Innovations in providing and accessing preventative primary care for young children during COVID-19
Notice bibliographique
Résumé
Context: The COVID-19 pandemic created many barriers for clinicians to deliver primary care and for parents/caregivers to access primary care for their young children. Research has shown that in some locations, primary care services were able to resume and recover to pre-pandemic visit rates for patients < 6 years old shortly after the initial lockdown in March/April 2020. Little is known, however, about what programs or services were implemented or adapted during the pandemic to facilitate the continuation of preventative primary care services for young children, including well-baby and well-child visits. Objective: To discover innovative programs or services that were adapted or created to help deliver and access primary care for children under the age of six years. Study Design and Analysis: A qualitative study design was employed using survey and interview methods. Data was analyzed using qualitative content analysis. Questions were structured to capture the delivery and access dimensions outlined in the Levesque conceptual framework for healthcare access. Setting: Ontario and Quebec, Canada. Populations Studied: Primary care providers who delivered care to young children and parents/caregivers of children who were under the age of six during the pandemic. Instrument: An online survey was distributed, and subsequent semi-structured telephone or video interviews were conducted between May and December 2023. Outcome Measures: Innovative primary care programs and services for children < 6 years old during the COVID-19 pandemic. Results: 102 individuals completed the on-line survey and of those, 19 participated in the interviews (13 parents and six primary care providers). Five over-arching themes arose from the data: 1) Clear decisional guidance, 2) Virtual care integration, 3) Clinic-level adaptations, 4) Proactive communication, and 5) Flexible policies. Conclusions: Participants’ experiences and ideas demonstrate that creativity and an openness to adapting can help continue established care, and even improve upon how care was previously provided, even when facing a healthcare crisis such as a global pandemic. The themes presented in this study stem from an overarching sentiment and shared desire to relieve decisional stress, and reduce the anxiety, conflict, frustration, and burden experienced by both those delivering and accessing primary care.
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 | 0,006 | 0,012 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,004 | 0,004 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,001 | 0,004 |
| Intégrité de la recherche | 0,001 | 0,002 |
| 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 ».