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Methods to perform systematic reviews of patient preferences: a literature survey

Overview of attention for article published in BMC Medical Research Methodology, December 2017
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

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Title
Methods to perform systematic reviews of patient preferences: a literature survey
Published in
BMC Medical Research Methodology, December 2017
DOI 10.1186/s12874-017-0448-8
Pubmed ID
Authors

Tsung Yu, Nomin Enkh-Amgalan, Ganchimeg Zorigt

Abstract

Systematic reviews are a commonly used research design in the medical field to synthesize study findings. At present-although several systematic reviews of patient preference studies are published-there is no clear guidance available for researchers to conduct this type of systematic review. The aim of our study was to learn the most current practice of conducting these systematic reviews by conducting a survey of the literature regarding reviews of quantitative patient preference studies. Our survey included systematic reviews of studies that used a stated quantitative preference design to elicit patient preferences. We identified eligible reviews through a search of the PubMed database. Two investigators with knowledge of the design of patient preference studies independently screened the titles and abstracts, and where needed, screened the full-text of the reviews to determine eligibility. We developed and pilot-tested a form to extract data on the methods used in each systematic review. Our search and screening identified 29 eligible reviews. A large proportion of the reviews (19/29, 66%) were published in 2014 or after; among them, nine reviews were published in 2016. The median number of databases searched for preference studies was four (interquartile range = 2 to 7). We found that less than half of the reviews (13/29, 45%) clearly reported assessing risk of bias or the methodological quality of the included preference studies; not a single review was able to perform quantitative synthesis (meta-analysis) of the data on patient preferences. These results suggest that several methodological issues of performing systematic reviews of patient preferences are not yet fully addressed by research and that the methodology may require future development.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 18%
Student > Master 7 14%
Student > Ph. D. Student 6 12%
Lecturer 5 10%
Student > Bachelor 3 6%
Other 9 18%
Unknown 11 22%
Readers by discipline Count As %
Medicine and Dentistry 11 22%
Nursing and Health Professions 4 8%
Social Sciences 4 8%
Engineering 4 8%
Pharmacology, Toxicology and Pharmaceutical Science 3 6%
Other 11 22%
Unknown 13 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 31. 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 10 February 2020.
All research outputs
#1,241,652
of 24,814,419 outputs
Outputs from BMC Medical Research Methodology
#135
of 2,212 outputs
Outputs of similar age
#28,456
of 451,167 outputs
Outputs of similar age from BMC Medical Research Methodology
#7
of 47 outputs
Altmetric has tracked 24,814,419 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,212 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done particularly well, scoring higher than 93% 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 451,167 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.