Evidence map›Paper›PMID 29162557›Full record

ArticleJMIR research protocols2017

Self-Management and Clinical Decision Support for Patients With Complex Chronic Conditions Through the Use of Smartphone-Based Telemonitoring: Randomized Controlled Trial Protocol.

Emily Seto, Patrick Ware, Alexander G Logan, Joseph A Cafazzo, Kenneth R Chapman, Phillip Segal, Heather J Ross

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 NCT03127852 (Randomized Controlled Trial of a Mobile Phone-based Telemonitoring Application for Self-management and Clinical Decision Support for Patients With Complex Chronic Conditions), which is not on this map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
–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.

NCT03127852 nacompletednot on this map

Randomized Controlled Trial of a Mobile Phone-based Telemonitoring Application for Self-management and Clinical Decision Support for Patients With Complex Chronic Conditions

TypeinterventionalSponsorUniversity Health Network, TorontoRan2016 to 2020Enrolled96ConditionsHeart Failure, Chronic Obstructive Pulmonary Disease, Chronic Kidney Disease, Uncontrolled HypertensionArmsMedly
3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. mHealth education interventions in heart failure.The Cochrane database of systematic reviews · 2020
    Pooled it
  3. Trial
  4. Article
  5. Article
  6. Review
  7. 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

7 authors.

Emily SetoInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.ORCID http://orcid.org/0000-0002-8723-5915
Patrick WareInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.ORCID http://orcid.org/0000-0002-5325-9871
Alexander G LoganLunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON, Canada.ORCID http://orcid.org/0000-0002-3419-5761
Joseph A CafazzoInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.ORCID http://orcid.org/0000-0002-3114-4440
Kenneth R ChapmanAsthma and Airway Centre, University Health Network, Toronto, ON, Canada.ORCID http://orcid.org/0000-0002-2498-9859
Phillip SegalDivision of Endocrinology, University Health Network, Toronto, ON, Canada.ORCID http://orcid.org/0000-0001-5022-908X
Heather J RossTed Rogers Centre of Excellence for Heart Function, University Health Network, Toronto, ON, Canada.ORCID http://orcid.org/0000-0003-4384-3027

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe rising prevalence of chronic illnesses hinders the sustainability of the health care system because of the high cost of frequent hospitalizations of patients with complex chronic conditions. Clinical trials have demonstrated that telemonitoring can improve health outcomes, but they have generally been limited to single conditions such as diabetes, hypertension, or heart failure. Few studies have examined the impact of telemonitoring on complex patients with multiple chronic conditions, although these patients may benefit the most from this technology.

objectiveThe aim of this study is to investigate the impact of a smartphone-based telemonitoring system on the clinical care and health outcomes of complex patients across several chronic conditions.

methodsA mixed-methods, 6-month randomized controlled trial (RCT) of a smartphone-based telemonitoring system is being conducted in specialty clinics. The study will include patients who have been diagnosed with one or more of any of the following conditions: heart failure, chronic obstructive pulmonary disease, chronic kidney disease, uncontrolled hypertension, or insulin-requiring diabetes. The primary outcome will be the health status of patients as measured with SF-36. Patients will be randomly assigned to either the control group receiving usual care (n=73) or the group using the smartphone-based telemonitoring system in addition to usual care (n=73).

resultsParticipants are currently being recruited for the trial. Data collection is anticipated to be completed by the fall of 2018.

conclusionsThis RCT will be among the first trials to provide evidence of the impact of telemonitoring on costs and health outcomes of complex patients who may have multiple chronic conditions.

trial registrationInternational Standard Randomized Controlled Trial Number (ISRCTN): 41238563; http://www.isrctn.com/ISRCTN41238563 (Archived by WebCite at http://www.webcitation.org/6ug2Sk0af) and Clinicaltrials.gov NCT03127852; https://clinicaltrials.gov/ct2/show/NCT03127852 (Archived by WebCite at http://www.webcitation.org/6uvjNosBC).

Indexed as

mHealthmultiple chronic diseasesrandomized controlled trialsmartphone

Identifiers

PMID29162557
PMCPMC5717446

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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.