Management par la qualité : Questions médicales fréquentes
Nom anglais: Total Quality Management
Descriptor UI:D017749
Tree Number:N05.700.792
Termes MeSH sélectionnés :
Propensity Score
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"description": "Comment évaluer la qualité dans un établissement de santé ?\nQuels outils sont utilisés pour le diagnostic qualité ?\nQu'est-ce qu'un audit qualité ?\nComment identifier les problèmes de qualité ?\nQuel rôle joue le feedback dans le diagnostic qualité ?",
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"description": "Quelles complications peuvent résulter d'une mauvaise qualité ?\nComment évaluer les complications liées à la qualité ?\nQuel est l'impact des complications sur les patients ?\nComment réduire les complications dans les soins ?\nQuelles sont les conséquences économiques des complications ?",
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"description": "Quels facteurs de risque affectent la qualité des soins ?\nComment la culture organisationnelle influence-t-elle la qualité ?\nQuel est l'impact du leadership sur la qualité ?\nComment les ressources humaines influencent-elles la qualité ?\nQuels sont les risques liés à la technologie dans les soins ?",
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"@type": "Question",
"name": "Comment évaluer la qualité dans un établissement de santé ?",
"position": 1,
"acceptedAnswer": {
"@type": "Answer",
"text": "Utiliser des indicateurs de performance et des audits internes pour mesurer la qualité."
}
},
{
"@type": "Question",
"name": "Quels outils sont utilisés pour le diagnostic qualité ?",
"position": 2,
"acceptedAnswer": {
"@type": "Answer",
"text": "Les outils incluent les diagrammes de Pareto, les cartes de contrôle et les enquêtes de satisfaction."
}
},
{
"@type": "Question",
"name": "Qu'est-ce qu'un audit qualité ?",
"position": 3,
"acceptedAnswer": {
"@type": "Answer",
"text": "C'est une évaluation systématique des processus pour identifier les améliorations nécessaires."
}
},
{
"@type": "Question",
"name": "Comment identifier les problèmes de qualité ?",
"position": 4,
"acceptedAnswer": {
"@type": "Answer",
"text": "Analyser les retours des patients et les données de performance pour détecter les anomalies."
}
},
{
"@type": "Question",
"name": "Quel rôle joue le feedback dans le diagnostic qualité ?",
"position": 5,
"acceptedAnswer": {
"@type": "Answer",
"text": "Le feedback des patients et du personnel aide à identifier les lacunes et à orienter les améliorations."
}
},
{
"@type": "Question",
"name": "Quels symptômes indiquent un manque de qualité ?",
"position": 6,
"acceptedAnswer": {
"@type": "Answer",
"text": "Des plaintes fréquentes des patients et des erreurs médicales peuvent signaler des problèmes."
}
},
{
"@type": "Question",
"name": "Comment mesurer la satisfaction des patients ?",
"position": 7,
"acceptedAnswer": {
"@type": "Answer",
"text": "Utiliser des enquêtes et des questionnaires pour recueillir des avis sur les services reçus."
}
},
{
"@type": "Question",
"name": "Quels indicateurs montrent une mauvaise qualité ?",
"position": 8,
"acceptedAnswer": {
"@type": "Answer",
"text": "Des taux élevés d'infections nosocomiales et de réadmissions peuvent indiquer des faiblesses."
}
},
{
"@type": "Question",
"name": "Comment les erreurs de communication affectent-elles la qualité ?",
"position": 9,
"acceptedAnswer": {
"@type": "Answer",
"text": "Elles peuvent entraîner des malentendus, des erreurs de traitement et une insatisfaction des patients."
}
},
{
"@type": "Question",
"name": "Quels sont les signes d'une culture de qualité faible ?",
"position": 10,
"acceptedAnswer": {
"@type": "Answer",
"text": "Un manque d'engagement du personnel et une résistance au changement sont des indicateurs clés."
}
},
{
"@type": "Question",
"name": "Comment prévenir les erreurs médicales ?",
"position": 11,
"acceptedAnswer": {
"@type": "Answer",
"text": "Mettre en place des protocoles de vérification et des formations sur la sécurité des patients."
}
},
{
"@type": "Question",
"name": "Quel rôle joue la communication dans la prévention ?",
"position": 12,
"acceptedAnswer": {
"@type": "Answer",
"text": "Une communication claire entre le personnel et les patients réduit les risques d'erreurs."
}
},
{
"@type": "Question",
"name": "Comment sensibiliser le personnel à la qualité ?",
"position": 13,
"acceptedAnswer": {
"@type": "Answer",
"text": "Organiser des ateliers et des formations sur l'importance de la qualité dans les soins."
