Effectiveness of School-Based Suicide Prevention Programs for Adolescents: A Systematic Review

Article information

J Korean Acad Psychiatr Ment Health Nurs. 2025;34(1):91-103
Publication date (electronic) : 2025 March 31
doi : https://doi.org/10.12934/jkpmhn.2025.34.1.91
1Professor, Department of Nursing, Chonnam National University, Gwangju, Korea
2PhD Student in Counseling Psychology, Department of Education, Chonnam National University, Gwangju, Korea
3Integrated PhD Student & Researcher, Department of Nursing, Chonnam National University, Gwangju, Korea
Corresponding author: Ryu, Hyunsoo Department of Nursing, Chonnam National University, 160 Baekseo-ro, Dong-gu, Gwangju 61469, Korea. Tel: +82-62-530-4966, Fax: +82-62-220-4544, E-mail: 206922@chonnam.edu
- This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (grant number RS-2022-NR075804)
Received 2024 December 11; Revised 2025 March 12; Accepted 2025 March 21.

Abstract

Purpose

This study aimed to systematically evaluate school-based suicide prevention programs for adolescents, focusing on their impact on suicide attempts, knowledge and attitudes about suicide, and help-seeking behaviors.

Methods

A systematic review was conducted following PRISMA guidelines. Databases searched included PubMed, Cochrane Library, EMBASE, PsycINFO, CINAHL, KMBASE, KoreaMed, and ScienceON. Randomized controlled trials of school-based interventions for middle and high school students were included. The Risk of Bias 2.0 tool was used to assess study quality.

Results

Out of 1,738 screened records, eight studies met the inclusion criteria. SOS (Signs of Suicide) and SEYLE (Saving and Empowering Young Lives in Europe) programs significantly reduced suicide attempts by 40% and 55%, respectively. Sources of Strength improved help-seeking behavior (ES=0.62, p<.001), though results were inconsistent across interventions. All programs enhanced knowledge and attitudes about suicide, but methodological limitations, such as variability in implementation and reporting, affected reliability.

Conclusion

School-based suicide prevention programs effectively reduce suicide attempts and improve awareness but show mixed results for help-seeking behaviors. Standardized, scalable interventions and rigorous evaluations are needed to enhance their impact.

INTRODUCTION

Adolescence is a critical developmental stage characterized by significant psychological, emotional, and physical changes. These changes are often associated with stress from identity formation, academic pressures, and social relationships [1]. Such factors can increase the risk of emotional instability and mental health challenges, including depression and suicidal ideation [2]. Mental health issues during adolescence can have enduring consequences on individual well-being and impose significant burdens on public health systems. Therefore, targeted interventions are essential to address these risks effectively.

Across the globe, one of the most common causes of adolescent mortality is suicide. In South Korea, the youth suicide rate is significantly higher than the average among member countries of the Organization for Economic Cooperation and Development (OECD)[3]. This heightened vulnerability is attributed to adolescents' developmental transitions and increased emotional sensitivity [4]. Adolescents who feel trapped in their environment-such as at school or home-may perceive suicide as their only escape, increasing the likelihood of suicide attempts [5]. Addressing suicide prevention in this population is not only an individual concern but also a societal imperative, requiring evidence-based strategies to mitigate risk factors and strengthen protective mechanisms [6].

Schools provide a uniquely accessible and structured environment for suicide prevention efforts [7]. Universal prevention, which aims to reduce risk factors and promote mental well-being across entire populations regardless of individual risk, targets the broader student population in school-based programs by reducing stigma and promoting mental health awareness [8]. Furthermore, integrating suicide prevention programs into students' daily routines enables early detection and intervention for suicide-related behaviors [9].

Systematic reviews of adolescent suicide prevention programs have revealed several limitations. While previous studies have examined a broad age range, they have not provided sufficient insight into age-specific interventions [10]. Additionally, much of the existing research has focused primarily on gatekeeper training programs for educators and counselors, with limited attention given to student-targeted interventions [11]. Prior research evaluated programs with combined educational and screening components [12], but without separate assessments, the individual impact of each remains unclear. These gaps highlight the need for more targeted research on the direct effects of school-based suicide prevention programs specifically designed for adolescents.

