What is the effect of a low literacy talking book on patient knowledge, anxiety and communication before radiation therapy starts? A pilot study.

INTRODUCTION: Radiation therapy is a common cancer treatment, requiring timely information to help patients prepare for treatment. We pilot tested a low literacy, psycho-educational talking book (written booklet, with accompanying audio recording) to examine (i) the effect of the tool on knowledge, anxiety and communication; (ii) acceptability, and (iii) how it was used in appointments. METHODS: A pre-post design was employed. Patients scheduled to receive radiation therapy for any cancer were recruited from two hospitals in Sydney, Australia. Participants were sent the talking book before treatment planning and completed baseline and follow-up surveys, before and after the intervention. RESULTS: Forty participants were recruited, and 39 completed all study assessments. Overall, knowledge increased after receiving the talking book by 3.8 points from 13.9 to 17.7/20 (95% confidence interval (CI) 2.7, 4.8, P < 0.001). Anxiety and concerns were significantly lower after receiving the talking book (P = 0.015 and P = 0.004, respectively). Nearly half of participants (s = 17, 48%) reported using the book during appointments. Most reported finding it easier to communicate (n = 31, 89%) and to ask more questions (n = 21, 62%). CONCLUSION: The talking book shows promise in improving knowledge, reducing anxiety and enhancing communication. Strategies to support the implementation of the talking book are required. Further studies to translate the book into different languages are also planned.

Estimating survival time in older adults receiving chemotherapy for advanced cancer.

PURPOSE: We determined the accuracy of oncologists' estimates of expected survival time (EST) for older adults with advanced cancer, and explored predictors of survival from a geriatric assessment (GA). METHODS: Patients aged ≥65 years starting a new line of palliative chemotherapy were eligible. For each patient at enrolment, oncologists estimated EST and rated frailty (Canadian Study on Health and Aging Clinical Frailty Scale, 1 = very fit, to 7 = severely frail), and a researcher completed a GA. We anticipated estimates of EST to be: imprecise [<33% between 0.67 and 1.33 times the observed survival time (OST)]; unbiased (approximately 50% of participants living longer than their EST); and, useful for estimating individualised worst-case (10% living ≤» times their EST), typical (50% living half to double EST), and best-case (10% living ≥3 times EST) scenarios for survival time. Logistic regression was used to identify independent predictors of OST. RESULTS: The 102 participants [median age 74 years, vulnerable to frail (4-7 on scale) 35%] had a median OST of 15 months. 30% of estimates of EST were within 0.67-1.33 times the OST. 54% of participants lived longer than their EST, 9% lived ≤1/4 of their EST and 56% lived half to double their EST. Follow-up was insufficient to observe those living ≥3 times their EST. Independent predictors of OST were frailty (HR 4.16, p < .0001) and cancer type (p = .003). CONCLUSIONS: Oncologists' estimates of EST were imprecise, but unbiased and accurate for formulating scenarios for survival. A pragmatic frailty rating was identified as a potentially useful predictor of OST.

Predicting chemotherapy toxicity in older adults: Comparing the predictive value of the CARG Toxicity Score with oncologists' estimates of toxicity based on clinical judgement.

AIM: The Cancer and Aging Research Group's (CARG) Toxicity Score was designed to predict grade ≥3 chemotherapy-related toxicity in adults aged ≥65 yrs. commencing chemotherapy for a solid organ cancer. We aimed to evaluate the CARG Score and compare it to oncologists' estimates for predicting severe chemotherapy toxicity in older adults. METHODS: Patients aged ≥65 yrs. starting chemotherapy for a solid organ cancer had their CARG Score (range 0-23) calculated. Their treating oncologist, blinded to these results, independently estimated each patient's risk of severe chemotherapy toxicity (0-100%). Toxicities were captured prospectively. The predictive value of the CARG Score and oncologists' estimates was estimated using logistic regression and in terms of Area Under the Receiver Operating Characteristic curve (AU-ROC). RESULTS: 126 patients from ten oncologists at two sites participated. The median age was 72 yrs. (range 65-84). The median CARG Score was 7 (range 0-17); the median oncologist estimate of risk was 30% (range 3-80%), and these measures were not correlated (r = -0.01). 64 patients (52%) experienced grade ≥ 3 toxicity. Rates of severe toxicity in low-, intermediate-, and high-risk groups by CARG Score were 58%, 47%, and 58% respectively, and 63%, 44%, and 67% by oncologist estimate. Severe chemotherapy toxicity was not predicted by the CARG Score (OR 1.04, 95%CI 0.92-1.18, p = .54, AU-ROC 0.52), or oncologists' estimates (OR 1.00, 95%CI 0.98-1.02, p = .82, AU-ROC 0.52). CONCLUSION: Neither the CARG Score, nor oncologists' estimates based on clinical judgement, predicted severe chemotherapy-related toxicity in our population of older adults with cancer. Methods to improve risk prediction are needed.

