Usability and Usefulness of Occupational Health Care Patient Portals: Patient-Based Cross-Sectional Study
Notice bibliographique
Résumé
Background: Patient portals are a crucial part of modern health care services, as they provide patients with access to their personal information and enable communication with health care professionals. The usability and usefulness of these portals are decisive factors in their adoption. There is a lack of previous research on the use of patient portals in occupational health care (OHC). Objective: This study aims to examine patients' experiences with the usability and usefulness of OHC patient portals and to identify the factors that influence their perceived usability and usefulness. Methods: A cross-sectional study was conducted through a web-based survey in April 2024 in Finland. Of the 3072 respondents, usability was assessed using 12 statements, and usefulness was evaluated with 9 statements. Responses were collected on a 5-point Likert scale. The survey also gathered respondents' background information, including age, gender, education, information and communication technology (ICT) skills, satisfaction, frequency of use, and data privacy concerns. Data analysis was performed using SPSS Statistics (version 29; IBM Corp), applying frequency analysis and a general linear model. Results: The results showed that 75.1% (1895/2523) of respondents agreed that the portal was easy to learn and use, 70.5% (1774/2517) felt it supported collaboration with OHC, while 52.4% (1316/2511) reported that it provided a good overview of their work ability, and 35.5% (891/2505) felt it offered a good overview of their working conditions. The perceived usability of OHC patient portals was significantly associated with several factors in the adjusted model: fear of unauthorized access to data (F4=4.49, P=.001, η²=0.007), need for guidance (F4=52.2, P<.001, η²=0.080), frequency of use (F1=34.3, P<.001, η²=0.014), satisfaction with the portal (F1=577.1, P<.001, η²=0.193), perceived ICT skills (F1=12.2, P<.001, η²=0.005), and age (F1=10.8, P<.001, η²=0.004), with younger users (≤50 years) reporting better usability. Perceived usefulness was significantly influenced by frequency of use (F1=9.80, P=.002, η²=0.004) and satisfaction (F1=548.0, P<.001, η²=0.183), while other factors such as fear of unauthorized access (F4=0.41, P=.80), need for guidance (F4=1.52, P=.20), ICT skills, education, gender, and age were not statistically significant. Conclusions: OHC patient portals must enhance their capacity to provide information on work ability and working conditions. Improved documentation of work-related hazards, risks, and workload factors in medical records is needed. These enhancements could raise patient awareness of work well-being factors.
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 | 0,004 | 0,009 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 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 ».