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Enregistrement W7008901949

Consumer reported digital immunization records : feasibility, applicability, and public health utility in the Canadian context

2024· article· en· W7008901949 sur OpenAlexaboutno aff

Notice bibliographique

RevueOpen Archive (Karolinska Institutet) · 2024
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueVaccine Coverage and Hesitancy
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésImmunizationContext (archaeology)Public healthVaccinationmHealthPublic health surveillancePsychological intervention
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Background: Vaccination is one of the most effective public health interventions of all time. Public health programs collect data on Vaccination Coverage (VC) to determine levels of protection and guide resource allocation for further vaccination campaigns but VC data completeness and utility is a challenge in many settings. Self-report is a sensitive and relatively specific indicator of vaccination status but incorporation into VC analyses is limited. Mobile technologies can enhance Immunization Information Systems, not least by facilitating bi-directional communications with individuals. This permits collection of self-reported immunization records and a channel to deliver reminders and reliable information back to individuals. However, evaluations of consumer apps for immunization are still nascent, often small-scale, and conducted most in controlled research environments. Aim: The overarching aim of this thesis is to shed light on the feasibility, public health utility and applicability of mHealth apps for recording, reporting, and encouraging immunization. Methods: Paper I was an ecological, quality-assurance study describing use of Pan- Canadian mobile immunization app for parental reporting of children’s primary immunization series in Ottawa, Ontario, Canada. Paper II was a single cohort interrupted time series analysis examining the impact of the COVID-19 pandemic in Canada on uptake of a Pan-Canadian mobile immunization app as well as parentally reported pneumococcal series completion rates at the child’s 13-months of age. Paper III was a cross-sectional study describing the characteristics of family/parental characteristics and their association of reporting vaccinating their children against influenza among Pan-Canadian mobile immunization app users in the 2018/2019 influenza season. Paper IV was a systematic review and meta-analysis examining effectiveness of digital push interventions compared to non-digital interventions at increasing vaccine uptake and series completion. Results: Feasibility and Acceptability: The first successful transmission of records occurred April 27, 2015 (Paper I). There were 63,833 pediatric records and 11,381 unique parent-child dyads that met inclusion criteria, respectively in Papers II and III. The onset of COVID-19 restrictions was associated with an abrupt and continued decline in enrollment of children in the app compared to expected values (Paper II). Public Health Utility: 530 (20%) of children were less than 12 months old when their record was first submitted via the app (Paper I). The onset of COVID-19 restrictions was associated with an initial increase in self-reported completion of pneumococcal series, followed by a modest decrease leading to a net effect of -20%, compared to expected values (Paper II). Influenza vaccination was reported for 32.3% (3,675/11,381) of children and 42.0% (4,788/11,381) of parents. Parents receiving the seasonal influenza vaccine was the most strongly associated characteristic with pediatric influenza vaccination (OR 17.05, 95% CI 15.08, 19.28) compared to parents who did not report being vaccinated against influenza that season (Paper III). Applicability: When comparing digital push with non-digital interventions, patients had 1.18 (95% CI 1.11, 1.25) the odds of receiving vaccination or series completion. Analyses had high statistical heterogeneity, but risk of bias was low (Paper IV). Conclusions: Through four studies, this thesis provided supportive evidence on the potential to mobile apps to enhance IIS. Successful transmission of self-reported immunization records to public health via mobile app was demonstrated to be feasible and acceptable. The onset of COVID-19 was associated with decreased app use and reported pediatric pneumococcal series completion. Parents receiving the seasonal influenza vaccine was associated with reporting their children as immunized. Receiving digital push notifications increases the odds of vaccine uptake and series completion. These studies are subject to limitations but show potential for mHealth apps to facilitate self-report of vaccination data, assess trends and associations in vaccine behavior and encourage immunization through push interventions. List of scientific papers I. Atkinson, K.M., El-Khatib, Z., Barnum, G., Bell, C., Turcotte, M.C., Murphy, M.S., Teitelbaum, M., Chakraborty, P., Laflamme, L. and Wilson, K., 2017. Using Mobile Apps to Communicate Vaccination Records: A City-wide Evaluation with a National Immunization App, Maternal Child Registry and Public Health Authorities. Healthcare Quarterly. 20(3), pp.41-46. https://doi.org/10.12927/hcq.2017.25289 II. Atkinson, K.M., Ntacyabukura, B., Hawken, S., Laflamme, L. and Wilson, K., 2022. Effects of the COVID-19 pandemic on selfreported 12-month pneumococcal vaccination series completion rates in Canada. Human Vaccines & Immunotherapeutics. 18(7), p.2158005. https://doi.org/10.1080/21645515.2022.2158005 III. Atkinson, K.M., Ntacyabukura, B., Hawken, S., El-Khatib, Z., Laflamme, L., Wilson, K. Parent and family characteristics associated with selfreported uptake of pediatric influenza vaccine in a sample of Canadian digital vaccination platform users. A cross-sectional study. [Submitted] IV. Atkinson, K.M., Wilson, K., Murphy, M.S., El-Halabi, S., Kahale, L.A., Laflamme, L.L. and El-Khatib, Z., 2019. Effectiveness of digital technologies at improving vaccine uptake and series completion–A systematic review and meta-analysis of randomized controlled trials. Vaccine. 37(23), pp.3050-3060. https://doi.org/10.1016/j.vaccine.2019.03.063

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)0,026
score de la tête « metaresearch » (Gemma)0,098
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,105
Score d'incertitude au seuil0,760

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0260,098
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0040,014
Études des sciences et des technologies0,0070,003
Communication savante0,0080,003
Science ouverte0,0040,003
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0040,000

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.

Tête enseignante Opus0,103
Tête enseignante GPT0,366
Écart entre enseignants0,263 · 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'étudeObservationnel
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

Citations0
Publié2024
Routes d'admission1
Résumé présentoui

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