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Optimizing polypharmacy among elderly hospital patients with chronic diseases—study protocol of the cluster randomized controlled POLITE-RCT trial

Overview of attention for article published in Implementation Science, October 2014
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  • Good Attention Score compared to outputs of the same age (75th percentile)

Mentioned by

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10 tweeters

Citations

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23 Dimensions

Readers on

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197 Mendeley
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1 CiteULike
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Title
Optimizing polypharmacy among elderly hospital patients with chronic diseases—study protocol of the cluster randomized controlled POLITE-RCT trial
Published in
Implementation Science, October 2014
DOI 10.1186/s13012-014-0151-7
Pubmed ID
Authors

Christin Löffler, Eva Drewelow, Susanne D Paschka, Martina Frankenstein, Julia Eger, Lisa Jatsch, Emil C Reisinger, Johannes F Hallauer, Bernd Drewelow, Karen Heidorn, Helmut Schröder, Anja Wollny, Gönther Kundt, Christian Schmidt, Attila Altiner

Abstract

BackgroundTreatment of patients with multimorbidity is challenging. A rational reduction of long-term drugs can lead to decreased mortality, less acute hospital treatment, and a reduction of costs. Simplification of drug treatment schemes is also related to higher levels of patient satisfaction and adherence. The POLITE-RCT trial will test the effectiveness of an intervention aiming at reducing the number of prescribed long-term drugs among multimorbid and chronically ill patients. The intervention focuses on the interface between primary and secondary health care and includes a pharmacist-based, patient-centered medication review prior to the patient¿s discharge from hospital.MethodsThe POLITE-RCT trial is a cluster randomized controlled trial. Two major secondary health care providers of Mecklenburg-Western Pomerania, Germany, take part in the study. Clusters are wards of both medical centers. All wards where patients with chronic diseases and multimorbidity are regularly treated will be included. Patients aged 65+ years who take five or more prescribed long-term drugs and who are likely to spend at least 5 days in the participating hospitals will be recruited and included consecutively. Cluster-randomization takes place after a six-month baseline data collection period. Patients of the control group receive care as usual. The independent two main primary outcomes are (1) health-related quality of life (EQ-5D) and (2) the difference in the number of prescribed long-term pharmaceutical agents between intervention and control group. The secondary outcomes are appropriateness of prescribed medication (PRISCUS list, Beers Criteria, MAI), patient satisfaction (TSQM), patient empowerment (PEF-FB-9), patient autonomy (IADL), falls, re-hospitalization, and death. The points of measurement are at admission to (T0) and discharge from hospital (T1) as well as 6 and 12 months after discharge from the hospital (T2 and T3). In 42 wards, 1,626 patients will be recruited.DiscussionIn case of positive evaluation, the proposed study will provide evidence for a sustainable reduction of polypharmacy by enhancing patient-centeredness and patient autonomy.Trial registrationCurrent Controlled Trials ISRCTN42003273.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 197 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 <1%
Spain 1 <1%
Ireland 1 <1%
Canada 1 <1%
Unknown 193 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 35 18%
Researcher 22 11%
Student > Bachelor 21 11%
Student > Ph. D. Student 19 10%
Student > Doctoral Student 14 7%
Other 47 24%
Unknown 39 20%
Readers by discipline Count As %
Medicine and Dentistry 63 32%
Pharmacology, Toxicology and Pharmaceutical Science 28 14%
Nursing and Health Professions 26 13%
Social Sciences 7 4%
Psychology 6 3%
Other 20 10%
Unknown 47 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 20 August 2015.
All research outputs
#5,595,528
of 21,321,698 outputs
Outputs from Implementation Science
#1,008
of 1,674 outputs
Outputs of similar age
#55,592
of 225,873 outputs
Outputs of similar age from Implementation Science
#2
of 2 outputs
Altmetric has tracked 21,321,698 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,674 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one is in the 39th percentile – i.e., 39% 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 225,873 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 75% 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.