D. Mattera,

“Mobile Applications in Mental Health and Public Safety: Challenges and Gaps in Digital Transformation”,

Latin-American Journal of Computing (LAJC), vol. 13, no. 2, 2026.

Mobile Applications

in Mental Health and

Public Safety: Challenges

and Gaps in Digital

Transformation

ARTICLE HISTORY

Received 24 December 2025

Accepted 27 March 2026

Published 7 July 2026

Diego Mattera

UCASAL

Buenos Aires, Argentina

mattera9@gmail.com

ORCID: 0009-0001-2937-7229

ISSN:1390-9266 e-ISSN:1390-9134 LAJC 2026

This work is licensed under a Creative Commons

Attribution-NonCommercial-ShareAlike 4.0 International License.

ISSN:1390-9266 e-ISSN:1390-9134 LAJC 2026

DOI:

LATIN-AMERICAN JOURNAL OF COMPUTING (LAJC), Vol XIII, Issue 2, July 2026

https://doi.org/10.33333/lajc.vol13n2.05

LATIN-AMERICAN JOURNAL OF COMPUTING (LAJC), Vol XIII, Issue 2, July - December 2026

Mobile Applications in Mental Health and Public

Safety: Challenges and Gaps in Digital

Transformation

Aplicaciones Móviles en Salud Mental y Seguridad

Ciudadana: Desafíos y Brechas en la

Transformación Digital

Diego Mattera

UCASAL

Buenos Aires, Argentina

mattera9@gmail.com

Abstract—Mobile applications in mental health and public safety

have evolved from individual tools into strategic digital

infrastructures within the process of digital transformation. This

study presents a narrative and documentary review focused on the

United States context. The results show that, although these

applications demonstrate high functional effectiveness and

sustained growth, their social impact is limited by inequalities in

access, digital literacy, institutional trust, and interoperability with

public services. In mental health, app use among individuals with

diagnosed disorders remains low, with moderate effects on reducing

anxiety and depression symptoms and intermittent adherence,

despite high levels of smartphone ownership. In public safety,

platforms such as Life360 and Citizen report user growth; however,

evidence regarding their real operational impact, response time

reduction, and perceived security is limited and heterogeneous. The

social sustainability of these technologies requires institutional

validation, inclusive design, data protection, community

participation, and alignment with public policies. The convergence

with artificial intelligence, wearable devices, and hybrid

intervention models projects future trends toward intelligent

personalization and the strengthening of community resilience.

Resúmen—Las aplicaciones móviles en salud mental y seguridad

ciudadana han evolucionado de herramientas individuales a

infraestructuras digitales estratégicas en la transformación digital.

Este estudio realiza una revisión narrativa y documental, centrada

en el contexto estadounidense. Los resultados muestran que, aunque

estas aplicaciones presentan alta eficacia funcional y crecimiento

sostenido, su impacto social se ve limitado por desigualdades en

acceso, alfabetización digital, confianza institucional e

interoperabilidad con servicios públicos. En salud mental, el uso de

aplicaciones entre personas con trastornos diagnosticados es

reducido, presenta efectos moderados en la reducción de síntomas

de ansiedad y depresión y adherencia intermitente, pese a la alta

propiedad de smartphones. En seguridad ciudadana, plataformas

como Life360 y Citizen registran crecimiento de usuarios, pero la

evidencia sobre impacto operativo real, reducción de tiempos de

respuesta y percepción de seguridad es limitada y heterogénea. La

sostenibilidad social de estas tecnologías requiere validación

institucional, diseño inclusivo, protección de datos, participación

comunitaria y articulación con políticas públicas. La confluencia

con inteligencia artificial, dispositivos vulnerables y modelos

híbridos de intervención proyecta tendencias futuras hacia

personalización inteligente y fortalecimiento de la resiliencia

comunitaria.

Keywords—mobile applications, mental health, citizen security,

digital divide, technology adoption, digital transformation.

