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Female partners of prostate cancer (PCa) survivors experience heightened psychological distress that may be greater than that expressed by PCa patients. However, optimal approaches to detect distressed, or at risk of distress, partners are unclear. This study applied receiver operating characteristics analysis to evaluate diagnostic accuracy, sensitivity and specificity of the Distress Thermometer (DT) compared to widely used measures of general (Hospital Anxiety and Depression Scale) and cancer-specific (Impact of Events Scale-Revised) distress. Participants were partners of men with localised PCa (recruited around diagnosis) about to undergo or had received surgical treatment (N = 189), and partners of men diagnosed with PCa who were 2-4 years post-treatment (N = 460). In both studies, diagnostic utility of the DT overall was not optimal. Although area under the curve scores were acceptable (ranges: 0.71-0.92 and 0.83-0.94 for general and cancer-specific distress, respectively), sensitivity, specificity and optimal DT cut-offs for partner distress varied for general (range: ≥2 to ≥5) and cancer-specific (range: ≥3 to ≥5) distress both across time and between cohorts. Thus, it is difficult to draw firm conclusions about the diagnostic capabilities of the DT for partners or recommend its use in this population. More comprehensive screening measures may be needed to detect partners needing psychological intervention.

Objective To explore men's lived experience of advanced prostate cancer (PCa) and preferences for support. Design Cross-sectional qualitative study applying open-ended surveys and interviews conducted between June and November 2016. Interviews audio-recorded and transcribed verbatim and analysed from an interpretive phenomenological perspective. Setting Australia, nation-wide. Participants 39 men diagnosed with advanced PCa (metastatic or castration-resistant biochemical progression) were surveyed with 28 men subsequently completing a semistructured in depth telephone interview. Results Thematic analysis of interviews identified two organising themes: lived experience and supportive care. Lived experience included six superordinate themes: regret about late diagnosis and treatment decisions, being discounted in the health system, fear/uncertainty about the future, acceptance of their situation, masculinity and treatment effects. Supportive care included five superordinate themes: communication, care coordination, accessible care, shared experience/peer support and involvement of their partner/family. Conclusions Life course and the health and social context of PCa influence men's experiences of advanced disease. Multimodal interventions integrating peer support and specialist nurses are needed that more closely articulate with men's expressed needs.

Purpose: To estimate the health system costs of prostate cancer by disease risk category and treatment type over 2016 to 2025 and to identify potential strategies to contain the cost increase. Methods: A Markov cohort model was developed using clinical pathways from US prostate cancer guidelines and clinical expertise. Estimates of the probabilities of various treatments and outcomes and their unit costs were sourced from systematic reviews, meta-analyses, epidemiological publications and national cost reports. Estimated costs by stage of disease, by major treatments and by age at diagnosis were reported in 2016 US dollars. One-way and probabilistic sensitivity analyses assessed potential variation in the modeled costs. Results: Australia-wide costs of prostate cancer were estimated at US$270.9 million in 2016 rising to US$384.3 million in 2025, an expected increase of 42%. Of this total increase, newly diagnosed low risk cases will contribute US$32.9 million, intermediate-risk US$56.8 million, high-risk US$53.3 million and advanced US$12.6 million. For men diagnosed at age 65 with low-risk disease, lifetime costs per patient were US$14,497 for surgery, US$19,665 for radiation therapies to the primary lesion, and US$9,234 for active surveillance. For intermediate- or high-risk disease, mean costs per patient were US$34,941 for surgery plus radiation and US$31,790 for androgen deprivation therapy plus radiation while advanced cancer therapies were at US$31,574 per patient. Additional costs for managing iatrogenic disease secondary to these treatments were excluded. Conclusion: Strategies for identifying patients early before cancers have spread are critical to contain the estimated 42% increase in costs over the next decade. Increased uptake of active surveillance would also lead to substantial cost-savings in the management of low-risk prostate cancer.

