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 language | English (US) |
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Pages (from-to) | 143-153 |
Number of pages | 11 |
Journal | Technology and Health Care |
Volume | 29 |
Issue number | 1 |
DOIs | |
State | Published - 2021 |
Keywords
- Mental health
- community health nurses
- global health
- screening
- usability
ASJC Scopus subject areas
- Biophysics
- Bioengineering
- Information Systems
- Biomaterials
- Biomedical Engineering
- Health Informatics