Actigraphy assessment of sleep quality among patients with acute myeloid leukaemia during induction chemotherapy

Yang, Chi‐Fu Jeffrey; Aibel, Kelli; Meyerhoff, R.R.; Wang, Frances; Harpole, David H.; Abernethy, Amy Pickar; LeBlanc, Thomas W.

doi:10.1136/bmjspcare-2018-001509

Cited by 9 publications

(7 citation statements)

References 15 publications

(12 reference statements)

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“…Only four studies conducted personal interviews to analyze participants’ adherence to WDs and their study experiences [ 21 , 33 , 40 , 57 ]. Furthermore, 10 studies evaluated the correlation between the outcomes of WDs and questionnaires to validate the effectiveness of using WDs in patients with cancer [ 27 , 31 , 34 , 36 , 37 , 48 , 49 , 52 , 54 , 56 ]. Only two studies used an e-diary and a physical diary along with a WD to track the health status of the participants [ 31 , 36 ].…”

Section: Resultsmentioning

confidence: 99%

“…The average adherence percentage was calculated for each segment. The intervention-based segments included studies with weeks 1 [ 48 , 49 ], 2 [ 27 , 55 ], 3 [ 50 , 52 , 57 ], 4 [ 36 , 37 , 53 ], 7 [ 28 ], 8 [ 32 , 33 , 34 ], 10 [ 24 , 30 , 41 ], 12 [ 20 , 21 , 23 , 25 , 26 , 38 , 39 , 40 , 42 , 43 , 44 , 45 , 46 , 47 , 54 , 56 ], 17 [ 29 ], 24 [ 22 , 31 ] and 43 [ 35 ]. In the graph, (1.84) indicates the studies grouped in this segment that had a one-week intervention with an average adherence of 84%.…”

Section: Resultsmentioning

confidence: 99%

“…In the graph, (1.84) indicates the studies grouped in this segment that had a one-week intervention with an average adherence of 84%. According to our analysis, 16 out of 38 studies used a 12-week intervention period with an average adherence of 86% ( Figure 2 ) [ 20 , 21 , 23 , 25 , 26 , 38 , 39 , 40 , 42 , 43 , 44 , 45 , 46 , 47 , 54 , 56 ]. The follow-up periods in the reported studies were calculated by subtracting the intervention duration from the total study duration.…”

Section: Resultsmentioning

confidence: 99%

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A Scoping Review to Assess Adherence to and Clinical Outcomes of Wearable Devices in the Cancer Population

Huang

Upadhyay

Dhar

et al. 2022

Cancers

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The use of wearable devices (WDs) in healthcare monitoring and management has attracted increasing attention. A major problem is patients’ adherence and acceptance of WDs given that they are already experiencing a disease burden and treatment side effects. This scoping review explored the use of wrist-worn devices in the cancer population, with a special focus on adherence and clinical outcomes. Relevant articles focusing on the use of WDs in cancer care management were retrieved from PubMed, Scopus, and Embase from 1 January 2017 to 3 March 2022. Studies were independently screened and relevant information was extracted. We identified 752 studies, of which 38 met our inclusion criteria. Studies focused on mixed, breast, colorectal, lung, gastric, urothelial, skin, liver, and blood cancers. Adherence to WDs varied from 60% to 100%. The highest adherence was reported in the 12-week studies. Most studies focused on physical activity, sleep analysis, and heart vital signs. Of the 10 studies that described patient-reported outcomes using questionnaires and personal interviews, 8 indicated a positive correlation between the patient-reported and wearable outcomes. The definitions of the outcome measures and adherence varied across the studies. A better understanding of the intervention standards in terms of the clinical outcomes could improve adherence to wearables.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

A Scoping Review to Assess Adherence to and Clinical Outcomes of Wearable Devices in the Cancer Population

