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Biomedical subjects

John Gillies

Publications and source records attributed to John Gillies.

8 recordsLinked to original sources
PubMed2005

PHARMAC and Ventolin in New Zealand.

Recently, PHARMAC undertook an unfortunate experiment on asthma sufferers when it fundamentally changed its funding support for reliever medications. Ventolin metered dose inhaler (MDI), the backbone of asthma relief for over 30 years, was dropped in favour of Salamol, a post-patent salbutamol in a device which, within the first few weeks of use, has been found to be ineffective by many patients, and thus potentially dangerous. PHARMAC has agreed to reconsider its decision, but how was this decision reached in the first place?

Adult↗
PubMed2005

Spatial variability of unpaved road dust PM10 emission factors near El Paso, Texas.

The testing re-entrained aerosol kinetic emissions from roads technique is compared with distance-based emission factors (EFs; g/VKT) measured downwind of a dirt road by using towers instrumented with real-time meteorological and particle sensors at multiple heights. The emission potential (EP), defined as the EF divided by the vehicle speed (m/sec), and weight index permits the intercomparison of emissions from multiple roadways surveyed by the TRAKER vehicle. A survey of 72 km of unpaved roads on the Ft. Bliss Military Base near El Paso, Texas, indicated that 60% of all measured EPs fell between 6.7 (g/VKT)/(m/sec) and 9.6 (g/VKT)/(m/sec). The EP measured across the base was approximately 50% lower than those collected in the vicinity of the instrumented towers. This implies that EFs measured for other vehicles on the same test section should be reduced by 50% to more accurately represent EFs for the entire military base. Using geographic information system-based soil maps, the inferred EFs are related to differences in soil types over the survey area. Variations among five different soil types accounted for <10% of variation in EP. Individual measurements using the testing re-entrained aerosol kinetic emissions from roads technique did show larger spatial variations in EP; however, these were not effectively captured by the soil classifications, partly because of the comparatively coarse spatial classification used in the soil survey data.

Aerosols↗
PubMed2004

Deposition and removal of fugitive dust in the arid southwestern United States: measurements and model results.

This work was motivated by the need to better reconcile emission factors for fugitive dust with the amount of geologic material found on ambient filter samples. The deposition of particulate matter with aerodynamic diameter less than or equal to 10 microm (PM10), generated by travel over an unpaved road, over the first 100 m of transport downwind of the road was examined at Ft. Bliss, near El Paso, TX. The field conditions, typical for warm days in the arid southwestern United States, represented sparsely vegetated terrain under neutral to unstable atmospheric conditions. Emission fluxes of PM10 dust were obtained from towers downwind of the unpaved road at 7, 50, and 100 m. The horizontal flux measurements at the 7 m and 100 m towers indicated that PM10 deposition to the vegetation and ground was too small to measure. The data indicated, with 95% confidence, that the loss of PM10 between the source of emission at the unpaved road, represented by the 7 m tower, and a point 100 m downwind was less than 9.5%. A Gaussian model was used to simulate the plume. Values of the vertical standard deviation sigma(z) and the deposition velocity Vd were similar to the U.S. Environmental Protection Agency (EPA) ISC3 model. For the field conditions, the model predicted that removal of PM10 unpaved road dust by deposition over the distance between the point of emission and 100 m downwind would be less than 5%. However, the model results also indicated that particles larger than 10 microm (aerodynamic diameter) would deposit more appreciably. The model was consistent with changes observed in size distributions between 7 m and 100 m downwind, which were measured with optical particle counters. The Gaussian model predictions were also compared with another study conducted over rough terrain and stable atmospheric conditions. Under such conditions, measured PM10 removal rates over 95 m of downwind transport were reported to be between 86% and 89%, whereas the Gaussian model predicted only a 30% removal. One explanation for the large discrepancy between measurements and model results was the possibility that under the conditions of the study, the dust plume was comparable in vertical extent to the roughness elements, thereby violating one of the model assumptions. Results of the field study reported here and the previous work over rough terrain bound the extent of particle deposition expected to occur under most unpaved road emission scenarios.

Air Pollutants↗
PubMed2003

Anxious about electronic health records? No need to be.

Every day the takeover of paper records by electronic versions seems more inevitable. Many of us who have used the paper version, despite its limitations, are anxious about new technology with its different challenges. In this paper we discuss aspects of both types of record and identify some of their weaknesses and strengths. Whilst there is little science to support one version over the other, the health industry is undoubtedly moving to adopt an electronic record. In writing this paper we aim to reassure clinicians that the electronic record is, on balance, likely to enhance the quality of their professional practice.

Computer Security↗
PubMed2002

Hand-held computers in healthcare: what software programs are available?

The technology sector of healthcare is entering a new evolutionary phase. The medical community has an obligation to the public to provide the safest, most effective healthcare possible. This is more achievable with the use of computer technology at the point of care, and small, portable devices could fulfil this role. A PriceWaterhouse Coopers 2001 survey on information technology in physician practices found that 60% of respondents say that physicians in their organisation use personal digital assistants (PDAs), compared with 26% in the 2000 technology survey. This trend is expected to continue to the point where these devices will have their position on a physician s desk next to the stethoscope. Once this electronic evolution occurs, doctors will be able to practice medicine with greater ease and safety. In our opinion, the new generation of PDA mobile devices will be the tools to enable a transformation of healthcare to a paperless, wireless world. This article focuses on uses of PDAs in healthcare, whether by the registrar, consultant, nurse, student, teacher, patient, medical or surgical director. Current PDA healthcare software is categorised and discussed in the following five groups: 1) reference/text book; 2) calculator; 3) patient management/logbook; 4) personal clinical/study notebook; 5) utility software.

Computer-Assisted Instruction↗