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Record W4406781910 · doi:10.1080/10447318.2025.2453608

Engaging Caregivers in the Design of LifeLink: A Persuasive Mobile Application for Suicide Prevention

2025· article· en· W4406781910 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueInternational Journal of Human-Computer Interaction · 2025
Typearticle
Languageen
FieldPsychology
TopicDigital Mental Health Interventions
Canadian institutionsNova Scotia Health AuthorityDalhousie University
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsPsychologyPsychotherapist

Abstract

fetched live from OpenAlex

Suicide is a complex phenomenon because in addition to the individual who is impacted, its effects seep into many lives including caregivers of the individual experiencing suicidal thoughts and those who die by suicide. Often, caregivers seek help everywhere, but face various challenges including long wait times, difficulty accessing resources quickly, personal struggles with mental health, and time sensitivity. Mobile-health interventions are a promising solution for this, as they are easily accessible, available, geographic location independent and affordable. Many mobile apps for suicide prevention exist. However, not much is known about their design and efficacy, and if these apps address the unique mental health needs of caregivers dealing with suicidal individuals. To address these gaps, we designed LifeLink, a persuasive mobile application (app) specifically for supporting caregivers of individuals experiencing suicidal thoughts. Firstly, we reviewed 25 studies to determine risk factors that are most strongly associated with suicide and considerations for developing technological interventions for suicide prevention. Secondly, we reviewed 80 suicide prevention apps from app stores and academic literature to identify gaps and different persuasive strategies’ implementations using the Persuasive System Design (PSD) model. Thirdly, using the findings from the two systematic reviews, we designed a low-fidelity prototype of LifeLink app, implementing various evidence-based persuasive strategies. Next, using a user-centered design approach, 45 caregivers evaluated the user experience of LifeLink. Finally, we conducted a survey and semi-structured interviews to understand caregivers’ needs when supporting an individual, their assessment of perceived persuasiveness of the app and implemented strategies. Our results reveal that all the persuasive strategies were effective and significantly persuasive. LifeLink was found to be easy to use, engaging, useful, easy to navigate, elicited positive user experience, was helpful and impactful for caregivers. We also conducted a thematic analysis of participants’ qualitative feedback to uncover more insights. Findings from our evaluation demonstrate the potential of LifeLink as a valuable tool for caregivers that can increase mental health literacy and foster a supportive environment.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.804
Threshold uncertainty score0.381

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.062
GPT teacher head0.465
Teacher spread0.404 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it