The Childhood Immunization Reminder Project (ChIRP): A pilot test of text message immunization reminders to improve immunization attendance in Alberta, Canada (Preprint)
Notice bibliographique
Résumé
BACKGROUND Vaccine coverage for 18-month-old children in Canada is often below recommended levels, which may be partially due to parental forgetfulness. Text message reminders have been shown to potentially improve childhood immunization uptake, but were not widely utilized in Alberta, Canada. Additionally, it has been noted that language barriers may impede immunization service delivery but continue to be unaddressed in many existing reminder/recall systems. OBJECTIVE We aimed to assess the effectiveness and acceptability of using text messages, containing a link to online immunization information in different languages, to remind parents of their child’s 18-month immunization appointment. METHODS The Childhood Immunization Reminder Project (ChIRP) was a pilot intervention at two public health centres, one each in Lethbridge and Edmonton, Alberta, Canada. Two text message reminders were sent to parents: (1) a booking reminder 3 months before their child turned 18 months old, and (2) an appointment reminder three days before their scheduled appointment. Booking reminders included a link to the study website hosting immunization information in nine languages. To evaluate the intervention effectiveness, we compared absolute attendance no-show rates pre- and post-intervention. Acceptability of the intervention was evaluated through online surveys completed by parents and public health centre staff. Google Analytics was used to determine how often the online immunization information was accessed, from where, and in which languages. RESULTS Following the intervention, the Edmonton health centre had a reduction of 6.4% (95% CI: 3.0, 9.8) in appointment no-shows, with no change at the Lethbridge health centre (0.8%; 95% CI: -1.4, +3.0). Acceptability surveys were completed by 222 parents (response rate: 23.9%) and 22 staff. Almost all (>95%) respondents indicated that the reminders were helpful and had useful suggestions for improvements. All surveyed parents (100.0%) found it helpful to read the online immunization information in their language of choice. Google Analytics data showed that the immunization information was most often read in English (57.0%), Punjabi (25.1%), Arabic (6.3%), Spanish (5.8%), Italian (1.9%), Chinese (1.9%), French (1.0%), Tagalog (0.5%), and Vietnamese (0.5%). CONCLUSIONS The study findings support the use of text message reminders as a convenient and acceptable method to minimize parental forgetfulness and potentially reduce appointment no-shows. The diverse languages accessed in the online immunization information suggest the need to provide appropriate translated immunization information. Further research is needed to evaluate the impact of text message reminders on childhood immunization coverage in different settings.
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 | 0,007 | 0,004 |
| 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 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».