Evidence map›Paper›PMID 31206063›Full record

ArticleBMJ open quality2019

Limited external reproducibility restricts the use of medical record review for benchmarking.

Dorthe O Klein, Roger Rennenberg, Rijk Gans, Roelien Enting, Richard Koopmans, Martin H Prins

Abstract read
In one paragraph

Article in BMJ open quality, 2019. 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

6 authors.

Dorthe O KleinDepartment of Clinical Epidemiology and Medical Technology Assessment, Maastricht UMC+, Maastricht, The Netherlands.ORCID 0000-0003-0182-9569
Roger RennenbergDepartment of Internal Medicine, Maastricht UMC+, Maastricht, The Netherlands.
Rijk GansDepartment of Internal Medicine, Universitair Medisch Centrum Groningen, Groningen, The Netherlands.
Roelien EntingDepartment of Neurology, Universitair Medisch Centrum Groningen, Groningen, The Netherlands.
Richard KoopmansDepartment of Internal Medicine, Maastricht UMC+, Maastricht, The Netherlands.
Martin H PrinsDepartment of Epidemiology, Maastricht University, Maastricht, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Medical record review (MRR) is used to assess the quality and safety in hospitals. It is increasingly used to compare institutions. Therefore, the external reproducibility should be high. In the current study, we evaluated this external reproducibility for the assessment of an adverse event (AE) in a sample of records from two university medical centres in the Netherlands, using the same review method. Methods: From both hospitals, 40 medical records were randomly chosen from patient files of deceased patients that had been evaluated in the preceding years by the internal review committees. After reviewing by the external committees, we assessed the overall and kappa agreement by comparing the results of both review rounds (once by the own internal committee and once by the external committee). This was calculated for the presence of an AE, preventability and contribution to death. Results: Kappa for the presence of AEs was moderate (k=0.47). For preventability, the agreement was fair (k=0.39) and poor for contribution to death (k=-0.109). Conclusion: We still believe that MRR is suitable for the detection of general issues concerning patient safety. However, based on the outcomes of this study, we would advise to be careful when using MRR for benchmarking.

Indexed as

Reproducibility of ResultsBenchmarkingHumansMedical RecordsNetherlandsReview Literature as Topicadverse eventexternal committeehospitalmedical record reviewPABAKreliability

Identifiers

PMID31206063
PMCPMC6542435

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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.