A Descriptive Study about Factors Affecting Data Quality of EWARS in Surabaya 2016

Abstract

Early Warning and Response System (EWARS) is a health information technology used to report diseases in particular with potential outbreaks and it can generate "alerts" when an outbreak is found. EWARS report is conducted on a weekly basis by reporting disease data on EWARS website according to the code of each disease that has been established. This research is a descriptive study based on quantitative assessment. Sampling is done by using simple random sampling method. Interviews were conducted to 33 officers at Puskesmas Kota Surabaya by using questionnaires. The variables are respondent characteristics including age, sex, education level, length of work, computer experience, and EWARS socialization experience. Then, it also examines the level of knowledge, attitudes, perceived ease of use, perceived usefulness towards EWARS implementation, and data quality of EWARS itself. The result shows that the majority of respondents are at the age of 20-40 years, female sex, have a sufficient level of education, have worked as EWARS officers for more than 2 years, have been using computers for more than 2 years, been through EWARS socialization. In addition, most respondents have good level of knowledge, attitudes, perceived ease of use, and perceived usefulness towards EWARS implementation, but unfortunately, the data quality is still undervalued. The conclusion is that having good level of knowledge, attitude, perception of ease, and perception of usefulness does not always result EWARS report in high quality because other attributes still need to be measured.