Evidence map›Paper›PMID 29091492›Full record

ArticleHand (New York, N.Y.)2017

Delivery of Patient-Reported Outcome Instruments by Automated Mobile Phone Text Messaging.

Christopher A Anthony, Ericka A Lawler, Natalie A Glass, Katelyn McDonald, Apurva S Shah

2 registry-linked trialsAbstract read
In one paragraph

Article in Hand (New York, N.Y.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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.

NCT03991546 nacompletednot on this map

Quantifying Pain and Narcotic Usage Following Orthopedic Surgery Using a Text-Messaging Robot

TypeinterventionalSponsorChristopher AnthonyRan2016 to 2019Enrolled82ConditionsFractures, Closed, Pain, Postoperative, Pain Catastrophizing, Pain, AcuteArmsAcceptance and Commitment Therapy Delivered via an Automated Mobile Messaging Robot
NCT04329897 nacompletednot on this mapstarted 2020, after this paper: background citation

Acceptance and Commitment Therapy Delivered by Automated Software Messaging

TypeinterventionalSponsorUniversity of IowaRan2020 to 2020Enrolled90ConditionsHip Osteoarthritis, Knee Osteoarthritis, Mental Stress, CoronavirusArmsSoftware Messaging
3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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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.

Christopher A Anthony1 University of Iowa Hospitals & Clinics, Iowa City, USA.
Ericka A Lawler1 University of Iowa Hospitals & Clinics, Iowa City, USA.
Natalie A Glass1 University of Iowa Hospitals & Clinics, Iowa City, USA.
Katelyn McDonald1 University of Iowa Hospitals & Clinics, Iowa City, USA.
Apurva S Shah2 The Children's Hospital of Philadelphia, PA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatient-reported outcome (PRO) instruments allow patients to interpret their health and are integral in evaluating orthopedic treatments and outcomes. The purpose of this study was to define: (1) correlation between PROs collected by automated delivery of text messages on mobile phones compared with paper delivery; and (2) patient use characteristics of a technology platform utilizing automated delivery of text messages on mobile phones.

methodsPaper versions of the 12-Item Short Form Health Survey (SF-12) and the short form of the Disabilities of the Arm, Shoulder and Hand (QuickDASH) were completed by patients in orthopedic hand and upper extremity clinics. Over the next 48 hours, the same patients also completed the mobile phone portion of the study outside of the clinic which included text message delivery of the SF-12 and QuickDASH, assigned in a random order. Correlations between paper and text message delivery of the 2 PROs were assessed.

resultsAmong 72 patients, the intraclass correlation coefficient (ICC) between the written and mobile phone delivery of QuickDASH was 0.91 (95% confidence interval [CI], 0.85-0.95). The ICC between the paper and mobile phone delivery of the SF-12 physical health composite score was 0.88 (95% CI, 0.79-0.93) and 0.86 (95% CI, 0.75-0.92) for the SF-12 mental health composite score.

conclusionsWe find that text message delivery using mobile phones permits valid assessment of SF-12 and QuickDASH scores. The findings suggest that software-driven automated delivery of text communication to patients via mobile phones may be a valid method to obtain other PRO scores in orthopedic patients.

Indexed as

Cell PhonePatient Reported Outcome MeasuresText MessagingAdolescentAdultAgedDisability EvaluationFemaleHumansMaleMiddle AgedSoftwareSurveys and QuestionnairesYoung Adultmobile phoneoutcomesQuickDASHSF-12text message

Identifiers

PMID29091492
PMCPMC5669321

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.