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Validity of the Postoperative Morbidity Survey after abdominal aortic aneurysm repair—a prospective observational study

Overview of attention for article published in Perioperative Medicine, October 2015
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  • Good Attention Score compared to outputs of the same age (72nd percentile)

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8 X users

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Title
Validity of the Postoperative Morbidity Survey after abdominal aortic aneurysm repair—a prospective observational study
Published in
Perioperative Medicine, October 2015
DOI 10.1186/s13741-015-0020-1
Pubmed ID
Authors

Ben A. Goodman, Alan M. Batterham, Elke Kothmann, Louise Cawthorn, David Yates, Helen Melsom, Karen Kerr, Gerard R. Danjoux

Abstract

Currently, there is no standardised tool used to capture morbidity following abdominal aortic aneurysm (AAA) repair. The aim of this prospective observational study was to validate the Postoperative Morbidity Survey (POMS) according to its two guiding principles: to only capture morbidity substantial enough to delay discharge from hospital and to be a rapid, simple screening tool. A total of 64 adult patients undergoing elective infrarenal AAA repair participated in the study. Following surgery, the POMS was recorded daily, by trained research staff with the clinical teams blinded, until hospital discharge or death. We modelled the data using Cox regression, accounting for the competing risk of death, with POMS as a binary time-dependent (repeated measures) internal covariate. For each day for each patient, 'discharged' (yes/no) was the event, with the elapsed number of days post-surgery as the time variable. We derived the hazard ratio for any POMS morbidity (score 1-9) vs. no morbidity (zero), adjusted for type of repair (endovascular versus open), age and aneurysm size. The hazard ratio for alive discharge with any POMS-recorded morbidity versus no morbidity was 0.130 (95 % confidence interval 0.070 to 0.243). The median time-to-discharge was 13 days after recording any POMS morbidity vs. 2 days after scoring zero for POMS morbidity. Compliance with POMS completion was 99.5 %. The POMS is a valid tool for capturing short-term postoperative morbidity following elective infrarenal AAA repair that is substantial enough to delay discharge from hospital. Daily POMS measurement is recommended to fully capture morbidity and allow robust analysis. The survey could be a valuable outcome measure for use in quality improvement programmes and future research.

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The data shown below were collected from the profiles of 8 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Other 4 18%
Student > Bachelor 3 14%
Lecturer > Senior Lecturer 2 9%
Student > Ph. D. Student 2 9%
Researcher 2 9%
Other 2 9%
Unknown 7 32%
Readers by discipline Count As %
Medicine and Dentistry 11 50%
Nursing and Health Professions 1 5%
Psychology 1 5%
Business, Management and Accounting 1 5%
Unknown 8 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 24 October 2015.
All research outputs
#6,213,944
of 22,830,751 outputs
Outputs from Perioperative Medicine
#81
of 243 outputs
Outputs of similar age
#76,241
of 279,097 outputs
Outputs of similar age from Perioperative Medicine
#2
of 4 outputs
Altmetric has tracked 22,830,751 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 243 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one has gotten more attention than average, scoring higher than 66% 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 279,097 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 72% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.