The prognosis for people with lung cancer may be worsened by delays in seeking medical help following the onset of symptoms. Previous research has highlighted that patients’ experiences of stigma and blame may contribute to these delays. This short report focuses on stigma as a barrier to diagnosis of lung cancer, from patient and general practitioner (GP) perspectives. Semi-structured interviews were conducted with people diagnosed with lung cancer (n=20) and with GPs (n=10) in New South Wales, Australia. Participants’ experiences of blame and stigma, GPs preconceptions of lung cancer risk and the impact of anti-smoking messaging were explored. Participants reported experiencing stigma owing to a diagnosis of lung cancer. For some, the anticipation of stigma resulted in delays in seeking diagnosis and hence treatment. The sense of blame associated with a lung cancer diagnosis was also reflected in GP interviews. Successful tobacco control activities have increased societal awareness of lung cancer as smoking related and potentially contributed to the participants’ experiences of stigma. Removing blame associated with smoking is central to reducing delays in diagnosis of lung cancer.
Aim:To investigate the effects of inhaler device technique education on improving inhaler technique in older people with asthma.Methods:In a randomised controlled trial, device technique education was provided to a sample of 123 adults aged >55 years who had a doctor diagnosis of asthma. The active education group received one-on-one technique coaching, including observation, verbal instruction and physical demonstration at baseline. The passive group received a device-specific instruction pamphlet only. Inhaler technique, including the critical steps for each device type, was assessed and scored according to Australian National Asthma Council (NAC) guidelines. Device technique was scored objectively at baseline and again at 3 and 12 months post education.Results:The majority of participants demonstrated poor technique at baseline. Only 11 (21%) of the active intervention group and 7 (16%) of the passive group demonstrated 100% correct technique. By 3 months 26 (48%) of the active group achieved adequate technique. Improvement in technique was observed in the active group at 3 months (P<0.001) and remained significant at 12 months (P<0.001). No statistically significant improvement was observed in the passive group.Conclusion:The provision of active device technique education improves device technique in older adults. Passive education alone fails to achieve any improvement in device technique.
BackgroundLung cancer is the leading cause of cancer death in Australia. There is potential that health promotion about the risks and warning signs of lung cancer could be used to reduce delays in symptom presentation when symptoms are first detected. This study investigated knowledge, attitudes and beliefs which might impact help-seeking behaviour and could provide insight into possible public health interventions in New South Wales (NSW).MethodsA convergent mixed method study design was used wherein data from 16 qualitative focus groups of residents (40+ years), purposefully recruited and stratified by smoking status, age and geography (metropolitan/regional), were compared with a CATI administered population-wide telephone survey (n = 1,000) using the Cancer Research UK cancer awareness measure (LungCAM). Qualitative findings were analysed thematically using NVIVO. Logistic regression analysis was used to investigate predictors of symptom knowledge in STATA. Findings were integrated using triangulation techniques.ResultsAcross focus groups, haemoptysis was the only symptom creating a sense of medical urgency. Life experiences evoked a ‘wait and see’ attitude to any health deterioration. Perceived risk was low amongst those at risk with current smokers preferring to deny their risk while former smokers were generally unaware of any ongoing risk. The quantitative sample consisted of females (62 %), 40–65 years (53 %), low SES (53 %), former (46 %) and current smokers (14 %). In quantitative findings, haemoptysis and dyspnoea were the most recognised symptoms across the sample population. Age (<65 years), sex (female) and high socio-economic status contributed to a higher recognition of symptoms. Smoking was recognised as a cause of lung cancer, yet ever-smokers were less likely to recognise the risk of lung cancer due to second-hand smoke (OR 0.7 95 % CI 0.5–0.9).ConclusionWhile there was some recognition of risk factors and symptoms indicative of lung cancer, there was disparity across the sample population. The qualitative findings also suggest that knowledge may not lead to earlier presentation; a lack of urgency about symptoms considered trivial, and smoking-related barriers such as stigma may also contribute to time delays in presentation. Public health interventions may be required to increase awareness of risk and emphasise the importance of seeking medical attention for ongoing symptoms.
