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Typology of person-environment fit constellations: a platform addressing accessibility problems in the built environment for people with functional limitations

Overview of attention for article published in BMC Public Health, September 2015
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  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Average Attention Score compared to outputs of the same age and source

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Title
Typology of person-environment fit constellations: a platform addressing accessibility problems in the built environment for people with functional limitations
Published in
BMC Public Health, September 2015
DOI 10.1186/s12889-015-2185-4
Pubmed ID
Authors

Björn Slaug, Oliver Schilling, Susanne Iwarsson, Gunilla Carlsson

Abstract

Making the built environment accessible for all regardless of functional capacity is an important goal for public health efforts. Considerable impediments to achieving this goal suggest the need for valid measurements of acccessibility and for greater attention to the complexity of person-environment fit issues. To address these needs, this study aimed to provide a methodological platform, useful for further research and instrument development within accessibility research. This was accomplished by the construction of a typology of problematic person-environment fit constellations, utilizing an existing methodology developed to assess and analyze accessibility problems in the built environment. By means of qualitative review and statistical methods we classified the person-environment fit components covered by an existing application which targets housing accessibility: the Housing Enabler (HE) instrument. The International Classification of Functioning, Disability and Health (ICF) was used as a conceptual framework. Qualitative classification principles were based on conceptual similarities and for quantitative analysis of similarities, Principal Component Analysis was carried out. We present a typology of problematic person-environment fit constellations classified along three dimensions: 1) accessibility problem range and severity 2) aspects of functioning 3) environmental context. As a result of the classification of the HE components, 48 typical person-environment fit constellations were recognised. The main contribution of this study is the proposed typology of person-environment fit constellations. The typology provides a methodological platform for the identification and quantification of problematic person-environment fit constellations. Its link to the globally accepted ICF classification system facilitates communication within the scientific and health care practice communities. The typology also highlights how relations between aspects of functioning and physical environmental barriers generate typical accessibility problems, and thereby furnishes a reference point for research oriented to how the built environment may be designed to be supportive for activity, participation and health.

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X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 2%
Canada 1 2%
Unknown 57 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 20%
Student > Master 11 19%
Student > Ph. D. Student 7 12%
Student > Doctoral Student 5 8%
Professor > Associate Professor 4 7%
Other 10 17%
Unknown 10 17%
Readers by discipline Count As %
Nursing and Health Professions 11 19%
Social Sciences 10 17%
Medicine and Dentistry 8 14%
Design 4 7%
Computer Science 3 5%
Other 11 19%
Unknown 12 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 07 September 2015.
All research outputs
#8,126,631
of 24,664,952 outputs
Outputs from BMC Public Health
#8,586
of 16,323 outputs
Outputs of similar age
#91,977
of 272,328 outputs
Outputs of similar age from BMC Public Health
#168
of 329 outputs
Altmetric has tracked 24,664,952 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 16,323 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one is in the 47th percentile – i.e., 47% 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 272,328 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 329 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.