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Li J, Davidson PM, Fong DYT, Li Y, Lok KYW, Wong JYH, Man Ho M, Choi EPH, Pandian V, Duan W, Tarrant M, Lee JJ, Lin CC, Akingbade O, Alabdulwahhab KM, Ahmad MS, Alboraie M, Alzahrani MA, Bilimale AS, Boonpatcharanon S, Byiringiro S, Hasan MKC, Schettini LC, Corzo W, De Leon JM, De Leon AS, Deek H, Efficace F, El Nayal MA, El-Raey F, Ensaldo-Carrasco E, Escotorin P, Fadodun OA, Fawole IO, Goh YSS, Irawan D, Khan NE, Koirala B, Krishna A, Kwok C, Le TT, Leal DG, Lezana-Fernández MÁ, Manirambona E, Mantoani LC, Meneses-González F, Mohamed IE, Mukeshimana M, Nguyen CTM, Nguyen HTT, Nguyen KT, Nguyen ST, Nurumal MS, Nzabonimana A, Omer NAMA, Ogungbe O, Poon ACY, Reséndiz-Rodriguez A, Puang-Ngern B, Sagun CG, Shaik RA, Shankar NG, Sommer K, Toro E, Tran HTH, Urgel EL, Uwiringiyimana E, Vanichbuncha T, Youssef N. Individuals' positive gains from the COVID-19 pandemic: a qualitative study across 30 countries. J Glob Health 2025; 15:04091. [PMID: 39950570 PMCID: PMC11827041 DOI: 10.7189/jogh.15.04091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2025] Open
Abstract
Background Given the limited understanding of individuals' positive gains, this study aimed to identify these gains that could be leveraged by policymakers to enhance future health and societal resilience. Methods We used a global qualitative approach to survey adults over 18 from 30 countries across six World Health Organization (WHO) regions, who detailed up to three personal positive gains from COVID-19 pandemic via an open-ended question. Inductive thematic analysis was employed to identify main themes, and quantitative methods were used for demographic and regional comparisons based on the percentage of responses for each theme. Results From 35 911 valid responses provided by 13 853 participants, six main themes (one negative theme), 39 subthemes, and 673 codes were identified. Five positive gain themes emerged, ordered by response frequency: 1) improved health awareness and practices; 2) strengthened social bonds and trust; 3) multi-dimensional personal growth; 4) resilience and preparedness building; 5) accelerated digital transformation. The percentage of responses under these themes consistently appeared in the same order across various demographic groups and economic development levels. However, there were variations in the predominant theme across WHO regions and countries, with either Theme 1, Theme 2, or Theme 3 having the highest percentage of responses. Although our study primarily focused on positive gains, unexpectedly, 12% of responses (4304) revealed 'negative gains', leading to an unforeseen theme: 'Distrust and emerging vulnerabilities.' While this deviates from our main topic, we retained it as it provides valuable insights. Notably, these 'negative gains' had a higher percentage of responses in areas like Burundi (94.1%), Rwanda (31.8%), Canada (26.9%), and in the African Region (37.7%) and low-income (43.9%) countries, as well as among non-binary individuals, those with lower education, and those facing employment challenges. Conclusions Globally, the identified diverse positive gains guide the domains in which health policies and practices can transform these transient benefits into enduring improvements for a healthier, more resilient society. However, variations in thematic responses across demographics, countries, and regions highlights need for tailored health strategies.
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Affiliation(s)
- Jiaying Li
- School of Nursing, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China
- School of Nursing, Johns Hopkins University, Baltimore, Maryland, USA
| | - Patricia M Davidson
- Vice-Chancellor and Principal, University of Wollongong, Wollongong, Australia
| | - Daniel Yee Tak Fong
- School of Nursing, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China
| | - Yaqin Li
- School of nursing, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Kris Yuet Wan Lok
- School of Nursing, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China
| | - Janet Yuen Ha Wong
- School of Nursing and Health Studies, Hong Kong Metropolitan University, Hong Kong SAR, China
| | - Mandy Man Ho
- School of Nursing, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China
| | - Edmond Pui Hang Choi
- School of Nursing, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China
| | - Vinciya Pandian
- School of Nursing, Johns Hopkins University, Baltimore, Maryland, USA
| | - Wenjie Duan
- Department of Social Work, East China University of Science and Technology, Shanghai, China
| | - Marie Tarrant
- School of Nursing, The University of British Columbia, Kelowna British Columbia, Canada
| | - Jung Jae Lee
- School of Nursing, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China
| | - Chia-Chin Lin
- School of Nursing, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China
| | - Oluwadamilare Akingbade
- The Nethersole School of Nursing, The Chinese University of Hong Kong, Hong Kong
- Institute of Nursing Research, Osogbo, Osun State, Nigeria
| | | | - Mohammad Shakil Ahmad
- Department of Family & Community Medicine, College of Medicine, Majmaah University, Majmaah, Saudi Arabia
| | - Mohamed Alboraie
- Department of Internal Medicine, Al-Azhar University, Cairo, Egypt
| | - Meshari A Alzahrani
- Department of Urology, College of Medicine, Majmaah University, Al Majmaah, Saudi Arabia
| | - Anil S Bilimale
- School of Public Health, JSS Medical College, JSS AHER, Mysuru, India
