Evidence map›Paper›PMID 28939546›Full record

ArticleJMIR research protocols2017

Using Smart Technology to Improve Outcomes in Myocardial Infarction Patients: Rationale and Design of a Protocol for a Randomized Controlled Trial, The Box.

Roderick Willem Treskes, Louise Anna van Winden, Nicole van Keulen, Douwe Ekke Atsma, Enno Tjeerd van der Velde, Elske van den Akker-van Marle, Bart Mertens, Martin Jan Schalij

Registry-linked trialAbstract read
In one paragraph

Article in JMIR research protocols, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02976376 (The Box), which is not on this map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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.

NCT02976376 nacompletednot on this map

The Box: Using Smart Technology to Improve One-year Outcome of Myocardial Infarction Patients

TypeinterventionalSponsorLeiden University Medical CenterRan2016 to 2018Enrolled200ConditionsMyocardial InfarctionArmsThe Box
3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Huisarts en wetenschap · 2020
    Article
  11. Expectations and perceived barriers to widespread implementation of e‑Health in cardiology practice: Results from a national survey in the Netherlands.Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation · 2019
    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.

Roderick Willem TreskesDepartment of Cardiology, Leiden University Medical Center, Leiden, Netherlands.ORCID http://orcid.org/0000-0003-3210-6005
Louise Anna van WindenDepartment of Cardiology, Leiden University Medical Center, Leiden, Netherlands.ORCID http://orcid.org/0000-0003-2188-0185
Nicole van KeulenDepartment of Cardiology, Leiden University Medical Center, Leiden, Netherlands.ORCID http://orcid.org/0000-0002-6664-1324
Douwe Ekke AtsmaDepartment of Cardiology, Leiden University Medical Center, Leiden, Netherlands.ORCID http://orcid.org/0000-0002-9664-2985
Enno Tjeerd van der VeldeDepartment of Cardiology, Leiden University Medical Center, Leiden, Netherlands.ORCID http://orcid.org/0000-0002-0027-8059
Elske van den Akker-van MarleDepartment of Medical Decision Making, Leiden University Medical Center, Leiden, Netherlands.ORCID http://orcid.org/0000-0002-5269-509X
Bart MertensDepartment of Medical Statistics, Leiden University Medical Center, Leiden, Netherlands.ORCID http://orcid.org/0000-0002-5019-0354
Martin Jan SchalijDepartment of Cardiology, Leiden University Medical Center, Leiden, Netherlands.ORCID http://orcid.org/0000-0003-3767-5231

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent evidence suggests that frequent monitoring using smartphone-compatible wearable technologies might improve clinical effectiveness and patient satisfaction of care.

objectiveThe aim of this study is to investigate the clinical effectiveness and patient satisfaction of a smart technology intervention in patients admitted with a ST elevation myocardial infarction (STEMI) or non-ST acute coronary syndrome (NST-ACS).

methodsIn this single center, open, randomized controlled trial patients who suffered from STEMI or NST-ACS will be randomized 1:1 to an intervention group or control group. Both groups will be followed up to one year after the index event. The intervention group will take daily measurements with a smartphone-compatible electrocardiogram device, blood pressure (BP) monitor, weight scale, and activity tracker. Furthermore, two of four outpatient clinic visits will be replaced by electronic visits (1 and 6 months after index event). The control group will receive regular care, consisting of four outpatient clinic visits (1, 3, 6, and 12 months after index event). All patients will be asked to fill in validated questionnaires about patient satisfaction, quality of life, propensity of medication adherence, and physical activity.

resultsThe primary outcome of this trial will be percentage of patients with controlled BP. Secondary outcomes include patient satisfaction, health care utilization, major adverse cardiac events, medication adherence, physical activity, quality of life, and percentage of patients in which a sustained arrhythmia is detected.

conclusionsSmart technology could potentially improve care in postmyocardial infarction patients. This trial will investigate whether usage of smart technology can improve clinical- and cost-effectiveness of care.

trial registrationClinicaltrials.gov NCT02976376; https://clinicaltrials.gov/ct2/show/NCT02976376 (Archived by WebCite at http://www.webcitation.org/6tcvAdbdH).

Indexed as

hypertensionmyocardial infarctiontelemedicine

Identifiers

PMID28939546
PMCPMC5630694

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.