Several school-based suicide prevention programs have been widely implemented to address adolescent suicide risk. The Signs of Suicide (SOS) program, integrates two key suicide prevention strategies: raising awareness through educational curricula and screening for depression and other suicide risk factors [A1-A4]. Curriculumbased suicide prevention programs provide structured educational interventions aimed at increasing students' awareness of suicide risk factors and fostering help-seeking behaviors [A5,A6]. The Saving and Empowering Young Lives in Europe (SEYLE) program is a multicenter, cluster-randomized trial designed to evaluate the effectiveness of school-based interventions in reducing suicidal behavior [A7]. Sources of Strength is a peer-led suicide prevention program that enhances protective factors by training peer leaders to promote mental health awareness and deliver schoolwide messaging [A8]. Furthermore, prior systematic reviews [7,12] have largely included diverse study designs, such as non-randomized controlled trials (NRCTs), observational studies, and quasi-experimental designs. While these methodologies provide valuable insights, randomized controlled trials (RCTs) remain the gold standard for assessing program effectiveness. To address these limitations, this study systematically reviewed randomized controlled trials (RCTs) to ensure methodological rigor and minimize bias [13]. Using the Risk of Bias 2.0 (RoB 2.0) framework, this review systematically evaluated the structure, components, and effectiveness of school-based suicide prevention programs for adolescents. The findings are intended to guide the creation of developmentally appropriate strategies to improve adolescent mental health and prevent suicide.

Therefore, this study systematically evaluates the structure, components, and effectiveness of school-based suicide prevention programs for adolescents, with a focus on their impact on suicide attempts, knowledge or attitudes about suicide, and help-seeking behaviors.

METHODS

1. Study Design

This study adopted a systematic review methodology to approach to explore the features and effectiveness of school-based suicide prevention programs for adolescents. The review followed the methodological principles by the Cochrane Handbook for Systematic Reviews of Interventions [14] and complied with PRISMA 2020 and EQUATOR guidelines to ensure transparency, methodological rigor, and reproducibility [15].

2. Eligibility Criteria

The following inclusion criteria were applied: (a) Participants: Adolescents aged 12~18 years enrolled in middle or high school; (b) Intervention: School-based suicide prevention programs encompassing educational interventions, gatekeeper training, counseling, and peer-based or skills-building activities, including but not limited to roleplaying, social connectedness training, and stigma reduction exercises; (c) Comparison: Studies incorporating control groups; (d) Outcomes: Quantitative assessments of program effectiveness; and (e) Study Design: RCTs.

Studies that did not fulfill all of the inclusion criteria, such as interventions conducted outside school environments or targeting individuals beyond the defined age group were excluded from the review. Furthermore, NRCTs, reviews, study protocols, editorials, reports, conference proceedings, and grey literature were excluded to minimize selection bias and strengthen internal validity.

3. Information Sources and Search Strategy

The databases PubMed, Cochrane Library, EMBASE, PsycINFO, CINAHL, KMBASE, KoreaMed, and Science ON were systematically searched without temporal restrictions up to July 26th, 2023. Search terms included combinations of "adolescent," "teen," "youth," "suicide prevention," "school mental health," and "gatekeeper training." Boolean operators (AND, OR) were applied to refine the search strategy, incorporating both Medical Subject Headings (MeSH) terms and free-text keywords tailored to each database. The search strategy collaboratively developed and independently implemented by three researchers to ensure comprehensiveness and accuracy.

4. Selection Process

The study selection process was carried out in three stages by three researchers in three stages to ensure rigor and reliability. First, duplicate records were removed using EndNote 21 and manually verified. Inclusion criteria were applied during the review of titles and abstracts to identify relevant studies. Full texts of potentially eligible studies were subsequently reviewed to confirm final inclusion. Disagreements regarding study eligibility were resolved through consensus discussions. If disagreements persisted, a third researcher provided additional review to ensure consistency. To enhance the reliability of the selection process, a skilled professional researcher independently verified the final results. The selection process was conducted in accordance with PRISMA guidelines to ensure methodological rigor and transparency.

5. Data Extraction and Analysis

Data extraction and analysis were conducted independently by three researchers using a standardized form aligned with the study objectives. Information was collected on publication details (authors, publication year, country, school grade, and sample size), intervention characteristics (program name, duration, purpose, contents, and delivery methods), and outcome measures (timing of assessments, outcome variables, and statistical significance).