Palabras clave— aplicaciones móviles, salud mental, seguridad

ciudadana, brecha digital, adopción tecnológica, transformación

digital.

INTRODUCTION

In recent decades, mobile applications have evolved from

tools designed for individual convenience into critical

infrastructures for managing public safety and mental health,

within the framework of an accelerated process of digital

transformation (Ventola, 2014). These technologies driven

by the integration of artificial intelligence, geolocation,

process automation, and community engagement have

reshaped approaches to prevention, monitoring, and

intervention in situations of individual and collective risk,

expanding both institutional response capacities and digitally

mediated forms of social participation.

In the field of mental health, several studies conclude that

mobile apps enhance service coverage through digital

therapies, emotional monitoring, and asynchronous

interventions, particularly in contexts characterized by high

demand and limited availability of in-person services (Luxton

et al., 2016; Hwang et al., 2021; Havard et al., 2015). In

parallel, platforms oriented toward public safety have

demonstrated potential to strengthen real-time incident

reporting, community coordination, and integration with

emergency systems, fostering new dynamics of collective

intelligence and distributed surveillance.

ISSN:1390-9266 e-ISSN:1390-9134 LAJC 2026

DOI:

LATIN-AMERICAN JOURNAL OF COMPUTING (LAJC), Vol XIII, Issue 2, July 2026

https://doi.org/10.33333/lajc.vol13n2.05

D. Mattera,

“Mobile Applications in Mental Health and Public Safety: Challenges and Gaps in Digital Transformation”,

Latin-American Journal of Computing (LAJC), vol. 13, no. 2, 2026.

Nevertheless, the expansion of these mobile applications

occurs within a landscape marked by persistent structural

barriers. Current literature highlights that the digital divide,

technological fragmentation, limited interoperability with

public systems, and risks related to sensitive data protection

and algorithmic bias significantly constrain their

effectiveness as instruments of social protection (Kitchin,

2014; WHO, 2022). Specifically, while research such as that

of McCloud et al. (2020), published in JMIR Mental Health,

reports significant reductions in symptoms of depression and

anxiety through sustained use of digital therapy applications,

notable inequalities have also been observed in terms of

access, continuous use, and quality of outcomes. These

disparities are largely determined by digital literacy,

socioeconomic status, and institutional context. This tension

between high functional potential and unequal structural

conditions raises critical questions regarding the actual scope

of mobile applications as sustainable instruments of social

intervention.

Against this backdrop, the present article aims to analyze how

mobile applications oriented toward mental health and public

safety are being developed and implemented as tools for

prevention, monitoring, and response to risk situations, as

well as to examine the main technical, ethical, and

institutional challenges that affect their effective integration

with public systems. Although the scope of analysis is

general, the empirical evidence focuses particularly on the

case of the United States, given its high adoption of

technological tools, availability of institutional data, and

advanced development of digital infrastructures.

Through a narrative and documentary review of scientific

literature, institutional reports, and representative digital

platforms from both fields of study, this work seeks to

contribute a strategic and critical perspective on the role of

mobile applications as instruments of digital change, risk

prevention, and collaborative governance, with particular

attention to the structural inequalities that shape their

adoption, impact, and social assimilation.

THEORETICAL FRAMEWORK: CONCEPTUAL,

FUNCTIONAL, AND TECHNOLOGICAL

APPROACHES

A. Mobile Applications and Digital Transformation

Recent academic production converges in conceptualizing

mobile applications as central socio-technical devices in the

current phase of digital transformation, as they structure

technological developments, automation processes, and

advances in mediation between individuals, institutions, and

social protection systems.

In the domains of mental health and public safety, these

mobile platforms not only fulfill instrumental functions but

also operate as digital infrastructures for intervention,

prevention, and risk management. From a systemic

perspective, Luxton et al. (2016) argue that mental health

applications reconfigure traditional care models by enabling

asynchronous interventions, continuous monitoring of

emotional states, and rapid access to therapeutic resources,

thereby reducing limitations related to geographic location,

professional availability, and access costs. In a similar vein,

Firth et al. (2017) situate them within the field of digital

mental health interventions, emphasizing their potential as

technological extensions of traditional clinical systems in

contexts of high demand.