| | | | - Samuel Byiringiro
- School of Nursing, Johns Hopkins University, Baltimore, Maryland, USA
| | | | | | | | | | | | - Hiba Deek
- Nursing Department, Faculty of Health Science, Beirut Arab University, Beirut, Lebanon
| | - Fabio Efficace
- Italian Group for Adult Hematologic Disease, Data Center and Health Outcomes Research Unit, Rome, Italy
| | | | - Fathiya El-Raey
- Department of hepatogastroenterology and infectious diseases, Damietta faculty of medicine, Al-Azher University, Cairo, Egypt
| | | | - Pilar Escotorin
- Laboratory of Applied Prosocial Research, Department of Basic, Developmental and Educational Psychology, Autonomous University of Barcelona, Barcelona, Spain
| | | | | | - Yong-Shian Shawn Goh
- Alice Lee Centre for Nursing Studies, National University of Singapore, Singapore
| | - Devi Irawan
- School of Nursing, Wijaya Husada Health Institute, Bogor, Indonesia
| | | | - Binu Koirala
- School of Nursing, Johns Hopkins University, Baltimore, Maryland, USA
| | | | - Cannas Kwok
- School of Nursing, Paramedicine and Health Care Science, Charles Sturt University, New South Wales, Australia
| | | | | | | | - Emery Manirambona
- College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda
| | - Leandro Cruz Mantoani
- Department of Physiotherapy, Faculty of Science and Technology, São Paulo State University (UNESP), Presidente Prudente, Brazil
| | | | - Iman Elmahdi Mohamed
- Pharmacology and Toxicology Department, Faculty of Pharmacy, Benghazi University, Benghazi, Libya
| | - Madeleine Mukeshimana
- School of Nursing and Midwifery, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda
| | | | | | | | | | - Mohd Said Nurumal
- Kulliyyah of Nursing, International Islamic University, Kuantan, Malaysia
| | - Aimable Nzabonimana
- Center for Language Enhancement, College of Arts and Social Sciences, University of Rwanda, Huye, Rwanda
| | | | | | - Angela Chiu Yin Poon
- Faculty of Health Sciences and Sports, Macao Polytechnic University, Macao, China
| | | | | | - Ceryl G Sagun
- School of Nursing, Centro Escolar University, Manila, Philippines
| | - Riyaz Ahmed Shaik
- Department of Family & Community Medicine, College of Medicine, Majmaah University, Majmaah, Saudi Arabia
| | | | - Kathrin Sommer
- Italian Group for Adult Hematologic Disease, Data Center and Health Outcomes Research Unit, Rome, Italy
| | - Edgardo Toro
- Pontificia Universidad Católica de Valparaíso, School of Social Work, Valparaíso, Chile
| | | | - Elvira L Urgel
- School of Nursing, Centro Escolar University, Manila, Philippines
| | | | - Tita Vanichbuncha
- Department of Statistics, Chulalongkorn Business School, Bangkok, Thailand
| | - Naglaa Youssef
- Medical-surgical Nursing Department, Faculty of Nursing, Cairo University, Cairo, Egypt
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Chutarong W, Thammalikhit R, Kraiklang R, Sawangwong A, Saechang O, Guo Y, Zhang W. Impact of digital device utilization on public health surveillance to enhance city resilience during the public health emergency response: A case study of SARS-CoV-2 response in Thailand (2020-2023). Digit Health 2025; 11:20552076241304070. [PMID: 39777061 PMCID: PMC11705365 DOI: 10.1177/20552076241304070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2024] [Accepted: 11/08/2024] [Indexed: 01/11/2025] Open
Abstract
Objective This study aims to examine the impact of digital devices on public health surveillance, the impact of public health surveillance on resilient cities, and the impact of digital devices on resilient cities. Methods Questionnaires were issued to residents of Thailand during the severe acute respiratory syndrome coronavirus 2 response (2020-2023). In total, 1025 valid responses were recorded from Thai nationals and expatriates. Exploratory factor analysis, confirmatory factor analysis, and structural equation modeling were used to assess the model through IBM SPSS 23 and AMOS 23. Results Digital devices have a strong positive direct effect on public health surveillance (β = 0.73, p ≤ .001), public health surveillance has a strong positive direct effect on resilient cities (β = 0.79, p ≤ .001), and digital devices have a low positive direct and a moderate indirect effect on resilient cities (β = 0.13, p ≤ .001, and β = 0.58, p ≤ .001, respectively). The use of digital devices in data collection, analysis, and dissemination, positively impacted public health surveillance, considering five dimensions: medical and vaccine, individual, health care, epidemiological, and disease. Meanwhile, using digital devices in public health surveillance positively impacted the resilience of cities, considering three dimensions: socioeconomic, institutional, and living. The causal relationship model of the digital device utilization on public health surveillance enhancing the resilience of the cities met all the necessary criteria: X 2/df = 2.802, comparative fit index = 0.953, goodness of fit index = 0.901, normed fit index = 0.935, Tucker-Lewis index = 0.935, root mean square of approximation = 0.048, and root of mean square residual = 0.043. This indicates the model fits the empirical data. Conclusion Digital devices are vital tools in collecting, analyzing, and disseminating public health surveillance-related data during the public health emergency. This, in turn, can improve medical and vaccine, individual, health care, epidemiological, and disease surveillance, and also enhance cities' socioeconomic, institutional, and living resilience.
