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1.
Front Psychol ; 15: 1211548, 2024.
Article in English | MEDLINE | ID: mdl-38659668

ABSTRACT

In this paper, we investigate the relevance of using a parental questionnaire (HEGA) to gather information on children's language experience in Basque and early language development in order to better interpret language performance in that language. Both this questionnaire and use of language assessment in Basque are needed in the Basque Country, where multilingualism is well attested. The questionnaire was developed after the PaBiQ with additional questions meant to reflect the Basque context, notably its schooling linguistic model. The HEGA was administered to the parents of 186 bilingual children of the Northern Basque Country (age 4;2-9;1) whose language skills in Basque were assessed via a new test battery targeting different linguistic domains (HIGA). Several significant correlations were found between exposure to, and use of Basque and performance in lexical and morphosyntactic production and comprehension. Mixed-effect regression analyses revealed that language experience in Basque, and particularly the fact of being schooled entirely in Basque, were strong predictors of lexical and morphosyntactic outcomes. In contrast, phonological performance, as measured by nonword repetition, appeared to be less impacted by language experience in Basque. Finally, two children were identified as being at risk of language impairment, due to low language performance in Basque despite extended language experience. These results have important implications for clinicians and educators, in particular for detecting language difficulties in Basque-speaking bilingual children. They also show the need for assessing language abilities in Basque for children growing up in a solid Basque-speaking environment.

2.
J Biomed Semantics ; 13(1): 6, 2022 02 22.
Article in English | MEDLINE | ID: mdl-35193692

ABSTRACT

BACKGROUND: Artificial intelligence methods applied to electronic medical records (EMRs) hold the potential to help physicians save time by sharpening their analysis and decisions, thereby improving the health of patients. On the one hand, machine learning algorithms have proven their effectiveness in extracting information and exploiting knowledge extracted from data. On the other hand, knowledge graphs capture human knowledge by relying on conceptual schemas and formalization and supporting reasoning. Leveraging knowledge graphs that are legion in the medical field, it is possible to pre-process and enrich data representation used by machine learning algorithms. Medical data standardization is an opportunity to jointly exploit the richness of knowledge graphs and the capabilities of machine learning algorithms. METHODS: We propose to address the problem of hospitalization prediction for patients with an approach that enriches vector representation of EMRs with information extracted from different knowledge graphs before learning and predicting. In addition, we performed an automatic selection of features resulting from knowledge graphs to distinguish noisy ones from those that can benefit the decision making. We report the results of our experiments on the PRIMEGE PACA database that contains more than 600,000 consultations carried out by 17 general practitioners (GPs). RESULTS: A statistical evaluation shows that our proposed approach improves hospitalization prediction. More precisely, injecting features extracted from cross-domain knowledge graphs in the vector representation of EMRs given as input to the prediction algorithm significantly increases the F1 score of the prediction. CONCLUSIONS: By injecting knowledge from recognized reference sources into the representation of EMRs, it is possible to significantly improve the prediction of medical events. Future work would be to evaluate the impact of a feature selection step coupled with a combination of features extracted from several knowledge graphs. A possible avenue is to study more hierarchical levels and properties related to concepts, as well as to integrate more semantic annotators to exploit unstructured data.


Subject(s)
Electronic Health Records , Pattern Recognition, Automated , Algorithms , Artificial Intelligence , Hospitalization , Humans , Machine Learning
3.
Fam Pract ; 38(4): 432-440, 2021 07 28.
Article in English | MEDLINE | ID: mdl-33340317

