Digitized and structured informed patient consent before contrast-enhanced computed tomography: feasibility and benefits in clinical routine.

Electronic medical records Greenhouse gases Helical computed tomography Informed consent document Personalized medicine

Journal

Insights into imaging
ISSN: 1869-4101
Titre abrégé: Insights Imaging
Pays: Germany
ID NLM: 101532453

Informations de publication

Date de publication:
11 Oct 2022
Historique:
received: 04 08 2022
accepted: 24 09 2022
entrez: 11 10 2022
pubmed: 12 10 2022
medline: 12 10 2022
Statut: epublish

Résumé

To evaluate the feasibility and benefits of digitized informed patient consent (D-IPC) for contrast-enhanced CT and compare digitized documentation with paper-based, conventional patient records (C-PR). We offered D-IPC to 2016 patients scheduled for a CT. We assessed patient history (e.g., CT examinations, malignant or cardiovascular diseases) and contraindications (red flags) for a CT (e.g., thyroid hyperfunction, allergies) using a tablet device. We evaluated the success rate of D-IPC and compared patient age between the subgroups of patients who were able or unable to complete D-IPC. We analyzed the prevalence of marked questions and red flags (RF). RF were compared with the documentation from C-PR. We estimated greenhouse gas (GHG) emissions for paperless workflow and provide a cost-benefit analysis. Overall, 84.4% of patients completed D-IPC. They were younger (median 61 years) than unsuccessful patients (65 years; p < 0.001). Patients who marked questions (21.7%) were older than patients without inquiries (median 63.9 vs 59.5 years; p < 0.001). The most prevalent RF was thyroid disease (23.8%). RF were considered critical for contrast-agent injection in 13.7%, requiring personalized preparation. The detection rate for RF documented with D-IPC was higher than for C-PR (n = 385 vs. 43). GHG emissions for tablet production are 80-90 times higher than for paper production. The estimated costs were slightly higher for D-IPC (+ 8.7%). D-IPC is feasible, but patient age is a relevant factor. Marked questions and RF help personalize IPC. The availability of patient history by D-IPC was superior compared to C-PR.

Sections du résumé

BACKGROUND BACKGROUND
To evaluate the feasibility and benefits of digitized informed patient consent (D-IPC) for contrast-enhanced CT and compare digitized documentation with paper-based, conventional patient records (C-PR).
METHODS METHODS
We offered D-IPC to 2016 patients scheduled for a CT. We assessed patient history (e.g., CT examinations, malignant or cardiovascular diseases) and contraindications (red flags) for a CT (e.g., thyroid hyperfunction, allergies) using a tablet device. We evaluated the success rate of D-IPC and compared patient age between the subgroups of patients who were able or unable to complete D-IPC. We analyzed the prevalence of marked questions and red flags (RF). RF were compared with the documentation from C-PR. We estimated greenhouse gas (GHG) emissions for paperless workflow and provide a cost-benefit analysis.
RESULTS RESULTS
Overall, 84.4% of patients completed D-IPC. They were younger (median 61 years) than unsuccessful patients (65 years; p < 0.001). Patients who marked questions (21.7%) were older than patients without inquiries (median 63.9 vs 59.5 years; p < 0.001). The most prevalent RF was thyroid disease (23.8%). RF were considered critical for contrast-agent injection in 13.7%, requiring personalized preparation. The detection rate for RF documented with D-IPC was higher than for C-PR (n = 385 vs. 43). GHG emissions for tablet production are 80-90 times higher than for paper production. The estimated costs were slightly higher for D-IPC (+ 8.7%).
CONCLUSION CONCLUSIONS
D-IPC is feasible, but patient age is a relevant factor. Marked questions and RF help personalize IPC. The availability of patient history by D-IPC was superior compared to C-PR.

Identifiants

pubmed: 36219277
doi: 10.1186/s13244-022-01304-6
pii: 10.1186/s13244-022-01304-6
pmc: PMC9554108
doi:

Types de publication

Journal Article

Langues

eng

Pagination

164

Subventions

Organisme : Bundesministerium für Wirtschaft und Energie
ID : (iQCT
Organisme : Bundesministerium für Wirtschaft und Energie
ID : MED-1810-0020

Informations de copyright

© 2022. The Author(s).

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Auteurs

Markus Kopp (M)

Departement of Radiology, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, 91054, Erlangen, Germany. Markus.kopp@uk-erlangen.de.

Jan Peter Roth (JP)

Departement of Radiology, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, 91054, Erlangen, Germany.

Frederik Geisler (F)

Departement of Radiology, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, 91054, Erlangen, Germany.

Sascha Daniel (S)

Departement of Radiology, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, 91054, Erlangen, Germany.

Theresa Ruettinger (T)

Departement of Radiology, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, 91054, Erlangen, Germany.

Christoph Treutlein (C)

Departement of Radiology, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, 91054, Erlangen, Germany.

Eva L Balbach (EL)

Departement of Radiology, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, 91054, Erlangen, Germany.

Rafael Heiss (R)

Departement of Radiology, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, 91054, Erlangen, Germany.

Matthias Wetzl (M)

Departement of Radiology, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, 91054, Erlangen, Germany.

Nouhayla El Amrani (N)

Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany.
Grenoble Alpes University, Grenoble, France.

Alexander Cavallaro (A)

Departement of Radiology, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, 91054, Erlangen, Germany.
Imaging Science Institute, University Hospital Erlangen, Erlangen, Germany.

Michael Uder (M)

Departement of Radiology, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, 91054, Erlangen, Germany.
Imaging Science Institute, University Hospital Erlangen, Erlangen, Germany.

Matthias S May (MS)

Departement of Radiology, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, 91054, Erlangen, Germany.
Imaging Science Institute, University Hospital Erlangen, Erlangen, Germany.

Classifications MeSH