Objectives To develop and validate a prediction model for short-term mortality in Australian men aged ≥45years, using age and self-reported health variables, for use when implementing the Australian Clinical Practice Guidelines for Prostate-Specific Antigen (PSA) Testing and Early Management of Test-Detected Prostate Cancer. Implementation of one of the Guideline recommendations requires an estimate of 7-year mortality. Design Prospective cohort study using questionnaire data linked to mortality data. Setting Men aged ≥45years randomly sampled from the general population of New South Wales, Australia, participating in the 45 and Up Study. Participants 123 697 men who completed the baseline postal questionnaire (distributed from 1 January 2006 to 31 December 2008) and gave informed consent for follow-up through linkage of their data to population health databases. Primary outcome measures The primary outcome was all-cause mortality. Results 12 160 died during follow-up (median=5.9 years). Following age-adjustment, self-reported health was the strongest predictor of all-cause mortality (C-index: 0.827; 95% CI 0.824 to 0.831). Three prediction models for all-cause mortality were validated, with predictors: Model-1: age group and self-rated health; Model-2: variables common to the 45 and Up Study and the Australian Health Survey and subselected using stepwise regression and Model-3: all variables selected using stepwise regression. Final predictions calibrated well with observed all-cause mortality rates. The 90th percentile for the 7-year mortality risks ranged from 1.92% to 83.94% for ages 45–85 years. Conclusions We developed prediction scores for short-term mortality using age and self-reported health measures and validated the scores against national mortality rates. Along with age, simple measures such as self-rated health, which can be easily obtained without physical examination, were strong predictors of all-cause mortality in the 45 and Up Study. Seven-year mo

Objective: To estimate costs on the Medicare Benefits Schedule (MBS) and the Pharmaceutical Benefits Scheme (PBS) attributable to the diagnosis and treatment of prostate cancer. Methods: We used data from a cohort study of 1064 men with localized prostate cancer recruited between 2005 and 2007 by 24 urologists across 10 sites in Queensland, Australia (ProsCan). We estimated the MBS and PBS costs attributable to prostate cancer from the date of initial appointment to 12 months after diagnosis in 2013 Australian dollars using a comparison group without prostate cancer. We used generalized linear modeling to identify key determinants of higher treatment-related costs. Results: From the date of initial appointment to 12 months postdiagnosis, the average MBS costs attributable to prostate cancer were $9,357 (SD $191) per patient. These MBS costs were most sensitive to having private health insurance and the type of primary treatment received. The PBS costs were higher in the control group than in the ProsCan group ($5,641 vs $1,924). Conclusions: The costs of treating and managing prostate cancer are high and these result in a substantial financial burden for the Australian MBS. Costs attributable to prostate cancer appear to vary widely based on initial treatment and these are likely to increase with the introduction of more expensive services and pharmaceuticals. There is a pressing need for better prognostic tools to distinguish between indolent and aggressive prostate tumors to reduce potential over treatment and help ease the burden of prostate cancer.

The term ‘financial toxicity’ is broadly used to describe the distress or hardship arising from the financial burden of cancer treatment. In much the same way as physical side-effects of treatment like fatigue, nausea or blood toxicities, financial problems after cancer diagnosis are a major contributor to poorer quality of life, treatment non-adherence and delayed medical care. This article describes what financial toxicity is, how it is measured, how common it is and what the implications are for further research and clinical practice. A recent review shows a wide range of measures used to describe the financial burden of cancer. Using monetary measures, the magnitude of financial stress was between 28-48% in cancer populations. Possible solutions to reduce the family financial burden include mandating full disclosure of doctors’ fees and charges related to treatment and strategies to empower patients to improve their treatment decision making. Furthermore, screening tools such as the COST-FACIT 11-item survey may assist health professionals to identify those patients at high risk of financial stress and refer them to support services. Minimising financial stress is important for patients and measuring financial toxicity helps to expose flaws in health systems and subsequently ensure that citizens receive quality cancer care.

Objective To determine the extent of financial toxicity (FT) among cancer survivors, identify the determinants and how FT is measured. Methods A systematic review was performed in MEDLINE, CINAHL and PsycINFO, using relevant terminology and included articles published from 1 January, 2013 to 30 June, 2016. We included observational studies where the primary outcomes included FT and study samples were greater than 200. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were followed. Results From 417 citations, a total of 25 studies were included in this review. Seventy outcomes of FT were reported with 47 covering monetary, objective and subjective indicators of FT. A total of 28–48% of patients reported FT using monetary measures and 16–73% using subjective measures. The most commonly reported factors associated with FT were: being female, younger age, low income at baseline, adjuvant therapies and more recent diagnosis. Relative to non-cancer comparison groups, cancer survivors experienced significantly higher FT. Most studies were cross-sectional and causal inferences between FT and determinants were not possible. Measures of FT were varied and most were not validated, while monetary values of out-of-pocket expenses included different cost components across studies. Conclusions A substantial proportion of cancer survivors experience financial hardship irrespective of how it is measured. Using standardised outcomes and longitudinal designs to measure FT would improve determination of the extent of FT. Further research is recommended on reduced work participation and income losses occurring concurrently with FT and on the impacts on treatment non-adherence.

