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Explaining Accessibility and Satisfaction Related to Healthcare: A Mixed-Methods Approach

Overview of attention for article published in Social Indicators Research, June 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

policy
1 policy source
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8 X users

Citations

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31 Dimensions

Readers on

mendeley
126 Mendeley
Title
Explaining Accessibility and Satisfaction Related to Healthcare: A Mixed-Methods Approach
Published in
Social Indicators Research, June 2016
DOI 10.1007/s11205-016-1371-9
Pubmed ID
Authors

Pablo Cabrera-Barona, Thomas Blaschke, Stefan Kienberger

Abstract

Accessibility and satisfaction related to healthcare services are conceived as multidimensional concepts. These concepts can be studied using objective and subjective measures. In this study, we created two indices: a composite healthcare accessibility index (CHCA) and a composite healthcare satisfaction index (CHCS). To calculate the CHCA index we used three indicators based on three components of multidimensional healthcare accessibility: availability, acceptability and accessibility. In the indicator based on the component of accessibility, we included an innovative perceived time-decay parameter. The three indicators of the CHCA index were weighted through the application of a principal components analysis. To calculate the CHCS index, we used three indicators: the waiting time after the patient arrives at the healthcare service, the quality of the healthcare, and the healthcare service supply. These three indicators making up the CHCA index were weighted by applying an analytical hierarchy process. Three kinds of regressions were subsequently applied in order to explain the CHCA and CHCS indices: namely the Linear Least Squares, Ordinal Logistic, and Random Forests regressions. In these regressions, we used different independent social and health-related variables. These variables represented the predisposing, enabling, and need factors of people´s behaviors related to healthcare. All the calculations were applied to a study area: the city of Quito, Ecuador. Results showed that there are health-related inequalities in regard to healthcare accessibility and healthcare satisfaction in our study area. We also identified specific social factors that explained the indices developed. The present work is a mixed-methods approach to evaluate multidimensional healthcare accessibility and healthcare satisfaction, incorporating a pluralistic perspective, as well as a multidisciplinary framework. The results obtained can also be considered as tools for healthcare and urban planners, for more integrative social analyses that can improve the quality of life in urban residents.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Austria 1 <1%
Unknown 125 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 21 17%
Student > Bachelor 20 16%
Student > Ph. D. Student 12 10%
Student > Doctoral Student 9 7%
Other 8 6%
Other 18 14%
Unknown 38 30%
Readers by discipline Count As %
Nursing and Health Professions 14 11%
Medicine and Dentistry 14 11%
Social Sciences 13 10%
Psychology 10 8%
Engineering 7 6%
Other 26 21%
Unknown 42 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 10 August 2022.
All research outputs
#3,113,101
of 22,875,477 outputs
Outputs from Social Indicators Research
#287
of 1,729 outputs
Outputs of similar age
#57,116
of 339,291 outputs
Outputs of similar age from Social Indicators Research
#9
of 43 outputs
Altmetric has tracked 22,875,477 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,729 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has done well, scoring higher than 83% of its peers.
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 339,291 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.