Evidence map›Paper›PMID 28536088›Full record

ArticleJMIR research protocols2017

The Use of Text Messaging to Improve the Hospital-to-Community Transition in Acute Coronary Syndrome Patients (Txt2Prevent): Intervention Development and Pilot Randomized Controlled Trial Protocol.

Emily S Ross, Brodie M Sakakibara, Martha H Mackay, David Gt Whitehurst, Joel Singer, Mustafa Toma, Kitty K Corbett, Harriette Gc Van Spall, Kimberly Rutherford, Bobby Gheorghiu and 2 more

Registry-linked trialOpen access · goldAbstract 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 NCT02336919 (The Use of Text Messaging to Improve the Hospital-community Transition and Prevent Readmission in Patients With Cardiovascular Disease), which is not on this map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 5% 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.

NCT02336919 nacompletednot on this map

The Use of Text Messaging to Improve the Hospital-community Transition and Prevent Readmission in Patients With Cardiovascular Disease (Txt2Prevent)

TypeinterventionalSponsorSimon Fraser UniversityRan2015 to 2017Enrolled76ConditionsCardiovascular Disease, Acute Coronary SyndromeArmsTxt2Prevent
3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Smartphones and e-tablets in perioperative medicine.Korean journal of anesthesiology · 2017
    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

12 authors at 8 institutions in 1 country.

Emily S RossDepartment of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, BC, Canada.ORCID http://orcid.org/0000-0002-7851-9481
Brodie M SakakibaraFaculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada.ORCID http://orcid.org/0000-0001-6400-0139
Martha H MackaySchool of Nursing, University of British Columbia, Vancouver, BC, Canada.ORCID http://orcid.org/0000-0002-0290-9715
David Gt WhitehurstFaculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada.ORCID http://orcid.org/0000-0002-7890-6756
Joel SingerSchool of Population and Public Health, University of British Columbia, Vancouver, BC, Canada.ORCID http://orcid.org/0000-0002-7220-4382
Mustafa TomaDivision of Cardiology, Providence Health Care, Vancouver, BC, Canada.ORCID http://orcid.org/0000-0002-0274-3962
Kitty K CorbettFaculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada.ORCID http://orcid.org/0000-0003-2192-6681
Harriette Gc Van SpallDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.ORCID http://orcid.org/0000-0002-8370-4569
Kimberly RutherfordDepartment of Family Practice, University of British Columbia, Vancouver, BC, Canada.ORCID http://orcid.org/0000-0002-1449-8298
Bobby GheorghiuCanada Health Infoway, Toronto, ON, Canada.ORCID http://orcid.org/0000-0001-6933-5456
Jillianne CodeFaculty of Education, University of Victoria, Victoria, BC, Canada.ORCID http://orcid.org/0000-0002-3096-1289
Scott A LearDepartment of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, BC, Canada.ORCID http://orcid.org/0000-0001-7614-755X
University of British Columbia · CAProvidence Health Care · CACanada Health Infoway · CAImpact · CASimon Fraser University · CAUniversity of Victoria · CAUniversity of Waterloo · CAVancouver Coastal Health · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute coronary syndrome, including acute myocardial infarction (AMI), is one of the leading causes for hospitalization, with AMI 30-day readmission rates around 20%. Supporting patient information needs and increasing adherence to recommended self-management behaviors during transition from hospital to home has the potential to improve patient outcomes. Text messages have been effective in other interventions and may be suitable to provide support to patients during this transition period.

objectiveThe goal of this study is to pilot test a text messaging intervention program (Txt2Prevent) that supports acute coronary syndrome patients for 60 days postdischarge. The primary objective is to compare self-management, as measured by the Health Education Impact Questionnaire, between patients receiving only usual care versus those who receive usual care plus the Txt2Prevent intervention. The secondary objectives are to compare medication adherence, health-related quality of life, self-efficacy, health care resource use (and associated costs), all-cause and cardiovascular disease (CVD) readmission, and all-cause and CVD mortality rates between the 2 groups. The third objective is to assess acceptability of the text messaging intervention and feasibility of the study protocol.

methodsThis is a randomized controlled trial with blinding of outcome assessors. The Txt2Prevent program includes automated text messages to patients about standard follow-up care, general self-management, and healthy living. The content of the text messages was informed by and developed based on interviews with patients, discharge materials, theoretical domains of behavior, and a clinical advisory group composed of patients, clinicians, and researchers. We will recruit 76 consecutive cardiac in-patients with acute coronary syndrome who are treated with either medical management or percutaneous coronary intervention from a hospital in Vancouver, Canada.

resultsAssessments at baseline will include measures for demographic information, self-management, health-related quality of life, and self-efficacy. Assessments at follow-up will include medication adherence, readmissions, health care resource use, and mortality in addition to the reassessment of baseline measures. Baseline assessments are done in-person while follow-up assessments are completed through a combination of mailed packages and phone calls. Semistructured interviews with participants will also be performed to better understand participant experiences managing their condition and with the text messages.

conclusionsThis study will determine preliminary efficacy, feasibility, and acceptability of the Txt2Prevent program to support acute coronary syndrome patients in the transition to home following hospital discharge. The results of this study will be used to inform a larger trial.

trial registrationClinicalTrials.gov NCT02336919; https://clinicaltrials.gov/ct2/show/NCT02336919 (Archived by WebCite at http://www.webcitation.org/6qMjEqo6O).

Indexed as

acute coronary syndromecardiovascular diseasesheart diseasesmobile healthmobile phoneSMStext messaging

Identifiers

PMID28536088
PMCPMC5461423
OpenAlexW2617502002

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.