To ensure consistency, the Behavior Change Technique Taxonomy (BCTT) was applied [16]. Instruction-based methods (e.g., lectures) were classified as "Instruction on how to perform a behavior," modeling techniques (e.g., role-playing) as "Modeling or demonstrating the behavior," experiential learning (e.g., simulations) as "Rehearsal and practice," cognitive-emotional engagement (e.g., storytelling, art-based activities) as "Framing and reframing," and social support strategies (e.g., peer mentorship, group discussions) as "Social support (unspecified)" and "Feedback on behavior."

Discrepancies were resolved through discussions. For studies with multiple publications, the most comprehensive data were used. A structured framework categorized and synthesized data, focusing on study details, intervention features, and outcomes. Findings were presented in tabular form for clarity and comparison.

Due to substantial heterogeneity in study designs, components, durations, and outcome measures, a meta-analysis was not conducted.

6. Risk-of-Bias Assessment

The quality of included studies was assessed using the Cochrane Risk of Bias 2.0 (RoB 2.0) tool [10]. Three researchers independently evaluated five bias domains randomization process, deviations from intended interventions, missing outcome data, outcome measurement, and selection of reported results. Each domain was assessed using signaling questions, with response options: 'Yes', 'Probably Yes (PY)', 'Probably No (PN)', 'No', and 'No Information (NI)' [10]. The responses were mapped to a proposed risk-of-bias judgment through an algorithm determined the risk level for each domain, classifying them as 'low risk', 'some concerns', or 'high risk' at the domain level. The overall risk-of-bias judgement follows the criteria as follows. Low risk (low risk of bias for all domains), Some concerns (at least one domain raised concerns, but none were high risk), High risk (at least one domain was high risk or to have some concerns in multiple domains).

RESULTS

1. Study Selection

The study selection process began with the identification of 1,738 records from various databases: PubMed (n=172), Cochrane Library (n=1,145), EMBASE (n=101), CINAHL (n=34), PsycINFO (n=180), KMBASE (n=67), KoreaMed (n=7), and Science ON (n=32). During the initial screening phase, 257 duplicate records were removed using EndNote, and 180 ineligible records were excluded using Excel's conditional formatting. This step left 1,301 records for title and abstract screening. During this phase, 1,228 records were excluded for the following reasons: 14 were not randomized controlled trials (RCTs), 119 did not focus on adolescents, 1,027 were not school-based universal programs or involved ineligible settings, and 68 were not written in English. Consequently, 73 studies were selected for full-text retrieval, of which 43 records could not be obtained. The remaining 30 full-text articles were evaluated for eligibility. Among these, 22 studies were excluded: 14 were not RCTs, one did not focus on adolescents, and 15 were not related to school-based programs. Ultimately, eight studies met all the inclusion criteria and were included in the systematic review. This process ensured methodological rigor and is summarized in the PRISMA flow diagram shown in Figure 1.

Fig. 1.

Flow diagram showing the process of selecting articles for the present study.

2. Quality of the Included Studies

Based on the RoB 2.0 assessment, five studies (62.5%) [A1-A3,A7,A8] were rated as "low risk" in the randomization process (D1), while three studies (37.5%) [A4-A6] were rated as "high risk" due to insufficient information on randomization or baseline comparability. For deviations from intended interventions (D2), seven studies (87.5%) [A1-A4,A6-A8] were rated as "low risk" due to proper blinding or appropriate statistical adjustments, while one study [A5] had "some concerns" due to unaddressed awareness of group assignments by participants or intervention providers. Bias related to missing outcome data (D3) was assessed, with five studies (62.5%) [A2-A4,A7, A8] were judged to be at "low risk," while one study (12.5%) [A1] had "some concerns due to lack of clarity regarding reasons for missing data." In contrast, two studies (25%) [A5,A6] were rated as "high risk" due to significant missing data without corrective measures. For the bias due to the outcome measurement (D4), five studies (62.5%) [A1-A3,A7,A8] were rated as "low risk" due to appropriate and consistent measurement methods. One study (12.5%, [A4]) was rated as having "some concerns", due to insufficient details about measurement consistency, and two studies (25%, [A5,A6]) were rated as "high risk" due to inappropriate methods or potential bias from group assignment awareness. For selective reporting, two studies (25%, [A7,A8]) were rated as "low risk" because their results were based on predefined analytical plans. However, six studies (75%, [A1-A6]) were rated as having "some concerns" due to unclear reporting practices or the potential for selective reporting.

