↓ Skip to main content

Using linked administrative and disease-specific databases to study end-of-life care on a population level

Overview of attention for article published in BMC Palliative Care, October 2016
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
6 X users

Citations

dimensions_citation
40 Dimensions

Readers on

mendeley
60 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Using linked administrative and disease-specific databases to study end-of-life care on a population level
Published in
BMC Palliative Care, October 2016
DOI 10.1186/s12904-016-0159-7
Pubmed ID
Authors

Arno Maetens, Robrecht De Schreye, Kristof Faes, Dirk Houttekier, Luc Deliens, Birgit Gielen, Cindy De Gendt, Patrick Lusyne, Lieven Annemans, Joachim Cohen

Abstract

The use of full-population databases is under-explored to study the use, quality and costs of end-of-life care. Using the case of Belgium, we explored: (1) which full-population databases provide valid information about end-of-life care, (2) what procedures are there to use these databases, and (3) what is needed to integrate separate databases. Technical and privacy-related aspects of linking and accessing Belgian administrative databases and disease registries were assessed in cooperation with the database administrators and privacy commission bodies. For all relevant databases, we followed procedures in cooperation with database administrators to link the databases and to access the data. We identified several databases as fitting for end-of-life care research in Belgium: the InterMutualistic Agency's national registry of health care claims data, the Belgian Cancer Registry including data on incidence of cancer, and databases administrated by Statistics Belgium including data from the death certificate database, the socio-economic survey and fiscal data. To obtain access to the data, approval was required from all database administrators, supervisory bodies and two separate national privacy bodies. Two Trusted Third Parties linked the databases via a deterministic matching procedure using multiple encrypted social security numbers. In this article we describe how various routinely collected population-level databases and disease registries can be accessed and linked to study patterns in the use, quality and costs of end-of-life care in the full population and in specific diagnostic groups.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 22%
Student > Ph. D. Student 12 20%
Student > Master 6 10%
Other 3 5%
Student > Doctoral Student 2 3%
Other 7 12%
Unknown 17 28%
Readers by discipline Count As %
Medicine and Dentistry 13 22%
Social Sciences 7 12%
Nursing and Health Professions 7 12%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Economics, Econometrics and Finance 2 3%
Other 5 8%
Unknown 24 40%
Attention Score in Context

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 25 February 2017.
All research outputs
#6,448,853
of 23,881,329 outputs
Outputs from BMC Palliative Care
#717
of 1,308 outputs
Outputs of similar age
#95,199
of 319,037 outputs
Outputs of similar age from BMC Palliative Care
#10
of 15 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,308 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 44th percentile – i.e., 44% 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 319,037 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 70% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.