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Alrasheed AA, Alammar AM. Exploring Patient Preferences for Information About CT Radiation Exposure: Bridging the Gap Between Patient Preference and Physician Practice. Patient Prefer Adherence 2024; 18:1929-1938. [PMID: 39318368 PMCID: PMC11420885 DOI: 10.2147/ppa.s466115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2024] [Accepted: 09/14/2024] [Indexed: 09/26/2024] Open
Abstract
Background CT scan utilizes ionizing radiation poses a danger to the patient's health. Thus, telling the patient about ionizing radiation would be critical in promoting shared decision-making and improving patient-doctor communication. However, few studies have examined this topic broadly. Objective The study was conducted to identify the frequency of physicians informing patients about the radiation risk before ordering a CT scan, as well as to examine the association between patients' demographic characteristics and their awareness of the radiation risks associated with CT scans. Methods A cross-sectional study was conducted among 387 patients who had undergone CT scans at a tertiary hospital in Riyadh, Saudi Arabia. Data were collected via phone interviews using a structured questionnaire. Chi-squared tests were employed to assess associations between patients' demographic characteristics and their awareness of CT scan radiation risks. Results When examining knowledge, 58% of patients knew that CT involves harmful radiation. This knowledge was significantly associated with higher education level and previous experience with CT scans. Regarding doctors' practice of providing information to patients about the scan, 344 (88.9%) patients indicated that their doctor had explained to them why they needed the scan. Only 28 (7.2%) patients stated that their doctor had mentioned the amount of radiation, and 74 (19.1%) patients indicated that doctors mentioned the risks associated with the radiation of the scan. Almost all patients (96.9%) preferred to be told about why they needed a CT scan. Conclusion The vast majority of patients who underwent CT scans did not receive enough information about the harm of the scans. However, most of them preferred to know about this harm.
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Affiliation(s)
- Abdullah A Alrasheed
- Department of Family and Community Medicine, College of Medicine, King Saud University, Riyadh, Saudi Arabia
- King Saud University Medical City, King Saud University, Riyadh, Saudi Arabia
| | - Abdulrahman M Alammar
- King Saud University, King Saud University Medical City, Family and Community Medicine department, Riyadh, Saudi Arabia
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Pinto P, Valentin L, Borčinová M, Wiesnerová M, Filip F, Burgetova A, Masek M, Lambert L, Chiappa V, Franchi D, Testa AC, Moro F, Avesani G, Panico C, Alessi S, Pricolo P, Vigorito R, Calareso G, Kocian R, Slama J, Fagotti A, Urbinati AMV, Signorelli M, Bertolina F, Cibula D, Fischerova D. Patient satisfaction with ultrasound, whole-body CT and whole-body diffusion-weighted MRI for pre-operative ovarian cancer staging: a multicenter prospective cross-sectional survey. Int J Gynecol Cancer 2024; 34:871-878. [PMID: 38531539 DOI: 10.1136/ijgc-2023-005264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Accepted: 03/13/2024] [Indexed: 03/28/2024] Open
Abstract
BACKGROUND In addition to the diagnostic accuracy of imaging methods, patient-reported satisfaction with imaging methods is important. OBJECTIVE To report a secondary outcome of the prospective international multicenter Imaging Study in Advanced ovArian Cancer (ISAAC Study), detailing patients' experience with abdomino-pelvic ultrasound, whole-body contrast-enhanced computed tomography (CT), and whole-body diffusion-weighted magnetic resonance imaging (WB-DWI/MRI) for pre-operative ovarian cancer work-up. METHODS In total, 144 patients with suspected ovarian cancer at four institutions in two countries (Italy, Czech Republic) underwent ultrasound, CT, and WB-DWI/MRI for pre-operative work-up between January 2020 and November 2022. After having undergone all three examinations, the patients filled in a questionnaire evaluating their overall experience and experience in five domains: preparation before the examination, duration of examination, noise during the procedure, radiation load of CT, and surrounding space. Pain perception, examination-related patient-perceived unexpected, unpleasant, or dangerous events ('adverse events'), and preferred method were also noted. RESULTS Ultrasound was the preferred method by 49% (70/144) of responders, followed by CT (38%, 55/144), and WB-DWI/MRI (13%, 19/144) (p<0.001). The poorest experience in all domains was reported for WB-DWI/MRI, which was also associated with the largest number of patients who reported adverse events (eg, dyspnea). Patients reported higher levels of pain during the ultrasound examination than during CT and WB-DWI/MRI (p<0.001): 78% (112/144) reported no pain or mild pain, 19% (27/144) moderate pain, and 3% (5/144) reported severe pain (pain score >7 of 10) during the ultrasound examination. We did not identify any factors related to patients' preferred method. CONCLUSION Ultrasound was the imaging method preferred by most patients despite being associated with more pain during the examination in comparison with CT and WB-DWI/MRI. TRIAL REGISTRATION NUMBER NCT03808792.
