Monitoring postoperative ambulation and sleep after head and neck surgery: A feasibility and utility study using wearable devices

The utility of wearable devices in the perioperative period

PURPOSE OF REVIEW

Improved perioperative patient monitoring is a crucial step toward better predicting postoperative outcomes. Wearable devices capable of measuring various health-related metrics represent a novel tool that can assist healthcare providers. However, the literature surrounding wearables is wide-ranging, preventing clinicians from drawing definitive conclusions regarding their utility. This review intends to consolidate the recent literature on perioperative wearables and summarize the most salient information.

RECENT FINDINGS

Wearable devices measuring cardiac output and colonic motility have recently been piloted with mixed results. Novel measurement techniques for established metrics have also been studied, including photoplethysmography devices for heart rate and blood pressure along with resistance thermometers for temperature. Nuanced methods of synthesizing data have been piloted, including machine-learning algorithms for predicting adverse events and trajectory curves for step count progression. Wearable devices are generally well accepted, although adjuvant support systems have improved patient satisfaction.

SUMMARY

Perioperative wearables are valuable tools for tracking postoperative health metrics, predicting adverse events, and improving patient satisfaction. Future research on removing barriers such as technological illiteracy, artifact generation, and false-positive alarms would enable better integration of wearables into the hospital setting.

Postoperative Implementation of Virtual Reality and Wearable Devices: Opportunities and Challenges

OBJECTIVE

To examine implementation of virtual reality (VR) and Fitbit wearable activity devices in postoperative recovery.

METHODS

This was a prospective, 4-arm, randomized controlled trial of patients undergoing inpatient head and neck surgery at a tertiary academic center from November 2021 to July 2022. Patients were randomized to Control, VR, Fitbit, or combined VR + Fitbit groups. Patients in the VR groups were brought VR headsets to use throughout each day, and patients in the Fitbit groups wore Fitbit devices and were encouraged to achieve 2,000 daily steps. The primary outcome was average daily opioid use, measured as milligram morphine equivalents (MME).

RESULTS

There were 80 patients included. The majority of patients were male (68.8%), and mean age was 58.8 ± 14.4 years. Only the combined VR + Fitbit cohort was associated with reduced average daily opioid use (VR + Fitbit: 8.8 [20.6] MME vs. Control: 26.4 [37.4] MME, p = 0.02). Patients in intervention groups also had higher hospital satisfaction (p = 0.02). VR was utilized 26% of the time it was provided, with mean use time of 23.8 ± 7.8 min. Mean post-VR subjective pain reduction was 1.0 ± 1.3, and there were three mild adverse events of neck or nasal discomfort. Among the Fitbit groups, there were no adverse events and daily step counts ≥2,000 steps were achieved 45% of the time.

CONCLUSION

Implementation of VR and wearable activity devices in postoperative recovery appears well tolerated and may facilitate further development of Enhanced Recovery After Surgery (ERAS) protocols, though there are challenges to maximizing device usage.

LEVEL OF EVIDENCE

II. Laryngoscope, 2025.

Patterns of virtual reality and Fitbit wearable activity device use after skull base surgery

KEY POINTS

Virtual reality (VR) and Fitbit devices are well tolerated by patients after skull base surgery. Postoperative recovery protocols may benefit from incorporation of these devices. However, challenges including patient compliance may impact optimal device utilization.

Digital Phenotyping, Wearables, and Outcomes

There is a significant need for robust and objective outcome assessments in spine surgery. Constant monitoring via smartphones and wearable devices has the potential to fill this role by providing an in-depth picture of human well-being, creating an unprecedented amount of objective data to augment clinical decision-making. The metrics obtained from continuous patient monitoring increase the amount and ecological validity of data relevant to spine surgery. This can provide physicians with patient and disease-specific medical information, facilitating personalized patient care.

Can we let our patients sleep in the hospital? A randomized controlled trial of a pragmatic sleep protocol in surgical oncology patients

BACKGROUND

Postoperative inpatients experience increased stress due to pain and poor restorative sleep than non-surgical inpatients.

OBJECTIVES AND METHODS

A total of 101 patients, undergoing major oncologic surgery, were randomized to a postoperative sleep protocol (n = 50) or standard postoperative care (n = 51), between August 2020 and November 2021. The primary endpoint of the study was postoperative sleep time after major oncologic surgery. Sleep time and steps were measured using a Fitbit Charge 4®.

RESULTS

There was no statistically significant difference found in postoperative sleep time between the sleep protocol and standard group (median sleep time of 427 min vs. 402 min; p = 0.852, respectively). Major complication rates were similar in both groups (7.4% vs. 8.9%). Multivariate analysis found sex and Charlson Comorbidity Index to be significant factors affecting postoperative sleep time and step count. Postoperative delirium was only observed in the standard group, although this did not reach statistical significance. There were no in hospital mortalities.

CONCLUSION

The use of a sleep protocol was found to be safe in our study population. There was no statistical difference in postoperative sleep time or major complications. Institution of a more humane sleep protocol for postoperative inpatients should be considered.

Readiness for implementation of novel digital health interventions for postoperative monitoring: a systematic review and clinical innovation network analysis

An increasing number of digital health interventions (DHIs) for remote postoperative monitoring have been developed and evaluated. This systematic review identifies DHIs for postoperative monitoring and evaluates their readiness for implementation into routine health care. Studies were defined according to idea, development, exploration, assessment, and long-term follow-up (IDEAL) stages of innovation. A novel clinical innovation network analysis used coauthorship and citations to examine collaboration and progression within the field. 126 DHIs were identified, with 101 (80%) being early stage innovations (IDEAL stage 1 and 2a). None of the DHIs identified had large-scale routine implementation. There is little evidence of collaboration, and there are clear omissions in the evaluation of feasibility, accessibility, and the health-care impact. Use of DHIs for postoperative monitoring remains at an early stage of innovation, with promising but generally low-quality supporting evidence. Comprehensive evaluation within high-quality, large-scale trials and real-world data are required to definitively establish readiness for routine implementation.