B. Mental Health Applications

From a functional standpoint, mobile mental health

applications can be grouped into three major categories:

Therapeutic support apps, which provide mood tracking,

psychoeducation, and structured tactics for digital

psychological intervention (e.g., Youper, Sanvello).

Emotional well-being and prevention apps, which focus on

reducing stress, regulating emotional health, and improving

sleep (e.g., Calm, Headspace, Insight Timer).

Crisis management apps, aimed at suicide prevention and

urgent support, prioritizing immediate access to support

networks and emergency services (e.g., MY3, NotOK).

This classification underscores the progressive expansion of

the digital mental health field toward devices of prevention,

intervention, and continuous support.

Building on this functional basis, mobile mental health

applications are developed through diverse patterns of digital

therapeutic mediation. On one hand, tele-psychotherapy

platforms (e.g., Talkspace, BetterHelp) rely on multichannel

communication schemes text, audio, and video that sustain

technology-mediated therapeutic processes under conditions

of greater temporal flexibility and spatial delocalization. On

the other hand, these technologies also incorporate artificial

intelligence (e.g., Woebot, Wysa), which employ

conversational systems grounded in cognitive-behavioral

therapy principles, oriented toward emotional self-regulation,

psychological training, and early symptom detection. These

advances fall within the domain of digital therapies,

characterized by the fusion of clinical knowledge, automated

processes, and the potential for large-scale expansion.

In this same line, the systematic review by Almuqrin et al.

(2025) highlights sustained growth in evidence-based mental

health applications. Nevertheless, significant barriers remain

in their clinical validation, regulation, and effective

translation into healthcare systems, requiring standardized

criteria for their responsible incorporation.

C. Public Safety Applications

Recent literature on public safety highlights a progressive

shift from patterns of targeted surveillance toward distributed

surveillance schemes and citizen participation mediated by

digital platforms.

From a functional perspective, public safety applications

exhibit a clear differentiation:

Alert and reporting apps, which enable direct contact with

emergency services and the georeferenced transmission of

real-time information (e.g., official emergency applications).

Preventive personal safety apps focus on location monitoring,

automatic alert activation in risk situations, and

communication with trusted contacts (e.g., Life360, bSafe).

Collaborative surveillance apps, based on citizen

participation for incident reporting, risk mapping, and

information exchange among neighbors (e.g., Citizen, local

neighborhood alert systems).

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These typologies reflect the transition from reactive models

to preventive schemes of digital risk management.

Several studies have noted that these technologies not only

restructure urban self-protection practices but also reshape

the social production of surveillance and territorial control. In

this regard, Kitchin (2014) argues that the digital

infrastructures of so-called “smart cities” reorganize

traditional forms of security governance by implementing

decentralized citizen participation, real-time decision-making

processes, and algorithmic systems.

Consequently, these mobile applications are analyzed as risk

communication infrastructures that enable decentralized

information production, real-time incident reporting,

coordination of family and community trajectories, and the

generation of situational alerts (e.g., Citizen, Nextdoor,

AlertCops). These platforms do not replace state security

mechanisms but act as complementary layers of information,

thereby expanding event recording capacity, accelerating

response circuits, and reshaping social perceptions of

protection. In this sense, security ceases to depend

exclusively on vertical structures and increasingly

incorporates horizontal dynamics of digital cooperation.

D. Technological Architecture and Functional Impacts

From a technical-structural standpoint, mobile applications

in public safety and mental health share a modular, scalable,

and user-centered architecture, sustained by the integration of

multiple technological layers.

Key structural components include:

1. Artificial intelligence, oriented toward predictive

analysis of emotional states, behavioral patterns, and risk

scenarios.

