Teledermatology in German-Speaking Countries: Patients’ and Physicians’ Perspectives
Notice bibliographique
Résumé
Background With increasing digitalization and the current pandemic, teledermatology has gained importance in German-speaking countries in recent years. The regulation on remote consultation methods was recently relaxed, allowing for a more widespread introduction of teledermatological health care services. Objective The aim of this work is to evaluate a store-and-forward (SAF) teledermatology application from the patients’ and physicians’ perspectives. Methods We carried out a noncontrolled user survey of the web-based platform derma2go in the course of the remote consultation by German dermatologists. Through the platform, patients with dermatological requests could obtain expert advice within a few hours after entering their medical history and uploading photographs of their skin lesions. Results A total of 1476 (t1) and 361 (t2) patients and 2207 dermatologist ratings were included within the evaluation. A large proportion of participants were satisfied with the application (t1=83.9%; t2=81.2%). Most participants also rated the usability as high (t1=83.0% satisfied) and were satisfied with the response time of the dermatologists (t1=92.0% satisfied). In addition, a large majority agreed with the statement that they trusted the web-based application (t1=90.5%). At t2, 20.0% of those who participated stated that their skin problem had healed; for 49.8% of participants, it had already improved; for 22.0% of participants, it was unchanged; and for 3.5% of participants, skin problems had worsened. For 64.0% of users, the request was completely resolved, and for 24.2% or users, it was partly resolved as result of the consultation. For 79.7% of users, no additional information was needed by the participating dermatologists. From the practitioners’ perspective, 71.2% of all requests were completely resolved and 24.7% were partly resolved. Conclusions Our evaluation has shown that SAF applications, exemplified by derma2go, are likely to improve access to dermatological care, with a high patient satisfaction and a high rate of resolved requests, from the patients’ and physicians’ perspectives. In the future, teledermatological SAF applications can represent a supplement to the existing routine care in dermatology. The indications, patient groups, and use cases, for which the application is particularly suitable, will be determined in further studies.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».