The overall risk of bias across the included studies was "high risk". While the majority of studies demonstrated methodological rigor in key areas such as randomization and intervention control, issues related to missing data, outcome measurement, and selective reporting were observed in a significant number of studies, particularly those rated as "high risk" in specific domains [A4-A6]. These findings highlight the need for caution when interpreting results, and future research should prioritize improving study design by addressing biases in randomization, intervention implementation, outcome measurement, and selective reporting to enhance the reliability of findings. A detailed summary of these results is provided in Figure 2.

Fig. 2.

RoB 2 Summary & Traffic-light plot of included studies.

3. Characteristics of the Participants and Studies

Among the included studies, one study [A7] focused on adolescents aged 14~16 years across multiple European countries. The remaining studies targeted school populations in the United States, with six studies involving high school students [A1-A3,A5-A7] and one study involving middle school students [A4]. Sample sizes varied significantly, ranging from 200 participants [A5] to 8,000 participants [A6]. Intervention and control groups were generally evenly distributed, with approximately 50% of participants assigned to each group. The included studies were published between 1991 and 2016. Among them, one study was conducted in Europe, while the remaining seven studies were conducted in the United States. A detailed summary of study characteristics, including authors, publication year, country, school grade, and sample size, is provided in Table 1.

Characteristics of Participants, Interventions, and Measurement

4. Characteristics of the Interventions

The studies included in this review exhibited considerable variation in the SOS, Curriculum based Suicide Prevention, SEYLE, Sources of Strength program's duration, purpose, content, and delivery methods of interventions. Most programs such as SOS [A1-A4] and curriculum-based programs [A5,A6](75%), lasted between one to two hours. Interventions, such as Sources of Strength [A8] lasted 4 hours. Similarly, the SEYLE [A7] program, lasted five hours over multiple sessions.

The purpose of each program was closely aligned with their respective purposes. For example, SOS [A1-A4] aimed to reduce suicide attempts by combining screening, stigma reduction, and the encouragement of help-seeking behaviors. Curriculum-based programs [A5,A6] focused on increasing knowledge of mental health warning signs and available resources. Meanwhile, SEYLE [A7] placed greater emphasis on enhancing resilience and mental health literacy. In contrast, Sources of Strength [A8] adopted a unique approach, empowering peer leaders to strengthen social connections and foster trust between youth and adults.

In terms of delivery methods, role-playing emerged as the most commonly employed technique, utilized by 87.5% of programs [A1-A7]. Structured lectures (62.5%, [A1-A6]) were another prevalent approach, often supplemented by group discussions. Simulation exercises and media integration (25.0%, [A5,A6]) were used to enhance experiential learning, while creative techniques, such as art-based expression and storytelling (25.0%, [A7,A8]), were also incorporated. Peer mentorship (12.5%, [A8]) and group activities (12.5%, [A8]) were included to foster peer support and engagement. A detailed summary of intervention is provided in Table 1.

5. Characteristics of Outcome Measures

The interventions were assessed based on three primary outcomes: (1) reductions in suicide attempts or ideation, (2) improvements in mental health knowledge or attitudes, and (3) changes in help-seeking behaviors. In terms of suicide attempts and ideation, the SOS program [A1-A4] demonstrated significant reductions in suicide attempts, with effect sizes (ES) ranging from -2.94 to -2.00 (p<.05). Notable reductions in suicide ideation were also observed, with ES values of -1.06 (p<.05) [A1] and -1.85 (p<.05) [A2]. However, for [A4], while the study suggested reductions in suicide attempts, the reported effect sizes for suicidal ideation (ES=-0.60, p>.05) and suicide planning (ES=-0.41, p>.05) did not reach statistical significance. Moreover, any suicidal behavior was reported with an ES of 1.15 (p>.05), indicating that the intervention effect was not consistent across different measures of suicidal risk. The SEYLE program [A7] reported a 55.0% reduction in suicide attempts (Odds Ratio [OR]=0.45, p=.014) and a 50.0% reduction in severe suicidal ideation (OR=0.50, p=.02). Curriculum-based programs [A5,A6] also demonstrated reductions in reducing stigma, with the experimental group reporting a 10.5% incidence compared to 12.3% in the control group, representing a modest -1.8% relative decrease in the experimental group. However, these reductions were less pronounced compared to those observed in other interventions.

