Data Quality of Coronary Health Disease Surveillance Improvement through Technology Acceptance

Background and aims: The application of information technology can support decision making and accelerate data recording and information reporting. Surveillance attributes and acceptance of information technology contribute to the implementation of surveillance to achieve its goals. Implementation and intervention of surveillance attributes need to be done in a balanced manner so that the surveillance system can run effectively and efficiently. This study was to develop a model for improving NCD data quality through technology acceptance in NCD surveillance attributes. Methods This research using cross-sectional design. This study uses the total population, namely all health centers in Surabaya to be the target of the study. Data analysis will be conducted using Spearman Correlation Test, Fisher Exact and path analysis. Results The surveillance attribute (Acceptability) and the TAM component (Perceived Usefulness) have the highest impact on the CHD surveillance Data Quality attribute. The quality of CHD surveillance data will improve if supported by the use of information technology that can be perceived by officers to support their performance. Conclusion The use of the NCD Web Portal has an impact on the Data Quality attribute. Information technology will improve the quality of surveillance data if the technology can provide benefits to officers