Challenges in the evaluation of suicide prevention measures and quality of suicide data in Germany, Austria, and Switzerland

While some challenges in evaluating suicide prevention measures are inevitable, others can potentially be mitigated. Evaluations could be enhanced by combining traditional and innovative research designs, including intermediate outcomes and factors concerning the implementation process, and employing participatory and transdisciplinary research to engage different stakeholders. Reliable suicide data are essential for identifying trends, supporting research, and designing targeted prevention measures. To improve the quality of suicide data, a standardized monitoring approach, including uniform definitions, trained professionals, and cross-sector agreement on leadership and financing, should be pursued. This study provides actionable recommendations and highlights existing good practice approaches, thereby supporting decision-makers and providing guidance for advancing suicide prevention on a broader scale

Biostatistics · Environmental health · Injury prevention · Medical emergency · Occupational safety and health · Poison control · Psychiatry · Public health · Qualitative research · Quality (philosophy · Social science · Suicide prevention · Homicide, Infanticide, and Child Abuse · Human Factors and Ergonomics · Medicine · Mental Health Treatment and Access · Nursing · Suicide and Self-Harm Studies · Epidemiology

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