Regarding knowledge and attitudes, all programs showed measurable improvements. The SOS program [A1-A4] recorded substantial gains in knowledge of suicide, with ES values of 9.83 (p<.05) [A1], 6.32 (p<.05) [A2], 5.00 (p<.05) [A3], and 2.24 (p<.05) [A4].

Improvements in attitudes of suicide were smaller but statistically significant, ranging from ES=1.44 (p>0.05) [A4] to 6.71 (p<.05) [A2]. Curriculum-based programs [A5,A6] reported moderate gains in knowledge, including a 12.1% increase in understanding risky behaviors (experimental: 66.2%, control: 54.1%) and a small increase in comfort with seeking help (+0.5%). The SOS program [A8] achieved the largest impact with peer leaders showing substantial improvements in help for suicidal peers (ES=0.75, p<.001).

The timing of assessments varied across studies. Two studies (25%, [A1,A2]) conducted assessments only postintervention. Two studies (25%, [A3,A4]) measured outcomes pre and post intervention. Four studies (50%, [A5-A8]) assessed participants at pre-intervention, post-intervention, and follow-up, with follow-up periods of three to 18 months.

The findings for help-seeking behaviors were inconsistent across programs. The SOS program [A1-A4] did not show significant improvements in help-seeking behaviors, with ES values of -0.08 (p>.05) [A1] and -0.46 (p>.05) [A4]. Curriculum-based programs [A5,A6] showed slight improvements, including a 7.6% increase in hotline use (experimental: 41.2%, control: 33.6%) and a small increase in comfort with seeking help (+0.5%). In contrast, the Sources of Strength program [A8] significantly improved helpseeking behaviors and increased trust in adults among peer leaders (ES=0.62, p<.001). SEYLE [A7], however, reported limited improvements in help-seeking behaviors among the general population. A detailed summary of measurements and outcomes can be found in Table 1.

DISCUSSION

This study employed a systematic review methodology to evaluate the characteristics and effectiveness of schoolbased suicide prevention programs for adolescents, focusing specifically on their impact on suicide attempts or ideation, mental health knowledge or attitudes about suicide, and help-seeking behaviors.

According to the study selection and analysis of the quality of included studies, the findings reveal substantial gaps in the literature, as only eight studies met the inclusion criteria. This underscores the urgent need for more rigorous research to develop standardized, scalable, and evidence-based programs, ensuring equitable access to effective suicide prevention resources across diverse educational settings [17]. Critical methodological concerns were also identified. While some studies demonstrated a low risk of bias in randomization and intervention control, others exhibited limitations such as missing data, selective reporting, and inconsistent measurement methods. These issues may undermine the reliability and generalizability of findings, as bias in mental health interventions can distort interpretations of effectiveness [18]. To address these concerns, future research should adhere to rigorous methodological standards, including clearly defined randomization processes, comprehensive strategies for managing missing data, and transparent reporting practices, as emphasized by Moher et al. [19]. Strengthening methodological rigor will enhance the reliability of findings and contribute to the development of more effective schoolbased suicide prevention programs.

Regarding participant and study characteristics, developmental factors played a critical role in intervention effectiveness. Programs for high school students primarily relied on psychoeducational approaches and cognitivebased strategies, whereas interventions for younger adolescents incorporated interactive, emotionally engaging techniques such as role-playing and storytelling [A4,A7]. These findings align with previous research emphasizing the need for developmentally tailored interventions that consider cognitive maturity, emotional regulation skills, and appropriate engagement strategies [20]. Geographic distribution also influenced intervention outcomes. While SEYLE [A7] was conducted across multiple European countries, most studies were based in the United States, raising concerns about the generalizability of findings across different educational and mental health systems. Variability in mental health literacy, access to school-based resources, and cultural attitudes toward suicide prevention may affect program effectiveness. Research suggests that culturally tailored interventions improve engagement and outcomes, particularly in diverse school settings where stigma and barriers to mental health care differ significantly [21]. Sample size and study design also played a role in intervention effectiveness. Larger studies, such as A6 with 8,000 participants, provided strong statistical power but faced challenges in maintaining implementation fidelity across diverse school settings. Conversely, smaller studies allowed for more controlled assessments but had limited generalizability. Future research should adopt mixed-methods approaches that assess both quantitative outcomes and qualitative participant experiences to provide a comprehensive evaluation of intervention impact [22].

