Evidence map›Paper›PMID 31429420›Full record

ArticleJMIR mHealth and uHealth2019

Analysis of Digital Documentation Speed and Sequence Using Digital Paper and Pen Technology During the Refugee Crisis in Europe: Content Analysis.

Kai Kehe, Roland Girgensohn, Walter Swoboda, Dan Bieler, Axel Franke, Matthias Helm, Martin Kulla, Kerstin Luepke, Thomas Morwinsky, Markus Blätzinger and 1 more

Abstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

11 authors.

Kai KeheDepartment F, Bundeswehr Medical Academy, Munich, Germany.ORCID 0000-0003-3253-857X
Roland GirgensohnDepartment E, Bundeswehr Medical Academy, Munich, Germany.ORCID 0000-0002-8504-0276
Walter SwobodaUniversity of Applied Science Neu-Ulm, Neu-Ulm, Germany.ORCID 0000-0002-3836-311X
Dan BielerDepartment of Trauma Surgery and Orthopaedics, Reconstructive Surgery, Hand Surgery, Burn Medicine, German Armed Forces Central Hospital Koblenz, Koblenz, Germany.ORCID 0000-0002-0708-1259
Axel FrankeDepartment of Trauma Surgery and Orthopaedics, Reconstructive Surgery, Hand Surgery, Burn Medicine, German Armed Forces Central Hospital Koblenz, Koblenz, Germany.ORCID 0000-0002-5460-5377
Matthias HelmDepartment of Anaesthesiology, Intensive Care, Emergency Medicine and Pain Medicine, German Armed Forces Hospital, Ulm, Germany.ORCID 0000-0002-3376-6155
Martin KullaDepartment of Anaesthesiology, Intensive Care, Emergency Medicine and Pain Medicine, German Armed Forces Hospital, Ulm, Germany.ORCID 0000-0001-7454-0876
Kerstin LuepkeDepartment VI-2.2, Bundeswehr Medical Service Headquarters, Munich, Germany.ORCID 0000-0002-4942-7107
Thomas MorwinskyDepartment VI-2.2, Bundeswehr Medical Service Headquarters, Munich, Germany.ORCID 0000-0002-8131-4399
Markus BlätzingerAkademie der Unfallchirurgie, Munich, Germany.ORCID 0000-0001-7130-3816
Katalyn RossmannDepartment VI-2.2, Bundeswehr Medical Service Headquarters, Munich, Germany.ORCID 0000-0002-8385-0048

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Syria crisis has forced more than 4 million people to leave their homeland. As a result, in 2016, an overwhelming number of refugees reached Germany. In response to this, it was of utmost importance to set up refugee camps and to provide humanitarian aid, but a health surveillance system was also implemented in order to obtain rapid information about emerging diseases.

objectiveThe present study describes the effects of using digital paper and pen (DPP) technology on the speed, sequence, and behavior of epidemiological documentation in a refugee camp.

methodsDPP technology was used to examine documentation speed, sequence, and behavior. The data log of the digital pens used to fill in the documentation was analyzed, and each pen stroke in a field was recorded using a timestamp. Documentation time was the difference between first and last stroke on the paper, which includes clinical examination and translation.

resultsFor three months, 495 data sets were recorded. After corrections had been made, 421 data sets were considered valid and subjected to further analysis. The median documentation time was 41:41 min (interquartile range 29:54 min; mean 45:02 min; SD 22:28 min). The documentation of vital signs ended up having the strongest effect on the overall time of documentation. Furthermore, filling in the free-text field clinical findings or therapy or measures required the most time (mean 16:49 min; SD 20:32 min). Analysis of the documentation sequence revealed that the final step of coding the diagnosis was a time-consuming step that took place once the form had been completed.

conclusionsWe concluded that medical documentation using DPP technology leads to both an increase in documentation speed and data quality through the compliance of the data recorders who regard the tool to be convenient in everyday routine. Further analysis of more data sets will allow optimization of the documentation form used. Thus, DPP technology is an effective tool for the medical documentation process in refugee camps.

Indexed as

Time FactorsDocumentationGermanyHumansRefugee CampsRefugeesSyriadigital documentationdigital paperdigital penepidemiologyEuropeGermanyrefugee camprefugee crisis

Identifiers

PMID31429420
PMCPMC6718088

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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.