Evidence map›Paper›PMID 28606895›Full record

ArticleJMIR mHealth and uHealth2017

Direct Adherence Measurement Using an Ingestible Sensor Compared With Self-Reporting in High-Risk Cardiovascular Disease Patients Who Knew They Were Being Measured: A Prospective Intervention.

David Thompson, Teresa Mackay, Maria Matthews, Judith Edwards, Nicholas S Peters, Susan B Connolly

Erratum issuedAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Innovative Approaches to Enhance and Measure Medication Adherence in Chronic Disease Management: A Review.Medical science monitor : international medical journal of experimental and clinical research · 2024
    Review
  4. Review
  5. Observational
  6. Article
  7. Article
  8. Article
  9. Article
  10. Advancing the Science and Practice of Medication Adherence.Journal of general internal medicine · 2018
    Review
  11. Review
  12. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

David ThompsonInternational Centre for Circulatory Health, National Heart and Lung Institute, Imperial College London, London, United Kingdom.ORCID 0000-0002-0850-7784
Teresa MackayImperial College Healthcare NHS Trust, London, United Kingdom.ORCID 0000-0003-0918-5171
Maria MatthewsImperial College Healthcare NHS Trust, London, United Kingdom.ORCID 0000-0003-1686-4498
Judith EdwardsImperial College Healthcare NHS Trust, London, United Kingdom.ORCID 0000-0002-2954-6942
Nicholas S PetersNational Heart and Lung Institute, Imperial College London, London, United Kingdom.ORCID 0000-0002-3581-8078
Susan B ConnollyNational Heart and Lung Institute, Imperial College London, London, United Kingdom.ORCID 0000-0002-0524-4245

Funding

Wellcome Trust
6 · The paper itself

Abstract

backgroundUse of appropriate cardioprotective medication is a cornerstone of cardiovascular disease prevention, but less-than-optimal patient adherence is common. Thus, strategies for improving adherence are recommended to adopt a multifaceted approach.

objectiveThe objective of our study was to test a system comprising a biodegradable, ingestible sensor for direct measurement of medication ingestion in a group of patients at elevated cardiovascular risk attending a cardiac prevention and rehabilitation program.

methodsIn this prospective intervention trial in a single group of 21 patients running from April 2014 to June 2015, we measured adherence by self-report and adherence determined objectively by the system. The sensor emits a signal when it encounters the acidic environment of the stomach, detectable by an externally worn patch and linked software app. Longitudinal adherence data in the form of daily progress charts for sensed dosing events as compared with scheduled dosing are visible to patients on their tablet computer's medication dosing app, thus providing patients with continuous medication adherence feedback. We sought feedback on patient acceptability by questionnaire assessment. Participants used the system for the 12-week period of their cardiac prevention and rehabilitation program.

resultsOnly 1 patient at initial assessment and 1 patient at end-of-program assessment reported often missing medication. The remaining patients reported never missing medication or had missing data. Only 12 (57%) of patients overall achieved system-determined adherence of 80% or more, and 3 patients had scores below 40%. Participants reported high levels of acceptability.

conclusionsThis integrated system was well tolerated in a group of 21 patients over an appreciable time frame. Its ability to measure adherence reveals the sizeable disconnect between patient self-reported adherence and actual medication taking and has promising potential for clinical use as a tool to encourage better medication-taking behavior due to its ability to provide continuous patient-level feedback.

Indexed as

adherencecardiac prevention and rehabilitationcardiovascular diseasesmedication adherencemHealthprimary preventionremote monitoringtelemedicine

Identifiers

PMID28606895
PMCPMC5484791

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Registered trials

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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.