Based on the analysis of intervention characteristics, significant gaps exist in current suicide prevention strategies, particularly the lack of standardized, universally applicable school-based approaches. While structured programs provide effective prevention, their impact varies by duration, content, and delivery methods [23]. Shortterm programs like SOS (1~2 hours) efficiently addressed immediate concerns, whereas longer interventions like SEYLE, spanning multiple sessions, showed sustained benefits such as improved coping skills and emotional resilience. This suggests that program duration is critical, with extended interventions and follow-up reinforcement enhancing knowledge retention and long-term behavioral change [24]. A hybrid model-combining an intensive workshop with periodic booster sessions could balance time constraints with program effectiveness [25]. Content and delivery methods also influenced outcomes. Psychoeducational approaches improved mental health literacy and reduced stigma. Lecture-based education, combined with interactive discussions, raised awareness, while experiential learning (e.g., role-playing, used in 87.5% of programs) fostered emotional resilience and decision-making skills [26]. Creative methods, such as storytelling and artbased expression, enhanced engagement and relatability [A8]. Given that adolescence is a crucial period for cognitive and emotional development [1], integrating structured mental health education into school curricula can strengthen resilience and reduce suicide risk. These findings underscore the need to tailor interventions to developmental stages while maximizing accessibility and sustainability in school settings

According to the analysis of outcome measures, intervention outcomes were categorized into three domains: reduction in suicide attempts or ideation, improvement in mental health knowledge or attitudes, and changes in help-seeking behaviors. Effectiveness varied; SEYLE reduced suicide attempts by 55%, demonstrating strong preventive impact [A7]. In contrast, SOS, designed for younger adolescents, had limited success in this area, suggesting that developmental factors and intervention duration are key determinants [A4,A27]. While school-based programs improved mental health literacy and help-seeking behavior, their success depended on factors such as age group, implementation methods, and supportive components like parental involvement and follow-up sessions. Some studies [A1-A5,A8] assessed outcomes within 1~6 months, leaving long-term effects uncertain. Without follow-up, students may revert to prior behaviors, reducing intervention sustainability. Future research should prioritize extended follow-ups to determine whether initial gains translate into lasting behavioral changes. Reinforcement mechanisms, such as refresher courses and peer support networks, could help maintain positive outcomes.

While psychoeducational interventions increased awareness, attitudinal shifts were inconsistent [A4], highlighting the need for complementary strategies to reinforce behavioral change. Psychological model provide insight into intervention effectiveness. The Health Belief Model (HBM) suggests that individuals take preventive action when they perceive higher personal risk and tangible benefits [28]. Given the mixed results in help-seeking behavior, integrating these models could optimize intervention strategies. Help-seeking improvements varied. Sources of Strength increased peer leaders' willingness to seek help, while SOS showed mixed results [A1-A4,A8]. Awareness alone is insufficient; interventions must actively reduce stigma and teach skills for seeking help. Steinberg [1] notes that help-seeking is shaped by individual factors (e.g., self-efficacy, stigma) and systemic factors (e.g., resource availability, school climate). Addressing these barriers requires normalizing help-seeking through peer testimonials and stronger student-adult relationships [29].

Future research should incorporate objective measures, such as school counseling utilization rates, to assess program impact more accurately. Emerging evidence suggests that digital interventions, such as mobile apps, online counseling, and AI-driven mental health tools, could complement traditional programs [21]. These scalable, cost-effective solutions enhance accessibility, particularly for students hesitant to seek face-to-face help. A hybrid approach combining digital resources with in-person interventions may improve engagement and effectiveness. Psychiatric-Mental Health (PMH) nurses could play a crucial role in addressing intervention barriers [30]. Their expertise in mental health education, crisis intervention, and counseling facilitates early identification of at-risk students and promotes help-seeking within schools. Collaboration between PMH nurses, educators, parents, and community organizations could enhance program sustainability and impact. However, many programs lack skill-building activities specifically targeting help-seeking behaviors. To maximize effectiveness, interventions should integrate structured peer support training and direct engagement with mental health professionals.

