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Validation of the Intermountain patient perception of quality (PPQ) survey among survivors of an intensive care unit admission: a retrospective validation study

Overview of attention for article published in BMC Health Services Research, April 2015
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Title
Validation of the Intermountain patient perception of quality (PPQ) survey among survivors of an intensive care unit admission: a retrospective validation study
Published in
BMC Health Services Research, April 2015
DOI 10.1186/s12913-015-0828-x
Pubmed ID
Authors

Samuel M Brown, Glen McBride, Dave S Collingridge, Jorie M Butler, Kathryn G Kuttler, Eliotte L Hirshberg, Jason P Jones, Ramona O Hopkins, Daniel Talmor, James Orme

Abstract

Patients' perceptions of the quality of their hospitalization have become important to the American healthcare system. Standard surveys of perceived quality of healthcare do not focus on the Intensive Care Unit (ICU) portion of the stay. Our objective was to evaluate the construct validity and internal consistency of the Intermountain Patient Perception of Quality (PPQ) survey among patients discharged from the ICU. We analyzed prospectively collected results from the ICU PPQ survey of all inpatients at Intermountain Medical Center whose hospitalization included an ICU stay. We employed principal components analysis to determine the constructs present in the PPQ survey, and Cronbach's alpha to evaluate the internal consistency (reliability) of the items representing each construct. We identified 5,680 patients who had completed the PPQ survey. There were three basic domains measured: nursing care, physician care, and overall perception of quality. Most of the variability was explained with the first two principal components. Constructs did not vary by type of respondent. The Intermountain ICU PPQ survey demonstrated excellent construct validity across three distinct constructs. This, in addition to its previously established content validity, suggests the utility of the PPQ survey as an assay of the perceived quality of the ICU experience.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 14%
Student > Ph. D. Student 5 12%
Student > Bachelor 4 9%
Librarian 3 7%
Professor 3 7%
Other 12 28%
Unknown 10 23%
Readers by discipline Count As %
Nursing and Health Professions 10 23%
Medicine and Dentistry 9 21%
Social Sciences 4 9%
Engineering 2 5%
Unspecified 1 2%
Other 1 2%
Unknown 16 37%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 20 April 2015.
All research outputs
#6,542,006
of 8,607,055 outputs
Outputs from BMC Health Services Research
#2,611
of 3,178 outputs
Outputs of similar age
#147,073
of 207,489 outputs
Outputs of similar age from BMC Health Services Research
#79
of 97 outputs
Altmetric has tracked 8,607,055 research outputs across all sources so far. This one is in the 13th percentile – i.e., 13% of other outputs scored the same or lower than it.
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We're also able to compare this research output to 97 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.