Ingestible Biosensors for Real-Time Medical Adherence Monitoring: MyTMed

Chai, Peter R.; Rosen, Rochelle K.; Boyer, Edward W.

doi:10.1109/hicss.2016.426

Cited by 33 publications

(30 citation statements)

References 31 publications

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“…From another point of view, non-adherence refers to the failure of taking medication as prescribed, including in-consistency, missing doses, and failing to re-fill the medication. Nonetheless, studies showed that failure to meet the medication-intake regime can result in emergence of drug resistance, accelerated progression of disease, many irrevocable health complications [23,24], and increased mortalities [25].…”

Section: Medication Adherencementioning

confidence: 99%

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A Review of Medication Adherence Monitoring Technologies

Aldeer

Javanmard

Martin

2018

ASI

113

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Medication non-adherence is a prevalent, complex problem. Failure to follow medication schedules may lead to major health complications, including death. Proper medication adherence is thus required in order to gain the greatest possible drug benefit during a patient's treatment. Interventions have been proven to improve medication adherence if deviations are detected. This review focuses on recent advances in the field of technology-based medication adherence approaches and pays particular attention to their technical monitoring aspects. The taxonomy space of this review spans multiple techniques including sensor systems, proximity sensing, vision systems, and combinations of these. As each technique has unique advantages and limitations, this work describes their trade-offs in accuracy, energy consumption, acceptability and user's comfort, and user authentication.

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Section: Medication Adherencementioning

confidence: 99%

“…MyTMed is another system for medication adherence monitoring that is based on ingestible biosensors [24,126]. The central part of MyTMed is the digital capsule that can encapsulate oral medication.…”

Section: Ingestible Biosensorsmentioning

confidence: 99%

A Review of Medication Adherence Monitoring Technologies

Aldeer

Javanmard

Martin

2018

ASI

113

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“…Also, ingestible biosensors have been used to detect pill ingestion by patients to track medication adherence [15,16]. Currently, the use of ingestible biosensors has proved to be the most accurate, however, many patients will not find it convenient to ingest a biosensor so that they can be tracked to determine if they have taken their medication or not [3,15,17]. Proximity-based systems are non-invasive systems that detect medication presence or absence within the proximity of a reader's antenna by using computer vision technology.…”

Section: Literature Reviewmentioning

confidence: 99%

A Multistakeholder-Centric Data Analytics Governance Framework for Medication Adherence and Improvement in Rural Settings

Daramola¹,

Nyasulu²

2020

Lecture Notes in Computer Science

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Good medication adherence is directly proportional to good health recovery and general improvement of a patient's health condition. Although many good medication adherence monitoring methods/techniques exist, the level of medication adherence for some chronic diseases by patients in rural settings is still suboptimal. Hence, the need for healthcare organisations to devise viable governance frameworks that will facilitate effective medication adherence monitoring and improved adherence by patients. This paper presents the conceptual overview of a governance framework for medication adherence monitoring and improvement that enables the collaboration of multiple stakeholders and data analytics (MUCODAF) in support of the patient in the treatment journey. The framework allows relevant stakeholders such as Healthcare workers (HCW), family members, and close friends to collaborate in support of a patient through the engagement of critical human factors such as empathy, motivation, encouragement, flexibility, and negotiation. The use cases of the framework, its technical composition, and the implementation plan are discussed in this paper. A concrete example of the application of the governance framework for medication adherence monitoring and improvement for a Tuberculosis patient in the African Country of Lesotho is presented to highlight the plausibility of the framework.

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“…12–17 Iterative improvements in data transmission and signal strength have made digital pills feasible and acceptable to pateints. 13 Formative data on the use of digital pills have demonstrated the ability to detect ingestion of antidiabetic agents, antipsychotics, and antituberculosis medications.…”

Section: Introductionmentioning

confidence: 99%

Oxycodone Ingestion Patterns in Acute Fracture Pain With Digital Pills

Chai

Carreiro

Innes

et al. 2017

Anesthesia &Amp; Analgesia

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BACKGROUND Opioid analgesics are commonly prescribed on an as needed (PRN) basis for acute painful conditions. Uncertainty of how patients actually take PRN opioids, coupled with a desire to completely cover pain, leads to variable and overly generous opioid prescribing practices, resulting in a surplus of opioids. This opioid surplus becomes a source for diversion and nonmedical opioid use. Understanding patterns of actual opioid ingestion after acute painful conditions can help clinicians counsel patients on safe opioid use, and allow timely recognition and intervention when escalating opioid self-dosing occurs, to prevent tolerance and addiction. METHODS We used a novel oxycodone digital pill system (ingestible biosensor within a standard gelatin capsule combined with 5mg oxycodone) that when ingested, is activated by the chloride ion gradient in the stomach thereby emitting a radiofrequency signal captured by a wearable Reader. The Reader relays ingestion data to a cloud-based server that displays ingestion events to the study team. We deployed the oxycodone digital pill among opioid naïve individuals discharged from the emergency department (ED) with acute fracture pain. Participants were trained on digital pill operation and discharged with 21 5mg oxycodone digital pills. They were instructed to take digital pills PRN for pain upon discharge. We conducted a brief interview 7 days after study enrollment, at which point participants returned the digital pill system. We identified oxycodone ingestion events in real time by data from the digital pill system, and performed pill counts at return visit to validate digital pill reporting of medication ingestion. RESULTS In this study, 26 individuals were approached; 16 enrolled with 15 completing the study. Participants ingested a median of 6 (3–9.5) oxycodone digital pills over the course of 7 days, with 82% of the oxycodone dose ingested in the first 3 days. In individuals who required operative repair, 86% (N=6) continued to ingest opioids at 1 week. There was substantial variability in ingestion patterns between individuals. CONCLUSIONS The utilization patterns of individuals with acute fracture pain could be captured using a digital pill system and revealed a median opioid ingestion of 45mg morphine equivalents for acute pain over 7 days. Seven participants ceased using opioids within 4 days following discharge from the emergency department, although operative repair was associated with longer use. This digital pill system was able to measure changes in and patterns of opioid self-dosing, which varied between patients.

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Ingestible Biosensors for Real-Time Medical Adherence Monitoring: MyTMed

Cited by 33 publications

References 31 publications

A Review of Medication Adherence Monitoring Technologies

A Review of Medication Adherence Monitoring Technologies

A Multistakeholder-Centric Data Analytics Governance Framework for Medication Adherence and Improvement in Rural Settings

Oxycodone Ingestion Patterns in Acute Fracture Pain With Digital Pills

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