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

INTRODUCTION AND OBJECTIVES: The 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 feasib...

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Autores principales: Glew, Simon, Ford, Elizabeth M, Smith, Helen Elizabeth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Swansea University 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8142957/
https://www.ncbi.nlm.nih.gov/pubmed/34095518
http://dx.doi.org/10.23889/ijpds.v3i1.430
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author Glew, Simon
Ford, Elizabeth M
Smith, Helen Elizabeth
author_facet Glew, Simon
Ford, Elizabeth M
Smith, Helen Elizabeth
author_sort Glew, Simon
collection PubMed
description INTRODUCTION AND OBJECTIVES: The 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. METHODS: Six 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. RESULTS: Twenty-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. CONCLUSIONS: Filmed 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
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spelling pubmed-81429572021-06-04 Filmed Monologue Vignettes: a novel method for investigating how clinicians document consultations in electronic health records Glew, Simon Ford, Elizabeth M Smith, Helen Elizabeth Int J Popul Data Sci Population Data Science INTRODUCTION AND OBJECTIVES: The 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. METHODS: Six 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. RESULTS: Twenty-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. CONCLUSIONS: Filmed 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 Swansea University 2018-11-14 /pmc/articles/PMC8142957/ /pubmed/34095518 http://dx.doi.org/10.23889/ijpds.v3i1.430 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License.
spellingShingle Population Data Science
Glew, Simon
Ford, Elizabeth M
Smith, Helen Elizabeth
Filmed Monologue Vignettes: a novel method for investigating how clinicians document consultations in electronic health records
title Filmed Monologue Vignettes: a novel method for investigating how clinicians document consultations in electronic health records
title_full Filmed Monologue Vignettes: a novel method for investigating how clinicians document consultations in electronic health records
title_fullStr Filmed Monologue Vignettes: a novel method for investigating how clinicians document consultations in electronic health records
title_full_unstemmed Filmed Monologue Vignettes: a novel method for investigating how clinicians document consultations in electronic health records
title_short Filmed Monologue Vignettes: a novel method for investigating how clinicians document consultations in electronic health records
title_sort filmed monologue vignettes: a novel method for investigating how clinicians document consultations in electronic health records
topic Population Data Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8142957/
https://www.ncbi.nlm.nih.gov/pubmed/34095518
http://dx.doi.org/10.23889/ijpds.v3i1.430
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