Oncologists' perceptions on the usefulness of geriatric assessment measures and the CARG toxicity score when prescribing chemotherapy for older patients with cancer.

BACKGROUND: The use of geriatric assessment (GA) and the Cancer and Aging Research Group (CARG) Toxicity Score by Australian oncologists is low. We sought oncologists' views about the value of GA and the CARG Score when making decisions about chemotherapy for their older patients. METHODS: Patients aged ≥65 yrs. with a plan to start chemotherapy for a solid organ cancer underwent a GA and had their CARG Score calculated. Results of the GA and CARG Score were provided to treating oncologists who then completed a questionnaire on the value of these measures for each patient. RESULTS: We enrolled 30 patients from eight oncologists. Patients had a median age of 76 years and most (77%) were ECOG performance status 0 or 1. Risk category for severe chemotherapy toxicity by CARG Score was low in 7 patients (23%), intermediate in 18 (60%), and high in 5 (17%). The GA provided oncologists new information for 12 patients (40%), most frequently in the domains of function and nutrition. Knowledge of the GA prompted supportive interventions for 7 patients (23%). Oncologists considered modifications to recommended chemotherapy based on the CARG Score for 2 patients (7%) (one more intensive and one less intensive), and based on GA for no patients. Oncologists judged the GA and CARG Score as useful in 26 (87%) and 25 (83%) patients, respectively. CONCLUSION: Although oncologists valued the GA and CARG Score, they rarely used them to modify chemotherapy. The GA provided new information that prompted supportive interventions in one quarter of patients.

Times to Diagnosis and Treatment of Lung Cancer in New South Wales, Australia: A Multicenter, Medicare Data Linkage Study.

INTRODUCTION: Earlier access to lung cancer specialist (LCS) care improves survival. We examined times to diagnosis and treatment of patients with lung cancer in rural and metropolitan New South Wales (NSW) Australia, benchmarked against recent timeframe recommendations. MATERIALS AND METHODS: Semistructured interviews of recently diagnosed patients with lung cancer from five NSW cancer centers were used to determine standardized time intervals to diagnosis and treatment, triangulated with Medicare data linkage and medical records. We used descriptive statistics to evaluate the primary end points of median time intervals from general practitioner (GP) referral to first LCS visit (GP-LCS interval) and to treatment start (Secondary Care interval). Univariable and multivariable analyses were used to study associations with delays in end points. Post hoc survival analyses were performed. RESULTS: Data linkage was performed for 125 patients (68% stage IV; 69% metropolitan), with 108 interviewed. The median GP-LCS interval was 4 days, with 83% of patients seeing an LCS within the recommended 14 days. The median Secondary Care interval was 42 days (52% within 42 days). There were no significant differences between time intervals faced by rural and metropolitan patients overall, although metropolitan patients took 18 days less than rural counterparts to commence radiation/chemoradiation (95% CI, -33.2 to -2.54; P = .02). One third of patients perceived delays. Delays did not affect survival. CONCLUSION: Rural and metropolitan NSW patients face comparable time lines to diagnosis and treatment of lung cancer. Most patients are seen by an LCS within recommended timeframes, but transition through Secondary Care and addressing patient expectations could be improved.

Educational and vocational goal disruption in adolescent and young adult cancer survivors.

OBJECTIVE: Cancer in adolescents and young adults (AYAs) can interrupt important developmental milestones. Absence from school and time lost from work, together with the physical impacts of treatment on energy and cognition, can disrupt educational and vocational goals. The purpose of this paper is to report on AYA cancer survivors' experiences of reintegration into school and/or work and to describe perceived changes in their educational and vocational goals. METHODS: Adolescents and young adults recruited from 7 hospitals in Australia, aged 15 to 26 years and ≤24 months posttreatment, were interviewed using the psychosocial adjustment to illness scale. Responses were analysed to determine the extent of, and explanations for, cancer's effect on school/work. RESULTS: Forty-two AYA cancer survivors (50% female) participated. Compared with their previous vocational functioning, 12 (28.6%) were scored as experiencing mild impairment, 14 (33.3%) moderate impairment, and 3 (7.1%) marked impairment. Adolescents and young adults described difficulties reintegrating to school/work as a result of cognitive impacts such as concentration problems and physical impacts of their treatment, including fatigue. Despite these reported difficulties, the majority indicated that their vocation goals were of equal or greater importance than before diagnosis (26/42; 62%), and most AYAs did not see their performance as compromised (23/42; 55%). Many survivors described a positive shift in life goals and priorities. The theme of goal conflict emerged where AYAs reported compromised abilities to achieve their goals. CONCLUSIONS: The physical and cognitive impacts of treatment can make returning to school/work challenging for AYA cancer survivors. Adolescents and young adults experiencing difficulties may benefit from additional supports to facilitate meaningful engagement with their chosen educational/vocational goals.

