Real-world Implementation of an eHealth System Based on Artificial Intelligence Designed to Predict and Reduce Emergency Department Visits by Older Adults: Pragmatic Trial.

BACKGROUND: Frail older people use emergency services extensively, and digital systems that monitor health remotely could be useful in reducing these visits by earlier detection of worsening health conditions. OBJECTIVE: We aimed to implement a system that produces alerts when the machine learning algorithm identifies a short-term risk for an emergency department (ED) visit and examine health interventions delivered after these alerts and users' experience. This study highlights the feasibility of the general system and its performance in reducing ED visits. It also evaluates the accuracy of alerts' prediction. METHODS: An uncontrolled multicenter trial was conducted in community-dwelling older adults receiving assistance from home aides (HAs). We implemented an eHealth system that produces an alert for a high risk of ED visits. After each home visit, the HAs completed a questionnaire on participants' functional status, using a smartphone app, and the information was processed in real time by a previously developed machine learning algorithm that identifies patients at risk of an ED visit within 14 days. In case of risk, the eHealth system alerted a coordinating nurse who could then inform the family carer and the patient's nurses or general practitioner. The primary outcomes were the rate of ED visits and the number of deaths after alert-triggered health interventions (ATHIs) and users' experience with the eHealth system; the secondary outcome was the accuracy of the eHealth system in predicting ED visits. RESULTS: We included 206 patients (mean age 85, SD 8 years; 161/206, 78% women) who received aid from 109 HAs, and the mean follow-up period was 10 months. The HAs monitored 2656 visits, which resulted in 405 alerts. Two ED visits were recorded following 131 alerts with an ATHI (2/131, 1.5%), whereas 36 ED visits were recorded following 274 alerts that did not result in an ATHI (36/274, 13.4%), corresponding to an odds ratio of 0.10 (95% IC 0.02-0.43; P<.001). Five patients died during the study. All had alerts, 4 did not have an ATHI and were hospitalized, and 1 had an ATHI (P=.04). In terms of overall usability, the digital system was easy to use for 90% (98/109) of HAs, and response time was acceptable for 89% (98/109) of them. CONCLUSIONS: The eHealth system has been successfully implemented, was appreciated by users, and produced relevant alerts. ATHIs were associated with a lower rate of ED visits, suggesting that the eHealth system might be effective in lowering the number of ED visits in this population. TRIAL REGISTRATION: clinicaltrials.gov NCT05221697; https://clinicaltrials.gov/ct2/show/NCT05221697.

Impact of care pathway for nursing home residents treated for cancer: ONCO-EHPAD study.

PURPOSE: Few data are known about cancer management in frail nursing home residents. METHODS: Objective of our prospective, interventional study was to set up in the Marseille area, a care pathway for nursing homes residents with a suspected cancer. It combined cancer diagnosis procedures and comprehensive geriatric assessment (CGA), both made in our geriatric oncology outpatient unit, before oncologic advice for treatment decision. In standard care, CGA is carried out after therapeutic decision, to determine whether the planned treatment is compatible with the patient's frailties. CGA and quality of life were performed at enrolment and at 6 months. This study was registered in ClinicalTrials.gov (NCT03103659). RESULTS: Between April 2017 and March 2020, 48 residents from 38 nursing homes were included: 24 had the care pathway (PP), and 24 the standard care (NPP). Six were excluded (no cancer). PP had more frailties than NPP. All PP and 75% of NPP had outpatient care. Curative treatment was given to 77% of NPP (including chemotherapy in 10 cases), and 25% of PP (surgery, radiotherapy, hormone therapy). A majority of PP (75%) had supportive care. At 6 months, 16 patients died (11 NPP, 5 PP). Quality of life evolution was available for 11 PP and 7NPP: it showed stability in PP and degradation in NPP. CONCLUSION: Even if part of residents were too frail to get curative treatment, the care pathway enabled them to benefit from oncologic advice and appropriate supportive care while preserving their quality of life. Further investigations are needed to confirm these findings.

[Nurse coordinator and doctor coordinator in a gerontology network]. / Infirmière coordinatrice et médecin coordonnateur dans un réseau gérontologique.

The Marseille gerontology network consists of a geriatric team providing support in patients' homes across the Marseille urban area. It forms an integral part of the geriatric care sector ensuring that elderly people living at home benefit from a global medical-psychological-social assessment. The aim is to enable elderly people to continue living and receiving care in their home.

[The partnership at the heart of care across a territory]. / Le partenariat au coeur des soins sur un territoire.

The coordinator nurse within a healthcare network plays a central role in the continuity of general practice/hospital care. The transfer of the information relating to the care and the care procedures themselves sometimes go beyond administrative borders and require proximity with the patient and reinforced partnerships between healthcare professionals for optimum care safety.