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Gam NP, Sibiya MN. Doctors' perspectives on the quality of medical imaging in public hospitals in eThekwini District. Health SA 2024; 29:2389. [PMID: 38841359 PMCID: PMC11151430 DOI: 10.4102/hsag.v29i0.2389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 11/28/2023] [Indexed: 06/07/2024] Open
Abstract
Background There is a paucity of literature on perspectives of referring doctors about the quality of medical imaging services and this study closes this gap in literature. Aim This quality assurance (QA) study aimed to explore the perspectives of doctors on the quality of medical imaging services in selected regional hospitals within eThekwini District of KwaZulu-Natal. Setting The study was conducted in four public regional hospitals. Methods An exploratory descriptive qualitative research design involving 30 min-45 min of in-depth individual interviews was used. A purposive sampling technique was used to select research participants and hospitals to ensure adequate responses to the research questions. The sample involved nine participants and was guided by data saturation. Responses were recorded through notes and voice recordings and thematic analysis was used to analyse data. Results Three main themes (timeliness of examinations, communication and radiology reports and image quality) and eight subthemes (waiting times, shortage of radiographers, workload, communication between doctors and radiographers, requisition forms, unavailability of radiology reports, clarity of images and image acquisition protocols) emerged from the data. Challenges experienced were exacerbated by high workload and shortage of radiologists and radiographers. Doctors in the data collection sites were mainly dissatisfied with services provided by the medical imaging departments. Conclusion Regular engagements between medical imaging departments and doctors are important in enhancing the provision of quality care to patients. In-service training of radiographers and employment of additional radiographers and finding solutions to mitigate shortage of radiologists are recommended. Contribution This quality assurance (QA) study focused on experiences of doctors while many other medical imaging QA studies in South Africa are equipment based. In-service training of radiographers is recommended to improve image quality and communication skills.
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Affiliation(s)
- Nkululeko P Gam
- Centre for Quality Promotion and Assurance, Faculty of Health Sciences, Durban University of Technology, Durban, South Africa
| | - Maureen N Sibiya
- Division of Research, Innovation and Engagement, Mangosuthu University of Technology, Durban, South Africa
- Faculty of Health Sciences, Durban University of Technology, Durban, South Africa
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Karantanas AH, Efremidis S. The concept of the invisible radiologist in the era of artificial intelligence. Eur J Radiol 2022; 155:110147. [PMID: 35000823 DOI: 10.1016/j.ejrad.2021.110147] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2021] [Revised: 12/03/2021] [Accepted: 12/30/2021] [Indexed: 12/12/2022]
Abstract
The radiologists were traditionally working in the background. What upgraded them as physicians during the second half of the past century was their clinical training and function precipitated by the evolution of Interventional Radiology and Medical Imaging, especially with ultrasonography. These allowed them to participate in patient's diagnosis and treatment by direct contact as well asvia multidisciplinary medical consultations. The wide application of teleradiology and PACS pushed radiologists back again which is no longer acceptable, especially in view of the amazing applications of artificial intelligence (AI) in Radiology. It is our belief that clinical radiologists have to be able to control the penetration of AI in Radiology, securing their work for the benefit of both clinicians and patients.
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Affiliation(s)
- Apostolos H Karantanas
- Department of Radiology, Medical School, University of Crete, 71110 Heraklion, Greece; Department of Medical Imaging, University Hospital, 71110 Heraklion, Greece; Foundation for Research and Technology Hellas (FORTH), Computational Biomedicine Laboratory (CBML) - Hybrid Imaging, 70013 Heraklion, Greece.
