Perceptions of the influence of prescription medicine samples on prescribing by family physicians

Background: The provision of free prescription medicine samples is a common and traditional marketing strategy used by pharmaceutical companies, but concerns have been raised about their influence on physician prescribing behavior and patient safety. Objective: We sought to investigate the knowledge, attitudes, and behaviors of Australian family physicians regarding the use of sample prescription medications. Methods: Qualitative and quantitative techniques were used, including (1) mailed questionnaires to family physicians, (2) semistructured interviews with family physicians, and (3) sample cupboard inventories. Results: A number of issues about samples were identified by the questionnaires (208) and interviews (17 doctors), including insufficient labeling, poor record keeping, diversion of stock (personal use by doctors.. their families, practice staff and pharmaceutical representatives), and wasting of expired stock. Prescription medicine samples also influenced prescribing behavior. Australian doctors were less likely to provide samples to patients on financial grounds compared with a previous study in the United States on medical residents. Six sample cupboards were inventoried. Median wholesale value of sample cupboards was AUD $4959 (range $2395-$8709), with 6% of stock expired. Very little generic medicine was included in the sample cupboards. Conclusions: Better methods are needed to meet legislative requirements and to ensure quality use of medicines (and optimal public health) with respect to prescription medicine samples. Doctors and practice staff require training on the appropriate handling and storage of prescription medications. Alternative ways for distribution of sample medications need to be investigated.

A process for the systematic review of community-based rehabilitation evaluation reports: formulating evidence for policy and practice

A methodological framework for conducting a systematic, mostly qualitative, meta-synthesis of community-based rehabilitation (CBR) project evaluation reports is described. Developed in the course of an international pilot study, the framework proposes a systematic review process in phases which are strongly collaborative, methodologically rigorous and detailed. Through this suggested process, valuable descriptive data about CBR practice, strategies and outcomes may be synthesized. It is anticipated that future application of this methodology will contribute to an improved evidence base for CBR, which will facilitate the development of more appropriate policy and practice guidelines for disability service delivery in developing countries. The methodology will also have potential applications in areas beyond CBR, which are similarly. evidence poor' (lacking empirical research) but 'data rich' (with plentiful descriptive and evaluative reports).

Evaluation of the healthy village program in Kapit district, Sarawak, Malaysia

Sarawak, Malaysia has a large population of ethnic minorities who live in longhouses in remote rural areas where poverty, non-communicable diseases, accidents and injuries, environmental hazards and communicable diseases all contribute to a lower quality of life than is possible to achieve in these regions. To address these issues and improve the quality of life for longhouse people, the Kapit Divisional Health Office implemented the World Health Organization's Healthy Village programme in 2000. An evaluation was undertaken in 2003 to determine physical and behavioural changes resulting from the programme. The main changes evaluated were those involving smoking habits, exercise habits, health screening, fire safety, environmental improvements and food preparation and hygiene. A qualitative evaluation was conducted using participant observation and key-informant interviews, focus groups and observation. Results indicate that the programme is inspiring changes in various behavioural and physical characteristics of the study population. It is clear that the Healthy Village programme is a widely accepted way of improving health outcomes in longhouses, and that it is succeeding in making beneficial health changes.

Field evaluation of passive samplers: Monitoring polycyclic aromatic hydrocarbons (PAHs) in stormwater

The aim of this study was to evaluate the feasibility of using semipermeable membrane devices (SPMDs) and polyethylene-based passive sampler devices (PSDs) for monitoring PAHs in stormwater. Firstly, SPMDs were deployed at one site and SPMD-derived water concentrations were compared with water concentration measured from grab samples. In a subsequent deployment the performance of SPMDs and PSDs was compared. Finally PSDs of multiple surface area to volume ratios were used to compare PAH concentrations at the two sites. The results obtained in this study show that SPMDs can be used to measure the water concentration of PAHs with reasonable accuracy, when compared with grab samples collected at the same site. Importantly, several PAHs which could not be detected in a 10 L grab sample could be detected in the SPMDs. PSD and SPMD samplers produced similar results when deployed at the same site, with most estimated water concentrations within a factor of 1.5. The use of PSDs in multiple surface area to volume ratios proved to be an effective means of characterizing the uptake kinetics for PAHs in situ. Overall passive water samplers proved to be an efficient technique for monitoring PAHs in stormwater.

