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Lahiri A, Jha SS, Chakraborty A, Dey A, Dobe M. Home-Isolation Care in Newly COVID-19-Positive Elderly Patients: A Caregiver-Centric Explanatory Framework. Int J Public Health 2023; 68:1606060. [PMID: 37538233 PMCID: PMC10394230 DOI: 10.3389/ijph.2023.1606060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 06/29/2023] [Indexed: 08/05/2023] Open
Abstract
Objectives: This community-based study aimed to identify the effect of different behavioral factors of family caregivers on the decision for home-isolation-based treatment of a new COVID-19-diagnosed elderly individual. It also explored the facilitators and barriers contributing to the decision-making process. Methods: A mixed-methods design was adopted to study the role of behavioral constructs such as risk tolerance, risk aversion, regret aversion, loss aversion, self-efficacy, and risk perception in healthcare-seeking decisions. By integrating the findings from the quantitative and qualitative parts, a framework was developed. Results: Self-efficacy, risk perception, and risk tolerance related to different issues were crucial factors behind the healthcare decision. However, regarding the various issues under consideration, risk perception followed by risk tolerance were the significant predictors for decision-making. Conclusion: To enhance appropriateness and equity in emergency healthcare-seeking, interventions should target risk tolerance and risk perception, taking into account the awareness levels of caregivers and the target population's risk and regret aversion. Such integrated approaches can improve the quality of care for elderly patients in home-based settings.
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Affiliation(s)
- Arista Lahiri
- Dr. B. C. Roy Multi-Speciality Medical Research Centre, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India
| | - Sweety Suman Jha
- Dr. B. C. Roy Multi-Speciality Medical Research Centre, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India
| | - Arup Chakraborty
- Department of Community Medicine, Medical College and Hospital, Kolkata, West Bengal, India
| | - Abhijit Dey
- WHO-NTEP Technical Support Network, Swasthya Bhawan, Kolkata, West Bengal, India
| | - Madhumita Dobe
- Foundation for Actions and Innovations Towards Health Promotion (FAITH), Kolkata, West Bengal, India
- All India Institute of Hygiene and Public Health, Kolkata, West Bengal, India
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Tiwari S, Petrov AN, Devlin M, Welford M, Golosov N, DeGroote J, Degai T, Ksenofontov S. The second year of pandemic in the Arctic: examining spatiotemporal dynamics of the COVID-19 "Delta wave" in Arctic regions in 2021. Int J Circumpolar Health 2022; 81:2109562. [PMID: 35976076 PMCID: PMC9387323 DOI: 10.1080/22423982.2022.2109562] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
The second year of the COVID-19 pandemic in the Arctic was dominated by the Delta wave that primarily lasted between July and December 2021 with varied epidemiological outcomes. An analysis of the Arctic’s subnational COVID-19 data revealed a massive increase in cases and deaths across all its jurisdictions but at varying time periods. However, the case fatality ratio (CFR) in most Arctic regions did not rise dramatically and was below national levels (except in Northern Russia). Based on the spatiotemporal patterns of the Delta outbreak, we identified four types of pandemic waves across Arctic regions: Tsunami (Greenland, Iceland, Faroe Islands, Northern Norway, Northern Finland, and Northern Canada), Superstorm (Alaska), Tidal wave (Northern Russia), and Protracted Wave (Northern Sweden). These regionally varied COVID-19 epidemiological dynamics are likely attributable to the inconsistency in implementing public health prevention measures, geographical isolation, and varying vaccination rates. A lesson remote and Indigenous communities can learn from the Arctic is that the three-prong (delay-prepare-respond) approach could be a tool in curtailing the impact of COVID-19 or future pandemics. This article is motivated by previous research that examined the first and second waves of the pandemic in the Arctic. Data are available at https://arctic.uni.edu/arctic-covid-19.
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Affiliation(s)
- Sweta Tiwari
- ARCTICenter, University of Northern Iowa, Cedar Falls, Iowa, USA.,Department of Geography, University of Northern Iowa, Cedar Falls, Iowa, USA
| | - Andrey N Petrov
- ARCTICenter, University of Northern Iowa, Cedar Falls, Iowa, USA.,Department of Geography, University of Northern Iowa, Cedar Falls, Iowa, USA
| | - Michele Devlin
- ARCTICenter, University of Northern Iowa, Cedar Falls, Iowa, USA.,Center for Strategic Leadership, USA Army War College, Carlisle, Pennsylvania, USA
| | - Mark Welford
- Department of Geography, University of Northern Iowa, Cedar Falls, Iowa, USA
| | - Nikolay Golosov
- Department of Geography, Pennsylvania State University, Harrisburg, Pennsylvania, USA
| | - John DeGroote
- Department of Geography, University of Northern Iowa, Cedar Falls, Iowa, USA
| | - Tatiana Degai
- ARCTICenter, University of Northern Iowa, Cedar Falls, Iowa, USA.,Department of Anthropology, University of Victoria, Victoria, British Columbia, Canada
| | - Stanislav Ksenofontov
- ARCTICenter, University of Northern Iowa, Cedar Falls, Iowa, USA.,Department of Geography, University of Northern Iowa, Cedar Falls, Iowa, USA
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