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Affiliation(s)
- Patrícia Pinto
- Department of Gynecology, Portuguese Institute of Oncology of Lisbon Francisco Gentil, Lisboa, Portugal
- First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Lil Valentin
- Department of Obstetrics and Gynaecology, Skane University Hospital, Malmo, Sweden
- Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
| | - Martina Borčinová
- Gynecologic Oncology Centre, Department of Gynecology, Obstetrics and Neonatology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Markéta Wiesnerová
- Masaryk University Institute of Biostatistics and Analyses, Brno, Czech Republic
| | - Fruhauf Filip
- Gynecologic Oncology Centre, Department of Gynecology, Obstetrics and Neonatology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Andrea Burgetova
- Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Martin Masek
- Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Lukas Lambert
- Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Valentina Chiappa
- Department of Gynecologic Oncology, Foundation IRCCS National Cancer Institute, Milan, Italy
| | - Dorella Franchi
- Preventive Gynecology Unit, Division of Gynaecology, European Institute of Oncology, Milan, Italy
| | - Antonia Carla Testa
- Dipartimento Scienze della Vita e Sanità Pubblica, Università Cattolica del Sacro Cuore, Rome, Italy
- Dipartimento Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Lazio, Italy
| | - Francesca Moro
- Dipartimento Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Lazio, Italy
| | - Giacomo Avesani
- Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Lazio, Italy
| | - Camilla Panico
- Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Lazio, Italy
| | - Sarah Alessi
- Division of Radiology, Istituto Europeo di Oncologia, Milan, Italy
| | - Paola Pricolo
- Division of Radiology, Istituto Europeo di Oncologia, Milan, Italy
| | - Raffaella Vigorito
- Department of Radiology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Giuseppina Calareso
- Department of Radiology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Roman Kocian
- Gynecologic Oncology Centre, Department of Gynecology, Obstetrics and Neonatology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Jiri Slama
- Gynecologic Oncology Centre, Department of Gynecology, Obstetrics and Neonatology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Anna Fagotti
- Dipartimento Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Lazio, Italy
| | | | - Mauro Signorelli
- Department of Gynecologic Oncology, Foundation IRCCS National Cancer Institute, Milan, Italy
| | - Francesca Bertolina
- Department of Gynecologic Oncology, Foundation IRCCS National Cancer Institute, Milan, Italy
| | - David Cibula
- Gynecologic Oncology Centre, Department of Gynecology, Obstetrics and Neonatology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Daniela Fischerova
- Gynecologic Oncology Centre, Department of Gynecology, Obstetrics and Neonatology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
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Terzis R, Dratsch T, Hahnfeldt R, Basten L, Rauen P, Sonnabend K, Weiss K, Reimer R, Maintz D, Iuga AI, Bratke G. Five-minute knee MRI: An AI-based super resolution reconstruction approach for compressed sensing. A validation study on healthy volunteers. Eur J Radiol 2024; 175:111418. [PMID: 38490130 DOI: 10.1016/j.ejrad.2024.111418] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Accepted: 03/08/2024] [Indexed: 03/17/2024]
Abstract
PURPOSE To investigate the potential of combining Compressed Sensing (CS) and a newly developed AI-based super resolution reconstruction prototype consisting of a series of convolutional neural networks (CNN) for a complete five-minute 2D knee MRI protocol. METHODS In this prospective study, 20 volunteers were examined using a 3T-MRI-scanner (Ingenia Elition X, Philips). Similar to clinical practice, the protocol consists of a fat-saturated 2D-proton-density-sequence in coronal, sagittal and transversal orientation as well as a sagittal T1-weighted sequence. The sequences were acquired with two different resolutions (standard and low resolution) and the raw data reconstructed with two different reconstruction algorithms: a conventional Compressed SENSE (CS) and a new CNN-based