Evidence map›Paper›PMID 27927178›Full record

ArticleBMC medical research methodology2016

Inter-rater reliability of the QuIS as an assessment of the quality of staff-inpatient interactions.

Ines Mesa-Eguiagaray, Dankmar Böhning, Chris McLean, Peter Griffiths, Jackie Bridges, Ruth M Pickering

Abstract read
In one paragraph

Article in BMC medical research methodology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Ines Mesa-EguiagarayMedical Statistics Group, Faculty of Medicine, Southampton General Hospital, Mailpoint 805, Level B, South Academic Block, Southampton, SO16 6YD, UK.
Dankmar BöhningSouthampton Statistical Sciences Research Institute & Mathematical Sciences, University of Southampton, Southampton, UK.
Chris McLeanFaculty of Health Sciences, University of Southampton, Southampton, UK.
Peter GriffithsFaculty of Health Sciences, University of Southampton, Southampton, UK.
Jackie BridgesFaculty of Health Sciences, University of Southampton, Southampton, UK.
Ruth M PickeringMedical Statistics Group, Faculty of Medicine, Southampton General Hospital, Mailpoint 805, Level B, South Academic Block, Southampton, SO16 6YD, UK. rmp@soton.ac.uk.

Funding

Department of Health HS&DR/13/07/48
6 · The paper itself

Abstract

backgroundRecent studies of the quality of in-hospital care have used the Quality of Interaction Schedule (QuIS) to rate interactions observed between staff and inpatients in a variety of ward conditions. The QuIS was developed and evaluated in nursing and residential care. We set out to develop methodology for summarising information from inter-rater reliability studies of the QuIS in the acute hospital setting.

methodsStaff-inpatient interactions were rated by trained staff observing care delivered during two-hour observation periods. Anticipating the possibility of the quality of care varying depending on ward conditions, we selected wards and times of day to reflect the variety of daytime care delivered to patients. We estimated inter-rater reliability using weighted kappa, κ

resultsEstimated [Formula: see text] did not vary greatly depending on the weighting scheme employed, but we found simple averaging of estimates across observation periods to produce a higher value of inter-rater reliability due to over-weighting observation periods with fewest interactions.

conclusionsWe recommend that researchers evaluating the inter-rater reliability of the QuIS by observing staff-inpatient interactions during observation periods representing the variety of ward conditions in which care takes place, should summarise inter-rater reliability by κ

Indexed as

Professional-Patient RelationsAlgorithmsData Interpretation, StatisticalHumansInpatientsMedical StaffQuality Assurance, Health CareReproducibility of ResultsAveragingCollapsingQuISRandom effects meta-analysisWeighted kappa

Identifiers

PMID27927178
PMCPMC5142422

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.