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Evaluation of Remote Monitoring Device for Monitoring Vital Parameters against Reference Standard: A Diagnostic Validation Study for COVID-19 Preparedness.
Tayal, Mohit; Mukherjee, Anirudh; Chauhan, Udit; Uniyal, Madhur; Garg, Sakshi; Singh, Anjana; Bhadoria, Ajeet Singh; Kant, Ravi.
  • Tayal M; Division of Interventional Radiology, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India.
  • Mukherjee A; Department of General Medicine, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India.
  • Chauhan U; Division of Interventional Radiology, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India.
  • Uniyal M; Department of Trauma Surgery, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India.
  • Garg S; Department of Pathology, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India.
  • Singh A; All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India.
  • Bhadoria AS; Department of Community and Family Medicine, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India.
  • Kant R; Director and CEO, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India.
Indian J Community Med ; 45(2): 235-239, 2020.
Article in English | MEDLINE | ID: covidwho-609478
Semantic information from SemMedBD (by NLM)
1. Blood LOCATION_OF oxygen
Subject
Blood
Predicate
LOCATION_OF
Object
oxygen
2. Physiologic monitoring system USES intensive care unit
Subject
Physiologic monitoring system
Predicate
USES
Object
intensive care unit
3. Blood LOCATION_OF oxygen
Subject
Blood
Predicate
LOCATION_OF
Object
oxygen
4. Physiologic monitoring system USES intensive care unit
Subject
Physiologic monitoring system
Predicate
USES
Object
intensive care unit
ABSTRACT
CONTEXT Vital parameters including blood oxygen level, respiratory rate, pulse rate, and body temperature are crucial for triaging patients to appropriate medical care. Advances in remote health monitoring system and wearable health devices have created a new horizon for delivery of efficient health care from a distance. MATERIALS AND

METHODS:

This diagnostic validation study included patients attending the outpatient department of the institute. The accuracy of device under study was compared against the gold standard patient monitoring systems used in intensive care units. STATISTICAL

ANALYSIS:

The statistical analysis involved computation of intraclass correlation coefficient. Bland-Altman graphs with limits of agreement were plotted to assess agreement between methods. P <0.05 was considered statistically significant.

RESULTS:

A total of 200 patients, including 152 males and 48 females in the age range of 2-80 years, formed the study group. A strong correlation (intraclass correlation coefficient; r > 0.9) was noted between the two devices for all the investigated parameters with significant P value (<0.01). Bland-Altman plot drawn for each vital parameter revealed observations in agreement from both the devices.

CONCLUSION:

The wearable device can be reliably used for remote health monitoring. Its regulated use can help mitigate the scarcity of hospital beds and reduce exposure to health-care workers and demand of personal protection equipment.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study Language: English Journal: Indian J Community Med Year: 2020 Document Type: Article Affiliation country: Ijcm.IJCM_317_20

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study Language: English Journal: Indian J Community Med Year: 2020 Document Type: Article Affiliation country: Ijcm.IJCM_317_20