Evidence map›Paper›PMID 33309860›Full record

ArticleAmerican journal of kidney diseases : the official journal of the National Kidney Foundation2021

Mobile Health (mHealth) Technology: Assessment of Availability, Acceptability, and Use in CKD.

Sarah J Schrauben, Lawrence Appel, Eleanor Rivera, Claudia M Lora, James P Lash, Jing Chen, L Lee Hamm, Jeffrey C Fink, Alan S Go, Raymond R Townsend and 5 more

Open access · greenAbstract read
In one paragraph

Article in American journal of kidney diseases : the official journal of the National Kidney Foundation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 6 pooled it
14.0field-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

50 citing papers in PubMed, 6 syntheses or guidelines pooled it, 108 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

15 authors at 7 institutions in 1 country.

Sarah J SchraubenDepartment of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA; Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA. Electronic address: Sarah.Schrauben@pennmedicine.upenn.edu.
Lawrence AppelJohns Hopkins University School of Medicine and School of Public Health, Baltimore, MD.
Eleanor RiveraCollege of Nursing, University of Illinois Chicago, Chicago, IL.
Claudia M LoraDepartment of Medicine, School of Medicine, University of Illinois at Chicago, Chicago, IL.
James P LashDepartment of Medicine, School of Medicine, University of Illinois at Chicago, Chicago, IL.
Jing ChenTulane University School of Medicine, New Orleans, LA.
L Lee HammTulane University School of Medicine, New Orleans, LA.
Jeffrey C FinkDepartment of Medicine, School of Medicine, University of Maryland, Baltimore, MD.
Alan S GoKaiser Permanentee Northern California, Oakland, CA.
Raymond R TownsendDepartment of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.
Rajat DeoDepartment of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.
Laura M DemberDepartment of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA; Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.
Harold I FeldmanDepartment of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA; Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.
Clarissa J DiamantidisDepartment of Medicine, Duke University School of Medicine, Durham, NC.
CRIC Study Investigators
University of Pennsylvania · USTulane University · USUniversity of Illinois Chicago · USDuke University · USJohns Hopkins University · USKaiser Permanente · USUniversity of Maryland, Baltimore · US

Funding

UCSF CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTEUL1RR024131 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOHNSTON, S. CLAIBORNE · 2006 to 2011
$111.2M
Tracking & Evaluation CoreU54GM104940 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI Peter Todd Katzmarzyk · 2012 to 2026
$69.1M
Scientific and Data Coordinating Center(SDCC) for the P*U01DK060990 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI FELDMAN, HAROLD I · 2001 to 2017
$50.1M
Clinical and Translational Science Collaborative of ClevelandUL1TR000439 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI KONSTAN, MICHAEL W. · 2012 to 2016
$50.0M
Michigan Institute for Clinical and Health Research (MCHR)UL1TR000433 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MASHOUR, GEORGE ALEXANDER · 2012 to 2016
$49.9M
Institutional Clinical and Translational Science AwardUL1TR000003 · NCATS · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2012 to 2015
$38.9M
Clinical and Translational Science Collaborative of ClevelandUL1TR002548 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI MCCOMSEY, GRACE A · 2018 to 2022
$35.5M
Tulane COBRE in Cardiometabolic Diseases Clinical Research CoreP20GM109036 · NIGMS · TULANE UNIVERSITY OF LOUISIANA · PI JING CHEN · 2016 to 2026
$25.3M
Continuation of the Coordinating Center for the Chronic Renal Insufficiency Cohort (CRIC) StudyU24DK060990 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI Amanda Hyre Anderson, Laura M Dember · 2018 to 2026
$21.5M
Zonulin Antibodies in Intestinal Permeabilitiy in IDDMM01RR016500 · NCRR · UNIVERSITY OF MARYLAND BALTIMORE · PI OSWALD, LYNN M · 2002 to 2009
$20.2M
Study of the Care and Outcomes of REnal InsufficiencyU01DK060902 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI GO, ALAN S · 2001 to 2025
$19.5M
Limited Competition for the Continuation of the Chronic Renal Insufficiency CohorU01DK061021 · NIDDK · CASE WESTERN RESERVE UNIVERSITY · PI RAHMAN, MAHBOOB · 2001 to 2025
$17.3M
NCATS NIH HHS UL1 TR000003NCATS NIH HHS UL1 TR000424NCATS NIH HHS UL1 TR000433NCATS NIH HHS UL1 TR000439NCATS NIH HHS UL1 TR002548NCRR NIH HHS M01 RR016500NCRR NIH HHS UL1 RR024131NCRR NIH HHS UL1 RR029879NIDDK NIH HHS K23 DK099385NIDDK NIH HHS K23 DK118198NIDDK NIH HHS L30 DK110819NIDDK NIH HHS R01 DK119199NIDDK NIH HHS R01 DK139225NIDDK NIH HHS R21 DK130018NIDDK NIH HHS U01 DK060902NIDDK NIH HHS U01 DK060963NIDDK NIH HHS U01 DK060980NIDDK NIH HHS U01 DK060984NIDDK NIH HHS U01 DK060990NIDDK NIH HHS U01 DK061021NIDDK NIH HHS U01 DK061022NIDDK NIH HHS U01 DK061028NIDDK NIH HHS U24 DK060990NIGMS NIH HHS P20 GM109036NIGMS NIH HHS U54 GM104940
6 · The paper itself

Abstract

RATIONALE &

objectiveDigital and mobile health (mHealth) technologies improve patient-provider communication and increase information accessibility. We assessed the use of technology, attitudes toward using mHealth technologies, and proficiency in using mHealth technologies among individuals with chronic kidney disease (CKD). STUDY

designCross-sectional survey with open text responses. SETTING &

participantsChronic Renal Insufficiency Cohort (CRIC) Study participants who completed current use and interest in using mHealth technologies questionnaires and the eHealth literacy Survey (eHEALS). EXPOSURE: Participant characteristics. OUTCOMES: Use of technology (ie, internet, email, smartphone, and mHealth applications [apps]), interest in future mHealth use, and proficiency in using digital and mHealth technologies, or eHealth literacy, determined by eHEALS score. ANALYTICAL APPROACH: Poisson regression and a qualitative content analysis of open-ended responses.

resultsStudy participants (n = 932) had a mean age of 68 years old and an estimated glomerular filtration rate (eGFR) of 54 mL/min/1.73 m LIMITATIONS: Residual confounding, ascertainment bias.

conclusionsMany individuals with CKD currently use the internet and smartphones and are interested in using mHealth in the future, but few use mHealth apps or have adequate eHealth literacy. mHealth technologies present an opportunity to engage individuals with CKD, especially members of racial or ethnic minority groups because those groups reported greater interest in using mHealth technology than the nonminority population. Further research is needed to identify strategies to overcome inadequate eHealth literacy.

Indexed as

Attitude to HealthHealth Services AccessibilityRenal Insufficiency, ChronicTelemedicineAgedCross-Sectional StudiesFemaleHumansMaleMiddle Agedchronic disease managementchronic kidney disease (CKD)digital dividedigital readinesseHealth literacymHealthmobile healthpatient attitudessurveytechnological proficiencytechnology use

Identifiers

PMID33309860
PMCPMC8154635
OpenAlexW3113266511

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.