Patsy Yates

Randomized Controlled Trial of an Educational Intervention for Managing Fatigue in Women Receiving Adjuvant Chemotherapy for Early-Stage Breast Cancer

PURPOSE To evaluate the efficacy of a psychoeducational intervention in improving cancer-related fatigue. PATIENTS AND METHODS This randomized controlled trial involved 109 women commencing adjuvant chemotherapy for stage I or II breast cancer in five chemotherapy treatment centers. Intervention group patients received an individualized fatigue education and support program delivered in the clinic and by phone over three 10- to 20-minute sessions 1 week apart. Instruments included a numeric rating scale assessing confidence with managing fatigue; 11-point numeric rating scales measuring fatigue at worst, average, and best; the Functional Assessment of Cancer Therapy-Fatigue and Piper Fatigue Scales; the Cancer Self-Efficacy Scale; the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire C30; and the Hospital Anxiety and Depression Scale. For each outcome, separate analyses of covariance of change scores between baseline (T1) and the three follow-up time points (T2, T3, and T4) were conducted, controlling for the variables corresponding baseline value. RESULTS Compared with the intervention group, mean difference scores between the baseline (T1) and immediate after the test (T2) assessments increased significantly more for the control group for worst and average fatigue, Functional Assessment of Cancer Therapy-Fatigue, and Piper fatigue severity and interference measures. These differences were not observed between baseline and T3 and T4 assessments. No significant differences were identified for any pre- or post-test change scores for confidence with managing fatigue, cancer self-efficacy, anxiety, depression, or quality of life. CONCLUSION Preparatory education and support has the potential to assist women to cope with cancer-related fatigue in the short term. However, further research is needed to identify ways to improve the potency and sustainability of psychoeducational interventions for managing cancer-related fatigue.

Advance Care Planning in palliative care: A systematic literature review of the contextual factors influencing its uptake 2008–2012

Background: Advance Care Planning is an iterative process of discussion, decision-making and documentation about end-of-life care. Advance Care Planning is highly relevant in palliative care due to intersecting clinical needs. To enhance the implementation of Advance Care Planning, the contextual factors influencing its uptake need to be better understood. Aim: To identify the contextual factors influencing the uptake of Advance Care Planning in palliative care as published between January 2008 and December 2012. Methods: Databases were systematically searched for studies about Advance Care Planning in palliative care published between January 2008 and December 2012. This yielded 27 eligible studies, which were appraised using National Institute of Health and Care Excellence Quality Appraisal Checklists. Iterative thematic synthesis was used to group results. Results: Factors associated with greater uptake included older age, a college degree, a diagnosis of cancer, greater functional impairment, being white, greater understanding of poor prognosis and receiving or working in specialist palliative care. Barriers included having non-malignant diagnoses, having dependent children, being African American, and uncertainty about Advance Care Planning and its legal status. Individuals’ previous illness experiences, preferences and attitudes also influenced their participation. Conclusion: Factors influencing the uptake of Advance Care Planning in palliative care are complex and multifaceted reflecting the diverse and often competing needs of patients, health professionals, legislature and health systems. Large population-based studies of palliative care patients are required to develop the sound theoretical and empirical foundation needed to improve uptake of Advance Care Planning in this setting.

Multivariate Methods to Identify Cancer-Related Symptom Clusters

Multivariate methods are required to assess the interrelationships among multiple, concurrent symptoms. We examined the conceptual and contextual appropriateness of commonly used multivariate methods for cancer symptom cluster identification. From 178 publications identified in an online database search of Medline, CINAHL, and PsycINFO, limited to articles published in English, 10 years prior to March 2007, 13 cross-sectional studies met the inclusion criteria. Conceptually, common factor analysis (FA) and hierarchical cluster analysis (HCA) are appropriate for symptom cluster identification, not principal component analysis. As a basis for new directions in symptom management, FA methods are more appropriate than HCA. Principal axis factoring or maximum likelihood factoring, the scree plot, oblique rotation, and clinical interpretation are recommended approaches to symptom cluster identification.