algorithm for denoising and subsequently to interpolate and therewith increase the sharpness of the image (CS-SuperRes). Subjective image quality was evaluated by two blinded radiologists reviewing 8 criteria on a 5-point Likert scale and signal-to-noise ratio calculated as an objective parameter. RESULTS The protocol reconstructed with CS-SuperRes received higher ratings than the time-equivalent CS reconstructions, statistically significant especially for low resolution acquisitions (e.g., overall image impression: 4.3 ± 0.4 vs. 3.4 ± 0.4, p < 0.05). CS-SuperRes reconstructions for the low resolution acquisition were comparable to traditional CS reconstructions with standard resolution for all parameters, achieving a scan time reduction from 11:01 min to 4:46 min (57 %) for the complete protocol (e.g. overall image impression: 4.3 ± 0.4 vs. 4.0 ± 0.5, p < 0.05). CONCLUSION The newly-developed AI-based reconstruction algorithm CS-SuperRes allows to reduce scan time by 57% while maintaining unchanged image quality compared to the conventional CS reconstruction.
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Affiliation(s)
- Robert Terzis
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Diagnostic and Interventional Radiology, Cologne, Germany.
| | - Thomas Dratsch
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Diagnostic and Interventional Radiology, Cologne, Germany.
| | - Robert Hahnfeldt
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Diagnostic and Interventional Radiology, Cologne, Germany.
| | - Lajos Basten
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Diagnostic and Interventional Radiology, Cologne, Germany.
| | - Philip Rauen
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Diagnostic and Interventional Radiology, Cologne, Germany.
| | - Kristina Sonnabend
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Diagnostic and Interventional Radiology, Cologne, Germany; Philips GmbH Market DACH, Hamburg, Germany.
| | | | - Robert Reimer
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Diagnostic and Interventional Radiology, Cologne, Germany.
| | - David Maintz
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Diagnostic and Interventional Radiology, Cologne, Germany.
| | - Andra-Iza Iuga
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Diagnostic and Interventional Radiology, Cologne, Germany.
| | - Grischa Bratke
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Diagnostic and Interventional Radiology, Cologne, Germany.
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Paalimäki-Paakki K, Virtanen M, Henner A, Vähänikkilä H, Nieminen MT, Schroderus-Salo T, Kääriäinen M. Effects of a 360° virtual counselling environment on patient anxiety and CCTA process time: A randomised controlled trial. Radiography (Lond) 2023; 29 Suppl 1:S13-S23. [PMID: 36280541 DOI: 10.1016/j.radi.2022.09.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 09/27/2022] [Accepted: 09/30/2022] [Indexed: 11/07/2022]
Abstract
INTRODUCTION This study investigated whether a 360° virtual counselling environment (360°VCE) was more effective at decreasing patients' anxiety than routine standard of care counselling for patients undergoing coronary computed tomography angiography (CCTA), and if there was any difference in the process times for both of these groups. METHODS A total of 86 patients underwent CCTA in this randomised controlled trial. Patients were randomly assigned to intervention and control groups. The 360°VCE was developed using spherical panoramic images and non-immersive 360° technology. The primary outcome, anxiety, was measured using the State-Trait Anxiety Inventory (STAI). The secondary outcome, CCTA process time, was measured from the time of arrival in the department until end of examination. RESULTS Pre-scan anxiety was lower among patients in the 360°VCE group immediately before CCTA in comparison to patients in the control group (p = 0.015). Women demonstrated higher levels of anxiety than men in both groups. No between-group differences were discerned in CCTA process time. CONCLUSION Access to 360°VCE can reduce patients' pre-CCTA anxiety levels. IMPLICATIONS FOR PRACTICE The presented results can be used to improve patient counselling and care, reduce anxiety among patients undergoing CCTA, and optimise the CCTA examination procedure.
