Couples Coping with Cancer: Implications of Adaptive Process and Relationship Outcomes in Recent Findings for Marriage and Family Therapists and Medical Family Therapists

The majority of patients with cancer experience clinically significant levels of distress (Dyson et al., 2012; Kwak et al., 2013; Yanez, Garcia, Victorson, & Salsman, 2013) that varies by age at diagnosis, cancer type, and psychosocial needs. Across multiple oncology studies, it has been reported that relationships with family and friends are important sources of support throughout the cancer experience (e.g., Goodall, King, Ewing, Smith, & Kenny, 2012; Miedema, Zebrack, 2011). However, a close relationship can also be a source of distress for patients with cancer, particularly those who are emotionally unavailable or unable to handle stress (Synder & Pearse, 2010; Zebrack, Chesler, & Kaplan, 2010). Contributors to the oncology literature suggested that distress levels between patients and their partners are interrelated (Gregorio et al., 2012; Juth et al., 2015; Kim & Given, 2008; Segrin et al., 2007). Dyadic research that includes patients and their partners is necessary for developing programs and interventions better targeted at meeting patients’ and their partners’ needs. Yet, these factors and the exploration of adaptive processes have not been examined among couples who are facing cancer. In light of these facts, several implications are provided for clinical practice, future research, policy, and the field of medical family therapy based on the above-mentioned studies (Rajaei & Jensen, 2020; Rajaei et al., 2021a).

A Practical Tool for Family Assessment Based on the Social Relations Model

An empirically based family assessment can help family therapists understand how a family functions. In systemic therapy a family is seen as a dynamic system in which the family members form interdependent subsystems. The Social Relations Model (SRM) is a useful tool to study such interdependence within a family. According to the SRM, each dyadic score is viewed as the sum of an unobserved family effect, an individual actor and partner effect, and a relation-specific effect. If dyadic data are obtained for a specific family using a round robin design, these different SRM effects can be calculated using an ANOVA-approach. To gain insight into the functioning of a particular family, the family-specific SRM effects can be compared to those from a norm sample and it can be deduced whether that family has deviating scores on a particular SRM effect. Currently, such a family assessment relies on the mean and variance of the SRM ANOVA scores in the norm sample. However, family therapists may not always have access to these data, making the current approach of SRM family assessment not as useful in practice. In this article, we introduce a user-friendly web application that uses an alternative method for SRM family assessment. This alternative strategy requires as input the population parameter estimates of SRM means and variances more commonly described in SRM family literature.