@article{ref1,
title="Development and usability of a mobile tool for identification of depression and suicide risk in Fiji",
journal="Technology and health care",
year="2020",
author="Iyengar, M. Sriram and Chang, Odille and Florez-Arango, Jose F. and Taria, Mosese and Patel, Vimla L.",
volume="ePub",
number="ePub",
pages="ePub-ePub",
abstract="BACKGROUND: In Fiji and other South Pacific island countries, depression and suicide are of great concern. There is a pressing need to rapidly identify those at risk and provide treatment as soon as possible.   OBJECTIVE: Design, develop and test a mobile health tool that enables CHNs to easily and rapidly identify individuals at risk for suicide and depression and provide guidelines for their treatment.   METHODS: Using Android Studio, a native app called ASRaDA was developed that encoded two validated scales: Center for Epidemiological Studies-Depression (CES-D), and Suicide Behavior Questionnaire-Revised (SBQ-R). The usability of the app was measured using the System Usability Scale by community health nurses in Fiji.   RESULTS: Out of a maximim possible of 100 on SUS, ASRaDA was scored at 85.36.   CONCLUSION: Mobile tools with high usability can be designed to aid community health nurses in Fiji and Pacific island counties rapidly identify those at risk for depression and suicide.<p /> <p>Language: en</p>",
language="en",
issn="0928-7329",
doi="10.3233/THC-202132",
url="http://dx.doi.org/10.3233/THC-202132"
}