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A Classification of Healthcare Facilities Toward the Development of Energy Performance Benchmarks for Day Surgery Centers in Australia

Overview of attention for article published in Health Environments Research & Design Journal (HERD), April 2015
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Title
A Classification of Healthcare Facilities Toward the Development of Energy Performance Benchmarks for Day Surgery Centers in Australia
Published in
Health Environments Research & Design Journal (HERD), April 2015
DOI 10.1177/1937586715575910
Pubmed ID
Authors

Tarek M. F. Ahmed, Priyadarsini Rajagopalan, Robert Fuller, Ahmed, Tarek M F, Rajagopalan, Priyadarsini, Fuller, Robert

Abstract

In the literature, there is no consistent classification of healthcare facilities. In order to benchmark, assess, and compare the environmental performance of these buildings, it is important to clearly identify the typology within the scope of a particular research. This article identifies the different typologies within the healthcare sector, particularly in Australia, with the aim of the development of energy performance benchmarks for day surgery/procedure centers. Healthcare buildings encompass a wide range of facilities. They all share the same purpose of healing and offering a health service for patients. However, they vary significantly in terms of patient type and service provided. These buildings consume a considerable amount of energy, and as a result of the different designs and sizes, their pattern of energy consumption varies. The research used a systematic review of the literature to determine how the term "healthcare facility" has been employed in different contexts. In order to better understand the differences in healthcare facilities, definitions and the origin of hospitals and healthcare facilities are introduced and a framework for the classification of healthcare facilities and hospitals is proposed. Healthcare facilities are classified into the following six categories: patient type, care provided, management and ownership, level of care, facility size, and location. Based on these classifications, a categorization for the studies of energy performance in healthcare is introduced. This study provides a basis for assessment and comparison for a particular healthcare building typology that will assist researchers working in the field of design and energy assessment of healthcare facilities.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Unknown 30 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 19%
Student > Ph. D. Student 5 16%
Student > Bachelor 3 10%
Lecturer 3 10%
Researcher 3 10%
Other 6 19%
Unknown 5 16%
Readers by discipline Count As %
Engineering 5 16%
Design 4 13%
Business, Management and Accounting 3 10%
Nursing and Health Professions 2 6%
Arts and Humanities 2 6%
Other 5 16%
Unknown 10 32%

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 25 August 2015.
All research outputs
#4,598,356
of 5,526,446 outputs
Outputs from Health Environments Research & Design Journal (HERD)
#41
of 62 outputs
Outputs of similar age
#155,581
of 194,207 outputs
Outputs of similar age from Health Environments Research & Design Journal (HERD)
#6
of 8 outputs
Altmetric has tracked 5,526,446 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 62 research outputs from this source. They receive a mean Attention Score of 1.8. This one is in the 1st percentile – i.e., 1% 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 194,207 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.