2. Geolocation, supporting the identification of critical areas,

spatial coordination of responses, and contextualized

activation of alerts.

3. Process automation, through conversational bots,

emergency protocols, and instant notification systems.

4. Advanced information security mechanisms, including

end-to-end encryption, biometric authentication, and access

control, which are essential in environments managing

sensitive data, as documented by Kitchin (2014) and Lupton

(2015) in their analyses of digital infrastructures applied to

health and safety.

From a functional perspective, specialized literature

documents that mental health applications enable,

unprecedented forms of longitudinal monitoring of emotional

states through systematic records, psychological assessment

scales, affect regulation exercises, and crisis intervention

tools (Berrouiguet et al., 2016; Lipschitz et al., 2022;

Lehtimäki et al., 2021).

More broadly, hybridization is observed between

technological logic, social intervention, and institutional risk

management, characteristic of new regimes of digital

governance, where platforms, algorithms, and mobile devices

articulate institutional practices and social dynamics of

prevention and control (Lupton, 2015; Kitchin, 2014; Lyon,

2018).

E. Ethical and Regulatory Tensions

Specialized literature warns that the expansion of these

digital infrastructures is marked by complex ethical,

regulatory, and political tensions. Among the main

challenges are the vulnerability of personal data privacy, the

opacity of algorithmic systems, biases in classification and

prediction mechanisms, and technological fragmentation that

limits interoperability between private platforms and public

services.

Regarding algorithmic ethics, authors such as Mittelstadt et

al. (2016) caution that automated decision-making systems

may reproduce structural inequalities, generate unintended

discriminatory effects, and complicate the attribution of

responsibility—particularly when they operate as opaque

“black boxes” for users and institutions.

These issues must be addressed in alignment with regulatory

frameworks and international standards, such as the General

Data Protection Regulation (GDPR), the Health Insurance

Portability and Accountability Act (HIPAA) in the healthcare

domain, and the recommendations of the National Institute of

Standards and Technology (NIST) in cybersecurity. These

frameworks aim to ensure principles of transparency,

fairness, security, and algorithmic accountability in the

deployment of such technologies.

METHODOLOGY

A. Study Design

This study adopts a narrative and documentary review

approach, aimed at analyzing the adoption, impact, and

challenges of mobile applications in the domains of mental

health and public safety. This type of research design allows

for the integration of scientific literature, sectoral reports,

institutional documents, and data from representative digital

platforms, providing a critical and comprehensive

perspective on models of implementation and use of these

technological tools. The choice of this approach is justified

by the heterogeneity of available data, the diversity of

application contexts, and the need to identify both general

trends and structural constraints.

B. Source Selection and Inclusion Criteria

This work incorporates relevant sources published between

2015 and 2025, prioritizing studies with official reports,

empirical evidence, and international documentation on

digital health and emergency systems. The following were

considered:

Scientific articles on mobile applications for mental health

and public safety. Institutional reports from national and

international organizations, including EENA, GAO, and U.S.

government agencies. Data from representative technological

platforms, such as Life360 and Citizen, to contextualize

adoption and market penetration. Market studies and sectoral

reports on expansion, demand, and functional coverage of

apps.

Anecdotal sources, studies focused exclusively on technical

aspects without social or functional implications, and reports

lacking clear references were excluded.

C. Analytical Strategy

The analysis was structured around three main axes:

Adoption patterns and structural gaps: evaluation of

inequalities in access and use, considering socioeconomic,

geographic, cultural, digital literacy, and institutional trust

factors.

Impact on mental health: review of evidence on the use of

applications for psychological support, digital therapies, and

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DOI:

LATIN-AMERICAN JOURNAL OF COMPUTING (LAJC), Vol XIII, Issue 2, July 2026

https://doi.org/10.33333/lajc.vol13n2.05

D. Mattera,

“Mobile Applications in Mental Health and Public Safety: Challenges and Gaps in Digital Transformation”,

Latin-American Journal of Computing (LAJC), vol. 13, no. 2, 2026.

emotional monitoring, including prevalence of use,

adherence, continuity, and reported outcomes.

