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GerenciaVida: Validity Evidence of a Mobile Application for Suicide Behavior Management

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  • Daniel de Macêdo Rocha

    (Department of Nursing, Federal University of Mato Grosso do Sul, Coxim 79400-000, Brazil
    Ribeirão Preto College of Nursing, University of São Paulo, Ribeirão Preto 14040-902, Brazil)

  • Aline Costa de Oliveira

    (Department of Nursing, Federal University of Piauí, Teresina 64049-550, Brazil)

  • Sandra Marina Gonçalves Bezerra

    (Department of Nursing, Federal University of Piauí, Teresina 64049-550, Brazil)

  • Laelson Rochelle Milanês Sousa

    (Nursing Course, State University of Maranhão, Coroatá 65665-000, Brazil)

  • Rafael Saraiva Alves

    (Department of Nursing, Federal University of Mato Grosso do Sul, Coxim 79400-000, Brazil)

  • Breno da Silva Oliveira

    (Department of Nursing, Federal University of Mato Grosso do Sul, Coxim 79400-000, Brazil)

  • Iara Barbosa Ramos

    (Department of Nursing, Federal University of Mato Grosso do Sul, Coxim 79400-000, Brazil)

  • Muriel Fernanda de Lima

    (Department of Nursing, Federal University of Mato Grosso do Sul, Coxim 79400-000, Brazil)

  • Renata Karina Reis

    (Ribeirão Preto College of Nursing, University of São Paulo, Ribeirão Preto 14040-902, Brazil)

  • Lídya Tolstenko Nogueira

    (Department of Nursing, Federal University of Piauí, Teresina 64049-550, Brazil)

Abstract

Technology-based strategies for the prevention and management of suicidal behavior are widely referenced for identifying vulnerable groups and for supporting clinical reasoning, decision-making, and appropriate referrals. In this study, we estimated the interface and content validity evidence of an interactive mobile application developed for managing suicidal behavior. This methodological study employed psychometric parameters to evaluate the content and interface of the mobile application, following five action phases: analysis, design, development, implementation, and evaluation. A total of 27 healthcare professionals participated, selected by convenience sampling, all working within the Psychosocial Care Network across different regions of Brazil. Data were collected using an electronic form, the Delphi technique for evaluation rounds, and a Likert scale to achieve consensus. The validity analysis was based on a Content Validity Index (CVI) equal to or greater than 0.80. The results showed that GerenciaVida, a technology developed for healthcare workers—regardless of their level of care or professional category—can be used to screen for suicide risk in the general population and indicate preventive alternatives. The app demonstrated satisfactory indicators of content validity (0.974) and interface validity (0.963), reflecting clarity (0.925), objectivity (1.00), adequacy (0.925), coherence (0.962), accuracy (0.962), and clinical relevance (1.00). The development path of this mobile application provided scientific, technological, and operational support, establishing it as an innovative care tool. It consolidates valid evidence that supports the identification, risk classification, and prevention of suicidal behavior in various healthcare contexts.

Suggested Citation

  • Daniel de Macêdo Rocha & Aline Costa de Oliveira & Sandra Marina Gonçalves Bezerra & Laelson Rochelle Milanês Sousa & Rafael Saraiva Alves & Breno da Silva Oliveira & Iara Barbosa Ramos & Muriel Ferna, 2025. "GerenciaVida: Validity Evidence of a Mobile Application for Suicide Behavior Management," IJERPH, MDPI, vol. 22(7), pages 1-14, July.
  • Handle: RePEc:gam:jijerp:v:22:y:2025:i:7:p:1115-:d:1702182
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    1. Daniel de Macêdo Rocha & Andrey Oeiras Pedroso & Mayra Gonçalves Menegueti & Renata Cristina de Campos Pereira Silveira & Laelson Rochelle Milanês Sousa & Elucir Gir & Renata Karina Reis, 2025. "Predictors of Anxiety, Depression, and Stress in Long COVID: Systematic Review of Prevalence," IJERPH, MDPI, vol. 22(6), pages 1-14, May.
    2. Daniel de Macêdo Rocha & Andrey Oeiras Pedroso & Laelson Rochelle Milanês Sousa & Elucir Gir & Renata Karina Reis, 2025. "Predictors for Anxiety and Stress in Long COVID: A Study in the Brazilian Population," IJERPH, MDPI, vol. 22(2), pages 1-12, February.
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    1. Daniel de Macêdo Rocha & Andrey Oeiras Pedroso & Mayra Gonçalves Menegueti & Renata Cristina de Campos Pereira Silveira & Laelson Rochelle Milanês Sousa & Elucir Gir & Renata Karina Reis, 2025. "Predictors of Anxiety, Depression, and Stress in Long COVID: Systematic Review of Prevalence," IJERPH, MDPI, vol. 22(6), pages 1-14, May.

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