Online Health Information Seeking Behaviour and Perceived Trust on Health Communication Channels among Undergraduate Students of Bangladesh
Notice bibliographique
Résumé
Background: Health communication channels include traditional media like television, radio and print newspapers along with online newspapers and digital social media platforms like Facebook, YouTube, Twitter (X), and Blogs. The internet has become a valuable resource for accessing health information allowing individuals to actively engage in their health-related decision making. Objective: Our study aims to observe online health information seeking behaviour and perceived trust on those online health communication channels among the undergraduate level students of Dhaka City in Bangladesh. Materials & Methods: This cross-sectional study was conducted between January and December of 2023. A total of 384 students hailing from four institutions of Dhaka city namely Jagannath University, Daffodil International University, Enam Medical College and Mandy Dental College participated in this study. A pretested questionnaire was used for data collection, which included demographic characteristics, online health information seeking behaviour and perceived trust on those online health communication channels. For measuring perceived trust on online channels, the items were adopted from the Health Information National Trends Survey (HINTS) scale. Results: The majority (63%) of the study participants were ≥21 years old; the mean age was 20.98±1.18 years. 53.4% were males and 46.6% were females; male-female ratio was 1.5:1. 52% had medical/dental background. Most of the respondents used internet for health information within the week before survey (55.5%) and preferred digital channels (89%) over broadcast channels (11%) for health information. The mean of perceived trust on online channels was observed 3.13±1.64; online newspapers were the most trusted (3.03), while Facebook was the least trusted (2.41). Younger respondents aged ≤20 years reported higher perceived trust in online health information than those aged ≥21 years (P<0.05). A higher perceived trust was also observed among female students compared to male students (P<0.05). However, correlation of educational background and institutions with recent internet use did not show any statistically significant difference among the students (P>0.05). Those who preferred digital channels exhibit much greater levels of trust on those online channels compared to those who preferred broadcast channels (P<0.05). Conclusion: Undergraduate level students regularly use the internet and prefer digital channels over broadcast channels for health information. Online newspapers are found to be the most trusted among health communication channels. J Med Coll Women Hosp.2025; 21 (1):86-94
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 | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 ».