Evidence map›Paper›PMID 28241935›Full record

ArticleInternational journal of medical informatics2017

Remotely engaged: Lessons from remote monitoring in multiple sclerosis.

Matthew M Engelhard, Stephen D Patek, Kristina Sheridan, John C Lach, Myla D Goldman

Abstract read
In one paragraph

Article in International journal of medical informatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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.

Matthew M EngelhardDepartment of Systems and Information Engineering, University of Virginia, P.O. Box 400747, Charlottesville, VA, 22904, USA. Electronic address: mme@virginia.edu.
Stephen D PatekDepartment of Systems and Information Engineering, University of Virginia, Charlottesville, VA, USA.
Kristina SheridanMITRE Corporation, McLean, VA, USA.
John C LachDepartment of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, USA.
Myla D GoldmanDepartment of Neurology, University of Virginia, Charlottesville, VA, USA.

Funding

Validation of a Motor Fatigue Measure in Multiple SclerosisK23NS062898 · NINDS · UNIVERSITY OF VIRGINIA · PI GOLDMAN, MYLA DENISE · 2009 to 2013
$878k
NINDS NIH HHS K23 NS062898
6 · The paper itself

Abstract

objectivesEvaluate web-based patient-reported outcome (wbPRO) collection in MS subjects in terms of feasibility, reliability, adherence, and subject-perceived benefits; and quantify the impact of MS-related symptoms on perceived well-being.

methodsThirty-one subjects with MS completed wbPROs targeting MS-related symptoms over six months using a customized web portal. Demographics and clinical outcomes were collected in person at baseline and six months.

resultsApproximately 87% of subjects completed wbPROs without assistance, and wbPROs strongly correlated with standard PROs (r>0.91). All wbPROs were completed less frequently in the second three months (p<0.05). Frequent wbPRO completion was significantly correlated with higher step on the Expanded Disability Status Scale (EDSS) (p=0.026). Nearly 52% of subjects reported improved understanding of their disease, and approximately 16% wanted individualized wbPRO content. Over half (63.9%) of perceived well-being variance was explained by MS symptoms, notably depression (r

conclusionswbPRO collection was feasible and reliable. More disabled subjects had higher completion rates, yet most subjects failed requirements in the second three months. Remote monitoring has potential to improve patient-centered care and communication between patient and provider, but tailored PRO content and other innovations are needed to combat declining adherence.

Indexed as

Patient-Centered CareAdultFatigueFeasibility StudiesFemaleHumansInternetMaleMiddle AgedMonitoring, PhysiologicMultiple SclerosisPersons with DisabilitiesRemote ConsultationReproducibility of ResultsTelemedicineMultiple sclerosisPatient empowermentPatient engagement technologyPatient-provider communicationPatient-reported outcomesPersonalized medicine

Identifiers

PMID28241935
PMCPMC5331862

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.