↓ Skip to main content

Evaluation of new flexible and integrative psychiatric treatment models in Germany- assessment and preliminary validation of specific program components

Overview of attention for article published in BMC Psychiatry, September 2018
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)

Mentioned by

blogs
1 blog
twitter
1 tweeter
facebook
1 Facebook page

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
12 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Evaluation of new flexible and integrative psychiatric treatment models in Germany- assessment and preliminary validation of specific program components
Published in
BMC Psychiatry, September 2018
DOI 10.1186/s12888-018-1861-1
Pubmed ID
Authors

Jakob Johne, Sebastian von Peter, Julian Schwarz, Jürgen Timm, Martin Heinze, Yuriy Ignatyev

Abstract

Flexible and integrative treatment (FIT) models are rather novel in German mental health care. This study aimed at identifying and evaluating empirically based, practicable, and quantifiable program components that describe the specific treatment structures and processes of German FIT models. A multi-step, iterative research process, based on Grounded Theory Methodology (GTM), was used to identify and operationalise components. A complex algorithm and expert-interviews were applied to quantify the relative weight of each component and to develop a sum score. Face and content validity were examined and internal consistency was tested by Cronbach's α coefficient. Ten of eleven FIT components could be operationalised, quantified and united in the total score. All operationalised components showed sufficient face and content validity and eight components had a good reliability. The components are a first step in the process of operationally defining German FIT models. They considerably overlap with various critical ingredients of international FIT models and may serve as a theoretical basis for constructing fidelity tools and research guides to enable process and outcome evaluation of German FIT models.

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

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 50%
Student > Bachelor 1 8%
Researcher 1 8%
Student > Ph. D. Student 1 8%
Unknown 3 25%
Readers by discipline Count As %
Medicine and Dentistry 3 25%
Psychology 3 25%
Business, Management and Accounting 1 8%
Social Sciences 1 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 8%
Other 0 0%
Unknown 3 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 04 September 2018.
All research outputs
#2,329,031
of 14,537,474 outputs
Outputs from BMC Psychiatry
#1,001
of 3,401 outputs
Outputs of similar age
#63,896
of 272,733 outputs
Outputs of similar age from BMC Psychiatry
#1
of 1 outputs
Altmetric has tracked 14,537,474 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,401 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has gotten more attention than average, scoring higher than 69% 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 272,733 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% 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