M Sriram Iyengar1, Odille Chang2, Jose F Florez-Arango3, Mosese Taria2, Vimla L Patel3. 1. University of Arizona College of Medicine, Phoenix, AZ, USA. 2. College of Medicine Nursing and Health Sciences, Fiji National University, Suva, Fiji. 3. College of Medicine, Texas A&M Health Science Center, College Station, TX, USA.
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.
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.
Entities:
Keywords:
Mental health; Usability; community health nurses; global health; screening