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Factors influencing the length of hospital stay of patients with anorexia nervosa – results of a prospective multi-center study

Overview of attention for article published in BMC Health Services Research, January 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)

Mentioned by

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27 tweeters

Citations

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1 Dimensions

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32 Mendeley
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Title
Factors influencing the length of hospital stay of patients with anorexia nervosa – results of a prospective multi-center study
Published in
BMC Health Services Research, January 2018
DOI 10.1186/s12913-017-2800-4
Pubmed ID
Authors

D. Kästner, B. Löwe, A. Weigel, B. Osen, U. Voderholzer, A. Gumz

Abstract

The length of stay (LOS) strongly influences anorexia nervosa (AN) inpatient weight outcomes. Hence, understanding the predictors of LOS is highly relevant. However, the existing evidence is inconsistent and to draw conclusions, additional evidence is required. We conducted a prospective, multi-center study including adult female inpatients with AN. Using stepwise linear regression, the following demographic and clinical variables were examined as potential predictors for LOS: admission BMI, AN-subtype, age, age of onset, living situation, partnership status, education, previous hospitalization, self-rated depression, anxiety and somatic symptoms (PHQ-9, PHQ-15, GAD-7), self-rated therapy motivation (FEVER) and eating disorder psychopathology (EDI-2 subscale scores). The average LOS of the sample (n = 176) was 11.8 weeks (SD = 5.2). Longer LOS was associated with lower admission BMI (ß = -1.66; p < .001), purging AN-subtype (ß = 1.91; p = .013) and higher EDI-2 asceticism (ß = 0.12; p = .030). Furthermore, differences between treatment sites were evident. BMI at admission and AN-subtype are routinely assessed variables, which are robust and clinically meaningful predictors of LOS. Health care policies might consider these variables. In light of the differences between treatment sites future research on geographical variations in mental health care seems recommended.

Twitter Demographics

The data shown below were collected from the profiles of 27 tweeters 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 22%
Student > Master 6 19%
Other 4 13%
Student > Doctoral Student 3 9%
Researcher 3 9%
Other 9 28%
Readers by discipline Count As %
Psychology 9 28%
Medicine and Dentistry 8 25%
Unspecified 5 16%
Agricultural and Biological Sciences 3 9%
Biochemistry, Genetics and Molecular Biology 3 9%
Other 4 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 07 July 2019.
All research outputs
#824,135
of 13,603,158 outputs
Outputs from BMC Health Services Research
#296
of 4,555 outputs
Outputs of similar age
#33,296
of 350,414 outputs
Outputs of similar age from BMC Health Services Research
#1
of 1 outputs
Altmetric has tracked 13,603,158 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,555 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done particularly well, scoring higher than 93% 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 350,414 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 1 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