Huang

Upadhyay

Dhar

et al. 2022

Cancers

View full text Add to dashboard Cite

show abstract

“…After applying our inclusion and exclusion criteria, 15 articles that described 14 studies were selected for this review (Figure 1). All of the articles included were prospective cohort studies (Table 2) [4,11,13,14,20,[29][30][31][32][33][34][35][36][37][38]. Overall, 9 different types of commercial wearables were described across the 14 studies, and 7 different health variables were assessed collectively by the 14 studies (Table 3).…”

Section: Characteristics Of Included Studiesmentioning

confidence: 99%

“…The rapid uptake of affordable wearables, such as fitness bands, may provide a method for continuously measuring sleep; activity; and vital signs, such as heart rate [12][13][14][15]. However, existing literature that describes wearable devices is mostly limited to ambulatory settings and focuses on the management of chronic diseases [16,17].…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Validity and Utility of Wearable Technology for Continuously Monitoring Patients in a Hospital Setting: Systematic Review

Patel¹,

Orchanian‐Cheff²,

Wu³

2021

JMIR Mhealth Uhealth

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Background The term posthospital syndrome has been used to describe the condition in which older patients are transiently frail after hospitalization and have a high chance of readmission. Since low activity and poor sleep during hospital stay may contribute to posthospital syndrome, the continuous monitoring of such parameters by using affordable wearables may help to reduce the prevalence of this syndrome. Although there have been systematic reviews of wearables for physical activity monitoring in hospital settings, there are limited data on the use of wearables for measuring other health variables in hospitalized patients. Objective This systematic review aimed to evaluate the validity and utility of wearable devices for monitoring hospitalized patients. Methods This review involved a comprehensive search of 7 databases and included articles that met the following criteria: inpatients must be aged >18 years, the wearable devices studied in the articles must be used to continuously monitor patients, and wearables should monitor biomarkers other than solely physical activity (ie, heart rate, respiratory rate, blood pressure, etc). Only English-language studies were included. From each study, we extracted basic demographic information along with the characteristics of the intervention. We assessed the risk of bias for studies that validated their wearable readings by using a modification of the Consensus-Based Standards for the Selection of Health Status Measurement Instruments. Results Of the 2012 articles that were screened, 14 studies met the selection criteria. All included articles were observational in design. In total, 9 different commercial wearables for various body locations were examined in this review. The devices collectively measured 7 different health parameters across all studies (heart rate, sleep duration, respiratory rate, oxygen saturation, skin temperature, blood pressure, and fall risk). Only 6 studies validated their results against a reference device or standard. There was a considerable risk of bias in these studies due to the low number of patients in most of the studies (4/6, 67%). Many studies that validated their results found that certain variables were inaccurate and had wide limits of agreement. Heart rate and sleep were the parameters with the most evidence for being valid for in-hospital monitoring. Overall, the mean patient completion rate across all 14 studies was >90%. Conclusions The included studies suggested that wearable devices show promise for monitoring the heart rate and sleep of patients in hospitals. Many devices were not validated in inpatient settings, and the readings from most of the devices that were validated in such settings had wide limits of agreement when compared to gold standards. Even some medical-grade devices were found to perform poorly in inpatient settings. Further research is needed to determine the accuracy of hospitalized patients’ digital biomarker readings and eventually determine whether these wearable devices improve health outcomes.

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Effect of cancer treatment on sleep quality in cancer patients: A systematic review and meta-analysis of Pittsburgh Sleep Quality Index

Divani

Heidari

Ghavampour

et al. 2022

Support Care Cancer

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Actigraphy assessment of sleep quality among patients with acute myeloid leukaemia during induction chemotherapy

Cited by 9 publications

References 15 publications

A Scoping Review to Assess Adherence to and Clinical Outcomes of Wearable Devices in the Cancer Population

A Scoping Review to Assess Adherence to and Clinical Outcomes of Wearable Devices in the Cancer Population

Evaluating the Validity and Utility of Wearable Technology for Continuously Monitoring Patients in a Hospital Setting: Systematic Review

Effect of cancer treatment on sleep quality in cancer patients: A systematic review and meta-analysis of Pittsburgh Sleep Quality Index

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