ArticleApplied clinical informatics2013
Contributors to frequent telehealth alerts including false alerts for patients with heart failure: a mixed methods exploration.
Article in Applied clinical informatics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Alert Reduction and Telemonitoring Process Optimization for Improving Efficiency in Remote Patient Monitoring Programs: Framework Development Study.JMIR medical informatics · 2025Article
- Toward alert triage: scalable qualitative coding framework for analyzing alert notes from the Telehealth Intervention Program for Seniors (TIPS).JAMIA open · 2023Article
- A Vital Signs Telemonitoring Programme Improves the Dynamic Prediction of Readmission Risk in Patients with Heart Failure.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2020Article
- Risk Factors for All-Cause Rehospitalization Among Medicare Recipients with Heart Failure Receiving Telehomecare.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2017Article
- Implementation of a Home Monitoring System for Heart Failure Patients: A Feasibility Study.JMIR research protocols · 2017Article
- From bed to bench: bridging from informatics practice to theory: an exploratory analysis.Applied clinical informatics · 2014Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTelehealth data overload through high alert generation is a significant barrier to sustained adoption of telehealth for managing HF patients.
objectiveTo explore the factors contributing to frequent telehealth alerts including false alerts for Medicare heart failure (HF) patients admitted to a home health agency. MATERIALS AND
methodsA mixed methods design that combined quantitative correlation analysis of patient characteristic data with number of telehealth alerts and qualitative analysis of telehealth and visiting nurses' notes on follow-up actions to patients' telehealth alerts was employed. All the quantitative and qualitative data was collected through retrospective review of electronic records of the home heath agency.
resultsSubjects in the study had a mean age of 83 (SD = 7.6); 56% were female. Patient co-morbidities (p<0.05) of renal disorders, anxiety, and cardiac arrhythmias emerged as predictors of telehealth alerts through quantitative analysis (n = 168) using multiple regression. Inappropriate telehealth measurement technique by patients (54%) and home healthcare system inefficiencies (37%) contributed to most telehealth false alerts in the purposive qualitative sub-sample (n = 35) of patients with high telehealth alerts.
conclusionEncouraging patient engagement with the telehealth process, fostering a collaborative approach among all the clinicians involved with the telehealth intervention, tailoring telehealth alert thresholds to patient characteristics along with establishing patient-centered telehealth outcome goals may allow meaningful generation of telehealth alerts. Reducing avoidable telehealth alerts could vastly improve the efficiency and sustainability of telehealth programs for HF management.
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