Introduction: Although sexual dysfunction is common after prostate cancer, men's decisions to seek help for sexual concerns are not well understood. Aim: Describe predictors of actual prior help-seeking and intended future medical help-seeking for sexual dysfunction in prostate cancer survivors. Methods: A cross-sectional survey of 510 prostate cancer survivors assessed masculine beliefs, attitudes, support/approval from partner/peer networks (subjective norm), and perceived control as predictors of medical help-seeking for sexual concerns. A theory of planned behavior (TPB) perspective was used to examine actual prior and planned future behavior and contributing factors. Statistical analyses included multiple and logistic regressions. Main Outcome Measures: Intention to see a doctor for sexual advice or help in the next 6 months was measured using the intention subscale adapted from the Attitudes to Seeking Help after Cancer Scale. Prior help-seeking was measured with a dichotomous yes/no scale created for the study. Results: Men were Mage 71.69 years (SD = 7.71); 7.54 years (SD = 4.68) post-diagnosis; received treatment(s) (58.1% radical prostatectomy; 47.1% radiation therapy; 29.4% hormonal ablation); 81.4% reported severe ED (IIED 0–6) and 18.6% moderate–mild ED (IIED 7–24). Overall, 30% had sought sexual help in the past 6 months, and 24% intended to seek help in the following 6 months. Prior help-seeking was less frequent among men with severe ED. Sexual help-seeking intentions were associated with lower education, prior sexual help-seeking, sexual importance/ priority, emotional self-reliance, positive attitude, and subjective norm (R2 = 0.56). Conclusion: The TPB has utility as a theoretical framework to understand prostate cancer survivors' sexual help-seeking decisions and may inform development of more effective interventions. Masculine beliefs were highly salient. Men who were more emotionally self-reliant and attributed greater importance to sex formed

Prostate cancer is the most common cancer affecting Australian men, with 1 in 7 males diagnosed before the age of 75 years and most now surviving long-term in the absence of adequate and accessible supportive care for their wellbeing. A substantive proportion of men with prostate cancer experience heightened psychological distress and ongoing unmet needs for supportive care in the domains of sexuality and psychosocial care. This perspective focuses on: men’s psychosocial and psychosexual needs; the role of exercise in survivorship care; health economics; and geographic and sociodemographic disparities in outcomes. It is proposed that prostate cancer survivorship research, translation and education needs to articulate with key factors that influence the acceptability and uptake of services. Stepped care approaches are also needed to meet the challenges of increasing prostate cancer prevalence taking into account constraints in health care resources and unique barriers to care such as geographic location, health literacy, and other aspects of social disadvantage. Finally, close linkage to to community with the patient and family placed at the centre of the care model will be crucial.

The experience of prostate cancer is for most men a major life stress with the psychological burden of this disease falling more heavily on those who are younger. Despite this, being young as it applies to prostate cancer is not yet clearly defined with varied chronological approaches applied. However, men’s responses to health crises are closely bound to life course and masculinities from which social roles emerge. This paper applied qualitative methodology (structured focus groups and semistructured interviews with expert informants) using interpretative phenomenological analysis to define what it means to be young and have prostate cancer. Structured focus groups were held with 26 consumer advisors (men diagnosed with prostate cancer who provide support to other men with prostate cancer or raise community awareness) and health professionals. As well, 15 men diagnosed with prostate cancer and in their 40s, 50s, or 60s participated in semi-structured interviews. Participants discussed the attributes that describe a young man with prostate cancer and the experience of being young and diagnosed with prostate cancer. Chronological definitions of a young man were absent or inconsistent. Masculine constructions of what it means to be a young man and life course characteristics appear more relevant to defining young as it applies to prostate cancer compared with chronological age. These findings have implications for better understanding the morbidities associated with this illness, and in designing interventions that are oriented to life course and helping young men reconstruct their identities after prostate cancer.

A survey of yoghurt consumption by female consumers in Beijing showed 42% consuming often, 26% occasionally and 32% never. Consumers were generally younger and more driven by materialistic values than non-consumers. "Social drivers" are presented as a 1001 for marketers to predict the use of consumer products.