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Objective: Lifetime Health Cover (LHC) was introduced in mid-2000 to increase participation in private health insurance that includes hospital cover (PHI-HC) and improve the risk profile of PHI-HC participants. It initially achieved both objectives, but since 2001 the PHI-HC population has aged faster than the general population. The aim of this study was to determine if the excess ageing of the PHI-HC risk pool has been due to passive age-based adverse selection, an inherent risk of LHC. This study has potential implications for the retention of LHC. Methods: A descriptive population-level analysis of publicly available administrative datasets was performed. Data relating to PHI-HC were obtained from the Australian Prudential Regulatory Authority. National population data were obtained from the Australian Bureau of Statistics. Trends in demography, PHI-HC participation rates and LHC loading payments were analysed. Results: By 2021, age-based adverse selection had returned to the pre-LHC level. Based on the available data, this was due to passive age-based adverse selection not active age-based adverse selection. Specifically, it reflected the combination of an avoidable unintended consequence of the introduction of LHC (the over-representation, in 2001, of individuals aged 45–59) and one of LHC's intended effects (incentivisation of insured individuals to retain PHI-HC). Conclusions: This study supports the retention of LHC. Nonetheless, it highlights the risk of passive age-based adverse selection created by incentivising insured individuals to retain PHI-HC in the presence of distortions in the age distribution of the PHI-HC risk pool. Early targeted interventions are required when such distortions arise. What is known about the topic? Since the introduction of Lifetime Health Cover (LHC) in mid-2000, the participation rate for private health insurance that includes hospital cover (PHI-HC) has remained relatively stable, but the PHI-HC population has aged faster than the general population. What does this paper add? This paper makes a novel distinction between 'active' and 'passive' age-based adverse selection to explain LHC's role in the excess ageing of the PHI-HC risk pool. What are the implications for practitioners? Governments need to be vigilant for the emergence of distortions in the age distribution of the PHI-HC risk pool and respond with targeted interventions to normalise the age distribution, or risk problematic passive age-based adverse selection. [ABSTRACT FROM AUTHOR]

Telerehabilitation is an appealing service delivery option for optimising recovery. Internationally, the equity of telerehabilitation services for people from culturally and linguistically diverse (CALD) backgrounds has been questioned. Using a 31-item survey, our study explored the access, readiness and willingness of 260 patients receiving allied health services from a large tertiary health service located in Sydney, Australia, to use telerehabilitation for adults. Overall, 72% patients reported having access to technology, 38% met our readiness criteria and 53% reported willingness to engage in telerehabilitation. There were no differences in access, readiness and willingness to engage in telerehabilitation between patients from CALD and non-CALD backgrounds. Age was the only factor that influenced access (OR = 0.94, 95% CI 0.90 to 0.97), readiness (OR = 0.95, 95% CI 0.92 to 0.98) and willingness (OR = 0.97, 95% CI 0.95 to 1.00) to engage in telerehabilitation. Past experience of telerehabilitation was related to willingness (OR = 2.73, 95% CI 1.55–4.79) but not access (OR = 1.79, 95% CI 0.87 to 3.68) or readiness (OR = 1.90, 95% CI 0.93 to 3.87). Our findings highlight the importance of ensuring positive patient experiences to promote ongoing willingness to use telerehabilitation. Efforts are needed to improve patients' digital health literacy, especially patients from older age groups, to ensure equitable engagement in telerehabilitation services. [ABSTRACT FROM AUTHOR]

Background: Predicting length of time to death once the person is unresponsive and deemed to be dying remains uncertain. Knowing approximately how many hours or days dying loved ones have left is crucial for families and clinicians to guide decision-making and plan end-of-life care. Aim: To determine the length of time between becoming unresponsive and death, and whether age, gender, diagnosis or location-of-care predicted length of time to death. Design: Retrospective cohort study. Time from allocation of an Australia-modified Karnofsky Performance Status (AKPS) 10 to death was analysed using descriptive narrative. Interval-censored survival analysis was used to determine the duration of patient's final phase of life, taking into account variation across age, gender, diagnosis and location of death. Setting/participants: A total of 786 patients, 18 years of age or over, who received specialist palliative care: as hospice in-patients, in the community and in aged care homes, between January 1st and October 31st, 2022. Results: The time to death after a change to AKPS 10 is 2 days (n = 382; mean = 2.1; median = 1). Having adjusted for age, cancer, gender, the standard deviation of AKPS for the 7-day period prior to death, the likelihood of death within 2 days is 47%, with 84% of patients dying within 4 days. Conclusion: This study provides valuable new knowledge to support clinicians' confidence when responding to the 'how long' question and can inform decision-making at end-of-life. Further research using the AKPS could provide greater certainty for answering 'how long' questions across the illness trajectory. [ABSTRACT FROM AUTHOR]

Purpose: Schools have long been perceived as an ideal setting to support the healthy eating behaviours of children. The aim of the study was to examine the views of Australian primary school parents regarding school food and nutrition, including education, practices and policy. Design/methodology/approach: An online survey was conducted among 787 parents in March 2021, which included closed and open-ended questions. Findings: The results indicated the inconsistent implementation of policies and/or varying practices among different schools. Parents' views were slightly associated with some demographic and personal measures including their SES levels, education, age, the main language spoken at home and universalism values. Parents viewed healthy food provision through canteens, policies and informing parents, fruit and vegetable breaks and kitchen and garden programs as the main contributors to the promotion of healthy eating. They believed unhealthy options in canteens, school fairs, events and birthdays are the major contributors to the formation of unhealthy eating habits among children at schools. Results revealed the efforts to establish health promoting school food environments in Australian primary schools; however, inconsistencies and discrepancies among schools should be addressed to ensure equity among all children. Practical implications: The findings may provide directions for policymakers and school managers and can inform future reforms and initiatives in Australian primary schools and elsewhere. Originality/value: This is the first study that has examined Australian parents' views of school food policy, practices and environments using a mixed-methods design. [ABSTRACT FROM AUTHOR]