Objectives: To determine the rate of prescription of and government expenditure for domiciliary oxygen therapy (DOT) in Australia, and to identify interstate differences in rates, costs and service provision. Design: Retrospective observational study. Participants and setting: Government departments and health services (state and federal) that funded DOT in Australia in the 2004–05 financial year (including the Department of Veterans’ Affairs [DVA] and the Department of Health and Ageing [DoHA]). Main outcome measures: Prescription rates, cost of DOT in 2004–05, and services provided in each jurisdiction. Results: In 2005, 20 127 patients were using DOT, giving a national prevalence of 100 prescriptions per 100 000 population. The total cost was about $31 million. State governments, the DVA and the DoHA funded 13 899 (69%), 4084 (20%) and 2144 (11%) patients, respectively. Prescription rates varied threefold between the states, ranging from 44 (Northern Territory) to 133 (Tasmania) per 100 000 population. Cost per patient per year varied fourfold between the DVA and the DoHA. All jurisdictions funded oxygen according to the clinical criteria of the Thoracic Society of Australia and New Zealand, but considerable variability in service provision was identified. Conclusion: DOT prescription rates and costs vary considerably between jurisdictions. An urgently needed national DOT register would enable the current variability to be understood and allow service planning and benchmarking of clinical outcomes.
Background Although many smoking cessation smartphone apps exist, few have been independently evaluated, particularly in older populations. In 2017, of the 112 commercially available smoking cessation apps in Australia, only 6 were deemed to be of high quality, in that they partially adhered to Australian guidelines. Mobile health (mHealth) apps have the potential to modify smoking behavior at a relatively low cost; however, their acceptability in older smokers remains unknown. Rigorous scientific evaluation of apps is thus urgently needed to assist smokers and clinicians alike. Objective We conducted a pilot randomized controlled trial to evaluate the feasibility of a large-scale trial to assess the use and acceptability of a high-quality smoking cessation app in older smokers. Methods Adult inpatient and outpatient smokers with computer and smartphone access were recruited face to face and via telephone interviews from Metropolitan Hospitals in Brisbane, Australia. Participants were randomized 1:1 to the intervention (requested to download the “My QuitBuddy” smoking cessation app on their smartphone) or the control group (provided access to a tailored smoking cessation support webpage [Quit HQ]). The My QuitBuddy app is freely available from app stores and provides personalized evidenced-based smoking cessation support. Quit HQ offers regular email support over 12 weeks. No training or instructions on the use of these e-resources were given to participants. Outcomes at 3 months included recruitment and retention rates, use and acceptability of e-resource (User Version of the Mobile App Rating Scale [uMARS]), changes in quitting motivation (10-point scale), and self-reported smoking abstinence. Results We randomized 64 of 231 potentially eligible individuals (27.7%). The mean age of participants was 62 (SD 8). Nicotine dependence was moderate (mean Heaviness of Smoking Index [HSI] 2.8 [SD 1.2]). At 3 months the retention rate was (58/64, 91%). A total of 15 of 31 participants in the intervention arm (48%) used the app at least once, compared with 10 of 33 (30%) in the control arm. uMARS scores for e-resource use and acceptability were statistically similar (P=.29). Motivation to quit was significantly higher in the intervention arm compared with the control arm (median 6 [IQR 4-8] versus 4 [IQR 4-5], respectively, P=.02). According to the intention-to-treat analysis, smoking abstinence was nonsignificantly higher in the intervention group (4/31 [13%], 95% CI 4%-30%, versus 2/33 [6%], 95% CI 1%-20%; P=.42). The estimated number needed to treat was 14. Conclusions Internet and mHealth smoking cessation resources appear acceptable to a minority of older smokers. Smokers who engaged with the allocated e-resources rated them equally, and there were trends toward greater uptake, increased motivation, and higher abstinence rates in the app group; however, only the change in motivation reached statistical significance (median score 6 versus 4, respectively, P=.02). This results of this pilot study suggest that apps may improve quit outcomes in older adults who are willing to use them. Further research into user–app interactions should be undertaken to facilitate improvements in app design and consumer engagement. These favorable trends should be explored in larger trials with sufficient statistical power. Trial Registration Australian New Zealand Clinical Trials Registry ACTRN12619000159156; http://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=376849&isReview=true
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