Evidence map›Paper›PMID 32734164›Full record

ArticleJAMIA open2020

Medication adherence for atrial fibrillation patients: triangulating measures from a smart pill bottle, e-prescribing software, and patient communication through the electronic health record.

Tammy Toscos, Michelle Drouin, Jessica A Pater, Mindy Flanagan, Shauna Wagner, Amanda Coupe, Ryan Ahmed, Michael J Mirro

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JAMIA open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06522698 (Optimizing Research Data Acquisition With Smart Pill Bottles), which is not on this map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.7field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06522698 naunknown statusnot on this mapstarted 2024, after this paper: background citation

Optimizing Research Data Acquisition With Smart Pill Bottles: A Feasibility and Implementation Study

TypeinterventionalSponsorCiusss de L'Est de l'Île de MontréalRan2024 to 2025Enrolled155ConditionsPost Operative Pain, Opioid UseArmsSmart Pill Bottle
3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
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  5. Review
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  7. mHealth for Medication and Side Effect Monitoring: Patients' Attitudes Toward Smart Devices for Managing Oral Chemotherapy During Lung Cancer Treatment.International Conference on Pervasive Computing Technologies for Healthcare : [proceedings]. International Conference on Pervasive Computing Technologies for Healthcare · 2023
    Article
  8. Article
  9. Article
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  11. Persistence as a Robust Indicator of Medication Adherence-Related Quality and Performance.International journal of environmental research and public health · 2021
    Article
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Tammy ToscosHealth Services and Informatics Research, Parkview Mirro Center for Research and Innovation, Fort Wayne, Indiana, USA.
Michelle DrouinHealth Services and Informatics Research, Parkview Mirro Center for Research and Innovation, Fort Wayne, Indiana, USA.ORCID 0000-0003-0010-9260
Jessica A PaterHealth Services and Informatics Research, Parkview Mirro Center for Research and Innovation, Fort Wayne, Indiana, USA.
Mindy FlanaganHealth Services and Informatics Research, Parkview Mirro Center for Research and Innovation, Fort Wayne, Indiana, USA.
Shauna WagnerHealth Services and Informatics Research, Parkview Mirro Center for Research and Innovation, Fort Wayne, Indiana, USA.
Amanda CoupeHealth Services and Informatics Research, Parkview Mirro Center for Research and Innovation, Fort Wayne, Indiana, USA.
Ryan AhmedHealth Services and Informatics Research, Parkview Mirro Center for Research and Innovation, Fort Wayne, Indiana, USA.
Michael J MirroHealth Services and Informatics Research, Parkview Mirro Center for Research and Innovation, Fort Wayne, Indiana, USA.
Parkview Health · USPurdue University Fort Wayne · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveOur primary objectives were to examine adherence rates across two technologies (e-prescribing software and smart pill bottle) with cross-validation from alert-triggered messaging within the patient electronic health record (EHR) portal and to explore the benefits and challenges faced by atrial fibrillation (AF) patients in using a smart pill bottle. MATERIALS AND

methodsWe triangulated the rate of oral anticoagulant medication adherence among 160 AF patients over 6 months using an EHR in combination with data from the AdhereTech© Wireless Smart Pill Bottle and Surescripts

resultsPatients maintained an average adherence rate of 90.0% according to the smart pill bottle; however, when dose misses were calibrated based on patient or provider feedback, the adjusted adherence was 93.6%. Surescripts adherence rates for refills were 92.2%. Participants generally found the bottle easy to operate but suggested that its size and functionality did not fit seamlessly into their existing routine, as many used weekly pill organizers to manage multiple medications. DISCUSSION: Though each method of tracking adherence has positive and negative attributes, combining them and seeking patient feedback may help capture a more accurate adherence rate than any single technological intervention. Technologies may have different design considerations for research and consumer use.

conclusionOverall, these technologies provide useful but imperfect adherence data for research purposes, and smart pill bottles could be improved with patient-centered design. LAY SUMMARY: Medication adherence is very important for those with chronic health issues. For those with heart disease, medication adherence not only offers opportunities for improving quality of life, but it also can be life-saving. Nonetheless, many patients with heart disease, including those with atrial fibrillation (the target group for this study) do not take their medications regularly. As technologies advance, there is unprecedented opportunity to track patients' medication adherence through various methods, which might provide motivation and information to patients as they make daily choices about medication use. In this study, we cross-referenced the results of two of these measures over 6 months-a smart pill bottle, which we used to track pill bottle openings, and e-prescribing software, which we used to track medication refills. We also supplemented these measures with nurse-patient communication via the EHR messaging portal to record exceptions (eg, travel and medication changes) and interviewed patients about their medication use during the 6-month trial. Overall, the tracking technologies worked relatively well to track patient (

Indexed as

atrial fibrillationelectronic health recorde-prescribingmedication adherenceremote sensing

Identifiers

PMID32734164
PMCPMC7382621
OpenAlexW3021911090

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.