Development and usability of a mobile tool for identification of depression and suicide risk in Fiji

M. Sriram Iyengar, Odille Chang, Jose F. Florez-Arango, Mosese Taria, Vimla L. Patel

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)143-153
Number of pages11
JournalTechnology and Health Care
Volume29
Issue number1
DOIs
StatePublished - 2021
Externally publishedYes

Keywords

  • Mental health
  • community health nurses
  • global health
  • screening
  • usability

ASJC Scopus subject areas

  • Biophysics
  • Bioengineering
  • Information Systems
  • Biomaterials
  • Biomedical Engineering
  • Health Informatics

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