COVID-19 Pandemic Experiences Among Adults, Youth, and Childcare Providers: Protocol for a Mixed Methods Study
Notice bibliographique
Résumé
BACKGROUND: The COVID-19 pandemic challenged families, youth, and frontline workers, including childcare providers. Studying lived experiences before, during, and near the pandemic's end from multiple perspectives provides a more holistic and deeper understanding of its effects and impacts. OBJECTIVE: This study investigated how parental, childcare provider, and youth stress, mental health, and role overload relate to individual coping and family functioning, as well as vaccine attitudes and uptake patterns among youth, parents, and childcare providers. Information learned from this investigation will inform policy and messaging for future public health crises. METHODS: This study is an explanatory sequential mixed methods study designed to capture the voices of parents of children younger than 18 years of age, childcare providers, and youth aged 12-17 years through surveys and interviews. This retrospective cross-sectional study began with a web-based survey that included demographic questions and validated scales to assess personal well-being, household and family dynamics, behavioral problems, and vaccination-related perceptions, attitudes, and behaviors. Open-ended responses about pandemic experiences for themselves and their families were included. A subsample of parents, youth, and childcare providers was selected for in-depth interviews about their pandemic-related experiences. Descriptive statistics were used to summarize demographic characteristics, and internal consistency was assessed for all survey measures using Cronbach α. Future studies will use inferential statistical techniques to analyze survey measures, thematic analysis for open-ended survey responses and interview data, and mixed methods data integration to synthesize quantitative and qualitative findings. RESULTS: Data collection for the study began in August 2022 and finished in August 2023. Data analysis is currently in progress to address research questions, and study preparation and dissemination efforts are underway. A total of 506 adults and 93 youths answered a study survey, and 45 adults and 21 youths completed in-depth interviews. Among the 506 adults, 166 were childcare providers. The adult sample had a mean age of 42.8 (SD 9.15) years and was predominantly female (467/506, 92.3%), with 9.7% (49/506) identifying as Black, 4.7% (24/506) as Hispanic, and 81.2% (411/506) being parents of children aged 17 years or younger. The youth sample had a mean age of 14.5 (SD 1.63) years, and 55.9% (52/93) were female, 6.4% (6/93) were Black, and 17.2% (16/93) were Hispanic. Several dyads and triads participated. The sample included 42 parent-child dyads, 3 parent-parent dyads, 2 parent-parent-child triads, and 21 parent-child-child triads. CONCLUSIONS: These data will be used to understand the diverse experiences of families, youth, and childcare providers during and after the COVID-19 pandemic. This includes successful and unsuccessful adaptations, responses to policies and mandates, and the unmet needs for health messaging, programs, policies, and services. This research aims to guide the development of effective policies and public health communication, fostering scalable and sustainable messaging resources. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/77521.
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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 | 0,075 | 0,048 |
| Méta-épidémiologie (sens strict) | 0,004 | 0,004 |
| Méta-épidémiologie (sens large) | 0,005 | 0,004 |
| Bibliométrie | 0,005 | 0,005 |
| Études des sciences et des technologies | 0,006 | 0,003 |
| Communication savante | 0,004 | 0,004 |
| Science ouverte | 0,004 | 0,004 |
| Intégrité de la recherche | 0,005 | 0,007 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,078 | 0,016 |
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 ».