}
},
{
"@type": "Question",
"name": "Quelles pratiques préventives sont essentielles ?",
"position": 14,
"acceptedAnswer": {
"@type": "Answer",
"text": "L'hygiène, la vérification des médicaments et la formation continue sont cruciales."
}
},
{
"@type": "Question",
"name": "Comment impliquer les patients dans la prévention ?",
"position": 15,
"acceptedAnswer": {
"@type": "Answer",
"text": "Encourager les patients à poser des questions et à exprimer leurs préoccupations sur les soins."
}
},
{
"@type": "Question",
"name": "Comment améliorer les processus de traitement ?",
"position": 16,
"acceptedAnswer": {
"@type": "Answer",
"text": "Implémenter des protocoles standardisés et former le personnel aux meilleures pratiques."
}
},
{
"@type": "Question",
"name": "Quel est l'impact de la formation sur la qualité ?",
"position": 17,
"acceptedAnswer": {
"@type": "Answer",
"text": "Une formation continue améliore les compétences et réduit les erreurs, augmentant ainsi la qualité."
}
},
{
"@type": "Question",
"name": "Comment impliquer le personnel dans le management qualité ?",
"position": 18,
"acceptedAnswer": {
"@type": "Answer",
"text": "Encourager la participation à des comités qualité et à des sessions de feedback régulières."
}
},
{
"@type": "Question",
"name": "Quels traitements peuvent être standardisés ?",
"position": 19,
"acceptedAnswer": {
"@type": "Answer",
"text": "Les traitements pour des pathologies courantes peuvent être standardisés pour garantir la qualité."
}
},
{
"@type": "Question",
"name": "Comment évaluer l'efficacité des traitements ?",
"position": 20,
"acceptedAnswer": {
"@type": "Answer",
"text": "Analyser les résultats cliniques et les retours des patients pour ajuster les pratiques."
}
},
{
"@type": "Question",
"name": "Quelles complications peuvent résulter d'une mauvaise qualité ?",
"position": 21,
"acceptedAnswer": {
"@type": "Answer",
"text": "Des complications comme les infections, les erreurs de médication et les réadmissions peuvent survenir."
}
},
{
"@type": "Question",
"name": "Comment évaluer les complications liées à la qualité ?",
"position": 22,
"acceptedAnswer": {
"@type": "Answer",
"text": "Analyser les données des incidents et les retours des patients pour identifier les tendances."
}
},
{
"@type": "Question",
"name": "Quel est l'impact des complications sur les patients ?",
"position": 23,
"acceptedAnswer": {
"@type": "Answer",
"text": "Les complications peuvent prolonger le séjour hospitalier et affecter la satisfaction des patients."
}
},
{
"@type": "Question",
"name": "Comment réduire les complications dans les soins ?",
"position": 24,
"acceptedAnswer": {
"@type": "Answer",
"text": "Mettre en œuvre des pratiques basées sur des preuves et des protocoles de soins standardisés."
}
},
{
"@type": "Question",
"name": "Quelles sont les conséquences économiques des complications ?",
"position": 25,
"acceptedAnswer": {
"@type": "Answer",
"text": "Les complications entraînent des coûts supplémentaires pour les soins et des pertes de revenus."
}
},
{
"@type": "Question",
"name": "Quels facteurs de risque affectent la qualité des soins ?",
"position": 26,
"acceptedAnswer": {
"@type": "Answer",
"text": "Le manque de formation, la surcharge de travail et la communication insuffisante sont des facteurs clés."
}
},
{
"@type": "Question",
"name": "Comment la culture organisationnelle influence-t-elle la qualité ?",
"position": 27,
"acceptedAnswer": {
"@type": "Answer",
"text": "Une culture qui valorise la qualité et l'amélioration continue favorise de meilleurs résultats."
}
},
{
"@type": "Question",
"name": "Quel est l'impact du leadership sur la qualité ?",
"position": 28,
"acceptedAnswer": {
"@type": "Answer",
"text": "Un leadership engagé et visionnaire est essentiel pour promouvoir une culture de qualité."
}
},
{
"@type": "Question",
"name": "Comment les ressources humaines influencent-elles la qualité ?",
"position": 29,
"acceptedAnswer": {
"@type": "Answer",
"text": "Des équipes bien formées et motivées sont cruciales pour maintenir des standards de qualité élevés."
}
},
{
"@type": "Question",
"name": "Quels sont les risques liés à la technologie dans les soins ?",
"position": 30,
"acceptedAnswer": {
"@type": "Answer",
"text": "Les erreurs de saisie et les défaillances technologiques peuvent compromettre la qualité des soins."
}
}
]
}
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The relationship between retirement and health is important to the formulation of retirement related policies but is a controversial topic, perhaps because selection bias has not been well-addressed i...