| | - Stavros Efremidis
- Prof. Emeritus, Department of Radiology, University of Ioannina, 45110 Ioannina, Greece
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Nivet H, Crombé A, Schuster P, Ayoub T, Pourriol L, Favard N, Chazot A, Alonzo-Lacroix F, Youssof E, Ben Cheikh A, Balique J, Porta B, Petitpierre F, Bouquet G, Mastier C, Bratan F, Bergerot JF, Thomson V, Banaste N, Gorincour G. The accuracy of teleradiologists in diagnosing COVID-19 based on a French multicentric emergency cohort. Eur Radiol 2021; 31:2833-2844. [PMID: 33123790 PMCID: PMC7594948 DOI: 10.1007/s00330-020-07345-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Revised: 09/03/2020] [Accepted: 09/23/2020] [Indexed: 11/24/2022]
Abstract
OBJECTIVES To evaluate the accuracy of diagnoses of COVID-19 based on chest CT as well as inter-observer agreement between teleradiologists during on-call duty and senior radiologists in suspected COVID-19 patients. MATERIALS AND METHODS From March 13, 2020, to April 14, 2020, consecutive suspected COVID-19 adult patients who underwent both an RT-PCR test and chest CT from 15 hospitals were included in this prospective study. Chest CTs were immediately interpreted by the on-call teleradiologist and were systematically blind reviewed by a senior radiologist. Readings were categorised using a five-point scale: (1) normal; (2) non-infectious findings; (3) infectious findings but not consistent with COVID-19 infection; (4) consistent with COVID-19 infection; and (5) typical appearance of COVID-19 infection. The diagnostic accuracy of chest CT and inter-observer agreement using the kappa coefficient were evaluated over the study period. RESULTS In total, 513 patients were enrolled, of whom 244/513 (47.6%) tested positive for RT-PCR. First readings were scored 4 or 5 in 225/244 (92%) RT-PCR+ patients, and between 1 and 3 in 201/269 (74.7%) RT-PCR- patients. The data were highly consistent (weighted kappa = 0.87) and correlated with RT-PCR (p < 0.001, AUC1st-reading = 0.89, AUC2nd-reading = 0.93). The negative predictive value for scores of 4 or 5 was 0.91-0.92, and the PPV for a score of 5 was 0.89-0.96 at the first and second readings, respectively. Diagnostic accuracy was consistent over the study period, irrespective of a variable prevalence rate. CONCLUSION Chest CT demonstrated high diagnostic accuracy with strong inter-observer agreement between on-call teleradiologists with varying degrees of experience and senior radiologists over the study period. KEY POINTS • The accuracy of readings by on-call teleradiologists, relative to second readings by senior radiologists, demonstrated a sensitivity of 0.75-0.79, specificity of 0.92-0.97, NPV of 0.80-0.83, and PPV of 0.89-0.96, based on "typical appearance," as predictive of RT-PCR+. • Inter-observer agreement between the first reading in the emergency setting and the second reading by the senior emergency teleradiologist was excellent (weighted kappa = 0.87).
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Affiliation(s)
- Hubert Nivet
- Imadis Teleradiology, 48 Rue Quivogne, 69002, Lyon, France
- Centre Aquitain d'Imagerie, 64 rue de Canolle, 33000, Bordeaux, France
| | - Amandine Crombé
- Imadis Teleradiology, 48 Rue Quivogne, 69002, Lyon, France
- Department of Diagnostic and Interventional Imaging, Institut Bergonié, F-33076, Bordeaux, France
| | - Paul Schuster
- Imadis Teleradiology, 48 Rue Quivogne, 69002, Lyon, France
- Centre Aquitain d'Imagerie, 64 rue de Canolle, 33000, Bordeaux, France
| | - Thomas Ayoub
- Deeplink Medical, 22 rue Seguin, 69002, Lyon, France
| | - Laurent Pourriol
- Imadis Teleradiology, 48 Rue Quivogne, 69002, Lyon, France
- Norimagerie, Caluire et Cuire, France