The Australian palliative care outcomes collaboration (PCOC) measuring the quality and outcomes of palliative care on a routine basis

Australia is leading the way in establishing a national system (the Palliative Care Outcomes Collaboration - PCOC) to measure the outcomes and quality of specialist palliative care services and to benchmark services across the country. This article reports on analysis of data collected routinely at point-of-care on 5939 patients treated by the first fifty one services that voluntarily joined PCOC. By March 2009, 111 services have agreed to join PCOC, representing more than 70% of services and more than 80% of specialist palliative care patients nationally. All states and territories are involved in this unique process that has involved extensive consultation and infrastructure and close collaboration between health services and researchers. The challenges of dealing with wide variation in outcomes and practice and the progress achieved to date are described. PCOC is aiming to improve understanding of the reasons for variations in clinical outcomes between specialist palliative care patients and differences in service outcomes as a critical step in an ongoing process to improve both service quality and patient outcomes.

Mapping oncology services in regional and rural Australia.

OBJECTIVE To map clinical oncology services in regional and rural Australia. DESIGN AND SETTING A self-administered survey was sent to 161 regional hospitals administering chemotherapy (RHAC) in Australia. RHAC were categorised by state, Hospital Peer Group and the Australian Standard Geographical Classification (ASGC) Remoteness Areas classification. MAIN OUTCOME MEASURE(S) Survey data provided percentage and aggregate figures about availability of medical, radiation and surgical oncologists, chemotherapy nurses, breast cancer nurses, palliative care physicians and allied health professionals according to remoteness and state. Chemotherapy prescribing practices, adherence to occupational health and safety guidelines and availability of multidisciplinary clinics were also explored. RESULTS A 98% survey completion rate was achieved. Significant deficiencies in service provision were identified in RHAC. Only 21% of RHAC reported a resident medical oncology service, 7% had a radiation oncology unit, and 6% had a resident surgical oncologist. Only 24% of RHAC reported a dedicated palliative care specialist and 39% identified a dedicated oncology counselling service. Other issues included administration of chemotherapy by nurses outside a recognised facility or by nurses without recognised oncology training, limited availability of funded breast care nurses and lack of multidisciplinary clinics. CONCLUSION Survey data highlight marked cancer service deficiencies in rural and regional Australia. It is not unreasonable to conclude that these deficiencies might contribute to poorer outcomes for cancer patients living in these areas. The results suggest the need for short- and long-term measures to improve access to best-practice cancer services for patients living in regional, rural and remote areas of Australia.

Quality of life experienced by patients receiving radiation treatment for cancers of the head and neck.

&NA; The purpose of this descriptive study was to explore the quality of life for 58 outpatients during and after a course of radiation treatment for cancers of the head and neck. Data were collected at three time points: T1 (first week of treatment), T2 (last week of treatment), and T3 (1 month after treatment). Patients completed two measures that assessed physical, emotional, functional, and social aspects of well‐being: the Functional Assessment of Cancer Therapy: Head and Neck (FACT—H&N) and the Hospital Anxiety and Depression Scale (HADS). Repeated measures multivariate analysis of variance and post hoc t tests were performed to assess changes in quality of life over the three time points. Results indicated overall increased levels of physical and functional symptoms, head and neck specific concerns, and depression between T1 and T2. However, except for depression, there was some improvement between scores on each of these measures of physical and functional well‐being between T2 and T3, although this improvement was not to the pretreatment level. The FACT subscales assessing social and emotional well‐being, and the HADS subscale showed no significant changes across time. Implications of this study relate to the ongoing need for interventions to assist patients once they have completed the radiation treatment course, and to improved assessment in some areas of emotional distress.

Is It Feasible and Desirable to Collect Voluntarily Quality and Outcome Data Nationally in Palliative Oncology Care

