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Showing the Unsayable: Participatory Visual Approaches and the Constitution of ‘Patient Experience’ in Healthcare Quality Improvement

Overview of attention for article published in Health Care Analysis, October 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#24 of 326)
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
1 news outlet
twitter
21 X users

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
123 Mendeley
Title
Showing the Unsayable: Participatory Visual Approaches and the Constitution of ‘Patient Experience’ in Healthcare Quality Improvement
Published in
Health Care Analysis, October 2017
DOI 10.1007/s10728-017-0349-3
Pubmed ID
Authors

Constantina Papoulias

Abstract

This article considers the strengths and potential contributions of participatory visual methods for healthcare quality improvement research. It argues that such approaches may enable us to expand our understanding of 'patient experience' and of its potential for generating new knowledge for health systems. In particular, they may open up dimensions of people's engagement with services and treatments which exceed both the declarative nature of responses to questionnaires and the narrative sequencing of self reports gathered through qualitative interviewing. I will suggest that working with such methods may necessitate a more reflexive approach to the constitution of evidence in quality improvement work. To this end, the article will first consider the emerging rationale for the use of visual participatory methods in improvement before outlining the implications of two related approaches-photo-elicitation and PhotoVoice-for the constitution of 'experience'. It will then move to a participatory model for healthcare improvement work, Experience Based Co-Design (EBCD). It will argue that EBCD exemplifies both the strengths and the limitations of adequating visual participatory approaches to quality improvement ends. The article will conclude with a critical reflection on a small photographic study, in which the author participated, and which sought to harness service user perspectives for the design of psychiatric facilities, as a way of considering the potential contribution of visual participatory methods for quality improvement.

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 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 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 123 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 15%
Student > Master 16 13%
Student > Doctoral Student 15 12%
Researcher 14 11%
Other 9 7%
Other 18 15%
Unknown 32 26%
Readers by discipline Count As %
Social Sciences 18 15%
Nursing and Health Professions 16 13%
Medicine and Dentistry 14 11%
Psychology 9 7%
Design 8 7%
Other 25 20%
Unknown 33 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 04 March 2022.
All research outputs
#1,595,057
of 25,464,544 outputs
Outputs from Health Care Analysis
#24
of 326 outputs
Outputs of similar age
#31,649
of 335,539 outputs
Outputs of similar age from Health Care Analysis
#1
of 7 outputs
Altmetric has tracked 25,464,544 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 326 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has done particularly well, scoring higher than 92% 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 335,539 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them