OBJECTIVE: The purpose of this investigation was to explicate the content of primary adjuvant treatment consultations in breast oncology and examine the predictive relationships between patient and oncologist consultation factors and patient satisfaction with communication. METHODS: The recorded consultations of 172 newly diagnosed breast cancer patients from four Canadian cancer centers were randomly drawn from a larger subset of 481 recordings and examined by three coders using the Medical Interaction Process System (MIPS); a system that categorizes the content and mode of each distinct utterance. The MIPS findings, independent observer ratings of patient and oncologist affective behavior, and derived consultation ratios of patient centeredness, patient directedness, and psychosocial focus, were used to predict patient satisfaction with communication post-consultation and at 12-weeks post-consultation. RESULTS: Biomedical content categories were predominant in the consultations, accounting for 88% of all utterances, followed by administrative (6%) and psychosocial (6%) utterances. Post-consultation satisfaction with communication was significantly higher for older patients, those with smaller primary tumors and those with longer consultations. Smaller tumor, lack of patient assertiveness during the treatment consultation and having the consultation with a radiation rather than medical oncologist were significantly predictive of greater satisfaction at 12-weeks post-consultation. CONCLUSIONS: Adjuvant treatment consultations are characterized by a high degree of information-giving by the physician, a predominance of biomedical discussion and relatively minimal time addressing patients' psychosocial concerns. Controlled trials are needed to further identify and address the contextual features of these consultations that enhance patient satisfaction. (c) 2009 John Wiley & Sons, Ltd.
OBJECTIVE: The purpose of this investigation was to explicate the content of primary adjuvant treatment consultations in breast oncology and examine the predictive relationships between patient and oncologist consultation factors and patient satisfaction with communication. METHODS: The recorded consultations of 172 newly diagnosed breast cancerpatients from four Canadian cancer centers were randomly drawn from a larger subset of 481 recordings and examined by three coders using the Medical Interaction Process System (MIPS); a system that categorizes the content and mode of each distinct utterance. The MIPS findings, independent observer ratings of patient and oncologist affective behavior, and derived consultation ratios of patient centeredness, patient directedness, and psychosocial focus, were used to predict patient satisfaction with communication post-consultation and at 12-weeks post-consultation. RESULTS: Biomedical content categories were predominant in the consultations, accounting for 88% of all utterances, followed by administrative (6%) and psychosocial (6%) utterances. Post-consultation satisfaction with communication was significantly higher for older patients, those with smaller primary tumors and those with longer consultations. Smaller tumor, lack of patient assertiveness during the treatment consultation and having the consultation with a radiation rather than medical oncologist were significantly predictive of greater satisfaction at 12-weeks post-consultation. CONCLUSIONS: Adjuvant treatment consultations are characterized by a high degree of information-giving by the physician, a predominance of biomedical discussion and relatively minimal time addressing patients' psychosocial concerns. Controlled trials are needed to further identify and address the contextual features of these consultations that enhance patient satisfaction. (c) 2009 John Wiley & Sons, Ltd.
Authors: Marilyn M Schapira; Kathlyn E Fletcher; Pamela S Ganschow; Elizabeth A Jacobs; Cindy M Walker; Alicia J Smallwood; Denisse Gil; Arshia Faghri; Amanda L Kong; Tina W Yen; Susan McDunn; Elizabeth Marcus; Joan M Neuner Journal: J Womens Health (Larchmt) Date: 2019-06-25 Impact factor: 2.681
Authors: Lone Ross; Morten Aagaard Petersen; Anna Thit Johnsen; Louise Hyldborg Lundstrøm; Mogens Groenvold Journal: Support Care Cancer Date: 2012-06-08 Impact factor: 3.603
Authors: Wendy W T Lam; Ava Kwong; Dacita Suen; Janice Tsang; Inda Soong; Tze Kok Yau; Winnie Yeo; Joyce Suen; Wing Ming Ho; Ka Yan Wong; Wing Kin Sze; Alice W Y Ng; Richard Fielding Journal: BMC Cancer Date: 2018-02-07 Impact factor: 4.430