FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4210363412> ?p ?o ?g. }

• W4210363412 endingPage "e34470" @default.
• W4210363412 startingPage "e34470" @default.
• W4210363412 abstract "Atrial fibrillation (AF) is an increasingly common chronic health condition for which integrated care that is multidisciplinary and patient-centric is recommended yet challenging to implement.The aim of Coordinating Health Care With Artificial Intelligence-Supported Technology in AF is to evaluate the feasibility and potential efficacy of a digital intervention (AF-Support) comprising preprogrammed automated telephone calls (artificial intelligence conversational technology), SMS text messages, and emails, as well as an educational website, to support patients with AF in self-managing their condition and coordinate primary and secondary care follow-up.Coordinating Health Care With Artificial Intelligence-Supported Technology in AF is a 6-month randomized controlled trial of adult patients with AF (n=385), who will be allocated in a ratio of 4:1 to AF-Support or usual care, with postintervention semistructured interviews. The primary outcome is AF-related quality of life, and the secondary outcomes include cardiovascular risk factors, outcomes, and health care use. The 4:1 allocation design enables a detailed examination of the feasibility, uptake, and process of the implementation of AF-Support. Participants with new or ongoing AF will be recruited from hospitals and specialist-led clinics in Sydney, New South Wales, Australia. AF-Support has been co-designed with clinicians, researchers, information technologists, and patients. Automated telephone calls will occur 7 times, with the first call triggered to commence 24 to 48 hours after enrollment. Calls follow a standard flow but are customized to vary depending on patients' responses. Calls assess AF symptoms, and participants' responses will trigger different system responses based on prespecified protocols, including the identification of red flags requiring escalation. Randomization will be performed electronically, and allocation concealment will be ensured. Because of the nature of this trial, only outcome assessors and data analysts will be blinded. For the primary outcome, groups will be compared using an analysis of covariance adjusted for corresponding baseline values. Randomized trial data analysis will be performed according to the intention-to-treat principle, and qualitative data will be thematically analyzed.Ethics approval was granted by the Western Sydney Local Health District Human Ethics Research Committee, and recruitment started in December 2020. As of December 2021, a total of 103 patients had been recruited.This study will address the gap in knowledge with respect to the role of postdischarge digital care models for supporting patients with AF.Australian New Zealand Clinical Trials Registry ACTRN12621000174886; https://www.australianclinicaltrials.gov.au/anzctr/trial/ACTRN12621000174886.DERR1-10.2196/34470." @default.
• W4210363412 created "2022-02-08" @default.
• W4210363412 creator A5004159814 @default.
• W4210363412 creator A5009434042 @default.
• W4210363412 creator A5012111658 @default.
• W4210363412 creator A5018800355 @default.
• W4210363412 creator A5022102381 @default.
• W4210363412 creator A5022478684 @default.
• W4210363412 creator A5024302674 @default.
• W4210363412 creator A5024836608 @default.
• W4210363412 creator A5026060508 @default.
• W4210363412 creator A5032880706 @default.
• W4210363412 creator A5075388691 @default.
• W4210363412 creator A5076351586 @default.
• W4210363412 date "2022-04-13" @default.
• W4210363412 modified "2023-10-17" @default.
• W4210363412 title "Coordinating Health Care With Artificial Intelligence–Supported Technology for Patients With Atrial Fibrillation: Protocol for a Randomized Controlled Trial" @default.
• W4210363412 cites W1276630907 @default.
• W4210363412 cites W1854618833 @default.
• W4210363412 cites W1979290264 @default.
• W4210363412 cites W2056176297 @default.
• W4210363412 cites W2064540844 @default.
• W4210363412 cites W2066005581 @default.
• W4210363412 cites W2082366446 @default.
• W4210363412 cites W2085001923 @default.
• W4210363412 cites W2093274439 @default.
• W4210363412 cites W2111786081 @default.
• W4210363412 cites W2115655084 @default.
• W4210363412 cites W2122473406 @default.
• W4210363412 cites W2134807869 @default.
• W4210363412 cites W2138664283 @default.
• W4210363412 cites W2147018083 @default.
• W4210363412 cites W2154848247 @default.
• W4210363412 cites W2155355450 @default.
• W4210363412 cites W2170806468 @default.
• W4210363412 cites W2173071518 @default.
• W4210363412 cites W2178753374 @default.
• W4210363412 cites W2520116453 @default.
• W4210363412 cites W2562241672 @default.
• W4210363412 cites W2609607611 @default.
• W4210363412 cites W2617318893 @default.
• W4210363412 cites W2738260258 @default.
• W4210363412 cites W2743365071 @default.
• W4210363412 cites W2745811192 @default.
• W4210363412 cites W2747395960 @default.
• W4210363412 cites W2771582918 @default.
• W4210363412 cites W2776338676 @default.
• W4210363412 cites W2781850304 @default.
• W4210363412 cites W2792852025 @default.
• W4210363412 cites W2792989127 @default.
• W4210363412 cites W2806944804 @default.
• W4210363412 cites W2808016804 @default.
• W4210363412 cites W2843010082 @default.
• W4210363412 cites W2883028126 @default.
• W4210363412 cites W2920839885 @default.
• W4210363412 cites W2968374611 @default.
• W4210363412 cites W2969015605 @default.
• W4210363412 cites W3016125500 @default.
• W4210363412 cites W3016617669 @default.
• W4210363412 cites W3028484854 @default.
• W4210363412 cites W3042679316 @default.
• W4210363412 cites W3046201587 @default.
• W4210363412 cites W3082188176 @default.
• W4210363412 cites W3082513019 @default.
• W4210363412 cites W3107986792 @default.
• W4210363412 cites W4200456592 @default.
• W4210363412 cites W4302916394 @default.
• W4210363412 doi "https://doi.org/10.2196/34470" @default.
• W4210363412 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35416784" @default.
• W4210363412 hasPublicationYear "2022" @default.
• W4210363412 type Work @default.
• W4210363412 citedByCount "1" @default.
• W4210363412 countsByYear W42103634122023 @default.
• W4210363412 crossrefType "journal-article" @default.
• W4210363412 hasAuthorship W4210363412A5004159814 @default.
• W4210363412 hasAuthorship W4210363412A5009434042 @default.
• W4210363412 hasAuthorship W4210363412A5012111658 @default.
• W4210363412 hasAuthorship W4210363412A5018800355 @default.
• W4210363412 hasAuthorship W4210363412A5022102381 @default.
• W4210363412 hasAuthorship W4210363412A5022478684 @default.
• W4210363412 hasAuthorship W4210363412A5024302674 @default.
• W4210363412 hasAuthorship W4210363412A5024836608 @default.
• W4210363412 hasAuthorship W4210363412A5026060508 @default.
• W4210363412 hasAuthorship W4210363412A5032880706 @default.
• W4210363412 hasAuthorship W4210363412A5075388691 @default.
• W4210363412 hasAuthorship W4210363412A5076351586 @default.
• W4210363412 hasBestOaLocation W42103634121 @default.
• W4210363412 hasConcept C126322002 @default.
• W4210363412 hasConcept C142724271 @default.
• W4210363412 hasConcept C144024400 @default.
• W4210363412 hasConcept C159110408 @default.
• W4210363412 hasConcept C160735492 @default.
• W4210363412 hasConcept C162324750 @default.
• W4210363412 hasConcept C168563851 @default.
• W4210363412 hasConcept C204787440 @default.
• W4210363412 hasConcept C22467394 @default.
• W4210363412 hasConcept C2779951463 @default.
• W4210363412 hasConcept C2780385302 @default.

• next