Evidence map›Paper›PMID 27659887›Full record

Trial reportAmerican heart journal2016

Rationale and design of the Study of a Tele-pharmacy Intervention for Chronic diseases to Improve Treatment adherence (STIC2IT): A cluster-randomized pragmatic trial.

Niteesh K Choudhry, Thomas Isaac, Julie C Lauffenburger, Chandrasekar Gopalakrishnan, Nazleen F Khan, Marianne Lee, Amy Vachon, Tanya L Iliadis, Whitney Hollands, Scott Doheny and 8 more

Open access · greenAbstract readMulticenter StudyPragmatic Clinical TrialRandomized Controlled Trial
In one paragraph

Trial report in American heart journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 pooled it
3.5field-weighted citation impact, top 8% 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

21 citing papers in PubMed, 3 syntheses or guidelines pooled it, 34 citations in OpenAlex.

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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

18 authors at 3 institutions in 2 countries.

Niteesh K ChoudhryDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Center for Healthcare Delivery Sciences (C4HDS), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA. Electronic address: nkchoudhry@bwh.harvard.edu.
Thomas IsaacAtrius Health, Newton, MA, USA.
Julie C LauffenburgerDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Center for Healthcare Delivery Sciences (C4HDS), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Chandrasekar GopalakrishnanDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Nazleen F KhanDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Marianne LeeAtrius Health, Newton, MA, USA.
Amy VachonAtrius Health, Newton, MA, USA.
Tanya L IliadisAtrius Health, Newton, MA, USA.
Whitney HollandsAtrius Health, Newton, MA, USA.
Scott DohenyAtrius Health, Newton, MA, USA.
Sandra ElmanAtrius Health, Newton, MA, USA.
Jacqueline M KraftAtrius Health, Newton, MA, USA.
Samrah NaseemAtrius Health, Newton, MA, USA.
Joshua J GagneDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Cynthia A JackeviciusWestern University of Health Sciences, Pomona, CA; Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada.
Michael A FischerDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Daniel H SolomonDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Division of Rheumatology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Thomas D SequistDivision of General Internal Medicine and Department of Health Care Policy, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Harvard University · USBrigham and Women's Hospital · USInstitute for Clinical Evaluative Sciences · CA

Funding

Interactive Tele-Pharmacy to Improve Chronic Medication AdherenceR01HL117918 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI CHOUDHRY, NITEESH K, SEQUIST, THOMAS D · 2014 to 2017
$2.8M
NHLBI NIH HHS R01 HL117918
6 · The paper itself

Abstract

backgroundApproximately half of patients with chronic cardiometabolic conditions are nonadherent with their prescribed medications. Interventions to improve adherence have been only modestly effective because they often address single barriers to adherence, intervene at single points in time, or are imprecisely targeted to patients who may not need adherence assistance.

objectiveTo evaluate the effect of a multicomponent, behaviorally tailored pharmacist-based intervention to improve adherence to medications for diabetes, hypertension, and hyperlipidemia. TRIAL

designThe STIC2IT trial is a cluster-randomized pragmatic trial testing the impact of a pharmacist-led multicomponent intervention that uses behavioral interviewing, text messaging, mailed progress reports, and video visits. Targeted patients are those who are nonadherent to glucose-lowering, antihypertensive, or statin medications and who also have evidence of poor disease control. The intervention is tailored to patients' individual health barriers and their level of health activation. We cluster-randomized 14 practice sites of a large multispecialty group practice to receive either the pharmacist-based intervention or usual care. STIC2IT has enrolled 4,076 patients who will be followed up for 12months after randomization. The trial's primary outcome is medication adherence, assessed using pharmacy claims data. Secondary outcomes are disease control and health care resource utilization.

conclusionThis trial will determine whether a technologically enabled, behaviorally targeted pharmacist-based intervention results in improved adherence and disease control. If effective, this strategy could be a scalable method of offering tailored adherence support to those with the greatest clinical need.

Indexed as

Medication AdherencePharmaceutical ServicesTelemedicineChronic DiseaseDiabetes MellitusHumansHyperlipidemiasHypertensionIntention to Treat AnalysisProspective StudiesResearch Design

Identifiers

PMID27659887
PMCPMC5053099
OpenAlexW2498017468

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.