Introduction: People with a mental health condition experience disproportionate morbidity and mortality compared to the general population. This inequity has been largely attributed to a higher prevalence of chronic disease risk behaviours including smoking, poor nutrition, harmful alcohol consumption and inadequate physical activity (‘SNAP risks’). Suboptimal sleep is highly prevalent among people with a mental health condition and, as an identified risk behaviour for several chronic diseases, has been implicated as an additional contributor to this health inequity. Research involving people without a mental health condition suggests associations between poor sleep and each SNAP risk; however, interactions with mental health status have not been reported in an Australian population. This study explored associations between suboptimal sleep and all four SNAP risks, and assessed whether they vary by mental health status. Materials and Methods: A descriptive study (n = 1265) was undertaken using self-report data from a cross-sectional telephone survey of Australian adults. Based on national guidelines and recommendations that indicate when someone might be at risk of adverse health effects, SNAP risks and sleep variables were reduced to two levels: ‘at risk’ or ‘not at risk’; and ‘appropriate’ or ‘suboptimal’, respectively. Chi square tests and multivariable logistic regression models explored associations between suboptimal sleep, SNAP risks and mental health status. Results: Fifteen per cent (n = 184) of participants identified as having a mental health condition in the past 12 months. Being at risk of adverse health effects due to smoking had the strongest association with several measures of suboptimal sleep (ps < 0.05). Two-way interactions revealed that being at risk of adverse health effects due to alcohol use and physical inactivity resulted in a significantly greater likelihood of suboptimal sleep duration (OR 3.06, 95% CI 1.41 to 6.64; OR 3.06, 95% CI 1.41 to 6.69) and nap duration (OR 7.96, 95% CI 1.90 to 33.22), respectively, for people with a mental health condition compared to those without. Conclusions: The findings suggest associations between suboptimal sleep and smoking, risky alcohol consumption and physical inactivity, with the latter two perhaps being stronger among people with a mental health condition compared to those without such a condition. Poor sleep should be considered in interventions to address smoking, alcohol and physical activity; and vice versa. This study lends further support for the value of multirisk lifestyle interventions to promote physical and mental health for people with mental health conditions.

When we started this project, we wondered whether the culture of forensic nursing practice was antithetical to the values of a palliative approach. Instead, we found several parallels between forensic nurses' moral identities and palliative philosophy. These findings have implications for how we think about the palliative approach in contexts not typically associated with palliative care, but in which patients will increasingly age and die.

Background Using delirium clinical guidelines may align interprofessional clinical practice and improve the care of delirious patients and their families. The aim of this project was to adapt, implement and evaluate an interprofessional modular delirium clinical practice guideline for an inpatient palliative care unit. Methods The setting was a 31-bed adult inpatient palliative care unit within a university-affiliated teaching hospital. Participants for the evaluation were interprofessional team members. Using integration of guideline adaptation and an education initiative, an interprofessional guideline adaptation group developed a face-to-face ‘starter kit’ module and four online self-learning modules. The mixed methods evaluation comprised pre-and post-implementation review of electronic patient records, an online survey, and analysis of focus groups/ interviews using an iterative, inductive thematic analysis approach. Results Guideline implementation took 12 months. All palliative care unit staff attended a ‘starter kit’ session. Overall completion rate of the four e-Learning modules was 80.4%. After guideline implementation, nursing documentation of non-pharmacological interventions occurring before medication administration was observed. There was 60% less scheduled antipsychotic use and an increase in ‘as needed’ midazolam use. The online survey response rate was 32% (25/77). Most participants viewed the guideline’s implementation favourably. Six key themes emerged from the qualitative analysis of interviews and focus groups with ten participants: prior delirium knowledge or experiences, challenges of facilitating change, impacts on practice, collaborative effort of change, importance of standardized guidelines, and utility of guideline elements. Conclusions Guideline implementation warrants concerted effort, time, and management support. Interprofessional team support facilitates the modular approach of guideline adaptation and implementation, leading to a change in clinical practice.

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