Background

Analysis and interpretation of data at the local level enables timely detection of adverse events and informs locally relevant responses. This forms a major aspect of the frontline Field Epidemiology Training Program Papua New Guinea (FETPNG) training and is key to effective implementation of the One Health approach in communities. This study aimed to understand how health facility data have been used by FETPNG fellows to inform design and implementation of public health interventions in primary health care (PHC) and identify what factors influenced the use of these data.

Methods

We used a collective case study methodology, reviewing 69 public health intervention projects conducted between 2015 and 2019, and then interviewed a random sample of FETPNG fellows who completed these projects. Inductive content analysis of the interviewed transcripts was undertaken.

Results

The FETPNG fellows recognised the value of data collection, analysis and reporting, as a tool to inform public health action. Based the review findings and a content analysis of the interview data, key factors influencing data use included data access, availability and quality. These factors are further influenced in practice by collaboration and individual staff capacity. Quarterly review processes were well described but further research is needed on what factors contribute to their effectiveness. 

Conclusion

This research contributes to the body of evidence on pathways to institutionalising the use of health intelligence to inform decision-making at the local level of the health system, essential to the OneHealth approach.