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Affiliation(s)
- Karoliina Paalimäki-Paakki
- Research Unit of Nursing Science and Health Management, University of Oulu, Oulu, Finland; Degree Programme of Radiography and Radiation Therapy, Oulu University of Applied Sciences, Oulu, Finland.
| | - Mari Virtanen
- School of Rehabilitation and Examination, Helsinki Metropolia University of Applied Sciences, Helsinki, Finland
| | - Anja Henner
- Degree Programme of Radiography and Radiation Therapy, Oulu University of Applied Sciences, Oulu, Finland
| | - Hannu Vähänikkilä
- Northern Finland Birth Cohorts, Arctic Biobank, Infrastructure for Population Studies, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Miika T Nieminen
- Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland; Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland; Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland
| | - Tanja Schroderus-Salo
- Degree Programme of Radiography and Radiation Therapy, Oulu University of Applied Sciences, Oulu, Finland
| | - Maria Kääriäinen
- Research Unit of Nursing Science and Health Management, University of Oulu, Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland; Oulu University Hospital, Oulu, Finland
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Freund M, Schiffmann I, Rahn AC, Chard D, Lukas C, Scheiderbauer J, Sippel A, Heesen C. Understanding Magnetic Resonance Imaging in Multiple Sclerosis (UMIMS): Development and Piloting of an Online Education Program About Magnetic Resonance Imaging for People With Multiple Sclerosis. Front Neurol 2022; 13:856240. [PMID: 35418941 PMCID: PMC8996193 DOI: 10.3389/fneur.2022.856240] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2022] [Accepted: 02/22/2022] [Indexed: 11/17/2022] Open
Abstract
Background People with multiple sclerosis (pwMS) lack sufficient magnetic resonance imaging (MRI) knowledge to truly participate in frequently occurring MRI-related therapy decisions. An evidence-based patient information (EBPI) about MRI is currently lacking. Objective The aim of this study was to develop an evidence-based online education program about limitations and benefits of MRI for pwMS. Ultimately, our goal was to improve MRI risk-knowledge, empower pwMS, and promote shared decision-making. Methods The program's contents were based on literature research and a previous pilot study. It was revised following 2 evaluation rounds with pwMS, MRI experts and expert patients. In a pilot study, n = 92 pwMS received access to the program for 4 weeks. User experiences and acceptance, MRI knowledge (MRI-RIKNO 2.0 questionnaire) and emotions and attitudes toward MRI (MRI-EMA questionnaire) were assessed. Results were compared to a previous survey population of n = 508 pwMS without access to the program. Results Participants rated the program as easy to understand, interesting, relevant, recommendable, and encouraging. In comparison to pwMS without access to the program, MRI risk-knowledge and perceived MRI competence were higher. Conclusion Satisfaction with the program and good MRI-risk knowledge after usage demonstrates the need and applicability of EBPI about MRI in MS.
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Affiliation(s)
- Magalie Freund
- Department of Neurology, Institute of Neuroimmunology and Multiple Sclerosis, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Insa Schiffmann
- Department of Neurology, Institute of Neuroimmunology and Multiple Sclerosis, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany.,Department of Neurology, University Medical Centre Hamburg-Eppendorf (UKE), Hamburg, Germany
| | - Anne Christin Rahn
- Department of Neurology, Institute of Neuroimmunology and Multiple Sclerosis, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany.,Institute for Social Medicine and Epidemiology, Nursing Research Unit, University of Lübeck, Lübeck, Germany
| | - Declan Chard
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London, United Kingdom.,National Institute for Health Research (NIHR), University College London Hospitals (UCLH), Biomedical Research Centre, London, United Kingdom
| | - Carsten Lukas
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, Institute of Neuroradiology, St. Josef Hospital, Ruhr-University Bochum, Bochum, Germany.,Department of Diagnostic and Interventional Radiology and Nuclear Medicine, St. Josef Hospital, Ruhr-University Bochum, Bochum, Germany
| | - Jutta Scheiderbauer
- Foundation for Self-Determination and Self-Representation for People With MS, Trier, Germany
| | - Anna Sippel
- Department of Neurology, Institute of Neuroimmunology and Multiple Sclerosis, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Christoph Heesen
- Department of Neurology, Institute of Neuroimmunology and Multiple Sclerosis, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany.,Department of Neurology, University Medical Centre Hamburg-Eppendorf (UKE), Hamburg, Germany
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Patients', radiographers' and radiography students' experiences of 360° virtual counselling environment for the coronary computed tomography angiography: A qualitative study. Radiography (Lond) 2020; 27:381-388. [PMID: 33046372 DOI: 10.1016/j.radi.2020.09.019] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2020] [Revised: 09/17/2020] [Accepted: 09/21/2020] [Indexed: 11/20/2022]