Scope in public safety: analysis of the adoption of community

surveillance and reporting apps, their relationship with

official emergency systems (Next Generation 911), and a

critical evaluation of their actual impact on response times

and perceptions of safety.

A comparative and critical approach was applied,

triangulating institutional reports and market data with

academic studies, with particular attention to the United

States as the central context.

D. Synthesis Procedure

Extracted information was organized into thematic matrices

that enabled comparison across adoption patterns, functional

impacts, and structural limitations.

The narrative synthesis combined quantitative results—such

as market estimates, adoption percentages, and user

coverage—with qualitative analysis of structural inequalities,

digital exclusion factors, technical challenges, and ethical

barriers.

Through this procedure, general trends and gaps in empirical

evidence were identified, guiding the discussion of findings

toward digital inclusion policies, participatory design

approaches, and strategies for institutional strengthening.

E. Implementation of the Analysis

The narrative review was organized through a systematic

process of searching, selecting, and synthesizing scientific

literature, institutional reports, and documentation from

relevant digital platforms. The collected data were coded and

analyzed narratively, with emphasis on the functional

potential and the structural barriers that condition the

adoption, effectiveness, and social appropriation of mobile

applications.

This approach enabled a comparative analysis across

different contexts and technologies, as well as the

identification of ethical, technological, and institutional

challenges, together with opportunities to strengthen digital

inclusion, interoperability, and collaborative governance.

The results of the review are presented below, organized

according to the axes of adoption, impact on mental health,

and scope in public safety. Socioeconomic inequalities

directly affect processes of digital exclusion, as evidenced by

the digital divide based on access to connectivity and

technological devices, particularly among populations residing

in rural areas or in contexts with precarious infrastructure,

lower income, and lower educational attainment. This pattern

has also been observed in the United States, where data reflect

the impact of structural inequalities on low-income

populations, rural residents, and racial minorities, who face

greater difficulties in accessing available digital applications.

Such asymmetry limits the capacity of health and safety

applications to function as universal tools (Hernández &

Roberts, 2018). The mere incorporation of digital technologies

into the population does not guarantee homogeneous results in

infrastructure. In this respect, a recent study by Wen and Tian

(2024) indicates that the mental health benefits associated with

digital access are more evident in urban than in rural contexts.

Table I. Limiting Factors in Access to Mobile Health and Public Safety

Applications

Dimension Limiting

Factor

Impact Description

Socio-

educational

Low digital

literacy

Hinders the effective use

of mobile health, including

mental health and public

safety applications,

particularly among

populations with lower

educational attainment.

Structural Access

inequalities

Limitations in access to

mobile devices, connectivity,

and digital services, which

reduce the possibilities of

technological adoption.

Sociocultural Cultural

and/or

linguistic

barriers

Linguistic and cultural

differences hinder the

understanding, appropriation,

and proper use of mobile

applications.

Technological-

institutional

Distrust in

data privacy

Fear of misuse of

personal information

discourages the download and

use of digital platforms.

In the specific case of mobile applications oriented toward

public safety, a study published in Police Practice and Research

(Elphick et al., 2021) analyzed the privacy terms and

conditions of 240 applications and revealed the existence of

scarce—or even absent—regulations regarding data

protection. This situation acts as a deterrent for users who

distrust institutions. Most applications require registration or

allow anonymous submissions, and barely 10% provide

comprehensible privacy policies. These characteristics

generate vulnerability, particularly among individuals with

lower digital competencies who face greater difficulties in

accessing these tools equitably.

