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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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26 tweeters

Citations

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2 Dimensions

Readers on

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37 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 26 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 22%
Student > Master 7 19%
Other 4 11%
Student > Doctoral Student 3 8%
Researcher 3 8%
Other 6 16%
Unknown 6 16%
Readers by discipline Count As %
Psychology 10 27%
Medicine and Dentistry 8 22%
Agricultural and Biological Sciences 4 11%
Biochemistry, Genetics and Molecular Biology 3 8%
Nursing and Health Professions 2 5%
Other 2 5%
Unknown 8 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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
#923,247
of 14,225,457 outputs
Outputs from BMC Health Services Research
#339
of 4,828 outputs
Outputs of similar age
#35,248
of 357,028 outputs
Outputs of similar age from BMC Health Services Research
#1
of 2 outputs
Altmetric has tracked 14,225,457 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 4,828 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one has done particularly well, scoring higher than 92% 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 357,028 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 2 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