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Affiliation(s)
- Watcharaporn Chutarong
- Department of Urban Development and Management, School of Public Affairs, Zhejiang University, Hangzhou, Zhejiang, China
- Department of Urban Development and Management, China Institute of Urbanization, Zhejiang University, Hangzhou, Zhejiang, China
| | - Roongaroon Thammalikhit
- The Division of Preventive Medicine, Directorate of Medical Services, Royal Thai Air Force, Bangkok, Thailand
| | - Rungwasun Kraiklang
- Department of Industrial Engineering, Faculty of Engineering and Technology, Rajamangala University of Technology Isan, Nakhon Ratchasima, Thailand
| | - Anurak Sawangwong
- Industrial Engineering, Faculty of Engineering, Thai-Nichi Institute of Technology, Bangkok, Thailand
| | - Orachorn Saechang
- Faculty of Political Science and Public Administration, Chiang Mai University, Chiang Mai, Thailand
| | - Yuqian Guo
- Department of Anesthesiology and Intensive Care Medicine, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Weiwen Zhang
- Department of Urban Development and Management, School of Public Affairs, Zhejiang University, Hangzhou, Zhejiang, China
- Department of Urban Development and Management, China Institute of Urbanization, Zhejiang University, Hangzhou, Zhejiang, China
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Alsahli S, Hor SY, Lam M. Factors Influencing the Acceptance and Adoption of Mobile Health Apps by Physicians During the COVID-19 Pandemic: Systematic Review. JMIR Mhealth Uhealth 2023; 11:e50419. [PMID: 37938873 PMCID: PMC10666016 DOI: 10.2196/50419] [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: 06/30/2023] [Revised: 09/13/2023] [Accepted: 10/04/2023] [Indexed: 11/10/2023] Open
Abstract
BACKGROUND During the COVID-19 pandemic, the provision of and access to health care have been uniquely challenging, particularly during lockdowns or when dealing with COVID-19 cases. Health care professionals have had to provide patients with the necessary health care. However, delivering health care services while reducing face-to-face interaction puts an immense strain on health systems that are already overburdened. Against this backdrop, it is now more critical than ever to ensure the accessibility of health care services. Such access has been made increasingly available through mobile health (mHealth) apps. These apps have the potential to significantly improve health care outcomes and expectations and address some of the challenges confronting health care systems worldwide. Despite the advantages of mHealth, its acceptance and adoption remain low. Hence, health care organizations must consider the perceptions and opinions of physicians if the technology is to be successfully implemented. OBJECTIVE The objective of this systematic review was to explore and synthesize the scientific literature on the factors influencing the acceptance and adoption of mHealth among physicians during the COVID-19 pandemic. METHODS A systematic review of the studies published between March 2020 and December 2022 was conducted using the MEDLINE, Scopus, Embase, and ProQuest databases. The database search yielded an initial sample of 455 potential publications for analysis, of which 9 (2%) met the inclusion criteria. The methodology of this review was based on PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). RESULTS The factors influencing mHealth acceptance and adoption by physicians were divided into perceived barriers and perceived facilitators, which were further grouped into the following 3 major thematic categories: technological, individual, and organizational barriers and facilitators, respectively. The technological barriers were accessibility, technical issues, usefulness, and data management; individual barriers were perceived patient barriers, time and workload pressure, technical literacy, knowledge of mHealth, and peer support; and organizational barriers were financial factors, management support and engagement, data security, telemonitoring policy, and collaboration. The technological facilitators of uptake were technical factors, clinical usefulness, and data management; individual facilitators were patient-related care, intrinsic motivation, collaboration, and data sharing (individual); and organizational facilitators were workflow-related determinants, organizational financial support, recommendation of mHealth services, and evidence-based guidelines. CONCLUSIONS This review summarized the evidence on the factors influencing mHealth acceptance and adoption by physicians during the COVID-19 pandemic. The main findings highlighted the importance of addressing organizational readiness to support physicians with adequate resources, shifting the focus from technological to patient-centered factors, and the seamless integration of mHealth into routine practice during and beyond the pandemic. TRIAL REGISTRATION PROSPERO CRD42022356125; https://tinyurl.com/2mmhn5yu.
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Affiliation(s)
- Sultan Alsahli
- School of Public Health, Faculty of Health, University of Technology Sydney, Sydney, Australia
- Department of Health Information Technology and Management, College of Public Health and Health Informatics, Umm Al-Qura University, Makkah, Saudi Arabia
| | - Su-Yin Hor
- School of Public Health, Faculty of Health, University of Technology Sydney, Sydney, Australia
| | - Mary Lam
- Department of Health and Biomedical Sciences, STEM College, RMIT University, Melbourne, Australia
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