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Key aspects related to implementation of risk stratification in health care systems-the ASSEHS study

Overview of attention for article published in BMC Health Services Research, May 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)

Mentioned by

policy
1 policy source
twitter
1 tweeter

Citations

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3 Dimensions

Readers on

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40 Mendeley
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Title
Key aspects related to implementation of risk stratification in health care systems-the ASSEHS study
Published in
BMC Health Services Research, May 2017
DOI 10.1186/s12913-017-2275-3
Pubmed ID
Authors

Joana Mora, Miren David Iturralde, Lucía Prieto, Cristina Domingo, Marie-Pierre Gagnon, Catalina Martínez-Carazo, Anna Giné March, Daniele De Massari, Tino Martí, Marco Nalin, Francesca Avolio, Jean Bousquet, Esteban de Manuel Keenoy

Abstract

The lack of proven efficacy of new healthcare interventions represents a problem for health systems globally. It is partly related to suboptimal implementation processes, leading to poor adoption of new interventions. Activation of Stratification Strategies and Results of the interventions on frail patients of Healthcare Services (ASSEHS) EU project (N° 2013 12 04) aims to study current existing health Risk Stratification (RS) strategies and tools on frail elderly patients. This paper aims at identifying variables that make the implementation of population RS tools feasible in different healthcare services. Two different methods have been used to identify the key elements in stratification implementation; i) a Scoping Review, in order to search and gather scientific evidence and ii) Semi-structured interviews with six key experts that had been actively involved in the design and/or implementation of RS strategies. It aims to focus the implementation construct on real-life contextual understandings, multi-level perspectives, and cultural influences. A Feasibility Framework has been drawn. Two dimensions impact the feasibility of RS: (i) Planning, deployment and change management and (ii) Care intervention. The former comprises communication, training and mutual learning, multidisciplinarity of the team, clinicians' engagement, operational plan and ICT display and functionalities. The latter includes case finding and selection of the target population, pathway definition and quality improvement process. The Feasibility Framework provides a list of key elements that should be considered for an effective implementation of population risk stratification interventions. It helps to identify, plan and consider relevant elements to ensure a proper RS implementation.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 20%
Student > Master 5 13%
Other 5 13%
Student > Ph. D. Student 5 13%
Student > Doctoral Student 3 8%
Other 8 20%
Unknown 6 15%
Readers by discipline Count As %
Medicine and Dentistry 12 30%
Social Sciences 4 10%
Nursing and Health Professions 3 8%
Biochemistry, Genetics and Molecular Biology 2 5%
Engineering 2 5%
Other 8 20%
Unknown 9 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 01 January 2019.
All research outputs
#3,889,110
of 14,549,400 outputs
Outputs from BMC Health Services Research
#1,915
of 4,974 outputs
Outputs of similar age
#83,926
of 264,408 outputs
Outputs of similar age from BMC Health Services Research
#1
of 1 outputs
Altmetric has tracked 14,549,400 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 4,974 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. 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 264,408 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 67% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them