Evidence map›Paper›PMID 33244621›Full record

ReviewCurrent rheumatology reports2020

Self-Management of Rheumatoid Arthritis: Mobile Applications.

Elizabeth Mollard, Kaleb Michaud

Registry-linked trialAbstract readReview
PubMed Publisher
In one paragraph

Review in Current rheumatology reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05863338 (The Effect of Nursing Follow-Up by Phone on the Self-Efficacy, Pain and Disease Activity Level of Individuals Diagnosed With Rheumatoid Arthritis Using Biological Agents), which is not on this map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
5.7field-weighted citation impact, top 4% 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.

NCT05863338 nacompletednot on this map

The Effect of Nursing Follow-Up by Phone on the Self-Efficacy, Pain and Disease Activity Level of Individuals Diagnosed With Rheumatoid Arthritis Using Biological Agents

TypeinterventionalSponsorCumhuriyet UniversityRan2020 to 2021Enrolled64ConditionsTele-nursingArmsNURSING FOLLOW-UP BY PHONE
3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 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

2 authors at 2 institutions in 1 country.

Elizabeth MollardUniversity of Nebraska Medical Center, 550 N. 19th Street, #357, Lincoln, NE, 68508-0620, USA.ORCID 0000-0003-0221-3459
Kaleb Michaud986270 Nebraska Medical Center, University of Nebraska Medical Center, Omaha, NE, 68198-6270, USA. kmichaud@unmc.edu.ORCID 0000-0002-5350-3934
Nebraska Medical Center · USUniversity of Nebraska Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewTo review the self-management of rheumatoid arthritis (RA) using mobile applications. RECENT

findingsRecent research supports that self-management not only can be an empowering behavior for an individual but also has been shown to improve health outcomes in RA. Mobile health applications are growing in popularity and adoption. Emerging evidence supports that using a mobile application for RA self-management may reduce disease activity and improve health outcomes. This review discusses mobile applications designed to improve self-management of RA as well as applications not specific to RA that also may be useful for self-management in this population. Future research should focus on the efficacy of mobile apps for health outcomes and ways to improve the adoption of and adherence to mobile apps in individuals with RA.

Indexed as

Arthritis, RheumatoidMobile ApplicationsSelf-ManagementTelemedicineHumansIncentivizationmHealthMobile applicationRheumatoid arthritisSelf-managementSmartphone

Identifiers

PMID33244621
OpenAlexW3107484543

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.