Evidence map›Paper›PMID 18205902›Full record

Trial reportBMC medical informatics and decision making2008

Prospective, randomized evaluation of a personal digital assistant-based research tool in the emergency department.

Morris L Rivera, Jason Donnelly, Blair A Parry, Anthony Dinizio, Charles L Johnson, Jeffrey A Kline, Christopher Kabrhel

Abstract readComparative StudyRandomized Controlled Trial
In one paragraph

Trial report in BMC medical informatics and decision making, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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.

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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Orbital fracture clinical decision rule development: burden of disease and use of a mandatory electronic survey instrument.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2011
    Article
  6. Article
  7. The use of count data models in biomedical informatics evaluation research.Journal of the American Medical Informatics Association : JAMIA
    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

7 authors.

Morris L RiveraDept. of Emergency Medicine, Hilo Medical Center, Hilo, HI, USA. moispo1@hotmail.com
Jason Donnelly
Blair A Parry
Anthony Dinizio
Charles L Johnson
Jeffrey A Kline
Christopher Kabrhel

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPersonal digital assistants (PDA) offer putative advantages over paper for collecting research data. However, there are no data prospectively comparing PDA and paper in the emergency department. The aim of this study was to prospectively compare the performance of PDA and paper enrollment instruments with respect to time required and errors generated.

methodsWe randomized consecutive patients enrolled in an ongoing prospective study to having their data recorded either on a PDA or a paper data collection instrument. For each method, we recorded the total time required for enrollment, and the time required for manual transcription (paper) onto a computer database. We compared data error rates by examining missing data, nonsensical data, and errors made during the transcription of paper forms. Statistical comparisons were performed by Kruskal-Wallis and Poisson regression analyses for time and errors, respectively.

resultsWe enrolled 68 patients (37 PDA, 31 paper). Two of 31 paper forms were not available for analysis. Total data gathering times, inclusive of transcription, were significantly less for PDA (6:13 min per patient) compared to paper (9:12 min per patient; p < 0.001). There were a total of 0.9 missing and nonsense errors per paper form compared to 0.2 errors per PDA form (p < 0.001). An additional 0.7 errors per paper form were generated during transcription. In total, there were 1.6 errors per paper form and 0.2 errors per PDA form (p < 0.001).

conclusionUsing a PDA-based data collection instrument for clinical research reduces the time required for data gathering and significantly improves data integrity.

Indexed as

Computers, HandheldMedical AuditMedical Records Systems, ComputerizedPaperBiomedical ResearchBostonEmergency Service, HospitalHospital Information SystemsHospitals, GeneralHumansPoisson DistributionQuality ControlResearch DesignTechnology Assessment, BiomedicalTime and Motion StudiesUser-Computer Interface

Identifiers

PMID18205902
PMCPMC2245927

What OpenQuestion holds

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LicenceCC BY
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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.