Using operational research as a tool to improve eye health services and systems in low-and middle-income settings: lessons from India and Nepal

Abstract

Background

Operational Research (OR), as part of a quality assurance program, has become a standard feature of most health institutions in most high-income countries. In contrast, in low-income settings, operational research is less common, and almost no one has asssed operational research capacity building (ORCB) as a tool to improve efficacy, efficiency and quality in these settings. This study evaluated the impact of an ORCB program on participants’ research competencies and the extent to which research findings were implemented in practice.

Materials and methods

This study combined quantitative and qualitative data to evaluate an ORCB intervention in eye hospitals in Nepal (3 sites) and northern India (1 site) from 2019 to 2022. A self-reported questionnaire was administered at the end of the study period, and formal interviews were conducted. The questionnaire covered knowledge improvement, practice implementation, and motivating and challenging factors. Statistical analysis included paired t-tests to compare pre- and post-training scores. Qualitative data were gathered through interviews and observations and analysed thematically.

Results

The program demonstrated significant improvements in participants’ research knowledge gain. Quantitative analysis revealed substantial gains in knowledge (p-values < 0.05 for all domains). Post-training, 66.7% developed study protocols, and 60% trained other staff or students. Qualitative feedback indicated overall positive impacts, including enhanced research and operational activities. However, reported challenges such as inconsistent mentorship quality, poor internet connectivity during online sessions, and difficulty in balancing clinical work with research. Despite these challenges, there was notable improvement in research practice and internal training within hospitals, and the program’s approach was appreciated for its effectiveness.

Conclusion

The study highlights the need for standardized training modules, consistent mentorship, and stronger institutional support. Building operational research capacity in resource-poor settings with limited administrative staff and weak data infrastructure improves individual staff knowledge and skills. Participants learned about scientific principles of reliability and validity and their importance to efforts to improve service equity, efficiency, and effectiveness.