Abstract
INTRODUCTION The aim of this study was to describe patients', radiographers' and radiography students' experiences of the developed 360° virtual counselling environment (360°VCE) for the coronary computed tomography angiography (cCTA). METHODS A descriptive qualitative approach was used. The participants were cCTA patients (n = 10), radiographers (n = 10) and radiography students (n = 10) who used the 360°VCE and visited or worked at a university hospital in Finland. The 360°VCE, resembling the authentic environments of a CT imaging unit, included digital counselling materials in text, image, animation and video formats. Data were gathered through thematic interviews individually to obtain an understanding of participants' perspectives and analyzed by inductive content analysis. RESULTS Five main categories and 15 categories were identified. Identified benefits of the 360°VCE for patients included improvements in knowledge, spatial and environmental orientation, and senses of security and self-efficacy, with reductions in fear and nervousness. Patients found the counselling materials engaging, and that the 360° technology conveniently provided reassuring familiarity with the environment before their visit. Identified benefits for radiographers and radiography students included improvements in patients' mental preparedness, knowledge, spatial and environmental orientation, and reductions in patients' fear, which eased procedures and enhanced diagnostic success. The 360°VCE also provided useful information and familiarization with the cCTA unit for students during clinical practice and staff of referring units. CONCLUSION: It seems that patients', radiographers' and radiography students' experiences of 360°VCE respond to patients' needs by improved knowledge and reduced fears. Thus, current counselling practices can be usefully complemented with spherical panoramic imaging technology and online information delivery. IMPLICATIONS FOR PRACTICE The results may be used to improve patient counselling and care, thereby optimizing the cCTA examination procedure and reducing fear. However, further research is needed to characterize experiences of the 360° VCE more comprehensively.
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Patient preferences for development in MRI scanner design: a survey of claustrophobic patients in a randomized study. Eur Radiol 2020; 31:1325-1335. [PMID: 32876831 PMCID: PMC7880963 DOI: 10.1007/s00330-020-07060-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Accepted: 07/01/2020] [Indexed: 10/31/2022]
Abstract
OBJECTIVE To investigate which magnetic resonance imaging (MRI) scanner designs claustrophobic patients prefer. MATERIAL/METHODS We analyzed questionnaires completed by 160 patients at high risk for claustrophobia directly after a scan in either a short-bore or open panoramic scanner as part of a prospective randomized trial Enders et al (BMC Med Imaging 11:4, 2011). Scanner preferences were judged based on schematic drawings of four scanners. Information on the diagnostic performance of the depicted scanners was provided, too. RESULTS A majority of patients suggested upright open (59/160, 36.9%) and open panoramic (53/160, 33.1%) before short-bore designs (26/160, 16.3%, for all p < 0.001) for future development. When asked about patients' preferred scanner choice for an upcoming examination, information about a better diagnostic performance of a short-bore scanner significantly improved its preference rates (from 6/160 to 49/160 or 3.8 to 30.5%, p < 0.001). Patients with a claustrophobic event preferred open designs significantly more often than patients without a claustrophobic event (p = 0.047). Patients scanned in a short-bore scanner in our trial preferred this design significantly more often (p = 0.003). Noise reduction (51/160, 31.9%), more space over the head (44/160, 27.5%), and overall more space (33/160, 20.6%) were the commonest suggested areas of improvement. CONCLUSION Patients at high risk for claustrophobia visually prefer open- over short-bore MRI designs for further development. Education about a better diagnostic performance of a visually less-attractive scanner can increase its acceptance. Noise and space were of most concern for claustrophobic patients. This information can guide individual referral of claustrophobic patients to scanners and future scanner development. KEY POINTS • Patients at high risk for claustrophobia visually favor the further development of open scanners as opposed to short- and closed-bore scanner designs. • Educating claustrophobic patients about a higher diagnostic performance of a short-bore scanner can significantly increase their acceptance of this otherwise visually less-attractive design. • A medical history of earlier claustrophobic events in a given MRI scanner type and focusing on the features "more space" and "noise reduction" can help to guide referral of patients who are at high risk for claustrophobia.
