Evidence map›Paper›PMID 34095518›Full record

ArticleInternational journal of population data science2018

Filmed Monologue Vignettes: a novel method for investigating how clinicians document consultations in electronic health records.

Simon Glew, Elizabeth M Ford, Helen Elizabeth Smith

Abstract read
In one paragraph

Article in International journal of population data science, 2018. 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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0cells of the map it votes in
0citing papers 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Simon GlewDivision of Primary Care and Public Health, Brighton and Sussex Medical School, Brighton, UK.
Elizabeth M FordDivision of Primary Care and Public Health, Brighton and Sussex Medical School, Brighton, UK.
Helen Elizabeth SmithDivision of Primary Care and Public Health, Brighton and Sussex Medical School, Brighton, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

INTRODUCTION AND

objectivesThe accuracy of conclusions from research based on Electronic Healthcare Records (EHRs) is highly dependent on the correct selection of descriptors (codes) by users, but few methods exist for examining quality and drivers of documentation. We aimed to evaluate the feasibility and acceptability of filmed vignette monologues as a resource-light method of assessing and comparing how different EHR users record the same clinical scenario.

methodsSix short monologues portraying simulated patients presenting allergic conditions to their General Practitioners were filmed head-on then electronically distributed for the study; no researcher was present during data collection. The method was assessed by participant uptake, reported ease of completion by participants, compliance with instructions, the receipt of interpretable data by researchers, and participant perceptions of vignette quality, realism and information content.

resultsTwenty-two participants completed the study, reporting only minor difficulties. 132 screenshots were returned electronically, enabling analysis of codes, free text and EHR features. Participants assigned a quality rating of 7.7/10 (range 2-10) to the vignettes and rated the extent to which vignettes reflected real-life at 93% (range 86-100%). Between 1 and 2 hours were required to complete the task. Full compliance with instructions varied between participants, but was largely successful.

conclusionsFilmed monologues are a reproducible, standardized method, which require relatively few resources, yet allow clear assessment of clinicians' and EHRs systems' impact on documentation. The novel nature of this method necessitates clear instructions, so participants can fully complete the study without face-to-face researcher supervision.

Identifiers

PMID34095518
PMCPMC8142957

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