OBJECTIVE: Few studies have examined the triadic communication between patients, spouse caregivers, and nurses in the home hospice setting. Thus, little is known about the types of communication patterns that unfold. The goals of the study were to, first, identify common patterns of communication in nurse-patient-caregiver home hospice visits and, second, to identify nurse, caregiver-patient dyad, and visit characteristics that predict visit communication patterns. METHOD: Nurses (N = 58) and hospice cancer patient and spouse caregiver dyads (N = 101; 202 individuals) were recruited from 10 hospice agencies. Nurses audio recorded visits to patient/caregiver homes from study enrollment until patient death. All patient, caregiver, and nurse utterances from the audio recordings were coded using an adapted Roter interaction analysis system. Using identified codes, cluster analysis was conducted to identify communication patterns within hospice visits. Logistic regression was used with demographic variables to predict visit communication patterns. RESULTS: Six visit communication patterns were identified and were defined largely by 2 dimensions: (1) either the patient, the caregiver, or the patient and caregiver dyad interacting with the nurse and (2) the relatively high or low expression of distress during the visit. Time until death significantly predicted several clusters. CONCLUSION: This study leads the way in outlining triadic communication patterns in cancer home hospice visits. Our findings have implications for nursing education, letting future nurses know what to expect, and lays the foundation for future research to determine effectiveness and interventions to improve health care communication.
OBJECTIVE: Few studies have examined the triadic communication between patients, spouse caregivers, and nurses in the home hospice setting. Thus, little is known about the types of communication patterns that unfold. The goals of the study were to, first, identify common patterns of communication in nurse-patient-caregiver home hospice visits and, second, to identify nurse, caregiver-patient dyad, and visit characteristics that predict visit communication patterns. METHOD: Nurses (N = 58) and hospice cancerpatient and spouse caregiver dyads (N = 101; 202 individuals) were recruited from 10 hospice agencies. Nurses audio recorded visits to patient/caregiver homes from study enrollment until patient death. All patient, caregiver, and nurse utterances from the audio recordings were coded using an adapted Roter interaction analysis system. Using identified codes, cluster analysis was conducted to identify communication patterns within hospice visits. Logistic regression was used with demographic variables to predict visit communication patterns. RESULTS: Six visit communication patterns were identified and were defined largely by 2 dimensions: (1) either the patient, the caregiver, or the patient and caregiver dyad interacting with the nurse and (2) the relatively high or low expression of distress during the visit. Time until death significantly predicted several clusters. CONCLUSION: This study leads the way in outlining triadic communication patterns in cancer home hospice visits. Our findings have implications for nursing education, letting future nurses know what to expect, and lays the foundation for future research to determine effectiveness and interventions to improve health care communication.
Authors: Maaike van der Wel; Doris van der Smissen; Sigrid Dierickx; Joachim Cohen; Peter Hudson; Aline De Vleminck; Lydia Tutt; David Scott; Silvia Di Leo; Caroline Moeller Arnfeldt; Catherine Jordan; Laurel Northouse; Judith Rietjens; Agnes van der Heide; Erica Witkamp Journal: Support Care Cancer Date: 2022-10-12 Impact factor: 3.359
Authors: Maija Reblin; Amy K Otto; Dana Ketcher; Susan T Vadaparampil; Lee Ellington; Richard E Heyman Journal: Psychooncology Date: 2020-06-08 Impact factor: 3.894
Authors: Yael Schenker; Lee Ellington; Lindsay Bell; Erin K Kross; Abby R Rosenberg; Jean S Kutner; Kathleen E Bickel; Christine Ritchie; Dio Kavalieratos; David B Bekelman; Kathleen B Mooney; Stacy M Fischer Journal: J Palliat Med Date: 2020-09-21 Impact factor: 2.947