{"title":"Validation of the Usability Metrics for eHealth systems in Tanzania","authors":"Karisha Kavuta, Simon Msanjila, Nima Shidende","doi":"10.37284/eajit.6.1.1500","DOIUrl":null,"url":null,"abstract":"The prevalence of eHealth systems in healthcare facilities has experienced significant growth in many countries. Nevertheless, a significant obstacle that has arisen pertains to the usability of the implemented systems. This paper focuses on assessing the usability metrics that are applicable in evaluating eHealth systems in Tanzania’s contexts. Data were collected through questionnaires and interviews at six health facilities in Tanzania. The main participants were the health workers who were using the eHealth system in their routine healthcare delivery, including pharmacists, laboratory technicians, doctors, and nurses in their different cadres. The analysis of the findings was performed to obtain usability metrics and contextual issues by computing confirmatory factor analysis (CFA) using structural equation modelling (SEM) for quantitative data and thematic analysis for qualitative data. The results revealed that 11 usability metrics constructs with 54 items and 5 contextual issues constructs with 18 items were applicable in evaluating the usability of eHealth systems in Tanzania","PeriodicalId":476140,"journal":{"name":"East African journal of information technology","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"East African journal of information technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37284/eajit.6.1.1500","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The prevalence of eHealth systems in healthcare facilities has experienced significant growth in many countries. Nevertheless, a significant obstacle that has arisen pertains to the usability of the implemented systems. This paper focuses on assessing the usability metrics that are applicable in evaluating eHealth systems in Tanzania’s contexts. Data were collected through questionnaires and interviews at six health facilities in Tanzania. The main participants were the health workers who were using the eHealth system in their routine healthcare delivery, including pharmacists, laboratory technicians, doctors, and nurses in their different cadres. The analysis of the findings was performed to obtain usability metrics and contextual issues by computing confirmatory factor analysis (CFA) using structural equation modelling (SEM) for quantitative data and thematic analysis for qualitative data. The results revealed that 11 usability metrics constructs with 54 items and 5 contextual issues constructs with 18 items were applicable in evaluating the usability of eHealth systems in Tanzania