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Patient healthcare trajectory. An essential monitoring tool: a systematic review

Overview of attention for article published in Health Information Science and Systems, April 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#18 of 102)
  • Good Attention Score compared to outputs of the same age (77th percentile)

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117 Mendeley
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Title
Patient healthcare trajectory. An essential monitoring tool: a systematic review
Published in
Health Information Science and Systems, April 2017
DOI 10.1007/s13755-017-0020-2
Pubmed ID
Authors

Jessica Pinaire, Jérôme Azé, Sandra Bringay, Paul Landais

Abstract

Patient healthcare trajectory is a recent emergent topic in the literature, encompassing broad concepts. However, the rationale for studying patients' trajectories, and how this trajectory concept is defined remains a public health challenge. Our research was focused on patients' trajectories based on disease management and care, while also considering medico-economic aspects of the associated management. We illustrated this concept with an example: a myocardial infarction (MI) occurring in a patient's hospital trajectory of care. The patient follow-up was traced via the prospective payment system. We applied a semi-automatic text mining process to conduct a comprehensive review of patient healthcare trajectory studies. This review investigated how the concept of trajectory is defined, studied and what it achieves. We performed a PubMed search to identify reports that had been published in peer-reviewed journals between January 1, 2000 and October 31, 2015. Fourteen search questions were formulated to guide our review. A semi-automatic text mining process based on a semantic approach was performed to conduct a comprehensive review of patient healthcare trajectory studies. Text mining techniques were used to explore the corpus in a semantic perspective in order to answer non-a priori questions. Complementary review methods on a selected subset were used to answer a priori questions. Among the 33,514 publications initially selected for analysis, only 70 relevant articles were semi-automatically extracted and thoroughly analysed. Oncology is particularly prevalent due to its already well-established processes of care. For the trajectory thema, 80% of articles were distributed in 11 clusters. These clusters contain distinct semantic information, for example health outcomes (29%), care process (26%) and administrative and financial aspects (16%). This literature review highlights the recent interest in the trajectory concept. The approach is also gradually being used to monitor trajectories of care for chronic diseases such as diabetes, organ failure or coronary artery and MI trajectory of care, to improve care and reduce costs. Patient trajectory is undoubtedly an essential approach to be further explored in order to improve healthcare monitoring.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 117 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 14%
Researcher 16 14%
Student > Master 8 7%
Student > Bachelor 8 7%
Student > Postgraduate 6 5%
Other 24 21%
Unknown 39 33%
Readers by discipline Count As %
Medicine and Dentistry 22 19%
Computer Science 9 8%
Agricultural and Biological Sciences 9 8%
Nursing and Health Professions 6 5%
Psychology 4 3%
Other 20 17%
Unknown 47 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 30 June 2023.
All research outputs
#4,420,308
of 24,943,708 outputs
Outputs from Health Information Science and Systems
#18
of 102 outputs
Outputs of similar age
#72,050
of 315,412 outputs
Outputs of similar age from Health Information Science and Systems
#1
of 1 outputs
Altmetric has tracked 24,943,708 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 102 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has done well, scoring higher than 82% 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 315,412 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% 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