| | - Nicolas Favard
- Imadis Teleradiology, 48 Rue Quivogne, 69002, Lyon, France
- Imagerie Médicale du Mâconnais, Mâcon, France
| | - Alban Chazot
- Imadis Teleradiology, 48 Rue Quivogne, 69002, Lyon, France
- Ramsay Générale de Santé, Clinique de la Sauvegarde, Lyon, France
| | | | - Emile Youssof
- Imadis Teleradiology, 48 Rue Quivogne, 69002, Lyon, France
- Centre d'Imagerie Médicale Pourcel, Bergson, et de la clinique du Parc, Saint Etienne, France
| | - Alexandre Ben Cheikh
- Imadis Teleradiology, 48 Rue Quivogne, 69002, Lyon, France
- Ramsay Générale de Santé, Clinique de la Sauvegarde, Lyon, France
| | - Julien Balique
- Imadis Teleradiology, 48 Rue Quivogne, 69002, Lyon, France
- Ramsay Générale de Santé, Hôpital Privé Jean Mermoz, Lyon, France
| | - Basile Porta
- Imadis Teleradiology, 48 Rue Quivogne, 69002, Lyon, France
- Ramsay Générale de Santé, Clinique de la Sauvegarde, Lyon, France
| | - François Petitpierre
- Imadis Teleradiology, 48 Rue Quivogne, 69002, Lyon, France
- Service d'imagerie diagnostique et interventionnelle de l'adulte, groupe hospitalier Pellegrin, place Amélie-Raba-Léon, 33076, Bordeaux cedex, France
| | - Grégoire Bouquet
- Imadis Teleradiology, 48 Rue Quivogne, 69002, Lyon, France
- Department of Diagnostic and Interventional Imaging, Centre Hospitalier Saint-Joseph Saint-Luc, 20 Quai Claude Bernard, 69007, Lyon, France
| | - Charles Mastier
- Imadis Teleradiology, 48 Rue Quivogne, 69002, Lyon, France
- Department of Radiology, Centre Léon Bérard, Lyon, France
| | - Flavie Bratan
- Imadis Teleradiology, 48 Rue Quivogne, 69002, Lyon, France
- Department of Diagnostic and Interventional Imaging, Centre Hospitalier Saint-Joseph Saint-Luc, 20 Quai Claude Bernard, 69007, Lyon, France
| | - Jean-François Bergerot
- Imadis Teleradiology, 48 Rue Quivogne, 69002, Lyon, France
- Ramsay Générale de Santé, Clinique Convert, Bourg-en-Bresse, France
| | - Vivien Thomson
- Imadis Teleradiology, 48 Rue Quivogne, 69002, Lyon, France
- Ramsay Générale de Santé, Clinique de la Sauvegarde, Lyon, France
| | - Nathan Banaste
- Imadis Teleradiology, 48 Rue Quivogne, 69002, Lyon, France
- Department of Radiology, Hopital Nord-Ouest, Villefranche-sur-Saône, France
| | - Guillaume Gorincour
- Imadis Teleradiology, 48 Rue Quivogne, 69002, Lyon, France.
- ELSAN, Clinique Bouchard, Marseille, France.
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Cox J, Graham Y. Radiology and patient communication: if not now, then when? Eur Radiol 2019; 30:501-503. [PMID: 31359123 DOI: 10.1007/s00330-019-06349-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2019] [Revised: 06/10/2019] [Accepted: 06/28/2019] [Indexed: 11/24/2022]
Abstract
KEY POINTS • Communication with patients in radiology is, in general, indirect using the referrer as a conduit. • Direct patient communication may be beneficial for radiology departments and radiologists to improve patient awareness about the nature of our role and also to provide correct and measured information about the nature and frequency of discrepancies in radiology.
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Affiliation(s)
- Julie Cox
- Department of Radiology, City Hospitals Sunderland NHS Foundation Trust, Kayll Road, Sunderland, Tyne and Wear, SR4 7TP, UK. .,Faculty of Health Sciences and Wellbeing, University of Sunderland, Sciences Complex, Sunderland, Tyne and Wear, SR1 3SD, UK.
| | - Yitka Graham
- Department of Radiology, City Hospitals Sunderland NHS Foundation Trust, Kayll Road, Sunderland, Tyne and Wear, SR4 7TP, UK.,Faculty of Health Sciences and Wellbeing, University of Sunderland, Sciences Complex, Sunderland, Tyne and Wear, SR1 3SD, UK
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