Hospice/palliative care is a critical component of cancer care. In Australia, more than 85% of people referred to specialized hospice/palliative care services (SHPCS) have a primary diagnosis of cancer, and 60% of people who die from cancer will be referred to SHPCS. The Palliative Care Outcomes Collaboration (PCOC) is an Australian initiative that allows SHPCS to collect nationally agreed-upon measures to better understand quality, safety, and outcomes of care. This article describes data (October 2006 through September 2007) from the first 22 SHPCS, with more than 100 inpatient admissions annually. Data include phase of illness, place of discharge, and, at each transition in place of care, the persons functional status, dependency, and symptom scores. Data are available for 5,395 people for 6,379 admissions. After categorizing by phase of illness and dependency, there remain at the end of each admission 12-fold differences (mean, 26%; range, 4% to 52%) in the percentage of patients who became stable after an unstable phase; seven-fold differences (mean, 22%; range, 6% to 41%) in the percentage of patients with improved symptom scores, five-fold differences (mean, 25%; range, 12% to 64%) in discharge back to the community, four-fold differences (mean, 10%; range, 4% to 16%) in improved function, and three-fold differences in the length of stay (mean, 14 days; range, 6 to 19 days). PCOC shows it is feasible to collect quality national palliative care outcome data voluntarily. Variations in outcomes justify continued enrollment of services. Benchmarking should include all patients whose cancer will cause death and explore observed variations.

Possible genetic predisposition to lymphedema after breast cancer

BACKGROUND Known risk factors for secondary lymphedema only partially explain who develops lymphedema following cancer, suggesting that inherited genetic susceptibility may influence risk. Moreover, identification of molecular signatures could facilitate lymphedema risk prediction prior to surgery or lead to effective drug therapies for prevention or treatment. Recent advances in the molecular biology underlying development of the lymphatic system and related congenital disorders implicate a number of potential candidate genes to explore in relation to secondary lymphedema. METHODS AND RESULTS We undertook a nested case-control study, with participants who had developed lymphedema after surgical intervention within the first 18 months of their breast cancer diagnosis serving as cases (n=22) and those without lymphedema serving as controls (n=98), identified from a prospective, population-based, cohort study in Queensland, Australia. TagSNPs that covered all known genetic variation in the genes SOX18, VEGFC, VEGFD, VEGFR2, VEGFR3, RORC, FOXC2, LYVE1, ADM, and PROX1 were selected for genotyping. Multiple SNPs within three receptor genes, VEGFR2, VEGFR3, and RORC, were associated with lymphedema defined by statistical significance (p<0.05) or extreme risk estimates (OR <0.5 or >2.0). CONCLUSIONS These provocative, albeit preliminary, findings regarding possible genetic predisposition to secondary lymphedema following breast cancer treatment warrant further attention for potential replication using larger datasets.

Peer mentorship in clinical education: outcomes of a pilot programme for first year students

Identifying effective strategies for promoting learning in the clinical setting continues to pose challenges for nurse educators. The aim of the present paper is to examine the potential that peer mentorship may have in helping nursing students to improve clinical learning outcomes. An example of a peer mentorship programme for nursing students undertaking their first clinical practicum is described, and preliminary findings from an evaluation of this pilot programme are presented. The results suggest that peer mentorship may be of some benefit to students, particularly in relation to reducing anxiety and improving confidence with clinical practice experiences, and is therefore a strategy which is worthy of further investigation.

Meeting the support and information needs of women with advanced breast cancer: a randomised controlled trial

Addressing psychosocial and quality of life needs is central to provision of excellent care for people with advanced cancer. This study tested a brief nurse-delivered intervention to address the needs of urban women with advanced breast cancer. This study was conducted at four large urban hospitals in Australia. One hundred and five women with advanced breast cancer were recruited and randomised to receive the intervention or usual care, then asked to complete the European Organisation of Research and Treatment of Quality of life Q-C30 version (2.0) (EORTC Q-C30) (version 2) and Supportive Care Needs Survey (SCNS) at 1 month and 3 months postrecruitment. No significant differences were detected between intervention and usual care groups in the SCNS or the EORTC Q-C30 subscale scores. However, when the groups were divided into high needs (score of above 50) and low baseline needs (score of 50 or below) for each SCNS subscale, a significant difference between intervention and usual care groups was found in the psychological/emotional subscale among women with high baseline needs. In conclusions, this study demonstrated that a face-to-face session and follow-up phone call with a breast care nurse significantly reduced the psychological and emotional needs of those with high initial needs. There was no evidence of the intervention influencing the quality of life; or perceived needs of women with low initial psychological/emotional needs or perceived needs in other domains. Possibly, the intervention was not sufficiently intense to achieve an effect.