Evaluating acute myocardial infarction symptom recognition in women
Notice bibliographique
Résumé
When acute myocardial infarction (AMI) occurs, prompt medical treatment is of critical importance for the best outcome. Reducing the time between the onset of symptoms and treatment seeking is considered important in reducing mortality among women with AMI. A telephone survey using random digit dialing was conducted to assess the current understanding of acute myocardial infarction of 349 women in the Greater Vancouver area. This preliminary work is important for designing strategies designed to educate women and reduce the help-seeking portion of treatment delay in women experiencing acute myocardial infarction. Two response variables were examined: intention to delay and likelihood of responding appropriately to myocardial infarction symptoms. The results of this study revealed that women have not yet personalized information that they are at risk for AMI. The participants indicated a need for more information pertaining to symptom recognition for AMI; they were largely unaware that females experience AMI somewhat differently than do males. The participants were less aware of the risks that diabetes, obesity and menopause pose for AMI. The findings of this study illuminate the concern that women have problems recognizing AMI symptoms and are not likely to respond appropriately. Women who indicated that they would feel embarrassed if they made a "false alarm visit" to an emergency room (ER) for suspicious symptoms were significantly less likely to indicate that they would respond appropriately to AMI symptoms. Additionally, women who had visited ER in the past were less likely to indicate that they would respond appropriately to AMI symptoms. Furthermore, there is cause for concern that 36% of women intend to delay treatment seeking for AMI. Variables significantly associated with intention to delay were embarrassment of a false alarm, preference for self-care management, being an immigrant, and lower educational attainment. A multidimensional approach will be needed to address the information needs of women pertaining to AMI recognition and treatment seeking. Not only should health promotion campaigns deliver the information women need, but clinicians in direct contact with women, particularly those women at risk for AMI, should be aware that treatment delay for women with AMI is problematic. Health-care providers can help disseminate information to women encouraging prompt and appropriate treatment seeking for AMI. Because women who had visited ER were significantly less likely to respond appropriately to AMI symptoms, it is important that strategies for improving ER experiences be considered. Recommendations for further research include the consideration that the decision to seek treatment for AMI symptoms is likely to be multidimensional. Psychological, emotional, and social factors, in addition to cognitive understanding, are components of the complicated process of deciding to seek treatment for AMI.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».