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Hyde LL, Boyes AW, Mackenzie LJ, Leigh L, Oldmeadow C, Riveros C, Sanson-Fisher R. Electronic Health Literacy Among Magnetic Resonance Imaging and Computed Tomography Medical Imaging Outpatients: Cluster Analysis. J Med Internet Res 2019; 21:e13423. [PMID: 31464188 PMCID: PMC6737886 DOI: 10.2196/13423] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2019] [Revised: 06/20/2019] [Accepted: 07/19/2019] [Indexed: 11/13/2022] Open
Abstract
Background Variations in an individual’s electronic health (eHealth) literacy may influence the degree to which health consumers can benefit from eHealth. The eHealth Literacy Scale (eHEALS) is a common measure of eHealth literacy. However, the lack of guidelines for the standardized interpretation of eHEALS scores limits its research and clinical utility. Cut points are often arbitrarily applied at the eHEALS item or global level, which assumes a dichotomy of high and low eHealth literacy. This approach disregards scale constructs and results in inaccurate and inconsistent conclusions. Cluster analysis is an exploratory technique, which can be used to overcome these issues, by identifying classes of patients reporting similar eHealth literacy without imposing data cut points. Objective The aim of this cross-sectional study was to identify classes of patients reporting similar eHealth literacy and assess characteristics associated with class membership. Methods Medical imaging outpatients were recruited consecutively in the waiting room of one major public hospital in New South Wales, Australia. Participants completed a self-report questionnaire assessing their sociodemographic characteristics and eHealth literacy, using the eHEALS. Latent class analysis was used to explore eHealth literacy clusters identified by a distance-based cluster analysis, and to identify characteristics associated with class membership. Results Of the 268 eligible and consenting participants, 256 (95.5%) completed the eHEALS. Consistent with distance-based findings, 4 latent classes were identified, which were labeled as low (21.1%, 54/256), moderate (26.2%, 67/256), high (32.8%, 84/256), and very high (19.9%, 51/256) eHealth literacy. Compared with the low class, participants who preferred to receive a lot of health information reported significantly higher odds of moderate eHealth literacy (odds ratio 16.67, 95% CI 1.67-100.00; P=.02), and those who used the internet at least daily reported significantly higher odds of high eHealth literacy (odds ratio 4.76, 95% CI 1.59-14.29; P=.007). Conclusions The identification of multiple classes of eHealth literacy, using both distance-based and latent class analyses, highlights the limitations of using the eHEALS global score as a dichotomous measurement tool. The findings suggest that eHealth literacy support needs vary in this population. The identification of low and moderate eHealth literacy classes indicate that the design of eHealth resources should be tailored to patients’ varying levels of eHealth literacy. eHealth literacy improvement interventions are needed, and these should be targeted based on individuals’ internet use frequency and health information amount preferences.
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Affiliation(s)
- Lisa Lynne Hyde
- School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Callaghan, Australia.,Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, Australia.,Hunter Medical Research Institute, New Lambton Heights, Australia.,Hunter Cancer Research Alliance, Newcastle, Australia
| | - Allison W Boyes
- School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Callaghan, Australia.,Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, Australia.,Hunter Medical Research Institute, New Lambton Heights, Australia.,Hunter Cancer Research Alliance, Newcastle, Australia
| | - Lisa J Mackenzie
- School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Callaghan, Australia.,Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, Australia.,Hunter Medical Research Institute, New Lambton Heights, Australia.,Hunter Cancer Research Alliance, Newcastle, Australia
| | - Lucy Leigh
- Hunter Medical Research Institute, New Lambton Heights, Australia
| | - Christopher Oldmeadow
- School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Callaghan, Australia.,Hunter Medical Research Institute, New Lambton Heights, Australia
| | - Carlos Riveros
- School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Callaghan, Australia.,Hunter Medical Research Institute, New Lambton Heights, Australia
| | - Rob Sanson-Fisher
- School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Callaghan, Australia.,Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, Australia.,Hunter Medical Research Institute, New Lambton Heights, Australia.,Hunter Cancer Research Alliance, Newcastle, Australia
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