Evidence map›Paper›PMID 30554434›Full record

ArticleJournal of clinical nursing2019

A new approach of assessing patient safety aspects in routine practice using the example of "doctors handwritten prescriptions".

Gerald Sendlhofer, Gudrun Pregartner, Veronika Gombotz, Karina Leitgeb, Peter Tiefenbacher, Lydia Jantscher, Christian Richter, Magdalena Hoffmann, Lars P Kamolz, Gernot Brunner

Abstract read
In one paragraph

Article in Journal of clinical nursing, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

10 authors.

Gerald SendlhoferResearch Unit for Safety in Health, c/o Division of Plastic, Aesthetic and Reconstructive Surgery, Department of Surgery, Medical University of Graz, Graz, Austria.ORCID https://orcid.org/0000-0002-6538-3116
Gudrun PregartnerInstitute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria.
Veronika GombotzExecutive Department for Quality and Risk Management, University Hospital Graz, Graz, Austria.
Karina LeitgebExecutive Department for Quality and Risk Management, University Hospital Graz, Graz, Austria.
Peter TiefenbacherExecutive Department for Quality and Risk Management, University Hospital Graz, Graz, Austria.
Lydia JantscherExecutive Department for Quality and Risk Management, University Hospital Graz, Graz, Austria.
Christian RichterExecutive Department for Quality and Risk Management, University Hospital Graz, Graz, Austria.
Magdalena HoffmannResearch Unit for Safety in Health, c/o Division of Plastic, Aesthetic and Reconstructive Surgery, Department of Surgery, Medical University of Graz, Graz, Austria.
Lars P KamolzResearch Unit for Safety in Health, c/o Division of Plastic, Aesthetic and Reconstructive Surgery, Department of Surgery, Medical University of Graz, Graz, Austria.
Gernot BrunnerResearch Unit for Safety in Health, c/o Division of Plastic, Aesthetic and Reconstructive Surgery, Department of Surgery, Medical University of Graz, Graz, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

AIMS AND

objectivesTo test the method of self- and external assessment as a feedback system to decrease illegibility and incorrectness of handwritten prescriptions and to reduce additional workload for nursing staff.

backgroundIllegibility and incorrectness of handwritten prescriptions occur very often and are the most crucial factors affecting patient safety.

designSelf- versus external assessment using a 15 items checklist.

methodsNurses randomly selected five fever charts of their wards. Each fever chart was self- as well as externally assessed. Nurses and doctors took part in the self-assessment, and the external assessment was performed by external experts. According to a monitor suspension system, assessment results were considered "green," "yellow" or "red." After the first assessment and issuing feedback of the results "red" scored wards by the external assessment, additional trainings were performed. Thereafter, a second assessment was performed to rate eligibility and completeness of prescriptions. The research and reporting methodology followed squire 2.0.

resultsIn total, 580 fever charts were self- as well as externally assessed (290 in each of the two assessment periods). Out of the 58 participating wards, 31 were surgical and 27 were non-surgical wards. Averaging over all checklist items, surgical and non-surgical wards improved only slightly over time. Linear regression models for ward means showed that there were significant improvements over time for non-surgical wards.

conclusionsThis method directly involves those who commit errors and stimulate learning from errors. The approach of self- and external assessment was a useful instrument to detect inadequate prescriptions and to monitor improvements. RELEVANCE TO CLINICAL PRACTICE: Significant improvements were achieved regarding correctness and legibility of handwritten prescription and helped to decrease additional workload for nursing staff and thereby enhanced patient safety.

Indexed as

ChecklistHandwritingHumansLinear ModelsMedication ErrorsPatient SafetyPractice Patterns, Physicians'Quality ImprovementSelf-Assessmentassessmentcompliancegeneral practicemedication errorpatient safetyquality and safety

Identifiers

PMID30554434
PMCPMC7328776

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Registered trials

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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.