Lessons From the Field From a Volunteer Telehealth Ambassador Program to Enhance Video Visits Among Low-Income Patients: Qualitative Improvement Study
Notice bibliographique
Résumé
BACKGROUND: The prevalence of telehealth video use across the United States is uneven, with low uptake in safety-net health care delivery systems, which care for patient populations who face barriers to using digital technologies. OBJECTIVE: This study aimed to increase video visit use in an urban safety-net delivery system. We piloted a telehealth ambassador program, in which volunteers offered technical support to patients with access to digital technologies to convert primary care visits already scheduled as telehealth audio-only visits to telehealth video visits. METHODS: We used a descriptive approach to assess the feasibility, efficacy, and acceptability of the pilot telehealth ambassador program. Feasibility was quantified by the percentage of eligible patients who answered calls from telehealth ambassadors. Program efficacy was measured in two ways: (1) the percentage of patients with access to digital technology who interacted with the navigators and were successfully prepared for a telehealth video visit, and (2) the percentage of prepared patients who completed their scheduled video visits. Program acceptability was ascertained by a structured telephone survey. RESULTS: Telehealth ambassadors attempted to contact 776 eligible patients; 43.6% (338/776) were reached by phone, among whom 44.4% (150/338) were provided digital support between March and May 2021. The mean call duration was 8.8 (range 0-35) minutes. Overall, 67.3% (101/150) of patients who received support successfully completed a telehealth video visit with their provider. Among the 188 patients who were contacted but declined video visit digital support, 61% (114/188) provided a reason for their decline; 42% (48/114) did not see added value beyond a telehealth audio-only visit, 20% (23/114) had insufficient internet access, and 27% (31/114) declined learning about a new technology. The acceptability of the telehealth ambassador program was generally favorable, although some patients preferred having in-real-time technology support on the day of their telehealth video visit. CONCLUSIONS: This high-touch program reached approximately one-half of eligible patients and helped two-thirds of interested patients with basic video visit capability successfully complete a video visit. Increasing the program's reach will require outreach solutions that do not rely solely on phone calls. Routinely highlighting the benefits of video visits, partnering with community-based organizations to overcome structural barriers to telehealth use, and offering in-real-time technology support will help increase the program's efficacy.
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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 | 0,025 | 0,026 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,008 | 0,005 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,003 | 0,005 |
| Intégrité de la recherche | 0,001 | 0,003 |
| 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 ».