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Objective: The aim of this paper was to estimate the degree to which smoke-free facilities may facilitate smoking cessation in smokers with mental illness by estimating the proportion of smokers with mental illness who receive inpatient treatment, their smoking rates and average durations of stay. Method: Smoking and hospitalization rates were estimated from the Australian National Survey of Mental Health and Wellbeing. Information on duration of inpatient treatment was calculated from the Western Australian Mental Health Information System. Results: Of Australia's estimated 3 567 000 current adult smokers, 32.4% had a mental illness in the past 12 months, and 66.6% had a lifetime mental illness. However, only 1.4% of smokers were hospitalized for a mental health problem in the past 12 months, and 6.3% had ever been hospitalized for a mental health problem. Of those hospitalized for mental health treatment in the past 12 months, 61.2% were current smokers. In 2007 median duration of inpatient mental health admissions was 1 day, and 57% of admissions had duration of 2 days or less. Conclusions: The majority of smokers with mental illness are not treated in inpatient facilities, and where inpatient admissions occur they are generally of short duration. While smoking cessation is an important goal in treatment of smokers with mental illness, support after discharge from inpatient care is important for longer term cessation. Other strategies will be required to support smoking cessation efforts for the majority of smokers with mental illness not in contact with mental health services. [ABSTRACT FROM AUTHOR]

Aims: To determine if the Partners in Health scale, pertinent to assessing patient chronic condition self‐management, operates equivalently for men and women. Background: There are distinct gender‐based differences in self‐management behaviours and health perceptions. This may introduce non‐invariance in self‐report measures. Testing of measurement invariance is a recommended practice in nursing science to ensure robust metrics. Design: A representative cross‐sectional population survey in South Australian. Method: In 2014, 940 people responded to the South Australian Health Omnibus Survey, a battery of health‐related questions. MI and estimation of heterogeneity was tested using Bayesian confirmatory factor analysis. Results: Findings showed self‐management constructs were interpreted equivalently between men and women. Observed population heterogeneity associated lower education levels with poorer illness and treatment knowledge, smokers with poorer treatment partnerships and mental health problems with lower coping capacity. Conclusion: Approximate measurement invariance was achieved between men and women for Partners in Health scale. Impact: There is a lack of well‐validated generic instruments, including investigation into gender variability, for measuring chronic condition self‐management behaviours. Lower education levels were found to connect with poorer knowledge of health condition and treatment. Mental health problems attenuated ability to cope with the effect of the condition. Findings can facilitate the development of better tailored interventions for self‐management of patients' chronic condition/s. [ABSTRACT FROM AUTHOR]