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Development and usability of a mobile tool for identification of depression and suicide risk in Fiji
M Sriram Iyengar1, Odille Chang2, Jose F Florez-Arango3
1University of Arizona College of Medicine, Phoenix, AZ, USA.
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 86.79.
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.
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