Evidence map›Paper›PMID 34112106›Full record

ArticleBMC emergency medicine2021

Evaluation of comprehensiveness and reliability of electronic health records concerning resuscitation efforts within academic intensive care units: a retrospective chart analysis.

Michael S Dittmar, Sabrina Zimmermann, Marcus Creutzenberg, Sylvia Bele, Diane Bitzinger, Dirk Lunz, Bernhard M Graf, Martin Kieninger

Abstract read
In one paragraph

Article in BMC emergency medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Michael S DittmarDepartment of Anesthesiology, Regensburg University Medical Center, Franz-Josef-Strauss-Allee 11, 93053, Regensburg, Germany. michael.dittmar@ukr.de.
Sabrina ZimmermannDepartment of Anesthesiology, Regensburg University Medical Center, Franz-Josef-Strauss-Allee 11, 93053, Regensburg, Germany.
Marcus CreutzenbergDepartment of Anesthesiology, Regensburg University Medical Center, Franz-Josef-Strauss-Allee 11, 93053, Regensburg, Germany.
Sylvia BeleDepartment of Neurosurgery, Regensburg University Medical Center, Franz-Josef-Strauss-Allee 11, 93053, Regensburg, Germany.
Diane BitzingerDepartment of Anesthesiology, Regensburg University Medical Center, Franz-Josef-Strauss-Allee 11, 93053, Regensburg, Germany.
Dirk LunzDepartment of Anesthesiology, Regensburg University Medical Center, Franz-Josef-Strauss-Allee 11, 93053, Regensburg, Germany.
Bernhard M GrafDepartment of Anesthesiology, Regensburg University Medical Center, Franz-Josef-Strauss-Allee 11, 93053, Regensburg, Germany.
Martin KieningerDepartment of Anesthesiology, Regensburg University Medical Center, Franz-Josef-Strauss-Allee 11, 93053, Regensburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccording to the literature, the validity and reliability of medical documentation concerning episodes of cardiopulmonary resuscitation (CPR) is suboptimal. However, little is known about documentation quality of CPR efforts during intensive care unit (ICU) stays in electronic patient data management systems (PDMS). This study analyses the reliability of CPR-related medical documentation within the ICU PDMS.

methodsIn a retrospective chart analysis, PDMS records of three ICUs of a single university hospital were searched over 5 y for CPR check marks. Respective datasets were analyzed concerning data completeness and data consistency by comparing the content of three documentation forms (physicians' log, nurses' log, and CPR incident form), as well as physiological and therapeutic information of individual cases, for missing data and plausibility of CPR starting time and duration. To compare data reliability and completeness, a quantitative measure, the Consentaneity Index (CI), is proposed.

resultsOne hundred sixty-five datasets were included into the study. In 9% (n = 15) of cases, there was neither information on the time points of CPR initiation nor on CPR duration available in any data source. Data on CPR starting time and duration were available from at least two data sources in individual cases in 54% (n = 90) and 45% (n = 74), respectively. In these cases, the specifications of CPR starting time did differ by a median ± interquartile range of 10.0 ± 18.5 min, CPR duration by 5.0 ± 17.3 min. The CI as a marker of data reliability revealed a low consistency of CPR documentation in most cases, with more favorable results, if the time interval between the CPR episode and the time of documentation was short.

conclusionsThis study reveals relevant proportions of missing and inconsistent data in electronic CPR documentation in the ICU setting. The CI is suggested as a tool for documentation quality analysis and monitoring of improvements.

Indexed as

Cardiopulmonary ResuscitationElectronic Health RecordsIntensive Care UnitsQuality of Health CareAcademic Medical CentersHumansReproducibility of ResultsRetrospective StudiesCardiopulmonary resuscitationIntensive care unitMedical documentationPatient data management systemsQuality management

Identifiers

PMID34112106
PMCPMC8194046

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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.