David Lyle

A review of health effects of aircraft noise

Abstract: Social surveys have established dose–response relationships between aircraft noise and annoyance, with a number of psychological symptoms being positively related to annoyance. Evidence that exposure to aircraft noise is associated with higher psychiatric hospital admission rates is mixed. Some evidence exists of an association between aircraft noise exposure and use of psychotropic medications. People with a pre–existing psychological or psychiatric condition may be more susceptible to the effects of exposure to aircraft noise. Aircraft noise can produce effects on electroencephalogram sleep patterns and cause wakefulness and difficulty in sleeping. Attendances at general practitioners, self–reported health problems and use of medications, have been associated with exposure to aircraft noise, but some findings are inconsistent.

Accelerated rehabilitation after proximal femoral fracture: a randomized controlled trial.

This randomized controlled trial compared accelerated rehabilitation after surgical treatment of proximal femoral fracture with conventional care and was conducted in a general hospital in an outer urban area. Participating were 261 sequentially admitted patients over the age of 50 years who met predetermined inclusion criteria and all were followed up until death or 4 months after fracture. Patients who were treated with the accelerated rehabilitation programme had a 20% reduction in length of hospital stay. Improved physical independence (as measured by Barthel Index) was observed after fracture in accelerated rehabilitation programme patients with limited pre-existing disability. Non-nursing-home patients receiving accelerated rehabilitation were also less likely to be discharged to nursing-home care or die in hospital. Accelerated rehabilitation led to a substantial reduction in length of hospital stay with a modest short-term improvement in level of physical independence and accommodation status after discharge.

Cost effectiveness of accelerated rehabilitation after proximal femoral fracture.

A randomised controlled trial comparing an accelerated rehabilitation program after proximal femoral fracture with conventional care and rehabilitation was conducted with 252 elderly patients treated at an Australian general hospital in 1989/1990. This paper presents a cost-effectiveness analysis of the accelerated rehabilitation program. The measure of cost was all direct costs of treatment and subsequent care (medical and non-medical) incurred during the 4 months after fracture. Effectiveness was defined as whether the patient returned to semi-independent living; or if moderately or severely disabled prior to the fracture to the premorbid level of physical independence. The cost for treatment up to 4 months after fracture was estimated at A

Mental health and well-being within rural communities: The Australian Rural Mental Health Study

10,600 per accelerated rehabilitation patient and A

Mass media-led antismoking campaign can remove the education gap in quitting behavior

12,800 per conventional care patient (1990 Australian dollars, A

‘Making evidence count’: A framework to monitor the impact of health services research

). Thus, accelerated rehabilitation releases resources equivalent to approximately 17% of costs for treatment per patient. When cost effectiveness is considered, the potential cost savings rise to 38% per recovered patient.

Reduced mortality among Department of Veterans Affairs patients with schizophrenia or bipolar disorder lost to follow-up and engaged in active outreach to return for care.

OBJECTIVE This paper outlines the methods and baseline data from a multisite cohort study of the determinants and outcomes of mental health and well-being within rural and remote communities. METHODS A stratified random sample of adults was drawn in non-metropolitan New South Wales using the Australian Electoral Roll, with the aim of recruiting all adult members of each household. Surveys assessed psychological symptoms, physical health and mental disorders, along with individual-, family/household- and community-level characteristics. A stratified subsample completed a telephone-administered World Mental Health-Composite International Diagnostic Interview (World Mental Health-3.0). Proxy measures of child health and well-being were obtained. Follow up of this sample will be undertaken at one, three and five years. RESULTS A total of 2639 individuals were recruited (1879 households), with 28% from remote/very remote regions. A significant relationship was found between recent distress (Kessler-10 scores), age and remoteness, with a linear reduction of Kessler-10 scores with age and the lowest mean scores in remote regions. CONCLUSIONS Existing rurality categories cannot address the diverse socio-cultural, economic and environmental characteristics of non-metropolitan regions. While it has limitations, the dataset will enable a fine-grained examination of geographic, household and community factors and provide a unique longitudinal dataset over a five-year period.

Predictors of primary care referrals to a vascular disease prevention lifestyle program among participants in a cluster randomised trial

This study investigated whether the effective mass media-led antismoking campaigns in Australia had the traditional differential effect across educational levels. Our population surveys included random samples of 12,851 people before the campaign and 11,609 several years after the campaign had started. No statistically significant differences were found in quitting across education levels in three of the four subgroups. Mass media-led antismoking campaigns may play an important role in getting the antismoking message to the less educated.

Managing environmental lead in Broken Hill: a public health success.

OBJECTIVES The objective of this study is to develop a framework to measure the impact of primary health care research, describe how it could be used and propose a method for its validation. DESIGN Literature review and critical appraisal of existing models of research impact, and integration of three into a comprehensive impact framework. SETTING Centre of Research Excellence focusing on access to primary health care services in Australia. PARTICIPANTS Not applicable. INTERVENTIONS Not applicable. MAIN OUTCOME MEASURE The Health Services Research Impact Framework, integrating the strengths of three existing models of research impact. CONCLUSION In order to ensure relevance to policy and practice and to provide accountability for funding, it is essential that the impact of health services research is measured and monitored over time. Our framework draws upon previously published literature regarding specific measures of research impact. We organise this information according to the main area of impact (i.e. research related, policy, service and societal) and whether the impact originated with the researcher (i.e. producer push) or the end-user (i.e. user pull). We propose to test the utility of the framework by recording and monitoring the impact of our own research and that of other groups of primary health care researchers.

Factors influencing participation in a vascular disease prevention lifestyle program among participants in a cluster randomized trial

OBJECTIVES We determined whether contacting Department of Veterans Affairs (VA) patients with schizophrenia or bipolar disorders (serious mental illness [SMI]) who had dropped out of care for prolonged periods resulted in reengagement with VA services and decreased mortality. METHODS We developed a list of patients with SMI who were last treated in fiscal years 2005 to 2006, and were lost to follow-up care for at least 1 year. VA medical centers used our list to contact patients and schedule appointments. Additional VA administrative data on patient utilization and mortality through May 2009 were analyzed. RESULTS About 72% (2375 of 3306) of the patients who VA staff attempted to contact returned for VA care. The mortality rate of returning patients was significantly lower than that for patients not returning (0.5% vs 3.9%; adjusted odds ratio = 5.8; P < .001), after demographic and clinical factors were controlled. CONCLUSIONS The mortality rate for returning patients with SMI was almost 6 times less than for those who did not return for medical care. Proactive outreach might result in patients returning to care and should be implemented to reengage this vulnerable group.