Sex differences in the impact of multimorbidity on long-term mortality for patients with colorectal cancer: a population registry-based cohort study.

Background: Women have better survival than men patients with colorectal cancer (CRC), but the extent to which this is due to multimorbidity is unclear.

Methods: A population-based study of 1843 patients diagnosed with CRC in Australia. Data included patient's demographics, multimorbidity, tumour histology, cancer stage, and treatment.

Culturally responsive strategies and practical considerations for live tissue studies in Māori participant cohorts.

Introduction: Indigenous communities globally are inequitably affected by non-communicable diseases such as cancer and coronary artery disease. Increased focus on personalized medicine approaches for the treatment of these diseases offers opportunities to improve the health of Indigenous people. Conversely, poorly implemented approaches pose increased risk of further exacerbating current inequities in health outcomes for Indigenous peoples.

Within-Person Dynamics of Job Boredom and Counterproductive Work Behavior: A Latent Change Score Modeling Approach.

Job boredom is one of the most common negative affective states experienced in the workplace, yet also among the least well-understood. One stream of research suggests that employees frequently react to job boredom by engaging in counterproductive work behaviors (CWB). However, recent studies show the converse-that engaging in CWB relates to job boredom.

Factors impacting hospitalisation and related health service costs in cancer survivors in Australia: Results from a population data linkage study in Queensland (COS-Q).

Background: The global economic cost of cancer and the costs of ongoing care for survivors are increasing. Little is known about factors affecting hospitalisations and related costs for the growing number of cancer survivors. Our aim was to identify associated factors of cancer survivors admitted to hospital in the public system and their costs from a health services perspective.

Designing the Australian Cancer Atlas: visualizing geostatistical model uncertainty for multiple audiences.

Objective: The Australian Cancer Atlas (ACA) aims to provide small-area estimates of cancer incidence and survival in Australia to help identify and address geographical health disparities. We report on the 21-month user-centered design study to visualize the data, in particular, the visualization of the estimate uncertainty for multiple audiences.

Materials And Methods: The preliminary phases included a scoping study, literature review, and target audience focus groups.