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Nurse‐assessed metabolic monitoring: A file audit of risk factor prevalence and impact of an intervention to enhance measurement of waist circumference

Overview of attention for article published in International Journal of Mental Health Nursing, January 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

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6 X users

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76 Mendeley
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Article details
Title
Nurse‐assessed metabolic monitoring: A file audit of risk factor prevalence and impact of an intervention to enhance measurement of waist circumference
Published in
International Journal of Mental Health Nursing, January 2014
DOI 10.1111/inm.12057
Pubmed ID
Authors
Abstract

The aim of the present study was to: (i) document the prevalence of risk factors for non-communicable diseases among mental health consumers (inpatients) with various diagnoses; and (ii) audit the frequency of waist circumference (WC) documentation before and after an intervention that involved a single nurse-education session, and change in assessment-form design. The study was undertaken in a private psychiatric hospital in Sydney, Australia. Twenty-five nurses participated in the educational intervention. File audits were performed prior to intervention delivery (n = 60), and 3 months' (n = 60), and 9 months' (n = 60) post-intervention. Files were randomly selected, and demographic (age, diagnosis) and risk factor (WC, body mass index (BMI), smoking status, blood pressure) data were extracted. WC was higher in this cohort compared to published general population means, and only 19% of patients had a BMI within the healthy range. In total, 37% of patients smoked, while 31% were hypertensive. At baseline, none of the audited files reported WC, which increased to 35 of the 60 (58%) files audited at the 3-month follow up. At the 9-month follow up, 25 of the 60 (42%) files audited reported a WC. In the 120 post-intervention files audited, only two patients refused measurement. These results illustrate the poor physical health of inpatients, and suggest that nurse-assessed metabolic monitoring can be enhanced with minimal training.

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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 1%
Unknown 75 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 13 17%
Student > Master 11 14%
Student > Ph. D. Student 8 11%
Student > Doctoral Student 5 7%
Other 4 5%
Other 11 14%
Unknown 24 32%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 17 22%
Nursing and Health Professions 13 17%
Psychology 5 7%
Social Sciences 4 5%
Sports and Recreations 2 3%
Other 4 5%
Unknown 31 41%
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 09 January 2014.
All research outputs
#9,589,571
of 32,775,379 outputs
Outputs from International Journal of Mental Health Nursing
#1,051
of 1,679 outputs
Outputs of similar age
#94,233
of 361,150 outputs
Outputs of similar age from International Journal of Mental Health Nursing
#1
of 6 outputs
Altmetric has tracked 32,775,379 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,679 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
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 361,150 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 73% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them