Creating patient-centered radiology reports to empower patients undergoing prostate magnetic resonance imaging.


Journal

Canadian Urological Association journal = Journal de l'Association des urologues du Canada
ISSN: 1911-6470
Titre abrégé: Can Urol Assoc J
Pays: Canada
ID NLM: 101312644

Informations de publication

Date de publication:
Apr 2021
Historique:
pubmed: 3 10 2020
medline: 3 10 2020
entrez: 2 10 2020
Statut: ppublish

Résumé

As we progress to an era when patient autonomy and shared decision-making are highly valued, there is a need to also have effective patient-centered communication tools. Radiology reports are designed for clinicians and can be very technical and difficult for patients to understand. It is important for patients to understand their magnetic resonance imaging (MRI) report in order to make an informed treatment decision with their physician. Therefore, we aimed to create a patient-centered prostate MRI report to give our patients a better understanding of their clinical condition. A prototype patient-centered radiology report (PACERR) was created by identifying items to include based on opinions sought from a group of patients undergoing prostate MRI and medical experts. Data was collected in semi-structured interviews using a salient belief question. A prototype PACERR was created in collaboration with human factors engineering and design, medical imaging, biomedical informatics, and cancer patient education groups. Fifteen patients and eight experts from urology, radiation oncology, radiology, and nursing participated in this study. Patients were particularly interested to have a report with laymen terms, concise language, contextualization of values, definitions of medical terms, and next course of action. Everyone believed the report should include the risk of MRI findings actually being cancer in the subsequent biopsy. A prostate MRI PACERR has been developed to communicate the most important findings relevant to decision-making in prostate cancer using patient-oriented design principles. The ability of this tool to improve patient knowledge and communication will be explored.

Identifiants

pubmed: 33007175
pii: cuaj.6585
doi: 10.5489/cuaj.6585
pmc: PMC8021434
doi:

Types de publication

Journal Article

Langues

eng

Pagination

108-113

Références

N Engl J Med. 2012 Mar 1;366(9):780-1
pubmed: 22375967
J Am Coll Radiol. 2014 Sep;11(9):863-7
pubmed: 24836272
Curr Opin Urol. 2012 Jul;22(4):310-5
pubmed: 22617060
BMJ Open. 2013 Jan 03;3(1):
pubmed: 23293244
J Gen Intern Med. 2019 Apr;34(4):544-551
pubmed: 30684202
Radiology. 2009 May;251(2):313-6
pubmed: 19401567
AMIA Annu Symp Proc. 2007 Oct 11;:399-403
pubmed: 18693866
J Am Med Inform Assoc. 2013 Nov-Dec;20(6):1028-36
pubmed: 23739614
J Digit Imaging. 2016 Aug;29(4):450-4
pubmed: 26856348
J Cancer Educ. 2014 Jun;29(2):304-10
pubmed: 24420003
J Urol. 2016 Nov;196(5):1383-1389
pubmed: 27211289
Am J Health Behav. 2007 Sep-Oct;31 Suppl 1:S96-104
pubmed: 17931143

Auteurs

Nathan Perlis (N)

Department of Surgery, Division of Urology, University Health Network, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada.

Antonio Finelli (A)

Department of Surgery, Division of Urology, University Health Network, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada.

Mike Lovas (M)

Healthcare Human Factors, University Health Network, University of Toronto, Toronto, ON, Canada.

Alejandro Berlin (A)

Radiation Medicine Program, University Health Network, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada.

Janet Papadakos (J)

Cancer Health Literacy Research Centre, Princess Margaret Cancer Centre, Patient Education, Cancer Care Ontario; Institute for Health Policy, Management & Evaluation, University of Toronto, Toronto, ON, Canada.

Sangeet Ghai (S)

Joint Department of Medical Imaging, University Health Network, University of Toronto, Toronto, ON, Canada.

Vasiliki Bakas (V)

Operations, myUHN Portal, University Health Network, University of Toronto, Toronto, ON, Canada.

Shabbir Alibhai (S)

Division of General Internal Medicine and Geriatrics, University Health Network, University of Toronto, Toronto, ON, Canada.

Odelia Lee (O)

Healthcare Human Factors, University Health Network, University of Toronto, Toronto, ON, Canada.

Adam Badzynski (A)

Healthcare Human Factors, University Health Network, University of Toronto, Toronto, ON, Canada.

David Wiljer (D)

Education Technology and Innovation, University Health Network, University of Toronto, Toronto, ON, Canada.

Alexis Lund (A)

Department of Surgery, Division of Urology, University Health Network, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada.

Amelia Di Meo (A)

Department of Surgery, Division of Urology, University Health Network, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada.

Joseph Cafazzo (J)

Centre for Global eHealth Innovation, University Health Network, Toronto General Hospital, Toronto, ON, Canada.

Masoom Haider (M)

Joint Department of Medical Imaging, Sinai Health System, University of Toronto, Toronto, ON, Canada.

Classifications MeSH