Extending Health Information System Evaluation with an Importance-Performance Map Analysis

Evaluation of a health information system is necessary for determining effective use and for enhancing the productivity of medical practitioners. However, the current system evaluation toolkit does not recommend specific areas required for further improvement. The objective of this chapter was to identify those constructs and their attributes that were the most suitable candidates for managerial intervention by applying partial least squares structural equation modeling. In doing so, the quantitative survey was adopted from the past studies together with new items creation representing system quality, records quality, service quality, and knowledge quality as the predictors while effective use and user performance as the outcomes. When extending the findings in importance-performance map analysis, two-system quality attributes (workflows fit and work styles fit) and all-knowledge quality attributes exhibited higher importance rank for managerial actions. The chapter also provides a valuable recommendation for the policy and decision-makers at the managerial level on how to apply the proposed system evaluation method in producing more efficient strategic-planning strategies for further system upgrades and new implementation at health facilities.