In the United States, deficits in privacy terms and

institutional distrust particularly affect migrant communities,

African Americans, and individuals with histories of police

surveillance. In addition, economic inequalities limit access to

safety applications that require constant connectivity, mobile

data consumption, and updated devices. In this context, so-

called “digital public protection” tends, in practice, to exclude

those with fewer social advantages. The absence of access to

mobile technologies constitutes the first level of the digital

divide and has a direct impact on security conditions, as noted

by Mihale-Wilson et al. (2025). At the same time, the increase

in the use of neighborhood surveillance and reporting

applications in the United States has reignited debates on

privacy, distrust of authorities, selective surveillance, and

algorithmic bias. Moreover, the collection of sensitive data

under low or nonexistent protection standards does not

effectively guarantee rights such as anonymization nor foster

genuine community participation, contributing to the rejection

of these technologies by marginalized or vulnerable

communities (Elphick et al., 2021). In summary, the systems

and literature reviewed demonstrate that the development and

expansion of public safety applications hold significant

potential to strengthen citizen participation, reduce

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bureaucratic barriers in reporting systems, and optimize

security mechanisms. However, their deployment must be

accompanied by policies aimed at improving digital literacy,

infrastructure, data protection, and technological inclusion.

Furthermore, it is essential to promote designs that actively

address existing economic and structural inequalities. To

overcome the unequal conditions that determine who can

benefit from technological innovations and access to health,

coordinated interventions are required across institutional,

social, and political domains.

A. Impact in the Field of Mental Health

Digital mental health applications can serve as

complementary or alternative tools for psychological support.

This potential is linked to data from the MHA 2023 report,

which indicates that 20.8% of the U.S. adult population—over

50 million people—experienced a mental disorder during that

year, and a significant proportion expressed dissatisfaction

with the treatments received. Several studies conducted in

recent years show that the rapid increase in smartphone

adoption has not corresponded to an equivalent growth in the

use of mental health applications among individuals with

diagnosed disorders.

According to Deressa Guracho et al. (2023), the combined

prevalence of app use among people with mental disorders

was approximately 23.3%. In a survey of the general

population, 41% of participants reported having used a mental

health application in the past 12 months (Fürtjes et al., 2024),

while another study indicated that in the United States, 43%

accessed mental well-being applications, though only 18%

used them for clinical purposes (Vera Cruz, 2023). Available

empirical evidence suggests that these applications have

moderate effects in reducing symptoms of anxiety and

depression (Bell et al., 2022; Vera Cruz, 2023; Fürtjes et al.,

2024).

However, adherence and continuity of use are often limited,

which restricts their long-term therapeutic impact. In parallel,

the global market for mental health applications is projected

to grow steadily, with estimates reaching USD 17.5 billion by

2030 (Grand View Research, 2025).

Table II below presents a synthesis of the use and impact of mental health

applications, according to recent studies.

Source

Indicator

Results

MHA 2023 [22] Prevalence of mental

disorders in U.S. adults

20.8% of adults (50

million people)

Deressa Guracho et

al. [23

Use of apps among

individuals with

diagnosed mental

disorders

23%

Fürtjes et al. [24] Use of apps in the

general population

41%

Vera Cruz [25] Use of apps for clinical

purposes

18%

Bell et al. [26] Use of apps for clinical

purposes

Moderate reduction of

anxiety and depression

Grand View

Research [27]

Global market

projection

Is projected to reach

USD 17.5 billion by

2030

Table III below synthesizes the main digital public safety platforms,

emergency response systems, and their territorial scope.

Main Platforms /

Systems

Scope

Indicators

Life360

EE.UU.

More than 50 million active

users.

Citizen

EE.UU.

Over 5 million users; coverage in

more than 60 cities.

Next Generation

911 (NG911)

EE.UU.

Uneven implementation across

states.

PSAP (EENA)

More than 60

countries

Transition toward next-

generation models.

GAO

EE.UU.

Financial, technical, and

institutional limitations.

B. Actual Scope in the Field of Public Safety

In the field of public safety, various indicators show

sustained growth of community-based digital platforms.

