The Experience of Uncertainty in Individuals With High Risk for Pancreatic Cancer.

BACKGROUND: Individuals with a strong family history of pancreatic cancer or a known hereditary cancer syndrome that is associated with pancreatic cancer are considered at high risk for developing pancreatic cancer. Living with a high risk for often fatal cancer is accompanied by high levels of uncertainty. Uncertainty is also independently associated with negative health outcomes. By understanding issues, sources, and responses to uncertainty, targeted supportive care strategies can be provided. OBJECTIVES: This study aimed to examine how uncertainty manifests in the experience of being at high risk to develop pancreatic cancer and to describe issues, sources of, and responses to uncertainty. METHODS: In this secondary qualitative descriptive study, we analyzed 19 interviews with persons living with inherited pancreatic cancer risk. Analysis was guided by a conceptual framework of uncertainty and responses to uncertainty. RESULTS: Participants described multiple personal, practical, and scientific issues of uncertainty, centering on what to expect for their future health. Participants also expressed positive and negative cognitive, emotional, and behavioral responses to uncertainty, including engaging in surveillance. Uncertainty sources were both individual experiences as well as perceptions of healthcare provider uncertainty with managing pancreatic cancer risk. CONCLUSION: Pancreatic cancer risk includes issues of uncertainty related to personal mortality, defining and managing risk, and experiencing surveillance. Positive and negative responses to this uncertainty could be targeted through interventions. IMPLICATION FOR PRACTICE: The oncology nurse should assess for sources of and responses to uncertainty in persons at risk for pancreatic cancer and offer psychosocial and educational support.

Distress Due to Prognostic Uncertainty in Palliative Care: Frequency, Distribution, and Outcomes among Hospitalized Patients with Advanced Cancer.

BACKGROUND: Prognostic uncertainty is common in advanced cancer and frequently addressed during palliative care consultation, yet we know little about its impact on quality of life (QOL). OBJECTIVE: We describe the prevalence and distribution of distress due to prognostic uncertainty among hospitalized patients with advanced cancer before palliative care consultation. We evaluate the association between this type of distress and overall QOL before and after palliative care consultation. DESIGN: Observational cohort study. SETTING & PARTICIPANTS: Hospitalized patients with advanced cancer who receive a palliative care consultation at two geographically distant academic medical centers. MEASUREMENTS: At the time of enrollment, before palliative care consultation, we asked participants: "Over the past two days, how much have you been bothered by uncertainty about what to expect from the course of your illness?" (Not at all/Slightly/Moderately/Quite a Bit/Extremely). We defined responses of "Quite a bit" and "Extremely" to be indicative of substantial distress. RESULTS: Two hundred thirty-six participants completed the baseline assessment. Seventy-seven percent reported being at least moderately bothered by prognostic uncertainty and half reported substantial distress. Compared with others, those who were distressed by prognostic uncertainty (118/236) reported poorer overall QOL before palliative care consultation (mean QOL 3.8 out of 10 vs. 5.3 out of 10, p = < 0.001) and greater improvement in QOL following consultation (Adjusted difference in mean QOL change = 1.1; 95% confidence interval = 0.2, 2.0). CONCLUSIONS: Prognostic uncertainty is a prevalent source of distress among hospitalized patients with advanced cancer at the time of initial palliative care consultation. Distress from prognostic uncertainty is associated with lower levels of preconsultation QOL and with greater pre-post consultation improvement in the QOL.

Goals of care: a concept clarification.

AIM: To report an analysis and clarification of the concept of goals of care. BACKGROUND: Goals of care have been used by healthcare providers since 1978, but no operationalized, consensual definition exists. DESIGN: Norris's method of concept clarification was used to create an operational definition, conceptual model and testable hypotheses of goals of care from the healthcare provider's perspective. DATA SOURCES: Data came from current research reports, interviews with experts and web sites of professional organizations. Research reports were published between 2003-2013. METHODS: Antecedents, definitions and consequences were systematized and organized into coherent and more abstract groups to define goals of care. A conceptual model and testable hypotheses were created from this process. RESULTS: Goals of care are desired health expectations that are formulated through the thoughtful interaction between a human being seeking medical care and the healthcare team in the healthcare system and are appropriate, agreed on, documented and communicated. CONCLUSIONS: Development of clear goals of care can increase patient satisfaction and quality of care while decreasing costs, hospital length of stay and hospital readmission. Goals of care are dynamic and should be reassessed regularly. How and when goals of care transition from implicit to explicit should be explored further, and what prompts this transition. Nurses, physicians and healthcare providers need education on how to best fill their roles in the development of goals of care.

Feeling Heard and Understood: A Patient-Reported Quality Measure for the Inpatient Palliative Care Setting.

CONTEXT: As endorsed by the palliative care "Measuring What Matters" initiative, capturing patients' direct assessment of their care is essential for ongoing quality reporting and improvement. Fostering an environment where seriously ill patients feel heard and understood is of crucial importance to modern health care. OBJECTIVES: To describe the development and performance of a self-report field measure for seriously ill patients to report how well they feel heard and understood in the hospital environment. METHODS: As part of a larger ongoing cohort study of inpatient palliative care, we developed and administered the following point-of-care item: "Over the past two days, how much have you felt heard and understood by the doctors, nurses and hospital staff?" (completely, quite a bit, moderately, slightly, not at all). Participants completed the measure before and the day after palliative care consultation. For the postconsultation version, we changed the time frame from "past two days" to "today." RESULTS: One hundred sixty patients with advanced cancer completed the preconsultation assessment, and 87% of them completed the postconsultation version. Responses encompassed full use of the ordinal scale, did not exhibit ceiling or floor effects, and showed improvement from preassessment to postassessment. The item was quick to administer and easy for patients to complete. CONCLUSION: The "Heard & Understood" item is a promising self-report quality measure for the inpatient palliative care setting.

Design of, and enrollment in, the palliative care communication research initiative: a direct-observation cohort study.

BACKGROUND: Understanding the characteristics of communication that foster patient-centered outcomes amid serious illness are essential for the science of palliative care. However, epidemiological cohort studies that directly observe clinical conversations can be challenging to conduct in the natural setting. We describe the successful enrollment, observation and data collection methods of the ongoing Palliative Care Communication Research Initiative (PCCRI). METHODS: The PCCRI is a multi-site cohort study of naturally occurring inpatient palliative care consultations. The 6-month cohort data includes directly observed and audio-recorded palliative care consultations (up to first 3 visits); patient/proxy/clinician self-report questionnaires both before and the day after consultation; post-consultation in-depth interviews; and medical/administrative records. RESULTS: One hundred fourteen patients or their proxies enrolled in PCCRI during Enrollment Year One (of Three). Seventy percent of eligible patients/proxies were invited to hear about a communication research study (188/269); 60% of them ultimately enrolled in the PCCRI (114/188), resulting in a 42% sampling proportion (114/269 eligible). All PC clinicians at study sites were invited to participate; all 45 participated. CONCLUSIONS: Epidemiologic study of patient-family-clinician communication in palliative care settings is feasible and acceptable to patients, proxies and clinicians. We detail the successful PCCRI methods for enrollment, direct observation and data collection for this complex "field" environment.