ABSTRACT

BACKGROUND: The definition and the treatment of male urinary tract infections (UTIs) are imprecise. This study aims to determine the frequency of male UTIs in consultations of general practice, the diagnostic approach and the prescribed treatments. METHODS: We extracted the consultations of male patients, aged 18 years or more, during the period 2012-17 with the International Classification of Primary Care, version 2 codes for UTIs or associated symptoms from PRIMEGE/MEDISEPT databases of primary care. For eligible consultations in which all symptoms or codes were consistent with male UTIs, we identified patient history, prescribed treatments, antibiotic duration, clinical conditions, additional examinations and bacteriological results of urine culture. RESULTS: Our study included 610 consultations with 396 male patients (mean age 62.5 years). Male UTIs accounted for 0.097% of visits and 1.44 visits per physician per year. The UTIs most commonly identified were: undifferentiated (52%), prostatitis (36%), cystitis (8.5%) and pyelonephritis (3.5%). Fever was recorded in 14% of consultations. Urine dipstick test was done in 1.8% of consultations. Urine culture was positive for Escherichia coli in 50.4% of bacteriological tests. Fluoroquinolones were the most prescribed antibiotics (64.9%), followed by beta-lactams (17.4%), trimethoprim-sulfamethoxazole (11.9%) and nitrofurantoin (2.6%). CONCLUSIONS: Male UTIs are rare in general practice and have different presentations. The definition of male UTIs needs to be specified by prospective studies. Diagnostic evidence of male cystitis may reduce the duration of antibiotic therapy and spare critical antibiotics.


The definition and the treatment of male urinary tract infections (UTIs) are imprecise. We aimed to determine the frequency of male UTIs, the diagnostic approach and the prescribed treatments in French electronic health records of general practice. Our study included 610 consultations with 396 male patients with UTIs. In most cases, the organic site of the UTI was not determined. Prostatitis, cystitis and pyelonephritis were diagnosed to a lesser degree. Most patients did not have fever. Half of urine cultures were positive for Escherichia coli, a bacterium from the gastrointestinal tract. Antibiotics were the treatment of choice for male UTIs. In our study, fluoroquinolones (FQs) were the most prescribed antibiotics, then beta-lactams, trimethoprim-sulfamethoxazole and nitrofurantoin. All infections were treated in the same way. Male UTIs are rare in general practice and have different presentations. The resistance of bacteria to FQs is increasing. General practitioners should prescribe antibiotics carefully to avoid failure in the event of recurrent infections. Treating cystitis, prostatitis and pyelonephritis differently may reduce the duration of antibiotic therapy and spare critical antibiotics.


Subject(s)
General Practice , Urinary Tract Infections , Anti-Bacterial Agents/therapeutic use , Electronics , Humans , Male , Middle Aged , Prospective Studies , Urinary Tract Infections/diagnosis , Urinary Tract Infections/drug therapy , Urinary Tract Infections/epidemiology
4.
Stud Health Technol Inform ; 264: 674-678, 2019 Aug 21.
Article in English | MEDLINE | ID: mdl-31438009

ABSTRACT

Electronic Health Records (EHRs) can be used for research but this raises the problem of data quality. OBJECTIVE: To evaluate the quality of the information recorded in an EHR by a general practitioner (GP) during a regular office consultation. METHOD: 191 dialogs between the GP and patient were recorded and translated into the International Classification of Primary Care Second edition (ICPC-2) codes. Written information of the corresponding EHR was extracted and coded for comparison. RESULTS: The primary reason for the consultation was recorded in the EHR in 41.2% of the cases and the diagnosis in 44.1% of the cases. Diagnoses noted in the EHR were less often communicated to the patients than the primary reasons (p<0.0001). CONCLUSION: There is a loss of information between the dialog during a consultation and what is reported in the EHR. Consequences in terms of continuity and safety of care can be expected.


Subject(s)
Electronic Health Records , General Practitioners , Humans , Referral and Consultation
5.
Stud Health Technol Inform ; 264: 1423-1424, 2019 Aug 21.
Article in English | MEDLINE | ID: mdl-31438162

ABSTRACT

To describe information content in an automatically generated patient summary worksheet (PS) comparatively to electronic health records (EHRs) for 90 patients. The PS was more focused on the cure than person-centred care. Ergonomic solutions based on the users' needs should enhance shared decision-making and improve the healthcare professional-patient relationship.


