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1.
Eur J Health Econ ; 2024 Mar 13.
Article in English | MEDLINE | ID: mdl-38472725

ABSTRACT

BACKGROUND: Better cost-awareness is a prerogative in achieving the best benefit/risk/cost ratio in the care. We aimed to assess the cost-awareness of intensivists in their daily clinical practice and to identify factors associated with accurate estimate of cost (50-150% of the real cost). METHODS: We performed a prospective observational study in seven French ICUs. We compared the estimate of intensivists of the daily costs of caring with the real costs on a given day. The estimates covered five categories (drugs, laboratory tests, imaging modalities, medical devices, and waste) whose sum represented the overall cost. RESULTS: Of the 234 estimates made by 65 intensivists, 70 (29.9%) were accurate. The median overall cost estimate (€330 [170; 620]) was significantly higher than the real cost (€178 [124; 239], p < 0.001). This overestimation was found in four categories, in particular for waste (€40 [15; 100] vs. €1.1 [0.6; 2.3], p < 0.001). Only the laboratory tests were underestimated (€65 [30; 120] vs. €106 [79; 138], p < 0.001). Being aware of the financial impact of prescriptions was factor associated with accurate estimate (OR: 5.05, 95%CI:1.47-17.4, p = 0.01). However, feeling able to accurately perform estimation was factor negatively associated with accurate estimate (OR: 0.11, 95%CI: 0.02-0.71, p = 0.02). CONCLUSION: French intensivists have a poor awareness of costs in their daily clinical practice. Raising awareness of the financial impact of prescriptions, and of the cost of laboratory tests and waste are the main areas for improvement that could help achieve the objective of the best care at the best cost.

2.
Crit Care ; 20: 99, 2016 Mar 13.
Article in English | MEDLINE | ID: mdl-27072310

ABSTRACT

BACKGROUND: In critical care units, pupil examination is an important clinical parameter for patient monitoring. Current practice is to use a penlight to observe the pupillary light reflex. The result seems to be a subjective measurement, with low precision and reproducibility. Several quantitative pupillometer devices are now available, although their use is primarily restricted to the research setting. To assess whether adoption of these technologies would benefit the clinic, we compared automated quantitative pupillometry with the standard clinical pupillary examination currently used for brain-injured patients. METHODS: In order to determine inter-observer agreement of the device, we performed repetitive measurements in 200 healthy volunteers ranging in age from 21 to 58 years, providing a total of 400 paired (alternative right eye, left eye) measurements under a wide variety of ambient light condition with NeuroLight Algiscan pupillometer. During another period, we conducted a prospective, observational, double-blinded study in two neurocritical care units. Patients admitted to these units after an acute brain injury were included. Initially, nursing staff measured pupil size, anisocoria and pupillary light reflex. A blinded physician subsequently performed measurement using an automated pupillometer. RESULTS: In 200 healthy volunteers, intra-class correlation coefficient for maximum resting pupil size was 0.95 (IC: 0.93-0.97) and for minimum pupil size after light stimulation 0.87 (0.83-0.89). We found only 3-pupil asymmetry (≥ 1 mm) in these volunteers (1.5% of the population) with a clear pupil asymmetry during clinical inspection. The mean pupil light reactivity was 40 ± 7%. In 59 patients, 406 pupillary measurements were prospectively performed. Concordance between measurements for pupil size collected using the pupillometer, versus subjective assessment, was poor (Spearmen's rho = 0.75, IC: 0.70-0.79; P < 0.001). Nursing staff failed to diagnose half of the cases (15/30) of anisocoria detected using the pupillometer device. A global rate of discordance of 18% (72/406) was found between the two techniques when assessing the pupillary light reflex. For measurements with small pupils (diameters <2 mm) the error rate was 39% (24/61). CONCLUSION: Standard practice in pupillary monitoring yields inaccurate data. Automated quantitative pupillometry is a more reliable method with which to collect pupillary measurements at the bedside.


Subject(s)
Brain Injuries/diagnosis , Critical Care/standards , Monitoring, Physiologic/methods , Monitoring, Physiologic/standards , Reflex, Pupillary , Reproducibility of Results , Adult , Aged , Critical Care/methods , Double-Blind Method , Female , Humans , Light , Male , Middle Aged , Monitoring, Physiologic/instrumentation , Prospective Studies
3.
Am J Trop Med Hyg ; 89(2): 211-3, 2013 Aug.
Article in English | MEDLINE | ID: mdl-23751400

ABSTRACT

Abstract. A 58-year-old woman living in Reunion Island and returning from Madagascar was hospitalized for neuroinvasive encephalitis and died 1 month later. West Nile virus (WNV) infection was biologically confirmed by detection of immunoglobulin M (IgM) reactive with WNV antigens in both cerebrospinal fluid and serum, and weak neutralizing activity was also detected. A veterinary survey performed in her traveling area showed a seroprevalence of WNV of 28.7% (95% confidence interval [CI] = 21.1-36.3) in adult poultry, confirming an active circulation of the virus. Development of a severe form could be related to a weak antibody response, because the patient presented low IgM and IgG titers. This case report underlines the constant risk of emergence of West Nile in Indian Ocean territories, including Reunion Island where competent vectors are widely present during the whole year.


Subject(s)
West Nile Fever/diagnosis , West Nile virus , Aedes/virology , Animals , Culex/virology , Fatal Outcome , Female , Humans , Immunoglobulin M/blood , Immunoglobulin M/cerebrospinal fluid , Insect Vectors/virology , Madagascar/epidemiology , Middle Aged , Poultry , Poultry Diseases/epidemiology , Poultry Diseases/immunology , Poultry Diseases/virology , Reunion , Travel , West Nile Fever/epidemiology , West Nile Fever/immunology , West Nile Fever/veterinary
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