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

  • Jessica Pinaire
  • Jérôme Azé
  • Sandra Bringay
  • Paul Landais
Review

DOI: 10.1007/s13755-017-0020-2

Cite this article as:
Pinaire, J., Azé, J., Bringay, S. et al. Health Inf Sci Syst (2017) 5: 1. doi:10.1007/s13755-017-0020-2

Abstract

Background

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.

Methods

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.

Results

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%).

Conclusion

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.

Keywords

Systematic reviews Text mining Healthcare trajectory PPS Semi-automated Word cloud 

Abbreviations

AMI

Acute myocardial infarction

DRG

Diagnosis related group

DHC

Divisive hierarchical clustering

ICD

International classification of diseases

IQ

Interquartile interval

LDA

Latent Dirichlet allocation

MI

Myocardial infarction

PMSI

Programme de médicalisation du système d’information

PPS

Prospective payment system

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Jessica Pinaire
    • 1
    • 2
    • 3
  • Jérôme Azé
    • 3
  • Sandra Bringay
    • 3
    • 4
  • Paul Landais
    • 1
    • 2
  1. 1.Biostatistics, Epidemiology and Public Health DepartmentNîmes University HospitalNîmesFrance
  2. 2.UPRES EA 2415, Clinical Research University InstituteMontpellierFrance
  3. 3.LIRMM, UMR 5506Montpellier UniversityMontpellier Cedex 5France
  4. 4.AMISPaul Valéry UniversityMontpellierFrance

Personalised recommendations