In summary, this study highlights the effectiveness, challenges, and future directions of school-based suicide prevention programs for adolescents. While these programs show promise, gaps remain in implementation quality, long-term sustainability, and standardized approaches. Effective interventions should incorporate structured implementation, interactive and peer-based methods, follow-up reinforcement, and involvement of trusted adults. To enhance real-world impact, policymakers should consider mandating mental health education, increasing funding, establishing national support standards, and fostering school-community partnerships. Expanding the evidence base through longitudinal studies and international collaboration will be crucial for developing adaptable and effective prevention strategies.

This study identifies several limitations. The limited number of included studies limits generalizability, and variability in implementation quality and reporting practices complicates synthesis, potentially introducing bias. Additionally, restricting the review to RCTs may limit comprehensiveness. Future research should conduct a meta-analysis once more homogeneous RCTs become available, enabling precise effect size estimations and stronger conclusions.

CONCLUSION

This study systematically reviewed the effectiveness of school-based suicide prevention programs for adolescents, focusing on suicide attempts or ideation, mental health knowledge or attitudes, and help-seeking behaviors. Interventions were effective in improving suicide-related knowledge; however, their impact on suicidal ideation, planning, and behaviors was less conclusive. Several studies showed limited or non-significant reductions in suicidal thoughts or behaviors, suggesting these programs may primarily enhance awareness rather than significantly prevent suicide outcomes. Additionally, the effectiveness in fostering help-seeking behaviors remains uncertain. Methodological limitations further reduced result reliability. Future research should prioritize developing standardized, tailored interventions for diverse adolescent populations, integrate community resources, and ensure rigorous evaluation to enhance effectiveness and sustainability in educational settings.

SUPPLEMENTARY MATERIAL

Supplementary file 1.

Searching Strategies

jkpmhn-2025-34-1-91-Supplementary-1.pdf

Notes

The authors declared no conflicts of interest.

AUTHOR CONTRIBUTIONS

Conceptualization or/and Methodology: Kweon, Y-R, Kwon, Y-M, & Ryu, H

Data curation or/and Analysis: Kweon, Y-R, Kwon, Y-M, & Ryu, H

Funding acquisition: Kweon, Y-R

Validation: Kweon, Y-R & Ryu, H

Visualization: Kweon, Y-R & Ryu, H

Writing: original draft or/and review & editing: Kweon, Y-R, Kwon, Y-M, & Ryu, H

Acknowledgements

We extend our heartfelt gratitude to Dr. Kim, Mina for her valuable support during the data collection process of this study.

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Appendix

Appendix 1. Studies selected for the analysis

jkpmhn-2025-34-1-91-Appendix-1.pdf

Article information Continued

Fig. 1.

Flow diagram showing the process of selecting articles for the present study.

Fig. 2.

RoB 2 Summary & Traffic-light plot of included studies.

Table 1.

