Evidence map›Paper›PMID 31188454›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2019

A smart decision: smartphone use for operative data collection in arthroscopic shoulder instability surgery.

Jill Mohr, Gregory J Strnad, Lutul Farrow, Kate Heinlein, Carolyn M Hettrich, Morgan H Jones, Anthony Miniaci, Eric Ricchetti, James Rosneck, Mark Schickendantz and 3 more

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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

13 authors at 3 institutions in 1 country.

Jill MohrCollege of Medicine, Northeast Ohio Medical University, Rootstown, Ohio, USA.
Gregory J StrnadDepartment of Orthopaedic Surgery, Cleveland Clinic, Cleveland, Ohio, USA.
Lutul FarrowSports Health, Cleveland Clinic, Cleveland, Ohio, USA.
Kate HeinleinSports Health, Cleveland Clinic, Cleveland, Ohio, USA.
Carolyn M HettrichSports Medicine, University of Kentucky, Lexington, Kentucky, USA.
Morgan H JonesSports Health, Cleveland Clinic, Cleveland, Ohio, USA.
Anthony MiniaciSports Health, Cleveland Clinic, Cleveland, Ohio, USA.
Eric RicchettiSports Health, Cleveland Clinic, Cleveland, Ohio, USA.
James RosneckSports Health, Cleveland Clinic, Cleveland, Ohio, USA.
Mark SchickendantzSports Health, Cleveland Clinic, Cleveland, Ohio, USA.
Paul SaluanSports Health, Cleveland Clinic, Cleveland, Ohio, USA.
Jose F VegaCleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, Ohio, USA.
Kurt P SpindlerSports Health, Cleveland Clinic, Cleveland, Ohio, USA.
Cleveland Clinic · USNortheast Ohio Medical University · USUniversity of Kentucky · US

Funding

Meniscus status and activity level after ACLK23AR066133 · NIAMS · CLEVELAND CLINIC LERNER COM-CWRU · PI JONES, MORGAN HERANCOURT · 2015 to 2019
$745k
NIAMS NIH HHS K23 AR066133
6 · The paper itself

Abstract

objectiveThis study tested validity, accuracy, and efficiency of the Orthopaedic Minimal Data Set Episode of Care (OME) compared with traditional operative report in arthroscopic surgery for shoulder instability. As of November 2017, OME had successfully captured baseline data on 97% of 18 700 eligible cases. MATERIALS AND

methodsThis study analyzes 100 cases entered into OME through smartphones by 12 surgeons at an institution from February to October 2015. A blinded reviewer extracted the same variables from operative report into a separate database. Completion rates and agreement were compared. They were assessed using raw percentages and McNemar's test (with continuity correction). Agreement between nominal variables was assessed by unweighted Cohen's kappa and a concordance correlation coefficient measured agreement between continuous variables. Efficiency was assessed by median time to complete.

resultsOf 37 variables, OME demonstrated equal or higher completion rates for all but 1 and had significantly higher capture rates for 49% (n = 18; P < .05). Of 33 nominal variables, raw proportional agreement was ≥0.90 for 76% (n = 25). Raw proportional agreement was perfect for 15% (n = 5); no agreement statistic could be calculated due to a single variable in operative note and OME. Calculated agreement statistic was substantial or better (κ > 0.61) for 51% (n = 17) for the 33 nominal variables. All continuous variables assessed (n = 4) demonstrated poor agreement (concordance correlation coefficient <0.90). Median time for completing OME was 103.5 (interquartile range, 80.5-151) seconds.

conclusionsThe OME smartphone data capture system routinely captured more data than operative report and demonstrated acceptable agreement for nearly all nominal variables, yet took <2 minutes to complete on average.

Indexed as

ArthroscopySmartphoneDatabases, FactualData CollectionHumansJoint InstabilityMuscle, SkeletalReproducibility of ResultsShoulder InjuriesShoulder Jointelectronic medical recordinformation standardizationoutcomesshoulder instabilitysmartphone

Identifiers

PMID31188454
PMCPMC6748799
OpenAlexW2949859024

What OpenQuestion holds

Textmetadata
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.