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QLiS-SF: Development of a short form of the quality of life in schizophrenia questionnaire

Overview of attention for article published in BMC Psychiatry, April 2017
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Title
QLiS-SF: Development of a short form of the quality of life in schizophrenia questionnaire
Published in
BMC Psychiatry, April 2017
DOI 10.1186/s12888-017-1307-1
Pubmed ID
Authors

T. Senin, M. Franz, M. Deuschle, N. Bergemann, J. Kammerer-Ciernioch, M. Lautenschlager, T. Meyer

Abstract

There is a need for useful standardized Quality of Life (QoL) measures for people diagnosed with schizophrenia. Therefore, a short form of the self-administered Quality of Life in Schizophrenia (QLiS) scale was developed and validated. Four steps were taken to develop the abridged version using samples from the Clinical Analysis of the Treatment of Schizophrenia (CATS) study. Firstly, a model with second order scales was developed using exploratory factor analysis (EFA). Secondly, it was tested in an independent sample using confirmatory factor analysis (CFA). Thirdly, this model served as the basis for selecting items for the short form. Distributional properties, content reviews, and factor loadings were taken into account in this step. Fourthly, the resulting short form was validated through confirmatory factor analysis (CFA). Composite reliability scores were calculated for the new subscales. Three second order scales were constructed: illness-related quality of life (QoL), social life and finances, and global subjective well-being. CFA of the new theoretical model resulted in a CFI of 0.67 and absolute fit indices of CMIN/df = 2.55, RMSEA = 0.08, SRMR = 0.09. The selected 13 items showed good statistical properties and good fit of content to subscale. Fit of the underlying theoretical model with the reduced number of items was tested in an independent sample. Absolute and fit indices of the short form model were satisfactory (CFI = 0.95, CMIN/df = 2.23, RMSEA = 0.06, SRMR = 0.04). Composite reliability scores for three subscales were above 0.70. The short form of the QLIS (QLiS-SF) showed good model fit and reliability. It should only be considered for use if the application of the long version is not suitable.

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

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 17%
Student > Master 5 14%
Student > Ph. D. Student 3 9%
Student > Bachelor 2 6%
Other 2 6%
Other 7 20%
Unknown 10 29%
Readers by discipline Count As %
Medicine and Dentistry 8 23%
Psychology 5 14%
Nursing and Health Professions 4 11%
Unspecified 1 3%
Veterinary Science and Veterinary Medicine 1 3%
Other 3 9%
Unknown 13 37%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 30 April 2017.
All research outputs
#11,519,905
of 14,537,474 outputs
Outputs from BMC Psychiatry
#2,744
of 3,401 outputs
Outputs of similar age
#192,557
of 265,497 outputs
Outputs of similar age from BMC Psychiatry
#1
of 1 outputs
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