ArticleBMC medical informatics and decision making2013
A data mining approach for grouping and analyzing trajectories of care using claim data: the example of breast cancer.
Article in BMC medical informatics and decision making, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed, 42 citations in OpenAlex.
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- Investigation of the pharmacological treatment patterns of Chinese patients with major depressive disorder under real-world settings using multi-channel sequence analysis.Frontiers in psychiatry · 2023Article
- Determination of thresholds of risk in women at average risk of breast cancer to personalize the organized screening program.Scientific reports · 2021Article
- Cohort Profile: The Care Trajectories-Enriched Data (TorSaDE) cohort.International journal of epidemiology · 2021Article
- Social Distancing and Economic Crisis During COVID-19 Pandemic Reduced Cancer Control in Latin America and Will Result in Increased Late-Stage Diagnoses and Expense.JCO global oncology · 2021Article
- Chronic Low-Dose Exposure to Xenoestrogen Ambient Air Pollutants and Breast Cancer Risk: XENAIR Protocol for a Case-Control Study Nested Within the French E3N Cohort.JMIR research protocols · 2020Article
- Analysis of Trajectories of Care After Bariatric Surgery Using Data Mining Method and Health Administrative Information Systems.Obesity surgery · 2020Article
- Predicting skilled delivery service use in Ethiopia: dual application of logistic regression and machine learning algorithms.BMC medical informatics and decision making · 2019Article
- Observational
- Patient healthcare trajectory. An essential monitoring tool: a systematic review.Health information science and systems · 2017Review
- Measuring care trajectories using health administrative databases: a population-based investigation of transitions from emergency to acute care.BMC health services research · 2016Article
- Comparison of Treatment Costs for Breast Cancer, by Tumor Stage and Type of Service.American health & drug benefits · 2016Article
- Article
- Mining care trajectories using health administrative information systems: the use of state sequence analysis to assess disparities in prenatal care consumption.BMC health services research · 2015Article
- The patient-breast cancer care pathway: how could it be optimized?BMC cancer · 2015Article
- Review
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Authors and funding
4 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWith the increasing burden of chronic diseases, analyzing and understanding trajectories of care is essential for efficient planning and fair allocation of resources. We propose an approach based on mining claim data to support the exploration of trajectories of care.
methodsA clustering of trajectories of care for breast cancer was performed with Formal Concept Analysis. We exported Data from the French national casemix system, covering all inpatient admissions in the country. Patients admitted for breast cancer surgery in 2009 were selected and their trajectory of care was recomposed with all hospitalizations occuring within one year after surgery. The main diagnoses of hospitalizations were used to produce morbidity profiles. Cumulative hospital costs were computed for each profile.
results57,552 patients were automatically grouped into 19 classes. The resulting profiles were clinically meaningful and economically relevant. The mean cost per trajectory was 9,600€. Severe conditions were generally associated with higher costs. The lowest costs (6,957€) were observed for patients with in situ carcinoma of the breast, the highest for patients hospitalized for palliative care (26,139€).
conclusionsFormal Concept Analysis can be applied on claim data to produce an automatic classification of care trajectories. This flexible approach takes advantages of routinely collected data and can be used to setup cost-of-illness studies.
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