Jan 24, 2014

Contributors to frequent telehealth alerts including false alerts for patients with heart failure: a mixed methods exploration

Applied Clinical Informatics
K RadhakrishnaA Zettek-Sumner

Abstract

Telehealth data overload through high alert generation is a significant barrier to sustained adoption of telehealth for managing HF patients. To explore the factors contributing to frequent telehealth alerts including false alerts for Medicare heart failure (HF) patients admitted to a home health agency. A 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. Subjects 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. Encouraging patient engagem...Continue Reading

  • References17
  • Citations5

References

  • References17
  • Citations5

Citations

Mentioned in this Paper

Electronic Health Records
Kidney Neoplasm
Objective (Goal)
Home Health Care Agencies
Vital Signs
False Positive Reactions
Comorbidity
Informal Care
Anxiety Disorders
Myocardial Failure

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