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Enregistrement W2960995147 · doi:10.1007/s40271-019-00371-0

A Patient-Centered Description of Severe Asthma: Patient Understanding Leading to Assessment for a Severe Asthma Referral (PULSAR)

2019· article· en· W2960995147 sur OpenAlexaboutno aff
Tonya Winders, Andrew M. Wilson, Monica Fletcher, Anthony McGuinness, David Price

Notice bibliographique

RevuePatient · 2019
Typearticle
Langueen
DomaineMedicine
ThématiqueAsthma and respiratory diseases
Établissements canadiensnon disponible
Organismes subventionnairesWashington University in St. Louis
Mots-clésAsthmaReferralMedicineIntensive care medicineMedical emergencyFamily medicineInternal medicine

Résumé

récupéré en direct d'OpenAlex

Although severe asthma can be life-threatening, many patients are unaware they have this condition. Patient Understanding Leading to Assessment for a Severe Asthma Referral (PULSAR) is a novel, multidisciplinary working group aiming to develop and disseminate a global, patient-centered description of severe asthma to improve patient understanding of severe asthma and effect a change in patient behavior whereby patients are encouraged to visit their healthcare professional, when appropriate. Current definitions from patient organization websites, asthma guidelines, and medication information for key asthma drugs were assessed and informed a multidisciplinary working group, convened to identify common concepts and terminology used to define severe asthma. A patient-centered description of severe asthma and patient checklist were drafted based on working-group discussions and reviewed by an external behavioral scientist for patient understanding and relevance. These were tested using an online US/Canadian survey. The patient-centered description of severe asthma and patient checklist were reviewed and re-drafted by the authors. The text was simplified following the behavioral-scientist review. The survey (n = 153) included 105 patients with severe asthma. Of those with severe asthma, 92.2% of patients reported that the description was consistent with their experiences of severe asthma and 92.6% of patients reported that the PULSAR initiative would encourage them to visit their healthcare provider. A patient-centered description of severe asthma has been developed and tested using patients with severe asthma; this description will allow patients to assess whether they might have severe asthma and prompt them to visit their healthcare provider, if appropriate. Severe asthma is a serious form of asthma. It can be harmful to your health and affect the way you live your life. Some patients do not know that they have severe asthma or visit their doctor and ask for help. A new group, called Patient Understanding Leading to Assessment for a Severe Asthma Referral (PULSAR), would like to help patients understand their asthma symptoms. They have developed a description of severe asthma and a checklist. These may help patients decide if their symptoms require a visit to the doctor. The PULSAR description and checklist were developed in four parts. Part 1 looked at if patients and doctors/nurses defined severe asthma in the same way. Results showed that patients defined severe asthma using symptoms and doctors defined severe asthma using treatments. In Part 2, patients, patient advocacy group members, nurses, doctors, specialists, and a scientist talked about the ways severe asthma were described in Part 1. The group agreed on a set of words to describe severe asthma. These words were then used in the PULSAR description and checklist. In Part 3, a behavioral scientist reviewed the PULSAR description and checklist. They said that simple language would make it easy to understand. In Part 4, patients with severe asthma were asked what they thought about the description and checklist using an online survey. The survey showed that almost all patients understood the description and checklist. Many patients said that the description and checklist encouraged them to see a doctor. A new description of severe asthma and checklist have been developed by PULSAR. Testing shows that they should encourage patients to visit their doctor when needed. This may help patients understand their symptoms and help doctors make the correct diagnosis. This should help patients get the support and treatment they need.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,020
score de la tête « metaresearch » (Gemma)0,040
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,020
Score d'incertitude au seuil0,107

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0200,040
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0020,001
Communication savante0,0010,002
Science ouverte0,0010,004
Intégrité de la recherche0,0010,003
Charge utile insuffisante (le modèle a refusé de juger)0,0020,001

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.

Tête enseignante Opus0,051
Tête enseignante GPT0,300
Écart entre enseignants0,248 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations9
Publié2019
Routes d'admission1
Résumé présentoui

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