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Responding effectively to adult mental health patient feedback in an online environment: A coproduced framework

Overview of attention for article published in Health Expectations, April 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#17 of 1,760)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
3 news outlets
blogs
1 blog
twitter
95 X users

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
79 Mendeley
Title
Responding effectively to adult mental health patient feedback in an online environment: A coproduced framework
Published in
Health Expectations, April 2018
DOI 10.1111/hex.12682
Pubmed ID
Authors

Rebecca Baines, John Donovan, Sam Regan de Bere, Julian Archer, Ray Jones

Abstract

Responding to online patient feedback is considered integral to patient safety and quality improvement. However, guidance on how to respond effectively is limited, with limited attention paid to patient perceptions and reactions. To identify factors considered potentially helpful in enhancing response quality; coproduce a best-practice response framework; and quality-appraise existing responses. A four-stage mixed methodology: (i) systematic search of stories published on Care Opinion about adult mental health services in the South West of England; (ii) collaborative thematic analysis of responses to identify factors potentially helpful in enhancing response quality; (iii) validation of identified factors by a patient-carer group (n = 12) leading to the coproduction of a best-practice response framework; and (iv) quality appraisal of existing responses. A total of 245 stories were identified, with 183 (74.7%) receiving a response. Twenty-four (9.8%) had been heard but not yet responded to. 1.6% (n = 4/245) may lead to a change. Nineteen factors were considered influential in response quality. These centred around seven subject areas: (i) introductions; (ii) explanations; (iii) speed of response; (iv) thanks and apologies; (v) response content; (vi) signposting; and (vii) response sign-off that were developed into a conceptual framework (the Plymouth, Listen, Learn and Respond framework). Quality appraisal of existing responses highlighted areas for further improvement demonstrating the framework's utility. This study advances existing understanding by providing previously unavailable guidance. It has clear practical and theoretical implications for those looking to improve health-care services, patient safety and quality of care. Further validation of the conceptual framework is encouraged.

X Demographics

X Demographics

The data shown below were collected from the profiles of 95 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 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 79 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 13%
Researcher 10 13%
Student > Doctoral Student 9 11%
Other 7 9%
Student > Ph. D. Student 5 6%
Other 10 13%
Unknown 28 35%
Readers by discipline Count As %
Psychology 12 15%
Medicine and Dentistry 11 14%
Social Sciences 7 9%
Nursing and Health Professions 7 9%
Business, Management and Accounting 6 8%
Other 8 10%
Unknown 28 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 93. 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 28 April 2021.
All research outputs
#466,796
of 25,743,152 outputs
Outputs from Health Expectations
#17
of 1,760 outputs
Outputs of similar age
#10,469
of 344,684 outputs
Outputs of similar age from Health Expectations
#1
of 23 outputs
Altmetric has tracked 25,743,152 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,760 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done particularly well, scoring higher than 99% 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 344,684 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 96% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.