↓ Skip to main content

Development and testing of indicators to measure coordination of clinical information and management across levels of care

Overview of attention for article published in BMC Health Services Research, August 2015
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

policy
1 policy source
twitter
3 X users

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
112 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
Development and testing of indicators to measure coordination of clinical information and management across levels of care
Published in
BMC Health Services Research, August 2015
DOI 10.1186/s12913-015-0968-z
Pubmed ID
Authors

Marta-Beatriz Aller, Ingrid Vargas, Jordi Coderch, Sebastià Calero, Francesc Cots, Mercè Abizanda, Joan Farré, Josep Ramon Llopart, Lluís Colomés, María Luisa Vázquez

Abstract

Coordination across levels of care is becoming increasingly important due to rapid advances in technology, high specialisation and changes in the organization of healthcare services; to date, however, the development of indicators to evaluate coordination has been limited. The aim of this study is to develop and test a set of indicators to comprehensively evaluate clinical coordination across levels of care. A systematic review of literature was conducted to identify indicators of clinical coordination across levels of care. These indicators were analysed to identify attributes of coordination and classified accordingly. They were then discussed within an expert team and adapted or newly developed, and their relevance, scientific soundness and feasibility were examined. The indicators were tested in three healthcare areas of the Catalan health system. 52 indicators were identified addressing 11 attributes of clinical coordination across levels of care. The final set consisted of 21 output indicators. Clinical information transfer is evaluated based on information flow (4) and the adequacy of shared information (3). Clinical management coordination indicators evaluate care coherence through diagnostic testing (2) and medication (1), provision of care at the most appropriate level (2), completion of diagnostic process (1), follow-up after hospital discharge (4) and accessibility across levels of care (4). The application of indicators showed differences in the degree of clinical coordination depending on the attribute and area. A set of rigorous and scientifically sound measures of clinical coordination across levels of care were developed based on a literature review and discussion with experts. This set of indicators comprehensively address the different attributes of clinical coordination in main transitions across levels of care. It could be employed to identify areas in which health services can be improved, as well as to measure the effect of efforts to improve clinical coordination in healthcare organizations.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 1 <1%
Italy 1 <1%
South Africa 1 <1%
Unknown 109 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 17%
Student > Master 19 17%
Student > Doctoral Student 9 8%
Student > Ph. D. Student 8 7%
Student > Bachelor 8 7%
Other 22 20%
Unknown 27 24%
Readers by discipline Count As %
Medicine and Dentistry 35 31%
Nursing and Health Professions 15 13%
Business, Management and Accounting 10 9%
Social Sciences 10 9%
Computer Science 3 3%
Other 12 11%
Unknown 27 24%
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 19 August 2019.
All research outputs
#6,289,359
of 22,821,814 outputs
Outputs from BMC Health Services Research
#2,981
of 7,637 outputs
Outputs of similar age
#73,058
of 264,395 outputs
Outputs of similar age from BMC Health Services Research
#49
of 130 outputs
Altmetric has tracked 22,821,814 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 7,637 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. 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 264,395 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 71% of its contemporaries.
We're also able to compare this research output to 130 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 61% of its contemporaries.