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Health states for schizophrenia and bipolar disorder within the Global Burden of Disease 2010 Study

Overview of attention for article published in Population Health Metrics, August 2012
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Title
Health states for schizophrenia and bipolar disorder within the Global Burden of Disease 2010 Study
Published in
Population Health Metrics, August 2012
DOI 10.1186/1478-7954-10-16
Pubmed ID
Authors

Alize J Ferrari, Sukanta Saha, John J McGrath, Rosana Norman, Amanda J Baxter, Theo Vos, Harvey A Whiteford

Abstract

A comprehensive revision of the Global Burden of Disease (GBD) study is expected to be completed in 2012. This study utilizes a broad range of improved methods for assessing burden, including closer attention to empirically derived estimates of disability. The aim of this paper is to describe how GBD health states were derived for schizophrenia and bipolar disorder. These will be used in deriving health state-specific disability estimates. A literature review was first conducted to settle on a parsimonious set of health states for schizophrenia and bipolar disorder. A second review was conducted to investigate the proportion of schizophrenia and bipolar disorder cases experiencing these health states. These were pooled using a quality-effects model to estimate the overall proportion of cases in each state. The two schizophrenia health states were acute (predominantly positive symptoms) and residual (predominantly negative symptoms). The three bipolar disorder health states were depressive, manic, and residual. Based on estimates from six studies, 63% (38%-82%) of schizophrenia cases were in an acute state and 37% (18%-62%) were in a residual state. Another six studies were identified from which 23% (10%-39%) of bipolar disorder cases were in a manic state, 27% (11%-47%) were in a depressive state, and 50% (30%-70%) were in a residual state. This literature review revealed salient gaps in the literature that need to be addressed in future research. The pooled estimates are indicative only and more data are required to generate more definitive estimates. That said, rather than deriving burden estimates that fail to capture the changes in disability within schizophrenia and bipolar disorder, the derived proportions and their wide uncertainty intervals will be used in deriving disability estimates.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 55 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 20%
Student > Bachelor 8 14%
Student > Postgraduate 6 11%
Student > Ph. D. Student 6 11%
Student > Master 4 7%
Other 8 14%
Unknown 13 23%
Readers by discipline Count As %
Medicine and Dentistry 16 29%
Psychology 10 18%
Biochemistry, Genetics and Molecular Biology 5 9%
Nursing and Health Professions 2 4%
Neuroscience 2 4%
Other 5 9%
Unknown 16 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 24 August 2012.
All research outputs
#16,237,186
of 25,654,806 outputs
Outputs from Population Health Metrics
#310
of 417 outputs
Outputs of similar age
#115,456
of 186,731 outputs
Outputs of similar age from Population Health Metrics
#5
of 8 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 417 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one is in the 21st percentile – i.e., 21% 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 186,731 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.