Evidence map›Paper›PMID 35522660›Full record

ArticlePloS one2022

Voice activated remote monitoring technology for heart failure patients: Study design, feasibility and observations from a pilot randomized control trial.

Nawar Shara, Margret V Bjarnadottir, Noor Falah, Jiling Chou, Hasan S Alqutri, Federico M Asch, Kelley M Anderson, Sonita S Bennett, Alexander Kuhn, Becky Montalvo and 3 more

Open access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 3 pooled it
1.8field-weighted citation impact, top 14% 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

10 citing papers in PubMed, 3 syntheses or guidelines pooled it, 12 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

13 authors at 4 institutions in 1 country.

Nawar SharaMedStar Health Research Institute, Hyattsville, MD, United States of America.ORCID 0000-0002-9005-252X
Margret V BjarnadottirCenter for Health Information and Decision Systems, University of Maryland, College Park, MD, United States of America.
Noor FalahMedStar Health Research Institute, Hyattsville, MD, United States of America.ORCID 0000-0002-7045-9162
Jiling ChouMedStar Health Research Institute, Hyattsville, MD, United States of America.
Hasan S AlqutriMedStar Health Research Institute, Hyattsville, MD, United States of America.
Federico M AschMedStar Health Research Institute, Hyattsville, MD, United States of America.
Kelley M AndersonGeorgetown University, Washington, DC, United States of America.
Sonita S BennettMedStar Health Research Institute, Hyattsville, MD, United States of America.
Alexander KuhnMedStar Health Research Institute, Hyattsville, MD, United States of America.ORCID 0000-0002-2748-5242
Becky MontalvoMedStar Health Research Institute, Hyattsville, MD, United States of America.
Osirelis SanchezMedStar Health Research Institute, Hyattsville, MD, United States of America.
Amy LovelandMedStar Health Research Institute, Hyattsville, MD, United States of America.
Selma F MohammedCreighton University, Omaha, NE, United States of America.
MedStar Health · USGeorgetown University · USCreighton University · USUniversity of Maryland, College Park · US

Funding

Maternal Morbidity and Mortality: Risk Factors, Early Detection and Personalized InterventionUL1TR001409 · NCATS · GEORGETOWN UNIVERSITY · PI GONDRE-LEWIS, MARJORIE C, MELLMAN, THOMAS A · 2015 to 2024
$37.8M
NCATS NIH HHS UL1 TR001409
6 · The paper itself

Abstract

backgroundHeart failure (HF) is a serious health condition, associated with high health care costs, and poor outcomes. Patient empowerment and self-care are a key component of successful HF management. The emergence of telehealth may enable providers to remotely monitor patients' statuses, support adherence to medical guidelines, improve patient wellbeing, and promote daily awareness of overall patients' health.

objectiveTo assess the feasibility of a voice activated technology for monitoring of HF patients, and its impact on HF clinical outcomes and health care utilization.

methodsWe conducted a randomized clinical trial; ambulatory HF patients were randomized to voice activated technology or standard of care (SOC) for 90 days. The system developed for this study monitored patient symptoms using a daily survey and alerted healthcare providers of pre-determined reported symptoms of worsening HF. We used summary statistics and descriptive visualizations to study the alerts generated by the technology and to healthcare utilization outcomes.

resultsThe average age of patients was 54 years, the majority were Black and 45% were women. Almost all participants had an annual income below $50,000. Baseline characteristics were not statistically significantly different between the two arms. The technical infrastructure was successfully set up and two thirds of the invited study participants interacted with the technology. Patients reported favorable perception and high comfort level with the use of voice activated technology. The responses from the participants varied widely and higher perceived symptom burden was not associated with hospitalization on qualitative assessment of the data visualization plot. Among patients randomized to the voice activated technology arm, there was one HF emergency department (ED) visit and 2 HF hospitalizations; there were no events in the SOC arm.

conclusionsThis study demonstrates the feasibility of remote symptom monitoring of HF patients using voice activated technology. The varying HF severity and the wide range of patient responses to the technology indicate that personalized technological approaches are needed to capture the full benefit of the technology. The differences in health care utilization between the two arms call for further study into the impact of remote monitoring on health care utilization and patients' wellbeing.

Indexed as

Heart FailureTelemedicineFeasibility StudiesFemaleHumansMaleMiddle AgedPilot ProjectsRandomized Controlled Trials as TopicTechnology

Identifiers

PMID35522660
PMCPMC9075666
OpenAlexW4229005031

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.