Biomedical subjects

Gregory S Finlayson

Publications and source records attributed to Gregory S Finlayson.

4 recordsLinked to original sources

PubMed2005

Anticipating change: how many acute care hospital beds will Manitoba regions need in 2020?

Being able to anticipate future needs for health services presents a challenge for health planners. Using existing population projections, two models are presented to estimate the demand for hospital beds in regions of Manitoba in 2020. The first, a current-use projection model, simply projects the average use for a recent 3-year period into the future. The second, a 10-year trend analysis, uses Poisson regression to project future demand. The current-use projection suggests a substantial increase in the demand for hospital beds, while the trend analysis projects a decline. The last projections are consistent with ongoing increases in rates of day surgeries and declines in lengths of stay. The current-use projections need to be considered in the context of relatively low occupancy rates in rural hospitals and previous research on appropriateness of stays in acute care hospitals. If measures are taken to ensure more appropriate use of acute care hospital beds in the future, then the current-use projections of bed shortages are not a cause for concern.

Acute Disease↗

PubMed2005

A methodology for estimating hospital bed need in Manitoba in 2020.

A team of health researchers of the Manitoba Centre for Health Policy at the University of Manitoba was asked to forecast the number of acute care hospital beds that will be required to meet the needs of residents of the province of Manitoba by the year 2020. Methodological considerations for this request included identification of factors expected to affect bed use in the future, and how to account for these factors. The objective of this paper is to describe these methodological considerations, how decisions were made, and steps taken in our approach to this problem. The actual projections and their implications are the subject of another contribution in this issue of the journal (Finlayson, Stewart, Tate, MacWilliam & Roos, 2005).

Adolescent↗

PubMed2005

Construction and validation of a population-based bone densitometry database.

Utilization of dual-energy X-ray absorptiometry (DXA) for the initial diagnostic assessment of osteoporosis and in monitoring treatment has risen dramatically in recent years. Population-based studies of the impact of DXA and osteoporosis remain challenging because of incomplete and fragmented test data that exist in most regions. Our aim was to create and assess completeness of a database of all clinical DXA services and test results for the province of Manitoba, Canada and to present descriptive data resulting from testing. A regionally based bone density program for the province of Manitoba, Canada was established in 1997. Subsequent DXA services were prospectively captured in a program database. This database was retrospectively populated with earlier DXA results dating back to 1990 (the year that the first DXA scanner was installed) by integrating multiple data sources. A random chart audit was performed to assess completeness and accuracy of this dataset. For comparison, testing rates determined from the DXA database were compared with physician administrative claims data. There was a high level of completeness of this database (>99%) and accurate personal identifier information sufficient for linkage with other health care administrative data (>99%). This contrasted with physician billing data that were found to be markedly incomplete. Descriptive data provide a profile of individuals receiving DXA and their test results. In conclusion, the Manitoba bone density database has great potential as a resource for clinical and health policy research because it is population based with a high level of completeness and accuracy.

Absorptiometry, Photon↗

PubMed2004

A population-based study of osteoporosis testing and treatment following introduction of a new bone densitometry service.

Bone density measurement plays a key role in the initial diagnostic assessment of osteoporosis and in targeting pharmacologic therapies. The impact of access to dual-energy X-ray absorptiometry (DXA) on physician prescribing habits is unclear, however. We were able to directly evaluate the change in physician osteoporosis testing and prescribing following introduction of a DXA testing service in a geographic region that had previously had very limited access. This evaluation was conducted in the province of Manitoba, Canada, which has a provincially based bone density testing program and maintains a population-based bone density database that can be linked with administrative health data sources including drug prescriptions. The province of Manitoba was geographically partitioned into the urban and rural health regions serviced by the new program (urban(new )and rural(new)) and the remaining urban and rural health regions which had relatively unchanged DXA access during this period (urban(control) and rural(control)). Regression models of DXA testing rates and osteoporosis prescription rates were created for all older women in these regions. There was a statistically significant increase in bone density testing and BMD-guided osteoporosis treatment in the urban(new) and rural(new) regions following introduction of the DXA testing service, relative to the control regions. Although the overall rate of empiric postfracture and preventive osteoporosis treatment did not show a specific region effect, when analysis was limited to nonhormonal agents there was a significant reduction in preventive and empiric postfracture treatment in some subgroups of women. These results suggest that the local availability of the bone density testing service led to an increase in objective test-guided therapy with some reduction in the use of empiric and preventive strategies and had a neutral effect on overall use of these agents.

Absorptiometry, Photon↗