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The seven key challenges for life-critical shared decision making systems. Int J Med Inform 2021; 148:104377. [PMID: 33517102 DOI: 10.1016/j.ijmedinf.2021.104377] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Accepted: 12/29/2020] [Indexed: 12/24/2022]
Abstract
BACKGROUND Shared decision making (SDM) for life-critical diseases or conditions is a crucial type of SDM. This type of SDM is still greatly underdeveloped and it faces a number of key challenges. The main goal of this study is to identify the challenges that impede the development and use of life-critical SDM. METHODS This is a hybrid research and systematic / narrative review paper. Its results were derived by analyzing reviews already conducted by the authors when they were working on six recently published papers. These papers had collectively required two systematic reviews and four narrative reviews. The topics covered in the six published papers were related to computer-aided diagnosis (CAD) in medicine, the analysis of health state utilities, and the selection of the best treatment for life-critical diseases / conditions. A new narrative review was also executed to explore some new issues. RESULTS The key challenges for life-critical SDM relate to the following aspects: The mathematical models used to make the decisions, the data used to feed these models, the role the patient plays within the SDM framework, and finally, the role healthcare professionals play along with the pertinent rules and regulations that guide the use of this type of SDM today. CONCLUSIONS Life-critical SDM is the most important type of SDM. However, some challenges impede its successful development and use. A number of developments and enhancements need to be made urgently for this type of SDM to become widely acceptable and useful. The seven key challenges identified in this study and the suggested directions for future research offer a compelling path towards elevating life-critical SDM to the next level and do so both effectively and efficiently.
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Chang RWJ, Chuang SL, Hsu CY, Yen AMF, Wu WYY, Chen SLS, Fann JCY, Tabar L, Smith RA, Duffy SW, Chiu SYH, Chen HH. Precision Science on Incidence and Progression of Early-Detected Small Breast Invasive Cancers by Mammographic Features. Cancers (Basel) 2020; 12:E1855. [PMID: 32664200 PMCID: PMC7408735 DOI: 10.3390/cancers12071855] [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: 05/22/2020] [Revised: 06/25/2020] [Accepted: 07/06/2020] [Indexed: 11/21/2022] Open
Abstract
The aim was to evaluate how the inter-screening interval affected the performance of screening by mammographic appearances. This was a Swedish retrospective screening cohort study with information on screening history and mammography features in two periods (1977-1985 and 1996-2010). The pre-clinical incidence and the mean sojourn time (MST) for small breast cancer allowing for sensitivity by mammographic appearances were estimated. The percentage of interval cancer against background incidence (I/E ratio) was used to assess the performance of mammography screening by different inter-screening intervals. The sensitivity-adjusted MSTs (in years) were heterogeneous with mammographic features, being longer for powdery and crushed stone-like calcifications (4.26, (95% CI, 3.50-5.26)) and stellate masses (3.76, (95% CI, 3.15-4.53)) but shorter for circular masses (2.65, (95% CI, 2.06-3.55)) in 1996-2010. The similar trends, albeit longer MSTs, were also noted in 1977-1985. The I/E ratios for the stellate type were 23% and 32% for biennial and triennial screening, respectively. The corresponding figures were 32% and 43% for the circular type and 21% and 29% for powdery and crushed stone-like calcifications, respectively. Mammography-featured progressions of small invasive breast cancer provides a new insight into personalized quality assurance, surveillance, treatment and therapy of early-detected breast cancer.
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Affiliation(s)
- Rene Wei-Jung Chang
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei City 100, Taiwan; (R.W.-J.C.); (C.-Y.H.)
| | - Shu-Lin Chuang
- Department of Medical Research, National Taiwan University Hospital, Taipei City 100, Taiwan;
| | - Chen-Yang Hsu
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei City 100, Taiwan; (R.W.-J.C.); (C.-Y.H.)
| | - Amy Ming-Fang Yen
- School of Oral Hygiene, College of Oral Medicine, Taipei Medical University, Taipei City 110, Taiwan; (A.M.-F.Y.); (S.L.-S.C.)
| | - Wendy Yi-Ying Wu
- Department of Radiation Sciences, Oncology, Umeå University, 90187 Umeå, Sweden;
| | - Sam Li-Sheng Chen
- School of Oral Hygiene, College of Oral Medicine, Taipei Medical University, Taipei City 110, Taiwan; (A.M.-F.Y.); (S.L.-S.C.)
| | - Jean Ching-Yuan Fann
- Department of Health Industry Management, College of Healthcare Management, Kainan University, Taoyuan City 338, Taiwan;
| | - Laszlo Tabar
- Department of Mammography, Falun Central Hospital, 791823 Falun, Sweden;
| | - Robert A. Smith
- Center for Cancer Screening, American Cancer Society, Atlanta, GA 30303, USA;
| | - Stephen W. Duffy
- Centre for Cancer Prevention, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK;
| | - Sherry Yueh-Hsia Chiu
- Department of Health Care Management, College of Management, Chang Gung University, Taoyuan City 333, Taiwan
- Division of Hepatogastroenterology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung City 833, Taiwan
| | - Hsiu-Hsi Chen
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei City 100, Taiwan; (R.W.-J.C.); (C.-Y.H.)
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