Systematic review: Wearable remote monitoring to detect nonalcohol/nonnicotine‐related substance use disorder symptoms
Systematic review: Wearable remote monitoring to detect nonalcohol/nonnicotine‐related substance use disorder symptoms
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系统评价：可穿戴式远程监控检测非酒精/非尼古丁相关物质使用障碍症状
DOI：
10.1111/ajad.13341
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发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Dana) Gerberi, Danielle J.
中科院分区：
文献类型：
--
作者：
Oesterle, Tyler S.;Karpyak, Victor M.;Coombes, Brandon J.;Athreya, Arjun P.;Breitinger, Scott A.;Correa da Costa, Sabrina;Dana) Gerberi, Danielle J.
Background and ObjectivesSubstance use disorders (SUDs) are chronic relapsing diseases characterized by significant morbidity and mortality. Phenomenologically, patients with SUDs present with a repeating cycle of intoxication, withdrawal, and craving, significantly impacting their diagnosis and treatment. There is a need for better identification and monitoring of these disease states. Remote monitoring chronic illness with wearable devices offers a passive, unobtrusive, constant physiological data assessment. We evaluate the current evidence base for remote monitoring of nonalcohol, nonnicotine SUDs.MethodsWe performed a systematic, comprehensive literature review and screened 1942 papers.ResultsWe found 15 studies that focused mainly on the intoxication stage of SUD. These studies used wearable sensors measuring several physiological parameters (ECG, HR, O2, Accelerometer, EDA, temperature) and implemented study‐specific algorithms to evaluate the data.Discussion and ConclusionsStudies were extracted, organized, and analyzed based on the three SUD disease states. The sample sizes were relatively small, focused primarily on the intoxication stage, had low monitoring compliance, and required significant computational power preventing “real‐time” results. Cardiovascular data was the most consistently valuable data in the predictive algorithms. This review demonstrates that there is currently insufficient evidence to support remote monitoring of SUDs through wearable devices.Scientific SignificanceThis is the first systematic review to show the available data on wearable remote monitoring of SUD symptoms in each stage of the disease cycle. This clinically relevant approach demonstrates what we know and do not know about the remote monitoring of SUDs within disease states.
