The Motivations of Citizens to Attend an eHealth Course in the Public Library: Qualitative Interview Study
Notice bibliographique
Résumé
Background: There is worldwide recognition of the potential increase of digital health inequity due to the increased digitalization of health care systems. Digital health skill development may prevent disparities in eHealth access and use. In the Dutch context, the public library has started to facilitate support in digital health skill development by offering public eHealth courses. Understanding the motivations of people to seek support may help to further develop this type of public service. Objective: This is a qualitative study on the motivations of citizens participating in an eHealth course offered by public libraries. The study aimed to explore why citizens were motivated to seek nonformal support for eHealth use. Methods: A total of 20 semistructured interviews with participants who participated in an eHealth course were conducted in 7 public libraries across the Netherlands. The interviews were conducted between April and June 2022. Purposive sampling took place in the public library during the eHealth course. The interviews covered participants' motivations, attitudes, and experiences with eHealth use and their motivations to seek help with eHealth use. Interviews were audio-recorded and transcribed. Themes were identified via a comprehensive thematic data analysis. Results: The participants were 51 to 82 years of age (average 73.5, SD 6.6 y) and 14 (70%) participants were female. Three motivational themes were identified: (1) adapting to an increasingly digital society, (2) sense of urgency facilitated by prior experience in health care, and (3) a need for self-reliance and autonomy. Additionally, participants expressed a general desire for social contact and lifelong learning. A lack of adequate informal support by friends and family for digital skills and positive experiences with formal support from public libraries stimulated the participants to seek formal support for eHealth use. Conclusions: We show that the participants had a feeling of urgency that sparked their motivation to seek nonformal support in the public library. Motivations to participate in the eHealth course stemmed from the need to adapt to the digital society, being a patient or a caregiver, or the need or wish to be independent from others. Participants of the study were mainly older female adults who had native language abilities, up-to-date digital devices, and time. It is likely that other populations experience similar feelings of urgency but have other support needs. Future research should explore the needs and attitudes of nonusers and other users of digital health toward seeking support in eHealth access and use.
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 | 0,008 | 0,010 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,006 | 0,004 |
| Communication savante | 0,003 | 0,003 |
| Science ouverte | 0,001 | 0,004 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 ».