Engaging Heart Failure Patients with Interactive Voice Response Calls and Multimedia Programs as They Transition from Hospital to Home
Notice bibliographique
Résumé
Background: When people with heart failure (HF) are discharged from hospitals, they need to manage their condition. Patients are overwhelmed and feel poorly. To avoid complications and readmissions, it’s essential they quickly engage in new behaviors, such as weighing themselves each day. Patients often do not start or maintain these behaviors. Objective: Researchers sought to measure the impact of a user-centered, interactive voice-response (IVR) phone call and multimedia program series (EmmiTransition®) to educate, and motivate patients to take self-care actions post-discharge. Methods: Researchers analyzed call records and conducted aggregate analysis from patients who interacted with the series between August 2013 and May 2016 at UAB Medicine and other healthcare organizations. The 45-day IVR series explains key concepts and behaviors and asks patients to report information like their daily weight. Short multimedia programs provided additional information. Call records from 4,503 patients who completed the series were analyzed. There were 3,615 people who answered and interacted with the calls. Interactions were analyzed to identify the impact on driving people to report their weight daily post-discharge. The percentage of patients who reported weighing themselves daily increased steadily over the first two weeks. After viewing a multimedia program, patients could take an optional survey from Emmi Solutions. Responses and comments were tabulated. Results: On day one of the IVR calls, 66% of UAB Medicine patients who answered the call reported their weight. On day 14 of the calls, 89% of UAB Medicine patients who answered the call reported their weight, comprising a 36% increase in reporting in two weeks. The behaviors seen over the first two weeks were sustained. For the remaining 30 days of the series, 93% of patients who answered calls continued to report their weight. There were 936 patients who opted to take the post-multimedia program survey. The survey findings were as follows: 66% showed increased confidence to ask questions; 75% were prepared to manage their health condition; 75% were more motivated to take their medications; 89% were more aware of how their lifestyle impacts health; 87% were willing to take new action to manage their health; and 88% indicated that they were motivated to change their lifestyle. Examples of patient comments follow: “Read labels and try to decrease processed foods and transfer to whole fruits and vegetables utilizing herbs for seasoning”; “making sure I have a calendar over the bathroom scales to keep track of weight instead of going my memory”; “was not aware diet soda contained high salt count. I will not drink diet sodas as often maybe a glass once or twice a week”; “I will get a flu and pneumonia shot every year. This is not something I did in the past.” Conclusions: Most patients who engaged in this series started a new behavior, regularly reporting they weighed themselves. Most people continued this behavior throughout the 45-day series. Most patients who viewed a multimedia program and completed the survey expressed plans to take specific actions or behavior changes based on information offered by the program about how to weigh themselves, reduce sodium, or manage their fluids.
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 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 ».