Differences in management of telemedicine alerts on weekdays and public holidays: Results from the OptiLink heart failure trial

JOURNAL OF TELEMEDICINE AND TELECARE(2024)

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摘要
Background In the OptiLink heart failure study, timely and appropriate reactions to telemedicine alerts improved clinical outcomes in heart failure patients. This analysis investigates the relation between the weekday of alert transmission and the subsequent patient contact. Methods In patients enrolled in the intervention arm of the OptiLink heart failure study (n = 505, age 66.1 +/- 10.1, 77.2% male, left-ventricular ejection fraction 26.7% +/- 6.1%), fluid index threshold crossing alerts were analysed according to the weekday of the transmission. Transmissions on Mondays-Thursdays were categorized as TD1, Fridays-Sundays as well as public holidays as TD2. Results Of 1365 transmitted alerts, 867 (63.5%) were categorized as TD1 and 498 (36.5%) as TD2. Same day telephone contacts were more frequent in TD1 (46.2%) than in TD2 (18.3%; p < 0.001). Accordingly, the median time to contact was significantly longer in TD2 compared with TD1 (2(1-3) vs 0(0-1) days; p < 0.001). Rates of no telephone contact were no different between the groups (12.1% vs 12.4%; p = 0.866). Although signs of worsening heart failure were prevalent in 32.4% in TD1 versus 32.1% in TD2 (p = 0.996), initiation of a pharmacological intervention occurred more likely in TD1 compared with TD2 (27.9% vs 22.9%; p = 0.041). No differences existed concerning hospitalization for heart failure within 30 days after alert transmission (3.9% vs 3.4%; p = 0.636). Conclusion Alert transmissions during weekends and public holidays were less likely associated with timely patient contacts and initiation of pharmacological interventions than during the week. Telemedical centres providing 24/7 remote monitoring service and specific education programmes for physicians might help to optimize patient care.
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关键词
Remote monitoring,implantable cardioverter-defibrillator,heart failure,telemedicine,telehealth
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