16 research outputs found

    Do Patients and Oncologists Discuss the Cost of Cancer Treatment? An Observational Study of Clinical Interactions Between African American Patients and Their Oncologists

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    PURPOSE: Financial toxicity negatively affects patients with cancer, especially racial/ethnic minorities. Patient-oncologist discussions about treatment-related costs may reduce financial toxicity by factoring costs into treatment decisions. This study investigated the frequency and nature of cost discussions during clinical interactions between African American patients and oncologists and examined whether cost discussions were affected by patient sociodemographic characteristics and social support, a known buffer to perceived financial stress. Methods Video recorded patient-oncologist clinical interactions (n = 103) from outpatient clinics of two urban cancer hospitals (including a National Cancer Institute-designated comprehensive cancer center) were analyzed. Coders studied the videos for the presence and duration of cost discussions and then determined the initiator, topic, oncologist response to the patient\u27s concerns, and the patient\u27s reaction to the oncologist\u27s response. RESULTS: Cost discussions occurred in 45% of clinical interactions. Patients initiated 63% of discussions; oncologists initiated 36%. The most frequent topics were concern about time off from work for treatment (initiated by patients) and insurance (initiated by oncologists). Younger patients and patients with more perceived social support satisfaction were more likely to discuss cost. Patient age interacted with amount of social support to affect frequency of cost discussions within interactions. Younger patients with more social support had more cost discussions; older patients with more social support had fewer cost discussions. CONCLUSION: Cost discussions occurred in fewer than one half of the interactions and most commonly focused on the impact of the diagnosis on patients\u27 opportunity costs rather than treatment costs. Implications for ASCO\u27s Value Framework and design of interventions to improve cost discussions are discussed

    Structure and integration of specialty palliative care in three NCI-designated cancer centers: a mixed methods case study

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    Abstract Introduction Early access to specialty palliative care is associated with better quality of life, less intensive end-of-life treatment and improved outcomes for patients with advanced cancer. However, significant variation exists in implementation and integration of palliative care. This study compares the organizational, sociocultural, and clinical factors that support or hinder palliative care integration across three U.S. cancer centers using an in-depth mixed methods case study design and proposes a middle range theory to further characterize specialty palliative care integration. Methods Mixed methods data collection included document review, semi-structured interviews, direct clinical observation, and context data related to site characteristics and patient demographics. A mixed inductive and deductive approach and triangulation was used to analyze and compare sites’ palliative care delivery models, organizational structures, social norms, and clinician beliefs and practices. Results Sites included an urban center in the Midwest and two in the Southeast. Data included 62 clinician and 27 leader interviews, observations of 410 inpatient and outpatient encounters and seven non-encounter-based meetings, and multiple documents. Two sites had high levels of “favorable” organizational influences for specialty palliative care integration, including screening, policies, and other structures facilitating integration of specialty palliative care into advanced cancer care. The third site lacked formal organizational policies and structures for specialty palliative care, had a small specialty palliative care team, espoused an organizational identity linked to treatment innovation, and demonstrated strong social norms for oncologist primacy in decision making. This combination led to low levels of specialty palliative care integration and greater reliance on individual clinicians to initiate palliative care. Conclusion Integration of specialty palliative care services in advanced cancer care was associated with a complex interaction of organization-level factors, social norms, and individual clinician orientation. The resulting middle range theory suggests that formal structures and policies for specialty palliative care combined with supportive social norms are associated with greater palliative care integration in advanced cancer care, and less influence of individual clinician preferences or tendencies to continue treatment. These results suggest multi-faceted efforts at different levels, including social norms, may be needed to improve specialty palliative care integration for advanced cancer patients

    The Effects of Oncologist Implicit Racial Bias in Racially Discordant Oncology Interactions

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    PURPOSE: Health providers\u27 implicit racial bias negatively affects communication and patient reactions to many medical interactions. However, its effects on racially discordant oncology interactions are largely unknown. Thus, we examined whether oncologist implicit racial bias has similar effects in oncology interactions. We further investigated whether oncologist implicit bias negatively affects patients\u27 perceptions of recommended treatments (i.e., degree of confidence, expected difficulty). We predicted oncologist implicit bias would negatively affect communication, patient reactions to interactions, and, indirectly, patient perceptions of recommended treatments. METHODS: Participants were 18 non-black medical oncologists and 112 black patients. Oncologists completed an implicit racial bias measure several weeks before video-recorded treatment discussions with new patients. Observers rated oncologist communication and recorded interaction length of time and amount of time oncologists and patients spoke. Following interactions, patients answered questions about oncologists\u27 patient-centeredness and difficulty remembering contents of the interaction, distress, trust, and treatment perceptions. RESULTS: As predicted, oncologists higher in implicit racial bias had shorter interactions, and patients and observers rated these oncologists\u27 communication as less patient-centered and supportive. Higher implicit bias also was associated with more patient difficulty remembering contents of the interaction. In addition, oncologist implicit bias indirectly predicted less patient confidence in recommended treatments, and greater perceived difficulty completing them, through its impact on oncologists\u27 communication (as rated by both patients and observers). CONCLUSION: Oncologist implicit racial bias is negatively associated with oncologist communication, patients\u27 reactions to racially discordant oncology interactions, and patient perceptions of recommended treatments. These perceptions could subsequently directly affect patient-treatment decisions. Thus, implicit racial bias is a likely source of racial treatment disparities and must be addressed in oncology training and practice

    Language Analysis as a Window to Bereaved Parents’ Emotions During a Parent–Physician Bereavement Meeting

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    Parent–physician bereavement meetings may benefit parents by facilitating sense making, which is associated with healthy adjustment after a traumatic event. Prior research suggests a reciprocal relationship between sense making and positive emotions. We analyzed parents’ use of emotion words during bereavement meetings to better understand parents’ emotional reactions during the meeting and how their emotional reactions related to their appraisals of the meeting. Parents’ use of positive emotion words increased, suggesting the meetings help parents make sense of the death. Parents’ use of positive emotion words was negatively related to their own and/or their spouse’s appraisals of the meeting, suggesting that parents who have a positive emotional experience during the meeting may also have a short-term negative reaction. Language analysis can be an effective tool to understand individuals’ ongoing emotions and meaning making processes during interventions to reduce adverse consequences of a traumatic event, such as a child’s death
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