Trial reportBMC medical informatics and decision making2008
Prospective, randomized evaluation of a personal digital assistant-based research tool in the emergency department.
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.
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.
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.
Who cites it
7 citing papers in PubMed.
- Enhancing neurosurgical navigation operation flow management through personal digital assistant technology: a prospective cohort study.Frontiers in public health · 2024Article
- Experiences with a PDA-based documentation system in clinical research.Journal of medical systems · 2012Article
- Time Capture Tool (TimeCaT): development of a comprehensive application to support data capture for Time Motion Studies.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2012Article
- Development and use of a web-based data management system for a randomized clinical trial of adolescents and young adults.Computers, informatics, nursing : CIN · 2011Article
- 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 · 2011Article
- [Scientific basis for using personal digital assistants (PDA) in medical practice].Atencion primaria · 2009Article
- The use of count data models in biomedical informatics evaluation research.Journal of the American Medical Informatics Association : JAMIAArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
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
Identifiers
What OpenQuestion holds
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.