Among them, Life360 reports more than 50 million active

users, with presence in approximately one out of nine families

in the United States, according to company data (Life360,

2023).

Another relevant case is the Citizen application, designed

for real-time incident notifications, which recorded more than

5 million active users in 2020 and was present in over 60 U.S.

cities, according to Bradbury (2025). However, these data

must be interpreted with caution, as they do not originate

from official public safety agencies but rather from reports

disseminated by the financial-technology sector. This

suggests primarily market growth and increases social

visibility of these platforms, rather than direct validation of

their impact on safety.

On this matter, although the expansion of these

technologies may be positive as a complementary tool to

support public safety, there is still no conclusive evidence

demonstrating their effective integration into official

emergency services such as 911. Nor is there solid proof that

their widespread use directly increases perceptions of

protection or objective levels of public safety.

DISCUSSION OF FINDINGS

The results of the review highlight a central paradox: while

mobile applications demonstrate high functional efficacy and

sustained growth in terms of adoption and market expansion,

their social impact remains conditioned by profound

inequalities in access, institutional trust, and systemic

integration (Teke et al., 2025; Wen & Tian, 2024). In

particular, empirical evidence from the United States shows

that racial minorities, rural communities, and households with

lower socioeconomic status face significant barriers to

accessing and using these technologies, which limits their

effective social coverage. This tension constrains their reach as

universal devices of emotional and physical protection.

Concerning this, the literature agrees that the consolidation

of these technologies requires institutional validation

strategies, through their formal incorporation into public

policies, school programs, primary healthcare services, and

municipal security plans (McCloud et al., 2020; Hernandez &

Roberts, 2018). Data on mental health applications indicate

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DOI:

LATIN-AMERICAN JOURNAL OF COMPUTING (LAJC), Vol XIII, Issue 2, July 2026

https://doi.org/10.33333/lajc.vol13n2.05

D. Mattera,

“Mobile Applications in Mental Health and Public Safety: Challenges and Gaps in Digital Transformation”,

Latin-American Journal of Computing (LAJC), vol. 13, no. 2, 2026.

that, despite high smartphone ownership, only a limited

percentage of individuals with diagnosed disorders access and

sustain their use, underscoring the need for interventions that

combine institutional recommendation, digital education, and

continuous support. Official endorsement by governments,

hospitals, and educational systems emerges as a key factor in

strengthening social trust and promoting sustained use.

Another critical axis is interoperability with public

services. Integration with emergency hotlines, healthcare

centers, social assistance networks, and law enforcement

agencies would allow platforms such as Life360 and Citizen to

evolve from isolated tools into genuine digital infrastructures

of social protection (EENA, 2023; United States Government,

2025). However, it should be noted that penetration data for

Life360 and Citizen come primarily from commercial reports,

which limits the possibility of drawing definitive conclusions

about their actual operational impact. Strategic social

integration, through mechanisms of community participation

and digital support networks, could foster their appropriation

without falling into addictive dynamics (Elphick et al., 2021).

Regarding future trends (2025–2030), the field of mental

health is moving toward intelligent personalization, driven by

emotional AI, convergence with wearable devices, and the

consolidation of hybrid therapy models combining human

professionals and automated systems (Luxton et al., 2016;

Hwang et al., 2021). However, the effectiveness of these

innovations will depend on overcoming structural barriers of

access, digital literacy, and socioeconomic inequality, so that

benefits are not concentrated exclusively in privileged

segments. In parallel, the public safety sector is advancing

toward predictive alert systems, interoperability with urban

services, and the strengthening of neighborhood collective

intelligence (Life360, 2023; Bradbury, 2025). Yet, evidence of

direct operational impact remains limited and heterogeneous,

requiring longitudinal and comparative evaluations to validate

the real benefits in public safety.

At the same time, the advancement of these technologies

intensifies debates on surveillance, algorithmic bias, and data

governance (Kitchin, 2014; WHO, 2022). Ethical regulation

and institutional responsibility thus emerge as indispensable

conditions for these applications to consolidate as legitimate,

inclusive, and socially sustainable tools (Mihale-Wilson et al.,

2025).

