scholarly journals A scoping review of studies comparing the medication event monitoring system (MEMS) with alternative methods for measuring medication adherence

2016 ◽  
Vol 82 (1) ◽  
pp. 268-279 ◽  
Author(s):  
Mohamed El Alili ◽  
Bernard Vrijens ◽  
Jenny Demonceau ◽  
Silvia M. Evers ◽  
Mickael Hiligsmann
2020 ◽  
Author(s):  
Marcia Shade ◽  
Kyle Rector ◽  
Kevin Kupzyk

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.


2020 ◽  
Author(s):  
Marcia Shade ◽  
Kyle Rector ◽  
Kevin Kupzyk

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


Author(s):  
Alfunnafi Alfunnafi ◽  
Fahrul Rizzal Rizzal

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.


1992 ◽  
Vol 52 (1) ◽  
pp. 102-103 ◽  
Author(s):  
Doreen Matsui ◽  
Christine Hermann ◽  
Michael Braudo ◽  
Shinya Ito ◽  
Nancy Olivieri ◽  
...  

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