Literature Review: Data Quality Assessment Methods Of Electronic Tuberculosis Recording And Reporting

Abstract

In the world, number of tuberculosis (TB) cases reaches 10 million people with deaths reaching 1.7 million people. Data quality of recording and reporting needs to be considered as one of TB control strategies. To optimize TB control, some countries conduct data quality assessments using a method by assessing several dimensions. This study aims to examine several methods of assessing data quality of electronic TB recording and reporting through literature review with simplified approach. Search of indexed and reputable articles is done on Google Scholar, Scopus, PubMed, Web of Science, CrossRed, PROQUEST databases. Articles review show that there are 3 methods used to assess data quality, namely Centers for Disease Control and Prevention (CDC) tool (85%), Routine Data Quality Assessment (RDQA) (5%), and independently developed methods (40 %). Based on used of several methods, data quality dimensions most frequently assessed were completeness (85%), followed by dimensions of timeliness (40%) and consistency (20%). There were differences from 3 methods, specifically CDC tool was suitable for assessing data completeness, RDQA was suitable for assessing data reported routinely, and independently developed methods were used according to district conditions. Assessment of TB data quality is still limited, a health institution needs to conduct assessment of data quality regularly so TB control efforts are more optimal.