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Stakeholder engagement analysis - a bioethics dilemma in patient-targeted intervention: patients with temporomandibular joint disorders

Overview of attention for article published in Journal of Translational Medicine, January 2015
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  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

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Title
Stakeholder engagement analysis - a bioethics dilemma in patient-targeted intervention: patients with temporomandibular joint disorders
Published in
Journal of Translational Medicine, January 2015
DOI 10.1186/s12967-014-0366-z
Pubmed ID
Authors

Andre Barkhordarian, Gary Demerjian, Allison Jan, Nateli Sama, Mia Nguyen, Angela Du, Francesco Chiappelli

Abstract

Modern health care in the field of Medicine, Dentistry and Nursing is grounded in fundamental philosophy and epistemology of translational science. Recently in the U.S major national initiatives have been implemented in the hope of closing the gaps that sometimes exist between the two fundamental components of translational science, the translational research and translational effectiveness. Subsequent to these initiatives, many improvements have been made; however, important bioethical issues and limitations do still exist that need to be addressed. One such issue is the stakeholder engagement and its assessment and validation. Federal, state and local organizations such as PCORI and AHRQ concur that the key to a better understanding of the relationship between translational research and translational effectiveness is the assessment of the extent to which stakeholders are actively engaged in the translational process of healthcare. The stakeholder engagement analysis identifies who the stakeholders are, maps their contribution and involvement, evaluates their priorities and opinions, and accesses their current knowledge base. This analysis however requires conceptualization and validation from the bioethics standpoint. Here, we examine the bioethical dilemma of stakeholder engagement analysis in the context of the person-environment fit (PE-fit) theoretical model. This model is an approach to quantifying stakeholder engagement analysis for the design of patient-targeted interventions. In our previous studies of Alzheimer patients, we have developed, validated and used a simple instrument based on the PE-fit model that can be adapted and utilized in a much less studied pathology as a clinical model that has a wide range of symptoms and manifestations, the temporomandibular joint disorders (TMD). The temporomandibular joint (TMJ) is the jaw joint endowed with sensory and motor innervations that project from within the central nervous system and its dysfunction can be manifested systemically in forms of movement disorders, and related pathological symptomatologies.Currently, there is limited reliable evidence available to fully understand the complexity of the various domains of translational effectiveness, particularly in the context of stakeholder engagement and its assessment, validation as well as the bioethical implications as they pertain to evidence-based, effectivness-focused and patient-centered care.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
New Zealand 1 2%
United States 1 2%
Unknown 63 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 17%
Student > Ph. D. Student 11 17%
Student > Master 7 11%
Student > Bachelor 6 9%
Student > Doctoral Student 3 5%
Other 14 21%
Unknown 14 21%
Readers by discipline Count As %
Medicine and Dentistry 21 32%
Nursing and Health Professions 6 9%
Social Sciences 5 8%
Engineering 3 5%
Design 2 3%
Other 12 18%
Unknown 17 26%
Attention Score in Context

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 15 March 2016.
All research outputs
#6,946,410
of 22,778,347 outputs
Outputs from Journal of Translational Medicine
#1,085
of 3,987 outputs
Outputs of similar age
#96,354
of 352,028 outputs
Outputs of similar age from Journal of Translational Medicine
#33
of 124 outputs
Altmetric has tracked 22,778,347 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 3,987 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 gotten more attention than average, scoring higher than 71% 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 352,028 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 124 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 70% of its contemporaries.