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1.
J Cyst Fibros ; 21(1): 88-95, 2022 01.
Article in English | MEDLINE | ID: mdl-33865726

ABSTRACT

BACKGROUND: Better insights into the natural course of cystic fibrosis (CF) have led to treatment approaches that have improved pulmonary health and increased the life expectancy of affected individuals. This study evaluated how the combination of modified demographics and changes in CF management impacted resource consumption and the cost of care. METHODS: Medical records of CF patients from 2006 to 2016 in the French CF Registry were linked to their corresponding claims data (SNDS). Medications, medical visits, procedures, hospitalisations, and indirect costs were annualized by calendar year from 2006 to 2017. RESULTS: Of the 7,671 patients included in the French CF Registry, 6,187 patients (80.7%) were linked to the SNDS (51.9% male, mean age = 24.7 years). The average cost per patient was €14,174 in 2006, €21,920 in 2011 and €44,585 in 2017. Costs associated with hospital stays increased from €3,843 per patient in 2006 to €6,741 in 2017. In 2017, the mean cost per CF patient was allocated as follows: 72% for medications (of which 51% for modulator therapies), 15% for hospital stays, 7% for medical visits, 3% for indirect costs, 2% for medical devices, 1% for outpatient medical procedures. CONCLUSION: There was a strong increase in the mean annual cost per CF patient between 2006 and 2017, mostly due to the cost of therapy after the introduction of cystic fibrosis transmembrane conductance regulator (CFTR) modulators. The combination of an increase in the number of CF patients - particularly adult patients - and an increase in the annual cost per patient led to a substantial increase in the total cost of CF disease care for the health systems.


Subject(s)
Cystic Fibrosis/economics , Cystic Fibrosis/therapy , Health Care Costs/trends , Adolescent , Adult , Child , Child, Preschool , Cross-Sectional Studies , Female , Humans , Male , Patient Acceptance of Health Care , Young Adult
2.
Lancet Digit Health ; 1(8): e413-e423, 2019 12.
Article in English | MEDLINE | ID: mdl-33323223

ABSTRACT

BACKGROUND: Both national and WHO growth charts have been found to be poorly calibrated with the physical growth of children in many countries. We aimed to generate new national growth charts for French children in the context of huge datasets of physical growth measurements routinely collected by office-based health practitioners. METHODS: We recruited 32 randomly sampled primary care paediatricians and ten volunteer general practitioners from across the French metropolitan territory who used the same electronic medical records software, from which we extracted all physical growth data for the paediatric patients, with anonymisation. We included measurements from all children born from Jan 1, 1990, and aged 1 month to 18 years by Feb 8, 2018, with birthweight greater than 2500 g, to which an automated process of data cleaning developed to detect and delete measurement or transcription errors was applied. Growth charts for weight and height were derived by using generalised additive models for location, scale, and shape with the Box-Cox power exponential distribution. We compared the new charts to WHO growth charts and existing French national growth charts, and validated our charts using growth data from recent national cross-sectional surveys. FINDINGS: After data cleaning, we included 1 458 468 height and 1 690 340 weight measurements from 238 102 children. When compared with the existing French national and WHO growth charts, all height SD and weight percentile curves for the new growth charts were distinctly above those for the existing French national growth charts, as early as age 1 month, with an average difference of -0·75 SD for height and -0·50 SD for weight for both sexes. Comparison with national cross-sectional surveys showed satisfactory calibration, with generally good fit for children aged 5-6 years and 10-11 years in height and weight and small differences at age 14-15 years. INTERPRETATION: We successfully produced calibrated paediatric growth charts by using a novel big-data approach applied to data routinely collected in clinical practice that could be used in many fields other than anthropometry. FUNDING: The French Ministry of Health; Laboratoires Guigoz-General Pediatrics section of the French Society of Pediatrics-Pediatric Epidemiological Research Group; and the French Association for Ambulatory Pediatrics.


Subject(s)
Big Data , Body Height , Body Weight , Growth Charts , Adolescent , Child , Child, Preschool , Feasibility Studies , Female , Humans , Infant , Male , Reference Values
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