1
|
Geng J, Zhao J, Fan R, Zhu Z, Zhang Y, Zhu Y, Yang Y, Xu L, Lin X, Hu K, Rudan I, Song P, Li X, Wu X. Global, regional, and national burden and quality of care of multiple myeloma, 1990-2019. J Glob Health 2024; 14:04033. [PMID: 38299781 PMCID: PMC10832550 DOI: 10.7189/jogh.14.04033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2024] Open
Abstract
Background Multiple myeloma (MM) is the second most common haematologic malignancy, presenting a great disease burden on the general population; however, the quality of care of MM is overlooked. We therefore assessed gains and disparity in quality of care worldwide from 1990 to 2019 based on a novel summary indicator - the quality of care index (QCI) - and examined its potential for improvement. Methods Using the Global Burden of Disease 2019 data set, we calculated the QCI of MM for 195 countries and territories. We used the principal component analysis to extract the first principal component of ratios with the combinations of mortality to incidence, prevalence to incidence, disability-adjusted life years to prevalence, and years of life lost to years lived with disability as QCI. We also conducted a series of descriptive and comparative analyses of QCI disparities with age, gender, period, geographies, and sociodemographic development, and compared the QCI among countries with similar socio-demographic index (SDI) through frontier analysis. Results The age-standardised rates of MM were 1.92 (95% uncertainty interval (UI) = 1.68, 2.12) in incidence and 1.42 (95% UI = 1.24, 1.52) in deaths per 100 000 population in 2019, and were predicted to increase in the future. The global age-standardised QCI increased from 51.31 in 1990 to 64.28 in 2019. In 2019, New Zealand had the highest QCI at 99.29 and the Central African Republic had the lowest QCI at 10.74. The gender disparity of QCI was reduced over the years, with the largest being observed in the sub-Saharan region. Regarding age, QCI maintained a decreasing trend in patients aged >60 in SDI quintiles. Generally, QCI improved with the SDI increase. Results of frontier analysis suggested that there is a potential to improve the quality of care across all levels of development spectrum. Conclusions Quality of care of MM improved during the past three decades, yet disparities in MM care remain across different countries, age groups, and genders. It is crucial to establish local objectives aimed at enhancing MM care and closing the gap in health care inequality.
Collapse
Affiliation(s)
- Jiawei Geng
- Department of Big Data in Health Science School of Public Health, Centre of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Centre for Global Health, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China
| | - Jianhui Zhao
- Department of Big Data in Health Science School of Public Health, Centre of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Rong Fan
- Department of Big Data in Health Science School of Public Health, Centre of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Zecheng Zhu
- Department of Big Data in Health Science School of Public Health, Centre of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yuchen Zhang
- Department of Big Data in Health Science School of Public Health, Centre of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yingshuang Zhu
- Colorectal Surgery and Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yichi Yang
- Department of Biostatistics, Graduate School of Medicine, Hokkaido University, Sapporo, Japan
- Department of Social Medicine, Graduate School of Medicine, Hirosaki University, Hirosaki, Japan
| | - Liying Xu
- Department of Big Data in Health Science School of Public Health, Centre of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiangjie Lin
- Department of Hematology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Key Laboratory of Hematologic Malignancies, Diagnosis and Treatment, Hangzhou, Zhejiang, China
| | - Kejia Hu
- Department of Hematology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Igor Rudan
- Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Peige Song
- School of Public Health and Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xue Li
- Department of Big Data in Health Science School of Public Health, Centre of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Xifeng Wu
- Department of Big Data in Health Science School of Public Health, Centre of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| |
Collapse
|
2
|
Hadid M, Elomri A, El Mekkawy T, Kerbache L, El Omri A, El Omri H, Taha RY, Hamad AA, Al Thani MHJ. Bibliometric analysis of cancer care operations management: current status, developments, and future directions. Health Care Manag Sci 2022; 25:166-185. [PMID: 34981268 DOI: 10.1007/s10729-021-09585-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2020] [Accepted: 10/05/2021] [Indexed: 01/31/2023]
Abstract
Around the world, cancer care services are facing many operational challenges. Operations management research can provide important solutions to these challenges, from screening and diagnosis to treatment. In recent years, the growth in the number of papers published on cancer care operations management (CCOM) indicates that development has been fast. Within this context, the objective of this research was to understand the evolution of CCOM through a comprehensive study and an up-to-date bibliometric analysis of the literature. To achieve this aim, the Web of Science Core Collection database was used as the source of bibliographic records. The data-mining and quantitative tools in the software Biblioshiny were used to analyze CCOM articles published from 2010 to 2021. First, a historical analysis described CCOM research, the sources, and the subfields. Second, an analysis of keywords highlighted the significant developments in this field. Third, an analysis of research themes identified three main directions for future research in CCOM, which has 11 evolutionary paths. Finally, this paper discussed the gaps in CCOM research and the areas that require further investigation and development.
