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A descriptive analysis of medical health services utilization of Veterans living in Ontario: a retrospective cohort study using administrative healthcare data

Overview of attention for article published in BMC Health Services Research, August 2016
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Title
A descriptive analysis of medical health services utilization of Veterans living in Ontario: a retrospective cohort study using administrative healthcare data
Published in
BMC Health Services Research, August 2016
DOI 10.1186/s12913-016-1596-y
Pubmed ID
Authors

Alice B. Aiken, Alyson L. Mahar, Paul Kurdyak, Marlo Whitehead, Patti A. Groome

Abstract

Health services utilization by Veterans following release may be different than the general population as the result of occupational conditions, requirements and injuries. This study provides the first longitudinal overview of Canadian Veteran healthcare utilization in the Ontario public health system. This is a retrospective cohort study designed to use Ontario's provincial healthcare data to study the demographics and healthcare utilization of Canadian Armed Forces (CAF) & RCMP Veterans living in Ontario. Veterans were eligible for the study if they released between January 1, 1990 and March 31, 2013. Databases at the Institute for Clinical Evaluative Sciences were linked by a unique identifier to study non-mental health related hospitalizations, emergency department visits, and physician visits. Overall and age-stratified descriptive statistics were calculated in five-year intervals following the date of release. The cohort is comprised of 23, 818 CAF or RCMP Veterans. Following entry into the provincial healthcare system, 82.6 % (95 % CI 82.1-83.1) of Veterans saw their family physician at least once over the first five years following release, 60.7 % (95 % CI 60.0-61.3) saw a non-mental health specialist, 40.8 % (95 % CI 40.2-41.5) went to the emergency department in that same time period and 9.9 % (9.5-10.3) were hospitalized for non-mental health related complaints. Patterns of non-mental health services utilization appeared to be time and service dependant. Stratifying health services utilization by age of the Veteran at entry into the provincial healthcare system revealed significant differences in service use and intensity. This study provides the first description of health services utilization by Veterans, following release from the CAF or RCMP. This work will inform the planning and delivery of support to Veterans in Ontario.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 2%
Unknown 43 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 18%
Researcher 8 18%
Student > Master 5 11%
Student > Doctoral Student 3 7%
Lecturer 3 7%
Other 7 16%
Unknown 10 23%
Readers by discipline Count As %
Medicine and Dentistry 10 23%
Nursing and Health Professions 5 11%
Psychology 5 11%
Arts and Humanities 3 7%
Agricultural and Biological Sciences 2 5%
Other 3 7%
Unknown 16 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 September 2016.
All research outputs
#15,383,207
of 22,886,568 outputs
Outputs from BMC Health Services Research
#5,575
of 7,653 outputs
Outputs of similar age
#238,189
of 367,314 outputs
Outputs of similar age from BMC Health Services Research
#167
of 225 outputs
Altmetric has tracked 22,886,568 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,653 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 17th percentile – i.e., 17% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 367,314 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 225 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.