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Wilder B, Pinedo A, Abusin S, Ansell D, Bacong AM, Calvin J, Cha SW, Doukky R, Hasan F, Luo S, Oktay AA, Palaniappan L, Rana N, Rivera FB, Fayaz B, Suliman AA, Volgman AS. A Global Perspective on Socioeconomic Determinants of Cardiovascular Health. Can J Cardiol 2024:S0828-282X(24)00583-X. [PMID: 39095016 DOI: 10.1016/j.cjca.2024.07.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Revised: 07/24/2024] [Accepted: 07/25/2024] [Indexed: 08/04/2024] Open
Abstract
Cardiovascular disease (CVD) is the leading cause of mortality in the world. From 2005 to 2008, the World Health Organization (WHO) planned an initiative to reduce the mortality rate of CVD by 2030 by addressing health, finance, transport, education, and agriculture in these communities. Plans were underway by many countries to meet the goals of the WHO initiative. However, in 2020, the COVID-19 pandemic derailed these goals, and many health systems suffered as the world battled the viral pandemic. The pandemic made health inequities even more prominent and necessitated a different approach to understanding and improving the socioeconomic determinants of health (SDOH). WHO initiated a special initiative to improve SDOH globally. This paper is an update on what other regions across the globe are doing to decrease, more specifically, the impact of socioeconomic determinants of cardiovascular health. Our review highlights how countries and regions such as Canada, the United States, India, Southeast Asia, the Middle East, and Africa are uniquely affected by various socioeconomic factors and how these countries are attempting to counter these obstacles by creating policies and protocols to facilitate an infrastructure that promotes screening and treatment of CVD. Ultimately, interventions directed toward populations that have been economically and socially marginalized may aid in reducing the disease and financial burden associated with CVD.
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Affiliation(s)
- Bart Wilder
- Department of Internal Medicine, Rush University Medical Center, Chicago, Illinois, USA
| | - Alejandro Pinedo
- Department of Internal Medicine, Rush University Medical Center, Chicago, Illinois, USA
| | - Salaheldin Abusin
- Section of Cardiology, Department of Internal Medicine, Rush University Medical Center, Chicago, Illinois, USA
| | - David Ansell
- Department of Internal Medicine, Rush University Medical Center, Chicago, Illinois, USA
| | - Adrian Matias Bacong
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Palo Alto, California, USA; Stanford Center for Asian Health Research and Education (CARE), Stanford University, Palo Alto, California, USA, (e)Department of Medicine, Western University, London, Ontario, Canada
| | - James Calvin
- Stanford Center for Asian Health Research and Education (CARE), Stanford University, Palo Alto, California, USA, (e)Department of Medicine, Western University, London, Ontario, Canada
| | | | - Rami Doukky
- Division of Cardiology, Department of Medicine, Cook County Health, Chicago, Illinois, USA
| | - Faisal Hasan
- Section of Cardiology, Department of Internal Medicine, Rush University Medical Center, Chicago, Illinois, USA
| | - Shengyuan Luo
- Section of Cardiology, Department of Internal Medicine, Johns Hopkins Medicine, Baltimore, Maryland, USA
| | - Ahmet Afşin Oktay
- Section of Cardiology, Department of Internal Medicine, Rush University Medical Center, Chicago, Illinois, USA
| | - Latha Palaniappan
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Palo Alto, California, USA
| | - Natasha Rana
- Section of Cardiology, Department of Internal Medicine, Rush University Medical Center, Chicago, Illinois, USA
| | | | - Basmah Fayaz
- Section of Cardiology, Department of Internal Medicine, Rush University Medical Center, Chicago, Illinois, USA
| | | | - Annabelle Santos Volgman
- Section of Cardiology, Department of Internal Medicine, Rush University Medical Center, Chicago, Illinois, USA.