Within this framework, the reviewed literature emphasizes

that the social sustainability of these platforms depends not

only on data protection and anonymization, but also on

strategies of community participation and inclusive design that

take into account cultural, linguistic, and socioeconomic

differences.

CONCLUSIONS

This study, based on a narrative and documentary review

of scientific literature, institutional reports, and representative

digital platforms, aimed to analyze the adoption, impact, and

challenges of mobile applications in the fields of mental health

and public safety, with particular emphasis on the United States

context. This methodology allowed for the identification of

usage patterns, structural gaps, operational limitations, and

opportunities for institutional integration of these technologies.

The findings demonstrate that mobile applications

constitute a critical digital infrastructure for the comprehensive

protection of citizens, articulating technology, community

participation, and social inclusion potential. However, their

effective social impact is conditioned by inequalities in access,

digital literacy, institutional trust, and fragmented

interoperability with public systems. Racial minorities, rural

communities, and households with lower socioeconomic status

face significant barriers to fully benefiting from these tools,

limiting their reach as universal devices of emotional and

physical protection.

The review shows that the consolidation of these

technologies requires institutional validation, through their

incorporation into public policies, educational programs,

primary healthcare services, and municipal security plans.

Likewise, interoperability with public services, community

participation, and strategic social integration are identified as

key factors to transform these platforms from isolated tools

into sustainable and socially inclusive digital infrastructures.

Regarding future trends (2025–2030), the field of mental

health is oriented toward intelligent personalization,

convergence with wearable devices, and hybrid therapy

models, while public safety is advancing toward predictive

alerts, urban interoperability, and the strengthening of

neighborhood collective intelligence. Nevertheless, the

effectiveness of these innovations will depend on overcoming

existing structural barriers and ensuring ethical regulation, data

protection, and institutional responsibility, to prevent benefits

from being concentrated exclusively among privileged

segments.

In summary, mobile applications should not be considered

merely technological products, but rather vehicles of emotional

resilience, situational prevention, and collaborative

governance. Their social and functional sustainability requires

comprehensive strategies that combine inclusive design,

institutional validation, technical interoperability, and digital

inclusion policies, enabling their benefits to be distributed

equitably and contributing to the digital transformation of

social protection.

USE OF ARTIFICIAL INTELLIGENCE TOOLS

The author declares that during the preparation of this

manuscript, an artificial intelligence-based tool was used

exclusively for translation. This tool was employed to improve

linguistic quality and readability, while the scientific content,

data analysis, interpretations, and conclusions are the sole

responsibility of the author.

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AUTHORS

Diego Mattera, in terms of academic training, holds a Bachelor’s degree

in Criminalistics and a Master’s degree in Criminology, Delinquency,

and Victimology from the Universidad Internacional de Valencia,

together with additional postgraduate studies in Cybersecurity,

Criminal Proﬁling, and Cybercrime Investigation. He has extensive

experience in law enforcement, complex crime investigation, and

fraud prevention. He began his career within the Argentine security

forces, where he managed criminal complaints, ethical violations, and

forensic procedures such as ﬁngerprint extraction. Subsequently, at

the

Interpol headquarters, he carried out complex investigations into

organized crime, employing intelligence tools, databases, and

criminal proﬁling methodologies. His work included the preparation

of comprehensive reports and coordination with international

policing bodies. He currently works as a researcher in the ﬁeld of

Fraud Prevention in the private sector, where he analyzes cases of

fraud, theft, and losses through advanced systems such as TMS/WMS

and satellite monitoring, while also advising on preventive strategies

for logistics operations.

Diego Mattera

D. Mattera,

“Mobile Applications in Mental Health and Public Safety: Challenges and Gaps in Digital Transformation”,

Latin-American Journal of Computing (LAJC), vol. 13, no. 2, 2026.