Subject(s)
Electronic Health Records , General Practice , Decision Making , Family Practice , Humans
6.
Stud Health Technol Inform ; 245: 462-466, 2017.
Article in English | MEDLINE | ID: mdl-29295137

ABSTRACT

The objective of our study was to assess the feasibility of gathering data stored in primary care Electronic Health records (EHRs) in order to create a research database (PRIMEGE PACA project). The software for EHR models of two office and patient data management systems were analyzed; anonymized data was extracted and imported into a MySQL database. An ETL procedure to code text in ICPC2 codes was implemented. Eleven general practitioners (GPs) were enrolled as "data producers" and data were extracted from 2012 to 2015. In this paper, we explain the ways to make this process feasible as well as illustrate its utility for estimating epidemiological indicators and professional practice assessments. Other software is currently being analyzed for integration and expansion of this panel of GPs. This experimentation is recognized as a robust framework and is considered to be the technical foundation of the first regional observatory of primary care data.


Subject(s)
Electronic Health Records , General Practitioners , Primary Health Care , Software , Databases, Factual , Feasibility Studies , France , Humans
7.
Sante Publique ; 28(3): 299-308, 2016.
Article in French | MEDLINE | ID: mdl-27531428

ABSTRACT

Background: Lower urogenital tract Chlamydia trachomatis (Ct) infection is the most common bacterial sexually transmitted infection in Europe, especially among young people with multiple partners. Often asymptomatic, its spread and severity are due to delayed diagnosis, highlighting the need for early detection.Objective: Implementation and evaluation of a complex intervention targeting GPs in the Alpes-Maritimes (06) promoting opportunistic screening of Ct infection in young patients.Method: Academic detailing visits provided 105 randomized GPs with tools and patient self-testing kits to include 10 patients over a 6-month period followed by a quantitative (prescribed screenings / reimbursed screenings among visited GPs and all GPs in the Alpes-Maritimes compared to the previous year) and a qualitative assessment (post-interventional interviews with GPs and trainers).Results: In the context of a global increase in screening between the 2013 and 2014 seasons (+15%), the intervention resulted in a significantly higher rate (73%), p = 0.02. Screening was performed in 73 (48%) patients and 12 were PCR-positive. Qualitative analysis of post-interventional interviews with GPs and a focus group of AD visitors highlighted facilitating factors and obstacles to screening. Conclusion: Our intervention, appreciated by the visited GPs, demonstrates its potential impact and feasibility in primary care. GPs used facilitating factors to overcome the identified obstacles. To sustain this intervention, evaluated tools will be available on line to help GPs promote Ct screening as well as for sexual health training targeting GPs.


Subject(s)
Chlamydia Infections/diagnosis , Mass Screening/statistics & numerical data , Practice Patterns, Physicians' , Primary Health Care , Adolescent , Female , France , Humans , Male , Young Adult
8.
Geriatr Psychol Neuropsychiatr Vieil ; 14(2): 142-50, 2016 Jun 01.
Article in English | MEDLINE | ID: mdl-27052601

ABSTRACT

The elder abuse is a major public health problem. In the world, almost 4 to 10% of people of more than 65 years would be abuse. The generalist practitioners report only 2% of the elder abuse. Furthermore, the evaluations of elder abuse screenings test found in the scientist literature were unsatisfactory. Evaluate the elder abuse screening capacities of the Vulnerability to abuse screen scale (VASS) in order to propose it to the doctors. VASS was translated in French. It's a quantitative and a forward-looking study whose the answers of people of more than 65 years old were analysed and compared in blind way to the answers of socials workers. 200 patients were included between March and May 2012 in the CHU of Cimiez, Nice. We found 104 patients in danger of abuse, 40 cases of abuse revealed by the socials workers, so 20% of abuses were reported by the gold standard. It means a sensibility of 90,9%, a specificity of 49,7% and a predictive value of 96,1% to a score of 1 to the test. The screening test VASS shown it useful to detect elder people in danger of abuse but a few discriminants and not adapted to patients who have cognitive pathologies. It's a screening tool usable by default, more sensitive than others tests in the scientist literature. However, these results ask the question of the useful of these tools of elder abuse screening in comparison with the education of doctors which made proofs of success in this subject.


Subject(s)
Elder Abuse/diagnosis , Elder Abuse/statistics & numerical data , Neuropsychological Tests , Aged , Aged, 80 and over , Female , Humans , Language , Male , Reproducibility of Results , Social Workers
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