Review
Copyright ©The Author(s) 2025.
World J Psychiatry. Aug 19, 2025; 15(8): 107885
Published online Aug 19, 2025. doi: 10.5498/wjp.v15.i8.107885
Table 5 Research limitations and future directions
Limitation
Specific issues
Future research directions
Suggestions for innovative methods
Ref.
Lack of longitudinal dataExisting studies predominantly adopt cross-sectional designs, limiting the ability to capture dynamic relationships between psychosocial factors and treatment adherenceEstablish longitudinal cohorts integrating biomarkers with behavioral monitoringUse mobile health technologies for real-time data collection; adopt mixed-method approaches to capture dynamic fluctuations of mediating variables[100,101]
Methodological constraints in quantifying mediation effectsThe complexity of multiple mediation models challenges traditional statistical methods; failure to account for intergroup heterogeneity may bias effect estimatesDevelop hybrid models integrating computational psychiatry and structural equation modelingUse bias-corrected bootstrap methods to relax normality assumptions in mediation testing; apply Bayesian approaches to improve the accuracy of multilevel mediation models[102-106]
Blind spots in evaluating long-term effects of digital interventionsCurrent digital health studies mainly focus on short-term adherence improvements, lacking exploration of behavior maintenance mechanismsConstruct a "digital intervention life-cycle" evaluation frameworkLeverage blockchain technology for decentralized data tracking; include neuroplasticity markers as biomarkers of long-term intervention efficacy[107-108]
Insufficient comparative research on cross-cultural interventionsLack of systematic comparisons of intervention effectiveness across different cultural contextsDevelop a three-dimensional evaluation framework for cross-cultural intervention outcomesCompare prefrontal–limbic system responses to intervention stimuli across cultural groups; analyze the impact of geographic patterns of community-level stigma on delivery efficiency; evaluate the transferability of cultural archetypes in virtual health communities