Evidence map›Paper›PMID 34406972›Full record

ArticleJMIR nursing2020

Experiences of Complex Patients With Telemonitoring in a Nurse-Led Model of Care: Multimethod Feasibility Study.

Kayleigh Gordon, Katie N Dainty, Carolyn Steele Gray, Jane DeLacy, Amika Shah, Myles Resnick, Emily Seto

Erratum issued Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JMIR nursing, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT05543720 (Nurse-led Integrated Care of Complex Patients Facilitated By Telemonitoring), which is not on this map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 pooled it
1.6field-weighted citation impact, top 16% 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.

NCT05543720 naactive not recruitingnot on this mapstarted 2022, after this paper: background citation

Nurse-led Integrated Care of Complex Patients Facilitated By Telemonitoring: The Safe, Managed, and Responsive Transitions (SMaRT) Study

TypeinterventionalSponsorUniversity Health Network, TorontoRan2022 to 2026Enrolled350ConditionsHeart Failure,Congestive, Mental Health (Depression), Diabetes Mellitus, Chronic Obstructive Pulmonary DiseaseArmsMedly
3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 3 syntheses or guidelines pooled it, 23 citations in OpenAlex.

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  11. CNN-LSTM Model for Recognizing Video-Recorded Actions Performed in a Traditional Chinese Exercise.IEEE journal of translational engineering in health and medicine · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 1 country.

Kayleigh GordonDalla Lana School of Public Health, University of Toronto, Institute for Health Policy, Management, & Evaluation, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-5953-8214
Katie N DaintyDalla Lana School of Public Health, University of Toronto, Institute for Health Policy, Management, & Evaluation, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-2906-8813
Carolyn Steele GrayDalla Lana School of Public Health, University of Toronto, Institute for Health Policy, Management, & Evaluation, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-2146-0001
Jane DeLacyWilliam Osler Health System, Brampton, ON, Canada.ORCID https://orcid.org/0000-0003-4719-1388
Amika ShahDalla Lana School of Public Health, University of Toronto, Institute for Health Policy, Management, & Evaluation, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-8615-2683
Myles ResnickCenter for Global eHealth Innovation, Techna Institute, University Health Network, Toronto, ON, Canada.ORCID https://orcid.org/0000-0001-7579-7606
Emily SetoDalla Lana School of Public Health, University of Toronto, Institute for Health Policy, Management, & Evaluation, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-8723-5915
University Health Network · CALunenfeld-Tanenbaum Research Institute · CANorth York General Hospital · CAWilliam Osler Health System · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTelemonitoring (TM) interventions have been designed to support care delivery and engage patients in their care at home, but little research exists on TM of complex chronic conditions (CCCs). Given the growing prevalence of complex patients, an evaluation of multi-condition TM is needed to expand TM interventions and tailor opportunities to manage complex chronic care needs.

objectiveThis study aims to evaluate the feasibility and patients' perceived usefulness of a multi-condition TM platform in a nurse-led model of care.

methodsA pragmatic, multimethod feasibility study was conducted with patients with heart failure (HF), hypertension (HTN), and/or diabetes. Patients were asked to take physiological readings at home via a smartphone-based TM app for 6 months. The recommended frequency of taking readings was dependent on the condition, and adherence data were obtained through the TM system database. Patient questionnaires were administered, and patient interviews were conducted at the end of the study. An inductive analysis was performed, and codes were then mapped to the normalization process theory and Implementation Outcomes constructs by Proctor.

resultsIn total, 26 participants were recruited, 17 of whom used the TM app for 6 months. Qualitative interviews were conducted with 14 patients, and 8 patients were interviewed with their informal caregiver present. Patient adherence was high, with patients with HF taking readings on average 76.6% (141/184) of the days they were asked to use the system and patients with diabetes taking readings on average 72% (19/26) of the days. The HTN adherence rate was 55% (29/52) of the days they were asked to use the system. The qualitative findings of the patient experience can be grouped into 4 main themes and 13 subthemes. The main themes were (1) making sense of the purpose of TM, (2) engaging and investing in TM, (3) implementing and adopting TM, and (4) perceived usefulness and the perceived benefits of TM in CCCs.

conclusionsMulti-condition TM in nurse-led care was found to be feasible and was perceived as useful. Patients accepted and adopted the technology by demonstrating a moderate to high level of adherence across conditions. These results demonstrate how TM can address the needs of patients with CCCs through virtual TM assessments in a nurse-led care model by supporting patient self-care and keeping patients connected to their clinical team.

Indexed as

adherencecomplex patientsimplementationmobile phonenormalization process theorypatient experiencetelemonitoring

Identifiers

PMID34406972
PMCPMC8408315
OpenAlexW3080586894

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.