Utilising dyads in medicines optimisation and illness management research

Area of Science:

• Health Psychology
• Social Determinants of Health
• Behavioral Medicine

Background:

• Social relationships significantly impact patient physical and mental health.
• Dyadic (couple-level) perspectives are increasingly vital in health research.
• Medicines optimization and illness management are key areas influenced by social dynamics.

Purpose of the Study:

• To introduce and overview the application of dyadic methodologies in medicines optimization and illness management research.
• To highlight the importance of considering both partners within a dyad for comprehensive health studies.
• To provide a framework for utilizing dyadic approaches in clinical and health research settings.

Main Methods:

• Review of dyadic study designs applicable to health research.
• Discussion of recruitment and data collection challenges in dyadic studies.
• Exploration of methodological and substantive considerations for dyadic data analysis.

Main Results:

• Dyadic approaches offer a robust framework for understanding health behaviors and outcomes.
• Effective strategies exist to overcome common challenges in dyadic research recruitment and data collection.
• Specific methodological considerations are crucial for valid dyadic data analysis.

Conclusions:

• Dyadic research is essential for advancing medicines optimization and illness management.
• Adopting dyadic perspectives enhances the understanding of health and illness within social contexts.
• Further research employing dyadic methodologies is recommended to improve patient care and outcomes.