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ReachCare Mobile Apps for Patients Experiencing Suicidality in the Emergency Department: Development and Usability Testing Using Mixed Methods.

作者信息

Larkin Celine, Djamasbi Soussan, Boudreaux Edwin D, Varzgani Fatima, Garner Roscoe, Siddique Mariam, Pietro John, Tulu Bengisu

机构信息

Department of Emergency Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States.

The Business School, Worcester Polytechnic Institute, Worcester, MA, United States.

出版信息

JMIR Form Res. 2023 Jan 27;7:e41422. doi: 10.2196/41422.


DOI:10.2196/41422
PMID:36705961
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9919536/
Abstract

BACKGROUND: Many individuals with suicide risk present to acute care settings such as emergency departments (EDs). However, staffing and time constraints mean that many EDs are not well equipped to deliver evidence-based interventions for patients experiencing suicidality. An existing intervention initiated in the ED for patients with suicide risk (Emergency Department Safety Assessment and Follow-up Evaluation [ED-SAFE]) has been found to be effective but faces trenchant barriers for widespread adoption. OBJECTIVE: On the basis of the ED-SAFE intervention, we aimed to develop 2 apps for patients with suicide risk: a web app guiding patients through safety planning in the ED (ED app) and a smartphone app providing patients components of the ED-SAFE program on their phones after discharge (patient app). We then tested the usability of these apps with patients presenting to the ED with suicide risk. METHODS: Using a user-centered design framework, we first developed user personas to explore the needs and characteristics of patients who are at risk for suicide using inputs from clinicians (n=3) and suicidologists (n=4). Next, we validated these personas during interviews with individuals with lived experience of suicidality (n=6) and used them to inform our application designs. We field-tested the apps with ED patients presenting with suicide risk (n=14) in 2 iterative cycles to assess their usability and engagement using a mixed methods approach. We also rated the quality and fidelity of the safety plans created. RESULTS: We developed 2 interoperable and complementary apps. The first is a web app designed for use on a tablet device during ED admission that guides the patient by creating a safety plan using a chatbot-style interface. The second is a smartphone app for use after discharge and allows the patient to view, edit, and share their completed safety plan; access self-care education, helplines, and behavioral health referrals; and track follow-up appointments with the study clinician. The initial prototype usability testing (n=9) demonstrated satisfactory scores (ED app System Usability Scale [SUS], mean 78.6/100, SD 24.1; User Engagement Scale, mean 3.74/5, SD 0.72; patient app SUS, mean 81.7/100, SD 20.1). After refining the apps based on participant feedback, the second cycle testing (n=5) showed improvement (ED app SUS, mean 90.5/100, SD 9.9; User Engagement Scale, mean 4.07/5, SD 0.36; patient app SUS, mean 97.0/100, SD 1.9). The quality ratings for completed safety plans were satisfactory (Safety Planning Intervention Scoring Algorithm-Brief, mean 27.4, SD 3.4). CONCLUSIONS: By adopting a user-centered approach and creating personas to guide development, we were able to create apps for ED patients with suicide risk and obtain satisfactory usability, engagement, and quality scores. Developing digital health tools based on user-centered design principles that deliver evidence-based intervention components may help overcome trenchant implementation barriers in challenging health care settings.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca66/9919536/f996d27ec432/formative_v7i1e41422_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca66/9919536/52f8912d1463/formative_v7i1e41422_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca66/9919536/60b4c5785495/formative_v7i1e41422_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca66/9919536/a43fff21ac87/formative_v7i1e41422_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca66/9919536/f996d27ec432/formative_v7i1e41422_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca66/9919536/52f8912d1463/formative_v7i1e41422_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca66/9919536/60b4c5785495/formative_v7i1e41422_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca66/9919536/a43fff21ac87/formative_v7i1e41422_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca66/9919536/f996d27ec432/formative_v7i1e41422_fig4.jpg

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[2]
Automated Digital Safety Planning Interventions for Young Adults: Qualitative Study Using Online Co-design Methods.

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[3]
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Curr Treat Options Psychiatry. 2024-6

[4]
Developing personas to inform the design of digital interventions for perinatal mental health.

JAMIA Open. 2024-11-1

[5]
A Suicide Prevention Digital Technology for Individuals Experiencing an Acute Suicide Crisis in Emergency Departments: Naturalistic Observational Study of Real-World Acceptability, Feasibility, and Safety.

JMIR Form Res. 2024-9-16

[6]
Co-producing digital mental health interventions: A systematic review.

Digit Health. 2024-4-25

[7]
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JMIR Ment Health. 2024-3-28

[8]
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[9]
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本文引用的文献

[1]
System Usability Scale Benchmarking for Digital Health Apps: Meta-analysis.

JMIR Mhealth Uhealth. 2022-8-18

[2]
Centering Lived Experience in Developing Digital Interventions for Suicide and Self-injurious Behaviors: User-Centered Design Approach.

JMIR Ment Health. 2021-12-24

[3]
Online mental health interventions designed for students in higher education: A user-centered perspective.

Internet Interv. 2021-10-9

[4]
Deaths: Leading Causes for 2019.

Natl Vital Stat Rep. 2021-7

[5]
The Effectiveness of the Safety Planning Intervention for Adults Experiencing Suicide-Related Distress: A Systematic Review.

Arch Suicide Res. 2022

[6]
Emergency department safety assessment and follow-up evaluation 2: An implementation trial to improve suicide prevention.

Contemp Clin Trials. 2020-8

[7]
Group ("Project Life Force") versus individual suicide safety planning: A randomized clinical trial.

Contemp Clin Trials Commun. 2020-1-10

[8]
Insights from user reviews to improve mental health apps.

Health Informatics J. 2020-9

[9]
Standalone smartphone apps for mental health-a systematic review and meta-analysis.

NPJ Digit Med. 2019-12-2

[10]
Assessing usability of eHealth technology: A comparison of usability benchmarking instruments.

Int J Med Inform. 2019-5-5

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