Assessment of key interviewing factors for research assistants (AKIRA): development of a novel training and evaluation competency-based tool for mental health data collection in community settings.

Data quality is critical in mental health research, but variability in training among those collecting data can undermine research outcomes. In this context, the Assessment of Key Interviewing Factors for Research Assistants (AKIRA) emerges as a novel, competency-based framework specifically designed for interview-based mental health data collection. AKIRA systematically identifies and evaluates key interviewing behaviors across ten domains, highlighting areas of mastery, improvement, and potentially harmful practices. Emphasizing cross-cultural applicability, the tool adapts to diverse research settings, particularly where non-specialist data collectors play central roles. Global mental health services face significant challenges, with treatment rates for conditions such as depression alarmingly low, especially in lower-to-middle income countries. Such disparities underscore the urgent need for evidence-based, culturally sensitive interventions and robust monitoring systems to bridge gaps in mental health care. Despite the growing demand for high-quality data, there is a marked absence of systematic competency assessments for research assistants, contributing to variability and potential bias in data collection processes. AKIRA was developed through an iterative process involving literature reviews, adaptation of existing frameworks for competency assessment, and feedback from key informants. Its pilot testing and ongoing evaluation aim to refine its utility, ensuring that non-specialist data collectors are better prepared to engage with communities and conduct reliable, replicable research. By standardizing interview techniques and addressing the "interviewer effect," AKIRA not only enhances data quality but also facilitates ethical, culturally informed research practices. Future psychometric evaluations and cross-context adaptations, including implementations in the United States, Uganda, and Nepal, promise to further integrate this tool into mental health research infrastructures, ultimately supporting more effective program monitoring and improved mental health outcomes globally. Overall, AKIRA represents a transformative step in standardizing data collection competencies. Its broad adoption could enhance research quality, inform policy decisions, and ultimately contribute to reducing global mental health disparities at scale.