Communication Predictors of Patient and Companion Satisfaction with Alzheimer’s Genetic Risk Disclosure

Yue Guan, Debra L. Roter, Lori H. Erby, Jennifer L. Wolff, Laura N. Gitlin, J. Scott Roberts, Robert C. Green, Kurt D. Christensen

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

The objective of this study was to identify how features of Alzheimer’s disease (AD) genetic risk disclosure communication relate to patient and visit companion satisfaction. We conducted secondary analyses of 79 session recordings from the fourth REVEAL Study, a randomized-controlled trial of AD genetic risk disclosure among patients with mild cognitive impairment. Patient and companion satisfaction were ascertained from postdisclosure surveys. The Roter Interaction Analysis System (RIAS) was used to code triadic communication between the counselor, patient, and companion. High satisfaction was evident for 24% of patients (N = 19) and 48% of companions (N = 38). Multivariate logistic regressions showed that high patient satisfaction was associated with patients’ expression of emotions (OR = 1.1, 95% CI: 1.0–1.1) and companions’ questions about psychosocial and lifestyle topics (OR = 1.8, 95% CI: 1.1–2.8). High companion satisfaction was positively related to the RIAS overall patient-centeredness score for the session (OR = 4.0, 95% CI: 1.0–15.6) (all p-values <0.05). Communication predictors of patient and companion satisfaction reflect specific or summary indicators of patient-centeredness. Findings also suggest that visit companions positively influence patient satisfaction. The study results support the growing literature and policy attention directed toward delivering family-centered care.

Original languageEnglish (US)
Pages (from-to)807-814
Number of pages8
JournalJournal of health communication
Volume23
Issue number8
DOIs
StatePublished - Aug 3 2018

ASJC Scopus subject areas

  • Health(social science)
  • Communication
  • Public Health, Environmental and Occupational Health
  • Library and Information Sciences

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