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Accepted for/Published in: JMIR Formative Research

Date Submitted: Jun 23, 2025
Date Accepted: Jan 2, 2026

The final, peer-reviewed published version of this preprint can be found here:

Designing a Case Management Mobile Health App for Violence Intervention Programs: Mixed Methods Human-Centered Design Study

Salvatori MG, Patel D, Baer AP, von Hippel CD, Wang J, Goldberg D, Texada M, Sammann A

Designing a Case Management Mobile Health App for Violence Intervention Programs: Mixed Methods Human-Centered Design Study

JMIR Form Res 2026;10:e79533

DOI: 10.2196/79533

PMID: 41627895

PMCID: 12863242

Designing a Case Management Mobile Health Application for Violence Intervention Programs: A Mixed-Methods Human-Centered Design Study

  • Marianna G Salvatori; 
  • Devika Patel; 
  • Adrienne Paige Baer; 
  • Christiana Dagmar von Hippel; 
  • Jerome Wang; 
  • Daniel Goldberg; 
  • Michael Texada; 
  • Amanda Sammann

ABSTRACT

Background:

Hospital-based violence intervention programs (HVIPs) have shown promise in mitigating the effects of violence, but their impact is limited by time constraints and inefficient practices faced by the Violence Prevention Professionals (VPPs) who function as case managers. Mobile health applications (mHealth apps) offer the potential to enhance communication and service delivery between VPPs and clients, but few have been specifically designed for vulnerable populations.

Objective:

To design a mHealth app to improve communication and access to resources between survivors of violence and their VPPs using Human-Centered Design (HCD) and iterative prototyping methods.

Methods:

HCD methodology was used, including rounds of Participatory Design, Low-fidelity Prototype Testing, and High-fidelity Prototype Testing. The Participatory Design phase included in-depth interviews and co-design, followed by inductive qualitative analysis to inform the mHealth app’s initial low-fidelity design. The Low-fidelity Prototype Testing phase included in-depth interviews with probing questions about the low-fidelity design, followed by inductive qualitative analysis to inform the mHealth app’s initial high-fidelity design. The High-fidelity Prototype Testing phase utilized the Rapid Iterative Testing and Evaluation (RITE) method and inductive qualitative analysis to rapidly collect and integrate VPP feedback into the mHealth app’s final design approved for implementation.

Results:

Eight VPPs participated in three rounds of testing and feedback. Participatory Design identified four key themes: (1) trust, (2) personal connection, (3) tailored resource curation, and (4) management of administrative burdens. Low-fidelity Prototype Testing identified three additional key themes: (5) intuitive and comprehensive design, (6) dynamic journey and sense of progress, and (7) standardization of verbiage and design choices. High-fidelity Prototype Testing through RITE identified 181 actionable issues, with 133 addressed, achieving a 73% impact ratio (used to measure the effectiveness of usability improvements). High-fidelity Prototype Testing identified nine key themes, reaffirming five themes from prior testing sessions (theme 2, theme 3, theme 5, theme 6, and theme 7), and uncovering four novel themes: (8) control over boundaries, (9) celebration of client successes, (10) client empowerment, and (11) warm hand-off. The final mHealth app version adapted from 3 low-fidelity digital representations (wireframes) to 25 high-fidelity wireframes of a mHealth app to support case management.

Conclusions:

The combination of HCD and RITE methodologies resulted in a mHealth app tailored to the needs of VPPs working with survivors of violence. This approach may be transferable to the development of other mHealth apps for specialized populations, though further research with larger samples would be needed to establish generalizability. Clinical Trial: N/A


 Citation

Please cite as:

Salvatori MG, Patel D, Baer AP, von Hippel CD, Wang J, Goldberg D, Texada M, Sammann A

Designing a Case Management Mobile Health App for Violence Intervention Programs: Mixed Methods Human-Centered Design Study

JMIR Form Res 2026;10:e79533

DOI: 10.2196/79533

PMID: 41627895

PMCID: 12863242

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