Exploring the nature of situational goal-based coping in early-stage breast cancer patients: A contextual approach.

PURPOSE: The psychosocial impact of breast cancer varies widely across patients and over time. Greater insight into goal-based coping processes theorised to underpin psychological resilience may inform efforts to support the maintenance and recovery of psychological wellbeing in the context of breast cancer treatment and recovery. This prospective study adopted a qualitative descriptive design to better understand the nature of situational goal-based coping in response to personal goal interference encountered across the six months following surgery for early-stage breast cancer. METHOD: Responses to specific instances of goal interference were derived from semi-structured interviews conducted at three time-points following surgery (i.e., approximately two, four, and six months post-surgery). Thematic and cross-case analytic techniques were utilised to identify broad patterns across the goal-specific response trajectories. RESULTS: Three broad response patterns were identified - goal-based coping only, combined goal-based coping and other (i.e., informed waiting and/or passive) responses, and informed waiting and/or passive responses only. Specific response patterns were further identified within each category. The majority of response trajectories incorporated the utilisation of assimilative and/or accommodative goal-based coping. CONCLUSIONS: Early-stage breast cancer patients utilised goal-based coping in response to many instances of goal-specific interference encountered during the study period. While the initial or delayed activation of these processes appeared generally adaptive, there was also evidence of maladaptive coping and blocked goal pursuit. Further insight into the nature of adaptive and maladaptive goal-based coping in this context could help oncology nurses facilitate ongoing personal goal pursuit and psychological resilience across the cancer continuum.

Investigating physical symptom burden and personal goal interference in early-stage breast cancer patients.

PURPOSE: Physical symptoms associated with breast cancer and its treatment can substantially interfere with functional outcomes and quality of life. The present study seeks to delineate the relationship between physical symptom burden and cancer-related goal interference in early-stage breast cancer patients. METHODS: Self-report questionnaires were administered to 43 eligible female patients at four time-points in the 6 months following surgery for early-stage breast cancer. Physical symptoms, cancer-related goal interference, and psychological distress were assessed at each time-point. K-means cluster analysis and independent sample t tests evaluated the relationships of interest. RESULTS: Women with a higher physical symptom burden experienced significantly higher goal interference and psychological distress than those with a lower burden at multiple time-points following surgery. CONCLUSIONS: This study provides preliminary evidence that physical symptom burden can interfere with important goal pursuit in early-stage breast cancer patients. Breast cancer survivors with ongoing challenging symptoms may require targeted psychosocial support to cope with possible goal interference and associated distress.

The association between job demands/control and health in employed parents: the mediating role of work-to-family interference and enhancement.

This paper examined whether work-to-family interference (WFI) and work-to-family enhancement (WFE) mediated the association between job demands/control and self-reported mental and physical health. Data were from the Household, Income and Labor Dynamics in Australia survey and included 1,404 Australian adults aged 18-64 years at baseline; 820 participants provided data at three time points (baseline, 12-month follow-up, and 24-month follow-up). Self-report questionnaires assessed mental and physical health, WFI and WFE, and job demands/control. Mediation analyzes performed on the longitudinal data indicated that WFI mediated the relationships between job demands/control and self-reported mental and physical health. The findings have implications for improving the well-being of employees and workplace productivity.

Occupational factors and sick leave in Australian employees.

OBJECTIVES: To investigate occupational factors associated with sick leave over a 4-year period in Australian employees. METHODS: Longitudinal data (self-report) from 2861 Australian full-time employees (69.4% male) were used. Occupational factors and relevant covariates were assessed at baseline with sick leave assessed yearly over a 4-year period. The data were analyzed using multinomial logistic regression models. RESULTS: Job strain and longer commuting time were associated with long sick leave, whereas long work hours were inversely associated with long sick leave. CONCLUSIONS: These results provide further evidence that certain aspects of work are associated with sick leave, whereas other work aspects such as long work hours are inversely associated with sick leave. Organizations need to understand and address these factors to improve the well-being of employees and increase workplace productivity.

Occupational factors associated with 4-year weight gain in Australian adults.

OBJECTIVE: This article examined whether occupational factors predicted 4-year change in body mass index (BMI) in a sample of full-time Australian employees. METHODS: Data from 1670 full-time Australian employees were collected through the Longitudinal Study of Australian Children. Multinomial logistic regression was used to examine whether several occupational factors at baseline predicted changes in BMI at 4-year follow up; several health and demographic covariates were controlled. RESULTS: Inflexible working hours (odds ratio = 1.54, 95% confidence interval [1.14 to 2.09]) and weekend work (odds ratio = 1.33, 95% confidence interval [1.04 to 1.68]) significantly predicted increased BMI. CONCLUSIONS: This article demonstrates that certain occupational factors (ie, inflexible work hours and weekend work) significantly predicted increased BMI. Targeting these factors may play a role in combating obesity and related health problems among employees.