Evidence map›Paper›PMID 24803275›Full record

ArticleJournal of telemedicine and telecare2014

Use of a telehealth system by older adults with hypertension.

Sara J Czaja, Chin Chin Lee, Neysari Arana, Sankaran N Nair, Joseph Sharit

Open access · greenAbstract read
In one paragraph

Article in Journal of telemedicine and telecare, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
2.0field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 38 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

5 authors at 1 institution in 1 country.

Sara J CzajaDepartment of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, USA sczaja@med.miami.edu.
Chin Chin LeeCenter on Aging, University of Miami Miller School of Medicine, USA.
Neysari AranaCenter on Aging, University of Miami Miller School of Medicine, USA.
Sankaran N NairCenter on Aging, University of Miami Miller School of Medicine, USA.
Joseph SharitDepartment of Industrial Engineering, University of Miami, USA.
University of Miami · US

Funding

Understanding Issues Surrounding Technology Uptake and the Influence of Technology and Decision Making in Older AdultsP01AG017211 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI CZAJA, SARA J · 1999 to 2019
$26.6M
NIA NIH HHS P01 AG017211
6 · The paper itself

Abstract

We conducted a feasibility study of a home telehealth system that monitored blood pressure and bodyweight. A total of 34 participants with hypertension (10 males and 24 females) had the telemedicine system installed in their homes. Their mean age was 72 years and 94% of them self-identified as Hispanic. The telehealth system transmitted blood pressure and bodyweight data to a server. There was also a messaging function that was used to send a daily reminder to the participants. Participants used the telehealth system for six months. Ten participants were lost to follow up and 24 participants completed the entire study. Participants had strong positive perceptions regarding the usability and usefulness of the telemedicine system. Most of them (92%) found the device easy to use and 96% felt that the training they received prepared them to use the device. The providers indicated that use of the system improved their ability to manage their patients. The results of the study suggest that use of the telehealth system for home monitoring in Hispanic patients with hypertension is feasible.

Identifiers

PMID24803275
PMCPMC4982837
OpenAlexW2316591837

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.