Choosing Wisely matters in reducing radiation footprints
Notice bibliographique
Résumé
Dear Editor, We read with interest the succinct article “Radiation in medical practice and health effects of radiation: Rationale, risks, and rewards” that highlights a hidden but important issue in the healthcare system.[1] The types, problems, and key steps in the prevention of radiation hazards, that affects both patient and healthcare workers, are well described in the article. More acknowledgment and recognition of the risk posed by invisible radiation is important for creating a safer working environment. We like to add one important aspect as a corollary to the article. The widespread adoption of this initiative at the primary care level shall be critical to its success. Choosing Wisely®, a popular campaign since 2012, promotes communication between patient and caregiver with the objective to enable patient to choose a treatment that is evidence-based, truly necessary, and free from harm and duplication.[2] The campaign is supported by numerous societies or associations including the American College of Radiology (ACR) and the American Academy of Family Physicians (AAFP) among others. All supporting societies update and review a list of diagnostic and therapeutic interventions that are overused and draw recommendations based on the best available evidence. Image Wisely and Image Gently campaigns are also directed to provide safe radiation procedures in adults and children.[3] These campaigns also display radiation safety information for practitioners and patients for better decision-making. The Choosing Wisely® campaign has gathered widespread collaboration with more than 80 societies endorsing it with a collection of more than 500 recommendations apart from thousands of patient-friendly materials distributed and educative webinars conducted. Members of World Organization of Family Doctors (WONCA) also advocated its support for the campaign for its key principles against the problem of “overmedicalization” or “overdiagnosis.”[4] Recently, the National Cancer Grid of India task force recommended guidelines regarding diagnosis and treatment palliative care, diagnosis, and delivery of care to improve cancer care in India.[5] A few of these recommendations were based on Choosing Wisely USA and Canada list. Although the campaign is well received by many international fora, its pace of adoption in developing countries such as India is tardy. India has complex healthcare machinery with a gamut of heterogeneous treatment modalities and practices. Many patients get outdated, unnecessary, and unauthentic diagnostic and treatment choices. Radiation-related investigations are frequently prescribed and with proper education, the burden of these investigations in the situation where these do not bring any added knowledge or advantage on the board can be curtailed. Over the years, the quantum of radiation and its after-effects can be lessened in society by following specialty-specific recommendations. Proper and rationale prescription for common radiographs and computerized tomograms can even be done at the primary care level by studying relevant recommendations. As the primary care level is responsible for catering to a large section of society at the grass-root level, the adoption of the campaign by Indian family physicians and primary care personnel is instrumental to its success. The benefit of the campaign shall reach the common person if the Academy of Family Physicians of India (AFPI) endorses it in letter and spirit. Financial support and sponsorship Nil. Conflicts of interest There are no conflicts of interest. Acknowledgment None.
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 | 0,010 | 0,090 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,004 |
| Communication savante | 0,007 | 0,007 |
| Science ouverte | 0,003 | 0,002 |
| Intégrité de la recherche | 0,019 | 0,028 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,017 | 0,010 |
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 ».