Literature DB >> 27270785

Comparison of minute distribution frequency for anesthesia start and end times from an anesthesia information management system and paper records.

Michael Phelps1, Asad Latif2, Robert Thomsen1, Martin Slodzinski1, Rahul Raghavan1, Sharon Leigh Paul1, Jerry Stonemetz3.   

Abstract

Use of an anesthesia information management system (AIMS) has been reported to improve accuracy of recorded information. We tested the hypothesis that analyzing the distribution of times charted on paper and computerized records could reveal possible rounding errors, and that this effect could be modulated by differences in the user interface for documenting certain event times with an AIMS. We compared the frequency distribution of start and end times for anesthesia cases completed with paper records and an AIMS. Paper anesthesia records had significantly more times ending with "0" and "5" compared to those from the AIMS (p < 0.001). For case start times, AIMS still exhibited end-digit preference, with times whose last digits had significantly higher frequencies of "0" and "5" than other integers. This effect, however, was attenuated compared to that for paper anesthesia records. For case end times, the distribution of minutes recorded with AIMS was almost evenly distributed, unlike those from paper records that still showed significant end-digit preference. The accuracy of anesthesia case start times and case end times, as inferred by statistical analysis of the distribution of the times, is enhanced with the use of an AIMS. Furthermore, the differences in AIMS user interface for documenting case start and case end times likely affects the degree of end-digit preference, and likely accuracy, of those times.

Keywords:  Anesthesia information management system; Anesthesia times; End-digit preference

Mesh:

Year:  2016        PMID: 27270785     DOI: 10.1007/s10877-016-9893-x

Source DB:  PubMed          Journal:  J Clin Monit Comput        ISSN: 1387-1307            Impact factor:   2.502


  12 in total

Review 1.  Anesthesia information management systems: past, present, and future of anesthesia records.

Authors:  Bassam Kadry; William W Feaster; Alex Macario; Jesse M Ehrenfeld
Journal:  Mt Sinai J Med       Date:  2012 Jan-Feb

Review 2.  A Narrative Review of Meaningful Use and Anesthesia Information Management Systems.

Authors:  Jorge A Gálvez; Brian S Rothman; Christine A Doyle; Sherry Morgan; Allan F Simpao; Mohamed A Rehman
Journal:  Anesth Analg       Date:  2015-09       Impact factor: 5.108

3.  Automated documentation error detection and notification improves anesthesia billing performance.

Authors:  Stephen F Spring; Warren S Sandberg; Shaji Anupama; John L Walsh; William D Driscoll; Douglas E Raines
Journal:  Anesthesiology       Date:  2007-01       Impact factor: 7.892

4.  Electronic reminders improve procedure documentation compliance and professional fee reimbursement.

Authors:  Sachin Kheterpal; Ruchika Gupta; James M Blum; Kevin K Tremper; Michael O'Reilly; Paul E Kazanjian
Journal:  Anesth Analg       Date:  2007-03       Impact factor: 5.108

5.  ESCAPE-ancillary blood pressure measurement study: end-digit preference in blood pressure measurement within a cluster-randomized trial.

Authors:  Jean-Pierre Lebeau; Denis Pouchain; Dominique Huas; Franck Wilmart; Clarisse Dibao-Dina; Florent Boutitie
Journal:  Blood Press Monit       Date:  2011-04       Impact factor: 1.444

6.  Comparing two anesthesia information management system user interfaces: a usability evaluation.

Authors:  Jonathan P Wanderer; Anoop V Rao; Sarah H Rothwell; Jesse M Ehrenfeld
Journal:  Can J Anaesth       Date:  2012-10-05       Impact factor: 5.063

7.  The anesthetic record: accuracy and completeness.

Authors:  J H Devitt; T Rapanos; M Kurrek; M M Cohen; M Shaw
Journal:  Can J Anaesth       Date:  1999-02       Impact factor: 5.063

8.  The impact of a computerised whiteboard system on digit preference bias in the recording of emergency department process times.

Authors:  Sarah L Keep; Thomas E Locker
Journal:  Eur J Emerg Med       Date:  2012-06       Impact factor: 2.799

Review 9.  Replacing manual sphygmomanometers with automated blood pressure measurement in routine clinical practice.

Authors:  Martin G Myers
Journal:  Clin Exp Pharmacol Physiol       Date:  2014-01       Impact factor: 2.557

10.  Digit preference bias in the recording of emergency department times.

Authors:  Thomas E Locker; Suzanne M Mason
Journal:  Eur J Emerg Med       Date:  2006-04       Impact factor: 2.799

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  3 in total

1.  A retrospective evaluation of the risk of bias in perioperative temperature metrics.

Authors:  Robert E Freundlich; Sara E Nelson; Yuxuan Qiu; Jesse M Ehrenfeld; Warren S Sandberg; Jonathan P Wanderer
Journal:  J Clin Monit Comput       Date:  2018-12-08       Impact factor: 2.502

Review 2.  Journal of clinical monitoring and computing 2017 end of year summary: anesthesia.

Authors:  Jan F A Hendrickx; Andre M De Wolf; Stanley Skinner
Journal:  J Clin Monit Comput       Date:  2018-02-24       Impact factor: 2.502

Review 3.  Timing errors and temporal uncertainty in clinical databases-A narrative review.

Authors:  Andrew J Goodwin; Danny Eytan; William Dixon; Sebastian D Goodfellow; Zakary Doherty; Robert W Greer; Alistair McEwan; Mark Tracy; Peter C Laussen; Azadeh Assadi; Mjaye Mazwi
Journal:  Front Digit Health       Date:  2022-08-18
  3 in total

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