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Relationship Between Mobile Digital Sensor Monitoring and Perioperative Outcomes: Systematic Review

BACKGROUND: Monitoring surgical recovery has traditionally been confined to metrics measurable within the hospital and clinic setting. However, commercially available mobile sensors are now capable of extending measurements into a patient’s home. As these sensors were developed for nonmedical applic...

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Autores principales: Memon, Ali, Lec, Patrick, Lenis, Andrew, Sharma, Vidit, Wood, Erika, Schade, George, Brisbane, Wayne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7952235/
https://www.ncbi.nlm.nih.gov/pubmed/33629966
http://dx.doi.org/10.2196/21571
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author Memon, Ali
Lec, Patrick
Lenis, Andrew
Sharma, Vidit
Wood, Erika
Schade, George
Brisbane, Wayne
author_facet Memon, Ali
Lec, Patrick
Lenis, Andrew
Sharma, Vidit
Wood, Erika
Schade, George
Brisbane, Wayne
author_sort Memon, Ali
collection PubMed
description BACKGROUND: Monitoring surgical recovery has traditionally been confined to metrics measurable within the hospital and clinic setting. However, commercially available mobile sensors are now capable of extending measurements into a patient’s home. As these sensors were developed for nonmedical applications, their clinical role has yet to be established. The aim of this systematic review is to evaluate the relationship between data generated by mobile sensors and postoperative outcomes. OBJECTIVE: The objective of this study is to describe the current use of mobile sensors in the perioperative setting and the correlation between their data and clinical outcomes. METHODS: A systematic search of EMBASE, MEDLINE, and Cochrane Library from inception until April 2019 was performed to identify studies of surgical patients monitored with mobile sensors. Sensors were considered if they collected patient metrics such as step count, temperature, or heart rate. Studies were included if patients underwent major surgery (≥1 inpatient postoperative day), patients were monitored using mobile sensors in the perioperative period, and the study reported postoperative outcomes (ie, complications and hospital readmission). For studies including step count, a pooled analysis of the step count per postoperative day was calculated for the complication and noncomplication cohorts using mean and a random-effects linear model. The Grading of Recommendations, Assessment, Development, and Evaluation tool was used to assess study quality. RESULTS: From 2209 abstracts, we identified 11 studies for review. Reviewed studies consisted of either prospective observational cohorts (n=10) or randomized controlled trials (n=1). Activity monitors were the most widely used sensors (n=10), with an additional study measuring temperature, respiratory rate, and heart rate (n=1). Low step count was associated with worse postoperative outcomes. A median step count of around 1000 steps per postoperative day was associated with adverse surgical outcomes. Within the studies, there was heterogeneity between the type of surgery and type of reported postoperative outcome. CONCLUSIONS: Despite significant heterogeneity in the type of surgery and sensors, low step count was associated with worse postoperative outcomes across surgical specialties. Further studies and standardization are needed to assess the role of mobile sensors in postoperative care, but a threshold of approximately 1000 steps per postoperative day warrants further investigation.
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spelling pubmed-79522352021-03-17 Relationship Between Mobile Digital Sensor Monitoring and Perioperative Outcomes: Systematic Review Memon, Ali Lec, Patrick Lenis, Andrew Sharma, Vidit Wood, Erika Schade, George Brisbane, Wayne JMIR Perioper Med Review BACKGROUND: Monitoring surgical recovery has traditionally been confined to metrics measurable within the hospital and clinic setting. However, commercially available mobile sensors are now capable of extending measurements into a patient’s home. As these sensors were developed for nonmedical applications, their clinical role has yet to be established. The aim of this systematic review is to evaluate the relationship between data generated by mobile sensors and postoperative outcomes. OBJECTIVE: The objective of this study is to describe the current use of mobile sensors in the perioperative setting and the correlation between their data and clinical outcomes. METHODS: A systematic search of EMBASE, MEDLINE, and Cochrane Library from inception until April 2019 was performed to identify studies of surgical patients monitored with mobile sensors. Sensors were considered if they collected patient metrics such as step count, temperature, or heart rate. Studies were included if patients underwent major surgery (≥1 inpatient postoperative day), patients were monitored using mobile sensors in the perioperative period, and the study reported postoperative outcomes (ie, complications and hospital readmission). For studies including step count, a pooled analysis of the step count per postoperative day was calculated for the complication and noncomplication cohorts using mean and a random-effects linear model. The Grading of Recommendations, Assessment, Development, and Evaluation tool was used to assess study quality. RESULTS: From 2209 abstracts, we identified 11 studies for review. Reviewed studies consisted of either prospective observational cohorts (n=10) or randomized controlled trials (n=1). Activity monitors were the most widely used sensors (n=10), with an additional study measuring temperature, respiratory rate, and heart rate (n=1). Low step count was associated with worse postoperative outcomes. A median step count of around 1000 steps per postoperative day was associated with adverse surgical outcomes. Within the studies, there was heterogeneity between the type of surgery and type of reported postoperative outcome. CONCLUSIONS: Despite significant heterogeneity in the type of surgery and sensors, low step count was associated with worse postoperative outcomes across surgical specialties. Further studies and standardization are needed to assess the role of mobile sensors in postoperative care, but a threshold of approximately 1000 steps per postoperative day warrants further investigation. JMIR Publications 2021-02-25 /pmc/articles/PMC7952235/ /pubmed/33629966 http://dx.doi.org/10.2196/21571 Text en ©Ali Memon, Patrick Lec, Andrew Lenis, Vidit Sharma, Erika Wood, George Schade, Wayne Brisbane. Originally published in JMIR Perioperative Medicine (http://periop.jmir.org), 25.02.2021. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Perioperative Medicine, is properly cited. The complete bibliographic information, a link to the original publication on http://periop.jmir.org, as well as this copyright and license information must be included.
spellingShingle Review
Memon, Ali
Lec, Patrick
Lenis, Andrew
Sharma, Vidit
Wood, Erika
Schade, George
Brisbane, Wayne
Relationship Between Mobile Digital Sensor Monitoring and Perioperative Outcomes: Systematic Review
title Relationship Between Mobile Digital Sensor Monitoring and Perioperative Outcomes: Systematic Review
title_full Relationship Between Mobile Digital Sensor Monitoring and Perioperative Outcomes: Systematic Review
title_fullStr Relationship Between Mobile Digital Sensor Monitoring and Perioperative Outcomes: Systematic Review
title_full_unstemmed Relationship Between Mobile Digital Sensor Monitoring and Perioperative Outcomes: Systematic Review
title_short Relationship Between Mobile Digital Sensor Monitoring and Perioperative Outcomes: Systematic Review
title_sort relationship between mobile digital sensor monitoring and perioperative outcomes: systematic review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7952235/
https://www.ncbi.nlm.nih.gov/pubmed/33629966
http://dx.doi.org/10.2196/21571
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