scholarly journals Voice Assistant Reminders and the Latency of Scheduled Medication Use in Older Adults With Pain: Descriptive Feasibility Study (Preprint)

2020 ◽  
Author(s):  
Marcia Shade ◽  
Kyle Rector ◽  
Kevin Kupzyk
Keyword(s):  
Older Adults ◽  
Medication Adherence ◽  
Monitoring System ◽  
Feasibility Study ◽  
Medication Use ◽  
Medication Event Monitoring System ◽  
Event Monitoring ◽  
Pain Medications ◽  
Absolute Latency ◽  
The Absolute

BACKGROUND Pain is difficult to manage in older adults. It has been recommended that pain management in older adults should include both nonpharmacologic and pharmacologic strategies. Unfortunately, nonadherence to pain medication is more prevalent than nonadherence to any other chronic disease treatment. Technology-based reminders have some benefit for medication adherence, but adherence behavior outcomes have mostly been verified by self-reports. OBJECTIVE We aimed to describe objective medication adherence and the latency of medication use after a voice assistant reminder prompted participants to take pain medications for chronic pain. METHODS A total of 15 older adults created a voice assistant reminder for taking scheduled pain medications. A subsample of 5 participants were randomly selected to participate in a feasibility study, in which a medication event monitoring system for pain medications was used to validate medication adherence as a health outcome. Data on the subsample’s self-assessed pain intensity, pain interference, concerns and necessity beliefs about pain medications, self-confidence in managing pain, and medication implementation adherence were analyzed. RESULTS In the 5 participants who used the medication event monitoring system, the overall latency between voice assistant reminder deployment and the medication event (ie, medication bottle cap opening) was 55 minutes. The absolute latency (before or after the reminder) varied among the participants. The shortest average time taken to open the cap after the reminder was 17 minutes, and the longest was 4.5 hours. Of the 168 voice assistant reminders for scheduled pain medications, 25 (14.6%) resulted in the opening of MEMS caps within 5 minutes of the reminder, and 107 (63.7%) resulted in the opening of MEMS caps within 30 minutes of the reminder. CONCLUSIONS Voice assistant reminders may help cue patients to take scheduled medications, but the timing of medication use may vary. The timing of medication use may influence treatment effectiveness. Tracking the absolute latency time of medication use may be a helpful method for assessing medication adherence. Medication event monitoring may provide additional insight into medication implementation adherence during the implementation of mobile health interventions.

Time Variability of Pain Medication Adherence: An Observational Study (Preprint)

2020 ◽  
Author(s):  
Marcia Shade ◽  
Kyle Rector ◽  
Kevin Kupzyk
Keyword(s):  
Older Adults ◽  
Medication Adherence ◽  
Monitoring System ◽  
Self Efficacy ◽  
Medication Use ◽  
Pain Medication ◽  
Medication Event Monitoring System ◽  
Pain Severity ◽  
Event Monitoring ◽  
Pain Medications

BACKGROUND Pain is difficult to manage in older adults. Pain management in older adults has been recommended to include both nonpharmacologic and pharmacologic strategies. Unfortunately, nonadherence to pain medication is more prevalent than any other chronic disease treatment. Technology-based reminders have some benefit for medication adherence but is biased because behavior has been verified by self-report. OBJECTIVE The purpose of this study was to describe objective medication adherence and latency of medication use in a subsample of older adults that used a voice assistant reminder to take scheduled pain medications. METHODS This observational feasibility study was conducted in the homes of community-dwelling older adults. Of the 15 older adults using voice assistant reminders for pain medications, we randomly selected a subsample of participants to use a medication event monitoring system to observe medication adherence. We collected demographics, self-reported health history, and pain medication name, dose, and dose frequency. Baseline data were collected on pain severity and interference using the Brief Pain Inventory-SF; concern and necessity beliefs about pain medications using the Beliefs About Medicines Questionnaire; self-confidence in managing pain with the PROMIS Self-Efficacy for Managing Symptoms and medication adherence with a Medication Event Monitoring System. RESULTS Participants used pain medications to alleviate pain severity ranging from moderate to severe. Each participant had varying beliefs about pain medicines and self-efficacy in managing pain symptoms. Overall latency was 55 minutes. The absolute latency (before or after reminder) varied among the participants; the shortest average time was 17 minutes and the longest was 4.5 hours. Our results found that 15% of the pain medications were taken within 5 minutes over 60% were taken within 30 minutes. CONCLUSIONS Voice assistant reminders may help cue patients to take medications, but the timing of use may vary. It may be helpful to monitor the absolute timing of scheduled medication use as a part of medication adherence behaviors in older adults especially when frequent dosing is prescribed. CLINICALTRIAL Adherence, Pain Medications, Older Adults, Reminders, mHealth, Voice Assistants

