Health care today necessitates a group effort, in part, due to the availability of complex interventions. Often measures of central tendency are used to examine groups which can result in misleading interpretations. Interactions within groups can influence outcomes so a multi-level approach to examining individual and dyad contributions is helpful to determine where interventions may be needed. The Social Relations Model (SRM) (Cook & Kenny, 2004) is a mathematical technique used for estimating the variances due to interaction effects from individuals and dyads within the group. This exploratory research used the SRM to examine 43 triads, composed of a patient, telehealth nurse and home helper, from three western U.S. Veterans Health Administration systems. The purpose of this research is to utilize the SRM to examine communication and information integration among individuals and dyads within groups that may influence outcomes in a health care example. Three triads with identical communication and information integration group scores were compared for Perceiver, Target and Relational Effect scores. Results identified individual and relational variances within the groups that may influence satisfaction and self-care outcomes. SRM techniques are beneficial not only to examine existing group interactions but to prevent potential group combinations that may inhibit desirable outcomes in a complex health care environment.
ASJC Scopus subject areas
- Social Psychology
- Sociology and Political Science