Volume 21, Issue 71 (4-2018)                   jha 2018, 21(71): 37-49 | Back to browse issues page

XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Sheikhtaheri A, Ghazizadeh Z. Usability Evaluation of the Farabar Statistical Information System in Iranian Universities of Medical Sciences. jha. 2018; 21 (71) :37-49
URL: http://jha.iums.ac.ir/article-1-2296-en.html
1- School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Islamic Republic of Iran
2- Population-based Cancer Registry, Comprehensive Cancer Center, Mazandaran University of Medical Sciences, Sari, Iran , zghazizadeh@mazums.ac.ir
Abstract:   (489 Views)


Introduction: Statistical information systems are used to gather, document, classify and analyze the data and statistics of an organization and distribute this statistics for upper managers. Medical sciences universities in Iran use such a system, called Farabar. This study conducted to evaluate the usability of this national statistical information system in medical sciences universities in Iran. 
Methods: This applied, analytical study was conducted in 2015. In the study, 278 managers and staff who were the users of Farabar in 13 different medical universities of Iran were randomly invited to participate in the study. We used the ISO Isometric 9241.10 usability questionnaire, following reliability and validity testing. We analyzed data using descriptive and inferential statistics ( t-test and ANOVA) by using SPSS 20.   

Results: The mean score for different dimensions of ISO Isometric 9241.10 usability were as follows: suitability for the task (2.94 out of 5), self-descriptiveness (2.74 out of 5), controllability (2.74 out of 5), conformity with user expectations (2.86 out of 5), error tolerance (2.5 out of 5), suitability for individualization (2.46 out of 5) and finally, suitability for learning (2.75 out of 5). There were statistically significant relationships between perceived usability and users’ job history, age, working years with Farabar and other statistical software, perceived importance of Farabar and the types of usage.   
Conclusion: Farabar software were relatively successful in terms of usability However, dimensions such as error tolerance and suitability for individualization requires more attention.

 

Full-Text [PDF 355 kb]   (179 Downloads)    
Type of Study: Applicable | Subject: General
Received: 2016/12/31 | Accepted: 2018/01/20 | Published: 2018/03/17

Add your comments about this article : Your username or Email:
CAPTCHA code

Send email to the article author


© 2018 All Rights Reserved | Journal of Health Administration

Designed & Developed by : Yektaweb