We balanced the baseline differences between retirement groups and working groups based on nearest neighbor matching and genetic matching with a generalized boosted model (GBM), and regression analysi...
No significant difference was found in any of the covariates between the two groups after matching. Genetic matching performed better than nearest neighbor matching in balancing the covariates. Compar...
Retirement can exert a beneficial effect on the health of elderly individuals. Therefore, the government and relevant departments should consider this potential effect when instituting policies that d...
Reports of redo laparoscopic colorectal resection (Re-LCRR) are scarce. In order to evaluate the safety and short-term outcomes of Re-LCRR, we performed a matched case-control analysis of patients who...
This was a retrospective, monocentric study that included patients who underwent Re-LCRR for colorectal cancer between January 2011 and December 2019 at our institution. The patients were compared to ...
Twenty-nine patients underwent Re-LCRR (RCRR group) and were compared to 58 patients selected by matching who underwent LCRR as primary resection (PCRR group). The median of age of the 29 patients of ...
Re-LCRR is associated with good short-term results and can be safely performed; however, the number of harvested lymph nodes is significantly reduced in comparison to primary resection cases, and furt...
Existing studies have suggested superior performance of nonparametric machine learning over logistic regression for propensity score estimation. However, it is unclear whether the advantages of nonpar...
Recently introduced cryobiopsy can provide quantitatively and qualitatively excellent specimens. However, few studies have directly compared the diagnostic yield of cryobiopsy for peripheral pulmonary...
We retrospectively reviewed data from consecutive patients who underwent diagnostic bronchoscopy using radial endobronchial ultrasound and virtual bronchoscopic navigation for PPLs (October 2015 to Se...
A total of 2,724 cases were identified, including 492 and 2,232 cases in the cryo and conventional groups, respectively. Propensity scoring was performed to match baseline characteristics, and 481 pai...
The propensity score analyses revealed that cryobiopsy was associated with a higher diagnostic yield for PPLs than conventional sampling methods. However, increased bleeding risk should be noted as a ...
Estimating the average effect of a treatment, exposure, or intervention on health outcomes is a primary aim of many medical studies. However, unbalanced covariates between groups can lead to confoundi...
With reference to the kernel function-based double-index propensity score (Ker.DiPS) estimator, we proposed the artificial neural network-based multi-index propensity score (ANN.MiPS) estimator. The A...
The simulation study showed the bias of the ANN.MiPS estimators is very small and the standard error is similar if any one of the candidate models is correctly specified under all evaluated sample siz...
The proposed estimator extended the combination of information from two models to multiple models and achieved multiply robust estimation for ATE. Extra efficiency was gained by our estimator compared...
Confounding remains one of the major challenges to causal inference with observational data. This problem is paramount in medicine, where we would like to answer causal questions from large observatio...
Matching and stratification based on confounding factors or propensity scores (PS) are powerful approaches for reducing confounding bias in indirect treatment comparisons. However, implementing these ...
Despite the extensive use of arterial catheterization (AC), clinical effectiveness of AC to alter the outcomes among patients with sepsis and septic shock has not been evaluated. The purpose of this s...
Adult patients with sepsis from Medical Information Mart for Intensive Care database were screened to conduct this retrospective observational study. Propensity score matching (PSM) was employed to es...
A total of 14,509 septic patients without shock and 4,078 septic shock patients were identified. 3,489 pairs in sepsis patients without shock and 589 pairs in septic shock patients were yielded respec...
In hemodynamically stable septic patients, AC is independently associated with higher in-hospital mortality, while in patients with septic shock, AC was not associated with improvements in hospital mo...
Colostomy is a common procedure for fecal diversion, but the optimal colostomy approach is unclear in terms of surgical outcomes and stoma-related complications. The purpose of this study was to exami...
This retrospective cohort study included patients who underwent loop colostomy at Shizuoka Cancer Center in Japan between April 2010 and March 2022. Patients were divided into two groups based on surg...
Of the 388 eligible patients, 180 (46%) were in the LAP group and 208 (54%) were in the OPEN group. The male-to-female ratio was 5.5:4.5 in the Lap group and was 5.3:4.7 in the OPEN group, respectivel...
Our results suggest that laparoscopic surgery could be beneficial and feasible in loop colostomy....
Propensity score weighting is a popular approach for estimating treatment effects using observational data. Different sets of propensity score-based weights have been proposed, including inverse proba...
We considered 648 scenarios defined by different values of the prevalence of treatment, the c-statistic of the propensity score model, the correlation between the linear predictors for treatment selec...
We found that, when the prevalence of treatment was low or high and the c-statistic of the propensity score model was moderate to high, that matching weights, overlap weights, and entropy weights had ...
Researchers using matching weights, overlap weights, and entropy weights should not assume that the estimated treatment effect is comparable to the ATE....