Characteristics of Participants, Interventions, and Measurement

Authors (year) Participants
Interventions
Measurement
Country School (grade or age) Sample size Program name Duration Purpose Contents Delivery methods Timing of assessments Variables Statistical significance
[A1] Aseltine et al. (2007) USA High school students (Grades 9~12) E:2,000 Signs of suicide (SOS) 2 hours Prevent suicide attempts and ideation Screening for depression Role-play video-based learning workshops lecture Post only (1) Suicide attempts or ideation Suicide attempts (ES=-2.94, p<.05), suicide ideation (ES=-1.06, p<.05),
C: 2,000 Foster help-seeking behaviors Reducing stigma through education (2) Knowledge and attitude Knowledge of suicide (ES=9.83, p<.001), attitudes of suicide (ES=5.33, p<.001);
(3) Help-seeking behavior Help-seeking - Treatment (ES=-0.08, p>.05),
- Adult (ES=0.73, p>.05)
- Adult/Friend (ES=-0.36, p>.05)
[A2] Asteline & DeMartino (2004) USA High school students (Grades 9~12) E:1,050 Same as above Same as above Same as above Same as above Same as above Post only Same as above Suicide attempts (ES=-2.26, p<.05), suicide ideation (ES=-1.85, p>.05),
C: 1,050 Knowledge of suicide (ES=6.32, p<.05), attitudes of suicide (ES=6.71, p<.05),
Help-seeking - Treatment: (ES=-1.20, p>.05),
- Adult: (ES=-1.60, p>.05);
- Adult/Friend: (ES=-1.60, p>.05)
[A3] Schilling et al. (2016) USA High school students (Grades 9~12) E: 700 Same as above Same as above Same as above Same as above Same as above Pre and Post Same as above Suicide attempts (ES=-2.00, p<.05), suicide planning (ES=-2.60, p<.05), Suicidal ideation (ES=-0.33, p>.05),
C: 500 Knowledge of suicide: (ES=5.00, p<.05), attitudes of suicide (ES=1.00, p<.05)
[A4] Schilling et al. (2014) USA Middle school students (Grades 6~8) E: 300 Same as above Same as above Same as above Same as above Same as above Pre and Post Same as above Suicidal ideation (ES=-0.60, p>.05), suicide planning (ES=-0.41, p>.05), Any suicidal behavior (ES=1.15, p>.05),
C: 90 Knowledge of suicide: (ES=2.24, p<.05), attitudes of suicide (ES=1.44, p>.05),
Help-seeking - Parents: (ES=-0.46, p>.05),
- Friends: (ES=-0.46, p>.05)
[A5] Shaffer et al. (1991) USA High school students (Grades 9~12) E: 1,000 Curriculum-based suicide prevention 1 hour Increase awareness of suicide risk factors and foster help-seeking behavior Educating on warning signs Simulation exercises Pre, Post, 3~Month Follow-up (1) Stigma Reducing stigma (-1.8%, E: 10.5%, C: 12.3%), increasing knowledge of risky behaviors (+12.1%, E: 66.2%, C: 54.1%),
C: 1,000 Reduce stigma by normalizing mental health conversations Accessing mental health resources Media integration (2) Knowledge of risky behaviors Help-seeking behaviors: (-1.0%, E: 36.9%, C: 37.9%),
Addressing myths about suicide Q&A sessions (3) Help-seeking behavior Suggesting hotline use: (+7.6%, E: 41.2%, C: 33.6%),
Lecture Role-play comfort in asking for help: (+0.5%, E: 93.0%, C: 92.5%)
[A6] Vieland et al. (1991) USA High school students (Grades 9~12) E: 200 1.5 hours Pre, Post, 18~Month Follow-up (1) Kept it a secret Kept it a secret: (+10.1%, E: 29.3%, C: 19.2%), talked to a friend without adult help: (+9.9%, E: 56.1%, C: 46.2%),
C: 200 (2) Help-seeking behavior Told a friend to seek help: (-4.5%, E: 3.5%, C: 8.0%, p<.05),
Talked to a teacher: (+3.2%, E: 4.6%, C: 1.4%), talked to a parent: (-5.3%, E: 40.0%, C: 45.3%)
[A7] Wasserman et al. (2015) Europe (10 countries) Adoles- cents (14~16 years) E: 6,000 Saving young lives in europe (seyle) 5 hours Promote mental health literacy Identifying and responding to warning signs Role-play Pre, Post, 12~Month Follow-up (1) Suicide attempts and Suicide ideation 12-month suicide attempts (Odd Ratio=0.45, 95% CI=0.24~0.85, p=.014),
C: 2,000 Reduce suicidal ideation and behaviors by fostering resilience Breaking stigma through evidencebased discussion Gamification
Art-based expression 12~month severe suicidal ideation (Odd Ratio=0.50, 95% CI=0.27~0.92, p=.02)
Discussions
[A8] Wyman et al. (2010) USA High school students (Grades 9~12) E: 1,500 Sources of strength (strength-based prevention) 4 hours Build social connectedness and strengthen protective factors Rejecting 'code of silence' Peer mentorship Pre, Post, 6~Month Follow-up (1) Social connectedness - Peer Leaders: Help for suicidal peers (ES=0.75, 95% CI=0.53~0.97, p<.001), Social connectedness: Help-seeking from adults: (ES=0.62, 95% CI=0.41~0.84, p<.001),
C: 1,500 Equip students to support distressed peers Teaching peer leaders how to identify and assist distressed peers Creative campaigns (2) Suicide norms and perceptions
Storytelling (3) Peer leader behavior - School Population: Help for suicidal peers (ES=0.63, 95% CI=0.29~0.97, p=.034), social connectedness: help-seeking from adults: (ES=0.58, 95% CI=0.24–0.91, p=.04)
Group activities

C=control group; E=experimental group; ES=effect size; RS=Reduce stigma by normalizing mental health conversations