scholarly journals VERIFICATION OF PAIN MEDICATION ADHERENCE IN OLDER ADULTS USING INTERACTIVE VOICE REMINDERS

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S926-S926
Author(s):  
Marcia Shade ◽  
Kyle Rector ◽  
Kevin Kupzyk
Keyword(s):  
Older Adults ◽  
Medication Adherence ◽  
Pain Medication ◽  
Descriptive Statistics ◽  
Pain Severity ◽  
Monitoring Systems ◽  
Adherence Behavior ◽  
Event Monitoring ◽  
Pain Diary ◽  
Pain Medications

Abstract Adherence to analgesics needs to be monitored to ensure optimal pain management and avert adverse events among older adults. mHealth reminders may encourage adherence behavior, but it is unclear if medication use ensues following the reminder. The purpose of this study was to trial the use of medication event monitoring to verify the initiation of scheduled pain medication after an mHealth reminder. Methods: N=15 adults 55 and older created Google Assistant reminders to take their scheduled pain medication and write in a pain diary. A sub sample of n= 5 participants used a Medication Event Monitoring System Cap with their scheduled pain medications over 4 weeks. Data were collected on demographics, pain severity, and medication adherence. Descriptive statistics were performed. Results: Five women with ages ranging from 56-80 years, reported pain in multiple body locations. Pain severity on average was rated at 4 and at its worst 7; with pain relief ranging from 50-90%. Adherence percentages ranged from 82% to 100%. The overall latency was M = 55 min, SD = 100 min. The average latencies varied among the 5 participants; the shortest average time was 17 minutes and the longest average time was 4.5 hours. Only 15% of pain medications were taken within 5 minutes and 64% within 30 minutes of the interactive voice assistant reminder. Conclusions: It is important to ensure a behavioral intervention promotes the desired outcome. Medication event monitoring systems may help to identify non adherent behaviors when using mHealth interventions to promote pain medication adherence.

scholarly journals Self-reported versus ‘true’ adherence in heart failure patients: a study using the Medication Event Monitoring System

2012 ◽  
Vol 20 (7-8) ◽  
pp. 313-319 ◽  
Author(s):  
M. M. W. Nieuwenhuis ◽  
T. Jaarsma ◽  
D. J. van Veldhuisen ◽  
M. H. L. van der Wal
Keyword(s):  
Heart Failure ◽  
Monitoring System ◽  
Medication Event Monitoring System ◽  
Event Monitoring ◽  
Heart Failure Patients

scholarly journals ANALISIS FEASIBILITAS MEDICATION EVENT MONITORING SYSTEM CAP DALAM PENINGKATAN KEPATUHAN MINUM OBAT PADA ORANG DENGAN SKIZOFRENIA : A LITERATURE REVIEW

2020 ◽  
Vol 6 (2) ◽  
pp. 1-8
Author(s):  
Alfunnafi Alfunnafi ◽  
Fahrul Rizzal Rizzal
Keyword(s):  
Literature Review ◽  
Monitoring System ◽  
Systematic Literature Review ◽  
Medication Event Monitoring System ◽  
Event Monitoring

Pendahuluan: Pengobatan orang dengan skizofrenia memerlukan jangka waktu pengobatan yang panjang, meliputi terapi farmakologi maupun terapi psikososial. Kondisi ini memicu potensi terjadinya putus obat yang berakibat kekambuhan orang dengan skizofrenia. Berbagai upaya dilakukan untuk meningkatkan kepatuhan salah satunya dengan menggunakan teknologi. Salah satu inovasi teknologi tersebut adalah metode pengawasan kepatuhan menggunakan MEMS® cap. Alat ini digunakan untuk melakukan pengawasan kepatuhan minum obat secara elektronik.  Metode: Metode penulisan menggunakan non systematic literature review.  Hasil: MEMS® cap terbukti efektif digunakan di berbagai negara seperti di Eropa, Amerika, dan Asia dalam menjalankan fungsinya dalam pengawasan kepatuhan pengobatan klien skizofrenia.  Kesimpulan: Teknologi (MEMS®) cap merupakan solusi dalam meningkatkan upaya kepatuhan minum obat pada orang dengan skizofrenia dan memudahkan tenaga kesehatan dalam mengawasi penggunaan obat yang dianjurkan. Teknologi ini memberikan kemudahan dengan menyediakan layanan penentuan dosis obat, waktu pengobatan, dan alarm pengingat.

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