposive sampling and the snowball method. Data were collected through in-depth interviews between January and April 2024. Data were analyzed using content analysis.

Results: According to the structural component, the pilot project obtained support from management and revealed good collaboration with provincial networks. The project leader had potential, but the number of healthcare professionals was insufficient and lacked expertise in relevant areas. Medical equipment was adequate, with appropriate protocol and referral guidelines that are periodically updated. However, the information technology system did not comprehensively cover all levels of the organization. In terms of process, the pilot project was promoted through various channels, including patient screening and referral, treatment, and follow-up care. The outcome component demonstrated that the target population responded positively, with increased participation in screening and more timely linkage to appropriate care pathways. Key factors contributing to the pilot project's success included the leadership and medical team, the design of the simplified protocol and referral system, network collaboration, and support from the directors. However, several obstacles need to be addressed.

Conclusion: This pilot project model has improved patient access to care. Other provinces interested in this model may adapt it to their local context, as resource availability and system readiness differ across settings.