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Linking Swedish health data registers to establish a research database and a shared decision-making tool in hip replacement

Overview of attention for article published in BMC Musculoskeletal Disorders, October 2016
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

twitter
4 tweeters
facebook
1 Facebook page

Citations

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14 Dimensions

Readers on

mendeley
43 Mendeley
Title
Linking Swedish health data registers to establish a research database and a shared decision-making tool in hip replacement
Published in
BMC Musculoskeletal Disorders, October 2016
DOI 10.1186/s12891-016-1262-x
Pubmed ID
Authors

Peter Cnudde, Ola Rolfson, Szilard Nemes, Johan Kärrholm, Clas Rehnberg, Cecilia Rogmark, John Timperley, Göran Garellick

Abstract

Sweden offers a unique opportunity to researchers to construct comprehensive databases that encompass a wide variety of healthcare related data. Statistics Sweden and the National Board of Health and Welfare collect individual level data for all Swedish residents that ranges from medical diagnoses to socioeconomic information. In addition to the information collected by governmental agencies the medical profession has initiated nationwide Quality Registers that collect data on specific diagnoses and interventions. The Quality Registers analyze activity within healthcare institutions, with the aims of improving clinical care and fostering clinical research. The Swedish Hip Arthroplasty Register (SHAR) has been collecting data since 1979. Joint replacement in general and hip replacement in particular is considered a success story with low mortality and complication rate. It is credited to the pioneering work of the SHAR that the revision rate following hip replacement surgery in Sweden is amongst the lowest in the world. This has been accomplished by the diligent follow-up of patients with feedback of outcomes to the providers of the healthcare along with post market surveillance of individual implant performance. During its existence SHAR has experienced a constant organic growth. One major development was the introduction of the Patient Reported Outcome Measures program, giving a voice to the patients in healthcare performance evaluation. The next aim for SHAR is to integrate patients' wishes and expectations with the surgeons' expertise in the form of a Shared Decision-Making (SDM) instrument. The first step in building such an instrument is to assemble the necessary data. This involves linking the SHARs database with the two aforementioned governmental agencies. The linkage is done by the 10-digit personal identity number assigned at birth (or immigration) for every Swedish resident. The anonymized data is stored on encrypted serves and can only be accessed after double identification. This data will serve as starting point for several research projects and clinical improvement work.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters 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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 33%
Student > Ph. D. Student 10 23%
Researcher 5 12%
Student > Doctoral Student 4 9%
Student > Bachelor 3 7%
Other 6 14%
Unknown 1 2%
Readers by discipline Count As %
Medicine and Dentistry 18 42%
Nursing and Health Professions 6 14%
Social Sciences 5 12%
Computer Science 4 9%
Psychology 2 5%
Other 6 14%
Unknown 2 5%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 19 October 2016.
All research outputs
#4,975,952
of 10,479,368 outputs
Outputs from BMC Musculoskeletal Disorders
#912
of 2,302 outputs
Outputs of similar age
#98,162
of 257,425 outputs
Outputs of similar age from BMC Musculoskeletal Disorders
#27
of 58 outputs
Altmetric has tracked 10,479,368 research outputs across all sources so far. This one has received more attention than most of these and is in the 52nd percentile.
So far Altmetric has tracked 2,302 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 60% 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 257,425 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.