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The preliminary measurement properties of the person-centred community care inventory (PERCCI)

Overview of attention for article published in Quality of Life Research, June 2018
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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 (#44 of 2,386)
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

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39 tweeters

Citations

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3 Dimensions

Readers on

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30 Mendeley
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Title
The preliminary measurement properties of the person-centred community care inventory (PERCCI)
Published in
Quality of Life Research, June 2018
DOI 10.1007/s11136-018-1917-1
Pubmed ID
Authors

Mark Wilberforce, David Challis, Linda Davies, Michael P. Kelly, Chris Roberts

Abstract

Researchers investigating person-centredness in older people's long-term community care are hindered by the lack of appropriate measures. Studies have tended to rely on proxy indicators or generic instruments, risking invalid results. This new research aimed to develop and psychometrically test a person-centredness scale for use in older people's community services. Questionnaire items were sourced from groups of older people and mapped to a conceptual framework of person-centredness. A postal questionnaire in 2015-2016 tested these items with older people supported by mental health and social care services in five areas of England. Dimensionality was assessed through exploratory factor analysis and a confirmatory bifactor model, with classical item analysis removing weak items. Test-retest analysis was undertaken through a repeated postal questionnaire 3 weeks after the first. Three factors were identified, representing (i) interpersonal and (ii) organisational aspects of person-centred care; and (iii) negatively phrased items. Removing weaker items resulted in an 18-item scale. The bifactor analysis concluded the summary scale was 'essentially unidimensional'. The Person-centred community care inventory (PERCCI) had excellent reliability, with Intra-Class Correlation Coefficient of 0.886 [95% CI 0.818-0.929]. A priori hypotheses about associations with satisfaction metrics and support variables were broadly confirmed. The PERCCI has promising measurement properties and can be recommended for use in research with older adults using community mental health and social care services. Future developments must identify how sensitive the instrument is in detecting changing service quality.

Twitter Demographics

The data shown below were collected from the profiles of 39 tweeters 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 23%
Researcher 5 17%
Student > Ph. D. Student 5 17%
Student > Bachelor 2 7%
Student > Doctoral Student 2 7%
Other 2 7%
Unknown 7 23%
Readers by discipline Count As %
Nursing and Health Professions 8 27%
Social Sciences 7 23%
Psychology 3 10%
Arts and Humanities 1 3%
Business, Management and Accounting 1 3%
Other 3 10%
Unknown 7 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 26 November 2019.
All research outputs
#843,578
of 16,055,994 outputs
Outputs from Quality of Life Research
#44
of 2,386 outputs
Outputs of similar age
#25,423
of 278,609 outputs
Outputs of similar age from Quality of Life Research
#4
of 74 outputs
Altmetric has tracked 16,055,994 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,386 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 98% 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 278,609 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 74 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 94% of its contemporaries.