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Reliability, feasibility, and validity of the quality of interactions schedule (QuIS) in acute hospital care: an observational study

Overview of attention for article published in BMC Health Services Research, May 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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Title
Reliability, feasibility, and validity of the quality of interactions schedule (QuIS) in acute hospital care: an observational study
Published in
BMC Health Services Research, May 2017
DOI 10.1186/s12913-017-2312-2
Pubmed ID
Authors

Christopher McLean, Peter Griffiths, Ines Mesa – Eguiagaray, Ruth M. Pickering, Jackie Bridges

Abstract

Research into relational care in hospitals will be facilitated by a focus on staff-patient interactions. The Quality of Interactions Schedule (QuIS) uses independent observers to measure the number of staff-patient interactions within a healthcare context, and to rate these interactions as 'positive social'; 'positive care'; 'neutral'; 'negative protective'; or 'negative restrictive'. QuIS was developed as a research instrument in long term care settings and has since been used for quality improvement in acute care. Prior to this study, its use had not been standardised, and reliability and validity in acute care had not been established. In 2014 and 2015 a three - phase study was undertaken to develop and test protocols for the use of QuIS across three acute wards within one NHS trust in England. The phases were: (1) A pilot of 16 h observation which developed implementation strategies for QuIS in this context; (2) training two observers and undertaking 16 h of paired observation to inform the development of training protocols; (3) training four nurses and two lay volunteers according to a finalised protocol followed by 36 h of paired observations to test inter-rater agreement. Additionally, patients were asked to rate interactions and to complete a shortened version of the Patient Evaluation of Emotional Care during Hospitalisation (PEECH) questionnaire. Protocols were developed for the use of QuIS in acute care. Patients experienced an average of 6.7 interactions/patient/h (n = 447 interactions). There was close agreement between observers in relation to the number of interactions observed (Intraclass correlation coefficient (ICC) = 0.97) and moderate to substantial agreement on the quality of interactions (absolute agreement 73%, kappa 0.53 to 0.62 depending on weighting scheme). There was 79% agreement (weighted kappa 0.40: P < 0.001; indicating fair agreement) between patients and observers over whether interactions were positive, negative or neutral. Observers using clear QuIS protocols can achieve levels of agreement that are acceptable for the use of QuIS as a research instrument. There is fair agreement between observers and patients' rating of interactions. Further research is needed to explore the relationship between QuIS measures and reported patient experience.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 1%
Unknown 72 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 16%
Student > Master 8 11%
Researcher 7 10%
Student > Bachelor 6 8%
Librarian 5 7%
Other 17 23%
Unknown 18 25%
Readers by discipline Count As %
Nursing and Health Professions 14 19%
Social Sciences 12 16%
Medicine and Dentistry 11 15%
Business, Management and Accounting 2 3%
Computer Science 2 3%
Other 9 12%
Unknown 23 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 31 January 2021.
All research outputs
#4,470,213
of 22,979,862 outputs
Outputs from BMC Health Services Research
#2,077
of 7,694 outputs
Outputs of similar age
#79,218
of 316,427 outputs
Outputs of similar age from BMC Health Services Research
#54
of 144 outputs
Altmetric has tracked 22,979,862 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,694 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has gotten more attention than average, scoring higher than 72% 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 316,427 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 74% of its contemporaries.
We're also able to compare this research output to 144 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.