Long-term adherence to a wearable for continuous behavioural activity measuring in the SafeHeart implantable cardioverter defibrillator population

Author:

Frodi Diana My1ORCID,Kolk Maarten Z H2ORCID,Langford Joss34ORCID,Knops Reinoud2ORCID,Tan Hanno L25ORCID,Andersen Tariq Osman6ORCID,Jacobsen Peter Karl1ORCID,Risum Niels1ORCID,Svendsen Jesper Hastrup17ORCID,Tjong Fleur V Y2ORCID,Diederichsen Søren Zöga1ORCID

Affiliation:

1. Department of Cardiology, Copenhagen University Hospital—Rigshospitalet , Inge Lehmanns Vej 7, DK-2100 Copenhagen , Denmark

2. Department of Clinical and Experimental Cardiology, Amsterdam UMC, University of Amsterdam , Meibergdreef 9, 1105 AZ Amsterdam , The Netherlands

3. Activinsights Ltd , 6 Nene Road, Bicton Industrial Park, Kimbolton, Cambridgeshire, PE28 0LF , UK

4. College of Life and Environmental Sciences, University of Exeter , St Luke's Campus, Heavitree Road, Exeter, EX1 2LU , UK

5. Netherlands Heart Institute , Moreelsepark 1, 3511 EP Utrecht , The Netherlands

6. Department of Computer Science, University of Copenhagen , Universitetsparken 1, DK-2100 Copenhagen , Denmark

7. Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen , Blegdamsvej 3B, DK-2100 Copenhagen , Denmark

Abstract

Abstract Aims Wearable health technologies are increasingly popular. Yet, wearable monitoring only works when devices are worn as intended, and adherence reporting lacks standardization. In this study, we aimed to explore the long-term adherence to a wrist-worn activity tracker in the prospective SafeHeart study and identify patient characteristics associated with adherence. Methods and results This study enrolled 303 participants, instructed to wear a wrist-worn accelerometer day and night for 6 months. Long-term adherence was defined as valid days (≥22 h of wear time) divided by expected days, and daily adherence as mean hours of wear time per 24 h period. Optimal, moderate, and low long-term and daily adherence groups were defined as long-term adherence above or below 95 and 75% and daily adherence above or below 90 and 75%. Regression models were used to identify patient characteristics associated with long-term adherence. In total, 296 participants [median age 64 years; interquartile range (IQR) 57–72; 19% female] were found eligible, yielding 44 003 days for analysis. The median long-term adherence was 88.2% (IQR 74.6–96.5%). A total of 83 (28%), 127 (42.9%), and 86 (29.1%) participants had optimal, moderate, and low long-term adherence, and 163 (55.1%), 87 (29.4%), and 46 (15.5%) had optimal, moderate, and low daily adherence, respectively. Age and smoking habits differed significantly between adherence levels, and increasing changeover intervals improved the degree of long-term adherence. Conclusion Long-term adherence to a wearable activity tracker was 88.2% over a 6-month period. Older age and longer changeover interval were positively associated with long-term adherence. This serves as a benchmark for future studies that rely on wearable devices. Trial registration number The National Trial Registration number: NL9218 (https://onderzoekmetmensen.nl/).

Funder

European Union funding program for research and innovation

The Heart Center Research Fund

Copenhagen University Hospital—Rigshospitalet, Copenhagen, Denmark

Rigshospital Research Fund

Publisher

Oxford University Press (OUP)

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