Evidence map›Paper›PMID 26540369›Full record

Trial reportTelemedicine journal and e-health : the official journal of the American Telemedicine Association2016

Remote Health Monitoring for Older Adults and Those with Heart Failure: Adherence and System Usability.

Jarrett Evans, Amy Papadopoulos, Christine Tsien Silvers, Neil Charness, Walter R Boot, Loretta Schlachta-Fairchild, Cindy Crump, Michele Martinez, Carrie Beth Ent

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Telemedicine journal and e-health : the official journal of the American Telemedicine Association, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 2 pooled it
12.2field-weighted citation impact, top 1% 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

41 citing papers in PubMed, 2 syntheses or guidelines pooled it, 120 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

9 authors at 1 institution in 1 country.

Jarrett Evans1 Department of Psychology, Florida State University , Tallahassee, Florida.
Amy Papadopoulos2 AFrame Digital, Inc. , Reston, Virginia.
Christine Tsien Silvers2 AFrame Digital, Inc. , Reston, Virginia.
Neil Charness1 Department of Psychology, Florida State University , Tallahassee, Florida.
Walter R Boot1 Department of Psychology, Florida State University , Tallahassee, Florida.
Loretta Schlachta-Fairchild3 iTelehealth Inc. , Cocoa Beach, Florida.
Cindy Crump2 AFrame Digital, Inc. , Reston, Virginia.
Michele Martinez4 College of Nursing, Florida State University , Tallahassee, Florida.
Carrie Beth Ent4 College of Nursing, Florida State University , Tallahassee, Florida.
Florida State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRemote health monitoring technology has been suggested as part of an early intervention and prevention care model. Older adults with a chronic health condition have been shown to benefit from remote monitoring but often have challenges with complex technology. The current study reports on the usability of and adherence with an integrated, real-time monitoring system over an extended period of time by older adults with and without a chronic health condition. MATERIALS AND

methodsOlder adults 55 years of age and over with and without heart failure participated in a study in which a telehealth system was used for 6 months each. The system consisted of a wireless wristwatch-based monitoring device that continuously collected temperature and motion data. Other health information was collected daily using a weight scale, blood pressure cuff, and tablet that participants used for health surveys. Data were automatically analyzed and summarized by the system and presented to study nurses.

resultsForty-one older adults participated. Seventy-one percent of surveys, 75% of blood pressure readings, and 81% of daily weight measurements were taken. Participants wore the watch monitor 77% of the overall 24/7 time requested. The weight scale had the highest usability rating in both groups. The groups did not otherwise differ on device usage.

conclusionsThe findings indicate that a health monitoring system designed for older adults can and will be used for an extended period of time and may help older adults with chronic conditions reside longer in their own homes in partnership with the healthcare system.

Indexed as

AgedAged, 80 and overBlood PressureBody WeightChronic DiseaseComputers, HandheldFemaleHeart FailureHumansMaleMiddle AgedMonitoring, AmbulatoryPatient ComplianceRemote Sensing TechnologySelf CareTelemedicineadherencee-healthhome health monitoringmobile healthtelehealthusability

Identifiers

PMID26540369
PMCPMC4892222
OpenAlexW2112469494

What OpenQuestion holds

Textmetadata
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.