BackgroundSkin cancer is one of the most common cancers in the world. The increased incidence of skin cancer, combined with limited health care resources and tight budgetary conditions, has increased the importance of understanding the economic impact of skin cancer. This research estimates the economic cost of skin cancer in the Australian state of New South Wales.MethodAn incidence based approach is used to estimate lifetime costs of skin cancer. Both direct and indirect costs are considered - direct costs include resources associated with the management of skin cancer and indirect costs refer to productivity costs associated with morbidity and premature mortality. Diagnosis of skin cancer was determined according to ICD-10 codes using principal diagnosis. Linked administrative data and regression modelling are used to calculate costs; presented as Australian dollars for the year 2010. The human capital approach is used to value present and future productivity losses.ResultsThe lifetime cost of the 150,000 incident cases of skin cancer diagnosed in NSW in 2010 is estimated at $536 million ($44,796 per melanoma and $2459 per non-melanoma). Direct costs accounted for 72 % of costs ($10,230 per melanoma and $2336 per non-melanoma) and indirect costs accounted for 28 % of costs ($34,567 per melanoma and $123 per non-melanoma). Direct costs are, on average, higher for females than males with indirect costs, on average, higher for males than females.ConclusionThis research provides new evidence on the economic cost of skin cancer and provides policy makers with information of the potential monetary savings that may arise from efforts to reduce the incidence of skin cancer.
BackgroundGiven increasing investment in new cycling infrastructure, it is important to understand its impacts. The Sydney Transport and Health Study evaluates a new 2.4 km bi-directional separated bicycle path in inner-Sydney. This paper describes the users of the new bicycle path, and examines its short-term impacts upon cycling behaviour and perceptions of the local environment.MethodsData were collected from two bike counts at two intersections on the new bicycle path in the intervention area in 2013 and 2014. On-line surveys collected individual participant data in the intervention area and a similar comparison area before the bicycle path was built (2013), and 12 months later (four months after completion) (n = 512). The data included self-reported cycling behaviour, use of the new bicycle path and perceptions of changes in the local environment.ResultsBike counts at two sites on the new bicycle path reported an increase of 23 % and 97 % respectively at 12 months. However, among the participants in the cohort, there was no change in the self-reported weekly frequency of cycling. One in six (approximately 15 %) participants reported using the new bicycle path, with most users (76 %) living in the intervention area. Bicycle path users were most likely to be frequent riders (at least weekly) [adjusted odds ratio (AOR) = 7.50, 95 % CI 3.93–14.31], be a high intensity recreational rider (AOR = 4.38, 95 % CI 1.53–12.54) or a low intensity transport rider (AOR = 2.42, 95 % CI 1.17–5.04) and live closer to the bicycle path (AOR = 1.24, 1.13–1.37). Perceptions that the neighbourhood was more pleasant, that there were more people walking and cycling were significantly higher in the intervention area at 12 months (both P values <0.05).ConclusionsExisting cycling behaviour and proximity to the bicycle path were associated with the use of the new bicycle path. Increased use of the new bicycle path as reported by the participants in the intervention area and increased cycling recorded by the bike counts may be due to existing cyclists changing routes to use the new path, and more cyclists from outside the study area using the new path, as study participants did not increase their frequency of cycling. Increases in cycling frequency in the intervention neighbourhood may require a longer lead time, additional promotional activities and further maturation of the Sydney bicycle path network.Key messageUnderstanding how new cycling infrastructure impacts communities can influence the promotion of such infrastructure.
Issue addressed Complex health promotion programs, which can have multilevels of implementation and multi‐components with nonlinear causal pathways, present many evaluation challenges. Traditional evaluation methods often fail to account for the complexity inherent in assessing these programs. In real‐world settings, evaluations of complex programs are often beset by additional constraints of limited budgets and short timeframes. Determining whether a complex program is successful and how a program worked requires evaluators of complex programs to adopt a level of pragmatism. Methods This paper describes a pragmatic evaluation approach used to evaluate the Get Healthy at Work workplace health promotion program, implemented in New South Wales, Australia. Using the program as a case study, we describe some key principles for applying a pragmatic evaluation approach and use these principles to develop an appropriate evaluation strategy. Results The evaluation includes multiple research methods to assess program outputs and implementation; and identify emergent program impacts, within constrained resources. The evaluation was guided by epistemological flexibility, methodological comprehensiveness and operational practicality. Conclusion Health promotion programs, such as state‐wide obesity prevention programs, require appropriate evaluation methods which address their inherent complexity amidst the real‐world evaluation constraints, and focuses on the essential evaluation needs. So what The main complex program evaluation principles are applicable to other multilevel health promotion programs, challenged by methodological and practical or political constraints.
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