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Adherence styles of schizophrenia patients identified by a latent class analysis of the Medication Adherence Rating Scale (MARS): A six-month follow-up study

Overview of attention for article published in Psychiatry Research, April 2012
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Title
Adherence styles of schizophrenia patients identified by a latent class analysis of the Medication Adherence Rating Scale (MARS): A six-month follow-up study
Published in
Psychiatry Research, April 2012
DOI 10.1016/j.psychres.2012.03.033
Pubmed ID
Authors

Susanne Jaeger, Carmen Pfiffner, Prisca Weiser, Reinhold Kilian, Thomas Becker, Gerhard Längle, Gerhard Wilhelm Eschweiler, Daniela Croissant, Wiltrud Schepp, Tilman Steinert

Abstract

The purpose of this study was to examine patients' response profiles to the Medication Adherence Rating Scale (MARS) and to evaluate the potential of response styles as predictors of the future course of psychotic disorders in terms of rehospitalisation and maintenance of medication. A total of 371 psychiatric in-patients with schizophrenia or schizoaffective disorder who were taking part in a naturalistic long-term study completed a German version of the MARS. A Latent Class Analysis (LCA) was performed. Five latent classes of response styles could be identified: "moderately adherent", "critical discontinuers", "good compliers", "careless and forgetful", and "compliant sceptics". Class membership was found to be related to the severity of symptoms, level of functioning, insight into illness, insight into necessity of treatment, treatment satisfaction and medication side effects. At a six-month follow-up appointment, significant differences between the classes persisted. Participants showing a "good compliers" response pattern had a significantly better prognosis in terms of rehospitalisation rate and maintenance of the original medication than "critical discontinuers". Evaluation of the MARS by studying response profiles provides informative results that reach beyond the results obtained by an evaluation by scores. Patients can be classified into adherence groups that are of predictive value for long-term patient outcome.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Italy 1 1%
Unknown 77 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 13%
Other 9 11%
Student > Bachelor 8 10%
Researcher 8 10%
Student > Ph. D. Student 8 10%
Other 24 30%
Unknown 13 16%
Readers by discipline Count As %
Medicine and Dentistry 27 34%
Psychology 12 15%
Computer Science 5 6%
Nursing and Health Professions 5 6%
Social Sciences 5 6%
Other 12 15%
Unknown 14 18%
Attention Score in Context

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 27 April 2012.
All research outputs
#17,283,763
of 25,371,288 outputs
Outputs from Psychiatry Research
#4,805
of 7,587 outputs
Outputs of similar age
#114,972
of 175,435 outputs
Outputs of similar age from Psychiatry Research
#89
of 178 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,587 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
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We're also able to compare this research output to 178 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.