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Perceived Quality of Traditional Chinese Medicine Care in Community Health Services: A Cross-Sectional Survey in Hangzhou of China. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE 2022; 2022:7512581. [PMID: 35859999 PMCID: PMC9293547 DOI: 10.1155/2022/7512581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 06/15/2022] [Indexed: 11/30/2022]
Abstract
Background Traditional Chinese medicine (TCM) is an integral part of the mainstream health care system in China. Public community health services are required by the government to deliver TCM services. This study aimed to assess patient perceived quality of TCM care in community health services. Methods A cross-sectional questionnaire survey was conducted on 471 TCM users in four community health centers in Hangzhou. Respondents were asked to rate their experiences on a Likert scale about tangibility, reliability, responsiveness, assurance and empathy of the TCM services they received. Linear regression models were established to determine the sociodemographic and services factors associated with the ratings. Results Average ratings on the five aspects of the TCM care ranged from 78 to 88 out of a possible 100, with assurance attracting the highest and empathy attracting the lowest score. Overall, higher perceived quality of TCM care (except for assurance) was associated with a choice of TCM in preference to western medicine. Those who reported higher cost (≥100 yuan) of TCM care rated higher on responsiveness and empathy of the care. But higher frequency of visits to community TCM services was associated with lower ratings on reliability, assurance and empathy. Those who received two or more TCM modalities also perceived lower tangible care. In addition, higher ratings on reliability and responsiveness were found in women. The respondents with a university qualification gave higher ratings on reliability and responsiveness; by contrast, those with a highest education of senior high school rated lower on assurance and empathy. Lower perceived tangibility and assurance was also associated with rural residency. Compared with those working in the public sector, the respondents from the retail and services sector gave a higher rating on assurance but a lower rating on empathy. Conclusion Overall, the TCM users perceived high quality of TCM care in community health services in Hangzhou. However, there is a need to further improve TCM care from all quality perspectives in order to attract and maintain consumer trust in TCM.
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Wang Y, Ye B, Zhu Y, Wang X, Liang Y. Association of Hospital Characteristics and Previous Hospitalization-Related Experiences with Patients’ Perceptions of Hospital Care in China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19137856. [PMID: 35805515 PMCID: PMC9265902 DOI: 10.3390/ijerph19137856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 05/19/2022] [Accepted: 05/24/2022] [Indexed: 02/01/2023]
Abstract
Patients’ perceptions of healthcare vary over time and by setting, and previous studies have rarely focused on these factors. We aimed to measure patients’ perceptions of hospital care in China and to examine how patients’ perceptions of hospital care vary by hospital characteristics (differences in setting) and previous hospitalization-related experiences (changes with time). We conducted a national cross-sectional survey of 7267 inpatients between July 2014 and April 2015 in China. Hospital characteristics measured were hospital technical level, hospital type, teaching status, and the ratio of doctors/nurses to ward beds. Previous hospitalization-related experiences measured were current admission length, number of previous admissions, and hospital selection (hospital advertisements or personal recommendations). Patients’ perceptions of hospital care included perceptions of doctors, nurses, and hospital organization. Scores were highest for perceptions of nurses, followed by perceptions of doctors, and hospital organization. Of the five hospital characteristics rated, the technical level was most strongly associated with patient perceptions of healthcare. The effect of hospital admission length and frequency of hospitalization on patients’ perceptions was represented by a √-shaped dose–response curve (scores were initially high, then decreased, then rebounded to higher than the initial scores). Patients who selected a hospital with hospital advertisements gave lower scores than those without hospital advertisements, and patients who selected a hospital with personal recommendations gave higher scores than those without If the observed √-shaped dose–response curves indicate a causal relationship between patients’ perceptions and hospital admission length or frequency of hospitalization, this may help to guide the timing of patient satisfaction assessments. The negative association between patient perception and advertising, and the positive association with personal recommendations (word-of-mouth) and hospital technical level, could provide important information for clinicians and hospital administrators.
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Affiliation(s)
- Yufan Wang
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430074, China; (Y.W.); (B.Y.); (X.W.)
| | - Beizhu Ye
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430074, China; (Y.W.); (B.Y.); (X.W.)
| | - Yimei Zhu
- School of Media, Communication and Sociology, University of Leicester, Leicester LE1 7JA, UK;
| | - Xiaoyu Wang
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430074, China; (Y.W.); (B.Y.); (X.W.)
| | - Yuan Liang
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430074, China; (Y.W.); (B.Y.); (X.W.)
- Correspondence:
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Roberts H, Cowls J, Morley J, Taddeo M, Wang V, Floridi L. The Chinese approach to artificial intelligence: an analysis of policy, ethics, and regulation. AI & SOCIETY 2020. [DOI: 10.1007/s00146-020-00992-2] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
AbstractIn July 2017, China’s State Council released the country’s strategy for developing artificial intelligence (AI), entitled ‘New Generation Artificial Intelligence Development Plan’ (新一代人工智能发展规划). This strategy outlined China’s aims to become the world leader in AI by 2030, to monetise AI into a trillion-yuan (ca. 150 billion dollars) industry, and to emerge as the driving force in defining ethical norms and standards for AI. Several reports have analysed specific aspects of China’s AI policies or have assessed the country’s technical capabilities. Instead, in this article, we focus on the socio-political background and policy debates that are shaping China’s AI strategy. In particular, we analyse the main strategic areas in which China is investing in AI and the concurrent ethical debates that are delimiting its use. By focusing on the policy backdrop, we seek to provide a more comprehensive and critical understanding of China’s AI policy by bringing together debates and analyses of a wide array of policy documents.
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