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Enregistrement W6922161216 · doi:10.11575/prism/39437

Hit Me with Your Best Shot: Policy Options to Improve Immunization Rates in Alberta

2020· other· en· W6922161216 sur OpenAlexaboutno aff

Notice bibliographique

RevueOpen MIND · 2020
Typeother
Langueen
Domaine
Thématique
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésImmunizationHerd immunityVaccinationCapstonePublic healthRoutine immunizationInfluenza vaccine

Résumé

récupéré en direct d'OpenAlex

Both childhood immunizations and seasonal influenza immunizations in Alberta consistently fall below the provincial immunization coverage targets. These targets are set to establish herd immunity, which blocks infectious diseases from spreading throughout communities and causing outbreaks. Alberta’s failure to reach immunization targets may produce adverse health and economic consequences, due to the lack of herd immunity for vaccine-preventable diseases. This Capstone explores immunization policies that promote immunization coverage and address vaccine hesitancy to provide policy options for Alberta to increase immunization coverage. These options can help increase coverage for current immunizations such as childhood and seasonal influenza immunizations and allow Alberta to be better prepared to implement policy for future immunizations such as the COVID-19 immunization. This Capstone examines policies, studies, and reports related to immunization in Alberta, Canada, and throughout the globe. This Capstone attempts to identify reasons for insufficient immunization coverage and recommends policy options to increase immunization coverage in an Alberta-specific context. Recent immunization data suggests that previous efforts were unable to improve childhood immunization coverage in Alberta, as immunization rates remain similar to rates in 2007. Alberta’s seasonal influenza immunization rate remains low at 32% coverage, which is a slight increase from previous years. Alberta focuses seasonal influenza immunization efforts on vulnerable groups yet does not meet coverage targets for these groups. Academic literature identifies vaccine hesitancy as the predominant reasons for choosing not to immunize. Literature also indicates the need to address these concerns rather than focus on educating the public on the benefits of immunization. However, there is little reporting done on Albertan’s reasoning for choosing not to immunize. Alberta Health reports that promoting high immunization rates for disease prevention is a primary health objective but does not detail specific plans to reach this objective other than cover the costs of immunizations. Alberta’s current immunization policy (AIP) faces criticism for being too relaxed and insufficient in addressing vaccine hesitancy and promoting immunization coverage. Alberta recently introduced new legislation to amend Alberta’s Public Health Act with the aim of collecting more accurate immunization reporting information and identifying unimmunized populations. An examination of reports at the national level demonstrates that federal immunization reporting systems provide inaccurate and potentially inconsistent data due to differences in provincial immunization schedules and reporting standards. The Federal government has launched strategies to increase inter-jurisdictional immunization efforts and provide funding grants to jurisdictions with projects aimed at enhancing immunization coverage and reporting. At a provincial level, British Columbia recently created an immunization registry for more accurate reporting. BC also has an Influenza Control Program, which increased seasonal influenza immunization rates but faced issues in implementation. Ontario has a mandatory childhood immunization policy, yet the province has similar childhood immunization coverage rates to provinces without mandatory policies. Ontario’s mandatory policy is criticized for relying on self-reported data, late data collection, and allowing for nonmedical immunization exemptions. Concerning seasonal influenza immunizations, Ontario employs a less-targeted approach than Alberta. This approach produces higher seasonal influenza immunization coverage compared to provinces with more targeted approaches and may be a more economic approach. This Capstone also explores policies from abroad. Each region was chosen to illustrate policy options that could be applied in an Albertan context, as well as options that may not be effective in Alberta. The policy approaches from abroad include incentive programs demonstrated through a large study in Singapore and Australian policy, reporting systems such as the United Kingdom’s “MMR Catch-up Campaign”, the complexities of mandatory immunization policy demonstrated in the evolution of Californian immunization legislation and a comparison of European countries’ immunization rates. Based on a review of Alberta’s current immunization circumstances, and the policy options reviewed, this Capstone recommends three policy options: (1) introduce more comprehensive immunization measures, evaluations, and reporting; (2) launch pilot programs to study the impact of financial incentives for immunizations in Alberta; and (3) expand Alberta’s seasonal influenza immunization program to become more universal rather than targeted, while also considering mandating influenza immunizations for target populations such as healthcare workers. These policy options may also be applicable to future COVID-19 immunization policy. However, prior to any large immunization reforms, Alberta must focus on enhancing immunization reporting and evaluation measures to better understand demographics of unimmunized populations and their reasons for remaining unimmunized.

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)0,009
score de la tête « metaresearch » (Gemma)0,015
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: aucune
Score de désaccord entre enseignants0,085
Score d'incertitude au seuil0,619

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0090,015
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0030,002
Études des sciences et des technologies0,0050,002
Communication savante0,0070,002
Science ouverte0,0050,004
Intégrité de la recherche0,0050,003
Charge utile insuffisante (le modèle a refusé de juger)0,0100,001

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 Opus0,038
Tête enseignante GPT0,339
Écart entre enseignants0,301 · 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'étudeSans objet
Domainenon disponible
GenreAutre

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

En bref

Citations0
Publié2020
Routes d'admission1
Résumé présentoui

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