Collapse
Affiliation(s)
- Majed Hadid
- College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar
| | - Adel Elomri
- College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar.
| | | | - Laoucine Kerbache
- College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar
| | | | - Halima El Omri
- National Center for Cancer Care and Research (NCCCR), Hamad Medical Corporation, Doha, Qatar
| | - Ruba Y Taha
- National Center for Cancer Care and Research (NCCCR), Hamad Medical Corporation, Doha, Qatar
| | - Anas Ahmad Hamad
- National Center for Cancer Care and Research (NCCCR), Hamad Medical Corporation, Doha, Qatar
| | | |
Collapse
|
3
|
Francis F, Terroba C, Persoz C, Gagliolo JM, Alla F. [What place for French morbidity registries in the era of big data?]. Rev Epidemiol Sante Publique 2020; 68:117-123. [PMID: 31974001 DOI: 10.1016/j.respe.2019.11.018] [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: 06/26/2019] [Revised: 10/21/2019] [Accepted: 11/03/2019] [Indexed: 10/25/2022] Open
Abstract
The recent opening of massive health databases, as well as the development of methods and tools adapted to their data processing, questions the French model of "morbidity registry". In France in 2019, nearly 61 health registries were operating. As defined by law, these registries identify exhaustively all patients with a given disease in a given territory. Established several decades ago, these registries are part of the French surveillance system that is used for research and evaluation purposes. Since the advent of recent technological progress, large-scale databases are made available to researchers and it is possible with these databases to answer questions initially assigned to the registries. What is the place of such registries in this new context: are they obsolete or still useful? Should they be opposed to the new tools or are they complementary to them, and if so, what is their place in the new French public health ecosystem? The objective of this work was to assess the roles and missions of existing registries and to reflect on their positioning in this new environment. The French model of registry is sometimes questioned because of the complexity of its circuits, requiring a significant amount of human resources. However, the data that constitute them, validated by cross-checking information from several sources, are of very high quality, and make it possible to validate the data in the new databases (National Health Data System (NSDS) or Hospital Data Warehouses). Registries and new databases are in fact complementary, and far from jeopardizing this model, the recent opening of these databases represents an opportunity for registries to modernize their operations and respond to new missions.
Collapse
Affiliation(s)
- F Francis
- Université de Bordeaux, Isped, Inserm UMR 1219-Bordeaux Population Health, 33000 Bordeaux, France; CHU de Bordeaux, pôle de santé publique, service d'information médicale, 33000 Bordeaux, France.
| | - C Terroba
- Inserm, institut thématique santé publique, Paris, France
| | - C Persoz
- Inserm, institut thématique santé publique, Paris, France
| | - J-M Gagliolo
- Inserm, institut thématique santé publique, Paris, France
| | - F Alla
- Université de Bordeaux, Isped, Inserm UMR 1219-Bordeaux Population Health, 33000 Bordeaux, France; Inserm, CIC 1401-EC, 33000 Bordeaux, France
| |
Collapse
|
4
|
Puyade M, Defossez G, Guilhot F, Leleu X, Ingrand P. Age-related health care disparities in multiple myeloma. Hematol Oncol 2017; 36:224-231. [DOI: 10.1002/hon.2422] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2016] [Revised: 02/09/2017] [Accepted: 03/20/2017] [Indexed: 01/08/2023]
Affiliation(s)
- Mathieu Puyade
- INSERM CIC 1402, CHU; Poitiers France
- Registre des Cancers Poitou-Charentes, Faculté de Médecine et Pharmacie; Université de Poitiers; Poitiers France
| | - Gautier Defossez
- INSERM CIC 1402, CHU; Poitiers France
- Registre des Cancers Poitou-Charentes, Faculté de Médecine et Pharmacie; Université de Poitiers; Poitiers France
| | | | - Xavier Leleu
- INSERM CIC 1402, CHU; Poitiers France
- Service d'Onco-Hématologie et Thérapie Cellulaire; CHU de Poitiers; France
| | - Pierre Ingrand
- INSERM CIC 1402, CHU; Poitiers France
- Registre des Cancers Poitou-Charentes, Faculté de Médecine et Pharmacie; Université de Poitiers; Poitiers France
| |
Collapse
|