Predictive validity of three ActiGraph energy expenditure equations for children

Purpose: This Study evaluated the predictive validity of three previously published ActiGraph energy expenditure (EE) prediction equations developed for children and adolescents. Methods: A total of 45 healthy children and adolescents (mean age: 13.7 +/- 2.6 yr) completed four 5-min activity trials (normal walking. brisk walking, easy running, and fast running) in ail indoor exercise facility. During each trial, participants were all ActiGraph accelerometer oil the right hip. EE was monitored breath by breath using the Cosmed K4b(2) portable indirect calorimetry system. Differences and associations between measured and predicted EE were assessed using dependent t-tests and Pearson correlations, respectively. Classification accuracy was assessed using percent agreement, sensitivity, specificity, and area under the receiver operating characteristic (ROC) curve, Results: None of the equations accurately predicted mean energy expenditure during each of the four activity trials. Each equation, however, accurately predicted mean EE in at least one activity trial. The Puyau equation accurately predicted EE during slow walking. The Trost equation accurately predicted EE during slow running. The Freedson equation accurately predicted EE during fast running. None of the three equations accurately predicted EE during brisk walking. The equations exhibited fair to excellent classification accuracy with respect to activity intensity. with the Trost equation exhibiting the highest classification accuracy and the Puyau equation exhibiting the lowest. Conclusions: These data suggest that the three accelerometer prediction equations do not accurately predict EE on a minute-by-minute basis in children and adolescents during overground walking and running. The equations maybe, however, for estimating participation in moderate and vigorous activity.

Estimating cause-specfic mortality from community- and facility-based data sources in the United Republic of Tanzania: options and implications for mortality burden estimates

Objective To compare mortality burden estimates based on direct measurement of levels and causes in communities with indirect estimates based on combining health facility cause-specific mortality structures with community measurement of mortality levels. Methods. Data from sentinel vital registration (SVR) with verbal autopsy (VA) were used to determine the cause-specific mortality burden at the community level in two areas of the United Republic of Tanzania. Proportional cause-specific mortality structures from health facilities were applied to counts of deaths obtained by SVR to produce modelled estimates. The burden was expressed in years of life lost. Findings. A total of 2884 deaths were recorded from health facilities and 2167 recorded from SVR/VAs. In the perinatal and neonatal age group cause-specific mortality rates were dominated by perinatal conditions and stillbirths in both the community and the facility data. The modelled estimates for chronic causes were very similar to those from SVR/VA. Acute febrile illnesses were coded more specifically in the facility data than in the VA. Injuries were more prevalent in the SVR/VA data than in that from the facilities. Conclusion. In this setting, improved International classification of diseases and health related problems, tenth revision (ICD-10) coding practices and applying facility-based cause structures to counts of deaths from communities, derived from SVR, appears to produce reasonable estimates of the cause-specific mortality burden in those aged 5 years and older determined directly from VA. For the perinatal and neonatal age group, VA appears to be required. Use of this approach in a nationally representative sample of facilities may produce reliable national estimates of the cause-specific mortality burden for leading causes of death in adults.

Modelling pre-clearing vegetation distribution using GIS-integrated statistical, ecological and data models: A case study from the wet tropics of Northeastern Australia

Traditional vegetation mapping methods use high cost, labour-intensive aerial photography interpretation. This approach can be subjective and is limited by factors such as the extent of remnant vegetation, and the differing scale and quality of aerial photography over time. An alternative approach is proposed which integrates a data model, a statistical model and an ecological model using sophisticated Geographic Information Systems (GIS) techniques and rule-based systems to support fine-scale vegetation community modelling. This approach is based on a more realistic representation of vegetation patterns with transitional gradients from one vegetation community to another. Arbitrary, though often unrealistic, sharp boundaries can be imposed on the model by the application of statistical methods. This GIS-integrated multivariate approach is applied to the problem of vegetation mapping in the complex vegetation communities of the Innisfail Lowlands in the Wet Tropics bioregion of Northeastern Australia. The paper presents the full cycle of this vegetation modelling approach including sampling sites, variable selection, model selection, model implementation, internal model assessment, model prediction assessments, models integration of discrete vegetation community models to generate a composite pre-clearing vegetation map, independent data set model validation and model prediction's scale assessments. An accurate pre-clearing vegetation map of the Innisfail Lowlands was generated (0.83r(2)) through GIS integration of 28 separate statistical models. This modelling approach has good potential for wider application, including provision of. vital information for conservation planning and management; a scientific basis for rehabilitation of disturbed and cleared areas; a viable method for the production of adequate vegetation maps for conservation and forestry planning of poorly-studied areas. (c) 2006 Elsevier B.V. All rights reserved.

What does the community think about lifespan extension technologies? The need for an empirical base for ethical and policy debates

Objectives: This paper examines public understandings of possibilities for increasing life expectancy, interest in taking up lifespan-extending interventions, and motivations influencing these intentions. Methods: Structured interviews were conducted with 31 adults, aged 50 and over. Results: Participants believed that technological advances would increase life expectancy but questioned the value of quantity over quality of life. Life in itself was not considered valuable without the ability to put it to good use. Participants would not use technologies to extend their own lifespan unless the result would also enhance their health. Conclusions: These findings may not be generalisable to the general public but they provide the first empirical evidence on the plausibility of common assumptions about public interest in 'anti-ageing' interventions. Surveys of the views of representative samples of the population are needed to inform the development of a research agenda on the ethical, legal and social implications of lifespan extension.