Evidence map›Paper›PMID 34247788›Full record

ArticleApplied nursing research : ANR2021

Comparing medication adherence using a smartphone application and electronic monitoring among patients with acute coronary syndrome.

Nicholas A Giordano, Kathryn A Riman, Rachel French, Marguerite Daus, Alisa J Stephens-Shields, Stephen E Kimmel, Barbara Riegel

Open access · greenAbstract read
In one paragraph

Article in Applied nursing research : ANR, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 34% 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.

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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
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

7 authors at 2 institutions in 1 country.

Nicholas A GiordanoNell Hodgson Woodruff School of Nursing, 1520 Clifton Rd, Atlanta, GA 30322, United States of America.
Kathryn A RimanCenter for Health Outcomes and Policy Research, School of Nursing at the University of Pennsylvania, 418 Curie Boulevard, Philadelphia, PA 19104-4217, United States of America.
Rachel FrenchCenter for Health Outcomes and Policy Research, School of Nursing at the University of Pennsylvania, 418 Curie Boulevard, Philadelphia, PA 19104-4217, United States of America.
Marguerite DausCenter for Health Outcomes and Policy Research, School of Nursing at the University of Pennsylvania, 418 Curie Boulevard, Philadelphia, PA 19104-4217, United States of America; Hillman Scholar in Nursing Innovation, School of Nursing at the University of Pennsylvania, 418 Curie Boulevard, Philadelphia, PA 19104-4217, United States of America.
Alisa J Stephens-ShieldsPerelman School of Medicine at the University of Pennsylvania, 423 Guardian Drive, Philadelphia, PA 19104, United States of America.
Stephen E KimmelUniversity of Florida, Department of Epidemiology, 2004 Mowry Road, Gainesville, FL 32610.
Barbara RiegelSchool of Nursing at the University of Pennsylvania, 418 Curie Boulevard, Philadelphia, PA 19104-4217, United States of America. Electronic address: briegel@nursing.upenn.edu.
University of Pennsylvania · USUniversity of Florida · US

Funding

ADVANCED TRAINING IN NURSING OUTCOMES RESEARCHT32NR007104 · NINR · UNIVERSITY OF PENNSYLVANIA · PI JACQUELINE MARGO BROOKS CARTHON, EILEEN T LAKE · 1999 to 2026
$11.6M
NINR NIH HHS T32 NR007104
6 · The paper itself

Abstract

aimThe purpose of this study was to determine the extent of agreement between adherence measures obtained using two technological interventions, electronic monitoring (EM) and a smartphone application (App).

backgroundClinicians, patients, and researchers depend on valid measurements of medication adherence to inform the delivery of preemptive care when needed. Technology is routinely used for monitoring medication adherence in both clinical practice and research, yet there is a dearth of research comparing novel App based approaches to traditional approaches used for assessing medication adherence.

methodsAdherence rates were captured on both the EM and the App for 3697 daily observations from 44 participants with acute coronary syndrome over 90 days immediately following discharge from acute care. For EM, adherence was measured using EM equipped pill bottles. For the App, adherence was measured by having participants upload daily photos to the App prior to taking their daily aspirin. Agreement was assessed using a Bland-Altman analysis.

resultsThe mean adherence rate was higher on the App, 92%, than the EM, 78% (p < 0.001). The mean difference in adherence rates between these methods was 14% (95% Confidence Interval: -23%, -5%).

conclusionsThese findings illustrate a lack of agreement between technological interventions used for measuring adherence in cardiovascular patient populations, with higher adherence rates observed with the App compared to EM. These findings are salient given the increased reliance on telehealth due to the ongoing COVID-19 pandemic.

Indexed as

Acute Coronary SyndromeDrug MonitoringMobile ApplicationsSmartphoneCOVID-19HumansPandemicsTelemedicineAcute coronary syndromeMedication adherenceMobile applicationsTelehealth

Identifiers

PMID34247788
PMCPMC9358973
OpenAlexW3164997522

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.