| Literature DB >> 35757637 |
Kritika Upadhyay1, Sonu Goel1,2,3, Kathirvel Soundappan1.
Abstract
Background: The Coronavirus disease 2019 (COVID-19) pandemic has exposed the public health preparedness and response system across the world. The current study was conducted to gauge the perception of public health professionals of Indian Technical and Economic Cooperation (ITEC) countries regarding the preparedness and responses of their countries in mitigating the COVID-19 pandemic. Methodology: Three capacity-building programs, namely "Managing COVID-19 Pandemic-Experience and Best practices of India" were conducted by PGIMER, Chandigarh, for public health professionals from ITEC countries from April to May 2021 in which 97 participants from 13 countries have participated. The tools used in the study were adapted from WHO's COVID-19 Strategic Preparedness and Response (SPRP), Monitoring and Evaluation Framework, interim guidelines for Critical preparedness, readiness and response actions for COVID-19, and a strategic framework for emergency preparedness, and finalized using Delphi technique. The overall preparedness of managing COVID-19 was rated using five-point Likert scale, whereas the overall score for the country in combating the COVID-19 pandemic was assessed using 10 point scale.Entities:
Keywords: COVID-19; ITEC; preparedness; response; senior administrators
Mesh:
Year: 2022 PMID: 35757637 PMCID: PMC9221997 DOI: 10.3389/fpubh.2022.835330
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Demographic characteristics of participants from Indian Technical and Economic Cooperation countries in the study.
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| Bangladesh | 41 | (42.3) | |
| Nepal | 19 | (19.6) | |
| Bhutan | 3 | (3.1) | |
| Afghanistan | 1 | (1.0) | |
| Maldives | 1 | (1.0) | |
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| Kenya | 12 | (12.4) | |
| Nigeria | 2 | (2.1) | |
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| Oman | 3 | (3.1) | |
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| Colombia | 5 | (5.2) | |
| Mexico | 5 | (5.2) | |
| Peru | 2 | (2.1) | |
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| Mongolia | 2 | (2.1) | |
| Fiji | 1 | (1.0) | |
| Median (IQR) age in years | 35.0 (29.0, 44.5) | ||
| Gender | Male | 67 | (69.1) |
| Female | 30 | (30.9) | |
| Highest education | Post graduation | 55 | (56.7) |
| Graduation | 42 | (43.3) | |
| Median (IQR) years of experience | 8.0 (3.0, 15.0) | ||
| Area of specialization | Medical Sciences | 77 | (79.4) |
| Others | 22 | (20.7) | |
| Primary role in their organization | Academic faculty | 33 | (34.0) |
| Programme manager | 23 | (23.7) | |
| Researcher | 13 | (13.4) | |
| Patient management | 12 | (12.4) | |
| Student | 8 | (8.2) | |
| Others | 2 | (2.1) |
IQR, Interquartile range.
Perception of participants about COVID-19 transmission and surveillance mechanism in their country.
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| Transmission | Community transmission | 67 | (69.1) |
| Sporadic | 19 | (19.6) | |
| Cluster of cases | 9 | (9.3) | |
| Don't know | 2 | (2.1) | |
| COVID-19 surveillance systema | Active contact-based | 68 | (70.1) |
| SARI based | 37 | (38.1) | |
| Hospital based | 35 | (36.1) | |
| Community-based | 26 | (26.8) | |
| ILI based | 16 | (16.5) | |
| None | 5 | (5.2) | |
| Presence of dedicated website for COVID-19 | Yes | 80 | (82.5) |
| No | 12 | (12.4) | |
| Don't know | 5 | (5.1) |
SARI, Severe acute respiratory illness; ILI, Influenza like illness; .
Perception of participants (n = 97) on COVID-19 response undertaken by their countries.
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| 1. | Availability of multisectoral-national operational plan | 23 | (23.7) | 37 | (38.1) | 37 | (38.1) |
| 2. | Human resource capacity and risk analysis assessment | 27 | (27.8) | 26 | (26.8) | 44 | (45.3) |
| 3. | Transparent governance and administration | 40 | (41.2) | 28 | (28.9) | 29 | (29.9) |
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| 4. | Adequate preparedness in reorganization of health systems in prevention and clinical management | 28 | (28.9) | 20 | (20.6) | 49 | (50.5) |
| 5. | Training of healthcare providers | 32 | (32.9) | 26 | (26.8) | 39 | (40.2) |
| 6. | Structured and uniform format for reporting | 60 | (61.9) | 23 | (23.7) | 14 | (14.5) |
| 7. | Adequate facility to test the samples of patients | 25 | (25.7) | 31 | (32.0) | 41 | (42.2) |
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| 8. | Availability of trained Rapid Response Team at all levels of healthcare | 40 | (41.2) | 27 | (27.8) | 30 | (30.9) |
| 9. | Regular analysis of epidemiological data for reviewing public health interventions | 50 | (51.5) | 30 | (30.9) | 17 | (17.5) |
| 10. | Availability of Standard Operating Procedures at all points of entry for screening and risk communication. | 49 | (50.5) | 30 | (30.9) | 18 | (18.5) |
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| 11. | Implementation of appropriate infection prevention and control strategies (like adequate triage system and isolation rooms, trained staffs, and other sufficient materials) | 45 | (46.4) | 25 | (25.8) | 27 | (27.8) |
| 12. | Availability of adequate and appropriate Personal Protective Equipment for healthcare providers | 59 | (60.8) | 18 | (18.6) | 20 | (20.6) |
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| 13. | Well-developed communication and community engagement strategies. | 26 | (26.8) | 37 | (38.1) | 34 | (35.1) |
| 14. | Excellent response and cooperation of the general public | 27 | (27.8) | 29 | (29.9) | 41 | (42.2) |
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| 15. | Adequate addressal of all essential healthcare needs of the population | 29 | (30.1) | 28 | (28.9) | 40 | (41.1) |
| Overall median (interquartile) score for control measures | 6.0 (4.5, 7.0) | ||||||
Challenges faced during the countries in control of COVID-19 pandemic.
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| Under testing of the susceptible population | 79 | (81.4) |
| Lack of appropriate PPEs | 69 | (71.1) |
| Lack of awareness in the public | 65 | (67.0) |
| Safety and security concerns of healthcare workers | 58 | (59.8) |
| Underreporting of cases | 52 | (53.6) |
| Poor implementation of public health interventions | 51 | (52.6) |
| Poor capacity of human resources | 51 | (52.6) |
| Poor multi-sectoral action | 48 | (49.5) |
| Poor governance/administration | 47 | (48.5) |
| Low inventories other than PPE | 44 | (45.4) |
| Panic due to misinformation | 31 | (32.0) |
| Others | 4 | (4.1) |
| No challenges | 2 | (2.1) |